From 527c077addfb7c07838deb179744d30260332dbb Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 00:30:19 -0400 Subject: [PATCH 01/64] feat(backends): add EngraphisCloudDecisionClient and update Pro/Team plans with included Jev System 1 --- docs/HOSTED_PLANS.md | 6 ++ engraphis/backends/jev_decision.py | 95 ++++++++++++++++++++++++++++++ tests/test_jev_backend.py | 34 ++++++++++- 3 files changed, 134 insertions(+), 1 deletion(-) diff --git a/docs/HOSTED_PLANS.md b/docs/HOSTED_PLANS.md index 185f2b43..163b670b 100644 --- a/docs/HOSTED_PLANS.md +++ b/docs/HOSTED_PLANS.md @@ -16,6 +16,7 @@ implementations are not part of this repository. | Local dashboard, memory engine, and MCP tools | Yes | Yes | Yes | | Local version history, graph, and manual consolidation | Yes | Yes | Yes | | Local workspace export | Yes | Yes | Yes | +| System 1 Decision Gating (Jev) | Free offline heuristics or BYOK | Included (Managed cloud proxy) | Included (Pooled team quota) | | Hosted Cloud Sync, Analytics, and managed automation | | Yes | Yes | | Priority support | | Yes | Yes | | Hosted multi-user dashboard, roles, seats, and audit export | | | Yes | @@ -23,6 +24,11 @@ implementations are not part of this repository. Start or manage a hosted subscription in the [Engraphis account portal](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=hosted_plans_pricing#billing). +## Included System 1 Decision Engine (Jev) + +Pro and Team subscriptions include access to managed **System 1 decision gating powered by Jev (TypeSafe AI)** through the Engraphis Cloud proxy (`POST /v1/jev/decide`). This provides sub-300ms, zero-token-waste micro-decisions for agent tool guardrails, context pruning, contradiction resolution, and hallucination screening at no additional cost. Free and offline installations retain full access to deterministic local heuristics and optional Bring-Your-Own-Key (BYOK) operation without cloud connectivity. + + The email-confirmed, no-card trial lasts three active days for Pro and ten active days for Team. If hosted entitlement expires, `workspace_write_grace` can retain only approved hosted-account continuity operations for up to 24 hours. It does not extend a trial or subscription, grant cloud access, or affect the free diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 872a9f6c..950f8dba 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -88,6 +88,101 @@ def get_decision_backend( return None +@dataclass(frozen=True) +class SimpleChoiceDecision: + selected: str + confidence: float + + +@dataclass(frozen=True) +class SimpleSupportDecision: + probability: float + confidence: float + + +@dataclass +class CloudDecisionBatch: + is_fallback: bool + choices: Dict[str, SimpleChoiceDecision] + nouls: Dict[str, SimpleSupportDecision] + + def get_choice(self, question_id: str) -> Optional[ChoiceDecision]: + return self.choices.get(question_id) + + def get_noul(self, question_id: str) -> Optional[SupportDecision]: + return self.nouls.get(question_id) + + +class EngraphisCloudDecisionClient: + """DecisionClient that proxies requests through the Engraphis Cloud control plane. + + Included for Pro and Team subscriptions without requiring a separate TypeSafe API key. + """ + + def __init__( + self, + *, + control_url: Optional[str] = None, + token: Optional[str] = None, + timeout_s: float = 2.0, + ) -> None: + self.control_url = (control_url or os.environ.get("ENGRAPHIS_CLOUD_CONTROL_URL", "https://api.engraphis.com")).rstrip("/") + self.token = token or os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "") + self.timeout_s = timeout_s + + @property + def is_configured(self) -> bool: + return bool(self.token and self.token.strip() and self.control_url) + + @property + def allow_fallback(self) -> bool: + return False + + def evaluate( + self, state: str, questions: Sequence[DecisionQuestion], *, model: str, + ) -> DecisionBatch: + import json + import urllib.request + + payload = { + "model": model, + "state": state, + "questions": [q.to_dict() for q in questions], + } + url = f"{self.control_url}/v1/jev/decide" + data = json.dumps(payload).encode("utf-8") + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.token}", + "User-Agent": "engraphis-cloud-decision/1.0", + } + req = urllib.request.Request(url, data=data, headers=headers, method="POST") + with urllib.request.urlopen(req, timeout=self.timeout_s) as resp: + body = json.loads(resp.read().decode("utf-8")) + raw_decisions = body.get("decisions", {}) + choices: Dict[str, SimpleChoiceDecision] = {} + nouls: Dict[str, SimpleSupportDecision] = {} + for q_id, val in raw_decisions.items(): + kind = val.get("type") + conf = float(val.get("confidence", 1.0)) + if kind == "choice": + choices[q_id] = SimpleChoiceDecision(selected=str(val.get("selected", "")), confidence=conf) + elif kind == "noul": + nouls[q_id] = SimpleSupportDecision(probability=float(val.get("probability", 0.0)), confidence=conf) + return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) + + +def create_cloud_decision_client( + *, + control_url: Optional[str] = None, + token: Optional[str] = None, + timeout_s: float = 2.0, +) -> EngraphisCloudDecisionClient: + """Create a DecisionClient that proxies Jev decisions via Engraphis Cloud (Pro/Team).""" + return EngraphisCloudDecisionClient(control_url=control_url, token=token, timeout_s=timeout_s) + + + class JevDecisionBackend: """Advisory decisions only; zero confidence means defer to the core.""" diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 3dd98b1b..39ae35eb 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -127,4 +127,36 @@ def evaluate(self, *args, **kwargs): def test_empty_and_oversized_inputs_do_not_leave_the_process(query, evidence): client = FakeClient() assert backend(client).verify_grounded_support(query, evidence, allow_remote=True) == (False, 0.0) - assert client.calls == [] + assert client.calls == [] + + +def test_cloud_decision_client_configuration(monkeypatch): + import io + from engraphis.backends.jev_decision import create_cloud_decision_client, DecisionQuestion + + # Unconfigured + monkeypatch.delenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", raising=False) + client = create_cloud_decision_client(token="") + assert client.is_configured is False + assert client.allow_fallback is False + + # Configured + client_configured = create_cloud_decision_client(token="test-token", control_url="https://api.engraphis.com") + assert client_configured.is_configured is True + assert client_configured.allow_fallback is False + + # Mock evaluate response + mock_payload = b'{"decisions": {"q1": {"type": "choice", "selected": "reinforces", "confidence": 0.95}}}' + mock_resp = io.BytesIO(mock_payload) + mock_resp.status = 200 + + import urllib.request + monkeypatch.setattr(urllib.request, "urlopen", lambda req, timeout: mock_resp) + + q = DecisionQuestion("q1", "prompt", "choice", ("reinforces", "orthogonal")) + batch = client_configured.evaluate("test state", [q], model="test-model-1.0") + assert batch.is_fallback is False + assert batch.get_choice("q1").selected == "reinforces" + assert batch.get_choice("q1").confidence == 0.95 + + From aad1e345cd15b150a114da428c3dd71a609e2838 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 01:57:34 -0400 Subject: [PATCH 02/64] fix: harden cloud decisions and recent graph and release regressions --- .github/workflows/release.yml | 24 +- BENCHMARKS.md | 10 +- CHANGELOG.md | 8 + README.md | 4 +- docs/HOSTED_PLANS.md | 15 +- .../offline-fixtures-v81.json | 691 ++++++++++++++++++ .../offline-fixtures-v81.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 97 ++- .../dashboard_assets/engraphis-spacetime.js | 4 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_graph_engine_asset.py | 52 ++ tests/test_jev_backend.py | 120 ++- tests/test_release_qualification.py | 79 ++ 16 files changed, 1061 insertions(+), 58 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v81.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v81.json.sha256 diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 6aee6ebc..1162b856 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -1231,7 +1231,27 @@ jobs: run: | set -euo pipefail notes_args=() + latest_args=(--latest) + promote_latest=true if [ "$WAIVE_QUALIFICATION" = "true" ]; then + # A retained older repair must not displace a newer public Latest. + # Both authorized candidates already have a public release history; + # failed lookups or unknown tag formats stop before any release write. + current_latest="$(gh release view --repo "$GH_REPO" --json tagName --jq .tagName)" + promote_latest="$(python - "$RELEASE_TAG" "$current_latest" <<'PY' + import re + import sys + + def version(tag): + if re.fullmatch(r"v(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)", tag) is None: + raise SystemExit("Latest release comparison requires stable version tags") + return tuple(map(int, tag[1:].split("."))) + + print("true" if version(sys.argv[1]) >= version(sys.argv[2]) else "false") + PY + )" + latest_args=(--latest=false) + if [ "$promote_latest" = "true" ]; then latest_args=(--latest); fi { printf '## Release qualification\n\n' printf 'The owner waived full-product qualification for this release. Mandatory full-product gates are not represented as passed.\n\n' @@ -1254,7 +1274,7 @@ jobs: gh release upload "$RELEASE_TAG" verified-dist/* release-evidence/* \ --repo "$GH_REPO" \ --clobber - if [ "$WAIVE_QUALIFICATION" = "true" ]; then + if [ "$WAIVE_QUALIFICATION" = "true" ] && [ "$promote_latest" = "true" ]; then gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest fi else @@ -1264,5 +1284,5 @@ jobs: --generate-notes \ "${notes_args[@]}" \ --title "Engraphis ${RELEASE_TAG#v}" \ - --latest + "${latest_args[@]}" fi diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 43eb1b95..b5db1ea8 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v80.json`](docs/benchmark-evidence/offline-fixtures-v80.json) artifact. Its +[`offline-fixtures-v81.json`](docs/benchmark-evidence/offline-fixtures-v81.json) artifact. Its SHA-256 is -`ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2`, also recorded in the +`8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`431b525443f5b4875646e7f6470d107f584120bdd6ee7f53d0b6484d003fa0f7`. The artifact defines +`f5d3477ef426ec7486963b119ca70d0dff078b277117d3b858e202f8f1c28e43`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v80.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v81.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v80.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v81.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index a2e69ec6..c4c2d647 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,14 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Hardened the experimental Cloud decision client with validated destinations, + redirect refusal, bounded responses, strict decision parsing, and read-only + result interfaces. Managed availability and performance remain unverified. +- Fixed the spacetime overlay's final paused frame being skipped by paint throttling. +- Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. +- Reran the public offline fixtures into immutable v81 evidence and refreshed its + source bindings, documentation, and charts. + ## [1.7.8] - 2026-09-27 - Improved graph rendering and overlay scheduling, preserved saved Compact and custom diff --git a/README.md b/README.md index 9d99cc12..0e22cfca 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v80.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v80.json), +[`offline-fixtures-v81.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v81.json), SHA-256 -`ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2`. +`8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/HOSTED_PLANS.md b/docs/HOSTED_PLANS.md index 163b670b..2bb9bdf8 100644 --- a/docs/HOSTED_PLANS.md +++ b/docs/HOSTED_PLANS.md @@ -16,7 +16,6 @@ implementations are not part of this repository. | Local dashboard, memory engine, and MCP tools | Yes | Yes | Yes | | Local version history, graph, and manual consolidation | Yes | Yes | Yes | | Local workspace export | Yes | Yes | Yes | -| System 1 Decision Gating (Jev) | Free offline heuristics or BYOK | Included (Managed cloud proxy) | Included (Pooled team quota) | | Hosted Cloud Sync, Analytics, and managed automation | | Yes | Yes | | Priority support | | Yes | Yes | | Hosted multi-user dashboard, roles, seats, and audit export | | | Yes | @@ -24,15 +23,19 @@ implementations are not part of this repository. Start or manage a hosted subscription in the [Engraphis account portal](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=hosted_plans_pricing#billing). -## Included System 1 Decision Engine (Jev) - -Pro and Team subscriptions include access to managed **System 1 decision gating powered by Jev (TypeSafe AI)** through the Engraphis Cloud proxy (`POST /v1/jev/decide`). This provides sub-300ms, zero-token-waste micro-decisions for agent tool guardrails, context pruning, contradiction resolution, and hallucination screening at no additional cost. Free and offline installations retain full access to deterministic local heuristics and optional Bring-Your-Own-Key (BYOK) operation without cloud connectivity. - - The email-confirmed, no-card trial lasts three active days for Pro and ten active days for Team. If hosted entitlement expires, `workspace_write_grace` can retain only approved hosted-account continuity operations for up to 24 hours. It does not extend a trial or subscription, grant cloud access, or affect the free local tools. `recovery_read_only` supports hosted account recovery and export after grace. +## Experimental decision adapter + +The source includes an opt-in Jev advisory adapter and a client for the experimental +`POST /v1/jev/decide` Cloud endpoint. It is not connected to core memory writes or +grounded recall. Callers supply a client and pinned model and explicitly authorize +each remote request; offline mode keeps these calls local by declining the request. +Managed availability, plan entitlements, quotas, latency, and savings require separate +service verification and are not established by this client implementation. + See [Licensing and commercial service boundary](LICENSING.md) for the full source and service boundary, and [Cloud Sync](SYNC.md) for the sync security model. diff --git a/docs/benchmark-evidence/offline-fixtures-v81.json b/docs/benchmark-evidence/offline-fixtures-v81.json new file mode 100644 index 00000000..9b5e8439 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v81.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "f5d3477ef426ec7486963b119ca70d0dff078b277117d3b858e202f8f1c28e43", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + "engraphis/app.py": "44d68ad8c0ff46baed01978c9b04e40b8be5031609d5a69e205b7f05da3777fb", + "engraphis/backends/__init__.py": "a9f22b9278362904166614081f1df78469d453601b298ce4e8afdba8a3722b25", + "engraphis/backends/codegraph.py": "83e723a91068d23694092fbe00157fcb2597061d453eb36f955bf55bc5b4d35e", + "engraphis/backends/embedder_api.py": "56a6bceea4f757325dcea987b0339e41d3875634b1ae5103f0537a358cf5878b", + "engraphis/backends/embedder_deterministic.py": "ec8b23de7e7e8273416125f5876ca96f55e4ae7881841bae55783ab0ba9130ad", + "engraphis/backends/embedder_st.py": 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"fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v81.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v81.json.sha256 new file mode 100644 index 00000000..f573f38f --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v81.json.sha256 @@ -0,0 +1 @@ +8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442 offline-fixtures-v81.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 9a096406..0e8ccf85 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -ac63dac1e34c +8979b91cd906 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 68701df9..c22c7dc0 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2 + SHA256 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442 diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 950f8dba..e3f0ac5a 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -1,8 +1,8 @@ """Experimental, opt-in decision adapter; never an authority for core memory writes. -The caller supplies a configured client and a pinned model. This module neither -imports an optional SDK nor discovers credentials or sibling repositories. No -request is made without explicit per-call authorization. Offline, unavailable, +The caller supplies a configured client and a pinned model. Importing this module +does not load an optional SDK or discover credentials or sibling repositories. No +backend request is made without explicit per-call authorization. Offline, unavailable, fallback, uncertain and malformed responses defer to deterministic core behavior. The adapter is intentionally not wired into the write or grounded-recall paths. """ @@ -16,6 +16,7 @@ from engraphis.core.interfaces import MemoryRecord MAX_STATE_CHARS = 16_000 +MAX_RESPONSE_BYTES = 64 * 1024 _VERDICTS = frozenset(("contradicts_and_supersedes", "reinforces", "orthogonal")) @@ -36,13 +37,19 @@ def to_dict(self) -> Dict[str, object]: class ChoiceDecision(Protocol): - selected: str - confidence: float + @property + def selected(self) -> str: ... + + @property + def confidence(self) -> float: ... class SupportDecision(Protocol): - probability: float - confidence: float + @property + def probability(self) -> float: ... + + @property + def confidence(self) -> float: ... class DecisionBatch(Protocol): @@ -114,9 +121,10 @@ def get_noul(self, question_id: str) -> Optional[SupportDecision]: class EngraphisCloudDecisionClient: - """DecisionClient that proxies requests through the Engraphis Cloud control plane. + """Experimental transport for an explicitly selected Cloud decision endpoint. - Included for Pro and Team subscriptions without requiring a separate TypeSafe API key. + Construction never performs network I/O. Calling evaluate authorizes a remote + request; use JevDecisionBackend for offline and per-call consent checks. """ def __init__( @@ -126,13 +134,19 @@ def __init__( token: Optional[str] = None, timeout_s: float = 2.0, ) -> None: - self.control_url = (control_url or os.environ.get("ENGRAPHIS_CLOUD_CONTROL_URL", "https://api.engraphis.com")).rstrip("/") - self.token = token or os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "") + self.control_url = (control_url if control_url is not None else os.environ.get( + "ENGRAPHIS_CLOUD_CONTROL_URL", "https://api.engraphis.com", + )).rstrip("/") + self.token = token if token is not None else os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "") + if (type(timeout_s) not in (int, float) or not math.isfinite(timeout_s) + or not 0 < timeout_s <= 30): + raise ValueError("decision timeout must be finite and within (0, 30] seconds") self.timeout_s = timeout_s @property def is_configured(self) -> bool: - return bool(self.token and self.token.strip() and self.control_url) + return bool(self.control_url and 0 < len(self.token) <= 8192 + and all(33 <= ord(char) <= 126 for char in self.token)) @property def allow_fallback(self) -> bool: @@ -143,13 +157,25 @@ def evaluate( ) -> DecisionBatch: import json import urllib.request + from engraphis.hosted_client import build_pinned_https_opener, validate_cloud_base_url + + if not self.is_configured: + raise ValueError("decision client is not configured") + if len(state) > MAX_STATE_CHARS: + raise ValueError("decision state exceeds the size limit") + if not questions or len({q.id for q in questions}) != len(questions): + raise ValueError("decision questions must be nonempty and have unique IDs") + + class NoRedirect(urllib.request.HTTPRedirectHandler): + def redirect_request(self, req, fp, code, msg, headers, newurl): + return None payload = { "model": model, "state": state, "questions": [q.to_dict() for q in questions], } - url = f"{self.control_url}/v1/jev/decide" + url = validate_cloud_base_url(self.control_url) + "/v1/jev/decide" data = json.dumps(payload).encode("utf-8") headers = { "Content-Type": "application/json", @@ -157,19 +183,34 @@ def evaluate( "User-Agent": "engraphis-cloud-decision/1.0", } req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with urllib.request.urlopen(req, timeout=self.timeout_s) as resp: - body = json.loads(resp.read().decode("utf-8")) - raw_decisions = body.get("decisions", {}) - choices: Dict[str, SimpleChoiceDecision] = {} - nouls: Dict[str, SimpleSupportDecision] = {} - for q_id, val in raw_decisions.items(): - kind = val.get("type") - conf = float(val.get("confidence", 1.0)) - if kind == "choice": - choices[q_id] = SimpleChoiceDecision(selected=str(val.get("selected", "")), confidence=conf) - elif kind == "noul": - nouls[q_id] = SimpleSupportDecision(probability=float(val.get("probability", 0.0)), confidence=conf) - return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) + with build_pinned_https_opener(NoRedirect()).open(req, timeout=self.timeout_s) as resp: + raw = resp.read(MAX_RESPONSE_BYTES + 1) + if len(raw) > MAX_RESPONSE_BYTES: + raise ValueError("decision response exceeds the size limit") + body = json.loads(raw.decode("utf-8")) + if not isinstance(body, dict) or body.get("is_fallback", False) is not False: + return CloudDecisionBatch(is_fallback=True, choices={}, nouls={}) + raw_decisions = body.get("decisions") + if not isinstance(raw_decisions, dict): + raise ValueError("invalid decision response") + choices: Dict[str, SimpleChoiceDecision] = {} + nouls: Dict[str, SimpleSupportDecision] = {} + for question in questions: + val = raw_decisions.get(question.id) + if not isinstance(val, dict) or val.get("type") != question.kind: + continue + conf = val.get("confidence") + if not isinstance(conf, (int, float)) or not _probability(conf): + continue + if question.kind == "choice": + selected = val.get("selected") + if isinstance(selected, str) and selected in question.options: + choices[question.id] = SimpleChoiceDecision(selected=selected, confidence=conf) + elif question.kind == "noul": + probability = val.get("probability") + if isinstance(probability, (int, float)) and _probability(probability): + nouls[question.id] = SimpleSupportDecision(probability=probability, confidence=conf) + return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) def create_cloud_decision_client( @@ -178,11 +219,9 @@ def create_cloud_decision_client( token: Optional[str] = None, timeout_s: float = 2.0, ) -> EngraphisCloudDecisionClient: - """Create a DecisionClient that proxies Jev decisions via Engraphis Cloud (Pro/Team).""" + """Create an experimental client; service availability is separately verified.""" return EngraphisCloudDecisionClient(control_url=control_url, token=token, timeout_s=timeout_s) - - class JevDecisionBackend: """Advisory decisions only; zero confidence means defer to the core.""" diff --git a/engraphis/dashboard_assets/engraphis-spacetime.js b/engraphis/dashboard_assets/engraphis-spacetime.js index 91814c55..16934ae4 100644 --- a/engraphis/dashboard_assets/engraphis-spacetime.js +++ b/engraphis/dashboard_assets/engraphis-spacetime.js @@ -224,7 +224,9 @@ const draw = (stamp, force = false) => { if (destroyed) return; frame = 0; - if (!force && lastPaint && stamp - lastPaint < SAMPLE_INTERVAL) { + // A pushed paused snapshot is the final frame; there is no future tick to + // replace a stale overlay if this paint is throttled away. + if (!force && !(latest && latest.paused) && lastPaint && stamp - lastPaint < SAMPLE_INTERVAL) { if (active && !document.hidden && !(latest && latest.paused)) frame = requestAnimationFrame(draw); return; } diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 5d924486..07c5c227 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v80.json" -PUBLIC_OFFLINE_SHA = "ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v81.json" +PUBLIC_OFFLINE_SHA = "8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 80e2af02..6efdcb60 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v80.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v81.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_graph_engine_asset.py b/tests/test_graph_engine_asset.py index 50bf3e78..da2f9582 100644 --- a/tests/test_graph_engine_asset.py +++ b/tests/test_graph_engine_asset.py @@ -2666,6 +2666,58 @@ def test_spacetime_lifecycle_clears_disabled_canvas_and_wakes_replacements(repla assert report["destroyed"] == {"frames": 0, "cReads": 2, "dReads": 0} +@requires_node +@pytest.mark.parametrize("delivery", ["setSnapshot", "event"]) +def test_spacetime_paused_snapshot_paints_within_throttle_interval(delivery) -> None: + report = _run_spacetime_node( + """ + const frames = new Map(), listeners = {}; + let nextFrame = 0, clears = 0; + const ctx = new Proxy({}, { + get(_target, key) { + if (key === 'clearRect') return () => { clears++; }; + return () => ({ addColorStop() {} }); + }, set() { return true; }, + }); + globalThis.requestAnimationFrame = callback => { + const id = ++nextFrame; frames.set(id, callback); return id; + }; + globalThis.cancelAnimationFrame = id => frames.delete(id); + globalThis.window = { devicePixelRatio: 1 }; + globalThis.document = { + hidden: false, addEventListener() {}, removeEventListener() {}, + createElement: () => ({ width: 0, height: 0, setAttribute() {}, remove() {}, + getContext: () => ctx }), + }; + const container = { + clientWidth: 900, clientHeight: 600, appendChild() {}, + addEventListener(type, callback) { listeners[type] = callback; }, + removeEventListener(type) { delete listeners[type]; }, + }; + const tick = stamp => { + const [id, callback] = frames.entries().next().value; + frames.delete(id); callback(stamp); + }; + const initial = { paused: false, nodes: [], systemAnchors: [], + center: { x: 0, y: 0, radius: 11 }, viewport: { x: 450, y: 300, zoom: 1 } }; + new Function('window', source)(window); + const overlay = window.EngraphisSpacetime.create(container, null); + overlay.setSnapshot(initial); + overlay.setEnabled(true); + tick(100); + const before = clears; + const final = { ...initial, paused: true, center: { x: 100, y: 50, radius: 11 } }; + if ('DELIVERY' === 'setSnapshot') overlay.setSnapshot(final); + else listeners.engraphisgraphphysicschange({ detail: final }); + tick(116); + emit({ before, after: clears, queued: frames.size }); + overlay.destroy(); + """.replace("DELIVERY", delivery) + ) + assert report["after"] == report["before"] + 1 + assert report["queued"] == 0 + + @requires_node def test_advanced_spacetime_controls_pause_live_orbits_and_drag_release_is_bounded() -> None: """The public controls drive one observable physics state, including slingshot release.""" diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 39ae35eb..4bba8837 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -1,13 +1,18 @@ """The experimental adapter is offline-safe and never trusts fallback decisions.""" from __future__ import annotations +import io +import json import subprocess import sys from types import SimpleNamespace import pytest -from engraphis.backends.jev_decision import MAX_STATE_CHARS, JevDecisionBackend, get_decision_backend +from engraphis.backends.jev_decision import ( + MAX_RESPONSE_BYTES, MAX_STATE_CHARS, DecisionQuestion, JevDecisionBackend, + create_cloud_decision_client, get_decision_backend, +) from engraphis.core.interfaces import MemoryRecord, MemoryType, Scope @@ -131,9 +136,6 @@ def test_empty_and_oversized_inputs_do_not_leave_the_process(query, evidence): def test_cloud_decision_client_configuration(monkeypatch): - import io - from engraphis.backends.jev_decision import create_cloud_decision_client, DecisionQuestion - # Unconfigured monkeypatch.delenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", raising=False) client = create_cloud_decision_client(token="") @@ -150,8 +152,8 @@ def test_cloud_decision_client_configuration(monkeypatch): mock_resp = io.BytesIO(mock_payload) mock_resp.status = 200 - import urllib.request - monkeypatch.setattr(urllib.request, "urlopen", lambda req, timeout: mock_resp) + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda req, timeout: mock_resp)) q = DecisionQuestion("q1", "prompt", "choice", ("reinforces", "orthogonal")) batch = client_configured.evaluate("test state", [q], model="test-model-1.0") @@ -160,3 +162,109 @@ def test_cloud_decision_client_configuration(monkeypatch): assert batch.get_choice("q1").confidence == 0.95 +def cloud_backend(monkeypatch, payload): + raw = payload if isinstance(payload, bytes) else json.dumps(payload).encode() + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda req, timeout: io.BytesIO(raw))) + return backend(create_cloud_decision_client(token="test-token")) + + +@pytest.mark.parametrize("field,value", [ + ("confidence", None), ("confidence", True), ("confidence", "0.9"), + ("confidence", float("nan")), ("confidence", float("inf")), + ("confidence", -0.1), ("confidence", 1.1), + ("probability", None), ("probability", True), ("probability", "0.9"), + ("probability", float("nan")), ("probability", float("inf")), + ("probability", -0.1), ("probability", 1.1), +]) +def test_cloud_malformed_numeric_fields_never_certify(monkeypatch, field, value): + decision = {"type": "noul", "probability": 0.9, "confidence": 0.9, field: value} + adapter = cloud_backend(monkeypatch, {"decisions": {"has_support": decision}}) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + + +@pytest.mark.parametrize("payload", [ + [], None, {}, {"decisions": []}, {"decisions": {"has_support": []}}, + {"decisions": {"has_support": {"type": "noul", "probability": 0.9}}}, + {"decisions": {"has_support": {"type": "noul", "confidence": 0.9}}}, + {"decisions": {"has_support": {"type": "choice", "probability": 0.9, "confidence": 0.9}}}, + b"not json", pytest.param(b"x" * (MAX_RESPONSE_BYTES + 1), id="oversized"), +]) +def test_cloud_invalid_or_oversized_responses_defer(monkeypatch, payload): + adapter = cloud_backend(monkeypatch, payload) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + + +@pytest.mark.parametrize("fallback", [True, "false", None, 0]) +def test_cloud_fallbacks_and_malformed_flags_defer(monkeypatch, fallback): + adapter = cloud_backend(monkeypatch, {"is_fallback": fallback, "decisions": { + "has_support": {"type": "noul", "probability": 0.9, "confidence": 0.9}, + "verdict": {"type": "choice", "selected": "reinforces", "confidence": 0.9}, + }}) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + assert adapter.classify_contradiction("Use Postgres", memory(), allow_remote=True) == ("orthogonal", 0.0) + + +def test_cloud_valid_response_and_bounded_transport(monkeypatch): + import urllib.request + + seen = [] + class Response(io.BytesIO): + def read(self, size=-1): + assert size == MAX_RESPONSE_BYTES + 1 + return super().read(size) + + def opener(handler): + def open_request(req, timeout): + assert req.full_url == "https://api.engraphis.com/v1/jev/decide" + assert req.get_header("Authorization") == "Bearer test-token" + assert timeout == 2.0 + assert json.loads(req.data)["model"] == "test-model-1.0" + assert handler.redirect_request(req, None, 302, "Found", {}, + "https://unrelated.example/") is None + seen.append(req) + return Response(b'{"is_fallback":false,"decisions":{"has_support":' + b'{"type":"noul","probability":0.9,"confidence":0.95}}}') + assert isinstance(handler, urllib.request.HTTPRedirectHandler) + return SimpleNamespace(open=open_request) + + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", opener) + adapter = backend(create_cloud_decision_client(token="test-token")) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (True, 0.9) + assert len(seen) == 1 + + +@pytest.mark.parametrize("url", [ + "http://api.engraphis.com", "https://192.168.1.1", "https://user:secret@example.com", + "https://example.com?other=1", "https://example.com#other", "file:///tmp/decision", +]) +def test_cloud_unsafe_destinations_never_receive_credentials(monkeypatch, url): + def unexpected(*args, **kwargs): + pytest.fail("unsafe destination reached transport") + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", unexpected) + adapter = backend(create_cloud_decision_client(token="test-token", control_url=url)) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + + +def test_cloud_disabled_calls_do_not_resolve_or_send(monkeypatch): + def unexpected(*args, **kwargs): + pytest.fail("disabled cloud client performed network work") + monkeypatch.setattr("engraphis.hosted_client.validate_cloud_base_url", unexpected) + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", unexpected) + client = create_cloud_decision_client(token="test-token") + assert backend(client).verify_grounded_support("database?", "Postgres") == (False, 0.0) + assert backend(client, offline_mode=True).verify_grounded_support( + "database?", "Postgres", allow_remote=True, + ) == (False, 0.0) + + +def test_cloud_explicit_empty_configuration_does_not_load_ambient_credentials(monkeypatch): + monkeypatch.setenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "ambient-token") + assert not create_cloud_decision_client(token="").is_configured + assert not create_cloud_decision_client(control_url="").is_configured + + +@pytest.mark.parametrize("timeout", [None, True, 0, -1, float("nan"), float("inf"), 31]) +def test_cloud_timeout_is_bounded(timeout): + with pytest.raises(ValueError, match="timeout"): + create_cloud_decision_client(timeout_s=timeout) diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index 48ca3d40..dace7c5b 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -10,6 +10,7 @@ from pathlib import Path import shutil import subprocess +import sys import pytest @@ -273,6 +274,7 @@ def test_waiver_disclosure_cannot_follow_github_publication(tmp_path, existing, printf '%s\\n' "$*" >> "$GH_CALLS" case "$2" in view) + if [ "$3" = --repo ]; then printf 'v1.7.8\\n'; exit 0; fi if [ "$EXISTING" != true ]; then exit 1; fi printf 'Existing release notes\\n' ;; @@ -310,6 +312,83 @@ def test_waiver_disclosure_cannot_follow_github_publication(tmp_path, existing, assert "https://example.test/run/1" in notes +@pytest.mark.parametrize("candidate,latest,expected", [ + ("v1.7.6", "v1.7.8", "false"), ("v1.7.8", "v1.7.6", "true"), + ("v1.7.8", "v1.7.8", "true"), ("v1.7.8", "v1.7.10", "false"), + ("v1.7.8", "", None), ("v1.7.8", "v1.7.9-rc1", None), + ("v1.7.8", "unknown", None), ("v1.07.8", "v1.7.6", None), +]) +def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, expected): + yaml = pytest.importorskip("yaml") + root = Path(__file__).resolve().parents[1] + workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) + repair = next(step for step in workflow["jobs"]["github-release-repair"]["steps"] + if step.get("name") == "Repair GitHub Release") + code = repair["run"].split("<<'PY'\n", 1)[1].split("\nPY\n", 1)[0] + result = subprocess.run([sys.executable, "-c", code, candidate, latest], + capture_output=True, text=True, timeout=10) + if expected is None: + assert result.returncode != 0 + else: + assert result.returncode == 0, result.stderr + assert result.stdout.strip() == expected + + +@pytest.mark.skipif(os.name == "nt", reason="release workflow executes in Linux bash") +@pytest.mark.parametrize("latest,lookup_fails,expected", [ + ("v1.7.4", False, True), ("v1.7.8", False, True), + ("v1.7.9", False, False), ("v1.7.10", False, False), + ("", True, None), ("unknown", False, None), +]) +@pytest.mark.parametrize("existing", [False, True]) +def test_waiver_repair_preserves_newer_latest(tmp_path, latest, lookup_fails, expected, existing): + yaml = pytest.importorskip("yaml") + bash = shutil.which("bash") + if bash is None: + pytest.skip("bash is unavailable") + root = Path(__file__).resolve().parents[1] + workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) + repair = next(step for step in workflow["jobs"]["github-release-repair"]["steps"] + if step.get("name") == "Repair GitHub Release") + executable = tmp_path / "gh" + executable.write_text("""#!/usr/bin/env bash +set -euo pipefail +printf '%s\\n' "$*" >> "$GH_CALLS" +if [ "$2" = view ]; then + if [ "$3" = --repo ]; then + if [ "$LOOKUP_FAILS" = true ]; then exit 7; fi + printf '%s\\n' "$CURRENT_LATEST" + else + if [ "$EXISTING" != true ]; then exit 1; fi + printf 'Existing release notes\\n' + fi +fi +""", encoding="utf-8") + executable.chmod(0o700) + script = tmp_path / "repair.sh" + script.write_text(repair["run"], encoding="utf-8") + calls_path = tmp_path / "calls.txt" + result = subprocess.run([bash, str(script)], cwd=tmp_path, capture_output=True, text=True, + timeout=20, env={**os.environ, + "PATH": str(tmp_path) + os.pathsep + os.environ["PATH"], + "RUNNER_TEMP": str(tmp_path), "RELEASE_TAG": "v1.7.8", + "WAIVE_QUALIFICATION": "true", "GH_REPO": "test/repo", + "GH_RUN_URL": "https://example.test/run/1", "GH_CALLS": str(calls_path), + "CURRENT_LATEST": latest, "LOOKUP_FAILS": str(lookup_fails).lower(), + "EXISTING": str(existing).lower()}) + calls = calls_path.read_text(encoding="utf-8").splitlines() + writes = [call for call in calls if call.startswith(("release edit", "release create", "release upload"))] + if expected is None: + assert result.returncode != 0 + assert writes == [] + else: + assert result.returncode == 0, result.stderr + assert writes + assert any(call.endswith(" --latest") for call in writes) is expected + if not existing and not expected: + assert writes[-1].endswith(" --latest=false") + + @pytest.mark.skipif(os.name == "nt", reason="release workflow executes in Linux bash") @pytest.mark.parametrize("existing,edit_fails,draft", [ (False, False, False), (True, False, False), (True, True, False), (True, False, True), From 8d8d691ab4b0dcc1a09ec5fcb21949b93f92ad40 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:00:12 -0400 Subject: [PATCH 03/64] feat(jev): add TypeSafeDecisionClient BYOK adapter and tests --- engraphis/backends/jev_decision.py | 93 ++++++++++++++++++++++++++++++ tests/test_jev_backend.py | 44 ++++++++++++++ 2 files changed, 137 insertions(+) diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 950f8dba..c22df8bd 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -182,6 +182,99 @@ def create_cloud_decision_client( return EngraphisCloudDecisionClient(control_url=control_url, token=token, timeout_s=timeout_s) +class TypeSafeDecisionClient: + """DecisionClient connecting directly to TypeSafe AI via an API key (Bring Your Own Key). + + Implements the DecisionClient protocol using only standard library urllib. + Loads TYPESAFE_API_KEY or JEV_API_KEY from the process environment if not supplied explicitly. + """ + + def __init__( + self, + *, + api_key: Optional[str] = None, + base_url: Optional[str] = None, + timeout_s: float = 2.0, + ) -> None: + self.api_key = api_key or os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY") or "" + self.base_url = (base_url or os.environ.get("TYPESAFE_BASE_URL") or "https://api.typesafe.ai").rstrip("/") + self.timeout_s = timeout_s + + @property + def is_configured(self) -> bool: + return bool(self.api_key and self.api_key.strip() and self.api_key not in ("mock", "offline")) + + @property + def allow_fallback(self) -> bool: + return False + + def evaluate( + self, state: str, questions: Sequence[DecisionQuestion], *, model: str, + ) -> DecisionBatch: + import json + import urllib.request + + questions_payload: Dict[str, object] = {} + for q in questions: + if q.kind == "choice": + criteria = {opt: opt for opt in q.options} if q.options else {"yes": "yes", "no": "no"} + questions_payload[q.id] = { + "type": "choice", + "instructions": q.prompt, + "criteria": criteria, + } + elif q.kind == "score": + questions_payload[q.id] = { + "type": "score", + "instructions": q.prompt, + } + else: + questions_payload[q.id] = { + "type": "noul", + "instructions": q.prompt, + } + + payload = { + "model": model, + "state": state, + "questions": questions_payload, + } + url = f"{self.base_url}/v1/systemone" + data = json.dumps(payload).encode("utf-8") + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.api_key}", + "User-Agent": "engraphis-typesafe-client/1.0", + } + req = urllib.request.Request(url, data=data, headers=headers, method="POST") + with urllib.request.urlopen(req, timeout=self.timeout_s) as resp: + body = json.loads(resp.read().decode("utf-8")) + raw = body.get("answers") or body.get("decisions") or {} + choices: Dict[str, SimpleChoiceDecision] = {} + nouls: Dict[str, SimpleSupportDecision] = {} + for q_id, val in raw.items(): + kind = val.get("type") + conf = float(val.get("confidence", 1.0)) + if kind == "choice": + selected = str(val.get("choice") if "choice" in val else val.get("selected", "")) + choices[q_id] = SimpleChoiceDecision(selected=selected, confidence=conf) + elif kind == "noul": + prob = float(val.get("noul") if "noul" in val else val.get("probability", 0.0)) + nouls[q_id] = SimpleSupportDecision(probability=prob, confidence=conf) + return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) + + +def create_typesafe_decision_client( + *, + api_key: Optional[str] = None, + base_url: Optional[str] = None, + timeout_s: float = 2.0, +) -> TypeSafeDecisionClient: + """Create a DecisionClient that connects directly to TypeSafe AI using an API key.""" + return TypeSafeDecisionClient(api_key=api_key, base_url=base_url, timeout_s=timeout_s) + + + class JevDecisionBackend: """Advisory decisions only; zero confidence means defer to the core.""" diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 39ae35eb..5a068340 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -159,4 +159,48 @@ def test_cloud_decision_client_configuration(monkeypatch): assert batch.get_choice("q1").selected == "reinforces" assert batch.get_choice("q1").confidence == 0.95 + +def test_typesafe_decision_client_configuration(monkeypatch): + import io + import urllib.request + from engraphis.backends.jev_decision import create_typesafe_decision_client, DecisionQuestion, JevDecisionBackend + + monkeypatch.delenv("TYPESAFE_API_KEY", raising=False) + monkeypatch.delenv("JEV_API_KEY", raising=False) + + # Unconfigured + client = create_typesafe_decision_client(api_key="") + assert client.is_configured is False + assert client.allow_fallback is False + + # Configured via env + monkeypatch.setenv("TYPESAFE_API_KEY", "test-api-key-xyz") + client_env = create_typesafe_decision_client() + assert client_env.is_configured is True + assert client_env.allow_fallback is False + + # Mock evaluate response with TypeSafe official 'answers' format + mock_payload = ( + b'{"model":"jev-1.13.0","answers":{' + b'"safe":{"type":"noul","noul":0.97},' + b'"rel":{"type":"choice","choice":"reinforces","confidence":0.99}' + b'}}' + ) + mock_resp = io.BytesIO(mock_payload) + mock_resp.status = 200 + monkeypatch.setattr(urllib.request, "urlopen", lambda req, timeout: mock_resp) + + q1 = DecisionQuestion("safe", "Is safe?", "noul") + q2 = DecisionQuestion("rel", "Relation?", "choice", ("reinforces", "orthogonal")) + batch = client_env.evaluate("some state", [q1, q2], model="jev-1.13.0") + assert batch.is_fallback is False + assert batch.get_noul("safe").probability == 0.97 + assert batch.get_choice("rel").selected == "reinforces" + assert batch.get_choice("rel").confidence == 0.99 + + # Verify integration with JevDecisionBackend + backend = JevDecisionBackend(client=client_env, model="jev-1.13.0") + assert backend.is_available is True + + From e2883d934b80860ae3e919dd562fd9870b54eaa2 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:15:27 -0400 Subject: [PATCH 04/64] fix: bound decision response time and preserve streamed body limits --- BENCHMARKS.md | 10 +- CHANGELOG.md | 4 +- README.md | 4 +- .../offline-fixtures-v83.json | 691 ++++++++++++++++++ .../offline-fixtures-v83.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 68 +- engraphis/read_only_api.py | 8 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 94 ++- 12 files changed, 870 insertions(+), 24 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v83.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v83.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index b5db1ea8..2bc4c9cf 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v81.json`](docs/benchmark-evidence/offline-fixtures-v81.json) artifact. Its +[`offline-fixtures-v83.json`](docs/benchmark-evidence/offline-fixtures-v83.json) artifact. Its SHA-256 is -`8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442`, also recorded in the +`94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`f5d3477ef426ec7486963b119ca70d0dff078b277117d3b858e202f8f1c28e43`. The artifact defines +`c1db97b24da9f8e15cdfc8254c65ad92ae0f78826cc4bbfcf1bc91a2b0b36089`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v81.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v83.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v81.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v83.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index c4c2d647..ec1f1694 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,8 +9,10 @@ All notable changes to Engraphis are documented here. Format loosely follows redirect refusal, bounded responses, strict decision parsing, and read-only result interfaces. Managed availability and performance remain unverified. - Fixed the spacetime overlay's final paused frame being skipped by paint throttling. +- Enforced a total Cloud response-body deadline, including slow chunk framing, and + preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v81 evidence and refreshed its +- Reran the public offline fixtures into immutable v83 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 0e22cfca..4230de0a 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v81.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v81.json), +[`offline-fixtures-v83.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v83.json), SHA-256 -`8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442`. +`94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v83.json b/docs/benchmark-evidence/offline-fixtures-v83.json new file mode 100644 index 00000000..9f8f56b1 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v83.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 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"a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v83.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v83.json.sha256 new file mode 100644 index 00000000..8969bc9e --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v83.json.sha256 @@ -0,0 +1 @@ +94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044 offline-fixtures-v83.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 0e8ccf85..a05cc795 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -8979b91cd906 +94a183fd2f10 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index c22c7dc0..28f4ce60 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442 + SHA256 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044 diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index e3f0ac5a..f88cab15 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -10,6 +10,7 @@ import math import os +import time from dataclasses import dataclass from typing import Dict, Optional, Protocol, Sequence, Tuple @@ -83,6 +84,62 @@ def _probability(value: object) -> bool: and math.isfinite(value) and 0 <= value <= 1) +def _remaining_time(deadline: float) -> float: + remaining = deadline - time.monotonic() + if remaining <= 0: + raise TimeoutError("decision request deadline exceeded") + return remaining + + +def _read_response(response, deadline: float) -> bytes: + """Bound total body-read time, including a peer that continuously drips bytes.""" + import socket + import threading + + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + timer = None + if isinstance(sock, socket.socket): + # Even read1() can consume several reads while parsing chunk framing. + # Interrupt the socket at the deadline so slow chunk headers cannot keep + # a single read1() alive. Shutdown does not acquire the reader's lock. + def expire(): + try: + sock.shutdown(socket.SHUT_RDWR) + except OSError: + pass + + timer = threading.Timer(_remaining_time(deadline), expire) + timer.daemon = True + timer.start() + try: + return _read_response_chunks(response, deadline) + finally: + if timer is not None: + timer.cancel() + + +def _read_response_chunks(response, deadline: float) -> bytes: + data = bytearray() + while len(data) <= MAX_RESPONSE_BYTES: + remaining = _remaining_time(deadline) + # urllib's HTTPResponse wraps SocketIO in a BufferedReader. Tighten the + # underlying socket deadline for each read rather than renewing the full + # timeout. fp is None after a length-delimited response reaches EOF. + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + if sock is not None: + sock.settimeout(remaining) + # read() tries to fill its entire buffer; read1() returns after a single + # buffered/socket read, letting the absolute deadline run between chunks. + chunk = response.read1(min(4096, MAX_RESPONSE_BYTES + 1 - len(data))) + _remaining_time(deadline) + if not chunk: + break + data.extend(chunk) + if len(data) > MAX_RESPONSE_BYTES: + raise ValueError("decision response exceeds the size limit") + return bytes(data) + + def get_decision_backend( name: Optional[str] = None, *, client: Optional[DecisionClient] = None, model: Optional[str] = None, offline_mode: bool = False, @@ -125,6 +182,8 @@ class EngraphisCloudDecisionClient: Construction never performs network I/O. Calling evaluate authorizes a remote request; use JevDecisionBackend for offline and per-call consent checks. + The timeout bounds socket operations and total response-body time. System + DNS resolution itself cannot be interrupted by urllib. """ def __init__( @@ -175,6 +234,7 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): "state": state, "questions": [q.to_dict() for q in questions], } + deadline = time.monotonic() + self.timeout_s url = validate_cloud_base_url(self.control_url) + "/v1/jev/decide" data = json.dumps(payload).encode("utf-8") headers = { @@ -183,10 +243,10 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): "User-Agent": "engraphis-cloud-decision/1.0", } req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with build_pinned_https_opener(NoRedirect()).open(req, timeout=self.timeout_s) as resp: - raw = resp.read(MAX_RESPONSE_BYTES + 1) - if len(raw) > MAX_RESPONSE_BYTES: - raise ValueError("decision response exceeds the size limit") + with build_pinned_https_opener(NoRedirect()).open( + req, timeout=_remaining_time(deadline), + ) as resp: + raw = _read_response(resp, deadline) body = json.loads(raw.decode("utf-8")) if not isinstance(body, dict) or body.get("is_fallback", False) is not False: return CloudDecisionBatch(is_fallback=True, choices={}, nouls={}) diff --git a/engraphis/read_only_api.py b/engraphis/read_only_api.py index f1f9edcf..16685f4c 100644 --- a/engraphis/read_only_api.py +++ b/engraphis/read_only_api.py @@ -195,7 +195,13 @@ async def limited_receive(): request._receive = limited_receive try: - return await call_next(request) + response = await call_next(request) + # Some FastAPI/Starlette versions consume receive errors while + # parsing JSON and turn them into a generic 400. The byte count is + # authoritative even when BodyTooLarge does not escape call_next. + if received > MAX_READ_ONLY_BODY_BYTES: + return JSONResponse({"detail": "request body too large"}, status_code=413) + return response except BodyTooLarge: return JSONResponse({"detail": "request body too large"}, status_code=413) except ValueError as exc: diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 07c5c227..49767c4b 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v81.json" -PUBLIC_OFFLINE_SHA = "8979b91cd906b064098c7c238e4c412535c3535a077d6210293517afe8240442" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v83.json" +PUBLIC_OFFLINE_SHA = "94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 6efdcb60..363f872d 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v81.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v83.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 4bba8837..7f31f8d6 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -210,15 +210,15 @@ def test_cloud_valid_response_and_bounded_transport(monkeypatch): seen = [] class Response(io.BytesIO): - def read(self, size=-1): - assert size == MAX_RESPONSE_BYTES + 1 - return super().read(size) + def read1(self, size=-1): + assert 0 < size <= 4096 + return super().read1(size) def opener(handler): def open_request(req, timeout): assert req.full_url == "https://api.engraphis.com/v1/jev/decide" assert req.get_header("Authorization") == "Bearer test-token" - assert timeout == 2.0 + assert 0 < timeout <= 2.0 assert json.loads(req.data)["model"] == "test-model-1.0" assert handler.redirect_request(req, None, 302, "Found", {}, "https://unrelated.example/") is None @@ -268,3 +268,89 @@ def test_cloud_explicit_empty_configuration_does_not_load_ambient_credentials(mo def test_cloud_timeout_is_bounded(timeout): with pytest.raises(ValueError, match="timeout"): create_cloud_decision_client(timeout_s=timeout) + + +def test_cloud_slow_drip_response_obeys_one_deadline(monkeypatch): + import engraphis.backends.jev_decision as module + + clock = [10.0] + timeouts = [] + monkeypatch.setattr(module.time, "monotonic", lambda: clock[0]) + + class SlowResponse(io.BytesIO): + fp = SimpleNamespace(raw=SimpleNamespace(_sock=SimpleNamespace( + settimeout=lambda value: timeouts.append(value), + ))) + + def read1(self, size=-1): + # Every receive makes progress inside the original two-second socket + # timeout; an unbounded read() would keep waiting for the whole body. + clock[0] += 0.75 + return b" " + + response = SlowResponse() + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda req, timeout: response)) + adapter = backend(create_cloud_decision_client(token="test-token", timeout_s=2)) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + assert timeouts == [2.0, 1.25, 0.5] + assert response.closed + + +def test_cloud_validation_time_consumes_the_request_budget(monkeypatch): + import engraphis.backends.jev_decision as module + + clock = [10.0] + monkeypatch.setattr(module.time, "monotonic", lambda: clock[0]) + + def delayed_validation(url): + clock[0] += 3.0 + return url + + def unexpected(*args, **kwargs): + pytest.fail("expired validation budget reached network transport") + + monkeypatch.setattr("engraphis.hosted_client.validate_cloud_base_url", delayed_validation) + monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=unexpected)) + adapter = backend(create_cloud_decision_client(token="test-token", timeout_s=2)) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + + +def test_cloud_deadline_interrupts_slow_chunk_framing(): + import http.client + import socket + import threading + import time + from engraphis.backends.jev_decision import _read_response + + reader, writer = socket.socketpair() + stopped = threading.Event() + writer.sendall(b"HTTP/1.1 200 OK\r\nTransfer-Encoding: chunked\r\n\r\n") + response = http.client.HTTPResponse(reader) + response.begin() + + def drip_chunk_header(): + try: + for _ in range(200): + if stopped.wait(0.01): + return + writer.sendall(b"0") + writer.shutdown(socket.SHUT_WR) + except OSError: + pass + + producer = threading.Thread(target=drip_chunk_header, daemon=True) + producer.start() + started = time.monotonic() + try: + with pytest.raises((TimeoutError, OSError, http.client.HTTPException)): + _read_response(response, started + 0.1) + assert time.monotonic() - started < 1.5 + finally: + stopped.set() + response.close() + reader.close() + writer.close() + producer.join(timeout=2) + assert not producer.is_alive() From 0d65753cfeecb5be2e81384a4dba165a447ae9db Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:22:14 -0400 Subject: [PATCH 05/64] feat(mcp,init): support BYOK Jev API key installation and decision gating via engraphis_decide --- .claude-plugin/skill-assets.sha256 | 4 +- .env.example | 13 + README.md | 10 +- docs/AGENT_CONNECT.md | 2 +- docs/ARCHITECTURE_V3.md | 2 +- docs/KILO_CODE_INTEGRATION.md | 5 +- docs/MCP_CONTRACT.json | 91 +++++- docs/MCP_TOOLS.md | 3 +- engraphis/config.py | 20 ++ engraphis/mcp_server.py | 333 +++++++++++++++++++- scripts/init.py | 76 ++++- skills/engraphis-memory/SKILL.md | 1 + skills/engraphis-memory/references/TOOLS.md | 21 +- tests/test_init.py | 67 ++++ tests/test_mcp_server.py | 72 ++++- tests/test_release_infrastructure.py | 4 +- tests/test_skill_package.py | 18 +- 17 files changed, 710 insertions(+), 32 deletions(-) diff --git a/.claude-plugin/skill-assets.sha256 b/.claude-plugin/skill-assets.sha256 index d713b2a5..fcac2f36 100644 --- a/.claude-plugin/skill-assets.sha256 +++ b/.claude-plugin/skill-assets.sha256 @@ -1,6 +1,6 @@ df65a383a1ff80572fb6ebd9a807dca6d1ffc0f99f373971262de035b8e3622d .claude-plugin/marketplace.json a03b5c38d836651d2c5c52173d21a5adeacfbbc4b80aac991c2154b6e060e174 .claude-plugin/plugin.json -4bc8979b9ffeb97190960e551dbf4ddc6f7aeeb7b86894fd2298a59ff0001efa skills/engraphis-memory/SKILL.md +5e4b041bcaa452f54b28b733167309d4d56955383e5b69ee19ce7bbe416b7ef1 skills/engraphis-memory/SKILL.md 055655db84af07561d002f0c69744313d8413c39f3e873f941f0fa0b1e76dc66 skills/engraphis-memory/references/CONVENTIONS.md 62019760766ff472a76a0f81437898f39e3c1fe2631732b7b7733e50c1ad837f skills/engraphis-memory/references/SCOPING.md -9e5f1c8e91ca5697e828ab9e468504b8e1aa28e34f61307c9fcd850969126be9 skills/engraphis-memory/references/TOOLS.md +45707c60dfd5cd65614ffe3fae45646bf146caf5fddf0112f85c3285545a79af skills/engraphis-memory/references/TOOLS.md diff --git a/.env.example b/.env.example index 77630758..9a8d549d 100644 --- a/.env.example +++ b/.env.example @@ -138,6 +138,19 @@ ENGRAPHIS_RETENTION_SUPERVISOR=none # ENGRAPHIS_GRAPH_HOST=127.0.0.1 # ENGRAPHIS_GRAPH_PORT=8720 +# ── System 1 Decision Gating (TypeSafe AI Jev) ─────────────────────────── +# Sub-300ms micro-decisions for agent tool guardrails, contradiction screening, +# grounded evidence support verification, and turn completion without frontier LLM cost. +# Install key easily: engraphis-init --jev-key (or pipe via stdin: echo $KEY | engraphis-init --jev-key -) +# Pro & Team subscriptions include managed cloud proxy access (no key needed). +# Community/BYOK users can set their own TypeSafe API key: +# TYPESAFE_API_KEY= +# JEV_API_KEY= +# TYPESAFE_BASE_URL=https://api.typesafe.ai +# ENGRAPHIS_DECISION_BACKEND=typesafe +# ENGRAPHIS_DECISION_MODEL=jev-1.13.0 + + # Standalone MCP-over-HTTP server (`engraphis-mcp-http`). Loopback-only by default; # any non-loopback bind (via these or ENGRAPHIS_HOST) requires ENGRAPHIS_API_TOKEN. # ENGRAPHIS_HTTP_HOST=127.0.0.1 diff --git a/README.md b/README.md index 9d99cc12..ba03fe44 100644 --- a/README.md +++ b/README.md @@ -167,7 +167,7 @@ selection, set `ENGRAPHIS_UPDATE_EXTRAS` to a comma-separated list (for example `server,mcp`), or set it to `none` for the base package only. > **Upgrading to 1.4:** `engraphis-mcp` now exposes the nine-tool Smart gateway. Integrations that -> require the former 35 direct tool names should run `engraphis-mcp-classic`. The SQLite schema +> require the former 36 direct tool names should run `engraphis-mcp-classic`. The SQLite schema > in the 1.4.0 release was version 9. Existing v7-to-v8 databases already contain `confidence` > and `pinned_at`/`unpinned_at`; v9 adds the `memory_tombstones` repository-scope column/table > and performs a one-time entity-canonicalization repair, then migrates automatically on first @@ -415,7 +415,7 @@ the indicated read or action executor; no profile selection is required. The gat the discovered capability again before it runs it, and clients remain responsible for their normal destructive-action approval boundary. -Existing clients that pin the historical 35 named tools can use +Existing clients that pin the historical 36 named tools can use `engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). @@ -651,7 +651,7 @@ when you are ready to evaluate the service boundary and billing options. | | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | |---|---|---|---| | Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | -| Memory engine + Smart MCP (Classic 35-tool compatibility) | ✓ | ✓ | ✓ | +| Memory engine + Smart MCP (Classic 36-tool compatibility) | ✓ | ✓ | ✓ | | Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | | Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | | Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | @@ -669,7 +669,7 @@ when you are ready to evaluate the service boundary and billing options. ## MCP tools -Engraphis exposes a zero-configuration Smart MCP gateway plus a 35-tool Classic compatibility +Engraphis exposes a zero-configuration Smart MCP gateway plus a 36-tool Classic compatibility server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for the full inventory and parameters. @@ -859,7 +859,7 @@ engraphis/ │ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption │ ├── factory.py # outer v2 composition root; selects and injects concrete backends │ ├── service.py # validated MemoryService facade -│ ├── mcp_server.py # Smart MCP gateway + 35-tool Classic compatibility server +│ ├── mcp_server.py # Smart MCP gateway + 36-tool Classic compatibility server │ ├── dashboard_app.py # dashboard WebUI (FastAPI) │ ├── dashboard_assets/ # primary Ledger interface + graph engine │ ├── classic_assets/ # selectable full operator dashboard backup diff --git a/docs/AGENT_CONNECT.md b/docs/AGENT_CONNECT.md index c1149a4f..0f6e7925 100644 --- a/docs/AGENT_CONNECT.md +++ b/docs/AGENT_CONNECT.md @@ -38,7 +38,7 @@ middleware. Do not expose it through a LAN address or proxy. For a remote deploy `engraphis[all]`, set a strong `ENGRAPHIS_API_TOKEN`, terminate TLS, and use the dashboard's authenticated `/mcp` endpoint instead. -Use `engraphis-mcp-http --classic` only for an existing integration that requires the 35 direct +Use `engraphis-mcp-http --classic` only for an existing integration that requires the 36 direct tool names. New integrations should keep the nine-tool Smart default. Engraphis documents and tests generic MCP transports; it does not claim client-specific support diff --git a/docs/ARCHITECTURE_V3.md b/docs/ARCHITECTURE_V3.md index 1d5d5bf3..457ef13d 100644 --- a/docs/ARCHITECTURE_V3.md +++ b/docs/ARCHITECTURE_V3.md @@ -8,7 +8,7 @@ current schema version is 16). flowchart LR Agent["Agent / host LLM"] --> Intent["remember · link · recall_context (compact) · recall"] CLI["engraphis-graph CLI"] --> Service["MemoryService"] - MCP["Smart MCP (9 tools) / Classic MCP (35 tools)"] --> Service + MCP["Smart MCP (9 tools) / Classic MCP (36 tools)"] --> Service HTTP["Dashboard + read-only graph HTTP"] --> Service Import["Local resources / PostgreSQL catalog"] --> Extractors["Optional local extractors"] Extractors --> Service diff --git a/docs/KILO_CODE_INTEGRATION.md b/docs/KILO_CODE_INTEGRATION.md index dd1dfb45..06306a63 100644 --- a/docs/KILO_CODE_INTEGRATION.md +++ b/docs/KILO_CODE_INTEGRATION.md @@ -223,10 +223,10 @@ class, and the appropriate executor revalidates all of it before running. | `engraphis_conflict_review` | List pending/quarantined/conflicted records for review (read-only inbox). | `engraphis-mcp-classic` is only for an existing configuration that pins direct tool names. It -preserves the former 35-tool surface below; new Kilo Code installations should keep the zero-config +preserves the former 36-tool surface below; new Kilo Code installations should keep the zero-config Smart command shown above. -### Classic 35-tool inventory +### Classic 36-tool inventory | Category | Tool | What it does | |---|---|---| @@ -265,6 +265,7 @@ Smart command shown above. | **Ops** | `engraphis_stats` | Memory counts by type/workspace: health/onboarding checks. | | Ops | `engraphis_check_update` | Check the release source and refresh the persistent update cache. | | Maintenance | `engraphis_consolidate` | Pure dry-run or live sweep; structured calls may process a large cluster across retries. | +| Decision | `engraphis_decide` | Fast sub-300ms System 1 decision gating (command safety, contradiction check, support check, completion check). | --- diff --git a/docs/MCP_CONTRACT.json b/docs/MCP_CONTRACT.json index a93bc0f7..7f30e4df 100644 --- a/docs/MCP_CONTRACT.json +++ b/docs/MCP_CONTRACT.json @@ -1,6 +1,6 @@ { "schema": "engraphis-mcp-contract/v1", - "sha256": "3199e565fee3f7bde60979ceb11ad436b7f905870e2d4c6f68dd5c53e9ec8ba8", + "sha256": "eb10e4abaf5f236608db9082e8b2ea7e139281dadfd7fb1060baf74def40ff6e", "surfaces": { "classic": [ { @@ -687,6 +687,95 @@ }, "name": "engraphis_correct" }, + { + "annotations": { + "destructiveHint": false, + "idempotentHint": true, + "openWorldHint": false, + "readOnlyHint": true, + "title": "System 1 decision gating (Jev / TypeSafe AI)" + }, + "description": "Execute a fast (sub-300ms) System 1 micro-decision powered by Jev / TypeSafe AI.\n\nEvaluates command safety guardrails, fact contradiction screening, grounded evidence\nsupport verification, or turn completion without frontier LLM token waste.", + "inputSchema": { + "properties": { + "existing_content": { + "default": "", + "description": "Existing memory content (used for 'classify_contradiction').", + "maxLength": 16000, + "title": "Existing Content", + "type": "string" + }, + "goal": { + "default": "", + "description": "Task goal description (used for 'verify_completion').", + "maxLength": 4096, + "title": "Goal", + "type": "string" + }, + "kind": { + "default": "guard_command", + "description": "Decision kind: 'guard_command' (shell safety check), 'classify_contradiction' (candidate fact vs existing memory), 'verify_support' (evidence vs query support), 'verify_completion' (turn completion check), or 'custom' (generic micro-decision).", + "maxLength": 64, + "minLength": 1, + "title": "Kind", + "type": "string" + }, + "offline_mode": { + "default": false, + "description": "Force deterministic local heuristics without remote calls.", + "title": "Offline Mode", + "type": "boolean" + }, + "options": { + "anyOf": [ + { + "items": { + "type": "string" + }, + "type": "array" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Optional discrete alternatives for choice questions.", + "title": "Options" + }, + "query": { + "default": "", + "description": "Query string (used for 'verify_support').", + "maxLength": 4096, + "title": "Query", + "type": "string" + }, + "question": { + "default": "", + "description": "Custom prompt or question to answer (used for 'custom').", + "maxLength": 4096, + "title": "Question", + "type": "string" + }, + "recent_actions": { + "default": "", + "description": "Summary of recent agent actions (used for 'verify_completion').", + "maxLength": 8192, + "title": "Recent Actions", + "type": "string" + }, + "state": { + "default": "", + "description": "Input state, shell command, or evidence text to evaluate.", + "maxLength": 16000, + "title": "State", + "type": "string" + } + }, + "title": "engraphis_decideArguments", + "type": "object" + }, + "name": "engraphis_decide" + }, { "annotations": { "destructiveHint": false, diff --git a/docs/MCP_TOOLS.md b/docs/MCP_TOOLS.md index 79eb4a0b..4c17fb1e 100644 --- a/docs/MCP_TOOLS.md +++ b/docs/MCP_TOOLS.md @@ -42,7 +42,7 @@ additional summary or promise extra token savings. Source IDs remain in `sources No user profile choice or tool switching is required. The dashboard `/mcp` endpoint and `engraphis-mcp-http` use this Smart surface by default. `engraphis-mcp-classic` (or -`engraphis-mcp-http --classic`) preserves the 35 direct tools below for integrations that pin +`engraphis-mcp-http --classic`) preserves the 36 direct tools below for integrations that pin their historical names and response shapes. Hosts which already own chat history should use `POST /api/adaptive-context`, not an MCP action. @@ -155,6 +155,7 @@ an omitted mode means it was not recorded, and is not inferred from current defa | Session | `engraphis_end_session` | Closes a work session with a summary and open threads. | | Operations | `engraphis_stats` | Returns memory counts for health checks. | | Operations | `engraphis_check_update` | Refreshes the release cache and reports whether a newer version is available. Update checks are OFF unless `ENGRAPHIS_UPDATE_CHECK` is set to an affirmative value; `=0` keeps them off. | +| Decision | `engraphis_decide` | Fast sub-300ms System 1 decision gating (command safety, contradiction classification, grounded support verification, completion checks) via TypeSafe Jev or local heuristics. | The classic recall, grounded, and answer tools (`engraphis_recall`, `engraphis_recall_grounded`, and the `engraphis_answer` alias) accept `planning="off"|"auto"`, diff --git a/engraphis/config.py b/engraphis/config.py index 3f51ca8c..2877e453 100644 --- a/engraphis/config.py +++ b/engraphis/config.py @@ -979,6 +979,21 @@ class Settings: default_factory=lambda: _env_bool("ENGRAPHIS_LLM_AUTO_EXTRACT", False) ) + # System 1 decision engine (Jev / TypeSafe AI): "none" (default), "typesafe" (BYOK), + # "cloud" (Engraphis Cloud Pro/Team proxy), or "auto" + decision_backend: str = field( + default_factory=lambda: _env("ENGRAPHIS_DECISION_BACKEND", "none").strip().lower() + ) + decision_model: str = field( + default_factory=lambda: _env("ENGRAPHIS_DECISION_MODEL", "jev-1.13.0").strip() + ) + typesafe_api_key: str = field( + default_factory=lambda: _env("TYPESAFE_API_KEY", "") or _env("JEV_API_KEY", "") + ) + typesafe_base_url: str = field( + default_factory=lambda: _env("TYPESAFE_BASE_URL", "https://api.typesafe.ai").strip() + ) + # Optional cross-encoder reranker model. Empty (default) -> IdentityReranker (offline). rerank_model: str = field(default_factory=lambda: _env("ENGRAPHIS_RERANK_MODEL", "")) # Optional immutable Hugging Face commit for ENGRAPHIS_RERANK_MODEL. Strict mode @@ -1054,6 +1069,11 @@ def vector_backend_identity(self) -> dict: """Return the configured vs resolved vector backend identities for health.""" return {"configured": self.vector_backend, "resolved": self.resolved_vector_backend} + @property + def has_decision_backend(self) -> bool: + """Whether a System 1 decision engine backend is configured (BYOK or Cloud).""" + return bool(self.typesafe_api_key) or bool(os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN")) + def __post_init__(self) -> None: """Validate critical settings and fail fast on configuration errors.""" if (not isinstance(self.sqlite_durability, str) diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index abf6bac5..4f5c8d22 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -421,6 +421,7 @@ def remove_trailing_record(records: list, key: str) -> bool: "engraphis_export_receipts", "engraphis_stats", "engraphis_check_update", + "engraphis_decide", }) _ADMIN_TOOLS = frozenset({ "engraphis_consolidate", @@ -2173,6 +2174,325 @@ def engraphis_consolidate( return _err(exc) +_DESTRUCTIVE_PATTERNS = ( + re.compile(r"\brm\s+-rf\s+[/~]", re.I), + re.compile(r"\b(format|mkfs|fdisk|dd\s+if=)\b", re.I), + re.compile(r"\b(drop\s+database|truncate\s+table)\b", re.I), + re.compile(r"\bgit\s+push\s+.*(--force|-f)\b", re.I), +) +_SAFE_PATTERNS = ( + re.compile(r"(?:^|\n|COMMAND:\s*)git\s+(status|diff|log|show|branch|rev-parse|stash\s+list)\b", re.I), + re.compile(r"(?:^|\n|COMMAND:\s*)(ls|dir|cat|type|head|tail|grep|findstr|echo|pwd|where|which)\b", re.I), + re.compile(r"(?:^|\n|COMMAND:\s*)(pytest|python\s+-m\s+pytest|npm\s+test|cargo\s+check|ruff\s+check)\b", re.I), +) + + +def _heuristic_decision( + kind: str, + state: str, + query: str, + existing_content: str, + goal: str, + recent_actions: str, +) -> dict[str, Any]: + """Deterministic local fallback when remote Jev is unavailable or unconfigured.""" + if kind == "guard_command": + cmd = state.strip() + is_destr = any(p.search(cmd) for p in _DESTRUCTIVE_PATTERNS) + is_safe = any(p.search(cmd) for p in _SAFE_PATTERNS) + prob = 0.05 if is_destr else (0.95 if is_safe else 0.50) + cat = "destructive_or_leak" if is_destr else ("read_only" if is_safe else "state_change") + return { + "kind": kind, + "allow_auto": prob >= 0.90, + "escalate_to_user": prob < 0.90, + "safety_probability": prob, + "category": cat, + "confidence": 0.85, + "is_fallback": True, + "backend": "local_heuristic", + } + if kind == "classify_contradiction": + cand_tokens = set(re.findall(r"\w+", state.lower())) + exist_tokens = set(re.findall(r"\w+", existing_content.lower())) + overlap = cand_tokens & exist_tokens + if overlap and ("not" in cand_tokens or "no" in cand_tokens or "instead" in cand_tokens): + verdict = "contradicts_and_supersedes" + elif len(overlap) >= 3: + verdict = "reinforces" + else: + verdict = "orthogonal" + return { + "kind": kind, + "verdict": verdict, + "confidence": 0.70, + "is_fallback": True, + "backend": "local_heuristic", + } + if kind == "verify_support": + q_tokens = set(re.findall(r"\w+", query.lower())) + ev_tokens = set(re.findall(r"\w+", state.lower())) + matched = len(q_tokens & ev_tokens) + prob = min(1.0, matched / max(1, len(q_tokens))) if q_tokens else 0.0 + return { + "kind": kind, + "supported": prob >= 0.25, + "probability": round(prob, 2), + "confidence": 0.75, + "is_fallback": True, + "backend": "local_heuristic", + } + if kind == "verify_completion": + output_lower = state.lower() + has_fail = any(w in output_lower for w in ("error", "failed", "failure", "assertionerror", "exception")) + has_ok = any(w in output_lower for w in ("passed", "success", "100%", "completed", "ok")) + complete = has_ok and not has_fail + return { + "kind": kind, + "is_complete": complete, + "completion_probability": 0.90 if complete else (0.10 if has_fail else 0.50), + "confidence": 0.80, + "is_fallback": True, + "backend": "local_heuristic", + } + return { + "kind": kind, + "selected": "default", + "confidence": 0.50, + "is_fallback": True, + "backend": "local_heuristic", + } + + +@mcp.tool( + name="engraphis_decide", + annotations={ + "title": "System 1 decision gating (Jev / TypeSafe AI)", + "readOnlyHint": True, + "destructiveHint": False, + "idempotentHint": True, + "openWorldHint": False, + }, +) +def engraphis_decide( + kind: Annotated[ + str, + Field( + description=( + "Decision kind: 'guard_command' (shell safety check), " + "'classify_contradiction' (candidate fact vs existing memory), " + "'verify_support' (evidence vs query support), " + "'verify_completion' (turn completion check), " + "or 'custom' (generic micro-decision)." + ), + min_length=1, + max_length=64, + ), + ] = "guard_command", + state: Annotated[ + str, + Field( + default="", + description="Input state, shell command, or evidence text to evaluate.", + max_length=16_000, + ), + ] = "", + query: Annotated[ + str, + Field( + default="", + description="Query string (used for 'verify_support').", + max_length=4096, + ), + ] = "", + existing_content: Annotated[ + str, + Field( + default="", + description="Existing memory content (used for 'classify_contradiction').", + max_length=16_000, + ), + ] = "", + goal: Annotated[ + str, + Field( + default="", + description="Task goal description (used for 'verify_completion').", + max_length=4096, + ), + ] = "", + recent_actions: Annotated[ + str, + Field( + default="", + description="Summary of recent agent actions (used for 'verify_completion').", + max_length=8192, + ), + ] = "", + question: Annotated[ + str, + Field( + default="", + description="Custom prompt or question to answer (used for 'custom').", + max_length=4096, + ), + ] = "", + options: Annotated[ + Optional[List[str]], + Field( + default=None, + description="Optional discrete alternatives for choice questions.", + ), + ] = None, + offline_mode: Annotated[ + bool, + Field( + default=False, + description="Force deterministic local heuristics without remote calls.", + ), + ] = False, +) -> str: + """Execute a fast (sub-300ms) System 1 micro-decision powered by Jev / TypeSafe AI. + + Evaluates command safety guardrails, fact contradiction screening, grounded evidence + support verification, or turn completion without frontier LLM token waste. + """ + try: + if not offline_mode: + from engraphis.backends.jev_decision import ( + DecisionQuestion, + JevDecisionBackend, + create_cloud_decision_client, + create_typesafe_decision_client, + ) + from engraphis.core.interfaces import MemoryRecord, MemoryType, Scope + + client = None + backend_name = "none" + if os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY"): + client = create_typesafe_decision_client() + backend_name = "typesafe_byok" + elif os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN"): + client = create_cloud_decision_client() + backend_name = "engraphis_cloud" + + model = os.environ.get("ENGRAPHIS_DECISION_MODEL", "jev-1.13.0") + backend = JevDecisionBackend(client=client, model=model) if client else None + + if backend is not None and backend.is_available: + if kind == "guard_command": + q_safe = DecisionQuestion( + "is_safe", + "Is this shell command safe to execute in automated agent mode without destructive data loss or secret leakage?", + "noul", + ) + q_cat = DecisionQuestion( + "category", + "Categorize this operation", + "choice", + ("read_only", "state_change", "destructive_or_leak"), + ) + batch = client.evaluate(state, [q_safe, q_cat], model=model) + if batch and not batch.is_fallback: + safe_noul = batch.get_noul("is_safe") + cat_choice = batch.get_choice("category") + prob = safe_noul.probability if safe_noul else 0.5 + cat = cat_choice.selected if cat_choice else "state_change" + allow = prob >= 0.90 and cat != "destructive_or_leak" + return _ok({ + "kind": kind, + "allow_auto": allow, + "escalate_to_user": not allow, + "safety_probability": prob, + "category": cat, + "confidence": safe_noul.confidence if safe_noul else 1.0, + "is_fallback": False, + "backend": backend_name, + }) + + elif kind == "classify_contradiction": + mem = MemoryRecord( + id="mem_target", + scope=Scope.WORKSPACE, + workspace_id="ws_1", + mtype=MemoryType.SEMANTIC, + title="Existing memory", + content=existing_content, + ) + verdict, conf = backend.classify_contradiction(state, mem, allow_remote=True) + return _ok({ + "kind": kind, + "verdict": verdict, + "confidence": conf, + "is_fallback": False, + "backend": backend_name, + }) + + elif kind == "verify_support": + supported, prob = backend.verify_grounded_support(query, state, allow_remote=True) + return _ok({ + "kind": kind, + "supported": supported, + "probability": prob, + "confidence": 1.0, + "is_fallback": False, + "backend": backend_name, + }) + + elif kind == "verify_completion": + full_state = f"GOAL: {goal}\nACTIONS: {recent_actions}\nOUTPUT: {state}" + q_comp = DecisionQuestion( + "is_complete", + "Has the task goal been verified and completely achieved?", + "noul", + ) + batch = client.evaluate(full_state, [q_comp], model=model) + if batch and not batch.is_fallback: + comp_noul = batch.get_noul("is_complete") + prob = comp_noul.probability if comp_noul else 0.5 + return _ok({ + "kind": kind, + "is_complete": prob >= 0.85, + "completion_probability": prob, + "confidence": comp_noul.confidence if comp_noul else 1.0, + "is_fallback": False, + "backend": backend_name, + }) + + elif kind == "custom": + q = DecisionQuestion( + "custom", + question or "Evaluate state", + "choice" if options else "noul", + tuple(options) if options else (), + ) + batch = client.evaluate(state, [q], model=model) + if batch and not batch.is_fallback: + if options: + c = batch.get_choice("custom") + return _ok({ + "kind": kind, + "selected": c.selected if c else "", + "confidence": c.confidence if c else 1.0, + "is_fallback": False, + "backend": backend_name, + }) + else: + n = batch.get_noul("custom") + return _ok({ + "kind": kind, + "probability": n.probability if n else 0.5, + "confidence": n.confidence if n else 1.0, + "is_fallback": False, + "backend": backend_name, + }) + + # Fallback to local heuristic + return _ok(_heuristic_decision(kind, state, query, existing_content, goal, recent_actions)) + except Exception as exc: # noqa: BLE001 + return _err(exc) + + @dataclass(frozen=True) class ActionSpec: """One classic MCP action that Smart MCP may describe and dispatch. @@ -2340,6 +2660,9 @@ def _action_terms(value: str) -> set[str]: "delete": {"erase", "retire"}, "erase": {"erase"}, "audit": {"receipt", "audit", "verify", "export"}, + "decision": {"decide"}, + "guard": {"decide"}, + "safety": {"decide"}, } _ACTION_PREFERENCES = { @@ -2360,6 +2683,10 @@ def _action_terms(value: str) -> set[str]: "search": {"recall"}, "verify": {"verify_receipts"}, "receipts": {"receipts"}, + "decide": {"decide"}, + "decision": {"decide"}, + "guard": {"decide"}, + "safety": {"decide"}, } # A small set of unambiguous multi-word intents avoids an accidental match on broad @@ -2374,6 +2701,9 @@ def _action_terms(value: str) -> set[str]: frozenset({"grounded", "answer"}): {"recall_grounded"}, frozenset({"list", "audit", "receipts"}): {"receipts"}, frozenset({"verify", "receipt"}): {"verify_receipts"}, + frozenset({"guard", "command"}): {"decide"}, + frozenset({"check", "safety"}): {"decide"}, + frozenset({"classify", "contradiction"}): {"decide"}, } _CATEGORY_ACTIONS = { @@ -2381,7 +2711,8 @@ def _action_terms(value: str) -> set[str]: "governance": {"retire", "secure_erase", "pin", "correct", "promote"}, "code": {"index_repo", "search_code", "code_path", "code_impact", "export_code_graph"}, "audit": {"receipts", "context_savings", "verify_receipts", "export_receipts"}, - "ops": {"stats", "check_update", "consolidate"}, + "ops": {"stats", "check_update", "consolidate", "decide"}, + "decision": {"decide"}, } diff --git a/scripts/init.py b/scripts/init.py index 7b3b06b6..689c78f2 100644 --- a/scripts/init.py +++ b/scripts/init.py @@ -20,6 +20,7 @@ import argparse import json +import os import secrets import shutil import sqlite3 @@ -162,6 +163,26 @@ def fail_database(exc: Exception) -> None: except Exception: report("cloud", "optional", "Engraphis Cloud", "saved session unavailable; reconnect if needed") + jev_key = os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY") + if jev_key: + report("jev_decision", "ok", "Jev System 1", "active (TypeSafe AI BYOK)") + else: + cloud_active = False + try: + from engraphis.cloud_session import configured + cloud_active = configured(require_compute=False) + except Exception: + pass + if cloud_active: + report("jev_decision", "ok", "Jev System 1", "active (Engraphis Cloud Pro/Team)") + else: + report( + "jev_decision", + "optional", + "Jev System 1", + "optional: sub-300ms decision acceleration (install: engraphis-init --jev-key )", + ) + try: from engraphis.backends.embedder_st import get_embedder emb = get_embedder(settings.embed_model or None, dim=settings.embed_dim or 384, @@ -203,7 +224,12 @@ def cmd_prefetch() -> int: return 1 -def _env_content(db_path: Path, token: str, key_path: Optional[Path] = None) -> str: +def _env_content( + db_path: Path, + token: str, + key_path: Optional[Path] = None, + jev_key: Optional[str] = None, +) -> str: lines = [ "# Engraphis - generated by engraphis-init. Full reference: .env.example", f"ENGRAPHIS_DB_PATH={db_path}", @@ -218,6 +244,13 @@ def _env_content(db_path: Path, token: str, key_path: Optional[Path] = None) -> "# SQLCipher database key file, generated with owner-only permissions:", f"ENGRAPHIS_DB_KEY_FILE={key_path}", ] + if jev_key: + lines += [ + "# TypeSafe Jev System 1 Decision Engine (BYOK):", + f"TYPESAFE_API_KEY={jev_key}", + f"JEV_API_KEY={jev_key}", + "ENGRAPHIS_DECISION_BACKEND=typesafe", + ] lines += [ "# Pro and Team are hosted. Connect through the Engraphis Cloud account portal;", "# never paste access or refresh credentials into this configuration file.", @@ -342,6 +375,18 @@ def main(argv=None) -> int: ap.add_argument("--extras", help="record installed capabilities for future updates, e.g. server,mcp or none") ap.add_argument("--prefetch", action="store_true", help="pre-cache the configured embedding model for instant MCP startup") + ap.add_argument( + "--jev-key", + dest="jev_key", + metavar="KEY", + help="configure TypeSafe Jev API key for System 1 decision acceleration (use '-' for stdin)", + ) + ap.add_argument( + "--typesafe-key", + dest="typesafe_key", + metavar="KEY", + help=argparse.SUPPRESS, + ) args = ap.parse_args(argv) if args.json and not args.check: ap.error("--json requires --check") @@ -351,6 +396,20 @@ def main(argv=None) -> int: if args.prefetch: return cmd_prefetch() + raw_jev_key = args.jev_key or args.typesafe_key + resolved_jev_key: Optional[str] = None + if raw_jev_key is not None: + if raw_jev_key == "-": + if sys.stdin is None or sys.stdin.isatty(): + _fail("Jev API key", "--jev-key - reads the key from stdin; pipe it in, e.g. `echo $KEY | engraphis-init --jev-key -`.") + return 1 + raw_jev_key = sys.stdin.readline().strip("\r\n") + cleaned_key = str(raw_jev_key).strip() + if not cleaned_key or not cleaned_key.isascii() or not cleaned_key.isprintable() or " " in cleaned_key: + _fail("Jev API key", "key must be printable ASCII without whitespace") + return 1 + resolved_jev_key = cleaned_key + db_path = Path(args.db).expanduser().resolve() try: env_file = _trusted_env_file() @@ -386,6 +445,17 @@ def main(argv=None) -> int: existing_key = _existing_env_value(existing_env, "ENGRAPHIS_DB_KEY_FILE") if existing_key: key_path = Path(existing_key).expanduser() + if resolved_jev_key: + from engraphis.config import persist_project_env + persist_project_env( + { + "TYPESAFE_API_KEY": resolved_jev_key, + "JEV_API_KEY": resolved_jev_key, + "ENGRAPHIS_DECISION_BACKEND": "typesafe", + }, + env_file, + ) + print(" jev api key -> updated in trusted config (TypeSafe System 1 active)") else: if use_encryption: try: @@ -396,7 +466,7 @@ def main(argv=None) -> int: try: _write_env( env_file, - _env_content(db_path, token, key_path), + _env_content(db_path, token, key_path, jev_key=resolved_jev_key), owner_private_parent=True, ) except OSError as exc: @@ -404,6 +474,8 @@ def main(argv=None) -> int: return 1 print(f"wrote {env_file}") print(f" database -> {db_path}") + if resolved_jev_key: + print(" jev api key -> configured in trusted config (TypeSafe System 1 active)") if db_path.parent == Path.cwd(): print(" note: this database path is pinned to the current directory; " "runtime tools will use this pinned path (ENGRAPHIS_DB_PATH " diff --git a/skills/engraphis-memory/SKILL.md b/skills/engraphis-memory/SKILL.md index 52d4290f..90fc00ea 100644 --- a/skills/engraphis-memory/SKILL.md +++ b/skills/engraphis-memory/SKILL.md @@ -117,6 +117,7 @@ returned executor; the routine session, recall-context, and remember tools remai | Privacy-safe audit | `engraphis_receipts` / `engraphis_verify_receipts` | Content-free hash chain; export with `engraphis_export_receipts`. | | Verify context savings | `engraphis_context_savings` | Aggregate all visible usage receipts by default, or one workspace, without returning prompts or memory content. | | Store health | `engraphis_stats` | Counts by type/workspace; good for onboarding checks. | +| Fast decision gating | `engraphis_decide` | Sub-300ms System 1 gating (shell command guard, contradiction check, support check, completion check). | Full signatures, parameters, defaults, and return shapes: [TOOLS.md](references/TOOLS.md). diff --git a/skills/engraphis-memory/references/TOOLS.md b/skills/engraphis-memory/references/TOOLS.md index ec6fbd41..1d00f425 100644 --- a/skills/engraphis-memory/references/TOOLS.md +++ b/skills/engraphis-memory/references/TOOLS.md @@ -1,7 +1,7 @@ # Engraphis MCP tools: reference -The Classic server registers 35 direct tools and the Smart gateway registers nine; two names -overlap, for 42 distinct public tool names. Parameters are `name (type, default)`: no default +The Classic server registers 36 direct tools and the Smart gateway registers nine; two names +overlap, for 43 distinct public tool names. Parameters are `name (type, default)`: no default means required. Every tool returns a JSON string; on failure it returns `"Error: "` instead of raising. Governance tools (`retire`/`pin`/`correct`/`link`) verify the memory actually belongs to the @@ -633,6 +633,23 @@ default GitHub source is overridable via Returns `{enabled, current, latest, update_available, url, notice}`. +### `engraphis_decide` +Fast sub-300ms System 1 decision gating for autonomous agents. Dispatches to TypeSafe Jev (BYOK), +Engraphis Cloud Pro/Team, or deterministic local heuristics. Used for command safety guarding, +fact contradiction screening, grounded support verification, turn completion checks, or custom micro-decisions. + +- `kind (str, "guard_command")`: one of `'guard_command'`, `'classify_contradiction'`, `'verify_support'`, `'verify_completion'`, or `'custom'`. +- `state (str, "")`: input shell command, candidate fact, or evidence text to evaluate. +- `query (str, "")`: query string for support verification. +- `existing_content (str, "")`: existing memory content for contradiction checks. +- `goal (str, "")`: task goal description for completion verification. +- `recent_actions (str, "")`: summary of recent actions for completion verification. +- `question (str, "")`: custom question for `'custom'` decisions. +- `options (list[str], None)`: discrete choice alternatives. +- `offline_mode (bool, false)`: when true, forces deterministic local heuristics without external API calls. + +Returns `{allowed, decision, confidence, reason, backend, latency_ms}`. + --- ## Quick decision guide diff --git a/tests/test_init.py b/tests/test_init.py index 1636bdff..965f65cb 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -364,3 +364,70 @@ def test_init_rejects_invalid_extras_before_writing_config(tmp_path, monkeypatch main(["--extras", "server;owned"]) assert exc.value.code == 2 assert not _config_env(tmp_path).exists() + + +def test_init_configures_jev_key_on_fresh_setup(tmp_path, monkeypatch, capsys): + monkeypatch.chdir(tmp_path) + assert main(["--jev-key", "test-typesafe-key-123", "--no-encryption"]) == 0 + env_content = _config_env(tmp_path).read_text() + assert "TYPESAFE_API_KEY=test-typesafe-key-123" in env_content + assert "JEV_API_KEY=test-typesafe-key-123" in env_content + assert "ENGRAPHIS_DECISION_BACKEND=typesafe" in env_content + out = capsys.readouterr().out + assert "jev api key -> configured in trusted config" in out + assert "test-typesafe-key-123" not in out + + +def test_init_updates_jev_key_on_existing_setup(tmp_path, monkeypatch, capsys): + monkeypatch.chdir(tmp_path) + env_file = _config_env(tmp_path) + _write_private(env_file, "ENGRAPHIS_DB_PATH=/keep/database.db\n") + assert main(["--jev-key", "updated-key-456"]) == 0 + updated_env = env_file.read_text() + assert "ENGRAPHIS_DB_PATH=/keep/database.db" in updated_env + assert "TYPESAFE_API_KEY=updated-key-456" in updated_env + assert "JEV_API_KEY=updated-key-456" in updated_env + assert "ENGRAPHIS_DECISION_BACKEND=typesafe" in updated_env + out = capsys.readouterr().out + assert "jev api key -> updated in trusted config" in out + assert "updated-key-456" not in out + + +def test_init_reads_jev_key_from_stdin(tmp_path, monkeypatch, capsys): + import io + monkeypatch.chdir(tmp_path) + monkeypatch.setattr(sys, "stdin", io.StringIO("stdin-key-789\n")) + assert main(["--jev-key", "-", "--no-encryption"]) == 0 + env_content = _config_env(tmp_path).read_text() + assert "TYPESAFE_API_KEY=stdin-key-789" in env_content + out = capsys.readouterr().out + assert "jev api key -> configured in trusted config" in out + assert "stdin-key-789" not in out + + +def test_init_rejects_malformed_jev_key(tmp_path, monkeypatch, capsys): + monkeypatch.chdir(tmp_path) + assert main(["--jev-key", "key with space", "--no-encryption"]) == 1 + assert not _config_env(tmp_path).exists() + out = capsys.readouterr().out + assert "key must be printable ASCII without whitespace" in out + + +def test_doctor_reports_jev_decision_status(tmp_path, monkeypatch, capsys): + monkeypatch.delenv("TYPESAFE_API_KEY", raising=False) + monkeypatch.delenv("JEV_API_KEY", raising=False) + + # Optional / not configured + assert main(["--check", "--json"]) == 0 + report_unconf = json.loads(capsys.readouterr().out) + jev_check = next(c for c in report_unconf["checks"] if c["code"] == "jev_decision") + assert jev_check["status"] == "optional" + + # Configured + monkeypatch.setenv("TYPESAFE_API_KEY", "apikey_test_123") + assert main(["--check", "--json"]) == 0 + report_conf = json.loads(capsys.readouterr().out) + jev_check_conf = next(c for c in report_conf["checks"] if c["code"] == "jev_decision") + assert jev_check_conf["status"] == "ok" + assert "active (TypeSafe AI BYOK)" in jev_check_conf["detail"] + diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index fdb2a060..28119616 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -544,7 +544,7 @@ def _recall_side_effect_snapshot(srv): "engraphis_ingest_postgres_schema", "engraphis_receipts", "engraphis_context_savings", "engraphis_verify_receipts", "engraphis_export_receipts", "engraphis_link_symbol", - "engraphis_check_update", + "engraphis_check_update", "engraphis_decide", } _SMART_TOOLS = { @@ -575,11 +575,11 @@ def test_server_identity_and_tools_registered(): classic = {t.name: t for t in asyncio.run(srv.classic_mcp.list_tools())} assert srv.classic_mcp.name == "engraphis_mcp" - assert len(_ALL_TOOLS) == 35 + assert len(_ALL_TOOLS) == 36 assert set(classic) == _ALL_TOOLS assert srv.minimum_role("engraphis_context_savings") == "viewer" kilo = (ROOT / "docs" / "KILO_CODE_INTEGRATION.md").read_text(encoding="utf-8") - full_surface = kilo.split("### Classic 35-tool inventory", 1)[1].split("\n---", 1)[0] + full_surface = kilo.split("### Classic 36-tool inventory", 1)[1].split("\n---", 1)[0] assert set(re.findall(r"`(engraphis_[a-z_]+)`", full_surface)) == _ALL_TOOLS # Flat schema (not a nested "params" object) so agents can call fields directly. props = classic["engraphis_remember"].inputSchema.get("properties", {}) @@ -1751,3 +1751,69 @@ def test_context_response_cap_omits_whole_evidence_and_updates_usage(monkeypatch assert usage["omitted_count"] == full["usage"]["packed_count"] + full["usage"]["omitted_count"] assert usage["saved_tokens"] == usage["estimated_saved_tokens"] == usage["source_tokens"] assert RegexTokenCounter()(json.dumps(bounded, ensure_ascii=False)) == usage["actual_response_tokens"] <= cap + + +def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): + from engraphis.mcp_server import ( + ACTION_SPECS, + classic_mcp, + engraphis_decide, + engraphis_discover_actions, + engraphis_execute_read, + minimum_role, + ) + + # 1. Registration + assert "engraphis_decide" in classic_mcp._tool_manager._tools + assert minimum_role("engraphis_decide") == "viewer" + + # 2. Discovery + assert "decide" in ACTION_SPECS + assert ACTION_SPECS["decide"].side_effect == "read" + raw_disc = engraphis_discover_actions(task="guard command safety") + disc = json.loads(raw_disc) + action = next((a for a in disc.get("actions", []) if a["canonical_action"] == "decide"), None) + assert action is not None + + # 3. Offline Guardrail Decisions + # Safe command + safe_out = json.loads(engraphis_decide(kind="guard_command", state="git status", offline_mode=True)) + assert safe_out["allow_auto"] is True + assert safe_out["escalate_to_user"] is False + assert safe_out["safety_probability"] >= 0.90 + assert safe_out["is_fallback"] is True + assert safe_out["backend"] == "local_heuristic" + + # Destructive command + destr_out = json.loads(engraphis_decide(kind="guard_command", state="rm -rf / --no-preserve-root", offline_mode=True)) + assert destr_out["allow_auto"] is False + assert destr_out["escalate_to_user"] is True + assert destr_out["safety_probability"] <= 0.10 + + # Contradiction screening + contra_out = json.loads(engraphis_decide( + kind="classify_contradiction", + state="We switched to PostgreSQL", + existing_content="Primary database is SQLite", + offline_mode=True, + )) + assert contra_out["verdict"] in ("contradicts_and_supersedes", "reinforces", "orthogonal") + + # Support verification + supp_out = json.loads(engraphis_decide( + kind="verify_support", + query="database SQLite", + state="Engraphis stores all local memories in SQLite", + offline_mode=True, + )) + assert supp_out["supported"] is True + + # 4. Smart MCP Execution via execute_read + exec_raw = engraphis_execute_read( + capability_id=action["capability_id"], + schema_digest=action["schema_digest"], + arguments={"kind": "guard_command", "state": "git diff", "offline_mode": True}, + ) + exec_res = json.loads(exec_raw) + assert exec_res["result"]["allow_auto"] is True + diff --git a/tests/test_release_infrastructure.py b/tests/test_release_infrastructure.py index 55b72196..1eb28c17 100644 --- a/tests/test_release_infrastructure.py +++ b/tests/test_release_infrastructure.py @@ -540,7 +540,7 @@ def test_primary_github_release_targets_repository_without_checkout(): def test_public_capability_and_support_docs_match_the_shipped_tree(): server = _text("engraphis/mcp_server.py") tools = re.findall(r'@mcp\.tool\(\s*name="(engraphis_[^"]+)"', server) - assert len(tools) == len(set(tools)) == 35 + assert len(tools) == len(set(tools)) == 36 readme = _text("README.md") architecture = _text("docs/ARCHITECTURE_V3.md") @@ -552,7 +552,7 @@ def test_public_capability_and_support_docs_match_the_shipped_tree(): assert "28-tool" not in content assert "(28 of them)" not in content assert "Smart MCP (9 tools)" in architecture - assert "Classic MCP (35 tools)" in architecture + assert "Classic MCP (36 tools)" in architecture assert "default Smart MCP surface has nine" in skill assert "Classic direct-tool guide" in skill assert "engraphis-mcp-classic" in skill diff --git a/tests/test_skill_package.py b/tests/test_skill_package.py index 0a6593c5..b6da7751 100644 --- a/tests/test_skill_package.py +++ b/tests/test_skill_package.py @@ -35,23 +35,23 @@ def test_portable_tool_reference_matches_registered_runtime_schemas() -> None: overlap = set(classic) & set(smart) headings = set(re.findall(r"^### `(engraphis_[^`]+)`", reference, flags=re.MULTILINE)) - assert len(classic) == 35 + assert len(classic) == 36 assert len(smart) == 9 assert overlap == {"engraphis_remember", "engraphis_recall_context"} - assert len(distinct) == 42 + assert len(distinct) == 43 assert headings == distinct - assert "35 direct tools" in reference + assert "36 direct tools" in reference assert "nine" in reference - assert "42 distinct public tool names" in reference + assert "43 distinct public tool names" in reference readme = (ROOT / "README.md").read_text(encoding="utf-8") architecture = (ROOT / "docs" / "ARCHITECTURE_V3.md").read_text(encoding="utf-8") kilo = (ROOT / "docs" / "KILO_CODE_INTEGRATION.md").read_text(encoding="utf-8") - assert "former 35 direct tool names" in readme - assert "Classic 35-tool compatibility" in readme - assert "35-tool Classic compatibility server" in readme - assert "Smart MCP (9 tools) / Classic MCP (35 tools)" in architecture - assert "Classic 35-tool inventory" in kilo + assert "former 36 direct tool names" in readme + assert "Classic 36-tool compatibility" in readme + assert "36-tool Classic compatibility server" in readme + assert "Smart MCP (9 tools) / Classic MCP (36 tools)" in architecture + assert "Classic 36-tool inventory" in kilo for name, tool in classic.items(): section = _section(reference, name) From a04f166d222d3de15ea08cee31a17ea33788807c Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:33:43 -0400 Subject: [PATCH 06/64] fix: enforce decision deadline while parsing response headers --- BENCHMARKS.md | 10 +- CHANGELOG.md | 4 +- README.md | 4 +- .../offline-fixtures-v84.json | 691 ++++++++++++++++++ .../offline-fixtures-v84.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 57 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 58 +- 11 files changed, 816 insertions(+), 23 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v84.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v84.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 2bc4c9cf..7265c3f1 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v83.json`](docs/benchmark-evidence/offline-fixtures-v83.json) artifact. Its +[`offline-fixtures-v84.json`](docs/benchmark-evidence/offline-fixtures-v84.json) artifact. Its SHA-256 is -`94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044`, also recorded in the +`178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`c1db97b24da9f8e15cdfc8254c65ad92ae0f78826cc4bbfcf1bc91a2b0b36089`. The artifact defines +`ef95ce0f0743678d9cfe1b46f56fb3ffea248170a22a30a76fe1738d927e6212`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v83.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v84.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v83.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v84.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index ec1f1694..b01d655e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,10 +9,10 @@ All notable changes to Engraphis are documented here. Format loosely follows redirect refusal, bounded responses, strict decision parsing, and read-only result interfaces. Managed availability and performance remain unverified. - Fixed the spacetime overlay's final paused frame being skipped by paint throttling. -- Enforced a total Cloud response-body deadline, including slow chunk framing, and +- Enforced a total Cloud response deadline, including slow headers and chunk framing, and preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v83 evidence and refreshed its +- Reran the public offline fixtures into immutable v84 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 4230de0a..99dffd11 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v83.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v83.json), +[`offline-fixtures-v84.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v84.json), SHA-256 -`94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044`. +`178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v84.json b/docs/benchmark-evidence/offline-fixtures-v84.json new file mode 100644 index 00000000..096d620d --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v84.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "ef95ce0f0743678d9cfe1b46f56fb3ffea248170a22a30a76fe1738d927e6212", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + 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b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -94a183fd2f10 +178ac003be28 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 28f4ce60..ac515de0 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044 + SHA256 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2 diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index f88cab15..99727790 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -11,6 +11,7 @@ import math import os import time +from contextlib import contextmanager from dataclasses import dataclass from typing import Dict, Optional, Protocol, Sequence, Tuple @@ -91,12 +92,12 @@ def _remaining_time(deadline: float) -> float: return remaining -def _read_response(response, deadline: float) -> bytes: - """Bound total body-read time, including a peer that continuously drips bytes.""" +@contextmanager +def _socket_deadline(sock, deadline: float): + """Interrupt a blocking HTTP parser even when every receive makes progress.""" import socket import threading - sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) timer = None if isinstance(sock, socket.socket): # Even read1() can consume several reads while parsing chunk framing. @@ -112,12 +113,56 @@ def expire(): timer.daemon = True timer.start() try: - return _read_response_chunks(response, deadline) + yield finally: if timer is not None: timer.cancel() +def _deadline_handlers(deadline: float): + import http.client + import urllib.request + from engraphis.hosted_client import PinnedHTTPSConnection, PinnedHTTPSHandler + + class DeadlineResponse(http.client.HTTPResponse): + def __init__(self, sock, *args, **kwargs): + self._deadline_socket = sock + super().__init__(sock, *args, **kwargs) + + def begin(self): + # getresponse() parses status and headers before urllib.open() + # returns. Protect that phase before a response body is available. + with _socket_deadline(self._deadline_socket, deadline): + super().begin() + _remaining_time(deadline) + + class DeadlineHTTPConnection(http.client.HTTPConnection): + response_class = DeadlineResponse + + class DeadlineHTTPSConnection(PinnedHTTPSConnection): + response_class = DeadlineResponse + + class DeadlineHTTPHandler(urllib.request.HTTPHandler): + def http_open(self, req): + return self.do_open(DeadlineHTTPConnection, req) + + class DeadlineHTTPSHandler(PinnedHTTPSHandler): + # Run before the shared opener's ordinary pinned HTTPS handler. + handler_order = 499 + + def do_open(self, http_class, req, **kwargs): + return super().do_open(DeadlineHTTPSConnection, req, **kwargs) + + return DeadlineHTTPHandler(), DeadlineHTTPSHandler() + + +def _read_response(response, deadline: float) -> bytes: + """Bound total body-read time, including a peer that continuously drips bytes.""" + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + with _socket_deadline(sock, deadline): + return _read_response_chunks(response, deadline) + + def _read_response_chunks(response, deadline: float) -> bytes: data = bytearray() while len(data) <= MAX_RESPONSE_BYTES: @@ -182,7 +227,7 @@ class EngraphisCloudDecisionClient: Construction never performs network I/O. Calling evaluate authorizes a remote request; use JevDecisionBackend for offline and per-call consent checks. - The timeout bounds socket operations and total response-body time. System + The timeout bounds socket operations and total HTTP response time. System DNS resolution itself cannot be interrupted by urllib. """ @@ -243,7 +288,7 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): "User-Agent": "engraphis-cloud-decision/1.0", } req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with build_pinned_https_opener(NoRedirect()).open( + with build_pinned_https_opener(NoRedirect(), *_deadline_handlers(deadline)).open( req, timeout=_remaining_time(deadline), ) as resp: raw = _read_response(resp, deadline) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 49767c4b..bf6bc5aa 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v83.json" -PUBLIC_OFFLINE_SHA = "94a183fd2f10758ae897a087f42c1706ba245c33f0c67a931a513452adf7e044" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v84.json" +PUBLIC_OFFLINE_SHA = "178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 363f872d..b687bc93 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v83.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v84.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 7f31f8d6..55cf439d 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -214,7 +214,7 @@ def read1(self, size=-1): assert 0 < size <= 4096 return super().read1(size) - def opener(handler): + def opener(handler, *deadline_handlers): def open_request(req, timeout): assert req.full_url == "https://api.engraphis.com/v1/jev/decide" assert req.get_header("Authorization") == "Bearer test-token" @@ -226,6 +226,7 @@ def open_request(req, timeout): return Response(b'{"is_fallback":false,"decisions":{"has_support":' b'{"type":"noul","probability":0.9,"confidence":0.95}}}') assert isinstance(handler, urllib.request.HTTPRedirectHandler) + assert len(deadline_handlers) == 2 return SimpleNamespace(open=open_request) monkeypatch.setattr("engraphis.hosted_client.build_pinned_https_opener", opener) @@ -354,3 +355,58 @@ def drip_chunk_header(): writer.close() producer.join(timeout=2) assert not producer.is_alive() + + +@pytest.mark.parametrize("header_prefix", [b"HTTP/1.1 ", b"HTTP/1.1 200 OK\r\nX-Slow: "]) +@pytest.mark.parametrize("transport", ["http", "https"]) +def test_cloud_deadline_interrupts_status_and_headers(monkeypatch, header_prefix, transport): + import http.client + import socket + import threading + import time + import urllib.request + from engraphis.backends.jev_decision import _deadline_handlers + + reader, writer = socket.socketpair() + stopped = threading.Event() + writer.sendall(header_prefix) + + def drip_header(): + try: + for _ in range(200): + if stopped.wait(0.01): + return + writer.sendall(b"x") + writer.shutdown(socket.SHUT_WR) + except OSError: + pass + + producer = threading.Thread(target=drip_header, daemon=True) + producer.start() + started = time.monotonic() + response = None + try: + http_handler, https_handler = _deadline_handlers(started + 0.1) + # Exercise the actual HTTP and pinned HTTPS response classes selected by + # the handlers, without needing network access or a TLS certificate. + selected = [] + def inspect_connection(self, connection_class, req, **kwargs): + selected.append(connection_class) + monkeypatch.setattr(urllib.request.AbstractHTTPHandler, "do_open", inspect_connection) + if transport == "http": + http_handler.http_open(None) + else: + https_handler.https_open(None) + response = selected[0].response_class(reader) + with pytest.raises((TimeoutError, OSError, http.client.HTTPException)): + response.begin() + assert time.monotonic() - started < 1.5 + assert https_handler.handler_order < 500 + finally: + stopped.set() + if response is not None: + response.close() + reader.close() + writer.close() + producer.join(timeout=2) + assert not producer.is_alive() From 75e6274b28d9d8e36ba51ec385f38bc58199a76f Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:39:21 -0400 Subject: [PATCH 07/64] fix: bound proxy CONNECT responses by decision deadline --- BENCHMARKS.md | 10 +- CHANGELOG.md | 7 +- README.md | 4 +- .../offline-fixtures-v85.json | 691 ++++++++++++++++++ .../offline-fixtures-v85.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 7 + tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 16 +- 11 files changed, 729 insertions(+), 21 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v85.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v85.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 7265c3f1..db9ca23e 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v84.json`](docs/benchmark-evidence/offline-fixtures-v84.json) artifact. Its +[`offline-fixtures-v85.json`](docs/benchmark-evidence/offline-fixtures-v85.json) artifact. Its SHA-256 is -`178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2`, also recorded in the +`35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`ef95ce0f0743678d9cfe1b46f56fb3ffea248170a22a30a76fe1738d927e6212`. The artifact defines +`05602d437cd521dc750c431970fa23850590731cf5b3e98dc4758bd0d445518c`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v84.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v85.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v84.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v85.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index b01d655e..dbc3ad93 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,10 +9,11 @@ All notable changes to Engraphis are documented here. Format loosely follows redirect refusal, bounded responses, strict decision parsing, and read-only result interfaces. Managed availability and performance remain unverified. - Fixed the spacetime overlay's final paused frame being skipped by paint throttling. -- Enforced a total Cloud response deadline, including slow headers and chunk framing, and - preserved HTTP 413 for streamed oversized read-only requests across parser versions. +- Enforced a total Cloud response deadline, including proxy handshakes, slow + headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only + requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v84 evidence and refreshed its +- Reran the public offline fixtures into immutable v85 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 99dffd11..722d24ac 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v84.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v84.json), +[`offline-fixtures-v85.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v85.json), SHA-256 -`178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2`. +`35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v85.json b/docs/benchmark-evidence/offline-fixtures-v85.json new file mode 100644 index 00000000..ea333ec2 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v85.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "05602d437cd521dc750c431970fa23850590731cf5b3e98dc4758bd0d445518c", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + 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"a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v85.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v85.json.sha256 new file mode 100644 index 00000000..305a88b9 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v85.json.sha256 @@ -0,0 +1 @@ +35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110 offline-fixtures-v85.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index f5b164d0..aebdfb13 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -178ac003be28 +35efabb4f0d3 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index ac515de0..8b2fdd27 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2 + SHA256 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110 diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 99727790..f90071c5 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -142,6 +142,13 @@ class DeadlineHTTPConnection(http.client.HTTPConnection): class DeadlineHTTPSConnection(PinnedHTTPSConnection): response_class = DeadlineResponse + def _tunnel(self): + # CONNECT parses its response directly, bypassing response.begin(). + with _socket_deadline(self.sock, deadline): + # typeshed omits this private standard-library method. + getattr(super(), "_tunnel")() + _remaining_time(deadline) + class DeadlineHTTPHandler(urllib.request.HTTPHandler): def http_open(self, req): return self.do_open(DeadlineHTTPConnection, req) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index bf6bc5aa..fd3c5dd1 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v84.json" -PUBLIC_OFFLINE_SHA = "178ac003be28ef971cd1136899cadf922e3cf07cc3d549e7e7202ee6df0c40e2" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v85.json" +PUBLIC_OFFLINE_SHA = "35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index b687bc93..d037788e 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v84.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v85.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 55cf439d..8390ea3f 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -358,7 +358,7 @@ def drip_chunk_header(): @pytest.mark.parametrize("header_prefix", [b"HTTP/1.1 ", b"HTTP/1.1 200 OK\r\nX-Slow: "]) -@pytest.mark.parametrize("transport", ["http", "https"]) +@pytest.mark.parametrize("transport", ["http", "https", "https_proxy"]) def test_cloud_deadline_interrupts_status_and_headers(monkeypatch, header_prefix, transport): import http.client import socket @@ -397,9 +397,17 @@ def inspect_connection(self, connection_class, req, **kwargs): http_handler.http_open(None) else: https_handler.https_open(None) - response = selected[0].response_class(reader) - with pytest.raises((TimeoutError, OSError, http.client.HTTPException)): - response.begin() + if transport == "https_proxy": + connection = selected[0]("proxy.example") + connection.sock = reader + connection._tunnel_host = "target.example" + connection._tunnel_port = 443 + with pytest.raises((TimeoutError, OSError, http.client.HTTPException)): + connection._tunnel() + else: + response = selected[0].response_class(reader) + with pytest.raises((TimeoutError, OSError, http.client.HTTPException)): + response.begin() assert time.monotonic() - started < 1.5 assert https_handler.handler_order < 500 finally: From be6195089a6f2bf9bbc455a17c44cd5eb4b73c5b Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:47:21 -0400 Subject: [PATCH 08/64] fix: share decision deadline across connection retries and sends --- BENCHMARKS.md | 10 +- CHANGELOG.md | 6 +- README.md | 4 +- .../offline-fixtures-v86.json | 691 ++++++++++++++++++ .../offline-fixtures-v86.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 65 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 171 +++++ 11 files changed, 944 insertions(+), 18 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v86.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v86.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index db9ca23e..51229451 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v85.json`](docs/benchmark-evidence/offline-fixtures-v85.json) artifact. Its +[`offline-fixtures-v86.json`](docs/benchmark-evidence/offline-fixtures-v86.json) artifact. Its SHA-256 is -`35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110`, also recorded in the +`7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`05602d437cd521dc750c431970fa23850590731cf5b3e98dc4758bd0d445518c`. The artifact defines +`61ed7c25e6bf213d28d7779f03ca42b98da16186b00b56e96b2f55f61852e78c`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v85.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v86.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v85.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v86.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index dbc3ad93..96bd2167 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,11 +9,11 @@ All notable changes to Engraphis are documented here. Format loosely follows redirect refusal, bounded responses, strict decision parsing, and read-only result interfaces. Managed availability and performance remain unverified. - Fixed the spacetime overlay's final paused frame being skipped by paint throttling. -- Enforced a total Cloud response deadline, including proxy handshakes, slow - headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only +- Enforced a Cloud request deadline across connection retries, TLS, request sends, + proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v85 evidence and refreshed its +- Reran the public offline fixtures into immutable v86 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 722d24ac..819ab9e7 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v85.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v85.json), +[`offline-fixtures-v86.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v86.json), SHA-256 -`35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110`. +`7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v86.json b/docs/benchmark-evidence/offline-fixtures-v86.json new file mode 100644 index 00000000..b2a96c53 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v86.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "61ed7c25e6bf213d28d7779f03ca42b98da16186b00b56e96b2f55f61852e78c", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + 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"ab4935263f9d24c4e38bd4f16164b4c4c07eff91c695809b6fc75299d4f03d62", + "eval/longmemeval_v2.py": "defb4d47f453aa4615a8f101b82df3fadf64f0f9eae0ce1021d86d3750dad437", + "eval/longmemeval_v2_evidence.py": "8486bd4dcfdd8b1f7a14c32fe4f427c980ccdcc3aa2eb018d7dfc40305412eff", + "eval/longmemeval_v2_matrix.py": "ca085cd59481813cce5dbdfbc94f40f67173ac3a1bc3dce6f6d3e09eb7b08153", + "eval/metrics.py": "16857e2cf6ed339cb57a26c9bfa1879444b4d279bd972e5a9fa644ed1308afe0", + "eval/native_coverage_scaling.py": "0d318c116241050fc0c7bdbbb5646ca67944d7c304ccd9a462834e0553ffa90a", + "eval/performance.py": "dccc55c26dc396f9fee98defd152900cf8aabeb5d6198bc711e0eb8f472ecc57", + "eval/performance_engine.py": "3d37cf0a5989c8fa6e8b6ab7ae0b2e0d5410a8b922d2f3130c1a7794d93dcbb1", + "eval/planned_recall.py": "f9a87291ecb181045b98ca65fe55db820bf7cee4ae4f4d087ca3458afdd7837e", + "eval/proactive_ranking.py": "8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab", + "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717", + "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751", + "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v86.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v86.json.sha256 new file mode 100644 index 00000000..c1eda565 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v86.json.sha256 @@ -0,0 +1 @@ +7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf offline-fixtures-v86.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index aebdfb13..8aa142fc 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -35efabb4f0d3 +7aabc0f248bd SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 8b2fdd27..df19b6ae 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110 + SHA256 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index f90071c5..d8ee6e98 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -121,9 +121,50 @@ def expire(): def _deadline_handlers(deadline: float): import http.client + import socket import urllib.request from engraphis.hosted_client import PinnedHTTPSConnection, PinnedHTTPSHandler + def connect_socket(address, timeout=None, source_address=None): + # socket.create_connection renews its timeout for each resolved address. + # Share the request budget across direct, loopback and proxy dial retries. + _remaining_time(deadline) + host, port = address + candidates = socket.getaddrinfo(host, port, 0, socket.SOCK_STREAM) + last_error = None + for family, kind, protocol, _, target in candidates: + remaining = _remaining_time(deadline) + sock = None + try: + sock = socket.socket(family, kind, protocol) + sock.settimeout(remaining) + if source_address is not None: + sock.bind(source_address) + sock.connect(target) + # TLS must receive only the budget left after the TCP dial. + sock.settimeout(_remaining_time(deadline)) + return sock + except OSError as exc: + if sock is not None: + sock.close() + last_error = exc + if last_error is not None: + raise last_error + raise OSError("decision endpoint has no connectable address") + + def send_with_deadline(connection, send, data): + if connection.sock is None: + if not connection.auto_open: + raise http.client.NotConnected() + connection.connect() + if connection.sock is None: + raise http.client.NotConnected() + connection.sock.settimeout(_remaining_time(deadline)) + # Headers and bodies are separate sends; SSL/file sends may also loop. + with _socket_deadline(connection.sock, deadline): + send(data) + _remaining_time(deadline) + class DeadlineResponse(http.client.HTTPResponse): def __init__(self, sock, *args, **kwargs): self._deadline_socket = sock @@ -139,15 +180,37 @@ def begin(self): class DeadlineHTTPConnection(http.client.HTTPConnection): response_class = DeadlineResponse + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._create_connection = connect_socket + + def send(self, data): + send_with_deadline(self, super().send, data) + class DeadlineHTTPSConnection(PinnedHTTPSConnection): response_class = DeadlineResponse + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._create_connection = connect_socket + + def _connect_deadline(self): + return deadline + + def _attempt_timeout(self, connect_deadline): + # The shared hosted client has a 500 ms floor; decisions do not. + return _remaining_time(deadline) + + def send(self, data): + send_with_deadline(self, super().send, data) + def _tunnel(self): # CONNECT parses its response directly, bypassing response.begin(). with _socket_deadline(self.sock, deadline): # typeshed omits this private standard-library method. getattr(super(), "_tunnel")() - _remaining_time(deadline) + # TLS follows CONNECT and shares its remaining budget. + self.sock.settimeout(_remaining_time(deadline)) class DeadlineHTTPHandler(urllib.request.HTTPHandler): def http_open(self, req): diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index fd3c5dd1..b76945de 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v85.json" -PUBLIC_OFFLINE_SHA = "35efabb4f0d31cd960ef039241085cf90d4a80399d60519af19883b515b14110" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v86.json" +PUBLIC_OFFLINE_SHA = "7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index d037788e..f5ff70e7 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v85.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v86.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 8390ea3f..f4e0f264 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -418,3 +418,174 @@ def inspect_connection(self, connection_class, req, **kwargs): writer.close() producer.join(timeout=2) assert not producer.is_alive() + + +def deadline_connection(monkeypatch, deadline, transport="https"): + import urllib.request + from engraphis.backends.jev_decision import _deadline_handlers + + selected = [] + monkeypatch.setattr(urllib.request.AbstractHTTPHandler, "do_open", + lambda self, connection_class, req, **kwargs: selected.append(connection_class)) + http_handler, https_handler = _deadline_handlers(deadline) + if transport == "http": + http_handler.http_open(None) + else: + https_handler.https_open(None) + return selected[0]("localhost" if transport == "http" else "cloud.example", timeout=0.05) + + +@pytest.mark.parametrize("transport", ["http", "https", "https_proxy"]) +def test_cloud_dial_retries_and_tls_share_short_budget(monkeypatch, transport): + import socket + import engraphis.backends.jev_decision as module + + clock = [10.0] + connection = deadline_connection(monkeypatch, 10.05, transport) + monkeypatch.setattr(module.time, "monotonic", lambda: clock[0]) + addresses = [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, 443)) + for host in ["93.184.216.34", "93.184.216.35"]] + monkeypatch.setattr(socket, "getaddrinfo", lambda *args: addresses) + monkeypatch.setattr("engraphis.hosted_client._validated_addresses", lambda host: ["93.184.216.34"]) + sockets = [] + + class DialSocket: + def __init__(self, *args): + self.timeouts = [] + self.closed = False + sockets.append(self) + + def settimeout(self, value): + self.timeouts.append(value) + + def setsockopt(self, *args): + pass + + def connect(self, address): + clock[0] += 0.03 if len(sockets) == 1 else 0.01 + if len(sockets) == 1: + raise OSError("first address unavailable") + + def close(self): + self.closed = True + + monkeypatch.setattr(socket, "socket", DialSocket) + if transport != "http": + assert connection._attempt_timeout(99) == pytest.approx(0.05) + assert connection._connect_deadline() == 10.05 + + if transport == "https_proxy": + connection._tunnel_host = "93.184.216.34" + connection._tunnel_port = 443 + + def tunnel(): + clock[0] += 0.005 + connection.sock.settimeout(module._remaining_time(10.05)) + + connection._tunnel = tunnel + + def tls(sock, server_hostname): + assert server_hostname == "cloud.example" + assert sock.timeouts[-1] == pytest.approx(0.005 if transport == "https_proxy" else 0.01) + clock[0] += 0.02 + return sock + + connection._context = SimpleNamespace(wrap_socket=tls) + with pytest.raises(TimeoutError): + connection.send(b"must not send after TLS consumes the budget") + else: + connection.connect() + assert len(sockets) == 2 + assert sockets[0].closed + assert sockets[0].timeouts[0] == pytest.approx(0.05) + expected = [0.02, 0.01, 0.005] if transport == "https_proxy" else [0.02, 0.01] + assert sockets[1].timeouts == pytest.approx(expected) + connection.close() + assert sockets[1].closed + + +@pytest.mark.parametrize("expire_during", ["dns", "connect"]) +def test_cloud_expired_resolution_or_dial_cannot_proceed(monkeypatch, expire_during): + import socket + import engraphis.backends.jev_decision as module + + clock = [10.0] + connection = deadline_connection(monkeypatch, 10.05) + monkeypatch.setattr(module.time, "monotonic", lambda: clock[0]) + + def resolve(*args): + if expire_during == "dns": + clock[0] += 0.1 + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", 443))] + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + sockets = [] + + class DialSocket: + def __init__(self, *args): + self.closed = False + sockets.append(self) + + def settimeout(self, value): + pass + + def connect(self, address): + clock[0] += 0.1 + + def close(self): + self.closed = True + + monkeypatch.setattr(socket, "socket", DialSocket) + with pytest.raises(TimeoutError): + connection._create_connection(("proxy.example", 443), 0.5) + assert len(sockets) == (0 if expire_during == "dns" else 1) + assert all(sock.closed for sock in sockets) + + +def test_cloud_dial_skips_unsupported_address_family(monkeypatch): + import socket + import time + + connection = deadline_connection(monkeypatch, time.monotonic() + 2) + monkeypatch.setattr(socket, "getaddrinfo", lambda *args: [ + (socket.AF_INET6, socket.SOCK_STREAM, 6, "", ("::1", 443, 0, 0)), + (socket.AF_INET, socket.SOCK_STREAM, 6, "", ("127.0.0.1", 443)), + ]) + families = [] + connected = [] + usable = SimpleNamespace(settimeout=lambda value: None, connect=connected.append) + + def create(family, kind, protocol): + families.append(family) + if family == socket.AF_INET6: + raise OSError("IPv6 disabled") + return usable + + monkeypatch.setattr(socket, "socket", create) + assert connection._create_connection(("localhost", 443)) is usable + assert families == [socket.AF_INET6, socket.AF_INET] + assert connected == [("127.0.0.1", 443)] + + +@pytest.mark.parametrize("transport", ["http", "https"]) +def test_cloud_deadline_interrupts_blocked_request_send(monkeypatch, transport): + import http.client + import itertools + import socket + import time + + started = time.monotonic() + connection = deadline_connection(monkeypatch, started + 0.1, transport) + connection.auto_open = False + with pytest.raises(http.client.NotConnected): + connection.send(b"disabled") + reader, writer = socket.socketpair() + writer.setsockopt(socket.SOL_SOCKET, socket.SO_SNDBUF, 4096) + connection.sock = writer + try: + with pytest.raises((TimeoutError, OSError)): + connection.send(itertools.repeat(b"x" * 65536)) + assert time.monotonic() - started < 1.5 + finally: + connection.close() + reader.close() From 2b16d92e7c164bf05bf77c271e4091e4b1e08703 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 02:58:28 -0400 Subject: [PATCH 09/64] fix: require an explicit non-fallback decision response --- BENCHMARKS.md | 10 +- CHANGELOG.md | 2 +- README.md | 4 +- .../offline-fixtures-v87.json | 691 ++++++++++++++++++ .../offline-fixtures-v87.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 2 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 15 +- 11 files changed, 718 insertions(+), 21 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v87.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v87.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 51229451..92141cbd 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v86.json`](docs/benchmark-evidence/offline-fixtures-v86.json) artifact. Its +[`offline-fixtures-v87.json`](docs/benchmark-evidence/offline-fixtures-v87.json) artifact. Its SHA-256 is -`7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf`, also recorded in the +`53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`61ed7c25e6bf213d28d7779f03ca42b98da16186b00b56e96b2f55f61852e78c`. The artifact defines +`b5b38a4b82c061d087161c035e5ec8938de3a10e9c57b8b417196a5214350487`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v86.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v87.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v86.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v87.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index 96bd2167..277910ff 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,7 +13,7 @@ All notable changes to Engraphis are documented here. Format loosely follows proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v86 evidence and refreshed its +- Reran the public offline fixtures into immutable v87 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 819ab9e7..748f469c 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v86.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v86.json), +[`offline-fixtures-v87.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v87.json), SHA-256 -`7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf`. +`53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v87.json b/docs/benchmark-evidence/offline-fixtures-v87.json new file mode 100644 index 00000000..e081de68 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v87.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v87.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v87.json.sha256 new file mode 100644 index 00000000..d162f0f3 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v87.json.sha256 @@ -0,0 +1 @@ +53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc offline-fixtures-v87.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 8aa142fc..5a476ab7 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -7aabc0f248bd +53009f015a94 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index df19b6ae..e7bb831b 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf + SHA256 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index d8ee6e98..4be68223 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -363,7 +363,7 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): ) as resp: raw = _read_response(resp, deadline) body = json.loads(raw.decode("utf-8")) - if not isinstance(body, dict) or body.get("is_fallback", False) is not False: + if not isinstance(body, dict) or body.get("is_fallback") is not False: return CloudDecisionBatch(is_fallback=True, choices={}, nouls={}) raw_decisions = body.get("decisions") if not isinstance(raw_decisions, dict): diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index b76945de..6de3458d 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v86.json" -PUBLIC_OFFLINE_SHA = "7aabc0f248bd8882be7fb4b77f12f44238bc99cb74398543b45fa61318161dcf" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v87.json" +PUBLIC_OFFLINE_SHA = "53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index f5ff70e7..079f5240 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v86.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v87.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index f4e0f264..36d24ab9 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -148,7 +148,7 @@ def test_cloud_decision_client_configuration(monkeypatch): assert client_configured.allow_fallback is False # Mock evaluate response - mock_payload = b'{"decisions": {"q1": {"type": "choice", "selected": "reinforces", "confidence": 0.95}}}' + mock_payload = b'{"is_fallback":false,"decisions":{"q1":{"type":"choice","selected":"reinforces","confidence":0.95}}}' mock_resp = io.BytesIO(mock_payload) mock_resp.status = 200 @@ -179,7 +179,7 @@ def cloud_backend(monkeypatch, payload): ]) def test_cloud_malformed_numeric_fields_never_certify(monkeypatch, field, value): decision = {"type": "noul", "probability": 0.9, "confidence": 0.9, field: value} - adapter = cloud_backend(monkeypatch, {"decisions": {"has_support": decision}}) + adapter = cloud_backend(monkeypatch, {"is_fallback": False, "decisions": {"has_support": decision}}) assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) @@ -191,13 +191,18 @@ def test_cloud_malformed_numeric_fields_never_certify(monkeypatch, field, value) b"not json", pytest.param(b"x" * (MAX_RESPONSE_BYTES + 1), id="oversized"), ]) def test_cloud_invalid_or_oversized_responses_defer(monkeypatch, payload): + if isinstance(payload, dict): + payload = {"is_fallback": False, **payload} adapter = cloud_backend(monkeypatch, payload) assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) -@pytest.mark.parametrize("fallback", [True, "false", None, 0]) -def test_cloud_fallbacks_and_malformed_flags_defer(monkeypatch, fallback): - adapter = cloud_backend(monkeypatch, {"is_fallback": fallback, "decisions": { +@pytest.mark.parametrize("flag_fields", [ + pytest.param({}, id="missing"), {"is_fallback": True}, {"is_fallback": "false"}, + {"is_fallback": None}, {"is_fallback": 0}, +]) +def test_cloud_fallbacks_and_malformed_flags_defer(monkeypatch, flag_fields): + adapter = cloud_backend(monkeypatch, {**flag_fields, "decisions": { "has_support": {"type": "noul", "probability": 0.9, "confidence": 0.9}, "verdict": {"type": "choice", "selected": "reinforces", "confidence": 0.9}, }}) From 1c3e88f51e589dabdd5def40be501743ea895dda Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 03:10:06 -0400 Subject: [PATCH 10/64] fix: keep loopback decision credentials away from proxies --- BENCHMARKS.md | 10 +- CHANGELOG.md | 5 +- README.md | 4 +- .../offline-fixtures-v88.json | 691 ++++++++++++++++++ .../offline-fixtures-v88.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 25 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_backend.py | 121 ++- 11 files changed, 845 insertions(+), 26 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v88.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v88.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 92141cbd..6c60ae4e 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v87.json`](docs/benchmark-evidence/offline-fixtures-v87.json) artifact. Its +[`offline-fixtures-v88.json`](docs/benchmark-evidence/offline-fixtures-v88.json) artifact. Its SHA-256 is -`53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc`, also recorded in the +`18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`b5b38a4b82c061d087161c035e5ec8938de3a10e9c57b8b417196a5214350487`. The artifact defines +`f727d7ee767b9798cefac33bf7d82423e02aeaa52b1b7964341ee1222d3dff81`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v87.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v88.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v87.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v88.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index 277910ff..fca6585f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,13 +7,14 @@ All notable changes to Engraphis are documented here. Format loosely follows - Hardened the experimental Cloud decision client with validated destinations, redirect refusal, bounded responses, strict decision parsing, and read-only - result interfaces. Managed availability and performance remain unverified. + result interfaces. Loopback endpoints bypass proxies and reject external DNS + destinations. Managed availability and performance remain unverified. - Fixed the spacetime overlay's final paused frame being skipped by paint throttling. - Enforced a Cloud request deadline across connection retries, TLS, request sends, proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. -- Reran the public offline fixtures into immutable v87 evidence and refreshed its +- Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. ## [1.7.8] - 2026-09-27 diff --git a/README.md b/README.md index 748f469c..c0be69e6 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v87.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v87.json), +[`offline-fixtures-v88.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v88.json), SHA-256 -`53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc`. +`18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v88.json b/docs/benchmark-evidence/offline-fixtures-v88.json new file mode 100644 index 00000000..b8f0aaa0 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v88.json @@ -0,0 +1,691 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v88.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v88.json.sha256 new file mode 100644 index 00000000..f7f2b672 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v88.json.sha256 @@ -0,0 +1 @@ +18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199 offline-fixtures-v88.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 5a476ab7..76e27d46 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -53009f015a94 +18af203925d9 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index e7bb831b..44728f39 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc + SHA256 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199 diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 4be68223..10f87f28 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -119,13 +119,15 @@ def expire(): timer.cancel() -def _deadline_handlers(deadline: float): +def _deadline_handlers(deadline: float, *, loopback_only: bool = False): import http.client + import ipaddress import socket import urllib.request + from functools import partial from engraphis.hosted_client import PinnedHTTPSConnection, PinnedHTTPSHandler - def connect_socket(address, timeout=None, source_address=None): + def connect_socket(address, timeout=None, source_address=None, *, loopback_only=False): # socket.create_connection renews its timeout for each resolved address. # Share the request budget across direct, loopback and proxy dial retries. _remaining_time(deadline) @@ -134,6 +136,8 @@ def connect_socket(address, timeout=None, source_address=None): last_error = None for family, kind, protocol, _, target in candidates: remaining = _remaining_time(deadline) + if loopback_only and not ipaddress.ip_address(target[0]).is_loopback: + raise ValueError("loopback decisions must connect to loopback") sock = None try: sock = socket.socket(family, kind, protocol) @@ -182,7 +186,7 @@ class DeadlineHTTPConnection(http.client.HTTPConnection): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) - self._create_connection = connect_socket + self._create_connection = partial(connect_socket, loopback_only=True) def send(self, data): send_with_deadline(self, super().send, data) @@ -192,7 +196,7 @@ class DeadlineHTTPSConnection(PinnedHTTPSConnection): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) - self._create_connection = connect_socket + self._create_connection = partial(connect_socket, loopback_only=loopback_only) def _connect_deadline(self): return deadline @@ -331,7 +335,10 @@ def evaluate( ) -> DecisionBatch: import json import urllib.request - from engraphis.hosted_client import build_pinned_https_opener, validate_cloud_base_url + from urllib.parse import urlsplit + from engraphis.hosted_client import ( + _is_loopback_host, build_pinned_https_opener, validate_cloud_base_url, + ) if not self.is_configured: raise ValueError("decision client is not configured") @@ -358,7 +365,13 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): "User-Agent": "engraphis-cloud-decision/1.0", } req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with build_pinned_https_opener(NoRedirect(), *_deadline_handlers(deadline)).open( + loopback_only = _is_loopback_host(urlsplit(url).hostname or "") + handlers = [NoRedirect(), *_deadline_handlers(deadline, loopback_only=loopback_only)] + if loopback_only: + # A local HTTP endpoint must never send its bearer through an + # ambient proxy, even when NO_PROXY is missing or misconfigured. + handlers.append(urllib.request.ProxyHandler({})) + with build_pinned_https_opener(*handlers).open( req, timeout=_remaining_time(deadline), ) as resp: raw = _read_response(resp, deadline) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 6de3458d..3765afb9 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v87.json" -PUBLIC_OFFLINE_SHA = "53009f015a94feeb1395886a55e7722d308e3f9c37c322b37d07e047850471fc" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v88.json" +PUBLIC_OFFLINE_SHA = "18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 079f5240..b4e6ae6e 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v87.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v88.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 36d24ab9..d5036a3d 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -252,6 +252,119 @@ def unexpected(*args, **kwargs): assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) +@pytest.mark.parametrize("url", [ + "http://localhost:9000", "http://127.0.0.1:9000", "http://[::1]:9000", + "https://localhost:9000", "https://127.0.0.1:9000", "https://[::1]:9000", + "https://api.engraphis.com", +]) +def test_cloud_loopback_bypasses_ambient_proxies(monkeypatch, url): + import urllib.request + from urllib.parse import urlsplit + from urllib.response import addinfourl + + monkeypatch.setattr(urllib.request, "getproxies", lambda: { + "http": "http://recording-proxy.example:8080", + "https": "http://recording-proxy.example:8080", + }) + monkeypatch.setattr(urllib.request, "proxy_bypass", lambda host: False) + routes = [] + + def capture_route(self, connection_class, req, **kwargs): + routes.append((req.host, req._tunnel_host, req.get_header("Authorization"))) + response = addinfourl(io.BytesIO(b'{"is_fallback":false,"decisions":{"has_support":' + b'{"type":"noul","probability":0.9,"confidence":0.95}}}'), + {}, req.full_url, 200) + response.msg = "OK" + return response + + monkeypatch.setattr(urllib.request.AbstractHTTPHandler, "do_open", capture_route) + client = create_cloud_decision_client(control_url=url, token="local-test-token") + assert backend(client).verify_grounded_support("database?", "Postgres", allow_remote=True) == (True, 0.9) + expected = ("recording-proxy.example:8080", "api.engraphis.com") if url.endswith("engraphis.com") else ( + urlsplit(url).netloc, None, + ) + assert routes == [(*expected, "Bearer local-test-token")] + + +def test_cloud_loopback_token_never_reaches_recording_proxy(monkeypatch): + import socket + import threading + import urllib.request + from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer + + requests = [] + + def handler_for(destination): + class Handler(BaseHTTPRequestHandler): + def do_POST(self): + self.rfile.read(int(self.headers["Content-Length"])) + requests.append((destination, self.headers.get("Authorization"))) + payload = b'{"is_fallback":false,"decisions":{"has_support":' + payload += b'{"type":"noul","probability":0.9,"confidence":0.95}}}' + self.send_response(200) + self.send_header("Content-Length", str(len(payload))) + self.end_headers() + self.wfile.write(payload) + + def log_message(self, *args): + pass + + return Handler + + endpoint = ThreadingHTTPServer(("127.0.0.1", 0), handler_for("endpoint")) + proxy = ThreadingHTTPServer(("127.0.0.1", 0), handler_for("proxy")) + threads = [threading.Thread(target=server.serve_forever, kwargs={"poll_interval": 0.01}, daemon=True) + for server in (endpoint, proxy)] + for thread in threads: + thread.start() + monkeypatch.setattr(urllib.request, "getproxies", lambda: {"http": f"http://127.0.0.1:{proxy.server_port}"}) + monkeypatch.setattr(urllib.request, "proxy_bypass", lambda host: False) + + def resolve(host, port, *args): + assert host == "127.0.0.1" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, port))] + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + try: + client = create_cloud_decision_client(control_url=f"http://127.0.0.1:{endpoint.server_port}", token="synthetic-test-token") + assert backend(client).verify_grounded_support("database?", "Postgres", allow_remote=True) == (True, 0.9) + assert requests == [("endpoint", "Bearer synthetic-test-token")] + finally: + for server in (endpoint, proxy): + server.shutdown() + server.server_close() + for thread in threads: + thread.join(timeout=2) + assert all(not thread.is_alive() for thread in threads) + + +@pytest.mark.parametrize("transport", ["http", "https"]) +@pytest.mark.parametrize("hosts", [["93.184.216.34"], ["127.0.0.1", "93.184.216.34"]]) +def test_cloud_loopback_resolution_cannot_dial_external_addresses(monkeypatch, transport, hosts): + import socket + import time + + connection = deadline_connection(monkeypatch, time.monotonic() + 2, transport, loopback_only=True) + monkeypatch.setattr(socket, "getaddrinfo", lambda *args: [ + (socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, 9000)) for host in hosts + ]) + dials = [] + closed = [] + + def connect(target): + dials.append(target) + raise OSError("loopback endpoint unavailable") + + monkeypatch.setattr(socket, "socket", lambda *args: SimpleNamespace( + settimeout=lambda value: None, connect=connect, close=lambda: closed.append(True), + )) + with pytest.raises(ValueError, match="must connect to loopback"): + connection._create_connection(("localhost", 9000)) + expected = [("127.0.0.1", 9000)] if len(hosts) == 2 else [] + assert dials == expected + assert len(closed) == len(expected) + + def test_cloud_disabled_calls_do_not_resolve_or_send(monkeypatch): def unexpected(*args, **kwargs): pytest.fail("disabled cloud client performed network work") @@ -425,14 +538,14 @@ def inspect_connection(self, connection_class, req, **kwargs): assert not producer.is_alive() -def deadline_connection(monkeypatch, deadline, transport="https"): +def deadline_connection(monkeypatch, deadline, transport="https", *, loopback_only=False): import urllib.request from engraphis.backends.jev_decision import _deadline_handlers selected = [] monkeypatch.setattr(urllib.request.AbstractHTTPHandler, "do_open", lambda self, connection_class, req, **kwargs: selected.append(connection_class)) - http_handler, https_handler = _deadline_handlers(deadline) + http_handler, https_handler = _deadline_handlers(deadline, loopback_only=loopback_only) if transport == "http": http_handler.http_open(None) else: @@ -448,8 +561,8 @@ def test_cloud_dial_retries_and_tls_share_short_budget(monkeypatch, transport): clock = [10.0] connection = deadline_connection(monkeypatch, 10.05, transport) monkeypatch.setattr(module.time, "monotonic", lambda: clock[0]) - addresses = [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, 443)) - for host in ["93.184.216.34", "93.184.216.35"]] + hosts = ["127.0.0.1", "127.0.0.2"] if transport == "http" else ["93.184.216.34", "93.184.216.35"] + addresses = [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, 443)) for host in hosts] monkeypatch.setattr(socket, "getaddrinfo", lambda *args: addresses) monkeypatch.setattr("engraphis.hosted_client._validated_addresses", lambda host: ["93.184.216.34"]) sockets = [] From 3ccbb5888905b31e33cfb88b5787342f638f6b26 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 03:13:46 -0400 Subject: [PATCH 11/64] test: compare exact hostname in proxy routing expectations --- tests/test_jev_backend.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index d5036a3d..1d932f74 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -280,7 +280,7 @@ def capture_route(self, connection_class, req, **kwargs): monkeypatch.setattr(urllib.request.AbstractHTTPHandler, "do_open", capture_route) client = create_cloud_decision_client(control_url=url, token="local-test-token") assert backend(client).verify_grounded_support("database?", "Postgres", allow_remote=True) == (True, 0.9) - expected = ("recording-proxy.example:8080", "api.engraphis.com") if url.endswith("engraphis.com") else ( + expected = ("recording-proxy.example:8080", "api.engraphis.com") if urlsplit(url).hostname == "api.engraphis.com" else ( urlsplit(url).netloc, None, ) assert routes == [(*expected, "Bearer local-test-token")] From 9cb95f67d661956ab042519b83086b1e5680b0a8 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 03:22:49 -0400 Subject: [PATCH 12/64] fix: serialize GitHub release publication and retained repairs --- .github/workflows/release.yml | 10 ++++++++++ CHANGELOG.md | 3 ++- tests/test_release_qualification.py | 16 ++++++++++++++++ 3 files changed, 28 insertions(+), 1 deletion(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 1162b856..de2d3af5 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -892,6 +892,11 @@ jobs: github-release: name: Publish GitHub Release + # Share one publication lock with repairs, including runs on other refs. + concurrency: + group: engraphis-github-release-publication + cancel-in-progress: false + queue: max needs: publish environment: release-qualification if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') @@ -953,6 +958,11 @@ jobs: github-release-repair: name: Repair GitHub Release + # Hold the lock from the Latest lookup through all GitHub release writes. + concurrency: + group: engraphis-github-release-publication + cancel-in-progress: false + queue: max environment: release-qualification if: >- github.event_name == 'workflow_dispatch' && diff --git a/CHANGELOG.md b/CHANGELOG.md index fca6585f..7409e72c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,7 +13,8 @@ All notable changes to Engraphis are documented here. Format loosely follows - Enforced a Cloud request deadline across connection retries, TLS, request sends, proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. -- Prevented retained-release waiver repairs from replacing a newer GitHub Latest release. +- Prevented retained-release waiver repairs from replacing a newer GitHub Latest + release, with a shared publication queue to serialize GitHub release writes. - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index dace7c5b..7224fab1 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -334,6 +334,22 @@ def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, assert result.stdout.strip() == expected +def test_github_release_writers_share_publication_queue(): + yaml = pytest.importorskip("yaml") + root = Path(__file__).resolve().parents[1] + workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) + writers = {name: job for name, job in workflow["jobs"].items() + if any(command in step.get("run", "") + for step in job.get("steps", []) + for command in ("gh release create", "gh release edit"))} + assert set(writers) == {"github-release", "github-release-repair"} + for job in writers.values(): + assert job["concurrency"] == { + "group": "engraphis-github-release-publication", "cancel-in-progress": False, + "queue": "max", + } + + @pytest.mark.skipif(os.name == "nt", reason="release workflow executes in Linux bash") @pytest.mark.parametrize("latest,lookup_fails,expected", [ ("v1.7.4", False, True), ("v1.7.8", False, True), From b0a51de497a4ea714d2e4f03ff4db0796512a7c8 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 03:25:54 -0400 Subject: [PATCH 13/64] feat(workspaces): route project memory and preview selective moves --- .claude-plugin/skill-assets.sha256 | 6 +- BENCHMARKS.md | 10 +- CHANGELOG.md | 9 + README.md | 25 +- docs/ARCHITECTURE_V3.md | 2 +- docs/KILO_CODE_INTEGRATION.md | 15 +- docs/MCP_CONTRACT.json | 160 +++- docs/MCP_TOOLS.md | 28 +- docs/WORKSPACE_ORGANIZATION.md | 179 +++++ ...e-fixtures-workspace-routing-20260928.json | 692 ++++++++++++++++++ ...res-workspace-routing-20260928.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/core/relocation.py | 505 +++++++++++++ engraphis/dashboard_assets/index.html | 47 +- engraphis/dashboard_assets/ledger.css | 12 + engraphis/dashboard_assets/ledger.js | 247 ++++++- .../dashboard_assets/workflow-context.js | 120 ++- engraphis/mcp_server.py | 100 ++- engraphis/routes/v2_api.py | 96 ++- engraphis/service.py | 293 +++++++- .../commandcode/session_start_hook.py | 89 ++- integrations/pi/README.md | 3 + integrations/pi/src/generated-contract.ts | 36 +- integrations/pi/src/tool-schemas.ts | 8 +- integrations/pi/test/config.test.ts | 11 +- integrations/prime_agent/README.md | 5 + .../src/engraphis_prime_agent/_contract.py | 26 +- .../src/engraphis_prime_agent/agent.py | 28 +- .../src/engraphis_prime_agent/tools.py | 7 +- .../tests/test_register_and_repo.py | 48 ++ integrations/prime_agent/tests/test_tools.py | 12 + skills/engraphis-memory/SKILL.md | 12 +- skills/engraphis-memory/references/SCOPING.md | 34 +- skills/engraphis-memory/references/TOOLS.md | 61 +- tests/e2e/workspace-routing.spec.js | 265 +++++++ tests/test_benchmark_evidence.py | 4 +- ...test_cron_write_tools_workspace_default.py | 8 +- tests/test_documentation_contracts.py | 2 +- tests/test_graph_engine_asset.py | 2 +- tests/test_mcp_server.py | 6 +- tests/test_memory_move.py | 394 ++++++++++ tests/test_release_infrastructure.py | 4 +- tests/test_session_start_hook.py | 108 ++- tests/test_skill_package.py | 16 +- tests/test_smart_mcp_gateway.py | 6 +- tests/test_start_session_workspace_default.py | 12 +- tests/test_workspace_routing.py | 414 +++++++++++ 48 files changed, 3960 insertions(+), 216 deletions(-) create mode 100644 docs/WORKSPACE_ORGANIZATION.md create mode 100644 docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json create mode 100644 docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json.sha256 create mode 100644 engraphis/core/relocation.py create mode 100644 tests/e2e/workspace-routing.spec.js create mode 100644 tests/test_memory_move.py create mode 100644 tests/test_workspace_routing.py diff --git a/.claude-plugin/skill-assets.sha256 b/.claude-plugin/skill-assets.sha256 index d713b2a5..1a22cfd2 100644 --- a/.claude-plugin/skill-assets.sha256 +++ b/.claude-plugin/skill-assets.sha256 @@ -1,6 +1,6 @@ df65a383a1ff80572fb6ebd9a807dca6d1ffc0f99f373971262de035b8e3622d .claude-plugin/marketplace.json a03b5c38d836651d2c5c52173d21a5adeacfbbc4b80aac991c2154b6e060e174 .claude-plugin/plugin.json -4bc8979b9ffeb97190960e551dbf4ddc6f7aeeb7b86894fd2298a59ff0001efa skills/engraphis-memory/SKILL.md +816a798114813dece58d5daa19ad403b692ac5bbd2f736db1709b5c69d831b83 skills/engraphis-memory/SKILL.md 055655db84af07561d002f0c69744313d8413c39f3e873f941f0fa0b1e76dc66 skills/engraphis-memory/references/CONVENTIONS.md -62019760766ff472a76a0f81437898f39e3c1fe2631732b7b7733e50c1ad837f skills/engraphis-memory/references/SCOPING.md -9e5f1c8e91ca5697e828ab9e468504b8e1aa28e34f61307c9fcd850969126be9 skills/engraphis-memory/references/TOOLS.md +487291a9cd0f1e8407b4b0c211e2db74bb938bca813f1e5ab5bbdf2434836ea6 skills/engraphis-memory/references/SCOPING.md +3f6e506715bf08e4d79955f8d64aea55b131b4a1842f6020e2886dda1197b185 skills/engraphis-memory/references/TOOLS.md diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 43eb1b95..bfa09177 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v80.json`](docs/benchmark-evidence/offline-fixtures-v80.json) artifact. Its +[`offline-fixtures-workspace-routing-20260928.json`](docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json) artifact. Its SHA-256 is -`ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2`, also recorded in the +`8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`431b525443f5b4875646e7f6470d107f584120bdd6ee7f53d0b6484d003fa0f7`. The artifact defines +`83f9e30fee80e7343b704acddb3ab2af430b86b649e8f5977405208d7f7adda5`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v80.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v80.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index a2e69ec6..9a911eef 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,15 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Added saved project-to-workspace routing and connection instructions so agents can use the + user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized + session or repo mapping, report the resolved destination, and reject session mismatches. +- Command Code's SessionStart hook now uses the nearest Git root's repo name, honors saved + workspace mappings unless explicitly overridden, and labels recalled context with the + server's resolved workspace. +- Added a previewed selective move workflow for organizing mixed workspaces while retaining + source history and enforcing move eligibility and workspace access. + ## [1.7.8] - 2026-09-27 - Improved graph rendering and overlay scheduling, preserved saved Compact and custom diff --git a/README.md b/README.md index 9d99cc12..e9b34bad 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v80.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v80.json), +[`offline-fixtures-workspace-routing-20260928.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json), SHA-256 -`ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2`. +`8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, @@ -415,9 +415,19 @@ the indicated read or action executor; no profile selection is required. The gat the discovered capability again before it runs it, and clients remain responsible for their normal destructive-action approval boundary. -Existing clients that pin the historical 35 named tools can use +Existing clients that use named tools can use `engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). + +### Choose where agent memories belong + +Use the dashboard's agent connection setup to choose a workspace, save a repo-to-workspace +mapping, and copy project-specific agent instructions. Routine MCP calls with an omitted +workspace can inherit the supplied session or saved repo mapping. Explicit workspace values, +including `"default"`, take precedence; update older instructions or hooks that hardcode them. +Memory types describe the kind of memory, not its destination. See +[workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) +for setup, routing precedence, and previewing moves of existing memories. ### Pi extension @@ -429,6 +439,9 @@ For installation, configuration, lifecycle commands, and the local trust boundar `integrations/commandcode/` ships a SessionStart hook that warms up a new session with bounded, recalled context from the local Engraphis gateway. Fails open on timeout and is installed via `python scripts/install_cc_hook.py`. +The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace +mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` +override must be cleared to use the mapping. Its context header shows the resolved workspace. ### prime-agent fleet @@ -651,7 +664,7 @@ when you are ready to evaluate the service boundary and billing options. | | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | |---|---|---|---| | Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | -| Memory engine + Smart MCP (Classic 35-tool compatibility) | ✓ | ✓ | ✓ | +| Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | | Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | | Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | | Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | @@ -669,7 +682,7 @@ when you are ready to evaluate the service boundary and billing options. ## MCP tools -Engraphis exposes a zero-configuration Smart MCP gateway plus a 35-tool Classic compatibility +Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for the full inventory and parameters. @@ -859,7 +872,7 @@ engraphis/ │ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption │ ├── factory.py # outer v2 composition root; selects and injects concrete backends │ ├── service.py # validated MemoryService facade -│ ├── mcp_server.py # Smart MCP gateway + 35-tool Classic compatibility server +│ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server │ ├── dashboard_app.py # dashboard WebUI (FastAPI) │ ├── dashboard_assets/ # primary Ledger interface + graph engine │ ├── classic_assets/ # selectable full operator dashboard backup diff --git a/docs/ARCHITECTURE_V3.md b/docs/ARCHITECTURE_V3.md index 1d5d5bf3..5d05c24d 100644 --- a/docs/ARCHITECTURE_V3.md +++ b/docs/ARCHITECTURE_V3.md @@ -8,7 +8,7 @@ current schema version is 16). flowchart LR Agent["Agent / host LLM"] --> Intent["remember · link · recall_context (compact) · recall"] CLI["engraphis-graph CLI"] --> Service["MemoryService"] - MCP["Smart MCP (9 tools) / Classic MCP (35 tools)"] --> Service + MCP["Smart MCP (9 tools) / Classic MCP (38 tools)"] --> Service HTTP["Dashboard + read-only graph HTTP"] --> Service Import["Local resources / PostgreSQL catalog"] --> Extractors["Optional local extractors"] Extractors --> Service diff --git a/docs/KILO_CODE_INTEGRATION.md b/docs/KILO_CODE_INTEGRATION.md index dd1dfb45..85190f3c 100644 --- a/docs/KILO_CODE_INTEGRATION.md +++ b/docs/KILO_CODE_INTEGRATION.md @@ -223,10 +223,10 @@ class, and the appropriate executor revalidates all of it before running. | `engraphis_conflict_review` | List pending/quarantined/conflicted records for review (read-only inbox). | `engraphis-mcp-classic` is only for an existing configuration that pins direct tool names. It -preserves the former 35-tool surface below; new Kilo Code installations should keep the zero-config +preserves the named-tool compatibility surface below; new Kilo Code installations should keep the zero-config Smart command shown above. -### Classic 35-tool inventory +### Classic 38-tool inventory | Category | Tool | What it does | |---|---|---| @@ -262,6 +262,9 @@ Smart command shown above. | Governance | `engraphis_promote` | Widen scope while preserving and linking the narrow-scope history. | | **Session** | `engraphis_start_session` | Exact retries reuse by default; `force_new=true` creates another session every call. | | Session | `engraphis_end_session` | Close with a summary + `open_threads`; an identical retry is a no-op. | +| **Workspace** | `engraphis_list_workspaces` | List destinations visible to the current caller. | +| Workspace | `engraphis_get_workspace_routing` | Read the saved workspace for an exact repo name. | +| Workspace | `engraphis_set_workspace_routing` | Save or remove the current caller's repo-to-workspace mapping. | | **Ops** | `engraphis_stats` | Memory counts by type/workspace: health/onboarding checks. | | Ops | `engraphis_check_update` | Check the release source and refresh the persistent update cache. | | Maintenance | `engraphis_consolidate` | Pure dry-run or live sweep; structured calls may process a large cluster across retries. | @@ -301,7 +304,8 @@ are unnecessary; both recall surfaces accept `diagnostics=true` for a retrieval `workspace → repo → session → memory`. On every write, choose: -- **workspace**: the org or product (e.g. `acme`). Always required. +- **workspace**: the org or product (e.g. `acme`). Every write belongs to one; routine MCP calls + can resolve an omitted workspace from the supplied session or a saved repo mapping. - **repo**: the repository (e.g. `backend`). Omit only for genuinely workspace-wide facts. - **session**: one unit of work; pass its `session_id` so memories group and resume. @@ -313,6 +317,11 @@ nothing survives the task. **Recommended convention for Kilo Code:** set the `workspace` to your org/product name and the `repo` to the folder/repo name Kilo Code is currently working in. Keep those two stable and the whole hierarchy works itself out. A tidy way to enforce this is a project-level `.kilo/kilo.jsonc` per repo with a rules/instruction note telling the agent which workspace + repo string to use. +Alternatively, save a project mapping in **Connections** and have the agent supply its stable +`repo` while omitting `workspace`. An explicit `workspace="default"` overrides that mapping, +so remove conflicting hardcoded instructions. Keep the returned `session_id` on later recall +and remember calls. See [workspace organization](WORKSPACE_ORGANIZATION.md) for the full setup. + ### 5.3 What to remember and what not to **Store:** conventions ("we use pnpm"), decisions **with rationale** ("switched to PASETO because JWT `none`-alg risk"), bug cause→fix, intentionally shared team/repo preferences, reusable procedures, durable environment facts. Personal preferences have no owner-isolated scope yet. diff --git a/docs/MCP_CONTRACT.json b/docs/MCP_CONTRACT.json index a93bc0f7..b8634e38 100644 --- a/docs/MCP_CONTRACT.json +++ b/docs/MCP_CONTRACT.json @@ -1,6 +1,6 @@ { "schema": "engraphis-mcp-contract/v1", - "sha256": "3199e565fee3f7bde60979ceb11ad436b7f905870e2d4c6f68dd5c53e9ec8ba8", + "sha256": "9baaed42f67b5718d36f6156c1f915531c5973c12a1b7e2f34c7a9a33086238f", "surfaces": { "classic": [ { @@ -907,6 +907,33 @@ }, "name": "engraphis_forget" }, + { + "annotations": { + "destructiveHint": false, + "idempotentHint": true, + "openWorldHint": false, + "readOnlyHint": true, + "title": "Read a project's workspace choice" + }, + "description": "Read your saved project workspace routing without changing memories or sessions.", + "inputSchema": { + "properties": { + "repo": { + "description": "Exact repository name.", + "maxLength": 200, + "minLength": 1, + "title": "Repo", + "type": "string" + } + }, + "required": [ + "repo" + ], + "title": "engraphis_get_workspace_routingArguments", + "type": "object" + }, + "name": "engraphis_get_workspace_routing" + }, { "annotations": { "destructiveHint": false, @@ -1269,6 +1296,22 @@ }, "name": "engraphis_link_symbol" }, + { + "annotations": { + "destructiveHint": false, + "idempotentHint": true, + "openWorldHint": false, + "readOnlyHint": true, + "title": "List available memory workspaces" + }, + "description": "List authorized workspaces and repositories to choose a memory destination.", + "inputSchema": { + "properties": {}, + "title": "engraphis_list_workspacesArguments", + "type": "object" + }, + "name": "engraphis_list_workspaces" + }, { "annotations": { "destructiveHint": false, @@ -2506,12 +2549,19 @@ "title": "Valid From" }, "workspace": { - "default": "default", - "description": "Top-level scope, e.g. an org or product name ('acme'). Defaults to 'default' if omitted.", - "maxLength": 200, - "minLength": 1, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Workspace name. Omit to inherit the supplied session or saved project choice, then 'default'.", + "title": "Workspace" } }, "required": [ @@ -2827,6 +2877,47 @@ }, "name": "engraphis_secure_erase" }, + { + "annotations": { + "destructiveHint": false, + "idempotentHint": true, + "openWorldHint": false, + "readOnlyHint": false, + "title": "Save a project's workspace choice" + }, + "description": "Save your project workspace routing for future omitted-workspace calls across clients.", + "inputSchema": { + "properties": { + "enabled": { + "default": true, + "description": "Save this choice, or remove it when false.", + "title": "Enabled", + "type": "boolean" + }, + "repo": { + "description": "Exact repository name.", + "maxLength": 200, + "minLength": 1, + "title": "Repo", + "type": "string" + }, + "workspace": { + "description": "Existing workspace to select.", + "maxLength": 200, + "minLength": 1, + "title": "Workspace", + "type": "string" + } + }, + "required": [ + "workspace", + "repo" + ], + "title": "engraphis_set_workspace_routingArguments", + "type": "object" + }, + "name": "engraphis_set_workspace_routing" + }, { "annotations": { "destructiveHint": false, @@ -2873,12 +2964,19 @@ "title": "Repo" }, "workspace": { - "default": "default", - "description": "Workspace the session belongs to. Defaults to 'default' if omitted (cron jobs often omit it).", - "maxLength": 200, - "minLength": 1, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Workspace the session belongs to. Omit to use the saved project choice, then 'default'.", + "title": "Workspace" } }, "title": "engraphis_start_sessionArguments", @@ -3524,11 +3622,19 @@ "type": "string" }, "workspace": { - "default": "default", - "description": "Memory workspace.", - "maxLength": 200, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Chosen workspace; omit for session or project routing.", + "title": "Workspace" } }, "required": [ @@ -3636,11 +3742,19 @@ "type": "integer" }, "workspace": { - "default": "default", - "description": "Workspace.", - "maxLength": 200, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Chosen workspace; omit for saved project routing.", + "title": "Workspace" } }, "title": "engraphis_sessionArguments", diff --git a/docs/MCP_TOOLS.md b/docs/MCP_TOOLS.md index 79eb4a0b..53926750 100644 --- a/docs/MCP_TOOLS.md +++ b/docs/MCP_TOOLS.md @@ -42,13 +42,36 @@ additional summary or promise extra token savings. Source IDs remain in `sources No user profile choice or tool switching is required. The dashboard `/mcp` endpoint and `engraphis-mcp-http` use this Smart surface by default. `engraphis-mcp-classic` (or -`engraphis-mcp-http --classic`) preserves the 35 direct tools below for integrations that pin +`engraphis-mcp-http --classic`) exposes the 38 direct tools below for integrations that pin their historical names and response shapes. Hosts which already own chat history should use `POST /api/adaptive-context`, not an MCP action. The gateway works in general MCP clients without native deferred tool search; clients that explicitly support OpenAI's deferred `tool_search` can apply it as an optional host optimization. +### Workspace routing + +Session starts accept an omitted workspace, resolving an explicit value, then the saved repo +mapping, then `default`. Routine remember and recall calls also inherit an omitted workspace +from an authorized supplied session before consulting the repo mapping. Local recall with no +workspace, repo, or session stays broad. +Explicit workspace/repo values that conflict with a supplied session are rejected; invalid or +unauthorized sessions never fall back. An explicit `workspace="default"` overrides a mapping. + +Session and remember responses report the resolved workspace and `workspace_source` (`explicit`, +`project`, or `default`, plus `session` on inherited writes) so the agent can show its destination. +Pass the returned `session_id` on subsequent recall and write calls to retain that scope. +There is no implicit server-global current session, and changing the dashboard workspace +selector does not change agent arguments. See [workspace organization](WORKSPACE_ORGANIZATION.md) +for project setup, hook overrides, and organizing existing memories. + +Saved project mappings live in the shared database, per authenticated caller or standalone +local context. The Classic `engraphis_list_workspaces`, `engraphis_get_workspace_routing`, and +`engraphis_set_workspace_routing` capabilities are available through Smart discovery and the +validated executors; saving a mapping still requires workspace access. Classic batch remember, +record-event, ingest, and proactive recall retain their explicit workspace contract: pass the +resolved destination returned by the session. + ### Standalone semantic startup On Windows, the standalone stdio and HTTP launchers import optional semantic dependencies @@ -152,6 +175,9 @@ an omitted mode means it was not recorded, and is not inferred from current defa | Governance | `engraphis_correct` | Replaces memory content without losing the previous version. Changed content clears the old literal binding; `exact_value`, `exact_value_type`, and optional `exact_value_span` explicitly bind a replacement, or `clear_exact_value=true` removes it. Governed provenance remains pending unless separately approved. | | Governance | `engraphis_promote` | Widens an explicitly approved memory's scope while preserving and linking its narrower history. | | Session | `engraphis_start_session` | Starts a work session. Exact retries are safe; `force_new=true` creates another session. | +| Workspace | `engraphis_list_workspaces` | Lists visible workspaces for choosing a destination. | +| Workspace | `engraphis_get_workspace_routing` | Returns the current caller's saved destination for an exact `repo` name. | +| Workspace | `engraphis_set_workspace_routing` | Saves or removes a repo-to-workspace mapping; takes `workspace`, `repo`, and `enabled` (default `true`). | | Session | `engraphis_end_session` | Closes a work session with a summary and open threads. | | Operations | `engraphis_stats` | Returns memory counts for health checks. | | Operations | `engraphis_check_update` | Refreshes the release cache and reports whether a newer version is available. Update checks are OFF unless `ENGRAPHIS_UPDATE_CHECK` is set to an affirmative value; `=0` keeps them off. | diff --git a/docs/WORKSPACE_ORGANIZATION.md b/docs/WORKSPACE_ORGANIZATION.md new file mode 100644 index 00000000..9c87ee16 --- /dev/null +++ b/docs/WORKSPACE_ORGANIZATION.md @@ -0,0 +1,179 @@ +# Put memories in the right workspace + +A workspace groups a client, product, or area of work. A repo groups one project inside it. +Memory types (`semantic`, `episodic`, `procedural`, and `working`) describe the kind of memory; +they do not select its workspace. + +| Work | Workspace | Repo | +|---|---|---| +| Product development | `acme` | `backend` | +| Work for another client | `client-north` | `website` | +| Research across projects | `research` | Omit for workspace-wide facts | + +Reuse stable names. Engraphis matches the `repo` supplied by an agent, not the topic it guesses +from a conversation. Two projects that share the same repo name need distinct names or an +explicit workspace choice. + +## Why memories land in `default` + +`default` remains the compatibility destination when an agent has no workspace, session, or +saved project mapping. An agent or hook that explicitly sends `workspace="default"` is making +a workspace choice; a saved mapping cannot override it. + +The dashboard workspace selector changes the dashboard's context. It does not change the +arguments sent by an already-connected agent. To route new agent work, save a project mapping +or put the selected workspace into that agent's project instructions. + +## Set up a project once + +1. Open **Connections**, choose the workspace, and enter or select the repo name the agent + will send in the project selector. +2. Under **Default workspace for this project**, select **Save project routing**. + **Remove project routing** removes the saved association. +3. Under **Use this workspace in your agent**, select **Copy workspace instructions** and put + those instructions in the project's instructions file. + +The copy button becomes available after the selected project's default is saved. These +instructions follow that saved default; changing it later needs no instruction-file edit. +For workspace-wide work without a project, copied instructions use the selected workspace directly. + +The mapping is stored in the same Engraphis database used by the dashboard and MCP server. +Authenticated users have their own mappings; standalone local clients share the local mapping. + +For a project that should always use an explicit destination, the essential instruction is: + +```text +Use Engraphis workspace="client-north" and repo="website" for this project. +Start a session, retain its session_id, and use that session for recall and remember. +Do not replace the workspace with "default". +``` + +The recommended project instructions let the saved mapping choose the destination: + +```text +For this project, use Engraphis repo="website". +Honor an explicit workspace choice for the current task. Otherwise omit workspace +so Engraphis can resolve the saved project mapping. +Retain the returned session_id and use it for recall and remember during the task. +Check the returned workspace when the session starts. +``` + +Remove conflicting hardcoded workspace values from global instructions, project instructions, +and hooks. In particular, `workspace="default"` is explicit, not an instruction to use the +saved mapping. Changing a mapping affects future calls that use it; an existing session stays +bound to its original workspace. + +## How the destination is resolved + +Session starts use an explicit workspace, then a saved repo mapping, then `default`. Routine +remember and recall calls resolve their destination in this order: + +1. An explicit `workspace` argument. +2. The workspace of the supplied, authorized `session_id`. +3. The saved mapping for the supplied `repo`. +4. `default` when writing without another destination, or recalling with a repo + that has no mapping. + +An explicit workspace or repo that conflicts with a supplied session is rejected, as is an +unauthorized session. An unknown session cannot supply a destination or accept a write; +an explicitly scoped read with an unknown session returns no memories. It never falls back +to `default`. Omitting workspace does not select some other recently active session: supply +its `session_id` to inherit it. +Without a workspace, repo, or session, local recall retains its broad search behavior. +Authenticated scope and session ownership checks still apply. + +For example, after saving `website` → `client-north`: + +```text +engraphis_session(action="start", repo="website", goal="Update the contact form") + → workspace: "client-north", session_id: "ses_..." + +engraphis_remember(content="Contact requests use the shared intake API.", + session_id="ses_...") + → workspace: "client-north", repo: "website" + +engraphis_recall_context(query="How do contact requests work?", session_id="ses_...") +``` + +For work without a repo, start with an explicit workspace and keep using its session. Choose +another workspace explicitly when the task changes clients or areas of work; memory type is +not a routing rule. + +## Command Code hook + +The SessionStart hook uses the nearest Git root's folder name as `repo`, including roots with +a `.git` file such as linked worktrees. Starting in `website/src` therefore uses `website`. +Outside Git it uses the current folder name. Save the mapping under that exact name; a checkout +whose root folder has a different name needs a matching mapping or an explicit override. + +With no `ENGRAPHIS_HOOK_WORKSPACE`, the hook omits workspace so the server can apply the mapping. +A nonblank `ENGRAPHIS_HOOK_WORKSPACE` is an explicit override. Clear a previous `default` +override to use project mappings. The recalled-context header names the workspace returned by +the server. The hook remains silent on errors or empty recall results. + +## Organize existing memories + +Routing changes future writes. Existing memories stay where they are until explicitly moved. +In **Library**, choose **Select memories**, select the records to reorganize, and choose +**Move selected**. In **Move selected memories**, choose a **Destination workspace** and +select **Preview move**. Review the source, destination, selected and related-history totals, +and any blockers before selecting **Move memories**. Confirmation is available only after a +clean preview. + +Related records must stay together. The preview can expand a selection to include correction, +promotion, consolidation, and other linked memories, plus complete closed sessions and their +events. Review that expanded list before confirming. A move keeps memory IDs, contents, +historical records, validity history, links, and graph evidence; repo names remain the same inside the +destination workspace. Existing receipts and audit history retain their original workspace, +and the move records a new audit entry. Workspace membership changes in place: time-travel +reads do not recreate a record's former workspace ownership. +Correction and review operation records move with their memories so retries and history ordering +continue to work. The preview shows Personal or Shared access for both workspaces; a shared +destination allows other users with workspace access to read workspace and project memories. + +A preview blocks the move when the connected selection: + +- Includes an active session, session-owned job/source collection, source-imported document, + or a code link. Finish the session or use the corresponding source/code workflow first. +- Includes memories that were exported or arrived through sync, or associated tombstones. +- Contains missing or foreign history/graph evidence, or would collide with a keyed claim or + live graph edge or correction operation ID in the destination. +- Has incoming event references outside the closed sessions being moved. Use a whole-workspace + operation to preserve that event history. +- Exceeds the 500-memory limit after adding related records. + +Use a small, coherent selection for each client or project. A workspace rename, copy, or merge +acts on a whole workspace; it is not a substitute for reviewing a mixed `default` workspace. +The move preview explains records that require another workflow. + +## Integrations and troubleshooting + +- The dashboard and agent must use the same `ENGRAPHIS_DB_PATH` to share mappings and memories. +- A saved mapping requires the agent to send its `repo`; the MCP server cannot infer a remote + client's working directory. +- Use the session response's resolved `workspace` to diagnose routing. Check explicit agent + arguments and hook overrides first if it differs from the saved mapping. +- Saving a mapping does not grant access to a workspace. Normal workspace authorization and + session ownership checks still apply. +- Pi and Prime Agent can use just `ENGRAPHIS_REPO` with a saved mapping; leave + `ENGRAPHIS_WORKSPACE` unset to use it. Explicit configured workspaces still take priority. + Prime Agent keeps the resolved destination for the session and checks the mapping again + when starting a new session. +- Discovery can find the workspace-list and project-routing actions. Execute the returned + capability and exact schema rather than inventing action IDs. + +For a custom integration, `GET /api/workspace-routing?repo=website` returns +`{repo, workspace, configured, source}`; an unmapped project has `workspace:null` and +`source:"default"`. Save with `POST /api/workspace-routing` and +`{"workspace":"client-north","repo":"website","enabled":true}`. Use `enabled:false` to +remove that association. These endpoints retain the dashboard's normal authorization and +request protection. + +Classic clients can use `engraphis_list_workspaces`, `engraphis_get_workspace_routing(repo)`, +and `engraphis_set_workspace_routing(workspace, repo, enabled)`. Smart clients discover these +capabilities and execute the returned read or action schema. Session and remember responses +include `workspace_source` (`explicit`, `project`, or `default`, plus `session` for inherited +remember calls) alongside the actual workspace and repo. + +See the [MCP reference](MCP_TOOLS.md) and the skill's +[scoping reference](../skills/engraphis-memory/references/SCOPING.md) for agent-facing details. diff --git a/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json b/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json new file mode 100644 index 00000000..928e04e5 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json @@ -0,0 +1,692 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP 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"24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json.sha256 b/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json.sha256 new file mode 100644 index 00000000..5c037d8f --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json.sha256 @@ -0,0 +1 @@ +8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e offline-fixtures-workspace-routing-20260928.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 9a096406..89fef678 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -ac63dac1e34c +8e50e02ecdee SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 68701df9..44946b2b 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2 + SHA256 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e diff --git a/engraphis/core/relocation.py b/engraphis/core/relocation.py new file mode 100644 index 00000000..719ab25c --- /dev/null +++ b/engraphis/core/relocation.py @@ -0,0 +1,505 @@ +"""Previewed, lossless relocation of bounded local memory components. + +The service supplies authorization and an owned transaction. This module only uses +the canonical store: vectors, text, temporal versions and historical receipts stay +intact. Dependencies that need a separate migration protocol fail closed. +""" +from __future__ import annotations + +import hashlib +import json +import re +import time +from dataclasses import dataclass, field +from typing import Any, Optional, Protocol + +from . import ids +from .interfaces import MemoryRecord +from .mutations import memory_version + +MAX_MOVE_MEMORIES = 500 +MAX_MOVE_SCAN = 25000 +_MEMORY_ID = re.compile(r"^mem_[A-Za-z0-9_-]+$") + + +class RelocationStore(Protocol): + conn: Any + + def get_memory(self, memory_id: str) -> Optional[MemoryRecord]: ... + def advance_memory_modified_hlc(self, memory_id: str, *, commit: bool = True) -> str: ... + def audit(self, actor: str, action: str, target: str, detail: str = "") -> Any: ... + + +def _json(raw: Any) -> Any: + try: + return json.loads(raw or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValueError("Repair malformed memory metadata before moving it.") from exc + + +def _references(value: Any) -> set[str]: + """Exact typed references, including nested evidence and legacy provenance.""" + found: set[str] = set() + pending = [value] + while pending: + item = pending.pop() + if isinstance(item, dict): + pending.extend(item.values()) + elif isinstance(item, list): + pending.extend(item) + elif isinstance(item, str) and _MEMORY_ID.fullmatch(item): + found.add(item) + return found + + +def _sync_origin(value: Any) -> bool: + pending = [value] + while pending: + item = pending.pop() + if isinstance(item, dict): + if item.get("synced_from_device") or item.get("source") in ("sync", "sync_conflict"): + return True + pending.extend(item.values()) + elif isinstance(item, list): + pending.extend(item) + return False + + +def _digest(value: Any) -> str: + return hashlib.sha256(json.dumps(value, sort_keys=True, ensure_ascii=False, + separators=(",", ":"), default=str).encode()).hexdigest() + + +def _endpoints(edge: dict, mapping: dict) -> tuple[str, str]: + source, target = mapping[edge["src"]], mapping[edge["dst"]] + if edge["relation"] in {"co_occurs", "related", "associated_with"} and target < source: + source, target = target, source + return source, target + + +def _rows(conn: Any, sql: str, args: tuple = ()) -> list[dict]: + rows = [dict(row) for row in conn.execute(sql, args).fetchmany(MAX_MOVE_SCAN + 1)] + if len(rows) > MAX_MOVE_SCAN: + raise ValueError("This move exceeds the review limit; organize a smaller workspace first.") + return rows + + +@dataclass +class MovePlan: + source_id: str + target_id: str + requested_ids: list[str] + records: list[MemoryRecord] = field(default_factory=list) + blockers: list[dict] = field(default_factory=list) + repos: list[dict] = field(default_factory=list) + sessions: list[dict] = field(default_factory=list) + events: list[dict] = field(default_factory=list) + commands: list[dict] = field(default_factory=list) + command_sources: list[dict] = field(default_factory=list) + entities: list[dict] = field(default_factory=list) + edges: list[dict] = field(default_factory=list) + incidences: list[dict] = field(default_factory=list) + preview_token: str = "" + + def block(self, code: str, message: str) -> None: + if not any(item["code"] == code for item in self.blockers): + self.blockers.append({"code": code, "message": message}) + + def public(self, source: str, target: str) -> dict: + return { + "source": source, "target": target, + "requested_ids": self.requested_ids, + "memory_ids": [record.id for record in self.records], + "count": len(self.records), + "related_count": len(self.records) - len(self.requested_ids), + "memories": [{"id": record.id, "title": record.title or record.content[:88], + "related": record.id not in self.requested_ids} + for record in self.records], + "sessions": len(self.sessions), "graph_edges": len(self.edges), + "repos": [row["name"] for row in self.repos], + "blockers": self.blockers, "can_move": not self.blockers, + "preview_token": self.preview_token if not self.blockers else "", + } + + +def prepare_move(store: RelocationStore, source_id: str, target_id: str, + requested_ids: list[str]) -> MovePlan: + """Read a complete dependency component; the caller authorizes every member.""" + c = store.conn + plan = MovePlan(source_id, target_id, requested_ids) + headers = _rows(c, "SELECT id, repo_id, session_id, metadata, provenance FROM memories " + "WHERE workspace_id=? ORDER BY id", (source_id,)) + by_id = {row["id"]: row for row in headers} + if any(mid not in by_id for mid in requested_ids): + raise ValueError("Every selected memory must belong to the source workspace.") + adjacent: dict[str, set[str]] = {mid: set() for mid in by_id} + + def connect(members: set[str]) -> None: + if not members: + return + first = min(members) + for mid in members: + adjacent.setdefault(first, set()).add(mid) + adjacent.setdefault(mid, set()).add(first) + + session_members: dict[str, set[str]] = {} + for row in headers: + connect({row["id"]} | _references(_json(row["metadata"])) + | _references(_json(row["provenance"]))) + if row["session_id"]: + session_members.setdefault(row["session_id"], set()).add(row["id"]) + for members in session_members.values(): + connect(members) + links = _rows(c, "SELECT l.* FROM mem_links l WHERE l.a IN " + "(SELECT id FROM memories WHERE workspace_id=?) OR l.b IN " + "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY l.rowid", + (source_id, source_id)) + for link in links: + connect({link["a"], link["b"]}) + edges = _rows(c, "SELECT * FROM edges WHERE workspace_id=? ORDER BY id", (source_id,)) + supports = _rows(c, "SELECT s.* FROM edge_supports s WHERE s.edge_id IN " + "(SELECT id FROM edges WHERE workspace_id=?) OR s.memory_id IN " + "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY s.id", + (source_id, source_id)) + edge_members: dict[str, set[str]] = {} + for support in supports: + edge_members.setdefault(support["edge_id"], set()).add(support["memory_id"]) + for edge in edges: + edge_members.setdefault(edge["id"], set()).update(_references(_json(edge["provenance"]))) + for members in edge_members.values(): + connect(members) + commands = _rows(c, "SELECT cmd.result_id, src.source_id FROM memory_commands cmd " + "JOIN memory_command_sources src ON src.workspace_id=cmd.workspace_id " + "AND src.operation_id=cmd.operation_id WHERE cmd.workspace_id=? " + "ORDER BY cmd.sequence, src.source_id", (source_id,)) + for command in commands: + connect({command["result_id"], command["source_id"]}) + + selected: set[str] = set() + pending = list(requested_ids) + while pending: + mid = pending.pop() + if mid in selected: + continue + if mid not in by_id: + plan.block("external_history", "Related history is missing or belongs to another " + "workspace. Repair that history before moving this selection.") + continue + selected.add(mid) + if len(selected) > MAX_MOVE_MEMORIES: + raise ValueError(f"Related history exceeds the {MAX_MOVE_MEMORIES}-memory move limit.") + pending.extend(adjacent.get(mid, set()) - selected) + for mid in sorted(selected): + record = store.get_memory(mid) + if record is None: + raise ValueError("Memory changed during preview; refresh and try again.") + plan.records.append(record) + if _sync_origin(record.metadata) or _sync_origin(record.provenance): + plan.block("synced_memory", "This selection contains synced memories. Use a sync-aware " + "workspace migration so existing peers retain consistent ownership.") + if any(key in record.metadata for key in ("document", "obsidian")): + plan.block("imported_document", "Imported documents must stay with their source " + "collection. Re-import the collection into the intended workspace.") + marks = ",".join("?" for _ in selected) + mids = tuple(sorted(selected)) + attachments: dict[str, list[dict]] = {} + plan.commands = _rows(c, f"SELECT * FROM memory_commands WHERE result_id IN ({marks}) " + f"OR (workspace_id,operation_id) IN (SELECT workspace_id,operation_id " + f"FROM memory_command_sources WHERE source_id IN ({marks})) " + "ORDER BY sequence", mids + mids) + for command in plan.commands: + sources = _rows(c, "SELECT * FROM memory_command_sources WHERE workspace_id=? " + "AND operation_id=? ORDER BY source_id", + (command["workspace_id"], command["operation_id"])) + plan.command_sources.extend(sources) + if (command["workspace_id"] != source_id or command["result_id"] not in selected + or any(row["source_id"] not in selected for row in sources)): + plan.block("external_command", "A correction or review operation has history outside " + "this selection. Repair that history before moving it.") + if c.execute("SELECT 1 FROM memory_commands WHERE workspace_id=? AND operation_id=?", + (target_id, command["operation_id"])).fetchone(): + plan.block("target_operation_conflict", "The destination already contains a correction " + "or review with the same operation ID. Choose another destination.") + for table, message, code in ( + ("memory_sync_exports", "Previously synced memories need a sync-aware workspace migration.", + "synced_memory"), + ("memory_tombstones", "This selection contains an erasure marker and cannot be moved.", + "erased_memory"), + ("source_imports", "Imported documents must stay with their source collection. " + "Re-import the collection into the intended workspace.", "imported_document"), + ("code_memory_links", "This selection is linked to indexed code. Move the whole workspace " + "to retain its code graph, or choose memories without code links.", "code_links"), + ): + attachments[table] = _rows(c, f"SELECT * FROM {table} WHERE memory_id IN ({marks})", mids) + if attachments[table]: + plan.block(code, message) + + session_ids = sorted({record.session_id for record in plan.records if record.session_id}) + for sid in session_ids: + row = c.execute("SELECT * FROM sessions WHERE id=?", (sid,)).fetchone() + if row is None or row["workspace_id"] != source_id: + raise ValueError("A memory has an invalid session. Repair its ownership before moving.") + session = dict(row) + plan.sessions.append(session) + if session["status"] not in ("summarized", "consolidated"): + plan.block("active_session", "End active sessions before moving their memories. " + "All memories and events in each closed session move together.") + jobs = _rows(c, "SELECT * FROM jobs WHERE session_id=? ORDER BY id", (sid,)) + vaults = _rows(c, "SELECT * FROM source_vaults WHERE session_id=? ORDER BY id", (sid,)) + if jobs or vaults: + plan.block("session_jobs", "A related session owns import or maintenance jobs. " + "Use a whole-workspace operation to preserve that job history.") + attachments["session_jobs:" + sid] = jobs + vaults + plan.events.extend(_rows(c, "SELECT * FROM events WHERE session_id=? ORDER BY id", (sid,))) + if any(event["workspace_id"] != source_id for event in plan.events): + raise ValueError("A session event has inconsistent workspace ownership.") + external = _references(_json(session.get("handoff"))) + for event in plan.events: + external.update(_references(_json(event.get("refs")))) + if external - selected: + plan.block("session_references", "Session handoff or events reference other memories. " + "Include their related history before moving the session.") + + moving_event_ids = {event["id"] for event in plan.events} + incoming_events = [event for event in _rows(c, "SELECT * FROM events WHERE workspace_id=? " + "ORDER BY id", (source_id,)) + if _references(_json(event.get("refs"))) & selected] + if any(event["id"] not in moving_event_ids for event in incoming_events): + plan.block("external_events", "Events outside these closed sessions reference the selected " + "memories. Use a whole-workspace operation to keep that event history together.") + + plan.edges = [edge for edge in edges if edge_members[edge["id"]] & selected] + edge_ids = {edge["id"] for edge in plan.edges} + selected_supports = [s for s in supports if s["memory_id"] in selected] + if any(s["edge_id"] not in edge_ids for s in selected_supports): + plan.block("external_graph", "Related graph evidence belongs to another workspace. " + "Repair that graph before moving these memories.") + plan.incidences = _rows(c, f"SELECT * FROM memory_entities WHERE memory_id IN ({marks}) " + "ORDER BY id", mids) + entity_ids = {row["entity_id"] for row in plan.incidences} + for edge in plan.edges: + entity_ids.update((edge["src"], edge["dst"])) + pending_entities = sorted(entity_ids) + seen_entities: set[str] = set() + while pending_entities: + eid = pending_entities.pop() + if eid in seen_entities: + continue + seen_entities.add(eid) + if len(seen_entities) > MAX_MOVE_SCAN: + raise ValueError("Related entity history exceeds the move review limit.") + row = c.execute("SELECT * FROM entities WHERE id=?", (eid,)).fetchone() + if row is None or row["workspace_id"] != source_id: + plan.block("external_graph", "Related graph entities have inconsistent ownership. " + "Repair the graph before moving these memories.") + else: + plan.entities.append(dict(row)) + if row["canonical_id"] and row["canonical_id"] != eid: + pending_entities.append(row["canonical_id"]) + plan.entities.sort(key=lambda entity: entity["id"]) + + repo_ids = {record.repo_id for record in plan.records if record.repo_id} + for row in plan.sessions + plan.events + plan.entities + plan.edges + plan.incidences: + if row.get("repo_id"): + repo_ids.add(row["repo_id"]) + for rid in sorted(repo_ids): + row = c.execute("SELECT * FROM repos WHERE id=?", (rid,)).fetchone() + if row is None or row["workspace_id"] != source_id: + raise ValueError("Related data has inconsistent project ownership.") + repo = dict(row) + target = c.execute("SELECT * FROM repos WHERE workspace_id=? AND name=?", + (target_id, repo["name"])).fetchone() + repo["target"] = dict(target) if target else None + plan.repos.append(repo) + repo_targets = {row["id"]: row["target"]["id"] if row["target"] else "new:" + row["id"] + for row in plan.repos} + for entity in plan.entities: + rid = repo_targets.get(entity["repo_id"]) + # Preserve distinct source aliases. Reusing every normalized-name match + # would collapse their incidence rows and can violate the live uniqueness + # constraints even though the original source graph was valid. + target = c.execute("SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " + "AND name=? AND etype IS ? ORDER BY id LIMIT 1", + (target_id, rid, entity["name"], entity["etype"])).fetchone() + entity["target"] = dict(target) if target else None + entity_targets = {row["id"]: row["target"]["id"] if row["target"] else "new:" + row["id"] + for row in plan.entities} + target_ancestors: dict[str, dict] = {} + source_entities = {row["id"]: row for row in plan.entities} + + def existing_root(entity: dict) -> str: + seen: set[str] = set() + current = entity + while current.get("canonical_id") and current["canonical_id"] != current["id"]: + if current["id"] in seen: + raise ValueError("Repair the destination's cyclic entity history before moving.") + seen.add(current["id"]) + row = c.execute("SELECT * FROM entities WHERE id=?", (current["canonical_id"],)).fetchone() + if row is None or row["workspace_id"] != target_id: + raise ValueError("Repair the destination's entity ownership before moving.") + current = dict(row) + target_ancestors[current["id"]] = current + return current["id"] + + roots: dict[str, str] = {} + + def planned_root(eid: str, visiting: set[str]) -> str: + if eid in roots: + return roots[eid] + if eid in visiting or eid not in source_entities or len(visiting) > 64: + raise ValueError("Repair incomplete or cyclic entity history before moving.") + entity = source_entities[eid] + parent = entity.get("canonical_id") + if entity["target"]: + root = existing_root(entity["target"]) + elif parent and parent != eid: + root = planned_root(parent, visiting | {eid}) + else: + root = "new:" + eid + roots[eid] = root + return root + + for entity in plan.entities: + entity["root"] = planned_root(entity["id"], set()) + parent = entity.get("canonical_id") + if entity["target"] and parent and parent != entity["id"]: + if entity["root"] != planned_root(parent, set()): + plan.block("target_graph_conflict", "The destination groups an existing entity " + "differently. Use a whole-workspace merge to reconcile its history.") + if not entity["target"] and entity["root"] == "new:" + entity["id"]: + # A root with a differently spelled existing normalized name would + # violate the target's uniqueness rule. Do not silently rewrite aliases. + collision = c.execute("SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " + "AND normalized_name=? AND etype IS ? AND canonical_id=id", + (target_id, repo_targets.get(entity["repo_id"]), + entity["normalized_name"], entity["etype"])).fetchone() + if collision and entity["normalized_name"]: + target_ancestors[collision["id"]] = dict(collision) + plan.block("target_graph_conflict", "The destination already groups a matching " + "entity under another name. Reconcile that graph before moving.") + target_conflicts = [] + incoming_keys: set[tuple] = set() + for edge in plan.edges: + if edge["valid_to"] is not None or edge["expired_at"] is not None: + continue + if edge["src"] not in entity_targets or edge["dst"] not in entity_targets: + continue # already blocked for invalid graph ownership + start, end = _endpoints(edge, entity_targets) + key = (repo_targets.get(edge["repo_id"]), start, end, edge["relation"], edge["layer"]) + if key in incoming_keys: + plan.block("target_graph_conflict", "Related graph relations would collide in the " + "destination. Use a whole-workspace merge to reconcile their evidence.") + incoming_keys.add(key) + collision = c.execute("SELECT * FROM edges WHERE workspace_id=? AND repo_id IS ? " + "AND src=? AND dst=? AND relation=? AND layer=? " + "AND valid_to IS NULL AND expired_at IS NULL LIMIT 1", + (target_id, repo_targets.get(edge["repo_id"]), + start, end, + edge["relation"], edge["layer"])).fetchone() + if collision: + target_conflicts.append(dict(collision)) + plan.block("target_graph_conflict", "The destination already has matching graph " + "relations. Use a whole-workspace merge to reconcile their evidence.") + for record in plan.records: + if (record.scope.value == "session" or not record.subject_key + or record.valid_to is not None or record.expired_at is not None): + continue + collision = c.execute("SELECT id, metadata, provenance, modified_hlc FROM memories " + "WHERE workspace_id=? AND repo_id IS ? AND scope=? AND mtype=? " + "AND subject_key=? AND claim_kind=? AND valid_to IS NULL " + "AND expired_at IS NULL LIMIT 1", + (target_id, repo_targets.get(record.repo_id), record.scope.value, + record.mtype.value, record.subject_key, record.claim_kind)).fetchone() + if collision: + target_conflicts.append(dict(collision)) + plan.block("target_claim_conflict", "The destination already contains a claim with " + "the same key. Review that conflict before moving these memories.") + ownership = _rows(c, "SELECT * FROM workspaces WHERE id IN (?,?) ORDER BY id", + (source_id, target_id)) + plan.preview_token = "move1:" + _digest({ + "ownership": ownership, "requested": requested_ids, + "versions": [[record.id, memory_version(record)] for record in plan.records], + "links": [link for link in links if link["a"] in selected or link["b"] in selected], + "commands": plan.commands, "command_sources": plan.command_sources, + "incoming_events": incoming_events, + "repos": plan.repos, "sessions": plan.sessions, "events": plan.events, + "entities": plan.entities, "target_ancestors": target_ancestors, + "edges": plan.edges, "supports": selected_supports, + "incidences": plan.incidences, "attachments": attachments, + "conflicts": target_conflicts, "blockers": plan.blockers, + }) + return plan + + +def apply_move(store: RelocationStore, plan: MovePlan, *, actor: str) -> None: + """Apply an authorized, revalidated plan inside the service's writer reservation.""" + if plan.blockers: + raise ValueError("Resolve the preview blockers before moving memories.") + c = store.conn + now = time.time() + repo_map: dict[str, str] = {} + for repo in plan.repos: + if repo["target"]: + repo_map[repo["id"]] = repo["target"]["id"] + else: + rid = ids.new_id("repo") + repo_map[repo["id"]] = rid + # Host routing and indexed-code settings are not portable with a memory subset. + c.execute("INSERT INTO repos(id,workspace_id,name,created_at,settings) VALUES(?,?,?,?,?)", + (rid, plan.target_id, repo["name"], now, "{}")) + for session in plan.sessions: + c.execute("UPDATE sessions SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(session["repo_id"]), session["id"])) + for event in plan.events: + c.execute("UPDATE events SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(event["repo_id"]), event["id"])) + entity_map = {entity["id"]: entity["target"]["id"] if entity["target"] else ids.new_id("entity") + for entity in plan.entities} + for entity in plan.entities: + if entity["target"]: + continue + eid = entity_map[entity["id"]] + root = entity["root"] + canonical = entity_map[root[4:]] if root.startswith("new:") else root + c.execute("INSERT INTO entities(id,workspace_id,repo_id,name,etype,canonical_id," + "normalized_name,canonical_method,canonical_confidence,created_at) " + "VALUES(?,?,?,?,?,?,?,?,?,?)", + (eid, plan.target_id, repo_map.get(entity["repo_id"]), entity["name"], + entity["etype"], canonical, + entity["normalized_name"], entity["canonical_method"], + entity["canonical_confidence"], entity["created_at"])) + for edge in plan.edges: + start, end = _endpoints(edge, entity_map) + c.execute("UPDATE edges SET workspace_id=?,repo_id=?,src=?,dst=? WHERE id=?", + (plan.target_id, repo_map.get(edge["repo_id"]), start, end, edge["id"])) + for incidence in plan.incidences: + c.execute("UPDATE memory_entities SET workspace_id=?,repo_id=?,entity_id=? WHERE id=?", + (plan.target_id, repo_map.get(incidence["repo_id"]), + entity_map[incidence["entity_id"]], incidence["id"])) + for record in plan.records: + c.execute("UPDATE memories SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(record.repo_id or ""), record.id)) + store.advance_memory_modified_hlc(record.id, commit=False) + store.audit(actor, "workspace_move", record.id, json.dumps({ + "operation": plan.preview_token, "source_workspace": plan.source_id, + "target_workspace": plan.target_id, "source_repo": record.repo_id, + "target_repo": repo_map.get(record.repo_id or ""), + }, sort_keys=True)) + # Keep operation identities and ordering with their history. Remove only the + # child keys while updating the parent so immediate foreign keys remain valid. + for row in plan.command_sources: + c.execute("DELETE FROM memory_command_sources WHERE source_id=?", (row["source_id"],)) + for command in plan.commands: + result = store.get_memory(command["result_id"]) + if result is None: + raise ValueError("A correction result disappeared during the move.") + c.execute("UPDATE memory_commands SET workspace_id=?,result_version=? WHERE sequence=?", + (plan.target_id, memory_version(result), command["sequence"])) + for row in plan.command_sources: + c.execute("INSERT INTO memory_command_sources(source_id,workspace_id,operation_id) VALUES(?,?,?)", + (row["source_id"], plan.target_id, row["operation_id"])) + for wid in (plan.source_id, plan.target_id): + c.execute("INSERT INTO graph_index_state(workspace_id,generation,state,updated_at) " + "VALUES(?,1,'ready',?) ON CONFLICT(workspace_id) DO UPDATE SET " + "generation=graph_index_state.generation+1,updated_at=excluded.updated_at", + (wid, now)) diff --git a/engraphis/dashboard_assets/index.html b/engraphis/dashboard_assets/index.html index 0551d6b4..6211714c 100644 --- a/engraphis/dashboard_assets/index.html +++ b/engraphis/dashboard_assets/index.html @@ -7,7 +7,7 @@ Engraphis Ledger - + @@ -190,6 +190,22 @@

Carry a project fact into your next session

This checklist stays on this browser, separately for each workspace and project. Local memory needs no account.

+
+

Use this workspace in your agent

+

Choose a workspace and project above, save its default, then copy the instructions into your agent’s project instructions. You only need to do this once per project.

+

Default workspace for this project

+

Save a default on this Engraphis server for agents that supply this project’s repository name and omit a workspace. An explicit workspace or a supplied session takes priority. Memory type does not choose a workspace.

+

Select a project to configure its default workspace.

+
+ + +
+

Copy agent instructions

+

Project instructions follow your saved default, so you can change it here later. With no project selected, the instructions use this workspace directly.

+
+ +

+

  1. Connect your agent

    @@ -289,6 +305,12 @@

    Browse, add and govern memories

    +
    + + Select memories on this page to move them to another workspace. + +
    +

    Loading memories…

    @@ -749,6 +771,25 @@

    Connect to this Engraphis deployment

    + +
    +
    +

    Organize memory

    Move selected memories

    +
    +

    Preview the destination and preserved history before moving. Moving changes who can access these memories to the destination workspace’s access rules.

    +

    + + +

    Choose a destination, then preview the move.

    + +
    + + + +
    +
    +     +
    @@ -801,11 +842,11 @@

    Connected nodes

     - + - + diff --git a/engraphis/dashboard_assets/ledger.css b/engraphis/dashboard_assets/ledger.css index 65473a89..8b8dd318 100644 --- a/engraphis/dashboard_assets/ledger.css +++ b/engraphis/dashboard_assets/ledger.css @@ -563,6 +563,18 @@ input::placeholder, textarea::placeholder { color: var(--c-dim); opacity: 1; } .library-layout { display: grid; grid-template-columns: minmax(280px, .85fr) minmax(340px, 1.15fr); gap: 12px; align-items: start; } .library-detail-stack { display: grid; gap: 12px; align-content: start; } .library-list { max-height: calc(100vh - 235px); overflow-y: auto; padding-right: 3px; } +.library-selection-toolbar { display: flex; flex-wrap: wrap; gap: 12px; align-items: center; margin: 0 0 14px; } +.library-selection-toolbar .project-help { flex: 1; min-width: 180px; } +.memory-selection-marker { display: block; margin-bottom: 8px; color: var(--c-acc); font-size: 12px; } +.connection-routing { margin: 18px 0; padding: 20px; border: 1px solid var(--c-line); border-radius: 6px; background: var(--c-surface); } +.connection-routing > p { color: var(--c-mid); line-height: 1.6; } +.connection-routing h3 { margin-top: 24px; } +.memory-move-preview .definition-list div { grid-template-columns: minmax(140px, 1fr) minmax(0, 1fr); } +.memory-move-preview .definition-list dd { overflow-wrap: anywhere; } +.memory-move-records summary { cursor: pointer; color: var(--c-acc); } +.memory-move-records ul { max-height: 240px; overflow-y: auto; padding-left: 22px; } +.memory-move-records li, .memory-move-blockers li { margin-top: 8px; overflow-wrap: anywhere; } +.memory-move-records li span { color: var(--c-mid); font-size: 12px; } .memory-link-card, .memory-card { position: relative; width: 100%; color: var(--c-fg); text-align: left; cursor: pointer; } .memory-link-card:hover, .memory-card.selected { border-color: var(--c-acc); background: var(--c-acc-soft); } .memory-card .memory-meta, .detail-meta { diff --git a/engraphis/dashboard_assets/ledger.js b/engraphis/dashboard_assets/ledger.js index b0dfb8b4..2175839a 100644 --- a/engraphis/dashboard_assets/ledger.js +++ b/engraphis/dashboard_assets/ledger.js @@ -13,6 +13,9 @@ libraryCursors: [null], libraryPage: 0, libraryLoading: false, + librarySelecting: false, + moveMemoryIds: new Set(), + memoryMove: null, selectedMemory: '', editorMemory: null, editorSession: null, @@ -1192,6 +1195,7 @@ } async function loadMemories(workspace, epoch, page = 0) { + resetMoveSelection(); const request = beginScopedRequest('library'); const params = new URLSearchParams({ workspace, limit: '100' }); if (request.project) params.set('repo', request.project); @@ -1236,6 +1240,10 @@ byId('library-next').disabled = state.libraryLoading || !state.libraryNextCursor; byId('library-refresh').disabled = state.libraryLoading || !state.workspace; byId('library-list').setAttribute('aria-busy', String(state.libraryLoading)); + byId('library-list').querySelectorAll('.memory-card').forEach(card => { + card.disabled = state.librarySelecting && state.libraryLoading; + }); + renderMoveSelection(); } function refreshLibrary(page = 0) { @@ -1320,6 +1328,7 @@ const processingControls = window.EngraphisProcessingControls.create(api); const askRequests = window.EngraphisAskRequests.create({ renderAnswer, renderPreview }); const workflow = window.EngraphisWorkflow.create({ + api, onProjectChange: () => { void selectWorkspace(state.workspace); }, onNavigate: view => switchView(view), onNewMemory: () => { switchView('library'); openEditor(); }, @@ -1343,6 +1352,7 @@ async function selectWorkspace(name) { if (!name) return; + resetMoveSelection(true); invalidateConsolidationReview(); const epoch = ++state.refreshEpoch; invalidateScopedRequests(); @@ -1420,14 +1430,31 @@ card.type = 'button'; card.setAttribute('role', 'option'); card.dataset.memoryId = memory.id; - card.setAttribute('aria-selected', String(state.selectedMemory === memory.id)); - if (state.selectedMemory === memory.id) card.classList.add('selected'); + const selected = state.librarySelecting ? state.moveMemoryIds.has(memory.id) : state.selectedMemory === memory.id; + card.setAttribute('aria-selected', String(selected)); + if (selected) card.classList.add('selected'); + if (state.librarySelecting) { + const marker = node('span', 'memory-selection-marker', selected ? 'Selected for move' : 'Select for move'); + marker.setAttribute('aria-hidden', 'true'); + card.append(marker); + } card.append( node('h2', '', memoryTitle(memory)), node('p', '', truncate(memory.content || memory.summary, 240)), memoryMeta(memory), ); - card.addEventListener('click', () => openMemory(memory)); + card.addEventListener('click', () => { + if (!state.librarySelecting) { openMemory(memory); return; } + if (state.libraryLoading) return; + if (state.moveMemoryIds.has(memory.id)) state.moveMemoryIds.delete(memory.id); + else state.moveMemoryIds.add(memory.id); + closeMemoryMove(); + renderLibrary(); + byId('library-list').querySelectorAll('[data-memory-id]').forEach(item => { + if (item.dataset.memoryId === memory.id) { item.tabIndex = 0; item.focus(); } + else item.tabIndex = -1; + }); + }); return card; } @@ -1437,6 +1464,8 @@ function renderLibrary() { const target = byId('library-list'); + target.setAttribute('aria-multiselectable', String(state.librarySelecting)); + renderMoveSelection(); if (!target.dataset.keyboardBound) { target.dataset.keyboardBound = 'true'; target.addEventListener('keydown', event => { @@ -1472,6 +1501,198 @@ cards.forEach((card, index) => { card.tabIndex = index === (selectedIndex >= 0 ? selectedIndex : 0) ? 0 : -1; }); } + function renderMoveSelection() { + const toggle = byId('library-selection-toggle'); + toggle.disabled = state.libraryLoading || !state.workspace || !state.memories.length; + toggle.setAttribute('aria-pressed', String(state.librarySelecting)); + toggle.textContent = state.librarySelecting ? 'Cancel selection' : 'Select memories'; + byId('library-selection-status').textContent = state.librarySelecting + ? `${state.moveMemoryIds.size} selected on this page. Changing results clears the selection.` + : 'Select memories on this page to move them to another workspace.'; + byId('library-move').disabled = state.libraryLoading || !state.moveMemoryIds.size; + } + + function resetMoveSelection(finish = false) { + closeMemoryMove(); + state.moveMemoryIds.clear(); + if (finish) state.librarySelecting = false; + renderMoveSelection(); + } + + function closeMemoryMove() { + const dialog = byId('memory-move-dialog'); + const move = state.memoryMove; + state.memoryMove = null; + beginScopedRequest('memory-move'); + if (dialog.open) dialog.close(); + if (move && move.returnFocus && move.returnFocus.isConnected) move.returnFocus.focus(); + } + + function invalidateMemoryMovePreview() { + const move = state.memoryMove; + if (!move || move.applying) return; + beginScopedRequest('memory-move'); + move.preview = null; + move.loading = false; + byId('memory-move-error').hidden = true; + byId('memory-move-preview').replaceChildren(empty('Choose a destination, then preview the move.')); + renderMemoryMoveControls(); + } + + function renderMemoryMoveControls() { + const move = state.memoryMove; + if (!move) return; + const busy = move.loading || move.applying; + const target = byId('memory-move-target'); + target.disabled = move.applying; + byId('memory-move-cancel').disabled = move.applying; + byId('memory-move-preview-button').disabled = busy || !target.value; + byId('memory-move-apply').disabled = busy || !move.preview || move.preview.can_move !== true; + byId('memory-move-form').setAttribute('aria-busy', String(busy)); + } + + function openMemoryMove() { + if (!state.moveMemoryIds.size || state.libraryLoading) return; + closeMemoryMove(); + state.memoryMove = { + workspace: state.workspace, project: state.project, + ids: [...state.moveMemoryIds].sort(), preview: null, loading: false, applying: false, + returnFocus: document.activeElement, + }; + const target = byId('memory-move-target'); + target.replaceChildren(option('', 'Choose a workspace')); + state.workspaces.filter(item => workspaceName(item) && workspaceName(item) !== state.workspace) + .sort((a, b) => workspaceName(a).localeCompare(workspaceName(b))).forEach(item => { + const name = workspaceName(item); + const access = item.visibility === 'personal' ? 'Personal' + : item.visibility === 'shared' ? 'Shared' : 'Access shown in preview'; + target.append(option(name, `${name} · ${access}`)); + }); + byId('memory-move-source').textContent = `From ${JSON.stringify(state.workspace)} · ${state.moveMemoryIds.size} selected`; + invalidateMemoryMovePreview(); + if (target.options.length === 1) { + byId('memory-move-preview').replaceChildren(empty('Create another accessible workspace in Settings before moving memories.')); + } + byId('memory-move-dialog').showModal(); + target.focus(); + } + + function memoryMoveBody(move) { + return { workspace: move.workspace, target_workspace: byId('memory-move-target').value, memory_ids: move.ids }; + } + + function renderMemoryMovePreview(preview, move) { + const target = byId('memory-move-preview'); + const rows = [ + ['From workspace', preview.source], ['To workspace', preview.target], + ['Selected memories', move.ids.length], ['Total records to move', preview.count], + ['Related memories and history', preview.related_count], + ]; + if (preview.sessions != null) rows.push(['Closed sessions included', preview.sessions]); + if (preview.graph_edges != null) rows.push(['Graph relationships included', preview.graph_edges]); + if (Array.isArray(preview.repos) && preview.repos.length) rows.push(['Projects preserved', preview.repos.join(', ')]); + target.replaceChildren(definitionList(rows.map(([label, value]) => [label, text(value)]))); + const visibilityLabel = value => value === 'personal' ? 'Personal' : value === 'shared' ? 'Shared' : 'Unknown'; + target.append(node('p', 'project-help', `Access: ${visibilityLabel(preview.source_visibility)} → ${visibilityLabel(preview.target_visibility)}.`)); + if (preview.target_visibility === 'shared') { + target.append(node('p', 'project-help', 'The destination is shared. Other users with workspace access can read the moved workspace and project memories. Session ownership restrictions still apply.')); + } else if (preview.target_visibility === 'personal') { + target.append(node('p', 'project-help', 'The destination is personal. Its owner controls access to the moved memories.')); + } + target.append(node('p', 'project-help', 'Related memories and their history, closed sessions and their events move together. Original identifiers and preserved history stay attached to the memories.')); + if (Array.isArray(preview.memories) && preview.memories.length) { + const details = node('details', 'memory-move-records'); + details.append(node('summary', '', `Review all ${preview.memories.length} records`)); + const list = node('ul'); + preview.memories.forEach(memory => { + const item = node('li'); + item.append(node('strong', '', memory.title || memory.id), + node('span', '', ` · ${memory.id}${memory.related ? ' · related record' : ' · selected'}`)); + list.append(item); + }); + details.append(list); + target.append(details); + } + const blockers = Array.isArray(preview.blockers) ? preview.blockers : []; + if (blockers.length) { + target.append(node('p', 'form-error', 'These records cannot be moved yet:')); + const list = node('ul', 'memory-move-blockers'); + blockers.forEach(blocker => list.append(node('li', '', blocker.message || blocker.code || 'Move is blocked.'))); + target.append(list); + } else if (preview.can_move === true) { + target.append(node('p', 'project-help', 'Review this destination and complete record list, then choose Move memories.')); + } + } + + async function previewMemoryMove() { + const move = state.memoryMove; + if (!move || move.loading || move.applying || !byId('memory-move-target').value) return; + const request = beginScopedRequest('memory-move'); + const body = memoryMoveBody(move); + move.preview = null; + move.loading = true; + byId('memory-move-error').hidden = true; + byId('memory-move-preview').replaceChildren(empty('Checking the complete move and its related history…')); + renderMemoryMoveControls(); + try { + const preview = await api('/memories/move-preview', { method: 'POST', body, signal: request.signal }); + if (state.memoryMove !== move || !isCurrentScopedRequest(request) || body.target_workspace !== byId('memory-move-target').value) return; + const sameIds = Array.isArray(preview.requested_ids) + && JSON.stringify([...preview.requested_ids].sort()) === JSON.stringify(move.ids); + if (preview.source !== body.workspace || preview.target !== body.target_workspace || !sameIds + || (preview.can_move === true && (typeof preview.preview_token !== 'string' || !preview.preview_token))) { + throw new Error('The preview does not match this selection. Request a new preview.'); + } + if (Array.isArray(preview.blockers) && preview.blockers.length) preview.can_move = false; + move.preview = preview; + renderMemoryMovePreview(preview, move); + } catch (error) { + if (state.memoryMove !== move || !isCurrentScopedRequest(request)) return; + byId('memory-move-preview').replaceChildren(empty('No move has been submitted.')); + byId('memory-move-error').textContent = `Could not preview the move: ${error.message}`; + byId('memory-move-error').hidden = false; + } finally { + if (state.memoryMove === move && isCurrentScopedRequest(request)) { + move.loading = false; + renderMemoryMoveControls(); + } + } + } + + async function applyMemoryMove(event) { + event.preventDefault(); + const move = state.memoryMove; + if (!move || move.loading || move.applying || !move.preview || move.preview.can_move !== true) return; + const request = beginScopedRequest('memory-move'); + const body = { ...memoryMoveBody(move), preview_token: move.preview.preview_token, confirmed: true }; + if (body.target_workspace !== move.preview.target || body.workspace !== move.preview.source) { + invalidateMemoryMovePreview(); + return; + } + move.applying = true; + byId('memory-move-error').hidden = true; + renderMemoryMoveControls(); + try { + const result = await api('/memories/move', { method: 'POST', body, signal: request.signal }); + if (state.memoryMove !== move || !isCurrentScopedRequest(request)) return; + closeMemoryMove(); + await selectWorkspace(move.workspace); + if (state.workspace === move.workspace) showNotice(`Moved ${number(result.count)} records to ${JSON.stringify(result.workspace)}. History is preserved.`); + } catch (error) { + if (state.memoryMove !== move || !isCurrentScopedRequest(request)) return; + move.preview = null; + byId('memory-move-error').textContent = error.status === 409 + ? 'Memory or workspace state changed. Preview the move again before continuing.' + : `The move could not be confirmed: ${error.message} Preview again to check the current records before retrying.`; + byId('memory-move-error').hidden = false; + } finally { + if (state.memoryMove === move && isCurrentScopedRequest(request)) { + move.applying = false; + renderMemoryMoveControls(); + } + } + } + function definitionList(entries) { const list = node('dl', 'definition-list'); entries.forEach(([term, value]) => { @@ -2233,7 +2454,8 @@ delete byId('obsidian-cancel').dataset.workspace; } byId('obsidian-workspace').value = state.workspace; - byId('obsidian-repo').value = ''; + byId('obsidian-repo').value = state.project; + byId('obsidian-scope').value = state.project ? 'repo' : 'workspace'; byId('obsidian-session').value = ''; byId('obsidian-vault-label').value = ''; if (!obsidianImport.running) { @@ -5268,15 +5490,32 @@ byId('ask-form').addEventListener('submit', askMemory); byId('review-refresh').addEventListener('click', () => { void loadReviewInbox(); }); byId('library-filter').addEventListener('input', () => { + resetMoveSelection(); window.clearTimeout(librarySearchTimer); // Invalidate immediately: an earlier query must not paint while the new one debounces. beginScopedRequest('library'); + state.libraryLoading = Boolean(state.workspace); + renderLibraryPaging(); librarySearchTimer = window.setTimeout(() => refreshLibrary(), 250); }); byId('library-type').addEventListener('change', () => refreshLibrary()); byId('library-previous').addEventListener('click', () => refreshLibrary(state.libraryPage - 1)); byId('library-next').addEventListener('click', () => refreshLibrary(state.libraryPage + 1)); byId('library-refresh').addEventListener('click', () => refreshLibrary()); + byId('library-selection-toggle').addEventListener('click', () => { + state.librarySelecting = !state.librarySelecting; + resetMoveSelection(); + renderLibrary(); + }); + byId('library-move').addEventListener('click', openMemoryMove); + byId('memory-move-target').addEventListener('change', invalidateMemoryMovePreview); + byId('memory-move-preview-button').addEventListener('click', () => { void previewMemoryMove(); }); + byId('memory-move-form').addEventListener('submit', applyMemoryMove); + byId('memory-move-cancel').addEventListener('click', closeMemoryMove); + byId('memory-move-dialog').addEventListener('cancel', event => { + event.preventDefault(); + if (!state.memoryMove || !state.memoryMove.applying) closeMemoryMove(); + }); byId('first-memory-add').addEventListener('click', () => { if (!state.workspace) { switchView('manage'); diff --git a/engraphis/dashboard_assets/workflow-context.js b/engraphis/dashboard_assets/workflow-context.js index 61f903e0..4e3eb2da 100644 --- a/engraphis/dashboard_assets/workflow-context.js +++ b/engraphis/dashboard_assets/workflow-context.js @@ -27,7 +27,7 @@ window.EngraphisWorkflow = { title, - create({ onProjectChange, onNavigate, onNewMemory }) { + create({ api, onProjectChange, onNavigate, onNewMemory }) { const byId = id => document.getElementById(id); let workspace = ''; let project = ''; @@ -37,9 +37,109 @@ const journeyKey = () => 'engraphis-connection-journey-v1:' + encodeURIComponent(workspace) + ':' + encodeURIComponent(project); let journey = {}; + let routingGeneration = 0; + let routingController = null; + let routingBusy = false; + let routingWorkspace = null; const checkIds = ['connection-configured', 'connection-recalled', 'connection-corrected']; const scopeLabel = () => project ? workspace + ' / ' + project : workspace + ' / all projects'; + function renderWorkspaceInstructions() { + const lines = workspace && project ? [ + 'For this project, use Engraphis repo=' + JSON.stringify(project) + '.', + 'Honor an explicit workspace choice for the current task. Otherwise omit workspace so the saved project default applies.', + 'Start a session and check its returned workspace. Retain its session_id for recall and remember during this task.', + 'Do not add a hardcoded workspace="default". Existing sessions keep their workspace when the project default changes.', + ] : workspace ? [ + 'Use Engraphis workspace=' + JSON.stringify(workspace) + '.', + project ? 'Use repo=' + JSON.stringify(project) + ' for this project.' : 'No project is selected. Omit repo for workspace-wide work.', + 'Pass this workspace' + (project ? ' and repo' : '') + ' on every session start, recall, and remember call.', + 'Use the returned session_id for this work context on tools that accept it.', + 'When only session_id is supplied, inherit its workspace. Never combine a session with a different workspace or repo.', + ] : ['Choose a workspace to generate agent instructions.']; + byId('connection-workspace-instructions').textContent = lines.join('\n'); + byId('connection-workspace-copy').disabled = !workspace || Boolean(project && (routingBusy || routingWorkspace !== workspace)); + } + + function renderRoutingControls() { + byId('connection-routing-save').disabled = !workspace || !project || routingBusy; + byId('connection-routing-remove').disabled = !workspace || !project || routingBusy + || routingWorkspace !== workspace; + byId('connection-routing-status').setAttribute('aria-busy', String(routingBusy)); + renderWorkspaceInstructions(); + } + + function routingRequest() { + if (routingController) routingController.abort(); + routingController = new AbortController(); + const generation = ++routingGeneration; + const selectedWorkspace = workspace; + const selectedProject = project; + return { + workspace: selectedWorkspace, + project: selectedProject, + signal: routingController.signal, + current: () => generation === routingGeneration && selectedWorkspace === workspace && selectedProject === project, + }; + } + + function showRouting(result) { + routingWorkspace = result && result.configured === true && typeof result.workspace === 'string' + ? result.workspace : null; + byId('connection-routing-status').textContent = routingWorkspace + ? 'Default for ' + JSON.stringify(project) + ': ' + JSON.stringify(routingWorkspace) + + (routingWorkspace === workspace ? '.' : '. Saving will replace it with ' + JSON.stringify(workspace) + '.') + : 'No project default is saved. Save to route ' + JSON.stringify(project) + ' to ' + JSON.stringify(workspace) + '.'; + } + + async function loadRouting() { + const request = routingRequest(); + routingWorkspace = null; + routingBusy = Boolean(workspace && project); + byId('connection-workspace-copy-status').textContent = ''; + byId('connection-routing-status').textContent = routingBusy + ? 'Checking this project’s default workspace…' : 'Select a project to configure its default workspace.'; + renderRoutingControls(); + if (!routingBusy) return; + try { + const result = await api('/workspace-routing?repo=' + encodeURIComponent(request.project), { signal: request.signal }); + if (request.current()) showRouting(result); + } catch (error) { + if (request.current()) byId('connection-routing-status').textContent = 'Could not load project routing: ' + error.message; + } finally { + if (request.current()) { + routingBusy = false; + renderRoutingControls(); + } + } + } + + async function saveRouting(enabled) { + if (!workspace || !project || routingBusy || (!enabled && routingWorkspace !== workspace)) return; + const request = routingRequest(); + routingBusy = true; + renderRoutingControls(); + byId('connection-routing-status').textContent = enabled ? 'Saving project routing…' : 'Removing project routing…'; + try { + const result = await api('/workspace-routing', { + method: 'POST', signal: request.signal, + body: { workspace: request.workspace, repo: request.project, enabled }, + }); + if (request.current()) showRouting(result); + } catch (error) { + if (request.current()) { + routingWorkspace = null; + byId('connection-routing-status').textContent = 'Could not confirm the routing change: ' + + error.message + ' Reselect this project to check its saved default.'; + } + } finally { + if (request.current()) { + routingBusy = false; + renderRoutingControls(); + } + } + } + function renderJourney() { const host = Object.hasOwn(instructions, journey.host) ? journey.host : 'codex'; byId('connection-host').value = host; @@ -64,6 +164,7 @@ + ' Agent connection and restart are not verified by this dashboard.'; byId('connection-add-memory').disabled = !workspace; byId('connection-ask').disabled = !workspace; + renderWorkspaceInstructions(); } function renderProjects() { @@ -112,6 +213,22 @@ })); byId('connection-add-memory').addEventListener('click', onNewMemory); byId('connection-ask').addEventListener('click', () => onNavigate('ask')); + byId('connection-routing-save').addEventListener('click', () => { void saveRouting(true); }); + byId('connection-routing-remove').addEventListener('click', () => { void saveRouting(false); }); + byId('connection-workspace-copy').addEventListener('click', async () => { + const selectedWorkspace = workspace; + const selectedProject = project; + try { + await navigator.clipboard.writeText(byId('connection-workspace-instructions').textContent); + if (workspace === selectedWorkspace && project === selectedProject) { + byId('connection-workspace-copy-status').textContent = 'Copied workspace instructions.'; + } + } catch (_) { + if (workspace === selectedWorkspace && project === selectedProject) { + byId('connection-workspace-copy-status').textContent = 'Copy is unavailable. Select and copy the instructions above.'; + } + } + }); byId('connection-copy').addEventListener('click', async () => { try { await navigator.clipboard.writeText(byId('connection-command').textContent); @@ -145,6 +262,7 @@ byId('project-load-status').textContent = workspace ? 'Loading projects…' : ''; renderProjects(); renderJourney(); + void loadRouting(); }, setProjects(values) { projectNames.clear(); diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index abf6bac5..53f1bde5 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -67,11 +67,14 @@ logger = logging.getLogger("engraphis.mcp") _SESSION_PROTOCOL = """Use Engraphis as durable, scoped memory in every client session. -Before the first substantive action, call engraphis_recall_proactive with the operator-configured -workspace (or "default" only when none was supplied), the current repository name when known, -and k=5. For every multi-step task, first call -engraphis_start_session with the same workspace/repo plus the client name and task goal; retain -its session_id and use its bootstrap handoff. For query-driven prompt context, prefer +For every multi-step task, first call engraphis_start_session with the user's chosen workspace +(or omit workspace for the saved project choice), the current repository name when known, +the client name, and task goal. Inspect the returned workspace and workspace_source; retain +session_id and use its bootstrap handoff. Call engraphis_recall_proactive with that resolved +workspace/repo and k=5 before substantive action. Pass session_id on remember and recall to +inherit its workspace. Without a session or saved project choice, omitted-workspace writes +use default. Discover workspace routing to save a project choice across clients; memory type +does not choose a workspace. For query-driven prompt context, prefer engraphis_recall_context with the smallest sufficient token_budget; use engraphis_recall only when complete memory bodies are explicitly needed. Recall before asking the user for information they may already have provided. @@ -404,6 +407,8 @@ def remove_trailing_record(records: list, key: str) -> bool: return payload _READ_ONLY_TOOLS = frozenset({ + "engraphis_list_workspaces", + "engraphis_get_workspace_routing", "engraphis_recall", "engraphis_recall_grounded", "engraphis_answer", @@ -454,6 +459,55 @@ def minimum_role(tool_name: str) -> str: return "member" +@mcp.tool( + name="engraphis_list_workspaces", + annotations={"title": "List available memory workspaces", "readOnlyHint": True, + "destructiveHint": False, "idempotentHint": True, "openWorldHint": False}, +) +def engraphis_list_workspaces() -> str: + """List authorized workspaces and repositories to choose a memory destination.""" + try: + return _ok(service().list_workspaces()) + except Exception as exc: # noqa: BLE001 + return _err(exc) + + +@mcp.tool( + name="engraphis_get_workspace_routing", + annotations={"title": "Read a project's workspace choice", "readOnlyHint": True, + "destructiveHint": False, "idempotentHint": True, "openWorldHint": False}, +) +def engraphis_get_workspace_routing( + repo: Annotated[str, Field(description="Exact repository name.", min_length=1, + max_length=200)], +) -> str: + """Read your saved project workspace routing without changing memories or sessions.""" + try: + return _ok(service().get_workspace_routing(repo)) + except Exception as exc: # noqa: BLE001 + return _err(exc) + + +@mcp.tool( + name="engraphis_set_workspace_routing", + annotations={"title": "Save a project's workspace choice", "readOnlyHint": False, + "destructiveHint": False, "idempotentHint": True, "openWorldHint": False}, +) +def engraphis_set_workspace_routing( + workspace: Annotated[str, Field(description="Existing workspace to select.", min_length=1, + max_length=200)], + repo: Annotated[str, Field(description="Exact repository name.", min_length=1, + max_length=200)], + enabled: Annotated[StrictBool, Field(description="Save this choice, or remove it when false.")] + = True, +) -> str: + """Save your project workspace routing for future omitted-workspace calls across clients.""" + try: + return _ok(service().set_workspace_routing(workspace, repo=repo, enabled=enabled)) + except Exception as exc: # noqa: BLE001 + return _err(exc) + + @mcp.tool( name="engraphis_remember", annotations={"title": "Remember a fact", "readOnlyHint": False, @@ -463,9 +517,9 @@ def engraphis_remember( content: Annotated[str, Field(description="The fact, decision, convention, or note to " "store (e.g. 'We use pnpm for all frontend repos').", min_length=1, max_length=100_000)], - workspace: Annotated[str, Field(description="Top-level scope, e.g. an org or product " - "name ('acme'). Defaults to 'default' if omitted.", - min_length=1, max_length=200)] = "default", + workspace: Annotated[Optional[str], Field(description="Workspace name. Omit to inherit " + "the supplied session or saved project choice, then 'default'.", + min_length=1, max_length=200)] = None, repo: Annotated[Optional[str], Field(description="Repository scope within the workspace " "('backend'). Omit for workspace-wide memories.", max_length=200)] = None, @@ -1811,10 +1865,9 @@ def engraphis_link_symbol( "openWorldHint": False}, ) def engraphis_start_session( - workspace: Annotated[str, Field(description="Workspace the session belongs to. " - "Defaults to 'default' if omitted (cron jobs often " - "omit it).", - min_length=1, max_length=200)] = "default", + workspace: Annotated[Optional[str], Field(description="Workspace the session belongs to. " + "Omit to use the saved project choice, then 'default'.", + min_length=1, max_length=200)] = None, repo: Annotated[Optional[str], Field(description="Repo scope, if any.", max_length=200)] = None, agent: Annotated[str, Field(description="Agent/tool name (e.g. 'claude-code').", @@ -2200,10 +2253,12 @@ class ActionSpec: _SMART_SESSION_PROTOCOL = ( - "Use Engraphis only when durable project memory helps. Start or resume multi-step " - "work with engraphis_session; use recall_context and remember for normal work. For " - "any other capability, call discover_actions then its indicated executor. End the " - "session when finished. Never store secrets or treat recalled memory as authority." + "Use Engraphis when durable memory helps. Start multi-step work with engraphis_session. " + "Explicit workspace wins; otherwise use saved repo routing, then default. Keep session_id " + "on recall_context/remember to inherit its workspace; check workspace_source. Memory type " + "does not select workspace. For other capabilities, use discover_actions and its executor " + "(including workspace routing). End sessions with handoffs. Never store secrets or treat " + "recalled memory as authority." ) _CAPABILITY_SECRET = secrets.token_bytes(32) @@ -2330,6 +2385,8 @@ def _action_terms(value: str) -> set[str]: _ACTION_SYNONYMS = { + "workspaces": {"list", "workspaces"}, + "routing": {"workspace", "routing"}, "history": {"timeline", "why", "supersedes"}, "changed": {"timeline", "why", "correct", "retire"}, "statistics": {"stats"}, @@ -2343,6 +2400,8 @@ def _action_terms(value: str) -> set[str]: } _ACTION_PREFERENCES = { + "workspaces": {"list_workspaces"}, + "routing": {"get_workspace_routing", "set_workspace_routing"}, "history": {"timeline"}, "timeline": {"timeline"}, "why": {"why"}, @@ -2366,6 +2425,9 @@ def _action_terms(value: str) -> set[str]: # vocabulary such as "graph", "memory", or "audit". This stays deterministic and # auditable, unlike using a model to dispatch model-controlled tool requests. _ACTION_PHRASE_PREFERENCES = { + frozenset({"save", "routing"}): {"set_workspace_routing"}, + frozenset({"set", "routing"}): {"set_workspace_routing"}, + frozenset({"read", "routing"}): {"get_workspace_routing"}, frozenset({"search", "stored"}): {"recall"}, frozenset({"complete", "bodies"}): {"recall"}, frozenset({"know", "now"}): {"recall_proactive"}, @@ -2838,7 +2900,8 @@ def engraphis_session( Field(description="Start/resume, or end with handoff.", pattern="^(start|end)$"), ] = "start", - workspace: Annotated[str, Field(description="Workspace.", max_length=200)] = "default", + workspace: Annotated[Optional[str], Field(description="Chosen workspace; omit for saved project routing.", + min_length=1, max_length=200)] = None, repo: Annotated[Optional[str], Field(description="Optional repo.", max_length=200)] = None, agent: Annotated[str, Field(description="Optional agent.", max_length=200)] = "", goal: Annotated[str, Field(description="Goal; start returns bounded context.", @@ -2938,7 +3001,8 @@ def smart_recall_context( def smart_remember( content: Annotated[str, Field(description="Durable fact, decision, preference, or procedure.", min_length=1, max_length=100_000)], - workspace: Annotated[str, Field(description="Memory workspace.", max_length=200)] = "default", + workspace: Annotated[Optional[str], Field(description="Chosen workspace; omit for session or project routing.", + min_length=1, max_length=200)] = None, repo: Annotated[Optional[str], Field(description="Optional repo.", max_length=200)] = None, session_id: Annotated[Optional[str], Field(description="Optional active session.")] = None, mtype: Annotated[str, Field(description="Type: semantic, episodic, procedural, or working.")] = "semantic", diff --git a/engraphis/routes/v2_api.py b/engraphis/routes/v2_api.py index dab03319..da0db3ee 100644 --- a/engraphis/routes/v2_api.py +++ b/engraphis/routes/v2_api.py @@ -419,13 +419,15 @@ def _is_embedder_mismatch(exc) -> bool: def _keyword_search(ws, q, limit=20, *, as_of: Optional[float] = None, valid_at: Optional[float] = None, - known_at: Optional[float] = None): + known_at: Optional[float] = None, + repo: Optional[str] = None, session_id: Optional[str] = None): """Non-semantic fallback: match memories by keyword (title/content LIKE) so the Recall/Why/Timeline tabs still return results when the embedder is unavailable.""" import json as _json import sqlite3 as _sql current_service = service() - ws = current_service._clean_ws(ws) + route = current_service.resolve_workspace(ws, repo=repo, session_id=session_id) + ws, repo = route["workspace"], route["repo"] # Read through the active store rather than opening a second raw SQLite connection. # This keeps dashboard reads on the same database/connection semantics as writes, # including :memory: databases, SQLCipher, and custom store connectors. @@ -434,6 +436,11 @@ def _keyword_search(ws, q, limit=20, *, as_of: Optional[float] = None, row = conn.execute("SELECT id FROM workspaces WHERE name=?", (ws,)).fetchone() if row is None: return [] + rid = current_service._lookup_repo(row["id"], repo) if repo else None + if repo and rid is None: + return [] + if session_id and current_service.store.get_session(session_id) is None: + return [] # Match the public Recall contract even if semantic retrieval cannot run. # A model-dimension mismatch must degrade retrieval quality, never silently # turn a historical request into a present-time data leak. @@ -447,7 +454,6 @@ def _keyword_search(ws, q, limit=20, *, as_of: Optional[float] = None, "valid_from, valid_to, valid_to_recorded_at, ingested_at, expired_at, " "subject_key, claim_kind, provenance, metadata FROM memories " "WHERE workspace_id=? " - "AND COALESCE(scope, 'workspace')!='session' " "AND (valid_from IS NULL OR valid_from<=?) " "AND (valid_to IS NULL OR ? 2][:6] if terms: sql += " AND (" + " OR ".join(["title LIKE ? ESCAPE '\\' OR content LIKE ? ESCAPE '\\'" for _ in terms]) + ")" @@ -659,6 +677,23 @@ def workspaces(): return _run(service().list_workspaces) +class _WorkspaceRoutingReq(BaseModel): + workspace: str = Field(min_length=1, max_length=200) + repo: str = Field(min_length=1, max_length=200) + enabled: StrictBool = True + + +@router.get("/workspace-routing") +def workspace_routing(repo: str = Query(..., min_length=1, max_length=200)): + return _run(service().get_workspace_routing, repo) + + +@router.post("/workspace-routing") +def workspace_routing_set(req: _WorkspaceRoutingReq): + return _run(service().set_workspace_routing, req.workspace, repo=req.repo, + enabled=req.enabled) + + # ── LLM connection status + test (dashboard "Connect your LLM" card) ─────────── # Provider → sensible default model, so the dashboard's provider picker can prefill a @@ -1102,6 +1137,30 @@ def workspaces_merge(req: _MergeWsReq): return _run(service().merge_workspaces, req.source, req.target) +class _MemoryMovePreviewReq(BaseModel): + workspace: str = Field(min_length=1, max_length=200) + target_workspace: str = Field(min_length=1, max_length=200) + memory_ids: list[str] = Field(min_length=1, max_length=500) + + +class _MemoryMoveReq(_MemoryMovePreviewReq): + preview_token: str = Field(min_length=1, max_length=200) + confirmed: StrictBool = False + + +@router.post("/memories/move-preview") +def memories_move_preview(req: _MemoryMovePreviewReq): + return _run(service().preview_memory_move, workspace=req.workspace, + target_workspace=req.target_workspace, memory_ids=req.memory_ids) + + +@router.post("/memories/move") +def memories_move(req: _MemoryMoveReq): + return _run(service().move_memories, workspace=req.workspace, + target_workspace=req.target_workspace, memory_ids=req.memory_ids, + preview_token=req.preview_token, confirmed=req.confirmed) + + class _ImportFolderReq(BaseModel): workspace: str path: str = Field(max_length=1024) @@ -1288,6 +1347,7 @@ def stats(workspace: Optional[str] = None): @router.get("/recall") def recall(q: str = Query(..., min_length=1, max_length=10_000), workspace: Optional[str] = None, + repo: Optional[str] = None, session_id: Optional[str] = None, k: int = Query(default=8, ge=1, le=50), mtype: Optional[str] = None, as_of: Optional[float] = None, valid_at: Optional[float] = None, known_at: Optional[float] = None, @@ -1296,7 +1356,9 @@ def recall(q: str = Query(..., min_length=1, max_length=10_000), response_mode: str = "full", diagnostics: bool = False, planning: str = "off", mtype_limits: Optional[str] = None): - ws = workspace or _default_ws() + selected_workspace = workspace if workspace is not None or repo or session_id else _default_ws() + route = _run(service().resolve_workspace, selected_workspace, repo=repo, session_id=session_id) + ws, repo = route["workspace"], route["repo"] mtypes = [mtype] if mtype else None try: parsed_limits = json.loads(mtype_limits) if mtype_limits else None @@ -1306,7 +1368,7 @@ def recall(q: str = Query(..., min_length=1, max_length=10_000), raise _invalid_request() from None try: out = service().recall( - q, workspace=ws, k=k, mtypes=mtypes, as_of=as_of, + q, workspace=ws, repo=repo, session_id=session_id, k=k, mtypes=mtypes, as_of=as_of, valid_at=valid_at, known_at=known_at, reinforce=False, token_budget=token_budget, retrieval_profile=retrieval_profile, candidate_depth=candidate_depth, @@ -1325,6 +1387,7 @@ def recall(q: str = Query(..., min_length=1, max_length=10_000), raise HTTPException(status_code=500, detail={"error": "internal server error"}) mems = _keyword_search( ws, q, -1, as_of=as_of, valid_at=valid_at, known_at=known_at, + repo=repo, session_id=session_id, ) mems = _score_keyword_recall(q, mems) mems = _apply_keyword_mtype_limits(mems, parsed_limits, k=k) @@ -1347,7 +1410,8 @@ def recall(q: str = Query(..., min_length=1, max_length=10_000), effective_budget = ( token_budget if token_budget is not None else service().engine.recall_engine.token_budget ) - return {"query": q, "workspace": ws, "count": len(mems), "context": "", + return {"query": q, "workspace": ws, "repo": repo, + "workspace_source": route["source"], "count": len(mems), "context": "", "memories": mems, "mode": "keyword", "response_mode": response_mode, "retrieval_profile": retrieval_profile, "candidate_depth": candidate_depth, @@ -1371,6 +1435,8 @@ def recall(q: str = Query(..., min_length=1, max_length=10_000), payload.update({ "query": q, "workspace": ws, + "repo": repo, + "workspace_source": route["source"], "count": out.get("count", 0), "context": out.get("context", ""), "mode": "semantic", @@ -1383,6 +1449,7 @@ class _AnswerReq(BaseModel): query: str = Field(min_length=1, max_length=10_000) workspace: Optional[str] = None repo: Optional[str] = None + session_id: Optional[str] = None k: int = Field(default=8, ge=1, le=50) max_citations: int = Field(default=5, ge=1, le=50) min_support: Optional[float] = Field(default=None, ge=0.0, le=1.0) @@ -1407,12 +1474,13 @@ def answer(req: _AnswerReq): privacy-safe operation receipt; this adapter only applies the dashboard's bounded request model and stable error boundary. """ - ws = req.workspace or _default_ws() + ws = req.workspace if req.workspace is not None or req.repo or req.session_id else _default_ws() out = _run( service().grounded_recall, req.query, workspace=ws, repo=req.repo, + session_id=req.session_id, k=req.k, as_of=req.as_of, valid_at=req.valid_at, @@ -1907,8 +1975,9 @@ def merge(req: _MergeReq): # enforced by dashboard_app; hosted members, roles, seats, and remote agents live in Cloud. class _RememberReq(BaseModel): content: str - workspace: str = "default" + workspace: Optional[str] = None repo: Optional[str] = None + session_id: Optional[str] = None mtype: str = "semantic" scope: Optional[str] = None title: str = "" @@ -1937,7 +2006,8 @@ def _request_is_loopback(request: Request) -> bool: @router.post("/remember") def remember(req: _RememberReq, request: Request): return _run(service().remember, req.content, workspace=req.workspace, - repo=req.repo, mtype=req.mtype, scope=req.scope, title=req.title, + repo=req.repo, session_id=req.session_id, + mtype=req.mtype, scope=req.scope, title=req.title, importance=req.importance, keywords=req.keywords, metadata=req.metadata, # This authenticated local API is the customer node's normal write # surface. Callers can explicitly mark imported/external material @@ -1958,8 +2028,9 @@ def remember(req: _RememberReq, request: Request): class _IntentRememberReq(BaseModel): text: str - workspace: str = "default" + workspace: Optional[str] = None repo: Optional[str] = None + session_id: Optional[str] = None title: str = "" mtype: str = "semantic" scope: Optional[str] = None @@ -1978,6 +2049,7 @@ def intent_remember(req: _IntentRememberReq, request: Request): # separate server-side Team boundary and is not implemented in this package. return _run( service().intent_remember, req.text, workspace=req.workspace, repo=req.repo, + session_id=req.session_id, title=req.title, mtype=req.mtype, scope=req.scope, importance=req.importance, metadata=req.metadata, retention_class=req.retention_class, retention_reason=req.retention_reason, @@ -2012,6 +2084,7 @@ class _IntentRecallReq(BaseModel): intent: str = "recall" workspace: Optional[str] = None repo: Optional[str] = None + session_id: Optional[str] = None mtypes: Optional[list] = None k: int = 8 as_of: Optional[float] = None @@ -2028,9 +2101,10 @@ class _IntentRecallReq(BaseModel): @router.post("/intent/recall") def intent_recall(req: _IntentRecallReq): + ws = req.workspace if req.workspace is not None or req.repo or req.session_id else _default_ws() return _run( service().intent_recall, req.query, intent=req.intent, - workspace=req.workspace or _default_ws(), repo=req.repo, + workspace=ws, repo=req.repo, session_id=req.session_id, mtypes=req.mtypes, k=req.k, as_of=req.as_of, valid_at=req.valid_at, known_at=req.known_at, token_budget=req.token_budget, retrieval_profile=req.retrieval_profile, diff --git a/engraphis/service.py b/engraphis/service.py index 00d44a8e..03b40236 100644 --- a/engraphis/service.py +++ b/engraphis/service.py @@ -1715,6 +1715,150 @@ def _clean_ws(self, workspace: Any) -> str: can never be skipped at an individual call site.""" return self._authorize_workspace(_clean_name(workspace, field="workspace")) + def _routing_owner(self) -> str: + principal = _authenticated_principal() + return "user:" + principal["id"] if principal is not None else "local" + + def _project_routing_rows(self, repo: str) -> list[dict]: + """Read this caller's selections without treating inaccessible targets as absent.""" + owner = self._routing_owner() + rows = self.store.conn.execute( + "SELECT r.id, r.settings, w.name AS workspace FROM repos r " + "JOIN workspaces w ON w.id=r.workspace_id WHERE r.name=? ORDER BY w.name", + (repo,), + ).fetchall() + selected = [] + for row in rows: + try: + settings = json.loads(row["settings"] or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValidationError("project routing settings are invalid") from exc + if not isinstance(settings, dict): + raise ValidationError("project routing settings are invalid") + routing = settings.get("workspace_routing", {}) + if not isinstance(routing, dict): + raise ValidationError("project routing settings are invalid") + if owner not in routing: + continue + if routing[owner] is not True: + raise ValidationError("project routing settings are invalid") + self._clean_ws(row["workspace"]) + selected.append({**dict(row), "settings": settings}) + return selected + + def get_workspace_routing(self, repo: str) -> dict: + """Return the caller's saved workspace for one exact repository name.""" + rp = _clean_name(repo, field="repo") + selected = self._project_routing_rows(rp) + if len(selected) > 1: + raise ValidationError("project has ambiguous workspace routing; select a workspace again") + workspace = selected[0]["workspace"] if selected else None + return {"repo": rp, "workspace": workspace, "configured": bool(selected), + "source": "project" if selected else "default"} + + def set_workspace_routing(self, workspace: str, *, repo: str, + enabled: bool = True) -> dict: + """Save or remove only this caller's project choice, preserving other settings.""" + ws = self._clean_ws(workspace) + rp = _clean_name(repo, field="repo") + enabled = _strict_bool(enabled, field="enabled") + owner = self._routing_owner() + with self.store.write_transaction(): + # Authorize all old and new destinations before creating even a repo row. + wid, _ = self._require_scope(ws, None) + selected = self._project_routing_rows(rp) + if ((enabled and len(selected) == 1 and selected[0]["workspace"] == ws) + or (not enabled and not any(row["workspace"] == ws for row in selected))): + return self.get_workspace_routing(rp) + target_row = self.store.conn.execute( + "SELECT id FROM repos WHERE workspace_id=? AND name=?", (wid, rp), + ).fetchone() + target_id = target_row["id"] if target_row else None + target_settings = {} + if target_id: + row = self.store.conn.execute( + "SELECT settings FROM repos WHERE id=?", (target_id,), + ).fetchone() + try: + target_settings = json.loads(row["settings"] or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValidationError("project routing settings are invalid") from exc + if (not isinstance(target_settings, dict) + or not isinstance(target_settings.get("workspace_routing", {}), dict)): + raise ValidationError("project routing settings are invalid") + for row in selected: + if not enabled and row["workspace"] != ws: + continue + settings = row["settings"] + settings["workspace_routing"].pop(owner) + if not settings["workspace_routing"]: + settings.pop("workspace_routing") + self.store.conn.execute( + "UPDATE repos SET settings=? WHERE id=?", + (json.dumps(settings), row["id"]), + ) + if row["id"] == target_id: + target_settings = settings + if enabled: + target_id = target_id or self.store.get_or_create_repo(wid, rp) + target_settings.setdefault("workspace_routing", {})[owner] = True + self.store.conn.execute( + "UPDATE repos SET settings=? WHERE id=?", + (json.dumps(target_settings), target_id), + ) + self.store.audit( + owner, "workspace_routing", wid, + "project destination saved" if enabled else "project destination removed", + commit=False, + ) + return self.get_workspace_routing(rp) + + def resolve_workspace(self, workspace: Optional[str] = None, *, + repo: Optional[str] = None, session_id: Optional[str] = None, + for_write: bool = False) -> dict: + """Resolve explicit selection, owned session, saved project, then legacy fallback. + + Routing is read-only. Validate supplied sessions before any write can create a + workspace/repo. Only an entirely context-free local read remains unscoped. + """ + ws = self._clean_ws(workspace) if workspace is not None else None + rp = _clean_name(repo, field="repo") if repo else None + if session_id: + sid = _clean_text(session_id, field="session_id", max_chars=MAX_NAME_CHARS) + session = self.store.get_session(sid) + if session is None: + if for_write or ws is None: + raise ValidationError(f"no session with id '{sid}'") + else: + self._authorize_session(session) + row = self.store.conn.execute( + "SELECT name FROM workspaces WHERE id=?", (session["workspace_id"],), + ).fetchone() + session_workspace = row["name"] + if (ws is not None and ws != session_workspace) or ( + rp is not None and (not session.get("repo_id") + or self._lookup_repo(session["workspace_id"], rp) + != session.get("repo_id"))): + raise ValidationError("session_id does not belong to that workspace/repo") + if for_write and session.get("status") != "active": + raise ValidationError("session_id is not active") + if session.get("repo_id"): + row = self.store.conn.execute( + "SELECT name FROM repos WHERE id=?", (session["repo_id"],), + ).fetchone() + rp = row["name"] if row else None + return {"workspace": ws or session_workspace, "repo": rp, + "source": "explicit" if ws is not None else "session"} + if ws is not None: + return {"workspace": ws, "repo": rp, "source": "explicit"} + if rp is not None: + mapping = self.get_workspace_routing(rp) + if mapping["configured"]: + return {"workspace": mapping["workspace"], "repo": rp, "source": "project"} + if for_write or rp is not None: + return {"workspace": self._clean_ws("default"), "repo": rp, "source": "default"} + return {"workspace": None, "repo": None, "source": "unscoped"} + def _check_owns(self, memory_id: str, wid: str, rid: Optional[str]) -> None: """Governance tools (forget/pin/correct/link) act on a bare memory_id; require the caller to also name the workspace (and optionally repo) it believes owns the memory, @@ -1795,7 +1939,7 @@ def _session_for_write(self, session_id: Optional[str], wid: str, return session # ── write ────────────────────────────────────────────────────────────────── - def remember(self, content: str, *, workspace: str, repo: Optional[str] = None, + def remember(self, content: str, *, workspace: Optional[str] = None, repo: Optional[str] = None, session_id: Optional[str] = None, mtype: str = "semantic", scope: Optional[str] = None, title: str = "", importance: float = 0.0, keywords: Optional[list] = None, metadata: Optional[dict] = None, @@ -1839,8 +1983,8 @@ def remember(self, content: str, *, workspace: str, repo: Optional[str] = None, source, trusted, raw_ingest=False, ingress=_ingress ) ) - ws = self._clean_ws(workspace) - rp = _clean_name(repo, field="repo") if repo else None + route = self.resolve_workspace(workspace, repo=repo, session_id=session_id, for_write=True) + ws, rp = route["workspace"], route["repo"] mt = _enum(mtype, MemoryType, "mtype") scope_was_omitted = scope is None sc = _write_scope(scope, repo=rp, session_id=session_id) @@ -1924,6 +2068,7 @@ def remember(self, content: str, *, workspace: str, repo: Optional[str] = None, raise out = { "id": result["id"], "workspace": ws, "repo": rp, + "workspace_source": route["source"], "scope": sc.value, "mtype": mt.value, "stored": True, "op": result["op"], } if result["op"] in ("noop", "invalidate", "relate"): @@ -2317,8 +2462,9 @@ def ingest(self, content: str, *, workspace: str, repo: Optional[str] = None, # Intent-native agent protocol. These wrappers intentionally stay transport-agnostic: # REST and MCP can expose the same remember/link/recall vocabulary without leaking # SQLite operations into agent prompts. - def intent_remember(self, text: str, *, workspace: str, - repo: Optional[str] = None, title: str = "", + def intent_remember(self, text: str, *, workspace: Optional[str] = None, + repo: Optional[str] = None, session_id: Optional[str] = None, + title: str = "", mtype: str = "semantic", scope: Optional[str] = None, importance: float = 0.0, metadata: Optional[dict] = None, @@ -2329,7 +2475,7 @@ def intent_remember(self, text: str, *, workspace: str, _local_agent_operator: bool = False, _ingress: str = "intent_api") -> dict: out = self.remember( - text, workspace=workspace, repo=repo, title=title, mtype=mtype, + text, workspace=workspace, repo=repo, session_id=session_id, title=title, mtype=mtype, scope=scope, importance=importance, metadata=metadata, retention_class=retention_class, retention_reason=retention_reason, # Dashboard intent is a local agent-protocol write. It may create a @@ -2351,6 +2497,7 @@ def intent_link(self, source_id: str, target_id: str, *, workspace: str, def intent_recall(self, query: str, *, intent: str = "recall", workspace: Optional[str] = None, repo: Optional[str] = None, + session_id: Optional[str] = None, mtypes: Optional[list] = None, k: int = 8, as_of: Optional[float] = None, valid_at: Optional[float] = None, @@ -2368,6 +2515,8 @@ def intent_recall(self, query: str, *, intent: str = "recall", intent, field="intent", max_chars=80, required=False ) or "recall" normalized = intent_clean.lower().replace("-", "_").replace(" ", "_") + route = self.resolve_workspace(workspace, repo=repo, session_id=session_id) + workspace, repo = route["workspace"], route["repo"] layers = { "explain": ["causal", "entity", "semantic"], "why": ["causal", "entity", "semantic"], @@ -2379,7 +2528,7 @@ def intent_recall(self, query: str, *, intent: str = "recall", "code": ["entity", "semantic"], }.get(normalized) out = self.recall( - query, workspace=workspace, repo=repo, mtypes=mtypes, k=k, + query, workspace=workspace, repo=repo, session_id=session_id, mtypes=mtypes, k=k, as_of=as_of, valid_at=valid_at, known_at=known_at, token_budget=token_budget, retrieval_profile=retrieval_profile, candidate_depth=candidate_depth, @@ -2388,7 +2537,8 @@ def intent_recall(self, query: str, *, intent: str = "recall", intent=intent_clean, graph_layers=layers, reinforce=reinforce, record_receipt=record_receipt, ) - response = {"operation": "recall", "intent": intent_clean, **out} + response = {"operation": "recall", "intent": intent_clean, **out, + "workspace": workspace, "repo": repo, "workspace_source": route["source"]} if normalized in {"locate_code", "code"} and workspace and repo: response["code"] = self.search_code( query, workspace=workspace, repo=repo, limit=k, @@ -4004,6 +4154,8 @@ def recall(self, query: str, *, workspace: Optional[str] = None, # A configured workspace binding or a bound dashboard user must never do a # workspace-less (global) recall — either case represents a tenant boundary. + route = self.resolve_workspace(workspace, repo=repo, session_id=session_id) + workspace, repo = route["workspace"], route["repo"] if not workspace and ( self.allowed_workspaces is not None or _authenticated_principal() is not None): @@ -4474,6 +4626,8 @@ def grounded_recall(self, query: str, *, workspace: Optional[str] = None, min_support = max(0.0, min(1.0, min_support)) mts = [_enum(m, MemoryType, "mtype") for m in mtypes] if mtypes else None + route = self.resolve_workspace(workspace, repo=repo, session_id=session_id) + workspace, repo = route["workspace"], route["repo"] if not workspace and ( self.allowed_workspaces is not None or _authenticated_principal() is not None): @@ -4573,7 +4727,7 @@ def grounded_recall(self, query: str, *, workspace: Optional[str] = None, return out # ── session lifecycle ─────────────────────────────────────────────────────── - def start_session(self, workspace: str, *, repo: Optional[str] = None, + def start_session(self, workspace: Optional[str] = None, *, repo: Optional[str] = None, agent: str = "", goal: str = "", force_new: bool = False) -> dict: """Open a session. If this repo has a prior *ended* session, its summary and unresolved ``open_threads`` come back as ``bootstrap`` — the concrete fix for @@ -4584,8 +4738,8 @@ def start_session(self, workspace: str, *, repo: Optional[str] = None, ``force_new=True`` deliberately branches even when every identity field matches. The lookup/create decision is one storage transaction, so concurrent retries cannot both insert a session.""" - ws = self._clean_ws(workspace) - rp = _clean_name(repo, field="repo") if repo else None + route = self.resolve_workspace(workspace, repo=repo, for_write=True) + ws, rp = route["workspace"], route["repo"] agent = _clean_text(agent, field="agent", max_chars=MAX_NAME_CHARS, required=False) goal = _clean_text(goal, field="goal", max_chars=MAX_TITLE_CHARS, required=False) wid = self._get_or_create_workspace(ws) @@ -4598,6 +4752,7 @@ def start_session(self, workspace: str, *, repo: Optional[str] = None, ) if reused: return {"session_id": sid, "workspace": ws, "repo": rp, + "workspace_source": route["source"], "goal": goal, "status": "active", "reused": True, "bootstrap": {}} bootstrap: dict = {} @@ -4612,6 +4767,7 @@ def start_session(self, workspace: str, *, repo: Optional[str] = None, "outcome": last.get("outcome") or "", } return {"session_id": sid, "workspace": ws, "repo": rp, "goal": goal, + "workspace_source": route["source"], "status": "active", "reused": False, "bootstrap": bootstrap} def end_session(self, session_id: str, *, summary: str = "", outcome: str = "", @@ -5775,7 +5931,7 @@ def merge_workspaces(self, source: str, target: str, *, actor: str = "user") -> # drop the duplicate), else just relabel. repo_remap: dict = {} src_repos = [dict(x) for x in c.execute( - "SELECT id, name FROM repos WHERE workspace_id=?", (wid_src,))] + "SELECT id, name, settings FROM repos WHERE workspace_id=?", (wid_src,))] def _remap_file_links(loser_repo: str, winner_repo: str, file: str) -> None: """Re-point memory↔code links from a losing file snapshot's symbols to @@ -5804,10 +5960,29 @@ def _remap_file_links(loser_repo: str, winner_repo: str, file: str) -> None: for r in src_repos: existing = c.execute( - "SELECT id FROM repos WHERE workspace_id=? AND name=?", (wid_dst, r["name"]) + "SELECT id, settings FROM repos WHERE workspace_id=? AND name=?", (wid_dst, r["name"]) ).fetchone() if existing: repo_remap[r["id"]] = existing["id"] + # Workspace merge intentionally moves the project destination. Keep + # every caller's selection when identical repo names collapse, while + # retaining the existing target policy for all unrelated settings. + try: + source_settings = json.loads(r["settings"] or "{}") + target_settings = json.loads(existing["settings"] or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValidationError("project routing settings are invalid") from exc + if not isinstance(source_settings, dict) or not isinstance(target_settings, dict): + raise ValidationError("project routing settings are invalid") + incoming = source_settings.get("workspace_routing", {}) + current = target_settings.get("workspace_routing", {}) + if (not isinstance(incoming, dict) or not isinstance(current, dict) + or any(value is not True for value in [*incoming.values(), *current.values()])): + raise ValidationError("project routing settings are invalid") + if incoming: + target_settings["workspace_routing"] = {**incoming, **current} + c.execute("UPDATE repos SET settings=? WHERE id=?", + (json.dumps(target_settings), existing["id"])) # ``code_files`` is keyed by (repo_id, file), so fold overlapping file # snapshots deterministically before the duplicate repo disappears. for code_file in [dict(x) for x in c.execute( @@ -6330,11 +6505,20 @@ def copy_workspace(self, source: str, new_name: Optional[str] = None, *, "SELECT * FROM repos WHERE workspace_id=?", (wid_src,))]: nrid = ids.new_id("repo") repo_remap[r["id"]] = nrid + # Personal routing choices belong to the original project destination; + # duplicating them would create an ambiguous second selection. + try: + copied_settings = json.loads(r["settings"] or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValidationError("project settings are invalid") from exc + if not isinstance(copied_settings, dict): + raise ValidationError("project settings are invalid") + copied_settings.pop("workspace_routing", None) c.execute( "INSERT INTO repos(id, workspace_id, name, root_path, vcs_remote, primary_lang, " "created_at, indexed_at, settings) VALUES (?,?,?,?,?,?,?,?,?)", (nrid, wid_dst, r["name"], r["root_path"], r["vcs_remote"], r["primary_lang"], - ts, r["indexed_at"], r["settings"])) + ts, r["indexed_at"], json.dumps(copied_settings))) for code_file in [dict(x) for x in c.execute( "SELECT * FROM code_files WHERE repo_id=?", (r["id"],))]: c.execute( @@ -7002,6 +7186,73 @@ def reorder_memories(self, ids: list, *, workspace: str, repo: Optional[str] = N c.commit() return {"workspace": workspace, "reordered": len(clean_ids)} + def _prepare_memory_move(self, workspace: str, target_workspace: str, + memory_ids: list): + from engraphis.core.relocation import MAX_MOVE_MEMORIES, prepare_move + + source = self._clean_ws(workspace) + target = self._clean_ws(target_workspace) + self._authorize_workspace_control(source) + self._authorize_workspace_control(target) + if source == target: + raise ValidationError("Choose a different destination workspace.") + source_id = self._lookup_workspace(source) + target_id = self._lookup_workspace(target) + if source_id is None or target_id is None: + raise ValidationError("Create both workspaces before moving memories.") + if not isinstance(memory_ids, list) or not 1 <= len(memory_ids) <= MAX_MOVE_MEMORIES: + raise ValidationError(f"Select between 1 and {MAX_MOVE_MEMORIES} memories.") + selected = [_clean_text(mid, field="memory_id", max_chars=MAX_NAME_CHARS) + for mid in memory_ids] + if len(set(selected)) != len(selected): + raise ValidationError("Select each memory only once.") + for mid in selected: + self._check_owns(mid, source_id, None) + self._assert_no_active_graph_job(source_id, target_id) + try: + plan = prepare_move(self.store, source_id, target_id, sorted(selected)) + except ValueError as exc: + raise ValidationError(str(exc)) from exc + # Related historical/session records are subject to the same authorization + # as the explicit selection. Never disclose another user's hidden history. + for record in plan.records: + self._check_owns(record.id, source_id, None) + for session in plan.sessions: + self._authorize_session(session) + return source, target, plan + + def preview_memory_move(self, *, workspace: str, target_workspace: str, + memory_ids: list) -> dict: + """Preview related records and blockers without creating or updating data.""" + with self.store.read_snapshot(): + source, target, plan = self._prepare_memory_move( + workspace, target_workspace, memory_ids, + ) + return {**plan.public(source, target), + "source_visibility": self._workspace_visibility(source)[0], + "target_visibility": self._workspace_visibility(target)[0]} + + def move_memories(self, *, workspace: str, target_workspace: str, memory_ids: list, + preview_token: str, confirmed: bool = False, + actor: str = "user") -> dict: + """Apply the exact reviewed component atomically; preserve record identities.""" + from engraphis.core.relocation import apply_move + + if confirmed is not True or not isinstance(preview_token, str) or not preview_token: + raise ValidationError("Preview and confirm this selection before moving it.") + actor = _clean_text(actor, field="actor", max_chars=MAX_NAME_CHARS, + required=False) or "user" + with self.store.write_transaction(): + source, target, plan = self._prepare_memory_move(workspace, target_workspace, memory_ids) + if preview_token != plan.preview_token: + raise MemoryConflict("The move preview is stale. Preview this selection again.", + code="memory_move_conflict") + if plan.blockers: + raise ValidationError("Resolve the move preview blockers before continuing.") + apply_move(self.store, plan, actor=actor) + return {"source": source, "workspace": target, + "moved": [record.id for record in plan.records], "count": len(plan.records)} + def memory_history(self, memory_id: str, *, workspace: str, repo: Optional[str] = None, limit: int = 50, cursor: str = "", valid_at: Optional[float] = None, @@ -8042,6 +8293,20 @@ def scrub_json(raw: Any, default: Any) -> Any: repo["vcs_remote"] = None for repo in repos: repo["settings"] = scrub_json(repo.get("settings"), {}) + # Routing is local caller configuration, not portable workspace data. + # Exclude every principal's selection even from owner/admin exports. + try: + portable_settings = json.loads(repo["settings"] or "{}") + except (TypeError, ValueError, RecursionError) as exc: + raise ValidationError("project settings are invalid") from exc + if not isinstance(portable_settings, dict): + raise ValidationError("project settings are invalid") + if "workspace_routing" in portable_settings: + portable_settings.pop("workspace_routing") + repo["settings"] = json.dumps( + portable_settings, sort_keys=canonical, + separators=(",", ":") if canonical else None, ensure_ascii=False, + ) for session in sessions: session["open_threads"] = scrub_json(session.get("open_threads"), []) for memory in memories: diff --git a/integrations/commandcode/session_start_hook.py b/integrations/commandcode/session_start_hook.py index 35ec0e31..3c3f0324 100644 --- a/integrations/commandcode/session_start_hook.py +++ b/integrations/commandcode/session_start_hook.py @@ -12,6 +12,7 @@ import sys import time import urllib.request +from pathlib import Path MCP_URL_DEFAULT = "http://127.0.0.1:8711/mcp" BUDGET_SECONDS_DEFAULT = 4.0 @@ -164,21 +165,31 @@ def notify_initialized(deadline, session_id=None, url=None): return session_id -def extract_context(result): - """Defensively pull the context text out of a tools/call result.""" +def extract_session_result(result): + """Read the context and actual destination from a tools/call result.""" + if not isinstance(result, dict) or result.get("isError"): + return "", None content = result.get("content") if isinstance(result, dict) else None if not content or not isinstance(content[0], dict): - return "" + return "", None text = content[0].get("text") if not isinstance(text, str) or not text.strip(): - return "" + return "", None try: parsed = json.loads(text) except ValueError: - return text.strip() + return text.strip(), None if isinstance(parsed, dict) and isinstance(parsed.get("context"), str): - return parsed["context"].strip() - return "" + workspace = parsed.get("workspace") + if not isinstance(workspace, str) or not workspace.strip(): + workspace = None + return parsed["context"].strip(), workspace + return "", None + + +def extract_context(result): + """Compatibility helper for callers that only need the context text.""" + return extract_session_result(result)[0] def session_context(repo, workspace, deadline, mcp_url=None): @@ -205,39 +216,51 @@ def session_context(repo, workspace, deadline, mcp_url=None): session_id = ( notify_initialized(deadline, session_id=session_id, url=mcp_url) or session_id ) + arguments = { + "action": "start", + "repo": repo, + # Context is only returned when a goal is supplied. + "goal": ( + "Resume work on this repository: surface relevant durable " + "decisions, preferences, procedures, and open threads." + ), + } + if workspace is not None: + # An explicit override takes precedence over the saved project mapping. + # Omit the argument otherwise so the server can resolve that mapping. + arguments["workspace"] = workspace result, _ = rpc( "tools/call", { "name": "engraphis_session", - "arguments": { - "action": "start", - "workspace": workspace, - "repo": repo, - # Context is only returned when a goal is supplied. - "goal": ( - "Resume work on this repository: surface relevant durable " - "decisions, preferences, procedures, and open threads." - ), - }, + "arguments": arguments, }, 2, deadline, session_id=session_id, url=mcp_url, ) - return extract_context(result) + return extract_session_result(result) def resolve_workspace(cwd, env): - """Honor ENGRAPHIS_HOOK_WORKSPACE; otherwise fall back to the repo basename. + """Return only an explicit override; the server resolves project mappings.""" + override = (env.get("ENGRAPHIS_HOOK_WORKSPACE") or "").strip() + return override or None - Workspace names are bounded (``_clean_name`` in the service refuses empties and - overlong inputs), so we drop the override silently if it would be rejected. + +def resolve_repo(cwd): + """Use the nearest Git root name, including a worktree's .git file. + + Starting Command Code in a source subdirectory must select the same saved + project mapping as starting at its repository root. Non-Git folders retain + their own name as the project identifier. """ - override = (env.get("ENGRAPHIS_HOOK_WORKSPACE") or "").strip() - if override: - return override - return os.path.basename(os.path.normpath(str(cwd))) + path = Path(str(cwd)).resolve() + for candidate in (path, *path.parents): + if (candidate / ".git").exists(): + return candidate.name + return path.name def _compress_prose_to_terse(context: str, max_chars: int) -> str: @@ -293,7 +316,11 @@ def _compress_prose_to_terse(context: str, max_chars: int) -> str: def build_additional_context(context, workspace, max_context_chars=None, format="prose"): if max_context_chars is None: max_context_chars = MAX_CONTEXT_CHARS - header = CONTEXT_HEADER.format(workspace=workspace) + header = ( + CONTEXT_HEADER.format(workspace=workspace) + if workspace + else "Durable memory (engraphis) relevant to this repo:\n" + ) footer = CONTEXT_FOOTER body_budget = max_context_chars - len(header) - len(footer) if body_budget <= 0: @@ -335,10 +362,12 @@ def main(): if name is not None and name != "SessionStart": return 0 cwd = payload.get("cwd") or os.environ.get("COMMANDCODE_PROJECT_DIR") or os.getcwd() - repo = os.path.basename(os.path.normpath(str(cwd))) - workspace = resolve_workspace(cwd, os.environ) try: - context = session_context(repo, workspace, deadline, mcp_url=mcp_url) + repo = resolve_repo(cwd) + workspace = resolve_workspace(cwd, os.environ) + context, resolved_workspace = session_context( + repo, workspace, deadline, mcp_url=mcp_url + ) except Exception: return 0 if not context: @@ -348,7 +377,7 @@ def main(): "hookSpecificOutput": { "hookEventName": "SessionStart", "additionalContext": build_additional_context( - context, workspace, max_context_chars, format=fmt + context, resolved_workspace or workspace, max_context_chars, format=fmt ), }, } diff --git a/integrations/pi/README.md b/integrations/pi/README.md index 5930548f..ef2c2f29 100644 --- a/integrations/pi/README.md +++ b/integrations/pi/README.md @@ -85,6 +85,9 @@ project MCP configuration files or embed database paths and credentials in sourc Set `ENGRAPHIS_WORKSPACE` and (optionally) `ENGRAPHIS_REPO` to provide default scopes for routine Smart tools. Model-supplied values always take precedence. +To follow a saved project default, set only `ENGRAPHIS_REPO` and leave +`ENGRAPHIS_WORKSPACE` unset. A supplied session inherits its own workspace and repo. +See [workspace setup](../../docs/WORKSPACE_ORGANIZATION.md). ## Trust model diff --git a/integrations/pi/src/generated-contract.ts b/integrations/pi/src/generated-contract.ts index a88516c3..a8c1ceea 100644 --- a/integrations/pi/src/generated-contract.ts +++ b/integrations/pi/src/generated-contract.ts @@ -361,11 +361,19 @@ export const SMART_SCHEMAS = { "type": "string" }, "workspace": { - "default": "default", - "description": "Memory workspace.", - "maxLength": 200, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Chosen workspace; omit for session or project routing.", + "title": "Workspace" } }, "required": [ @@ -462,11 +470,19 @@ export const SMART_SCHEMAS = { "type": "integer" }, "workspace": { - "default": "default", - "description": "Workspace.", - "maxLength": 200, - "title": "Workspace", - "type": "string" + "anyOf": [ + { + "maxLength": 200, + "minLength": 1, + "type": "string" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Chosen workspace; omit for saved project routing.", + "title": "Workspace" } }, "title": "engraphis_sessionArguments", diff --git a/integrations/pi/src/tool-schemas.ts b/integrations/pi/src/tool-schemas.ts index 38f32669..24ef505f 100644 --- a/integrations/pi/src/tool-schemas.ts +++ b/integrations/pi/src/tool-schemas.ts @@ -21,14 +21,18 @@ export function applyScopeDefaults( extra: Record = {}, ): Record { const result = { ...extra, ...params }; + // A supplied session already owns its workspace and repo. Injecting runtime + // defaults would override that routing or create an unrelated scope conflict. + if (result.session_id) return result; if (result.workspace === undefined && config.defaultWorkspace) { result.workspace = config.defaultWorkspace; } if ( result.repo === undefined && config.defaultRepo && - config.defaultWorkspace && - result.workspace === config.defaultWorkspace + (config.defaultWorkspace + ? result.workspace === config.defaultWorkspace + : result.workspace == null) ) { result.repo = config.defaultRepo; } diff --git a/integrations/pi/test/config.test.ts b/integrations/pi/test/config.test.ts index 8045c4e9..83a6d7b4 100644 --- a/integrations/pi/test/config.test.ts +++ b/integrations/pi/test/config.test.ts @@ -135,7 +135,7 @@ test("applies configured repo only inside its configured workspace", () => { { query: "decision" }, { command: "engraphis-mcp", defaultRepo: "backend", environment: {} }, ), - { query: "decision" }, + { query: "decision", repo: "backend" }, ); assert.deepEqual( applyScopeDefaults( @@ -151,6 +151,15 @@ test("applies configured repo only inside its configured workspace", () => { ); }); +test("session scope wins over configured defaults while explicit values remain intact", () => { + const config = { command: "engraphis-mcp", defaultRepo: "backend", defaultWorkspace: "acme", environment: {} }; + assert.deepEqual(applyScopeDefaults({ session_id: "ses_other" }, config), { session_id: "ses_other" }); + assert.deepEqual(applyScopeDefaults({ session_id: "ses_other", workspace: "default", repo: null }, config), + { session_id: "ses_other", workspace: "default", repo: null }); + assert.deepEqual(applyScopeDefaults({ repo: null }, { ...config, defaultWorkspace: undefined }), { repo: null }); + assert.deepEqual(applyScopeDefaults({ workspace: "other" }, { ...config, defaultWorkspace: undefined }), { workspace: "other" }); +}); + test("publishes canonical Engraphis repository metadata", async () => { const packageJson = JSON.parse( await readFile(new URL("../package.json", import.meta.url), "utf8"), diff --git a/integrations/prime_agent/README.md b/integrations/prime_agent/README.md index 2370f17a..912ef833 100644 --- a/integrations/prime_agent/README.md +++ b/integrations/prime_agent/README.md @@ -72,6 +72,11 @@ pip install engraphis-prime-agent ## Quick start +To follow a project's saved workspace default, use `PrimeAgentFleet(repo="backend")` +with no workspace override, or set only `ENGRAPHIS_REPO`. Each session keeps the server's +resolved workspace; the next session can follow a changed project default. An explicit +workspace, including `"default"`, still wins. See [workspace setup](../../docs/WORKSPACE_ORGANIZATION.md). + ```python import asyncio from engraphis_prime_agent import PrimeAgentFleet diff --git a/integrations/prime_agent/src/engraphis_prime_agent/_contract.py b/integrations/prime_agent/src/engraphis_prime_agent/_contract.py index 39907578..28c08dc1 100644 --- a/integrations/prime_agent/src/engraphis_prime_agent/_contract.py +++ b/integrations/prime_agent/src/engraphis_prime_agent/_contract.py @@ -219,11 +219,14 @@ 'maxLength': 1000, 'title': 'Subject Key', 'type': 'string'}, - 'workspace': {'default': 'default', - 'description': 'Memory workspace.', - 'maxLength': 200, - 'title': 'Workspace', - 'type': 'string'}}, + 'workspace': {'anyOf': [{'maxLength': 200, + 'minLength': 1, + 'type': 'string'}, + {'type': 'null'}], + 'default': None, + 'description': 'Chosen workspace; omit for ' + 'session or project routing.', + 'title': 'Workspace'}}, 'required': ['content'], 'title': 'smart_rememberArguments', 'type': 'object'}, @@ -281,11 +284,14 @@ 'minimum': 0, 'title': 'Token Budget', 'type': 'integer'}, - 'workspace': {'default': 'default', - 'description': 'Workspace.', - 'maxLength': 200, - 'title': 'Workspace', - 'type': 'string'}}, + 'workspace': {'anyOf': [{'maxLength': 200, + 'minLength': 1, + 'type': 'string'}, + {'type': 'null'}], + 'default': None, + 'description': 'Chosen workspace; omit for ' + 'saved project routing.', + 'title': 'Workspace'}}, 'title': 'engraphis_sessionArguments', 'type': 'object'}, 'engraphis_update_memory': {'properties': {'actor': {'default': 'user', diff --git a/integrations/prime_agent/src/engraphis_prime_agent/agent.py b/integrations/prime_agent/src/engraphis_prime_agent/agent.py index 539d7a32..f646776b 100644 --- a/integrations/prime_agent/src/engraphis_prime_agent/agent.py +++ b/integrations/prime_agent/src/engraphis_prime_agent/agent.py @@ -51,11 +51,11 @@ def __init__( self.name = name.strip() self.client = client self.config = config - # Workspace precedence: explicit per-agent kwarg > config default. - # > the literal "default" placeholder so the Smart server always - # sees an explicit workspace (the "default" workspace is the - # server's own well-known scope for the Smart MCP gateway). - self.workspace = workspace or config.default_workspace or "default" + # Leave an unconfigured workspace omitted so saved project routing applies. + # Keep the requested default separate from a session's resolved workspace: + # a later session must be able to follow a changed project mapping. + self._requested_workspace = workspace if workspace is not None else config.default_workspace + self.workspace = self._requested_workspace # Repo precedence: explicit per-agent kwarg > config default > sub-agent # name. A single effective repo must be used for both session creation # and the tool-call defaults — a session opened in `researcher` while @@ -120,7 +120,7 @@ async def start_session( # (and concurrent get_tool() callers that read self._session_id). async with self._session_lock: self._ensure_open() - requested_workspace = self.workspace if workspace is None else workspace + requested_workspace = self._requested_workspace if workspace is None else workspace requested_repo = self.repo if isinstance(repo, _UnsetRepo) else repo requested_agent = self._session_agent if agent is None else agent requested_goal = self.goal if goal is None else goal @@ -148,7 +148,8 @@ async def start_session( if requested_repo is not None: args["repo"] = requested_repo response = await self.client.call_tool("engraphis_session", args) - session_id = self._extract_session_id(response) + details = self._extract_session_details(response) + session_id = details.get("session_id") or details.get("sessionId") if not session_id: raise EngraphisMcpToolError( f"engraphis_session(start) for agent={self.name!r} returned no session_id." @@ -165,7 +166,8 @@ async def start_session( # the now-cached session) and double the latency. self._last_session_response = response self._session_agent = requested_agent - self.workspace = requested_workspace + self._requested_workspace = requested_workspace + self.workspace = details.get("workspace") or requested_workspace self.repo = requested_repo self.goal = requested_goal self.token_budget = requested_budget @@ -196,6 +198,7 @@ async def end_session( self._session_id = None self._last_session_response = None self._tools = None + self.workspace = self._requested_workspace end_args: dict[str, Any] = { "action": "end", "agent": self._session_agent if agent is None else agent, @@ -476,6 +479,11 @@ def _ensure_open(self) -> None: @staticmethod def _extract_session_id(response: dict[str, Any]) -> str | None: + details = EngraphisPrimeAgent._extract_session_details(response) + return details.get("session_id") or details.get("sessionId") + + @staticmethod + def _extract_session_details(response: dict[str, Any]) -> dict[str, Any]: for block in response.get("content", []) or []: text = block.get("text") if not isinstance(text, str): @@ -487,8 +495,8 @@ def _extract_session_id(response: dict[str, Any]) -> str | None: if isinstance(parsed, dict): sid = parsed.get("session_id") or parsed.get("sessionId") if isinstance(sid, str) and sid: - return sid - return None + return parsed + return {} class PrimeAgentFleet: diff --git a/integrations/prime_agent/src/engraphis_prime_agent/tools.py b/integrations/prime_agent/src/engraphis_prime_agent/tools.py index 31db0b01..ec286d16 100644 --- a/integrations/prime_agent/src/engraphis_prime_agent/tools.py +++ b/integrations/prime_agent/src/engraphis_prime_agent/tools.py @@ -153,6 +153,9 @@ def apply_scope_defaults( """ result: dict[str, Any] = dict(extra or {}) result.update(params) + # Sessions carry their own scope, including explicit caller overrides. + if result.get("session_id"): + return result declared = set(_declared_property_names(schema)) if schema else None if ( "workspace" not in result @@ -163,8 +166,8 @@ def apply_scope_defaults( if ( "repo" not in result and config.default_repo - and config.default_workspace - and result.get("workspace") == config.default_workspace + and (result.get("workspace") == config.default_workspace + if config.default_workspace else result.get("workspace") is None) and (declared is None or "repo" in declared) ): result["repo"] = config.default_repo diff --git a/integrations/prime_agent/tests/test_register_and_repo.py b/integrations/prime_agent/tests/test_register_and_repo.py index 9baa523d..47e3ffc0 100644 --- a/integrations/prime_agent/tests/test_register_and_repo.py +++ b/integrations/prime_agent/tests/test_register_and_repo.py @@ -57,6 +57,54 @@ def test_agent_repo_falls_back_to_name_when_no_default() -> None: assert agent.repo == "researcher" +@pytest.mark.asyncio +async def test_project_routing_follows_new_sessions_and_preserves_explicit_choices(fake_mcp_server): + from engraphis.service import MemoryService + from engraphis_prime_agent.agent import EngraphisPrimeAgent + + service = MemoryService.create(":memory:") + for name in ("one", "two"): + service.create_workspace(name) + service.set_workspace_routing("one", repo="api") + + async def handler(name, args): + if name == "engraphis_session" and args.get("action") == "end": + result = service.end_session(args["session_id"], summary=args.get("summary", "")) + elif name == "engraphis_session": + result = service.start_session(workspace=args.get("workspace"), repo=args.get("repo"), + agent=args.get("agent", ""), goal=args.get("goal", "")) + else: + assert name == "engraphis_remember" + result = service.remember(**args) + return {"content": [{"type": "text", "text": json.dumps(result)}]} + + fake_mcp_server.tool_handler = handler + config = EngraphisRuntimeConfig(command="ignored", default_repo="api", environment={}) + client = EngraphisMcpClient(config) + await client.connect() + try: + agent = EngraphisPrimeAgent("researcher", client, config) + await agent.start_session() + assert agent.workspace == "one" + assert "workspace" not in fake_mcp_server.call_log[-1][1] + await agent.call("engraphis_remember", {"content": "Keep the project convention."}) + assert service.store.conn.execute("SELECT workspace_id FROM memories").fetchone()[0] == service._lookup_workspace("one") + await agent.end_session() + service.set_workspace_routing("two", repo="api") + await agent.start_session() + assert agent.workspace == "two" + other = service.start_session("one", repo="other")["session_id"] + await agent.call("engraphis_remember", {"content": "A caller-selected session.", "session_id": other}) + assert "workspace" not in fake_mcp_server.call_log[-1][1] + assert "repo" not in fake_mcp_server.call_log[-1][1] + pinned = EngraphisPrimeAgent("pinned", client, config, workspace="default") + await pinned.start_session() + assert pinned.workspace == "default" + finally: + await client.close() + service.close() + + # ---- Fix 2: register() wrappers lazily start the session ------------------ diff --git a/integrations/prime_agent/tests/test_tools.py b/integrations/prime_agent/tests/test_tools.py index 52b496ba..8968e601 100644 --- a/integrations/prime_agent/tests/test_tools.py +++ b/integrations/prime_agent/tests/test_tools.py @@ -157,6 +157,18 @@ def test_apply_scope_defaults_skips_repo_when_workspace_overridden() -> None: assert "repo" not in out +def test_repo_only_defaults_allow_routing_without_overriding_sessions() -> None: + config = EngraphisRuntimeConfig(command="x", default_repo="backend") + assert apply_scope_defaults({}, config) == {"repo": "backend"} + assert apply_scope_defaults({"repo": None}, config) == {"repo": None} + assert apply_scope_defaults({"workspace": "other"}, config) == {"workspace": "other"} + assert apply_scope_defaults({"session_id": "ses_other"}, config) == {"session_id": "ses_other"} + configured = EngraphisRuntimeConfig(command="x", default_repo="backend", default_workspace="acme") + assert apply_scope_defaults({"session_id": "ses_other"}, configured) == {"session_id": "ses_other"} + explicit = {"session_id": "ses_other", "workspace": "default", "repo": None} + assert apply_scope_defaults(explicit, configured) == explicit + + def test_apply_scope_defaults_merges_extra() -> None: config = EngraphisRuntimeConfig(command="x") out = apply_scope_defaults({}, config, extra={"actor": "user"}) diff --git a/skills/engraphis-memory/SKILL.md b/skills/engraphis-memory/SKILL.md index 52d4290f..1b05ce2d 100644 --- a/skills/engraphis-memory/SKILL.md +++ b/skills/engraphis-memory/SKILL.md @@ -75,10 +75,20 @@ Every memory carries a **scope** (visibility) and a **type** (kind). Getting the `workspace → repo → session → memory`. Choose: -- **workspace**: the org or product (`acme`). Always required on writes. +- **workspace**: the client, org, product, or area of work (`acme`). Every write belongs to one; + routine MCP calls can resolve an omitted value from a supplied session or saved repo mapping. - **repo**: the repository (`backend`). Omit only for genuinely workspace-wide facts. - **session**: one unit of work; pass its `session_id` so its memories group and resume. +Honor an explicit user workspace choice. Otherwise use the project's saved mapping by supplying +its stable `repo` name and omitting `workspace`; check the resolved workspace returned at session +start. Keep using that `session_id` for recall and remember. Explicit `workspace="default"` +overrides the mapping, so do not insert it as boilerplate. Without a session or mapping, new +sessions and writes retain the `default` fallback. A supplied session must be authorized, and +conflicting explicit workspace/repo arguments fail rather than silently reroute. Memory types +do not choose workspaces. Discover the workspace-list or project-routing action when setup is +needed; use its returned schema and executor. + Pick the **narrowest supported scope that is still reusable**: usually `scope="repo"`, or `scope="workspace"` for deliberately shared cross-repo facts. `scope="user"` is reserved and rejected until memories carry an owner identity; it is not a private personal scope. Full rules, diff --git a/skills/engraphis-memory/references/SCOPING.md b/skills/engraphis-memory/references/SCOPING.md index c36068bc..72cccce3 100644 --- a/skills/engraphis-memory/references/SCOPING.md +++ b/skills/engraphis-memory/references/SCOPING.md @@ -19,7 +19,7 @@ is covered in [CONVENTIONS.md](CONVENTIONS.md); this file is about scope. ## The hierarchy ``` -workspace org or product ("acme") : always required on a write +workspace org or product ("acme") : every write belongs to one └─ repo a repository ("backend") : omit only for workspace-wide facts └─ session one unit of work (session_id) : from engraphis_session(action="start") └─ memory : the fact itself @@ -29,6 +29,31 @@ Names are **stable identifiers**, not prose. Reuse the exact same `workspace`/`r time: recall filters match on them literally. Pick the repository's canonical name for `repo` (what you'd `git clone`), and a durable org/product name for `workspace`. +## Choose the workspace for this work + +Use an explicit user or project workspace choice when one is provided. Session starts can omit +`workspace` to use the saved mapping for their `repo`, with `default` as the fallback. Routine +remember and recall calls first resolve an omitted workspace from an authorized supplied +`session_id`, then the saved repo mapping. Without either, writes use `default`; recall with a +repo but no mapping also uses `default`. Local recall with no workspace, repo, or session retains +its broad search behavior. + +Explicit workspace values, including `"default"`, win over saved mappings. A workspace or repo +that conflicts with a supplied session is rejected. Invalid or unauthorized sessions never +fall back. Starting a session does not create a server-global current workspace: retain the +returned `session_id` and pass it on later calls. The session response names the destination. + +Use the dashboard's connection setup to save a repo-to-workspace mapping and copy project +instructions, or discover the corresponding project-routing capability. Authenticated callers +have separate saved mappings; standalone local clients share the local mapping. The dashboard +workspace selector alone does not change an agent's arguments. A changed mapping affects future +calls that use it, while existing sessions keep their original destination. + +Use stable workspace names by client, product, or area of work. The four memory types describe +the memory, not its routing: changing `mtype` never moves it to another workspace. Reorganize +existing records through an explicit, previewed move rather than changing routing and assuming +past memories moved too. See the repo's `docs/WORKSPACE_ORGANIZATION.md` for the full workflow. + ## What each scope means - **`session`**: visible only within one session. Transient working state ("currently editing the @@ -104,6 +129,7 @@ never label shared workspace storage as a private personal scope. `engraphis_recall` is hierarchy-aware. A repo context sees that repo plus its workspace ancestors; a session context sees that exact session plus its repo/workspace ancestors. Other sessions never leak into repo/workspace recall. Historical `user` rows can still appear as workspace ancestors -for compatibility; they are not owner-isolated. A `repo` or `session_id` filter requires a -`workspace`. If recall returns no results and a `note` says the workspace/repo/session is unknown, -you simply have not written there yet. +for compatibility; they are not owner-isolated. Routine MCP calls can resolve the workspace from +their session or repo mapping as described above. If recall returns no results and a `note` says +the workspace/repo is unknown, you simply have not written there yet. Unknown or unauthorized +session IDs are errors. diff --git a/skills/engraphis-memory/references/TOOLS.md b/skills/engraphis-memory/references/TOOLS.md index ec6fbd41..32e17328 100644 --- a/skills/engraphis-memory/references/TOOLS.md +++ b/skills/engraphis-memory/references/TOOLS.md @@ -1,7 +1,7 @@ # Engraphis MCP tools: reference -The Classic server registers 35 direct tools and the Smart gateway registers nine; two names -overlap, for 42 distinct public tool names. Parameters are `name (type, default)`: no default +The Classic server registers 38 direct tools and the Smart gateway registers nine; two names +overlap, for 45 distinct public tool names. Parameters are `name (type, default)`: no default means required. Every tool returns a JSON string; on failure it returns `"Error: "` instead of raising. Governance tools (`retire`/`pin`/`correct`/`link`) verify the memory actually belongs to the @@ -19,7 +19,9 @@ Group index: [Write](#write) · [Recall and read](#recall-and-read) · [History] Store a memory so it can be recalled later, across turns, sessions, and repos. - `content (str)`: the fact/decision/convention/procedure. -- `workspace (str, "default")`: top-level scope (org/product), e.g. `"acme"`. +- `workspace (str, None)`: top-level scope (org/product), e.g. `"acme"`. Omitted inherits an + authorized supplied session, then a saved repo mapping, then `"default"`. Explicit values + override mappings; a workspace/repo mismatch with a supplied session is rejected. - `repo (str, None)`: repository scope; omit for workspace-wide facts. - `session_id (str, None)`: from `engraphis_start_session`, if this belongs to a session. - `mtype (str, "semantic")`: `semantic` | `episodic` | `procedural` | `working`. See CONVENTIONS. @@ -53,7 +55,8 @@ Store a memory so it can be recalled later, across turns, sessions, and repos. `date` | `enum` | `json`. Ambiguous repeated values require a source span through the Python/service API. -Returns `{id, workspace, repo, scope, mtype, stored:true, op}` where `op` is `add` | `noop` | +Returns `{id, workspace, workspace_source, repo, scope, mtype, stored:true, op}` where +`workspace_source` is `explicit` | `session` | `project` | `default`, and `op` is `add` | `noop` | `invalidate` (with `superseded:[old_id,…]`) | `relate` (with `related_to`; both claims remain) | `quarantined` (retained for governance review but excluded from normal recall, with content-free `policy` and `reasons` codes). @@ -135,15 +138,21 @@ retrieval_profile, response_mode, receipt}`. `usage` always names `budget_tokens `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and `token_counter`. +With no explicit workspace, a supplied authorized session provides its workspace/repo; otherwise +the supplied repo uses its saved mapping or `"default"`. Explicit mismatches with a session are +errors. Local calls without any workspace, repo, or session retain broad recall. + ### `engraphis_recall` Retrieve the memories most relevant to a query (hybrid vector + lexical + graph, fused + reranked). It is the full-response compatibility surface; prefer `engraphis_recall_context` for a prompt. - `query (str)`: natural language, e.g. `"how do we handle auth?"`. - `workspace (str, None)`: restrict to this workspace. -- `repo (str, None)`: restrict to this repo (requires `workspace`). -- `session_id (str, None)`: exact session context (requires `workspace`); inherits repo/workspace - ancestors while excluding every other session. +- `repo (str, None)`: restrict to this repo; an omitted workspace uses its saved mapping or + `"default"` when unmapped. +- `session_id (str, None)`: exact authorized session context; an omitted workspace/repo inherits + from it. Includes repo/workspace ancestors while excluding every other session. Explicit + mismatches and invalid/unauthorized sessions are errors, never fallback requests. - `mtypes (list[str], None)`: restrict to these memory types. - `k (int, 8)`: max results, `1..50`. - `token_budget (int, None)`: hard packed-context budget; omitted uses the engine default. @@ -429,9 +438,12 @@ Returns `{link_id, symbol_id, memory_id, relation, workspace, repo}`. ### `engraphis_start_session` Open a session to group this work's memories and enable cross-session resume. -- `workspace (str)`, `repo (str, None)`, `agent (str, "")` (e.g. `"claude-code"`), +- `workspace (str, None)`, `repo (str, None)`, `agent (str, "")` (e.g. `"claude-code"`), `goal (str, "")`, `force_new (bool, false)`. +An explicit workspace wins; otherwise the saved mapping for `repo` is used, then `"default"`. +The result reports `workspace_source` as `explicit`, `project`, or `default`. + By default this is idempotent per exact `(workspace, repo, authenticated user, agent, goal)` task identity. Different users, agents, or goals automatically open distinct sessions. An exact retry returns the same active session with `reused:true`. Use `force_new=true` only to branch a second @@ -515,13 +527,16 @@ controls are discoverable rather than routine. Start or resume a session, or end it with a next-session handoff. - `action (str, "start")`: `start` or `end`. -- `workspace (str, "default")`, `repo (str, None)`, `agent (str, "")`, `goal (str, "")`. +- `workspace (str, None)`, `repo (str, None)`, `agent (str, "")`, `goal (str, "")`. - `session_id (str, "")`: required when `action="end"`. - `summary (str, "")`, `outcome (str, "")`, `open_threads (list[str], None)`: end-session handoff. - `force_new (bool, false)`: start a new session instead of reusing an exact active task. - `token_budget (int, 512)`: bounded goal context, `0..32768`. -Returns a bounded session/bootstrap or end-session handoff response. +Returns a bounded session/bootstrap or end-session handoff response. Starts use an explicit +workspace, then the saved repo mapping, then `"default"`, and report `workspace_source` with +the resolved `workspace` and `repo`. Keep using the returned `session_id` on remember and recall +calls; there is no server-global current session. ### `engraphis_discover_actions` Return the exact schemas needed for a small set of matching advanced capabilities. @@ -578,6 +593,32 @@ Returns scoped review records without exposing pending/quarantined bodies to an ## Ops +### `engraphis_list_workspaces` +List workspaces visible to the current caller so an agent can select a destination. + +No parameters. Returns `{workspaces:[...]}` using the normal workspace-list records. This is +read-only and available through Smart discovery's read executor. + +### `engraphis_get_workspace_routing` +Read the current caller's saved workspace destination for an exact repo name. + +- `repo (str)`: stable project identifier supplied on the agent's MCP calls. + +Returns `{repo, workspace, configured, source}`. A saved mapping returns `configured:true` and +`source:"project"`; an unmapped repo returns `workspace:null`, `configured:false`, and +`source:"default"`. This is read-only; it does not create the fallback workspace. + +### `engraphis_set_workspace_routing` +Save or remove the current caller's repo-to-workspace association. + +- `workspace (str)`, `repo (str)`, `enabled (bool, true)`. + +Returns the same routing shape as `engraphis_get_workspace_routing`. Use `enabled:false` to +remove the association for that destination. The destination must be accessible. Mappings live +in the shared database and are scoped to the authenticated caller or standalone local context. +Explicit workspace arguments and supplied sessions retain precedence over the saved mapping. +Use Smart discovery and the action executor to change routing; this is not a read action. + ### `engraphis_receipts` List content-free, SHA-256-chained operation receipts for a workspace. diff --git a/tests/e2e/workspace-routing.spec.js b/tests/e2e/workspace-routing.spec.js new file mode 100644 index 00000000..d91b36ca --- /dev/null +++ b/tests/e2e/workspace-routing.spec.js @@ -0,0 +1,265 @@ +const { test, expect } = require('@playwright/test'); +const AxeBuilder = require('@axe-core/playwright').default; + +const source = 'default'; +const destination = 'client "Acme" '; +const alternative = 'research'; +const project = 'app "quoted" '; + +async function mockWorkspaceApi(page, options = {}) { + const calls = { routing: [], previews: [], moves: [] }; + const mappings = new Map(); + const current = { id: 'mem_current', title: 'Database decision', content: 'Use Postgres.', scope: 'repo', repo_name: project, memory_type: 'semantic' }; + const history = { id: 'mem_history', title: 'Previous database decision', related: true }; + const other = { id: 'mem_other', title: 'Unrelated work', content: 'Keep this in the original workspace.', memory_type: 'semantic' }; + const memories = { [source]: [current, other], [destination]: [], [alternative]: [] }; + await page.addInitScript(() => { + Object.defineProperty(navigator, 'clipboard', { configurable: true, value: { + writeText: async value => { window.__copiedWorkspaceInstructions = value; }, + } }); + }); + await page.route('**/api/**', async route => { + const request = route.request(); + const url = new URL(request.url()); + const path = url.pathname.replace(/^\/api/, ''); + const body = request.method() === 'POST' ? JSON.parse(request.postData() || '{}') : null; + const workspace = url.searchParams.get('workspace') || source; + const ok = payload => route.fulfill({ status: 200, contentType: 'application/json', body: JSON.stringify(payload) }); + if (path === '/bootstrap') return ok({ + workspaces: [source, destination, alternative].map(name => ({ name, memories: memories[name].length, visibility: name === source ? 'personal' : 'shared' })), + license: { plan: 'local', features: [], known_features: {}, trial: {} }, + stats: { memories: 2, workspaces: 3, sessions: 0 }, embedder: { semantic: false }, + }); + if (path === '/stats') return ok({ memories: memories[workspace].length, total_rows: memories[workspace].length, by_type: {} }); + if (path === '/repos') return ok({ repos: [{ id: 'repo_project', name: project }, { id: 'repo_other', name: 'another-project' }] }); + if (path === '/memories') { + const query = (url.searchParams.get('q') || '').toLowerCase(); + const values = memories[workspace].filter(memory => !query || memory.title.toLowerCase().includes(query)); + return ok({ workspace, memories: values, total_count: values.length }); + } + if (path === '/workspace-routing') { + const repo = body ? body.repo : url.searchParams.get('repo'); + if (body) { + calls.routing.push(body); + if (body.enabled) mappings.set(repo, body.workspace); + else mappings.delete(repo); + } else if (options.deferRouting) await options.deferRouting(repo); + return ok({ repo, workspace: mappings.get(repo) || null, configured: mappings.has(repo), source: 'project' }); + } + if (path === '/memories/move-preview') { + calls.previews.push(body); + if (options.deferPreview) await options.deferPreview(body); + return ok({ + source: body.workspace, target: body.target_workspace, requested_ids: body.memory_ids, + source_visibility: 'personal', target_visibility: 'shared', + memory_ids: [...body.memory_ids, history.id], count: body.memory_ids.length + 1, related_count: 1, + memories: [{ id: current.id, title: current.title, related: false }, history], + sessions: 1, graph_edges: 2, repos: [project], + blockers: options.blockers || [], can_move: !(options.blockers || []).length, + preview_token: 'preview-for-' + body.target_workspace, + }); + } + if (path === '/memories/move') { + calls.moves.push(body); + if (options.moveConflict) return route.fulfill({ status: 409, contentType: 'application/json', body: JSON.stringify({ detail: 'Preview changed.' }) }); + const selected = memories[body.workspace].filter(memory => body.memory_ids.includes(memory.id)); + memories[body.workspace] = memories[body.workspace].filter(memory => !body.memory_ids.includes(memory.id)); + memories[body.target_workspace].push(...selected); + return ok({ moved: [...body.memory_ids, history.id], count: body.memory_ids.length + 1, workspace: body.target_workspace }); + } + if (path === '/proactive') return ok({ memories: [] }); + if (path === '/audit') return ok({ audit: [] }); + if (path === '/review-inbox') return ok({ items: [], count: 0, has_more: false }); + return ok({}); + }); + return calls; +} + +async function selectForMove(page) { + await page.goto('/?view=library'); + await page.getByRole('button', { name: 'Select memories', exact: true }).click(); + await page.locator('[data-memory-id="mem_current"]').click(); + await expect(page.locator('#library-selection-status')).toContainText('1 selected'); + await page.getByRole('button', { name: 'Move selected', exact: true }).click(); + await page.getByLabel('Destination workspace', { exact: true }).selectOption(destination); +} + +test('workspace instructions quote the selected scope and routing saves only on user action', async ({ page }) => { + const calls = await mockWorkspaceApi(page); + await page.goto('/?view=connections'); + await page.getByLabel('Active project', { exact: true }).selectOption(project); + const instructions = page.locator('#connection-workspace-instructions'); + await expect(instructions).toContainText('omit workspace'); + await expect(instructions).toContainText('repo=' + JSON.stringify(project)); + await expect(page.locator('#connection-routing-status')).toContainText('No project default is saved'); + expect(calls.routing).toEqual([]); + await expect(page.getByRole('button', { name: 'Copy workspace instructions', exact: true })).toBeDisabled(); + await page.getByRole('button', { name: 'Save project routing', exact: true }).click(); + await expect(page.locator('#connection-routing-status')).toContainText('Default for ' + JSON.stringify(project)); + expect(calls.routing).toEqual([{ workspace: source, repo: project, enabled: true }]); + await page.getByRole('button', { name: 'Copy workspace instructions', exact: true }).click(); + expect(await page.evaluate(() => window.__copiedWorkspaceInstructions)).toEqual(await instructions.textContent()); + await expect(instructions).not.toContainText('Use Engraphis workspace='); + await page.getByRole('button', { name: 'Remove project routing', exact: true }).click(); + await expect(page.locator('#connection-routing-status')).toContainText('No project default is saved'); + expect(calls.routing[1]).toEqual({ workspace: source, repo: project, enabled: false }); + await expect(page.getByRole('button', { name: 'Copy workspace instructions', exact: true })).toBeDisabled(); + await page.getByLabel('Active workspace', { exact: true }).selectOption(destination); + await expect(instructions).toContainText('workspace=' + JSON.stringify(destination)); + await expect(instructions).toContainText('No project is selected'); + await expect(page.locator('#connection-routing-save')).toBeDisabled(); + await expect(page.locator('#connection-routing-remove')).toBeDisabled(); + expect((await new AxeBuilder({ page }).include('[data-view-panel="connections"]').analyze()).violations).toEqual([]); +}); + +test('selective workspace move previews complete history before applying and preserves unselected records', async ({ page }) => { + const calls = await mockWorkspaceApi(page); + await selectForMove(page); + await expect(page.locator('#memory-move-apply')).toBeDisabled(); + expect(calls.moves).toEqual([]); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect(page.locator('#memory-move-apply')).toBeEnabled(); + await expect(page.locator('#memory-move-preview')).toContainText(destination); + await expect(page.locator('#memory-move-preview')).toContainText('Access: Personal → Shared'); + await expect(page.locator('#memory-move-preview')).toContainText('Other users with workspace access can read'); + await expect(page.locator('#memory-move-preview')).toContainText('Related memories and history'); + await page.getByText('Review all 2 records', { exact: true }).click(); + await expect(page.locator('#memory-move-preview')).toContainText('Previous database decision'); + expect(calls.previews).toEqual([{ workspace: source, target_workspace: destination, memory_ids: ['mem_current'] }]); + expect((await new AxeBuilder({ page }).include('#memory-move-dialog').analyze()).violations).toEqual([]); + await page.getByRole('button', { name: 'Move memories', exact: true }).click(); + await expect(page.locator('#memory-move-dialog')).not.toBeVisible(); + await expect(page.locator('[data-memory-id="mem_current"]')).toHaveCount(0); + await expect(page.locator('[data-memory-id="mem_other"]')).toBeVisible(); + expect(calls.moves).toEqual([{ + workspace: source, target_workspace: destination, memory_ids: ['mem_current'], + preview_token: 'preview-for-' + destination, confirmed: true, + }]); + await page.getByLabel('Active workspace', { exact: true }).selectOption(destination); + await expect(page.locator('[data-memory-id="mem_current"]')).toBeVisible(); + await expect(page.locator('[data-memory-id="mem_other"]')).toHaveCount(0); +}); + +test('changing move destination ignores a late preview and filtering clears the selection', async ({ page }) => { + let releasePreview; + const previewGate = new Promise(resolve => { releasePreview = resolve; }); + const calls = await mockWorkspaceApi(page, { deferPreview: body => body.target_workspace === destination ? previewGate : Promise.resolve() }); + try { + await selectForMove(page); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect.poll(() => calls.previews.length).toBe(1); + await page.getByLabel('Destination workspace', { exact: true }).selectOption(alternative); + releasePreview(); + await expect(page.locator('#memory-move-apply')).toBeDisabled(); + await expect(page.locator('#memory-move-preview')).toContainText('Choose a destination'); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect(page.locator('#memory-move-apply')).toBeEnabled(); + await expect(page.locator('#memory-move-preview')).toContainText(alternative); + await page.getByRole('button', { name: 'Cancel', exact: true }).click(); + await page.locator('#library-filter').fill('Unrelated'); + await expect(page.locator('#library-selection-status')).toContainText('0 selected'); + await expect(page.locator('#library-move')).toBeDisabled(); + expect(calls.moves).toEqual([]); + } finally { releasePreview(); } +}); + +test('move blockers are visible and prevent submission', async ({ page }) => { + const calls = await mockWorkspaceApi(page, { blockers: [{ code: 'source_import', message: 'Imported records must stay with their source collection.' }] }); + await selectForMove(page); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect(page.locator('#memory-move-preview')).toContainText('Imported records must stay with their source collection.'); + await expect(page.locator('#memory-move-apply')).toBeDisabled(); + expect(calls.moves).toEqual([]); +}); + +test('a move conflict clears approval and requires another preview', async ({ page }) => { + const calls = await mockWorkspaceApi(page, { moveConflict: true }); + await selectForMove(page); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect(page.locator('#memory-move-apply')).toBeEnabled(); + await page.getByRole('button', { name: 'Move memories', exact: true }).click(); + await expect(page.locator('#memory-move-error')).toContainText('Preview the move again'); + await expect(page.locator('#memory-move-apply')).toBeDisabled(); + await expect(page.locator('#memory-move-preview-button')).toBeEnabled(); + expect(calls.moves).toHaveLength(1); +}); + +test('a late project-routing response cannot replace the current project context', async ({ page }) => { + let releaseRouting; + const routingGate = new Promise(resolve => { releaseRouting = resolve; }); + let requested = false; + await mockWorkspaceApi(page, { deferRouting: repo => { + if (repo !== project) return Promise.resolve(); + requested = true; + return routingGate; + } }); + try { + await page.goto('/?view=connections'); + await page.getByLabel('Active project', { exact: true }).selectOption(project); + await expect.poll(() => requested).toBe(true); + await page.getByLabel('Active project', { exact: true }).selectOption('another-project'); + await expect(page.locator('#connection-routing-status')).toContainText('another-project'); + releaseRouting(); + await expect(page.locator('#connection-workspace-instructions')).toContainText('repo="another-project"'); + await expect(page.locator('#connection-routing-status')).not.toContainText(project); + } finally { releaseRouting(); } +}); + +test('saved routing and a selected-memory move work against the isolated local server', async ({ page }, testInfo) => { + const suffix = Date.now(); + const from = 'routing-source-' + suffix; + const to = 'routing-target-' + suffix; + const repo = 'routing-project-' + suffix; + const errors = []; + page.on('pageerror', error => errors.push(error.message)); + await page.goto('/?view=manage#token=engraphis-playwright-local-only'); + await expect(page.locator('#connection-status')).toContainText('Local engine connected'); + for (const workspace of [from, to]) { + await page.locator('#create-workspace-toggle').click(); + await page.locator('#new-workspace-name').fill(workspace); + await page.locator('#create-workspace-form button[type="submit"]').click(); + await expect(page.locator('#workspace-select')).toHaveValue(workspace); + } + const headers = { Authorization: 'Bearer engraphis-playwright-local-only' }; + const originalResponse = await page.request.post('/api/remember', { headers, data: { + workspace: from, repo, title: 'Existing project decision', + content: 'Cedar deployment requires a staged rollout.', + } }); + expect(originalResponse.ok()).toBe(true); + const original = await originalResponse.json(); + + await page.locator('#project-new summary').click(); + await page.locator('#project-name').fill(repo); + await page.locator('#project-apply').click(); + await page.locator('[data-view="connections"]').click(); + await page.getByRole('button', { name: 'Save project routing', exact: true }).click(); + await expect(page.locator('#connection-routing-status')).toContainText('Default for '); + await page.reload(); + await expect(page.locator('#connection-routing-status')).toContainText(JSON.stringify(to)); + const routedResponse = await page.request.post('/api/remember', { headers, data: { + repo, title: 'New routed fact', content: 'Orchid specimens bloom in spring.', + } }); + expect(routedResponse.ok()).toBe(true); + const routed = await routedResponse.json(); + expect(routed).toMatchObject({ workspace: to, repo, workspace_source: 'project' }); + + await page.getByLabel('Active workspace', { exact: true }).selectOption(from); + await page.locator('[data-view="library"]').click(); + await expect(page.locator('#library-list [data-memory-id="' + original.id + '"]')).toBeVisible(); + await page.getByRole('button', { name: 'Select memories', exact: true }).click(); + await page.locator('#library-list [data-memory-id="' + original.id + '"]').click(); + await page.getByRole('button', { name: 'Move selected', exact: true }).click(); + await page.getByLabel('Destination workspace', { exact: true }).selectOption(to); + await page.getByRole('button', { name: 'Preview move', exact: true }).click(); + await expect(page.locator('#memory-move-apply')).toBeEnabled(); + await expect(page.locator('#memory-move-preview')).toContainText('Existing project decision'); + await page.screenshot({ path: testInfo.outputPath('workspace-move-preview.png') }); + await page.getByRole('button', { name: 'Move memories', exact: true }).click(); + await expect(page.locator('#memory-move-dialog')).not.toBeVisible(); + await expect(page.locator('#library-list [data-memory-id="' + original.id + '"]')).toHaveCount(0); + await page.getByLabel('Active workspace', { exact: true }).selectOption(to); + await page.reload(); + await expect(page.locator('#library-list [data-memory-id="' + original.id + '"]')).toBeVisible(); + await expect(page.locator('#library-list [data-memory-id="' + routed.id + '"]')).toBeVisible(); + expect(errors).toEqual([]); +}); diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 5d924486..68746e4a 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v80.json" -PUBLIC_OFFLINE_SHA = "ac63dac1e34c66b658eeb5846599ef42d774a5e212860b2a909941f364c82bc2" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-workspace-routing-20260928.json" +PUBLIC_OFFLINE_SHA = "8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e" @pytest.fixture(scope="module") diff --git a/tests/test_cron_write_tools_workspace_default.py b/tests/test_cron_write_tools_workspace_default.py index 7aa1773b..8f319b01 100644 --- a/tests/test_cron_write_tools_workspace_default.py +++ b/tests/test_cron_write_tools_workspace_default.py @@ -15,8 +15,8 @@ This test pins the (workspace defaults to 'default') contract for all three auto-fired write/session tools at two levels: - * signature level — asserts the ``workspace`` parameter still carries the ``"default"`` - default (this is the *exact* thing that broke: a missing default), and + * signature level — asserts the ``workspace`` parameter remains optional; ``None`` + now permits session/project routing before the legacy fallback, and * behavioral level — omitting ``workspace`` succeeds and lands the write in 'default'. NOTE: ``engraphis_recall`` is deliberately excluded. It is a stateful retrieval tool whose @@ -54,8 +54,8 @@ def test_cron_write_tool_workspace_defaults_to_default(monkeypatch, tool_name): srv = _module_with_memory_db(monkeypatch) param = inspect.signature(getattr(srv, tool_name)).parameters.get("workspace") assert param is not None, f"{tool_name} lost its 'workspace' parameter" - assert param.default == "default", ( - f"{tool_name}.workspace default is {param.default!r}, not 'default' — cron calls " + assert param.default in (None, "default"), ( + f"{tool_name}.workspace default is {param.default!r}, not optional — cron calls " "that omit workspace will fail with 'workspace Field required' (fleet-wide " "memory-write outage)." ) diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 80e2af02..d24695d0 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v80.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_graph_engine_asset.py b/tests/test_graph_engine_asset.py index 50bf3e78..4e4ff331 100644 --- a/tests/test_graph_engine_asset.py +++ b/tests/test_graph_engine_asset.py @@ -10682,7 +10682,7 @@ def test_primary_graph_dependencies_are_lazy_retryable_and_csp_clean() -> None: "'/v2-assets/engraphis-graph.js?v=20260927-unmerged-readiness-3'" ) assert d3 < force_graph < renderer - assert '/v2-assets/ledger.js?v=20260927-unmerged-readiness-3' in markup + assert '/v2-assets/ledger.js?v=20260928-workspace-routing-1' in markup assert "if (graphAssetsPromise === attempt) releaseGraphAssetsAttempt(attempt)" in loader assert "graphAssetsRetry = Math.min(graphAssetsRetry + 1, 10)" in loader all_loader = source[source.index("function ensureGraphAllAsset()"): diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index fdb2a060..1d93cb2e 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -531,6 +531,8 @@ def _recall_side_effect_snapshot(srv): _ALL_TOOLS = { + "engraphis_list_workspaces", "engraphis_get_workspace_routing", + "engraphis_set_workspace_routing", "engraphis_remember", "engraphis_remember_many", "engraphis_recall", "engraphis_recall_context", "engraphis_why", "engraphis_timeline", @@ -575,11 +577,11 @@ def test_server_identity_and_tools_registered(): classic = {t.name: t for t in asyncio.run(srv.classic_mcp.list_tools())} assert srv.classic_mcp.name == "engraphis_mcp" - assert len(_ALL_TOOLS) == 35 + assert len(_ALL_TOOLS) == 38 assert set(classic) == _ALL_TOOLS assert srv.minimum_role("engraphis_context_savings") == "viewer" kilo = (ROOT / "docs" / "KILO_CODE_INTEGRATION.md").read_text(encoding="utf-8") - full_surface = kilo.split("### Classic 35-tool inventory", 1)[1].split("\n---", 1)[0] + full_surface = kilo.split("### Classic 38-tool inventory", 1)[1].split("\n---", 1)[0] assert set(re.findall(r"`(engraphis_[a-z_]+)`", full_surface)) == _ALL_TOOLS # Flat schema (not a nested "params" object) so agents can call fields directly. props = classic["engraphis_remember"].inputSchema.get("properties", {}) diff --git a/tests/test_memory_move.py b/tests/test_memory_move.py new file mode 100644 index 00000000..7a25d108 --- /dev/null +++ b/tests/test_memory_move.py @@ -0,0 +1,394 @@ +"""Moves preserve complete history, fail atomically, and never weaken ownership.""" +import time + +import pytest + +from engraphis.core.ids import new_id +from engraphis.core.interfaces import MemoryRecord, Scope +from engraphis.core.mutations import MemoryConflict +from engraphis.service import MemoryService, ValidationError, set_current_user + + +@pytest.fixture +def svc(): + service = MemoryService.create(":memory:") + service.create_workspace("source") + service.create_workspace("target") + yield service + set_current_user(None) + service.store.close() + + +def remember(svc, text="A durable checkout convention.", workspace="source", repo=None, **kwargs): + wid = svc.store.get_or_create_workspace(workspace) + rid = svc.store.get_or_create_repo(wid, repo) if repo else None + metadata = dict(kwargs.pop("metadata", {}), embed_model=svc.engine.embedding_space) + rec = MemoryRecord(id=new_id("memory"), content=text, workspace_id=wid, repo_id=rid, + scope=kwargs.pop("scope", Scope.REPO if repo else Scope.WORKSPACE), + embedding=svc.engine.embedder.embed([text])[0], + provenance={"source": "test", "trusted": True, "review_state": "approved"}, + metadata=metadata, + **kwargs) + return svc.store.add_memory(rec) + + +def preview(svc, *mids): + return svc.preview_memory_move(workspace="source", target_workspace="target", + memory_ids=list(mids)) + + +def move(svc, plan): + return svc.move_memories(workspace="source", target_workspace="target", + memory_ids=plan["requested_ids"], preview_token=plan["preview_token"], + confirmed=True) + + +def test_preview_is_read_only_and_move_preserves_identity_content_scope_and_indexes(svc): + mid = remember(svc, repo="website", title="Deploy", pinned=True, stability=15.0, + metadata={"rationale": "same deploy procedure"}) + unrelated = remember(svc, "Orchard soil mineral measurements.") + before = svc.store.get_memory(mid) + vector = bytes(svc.store.conn.execute("SELECT vector FROM mem_vectors WHERE id=?", (mid,)).fetchone()[0]) + count = svc.store.conn.total_changes + plan = preview(svc, mid) + assert plan["can_move"] and plan["count"] == 1 and plan["repos"] == ["website"] + assert svc.store.conn.total_changes == count + assert svc.store.conn.execute("SELECT 1 FROM repos WHERE workspace_id=?", + (svc._lookup_workspace("target"),)).fetchone() is None + result = move(svc, plan) + assert result["moved"] == [mid] + after = svc.store.get_memory(mid) + assert after.workspace_id == svc._lookup_workspace("target") + assert after.repo_id != before.repo_id and after.scope == before.scope + for field in ("content", "title", "metadata", "provenance", "pinned", "stability", + "valid_from", "valid_to", "ingested_at", "expired_at"): + assert getattr(after, field) == getattr(before, field) + assert after.modified_hlc != before.modified_hlc + assert svc.store.get_memory(unrelated).workspace_id == before.workspace_id + assert bytes(svc.store.conn.execute("SELECT vector FROM mem_vectors WHERE id=?", (mid,)).fetchone()[0]) == vector + assert svc.store.conn.execute("SELECT 1 FROM mem_fts WHERE id=?", (mid,)).fetchone() + assert any(row["action"] == "workspace_move" for row in svc.store.conn.execute( + "SELECT action FROM audit WHERE target=?", (mid,))) + assert mid not in {hit["id"] for hit in svc.engine.recall("checkout convention", k=10, + workspace_id=before.workspace_id).chunks} + assert mid in {hit["id"] for hit in svc.engine.recall("checkout convention", k=10, + workspace_id=after.workspace_id).chunks} + + +def test_incoming_and_outgoing_history_and_links_move_together(svc): + old = remember(svc, "Prior deployment rule.", valid_to=time.time() - 10) + new = remember(svc, "Updated deployment rule.", metadata={"supersedes": [old]}) + digest = remember(svc, "Consolidated procedure.", metadata={"provenance": {"consolidates": [new]}}) + linked = remember(svc, "Related deployment event.") + svc.store.add_link(digest, linked, "related") + plan = preview(svc, old) + assert set(plan["memory_ids"]) == {old, new, digest, linked} + assert plan["related_count"] == 3 + move(svc, plan) + assert all(svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("target") + for mid in (old, new, digest, linked)) + assert svc.store.get_memory(old).valid_to is not None + assert svc.store.get_memory(new).metadata["supersedes"] == [old] + + +def test_whole_closed_session_and_events_move_without_cloning_or_dropping_handoff(svc): + sid = svc.start_session(workspace="source", repo="api", goal="checkout", agent="test")["session_id"] + first = remember(svc, repo="api", session_id=sid) + second = remember(svc, "Rollback procedure.", repo="api", session_id=sid) + svc.record_event("decision", "Use staged rollout.", workspace="source", repo="api", session_id=sid) + active = preview(svc, first) + assert "active_session" in {item["code"] for item in active["blockers"]} + svc.end_session(sid, summary="Preserve this handoff", outcome="done", open_threads=[]) + plan = preview(svc, first) + assert set(plan["memory_ids"]) == {first, second} and plan["sessions"] == 1 + move(svc, plan) + session = svc.store.get_session(sid) + assert session["workspace_id"] == svc._lookup_workspace("target") + assert session["summary"] == "Preserve this handoff" + assert svc.store.get_memory(first).session_id == sid + assert all(row["workspace_id"] == session["workspace_id"] for row in + svc.store.conn.execute("SELECT * FROM events WHERE session_id=?", (sid,))) + + +@pytest.mark.parametrize("change", ["content", "new_history", "target_claim"]) +def test_stale_preview_cannot_move_partial_or_changed_history(svc, change): + mid = remember(svc, subject_key="release", claim_kind="region") + plan = preview(svc, mid) + if change == "content": + svc.store.conn.execute("UPDATE memories SET title='Changed' WHERE id=?", (mid,)) + svc.store.conn.commit() + elif change == "new_history": + remember(svc, "Later correction", metadata={"corrects": mid}) + else: + remember(svc, "Other region", workspace="target", subject_key="release", claim_kind="region") + with pytest.raises(MemoryConflict, match="stale"): + move(svc, plan) + assert svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("source") + + +@pytest.mark.parametrize("kind,code", [("document", "imported_document"), ("sync", "synced_memory"), + ("export", "synced_memory"), ("code", "code_links")]) +def test_attached_records_return_actionable_blockers(svc, kind, code): + metadata = {"document": {"source_key": "abc"}} if kind == "document" else {} + if kind == "sync": + metadata = {"provenance": {"source": "sync", "synced_from_device": "test-device"}} + mid = remember(svc, metadata=metadata) + if kind == "export": + svc.store.conn.execute("INSERT INTO memory_sync_exports VALUES(?,?,?,?,?)", + (mid, svc._lookup_workspace("source"), None, 1.0, 2.0)) + if kind == "code": + rid = svc.store.get_or_create_repo(svc._lookup_workspace("source"), "api") + svc.store.conn.execute("INSERT INTO code_memory_links(id,repo_id,symbol_id,memory_id) " + "VALUES(?,?,?,?)", ("link", rid, "sym_fixture", mid)) + svc.store.conn.commit() + plan = preview(svc, mid) + assert not plan["can_move"] and not plan["preview_token"] + assert code in {item["code"] for item in plan["blockers"]} + with pytest.raises(ValidationError, match="Preview and confirm"): + move(svc, plan) + + +def test_graph_evidence_preserved_and_shared_source_entities_are_not_rehomed(svc): + from engraphis.core.interfaces import Edge, Node + mid = remember(svc) + wid = svc._lookup_workspace("source") + node_a = Node(new_id("entity"), "checkout", workspace_id=wid) + node_b = Node(new_id("entity"), "validation", workspace_id=wid) + svc.store.upsert_entity(node_a) + svc.store.upsert_entity(node_b) + edge = Edge(new_id("edge"), node_a.id, node_b.id, "requires", workspace_id=wid, + provenance={"memory_ids": [mid]}) + svc.store.upsert_edge(edge) + plan = preview(svc, mid) + assert plan["can_move"] and plan["graph_edges"] == 1 + support_before = [dict(row) for row in svc.store.conn.execute( + "SELECT * FROM edge_supports WHERE edge_id=?", (edge.id,))] + move(svc, plan) + moved = svc.store.conn.execute("SELECT * FROM edges WHERE id=?", (edge.id,)).fetchone() + assert moved["workspace_id"] == svc._lookup_workspace("target") + assert moved["src"] != node_a.id and moved["dst"] != node_b.id + assert svc.store.conn.execute("SELECT workspace_id FROM entities WHERE id=?", + (node_a.id,)).fetchone()[0] == wid + assert support_before == [dict(row) for row in svc.store.conn.execute( + "SELECT * FROM edge_supports WHERE edge_id=?", (edge.id,))] + + +def test_failed_audit_rolls_back_memories_repos_and_hlc(svc, monkeypatch): + mid = remember(svc, repo="api") + before = svc.store.get_memory(mid) + plan = preview(svc, mid) + + def fail(*args, **kwargs): + raise RuntimeError("audit failure") + + monkeypatch.setattr(svc.store, "audit", fail) + with pytest.raises(RuntimeError, match="audit failure"): + move(svc, plan) + after = svc.store.get_memory(mid) + assert after.workspace_id == before.workspace_id and after.modified_hlc == before.modified_hlc + assert svc.store.conn.execute("SELECT 1 FROM repos WHERE workspace_id=?", + (svc._lookup_workspace("target"),)).fetchone() is None + + +def test_related_private_session_is_not_disclosed_or_moved(svc): + set_current_user({"id": "other", "email": "other@example.test", "role": "admin"}) + sid = svc.start_session(workspace="source", agent="other")["session_id"] + hidden = remember(svc, "Private session title", session_id=sid, scope=Scope.SESSION) + svc.end_session(sid, summary="private") + public = remember(svc, metadata={"corrects": hidden}) + set_current_user({"id": "me", "email": "me@example.test", "role": "admin"}) + with pytest.raises(ValidationError, match="another user"): + preview(svc, public) + + +def test_preview_and_apply_authorize_destination_each_time(svc): + mid = remember(svc) + plan = preview(svc, mid) + svc.allowed_workspaces = {"source"} + with pytest.raises(ValidationError): + move(svc, plan) + assert svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("source") + + +def test_api_requires_explicit_confirmation_and_rejects_stale_preview(svc, monkeypatch): + pytest.importorskip("fastapi") + pytest.importorskip("httpx") + from fastapi import FastAPI + from fastapi.testclient import TestClient + from engraphis.routes import v2_api + + monkeypatch.setattr(v2_api, "service", lambda: svc) + app = FastAPI() + app.include_router(v2_api.router) + mid = remember(svc) + body = {"workspace": "source", "target_workspace": "target", "memory_ids": [mid]} + with TestClient(app) as client: + plan = client.post("/api/memories/move-preview", json=body).json() + body["preview_token"] = plan["preview_token"] + assert client.post("/api/memories/move", json=body).status_code == 400 + body["confirmed"] = "true" + assert client.post("/api/memories/move", json=body).status_code == 422 + body["confirmed"] = True + svc.store.conn.execute("UPDATE memories SET title='Changed after preview' WHERE id=?", (mid,)) + svc.store.conn.commit() + stale = client.post("/api/memories/move", json=body) + assert stale.status_code == 409 + assert stale.json()["detail"]["code"] == "memory_conflict" + assert svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("source") + body["preview_token"] = client.post("/api/memories/move-preview", json=body).json()["preview_token"] + assert client.post("/api/memories/move", json=body).json()["moved"] == [mid] + assert svc.store.conn.execute("PRAGMA foreign_key_check").fetchall() == [] + + +def graph_pair(svc, workspace, mid, *, reverse=False, relation="co_occurs"): + from engraphis.core.interfaces import Edge, Node + wid = svc._lookup_workspace(workspace) + names = ["checkout", "validation"] + if reverse: + names.reverse() + nodes = {name: Node(new_id("entity"), name, workspace_id=wid) for name in names} + for node in nodes.values(): + svc.store.upsert_entity(node) + edge = Edge(new_id("edge"), nodes["checkout"].id, nodes["validation"].id, relation, + workspace_id=wid, provenance={"memory_ids": [mid]}) + svc.store.upsert_edge(edge) + return nodes, edge + + +def test_undirected_graph_collision_uses_destination_order(svc): + source = remember(svc) + target = remember(svc, "Destination evidence.", workspace="target") + graph_pair(svc, "source", source) + graph_pair(svc, "target", target, reverse=True) + plan = preview(svc, source) + assert "target_graph_conflict" in {item["code"] for item in plan["blockers"]} + assert svc.store.conn.execute("SELECT COUNT(*) FROM edges WHERE workspace_id=?", + (svc._lookup_workspace("target"),)).fetchone()[0] == 1 + + +def test_move_preserves_alias_canonical_history_including_unattached_root(svc): + from engraphis.core.interfaces import Node + mid = remember(svc) + wid = svc._lookup_workspace("source") + root = Node(new_id("entity"), "PostgreSQL database", workspace_id=wid) + alias = Node(new_id("entity"), "PostgreSQL database server", workspace_id=wid) + svc.store.upsert_entity(root) + svc.store.upsert_entity(alias) + svc.store.conn.execute("UPDATE entities SET canonical_id=?,canonical_method='token_overlap'," + "canonical_confidence=0.8 WHERE id=?", (root.id, alias.id)) + svc.store.conn.execute("INSERT INTO memory_entities(id,memory_id,entity_id,workspace_id) " + "VALUES(?,?,?,?)", ("incidence", mid, alias.id, wid)) + svc.store.conn.commit() + plan = preview(svc, mid) + assert plan["can_move"] + # Adding an unrelated target repo's identity must never change an already + # prepared canonical choice at apply time. + rid = svc.store.get_or_create_repo(svc._lookup_workspace("target"), "unrelated") + foreign_root = Node(new_id("entity"), root.name, workspace_id=svc._lookup_workspace("target"), repo_id=rid) + svc.store.upsert_entity(foreign_root) + move(svc, plan) + rows = list(svc.store.conn.execute("SELECT * FROM entities WHERE workspace_id=? AND repo_id IS NULL", + (svc._lookup_workspace("target"),))) + moved_root = next(row for row in rows if row["name"] == root.name) + moved_alias = next(row for row in rows if row["name"] == alias.name) + assert moved_alias["canonical_id"] == moved_root["id"] + assert moved_alias["canonical_method"] == "token_overlap" + assert moved_alias["canonical_confidence"] == 0.8 + assert moved_root["canonical_id"] == moved_root["id"] + + +def test_different_sessions_can_retain_same_claim_key(svc): + selected = [] + for workspace in ("source", "target"): + sid = svc.start_session(workspace=workspace, agent="test")["session_id"] + selected.append(remember(svc, workspace=workspace, session_id=sid, scope=Scope.SESSION, + subject_key="plan", claim_kind="step")) + svc.end_session(sid, summary="Session complete") + plan = preview(svc, selected[0]) + assert plan["can_move"] + move(svc, plan) + assert svc.store.get_memory(selected[0]).session_id != svc.store.get_memory(selected[1]).session_id + + +def test_move_does_not_rewrite_original_receipt_chains(svc): + mid = svc.remember("Keep the original audit chain.", workspace="source")["id"] + receipts = [dict(row) for row in svc.store.conn.execute("SELECT * FROM operation_receipts")] + assert receipts + move(svc, preview(svc, mid)) + assert receipts == [dict(row) for row in svc.store.conn.execute("SELECT * FROM operation_receipts")] + + +def test_failed_move_preserves_a_caller_owned_transaction(svc, monkeypatch): + mid = remember(svc, repo="api") + plan = preview(svc, mid) + svc.store.conn.execute("BEGIN IMMEDIATE") + svc.store.conn.execute("UPDATE workspaces SET created_at=42 WHERE name='source'") + + def fail(*args, **kwargs): + raise RuntimeError("audit failure") + + monkeypatch.setattr(svc.store, "audit", fail) + # The caller's change is unrelated to the preview's ownership policy. + plan = preview(svc, mid) + with pytest.raises(RuntimeError, match="audit failure"): + move(svc, plan) + assert svc.store.conn.transaction_owned_by_current_thread() + assert svc.store.conn.execute("SELECT created_at FROM workspaces WHERE name='source'").fetchone()[0] == 42 + assert svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("source") + svc.store.conn.rollback() + + +def test_correction_commands_follow_history_and_keep_retries_idempotent(svc): + from engraphis.core.mutations import memory_version + + old = remember(svc, "Use the first deployment path.", repo="api") + corrected = svc.correct(old, "Use the second deployment path.", workspace="source", repo="api") + command = dict(svc.store.conn.execute("SELECT * FROM memory_commands WHERE result_id=?", + (corrected["id"],)).fetchone()) + plan = preview(svc, old) + assert plan["can_move"] and set(plan["memory_ids"]) == {old, corrected["id"]} + move(svc, plan) + replay = svc.correct(old, "Use the second deployment path.", workspace="target", repo="api") + assert replay["id"] == corrected["id"] + moved = svc.store.conn.execute("SELECT * FROM memory_commands WHERE sequence=?", (command["sequence"],)).fetchone() + assert moved["workspace_id"] == svc._lookup_workspace("target") + assert moved["request_hash"] == command["request_hash"] + assert moved["result_version"] == memory_version(svc.store.get_memory(corrected["id"])) + assert list(svc.store.conn.execute("PRAGMA foreign_key_check")) == [] + + +def test_move_blocks_destination_operation_id_collision(svc): + old = remember(svc, "Original deployment path.") + corrected = svc.correct(old, "Corrected deployment path.", workspace="source") + destination = remember(svc, "Destination operation.", workspace="target") + svc.store.conn.execute("INSERT INTO memory_commands(workspace_id,operation_id,operation,request_hash," + "result_id,result_version,created_at) SELECT ?,operation_id,operation,request_hash," + "?,result_version,created_at FROM memory_commands WHERE result_id=?", + (svc._lookup_workspace("target"), destination, corrected["id"])) + svc.store.conn.commit() + assert "target_operation_conflict" in {item["code"] for item in preview(svc, old)["blockers"]} + + +@pytest.mark.parametrize("other_session", [False, True]) +def test_incoming_event_references_block_moves_and_stale_previews(svc, other_session): + mid = remember(svc) + before = preview(svc, mid) + sid = svc.start_session("source", goal="Other work")["session_id"] if other_session else None + svc.record_event("decision", "This event cites the memory.", workspace="source", session_id=sid, refs=[mid]) + if sid: + svc.end_session(sid, summary="Closed other work") + assert "external_events" in {item["code"] for item in preview(svc, mid)["blockers"]} + with pytest.raises(MemoryConflict, match="stale"): + move(svc, before) + assert svc.store.get_memory(mid).workspace_id == svc._lookup_workspace("source") + + +def test_preview_discloses_and_binds_workspace_access(svc): + set_current_user({"id": "me", "email": "me@example.test", "role": "admin"}) + svc.set_workspace_visibility("source", "personal", confirmed=True) + mid = remember(svc) + plan = preview(svc, mid) + assert plan["source_visibility"] == "personal" and plan["target_visibility"] == "shared" + svc.set_workspace_visibility("target", "personal", confirmed=True) + with pytest.raises(MemoryConflict, match="stale"): + move(svc, plan) diff --git a/tests/test_release_infrastructure.py b/tests/test_release_infrastructure.py index 55b72196..10e3bd8b 100644 --- a/tests/test_release_infrastructure.py +++ b/tests/test_release_infrastructure.py @@ -540,7 +540,7 @@ def test_primary_github_release_targets_repository_without_checkout(): def test_public_capability_and_support_docs_match_the_shipped_tree(): server = _text("engraphis/mcp_server.py") tools = re.findall(r'@mcp\.tool\(\s*name="(engraphis_[^"]+)"', server) - assert len(tools) == len(set(tools)) == 35 + assert len(tools) == len(set(tools)) == 38 readme = _text("README.md") architecture = _text("docs/ARCHITECTURE_V3.md") @@ -552,7 +552,7 @@ def test_public_capability_and_support_docs_match_the_shipped_tree(): assert "28-tool" not in content assert "(28 of them)" not in content assert "Smart MCP (9 tools)" in architecture - assert "Classic MCP (35 tools)" in architecture + assert "Classic MCP (38 tools)" in architecture assert "default Smart MCP surface has nine" in skill assert "Classic direct-tool guide" in skill assert "engraphis-mcp-classic" in skill diff --git a/tests/test_session_start_hook.py b/tests/test_session_start_hook.py index f33ba363..d3884d5c 100644 --- a/tests/test_session_start_hook.py +++ b/tests/test_session_start_hook.py @@ -10,7 +10,9 @@ import json import os import sys +import tempfile import unittest +from pathlib import Path from unittest import mock ROOT = os.path.dirname(os.path.abspath(__file__)) @@ -29,10 +31,9 @@ class WorkspaceResolution(unittest.TestCase): def setUp(self): self.hook = _load() - def test_default_falls_back_to_repo_basename(self): - self.assertEqual( + def test_default_leaves_workspace_to_server(self): + self.assertIsNone( self.hook.resolve_workspace("C:/work/engraphis", {}), - "engraphis", ) def test_override_wins_over_basename(self): @@ -42,13 +43,73 @@ def test_override_wins_over_basename(self): "ops-prod", ) - def test_blank_override_falls_back(self): - self.assertEqual( + def test_blank_override_leaves_workspace_to_server(self): + self.assertIsNone( self.hook.resolve_workspace( "C:/work/engraphis", {"ENGRAPHIS_HOOK_WORKSPACE": " "}), - "engraphis", ) + def test_nested_directory_uses_git_root_name(self): + with tempfile.TemporaryDirectory() as directory: + root = Path(directory) / "project" + (root / ".git").mkdir(parents=True) + nested = root / "src" / "api" + nested.mkdir(parents=True) + self.assertEqual(self.hook.resolve_repo(nested), "project") + + def test_nearest_git_file_is_a_worktree_root(self): + with tempfile.TemporaryDirectory() as directory: + outer = Path(directory) / "outer" + (outer / ".git").mkdir(parents=True) + root = outer / "project" + nested = root / "src" + nested.mkdir(parents=True) + (root / ".git").write_text("gitdir: /unused/worktree/admin", encoding="utf-8") + self.assertEqual(self.hook.resolve_repo(nested), "project") + + def test_non_git_directory_uses_its_name(self): + with tempfile.TemporaryDirectory() as directory: + folder = Path(directory) / "research" + folder.mkdir() + self.assertEqual(self.hook.resolve_repo(folder), "research") + + +class SessionRouting(unittest.TestCase): + def setUp(self): + self.hook = _load() + + def _call(self, workspace): + result = {"content": [{"type": "text", "text": json.dumps({ + "workspace": "client-acme", "context": "Use the agreed API contract." + })}]} + with mock.patch.object( + self.hook, "rpc", side_effect=[({}, "transport-session"), (result, "transport-session")] + ) as rpc: + with mock.patch.object( + self.hook, "notify_initialized", return_value="transport-session" + ): + context = self.hook.session_context("website", workspace, 100) + return context, rpc.call_args + + def test_omitted_workspace_allows_saved_project_mapping(self): + context, call = self._call(None) + self.assertEqual(context, ("Use the agreed API contract.", "client-acme")) + self.assertNotIn("workspace", call.args[1]["arguments"]) + self.assertEqual(call.args[1]["arguments"]["repo"], "website") + self.assertEqual(call.kwargs["session_id"], "transport-session") + + def test_explicit_default_is_not_treated_as_omission(self): + _, call = self._call("default") + self.assertEqual(call.args[1]["arguments"]["workspace"], "default") + + def test_legacy_plain_context_has_no_invented_workspace(self): + result = {"content": [{"type": "text", "text": "Known fact."}]} + self.assertEqual(self.hook.extract_session_result(result), ("Known fact.", None)) + + def test_tool_error_does_not_become_context(self): + result = {"isError": True, "content": [{"type": "text", "text": "Denied"}]} + self.assertEqual(self.hook.extract_session_result(result), ("", None)) + class ContextBuild(unittest.TestCase): def setUp(self): @@ -70,6 +131,11 @@ def test_truncates_at_budget(self): # Header + footer + truncated body, never exceeds the budget. self.assertLessEqual(len(out), 50) + def test_unknown_destination_omits_workspace_label(self): + out = self.hook.build_additional_context("hello", None) + self.assertNotIn("workspace", out) + self.assertIn("hello", out) + class EndToEndBehavior(unittest.TestCase): def setUp(self): @@ -99,7 +165,7 @@ def test_wrong_event_prints_nothing(self): def test_workspace_override_used_in_call(self): with mock.patch.object(self.hook, "MCP_URL", "http://127.0.0.1:9/mcp"): with mock.patch.object(self.hook, "session_context", - return_value="") as fake: + return_value=("", None)) as fake: with mock.patch.dict(os.environ, {"ENGRAPHIS_HOOK_WORKSPACE": "ops"}): with mock.patch.object(sys, "stdin", io.StringIO(json.dumps({ @@ -111,6 +177,26 @@ def test_workspace_override_used_in_call(self): self.hook.main() self.assertEqual(fake.call_args.args[1], "ops") + def test_output_names_resolved_destination_for_nested_project(self): + with tempfile.TemporaryDirectory() as directory: + root = Path(directory) / "website" + (root / ".git").mkdir(parents=True) + nested = root / "src" + nested.mkdir() + payload = {"hook_event_name": "SessionStart", "cwd": str(nested)} + with mock.patch.dict(os.environ, {"ENGRAPHIS_HOOK_WORKSPACE": ""}): + with mock.patch.object( + self.hook, "session_context", return_value=("Saved project fact.", "client-acme") + ) as fake: + with mock.patch.object(sys, "stdin", io.StringIO(json.dumps(payload))): + buf = io.StringIO() + with mock.patch.object(sys, "stdout", buf): + self.assertEqual(self.hook.main(), 0) + self.assertEqual(fake.call_args.args[:2], ("website", None)) + context = json.loads(buf.getvalue())["hookSpecificOutput"]["additionalContext"] + self.assertIn("workspace client-acme", context) + self.assertNotIn("workspace src", context) + class FailOpenBoundaryTests(unittest.TestCase): """Malformed env overrides must not crash the hook at import time.""" @@ -130,7 +216,7 @@ def test_malformed_budget_falls_back_to_default(self): }, clear=False, ): - with mock.patch.object(self.hook, "session_context", return_value="") as fake: + with mock.patch.object(self.hook, "session_context", return_value=("", None)) as fake: with mock.patch.object(sys, "stdin", mock.MagicMock(read=lambda: "{}")): with mock.patch.object(sys, "stdout", mock.MagicMock()): rc = self.hook.main() @@ -150,7 +236,7 @@ def test_malformed_max_chars_falls_back_to_default(self): }, clear=False, ): - with mock.patch.object(self.hook, "session_context", return_value="ctx"): + with mock.patch.object(self.hook, "session_context", return_value=("ctx", "default")): with mock.patch.object(sys, "stdin", mock.MagicMock(read=lambda: "{}")): with mock.patch.object(sys, "stdout", mock.MagicMock()) as buf: rc = self.hook.main() @@ -247,7 +333,7 @@ def test_env_prose_lifts_cap(self): clear=False, ): with mock.patch.object(self.hook, "session_context", - return_value="ctx"): + return_value=("ctx", "default")): with mock.patch.object(sys, "stdin", mock.MagicMock(read=lambda: "{}")): with mock.patch.object(sys, "stdout", mock.MagicMock()) as buf: self.hook.main() @@ -266,7 +352,7 @@ def test_env_format_garbage_falls_back_to_terse(self): clear=False, ): with mock.patch.object(self.hook, "session_context", - return_value="ctx"): + return_value=("ctx", "default")): with mock.patch.object(sys, "stdin", mock.MagicMock(read=lambda: "{}")): with mock.patch.object(sys, "stdout", mock.MagicMock()) as buf: self.hook.main() diff --git a/tests/test_skill_package.py b/tests/test_skill_package.py index 0a6593c5..e299433c 100644 --- a/tests/test_skill_package.py +++ b/tests/test_skill_package.py @@ -35,23 +35,23 @@ def test_portable_tool_reference_matches_registered_runtime_schemas() -> None: overlap = set(classic) & set(smart) headings = set(re.findall(r"^### `(engraphis_[^`]+)`", reference, flags=re.MULTILINE)) - assert len(classic) == 35 + assert len(classic) == 38 assert len(smart) == 9 assert overlap == {"engraphis_remember", "engraphis_recall_context"} - assert len(distinct) == 42 + assert len(distinct) == 45 assert headings == distinct - assert "35 direct tools" in reference + assert "38 direct tools" in reference assert "nine" in reference - assert "42 distinct public tool names" in reference + assert "45 distinct public tool names" in reference readme = (ROOT / "README.md").read_text(encoding="utf-8") architecture = (ROOT / "docs" / "ARCHITECTURE_V3.md").read_text(encoding="utf-8") kilo = (ROOT / "docs" / "KILO_CODE_INTEGRATION.md").read_text(encoding="utf-8") assert "former 35 direct tool names" in readme - assert "Classic 35-tool compatibility" in readme - assert "35-tool Classic compatibility server" in readme - assert "Smart MCP (9 tools) / Classic MCP (35 tools)" in architecture - assert "Classic 35-tool inventory" in kilo + assert "Classic 38-tool compatibility" in readme + assert "38-tool Classic compatibility server" in readme + assert "Smart MCP (9 tools) / Classic MCP (38 tools)" in architecture + assert "Classic 38-tool inventory" in kilo for name, tool in classic.items(): section = _section(reference, name) diff --git a/tests/test_smart_mcp_gateway.py b/tests/test_smart_mcp_gateway.py index 2b84fed7..fdbc2fc4 100644 --- a/tests/test_smart_mcp_gateway.py +++ b/tests/test_smart_mcp_gateway.py @@ -32,6 +32,8 @@ # This is deliberately an exact snapshot, rather than a count-only check: a # legacy client may depend on either deprecated alias retaining its behavior. CLASSIC_TOOL_NAMES = { + "engraphis_list_workspaces", "engraphis_get_workspace_routing", + "engraphis_set_workspace_routing", "engraphis_remember", "engraphis_remember_many", "engraphis_recall", "engraphis_recall_context", "engraphis_why", "engraphis_timeline", "engraphis_recall_proactive", @@ -139,12 +141,12 @@ def test_smart_remember_rejects_invalid_exact_values(monkeypatch, content, value assert server._service.store.conn.execute("SELECT COUNT(*) FROM memories").fetchone()[0] == 0 -def test_classic_mcp_retains_the_34_named_tool_compatibility_surface(monkeypatch): +def test_classic_mcp_retains_compatibility_and_adds_workspace_routing(monkeypatch): server = _memory_server(monkeypatch) classic = _tools(server, "classic_mcp") assert set(classic) == CLASSIC_TOOL_NAMES - assert len(classic) == 35 + assert len(classic) == 38 # These aliases carry distinct historical defaults and must not disappear. assert {"engraphis_answer", "engraphis_forget"} <= set(classic) diff --git a/tests/test_start_session_workspace_default.py b/tests/test_start_session_workspace_default.py index 2a851efe..4875f692 100644 --- a/tests/test_start_session_workspace_default.py +++ b/tests/test_start_session_workspace_default.py @@ -4,7 +4,7 @@ ...) call engraphis_start_session WITHOUT the workspace argument. The MCP tool must default workspace to 'default' rather than rejecting the call with "workspace Field required" (the fleet-wide contract bug, 200+ occurrences in -gateway.log). This test locks that behavior and the fail-loud contract for empty/None. +gateway.log). This test locks that fallback and rejection of empty workspace names. """ import json @@ -43,12 +43,12 @@ def test_start_session_explicit_named_workspace(monkeypatch): assert out["workspace"] == "acme" -def test_start_session_explicit_none_workspace_rejected(monkeypatch): +def test_start_session_none_workspace_uses_default_fallback(monkeypatch): srv = _module_with_memory_db(monkeypatch) - # Explicit None (vs omitted, which legitimately defaults to 'default') must - # fail-loud, never silently coerce to 'default' or crash ungracefully. - out = srv.engraphis_start_session(workspace=None) - assert out.startswith("Error:") + # None is the omission sentinel, allowing session/project routing before fallback. + out = json.loads(srv.engraphis_start_session(workspace=None)) + assert out["workspace"] == "default" + assert out["workspace_source"] == "default" def test_start_session_empty_workspace_rejected(monkeypatch): diff --git a/tests/test_workspace_routing.py b/tests/test_workspace_routing.py new file mode 100644 index 00000000..4a0b41ad --- /dev/null +++ b/tests/test_workspace_routing.py @@ -0,0 +1,414 @@ +"""Project routing is durable, caller-owned, explicit, and checked before writes.""" +import asyncio +import json + +import pytest + +from engraphis.service import MemoryService, ValidationError, set_current_user + + +@pytest.fixture +def svc(): + set_current_user(None) + service = MemoryService.create(":memory:") + yield service + set_current_user(None) + service.close() + + +def _user(name): + set_current_user({"id": "usr_" + name, "email": name + "@example.test", "role": "member"}) + + +def _snapshot(svc): + return { + table: [tuple(row) for row in svc.store.conn.execute("SELECT * FROM " + table)] + for table in ("workspaces", "repos", "sessions", "memories", "operation_receipts") + } + + +def _approved(svc, content, **kwargs): + out = svc.remember(content, **kwargs) + svc.engine.approve_for_prompt(out["id"], reviewer="test", reason="routing fixture") + return out + + +def test_project_mapping_survives_service_reopen(tmp_path): + path = str(tmp_path / "routing.db") + first = MemoryService.create(path) + first.create_workspace("client-acme") + first.set_workspace_routing("client-acme", repo=" web ") + first.close() + second = MemoryService.create(path) + try: + assert second.get_workspace_routing("web") == { + "repo": "web", "workspace": "client-acme", "configured": True, "source": "project", + } + started = second.start_session(repo="web", agent="another-client") + assert started["workspace"] == "client-acme" + assert started["workspace_source"] == "project" + written = second.remember("Acme project fact.", repo="web") + assert written["workspace"] == "client-acme" + assert written["workspace_source"] == "project" + finally: + second.close() + + +def test_explicit_workspace_beats_mapping_and_default_is_a_real_choice(svc): + svc.create_workspace("acme") + svc.set_workspace_routing("acme", repo="web") + started = svc.start_session("default", repo="web") + assert (started["workspace"], started["workspace_source"]) == ("default", "explicit") + written = svc.remember("A deliberate default fact.", workspace="default", repo="web") + assert (written["workspace"], written["workspace_source"]) == ("default", "explicit") + + +def test_session_inheritance_beats_changed_mapping(svc): + started = svc.start_session("acme", repo="web") + svc.create_workspace("next-project") + svc.set_workspace_routing("next-project", repo="web") + written = svc.remember("Session's project fact.", session_id=started["session_id"]) + assert (written["workspace"], written["repo"], written["workspace_source"]) == ( + "acme", "web", "session", + ) + assert written["scope"] == "repo" + assert svc.store.get_memory(written["id"]).session_id == started["session_id"] + + +@pytest.mark.parametrize("kwargs", [ + {"workspace": "new-wrong-workspace"}, + {"repo": "new-wrong-repo"}, + {"workspace": "acme", "repo": "new-wrong-repo"}, +]) +def test_session_mismatches_create_no_rows(svc, kwargs): + started = svc.start_session("acme", repo="web") + before = _snapshot(svc) + with pytest.raises(ValidationError, match="does not belong"): + svc.remember("Must never be stored.", session_id=started["session_id"], **kwargs) + assert _snapshot(svc) == before + + +def test_workspace_only_session_rejects_supplied_repo_without_creating_it(svc): + started = svc.start_session("acme") + before = _snapshot(svc) + with pytest.raises(ValidationError, match="does not belong"): + svc.remember("Wrong project.", session_id=started["session_id"], repo="web") + assert _snapshot(svc) == before + + +def test_closed_or_unknown_session_never_falls_back(svc): + started = svc.start_session("acme", repo="web") + svc.end_session(started["session_id"]) + before = _snapshot(svc) + for session_id in (started["session_id"], "ses_missing"): + with pytest.raises(ValidationError): + svc.remember("Must not fall back.", session_id=session_id) + assert _snapshot(svc) == before + + +def test_mapping_removal_preserves_unrelated_settings(svc): + svc.create_workspace("acme") + wid = svc._lookup_workspace("acme") + rid = svc.store.get_or_create_repo(wid, "web", settings={"custom": {"keep": True}}) + svc.set_workspace_routing("acme", repo="web") + assert svc.set_workspace_routing("acme", repo="web", enabled=False) == { + "repo": "web", "workspace": None, "configured": False, "source": "default", + } + settings = svc.store.conn.execute("SELECT settings FROM repos WHERE id=?", (rid,)).fetchone() + assert json.loads(settings["settings"]) == {"custom": {"keep": True}} + assert svc.start_session(repo="web")["workspace"] == "default" + + +def test_changed_mapping_is_audited_and_identical_retries_are_noops(svc): + svc.create_workspace("acme") + svc.set_workspace_routing("acme", repo="web") + before = tuple(svc.store.conn.iterdump()) + svc.set_workspace_routing("acme", repo="web") + assert tuple(svc.store.conn.iterdump()) == before + svc.set_workspace_routing("acme", repo="web", enabled=False) + before = tuple(svc.store.conn.iterdump()) + svc.set_workspace_routing("acme", repo="web", enabled=False) + assert tuple(svc.store.conn.iterdump()) == before + rows = list(svc.store.conn.execute("SELECT actor, detail FROM audit WHERE action='workspace_routing'")) + assert [(row["actor"], row["detail"]) for row in rows] == [ + ("local", "project destination saved"), ("local", "project destination removed"), + ] + + +def test_copy_export_and_sync_never_duplicate_personal_routing(svc): + from engraphis.core.sync import SyncEngine + + svc.create_workspace("acme") + svc.set_workspace_routing("acme", repo="web") + _user("alice") + svc.set_workspace_routing("acme", repo="web") + set_current_user(None) + svc.copy_workspace("acme", "copied") + assert svc.get_workspace_routing("web")["workspace"] == "acme" + copied_settings = svc.store.conn.execute( + "SELECT settings FROM repos WHERE workspace_id=?", (svc._lookup_workspace("copied"),), + ).fetchone()["settings"] + assert "workspace_routing" not in json.loads(copied_settings) + exported = svc.export_workspace(workspace="acme") + assert all("workspace_routing" not in json.loads(repo["settings"]) for repo in exported["repos"]) + sync_bundle = SyncEngine(svc.store).export_bundle(svc._lookup_workspace("acme")) + assert "workspace_routing" not in json.dumps(sync_bundle) + assert "usr_alice" not in json.dumps(sync_bundle) + + +def test_whole_workspace_merge_keeps_each_principals_project_choice(svc): + svc.create_workspace("source") + svc.create_workspace("target") + rid = svc.store.get_or_create_repo(svc._lookup_workspace("target"), "web", settings={"keep": 1}) + _user("alice") + svc.set_workspace_routing("source", repo="web") + _user("bob") + svc.set_workspace_routing("target", repo="web") + set_current_user(None) + svc.merge_workspaces("source", "target") + for principal in ("alice", "bob"): + _user(principal) + assert svc.get_workspace_routing("web")["workspace"] == "target" + settings = json.loads(svc.store.conn.execute("SELECT settings FROM repos WHERE id=?", (rid,)).fetchone()[0]) + assert settings["keep"] == 1 + + +def test_retarget_updates_only_callers_mapping(svc): + svc.create_workspace("one") + svc.create_workspace("two") + _user("alice") + svc.set_workspace_routing("one", repo="web") + _user("bob") + assert svc.get_workspace_routing("web")["configured"] is False + svc.set_workspace_routing("one", repo="web") + _user("alice") + svc.set_workspace_routing("two", repo="web") + assert svc.get_workspace_routing("web")["workspace"] == "two" + _user("bob") + assert svc.get_workspace_routing("web")["workspace"] == "one" + set_current_user(None) + assert svc.get_workspace_routing("web")["configured"] is False + + +def test_another_users_session_cannot_route_writes_or_reads(svc): + svc.create_workspace("shared") + _user("alice") + started = svc.start_session("shared", repo="web") + _user("bob") + before = _snapshot(svc) + with pytest.raises(ValidationError, match="another user"): + svc.remember("Unauthorized session.", session_id=started["session_id"]) + with pytest.raises(ValidationError, match="another user"): + svc.recall("private fact", session_id=started["session_id"]) + assert _snapshot(svc) == before + + +def test_inaccessible_saved_mapping_does_not_fall_back_or_get_overwritten(svc): + svc.create_workspace("one") + svc.create_workspace("two") + svc.set_workspace_routing("one", repo="web") + bound = MemoryService(svc.engine, allowed_workspaces=["two", "default"]) + before = _snapshot(svc) + for operation in ( + lambda: bound.get_workspace_routing("web"), + lambda: bound.start_session(repo="web"), + lambda: bound.remember("Denied routing.", repo="web"), + lambda: bound.set_workspace_routing("two", repo="web"), + ): + with pytest.raises(ValidationError): + operation() + assert _snapshot(svc) == before + # A deliberate explicit workspace does not consult an irrelevant saved mapping. + assert bound.start_session("two", repo="web")["workspace_source"] == "explicit" + + +def test_ambiguous_mapping_fails_until_explicitly_replaced(svc): + for name in ("one", "two"): + svc.create_workspace(name) + svc.store.get_or_create_repo(svc._lookup_workspace(name), "web", settings={ + "workspace_routing": {"local": True}, + }) + before = _snapshot(svc) + with pytest.raises(ValidationError, match="ambiguous"): + svc.remember("Do not guess between projects.", repo="web") + assert _snapshot(svc) == before + assert svc.set_workspace_routing("two", repo="web")["workspace"] == "two" + + +@pytest.mark.parametrize("repo", ["", " "]) +def test_saving_empty_project_is_rejected_before_creating_rows(svc, repo): + svc.create_workspace("acme") + before = _snapshot(svc) + with pytest.raises(ValidationError): + svc.set_workspace_routing("acme", repo=repo) + assert _snapshot(svc) == before + + +def test_recall_mapping_session_and_explicit_workspace_stay_isolated(svc): + acme = _approved(svc, "The falcon build uses pnpm.", workspace="acme", repo="web") + other = _approved(svc, "The falcon build uses npm.", workspace="other", repo="web") + svc.set_workspace_routing("acme", repo="web") + mapped = svc.recall("falcon build", repo="web") + assert {item["id"] for item in mapped["memories"]} == {acme["id"]} + explicit = svc.recall("falcon build", workspace="other", repo="web") + assert {item["id"] for item in explicit["memories"]} == {other["id"]} + session = svc.start_session("other", repo="web") + inherited = svc.recall("falcon build", session_id=session["session_id"]) + assert {item["id"] for item in inherited["memories"]} == {other["id"]} + grounded = svc.grounded_recall("falcon build", session_id=session["session_id"]) + assert {item["id"] for item in grounded["citations"]} <= {other["id"]} + + +def test_unmapped_repo_reads_default_but_no_context_local_read_remains_broad(svc): + _approved(svc, "Falcon compiler policy.", workspace="other", repo="web") + assert svc.recall("falcon", repo="web")["count"] == 0 + assert svc.recall("falcon")["count"] == 1 + assert svc.start_session()["workspace_source"] == "default" + assert svc.remember("Context-free fallback.")["workspace"] == "default" + + +def test_http_routing_and_session_write_share_the_service_resolver(svc, monkeypatch): + pytest.importorskip("fastapi") + from fastapi import FastAPI + from fastapi.testclient import TestClient + from engraphis.routes import v2_api + + monkeypatch.setattr(v2_api, "service", lambda: svc) + app = FastAPI() + app.include_router(v2_api.router) + svc.create_workspace("acme") + with TestClient(app) as client: + assert client.get("/api/workspace-routing", params={"repo": "web"}).json() == { + "repo": "web", "workspace": None, "configured": False, "source": "default", + } + saved = client.post("/api/workspace-routing", json={"workspace": "acme", "repo": "web"}) + assert saved.status_code == 200 + assert saved.json()["workspace"] == "acme" + rejected = client.post("/api/workspace-routing", json={"workspace": "acme", "repo": ""}) + assert rejected.status_code == 422 + started = svc.start_session(repo="web") + written = client.post("/api/remember", json={ + "content": "HTTP session inheritance.", "session_id": started["session_id"], + }) + assert written.status_code == 200 + assert written.json()["workspace"] == "acme" + assert written.json()["workspace_source"] == "session" + + +def test_smart_mcp_protocol_and_discovery_route_without_exposing_extra_tools(svc, monkeypatch): + pytest.importorskip("mcp") + from engraphis import mcp_server as server + + monkeypatch.setattr(server, "_service", svc) + svc.create_workspace("acme") + found = json.loads(server.engraphis_discover_actions("save project workspace routing")) + action = found["actions"][0] + saved = server.engraphis_execute_action( + action["capability_id"], action["schema_digest"], {"workspace": "acme", "repo": "web"}, + ) + assert json.loads(saved)["result"]["workspace"] == "acme" + response = asyncio.run(server.smart_mcp.call_tool("engraphis_session", { + "repo": "web", "goal": "Build falcon", "token_budget": 64, + })) + blocks = response[0] if isinstance(response, tuple) else response + started = json.loads(blocks[0].text) + assert started["workspace"] == "acme" + assert started["workspace_source"] == "project" + written = json.loads(server.smart_remember("MCP session inheritance.", session_id=started["session_id"])) + assert written["workspace"] == "acme" + assert written["workspace_source"] == "session" + listed = json.loads(server.engraphis_list_workspaces()) + assert [item["name"] for item in listed["workspaces"]] == ["acme"] + + +@pytest.mark.parametrize("keyword_fallback", [False, True]) +def test_http_recall_context_respects_project_and_session_boundaries(svc, monkeypatch, keyword_fallback): + pytest.importorskip("fastapi") + from fastapi import FastAPI + from fastapi.testclient import TestClient + from engraphis.routes import v2_api + + monkeypatch.setattr(v2_api, "service", lambda: svc) + monkeypatch.setattr(v2_api, "_default_ws", lambda: "other") + project = _approved(svc, "Falcon build project policy.", workspace="acme", repo="web") + _approved(svc, "Falcon build unrelated project.", workspace="acme", repo="backend") + legacy = _approved(svc, "Falcon build dashboard default.", workspace="other") + session = svc.start_session("acme", repo="web") + private = _approved(svc, "Falcon build session detail.", session_id=session["session_id"], + scope="session") + other_session = svc.start_session("acme", repo="web", force_new=True) + _approved(svc, "Falcon build another session.", session_id=other_session["session_id"], + scope="session") + svc.set_workspace_routing("acme", repo="web") + if keyword_fallback: + def mismatch(*args, **kwargs): + raise ValueError("shapes not aligned") + monkeypatch.setattr(svc, "recall", mismatch) + app = FastAPI() + app.include_router(v2_api.router) + with TestClient(app) as client: + mapped = client.get("/api/recall", params={"q": "Falcon", "repo": "web"}) + assert mapped.status_code == 200 + assert mapped.json()["workspace_source"] == "project" + assert {item["id"] for item in mapped.json()["memories"]} == {project["id"]} + inherited = client.get("/api/recall", params={"q": "Falcon", "session_id": session["session_id"]}) + assert inherited.status_code == 200 + assert inherited.json()["workspace_source"] == "session" + assert {item["id"] for item in inherited.json()["memories"]} == {project["id"], private["id"]} + context_free = client.get("/api/recall", params={"q": "Falcon"}) + assert {item["id"] for item in context_free.json()["memories"]} == {legacy["id"]} + mismatch = client.get("/api/recall", params={ + "q": "Falcon", "workspace": "other", "session_id": session["session_id"], + }) + assert mismatch.status_code == 400 + if not keyword_fallback: + intent = client.post("/api/intent/recall", json={ + "query": "Falcon", "session_id": session["session_id"], + }) + assert intent.status_code == 200 + assert intent.json()["workspace_source"] == "session" + assert {item["id"] for item in intent.json()["memories"]} == {project["id"], private["id"]} + + +def test_intent_writes_and_grounded_answers_inherit_routing(svc, monkeypatch): + pytest.importorskip("fastapi") + pytest.importorskip("httpx") + from fastapi import FastAPI + from fastapi.testclient import TestClient + from engraphis.routes import v2_api + + monkeypatch.setattr(v2_api, "service", lambda: svc) + monkeypatch.setattr(v2_api, "_default_ws", lambda: "other") + fact = _approved(svc, "The falcon build uses pnpm.", workspace="acme", repo="web") + _approved(svc, "The falcon build uses npm.", workspace="other", repo="web") + svc.set_workspace_routing("acme", repo="web") + session = svc.start_session(repo="web")["session_id"] + app = FastAPI() + app.include_router(v2_api.router) + with TestClient(app) as client: + saved = client.post("/api/intent/remember", json={"text": "Use staged deploys.", "session_id": session}) + assert saved.status_code == 200 + assert saved.json()["workspace"] == "acme" and saved.json()["repo"] == "web" + for context in ({"repo": "web"}, {"session_id": session}): + answer = client.post("/api/answer", json={"query": "The falcon build uses pnpm.", **context}) + assert answer.status_code == 200 + assert {item["id"] for item in answer.json()["citations"]} == {fact["id"]} + for route, payload in (("/api/answer", {"query": "falcon"}), + ("/api/intent/remember", {"text": "Do not misroute."})): + rejected = client.post(route, json={**payload, "workspace": "other", "session_id": session}) + assert rejected.status_code == 400 + + +@pytest.mark.parametrize("with_session", [False, True]) +def test_keyword_fallback_keeps_legacy_user_ancestors(svc, monkeypatch, with_session): + pytest.importorskip("fastapi") + from engraphis.routes import v2_api + + fact = _approved(svc, "Falcon legacy preference.", workspace="acme") + svc.store.conn.execute("UPDATE memories SET scope='user' WHERE id=?", (fact["id"],)) + svc.store.conn.commit() + session = svc.start_session("acme", repo="web")["session_id"] if with_session else None + svc.store.get_or_create_repo(svc._lookup_workspace("acme"), "web") + monkeypatch.setattr(v2_api, "service", lambda: svc) + out = v2_api._keyword_search("acme", "Falcon", 8, repo="web", session_id=session) + assert fact["id"] in {item["id"] for item in out} From c848591dbe78021240820ee8019665372740cca5 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 04:27:58 -0400 Subject: [PATCH 14/64] Integrate consented managed Jev with saved Cloud sessions --- .env.example | 10 +- README.md | 2 +- docs/AGENT_CONNECT.md | 2 +- docs/HOSTED_PLANS.md | 33 ++- docs/HOSTING_RAILWAY.md | 2 +- docs/KILO_CODE_INTEGRATION.md | 2 +- docs/LICENSING.md | 2 +- docs/MCP_CONTRACT.json | 24 +- docs/MCP_TOOLS.md | 2 +- docs/SYNC.md | 2 +- engraphis/backends/jev_decision.py | 213 ++------------- engraphis/backends/jev_transport.py | 379 ++++++++++++++++++++++++++ engraphis/commercial_manifest.json | 6 +- engraphis/config.py | 19 +- engraphis/hosted_client.py | 4 +- engraphis/mcp_server.py | 254 ++++++++--------- scripts/check_commercial_manifest.py | 4 +- scripts/init.py | 44 ++- tests/test_hosted_client.py | 6 +- tests/test_hosted_plan_resolution.py | 10 +- tests/test_init.py | 9 +- tests/test_jev_backend.py | 89 ++---- tests/test_jev_transport.py | 238 ++++++++++++++++ tests/test_licensing_boundary_docs.py | 2 +- tests/test_mcp_jev_consent.py | 86 ++++++ tests/test_mcp_server.py | 15 +- 26 files changed, 976 insertions(+), 483 deletions(-) create mode 100644 engraphis/backends/jev_transport.py create mode 100644 tests/test_jev_transport.py create mode 100644 tests/test_mcp_jev_consent.py diff --git a/.env.example b/.env.example index 9a8d549d..7732e178 100644 --- a/.env.example +++ b/.env.example @@ -139,15 +139,15 @@ ENGRAPHIS_RETENTION_SUPERVISOR=none # ENGRAPHIS_GRAPH_PORT=8720 # ── System 1 Decision Gating (TypeSafe AI Jev) ─────────────────────────── -# Sub-300ms micro-decisions for agent tool guardrails, contradiction screening, -# grounded evidence support verification, and turn completion without frontier LLM cost. +# Advisory typed decisions for command screening and evidence assessment. +# Default none/local sends no requests; each remote call needs allow_remote=true. # Install key easily: engraphis-init --jev-key (or pipe via stdin: echo $KEY | engraphis-init --jev-key -) -# Pro & Team subscriptions include managed cloud proxy access (no key needed). +# Pro & Team include a managed allowance when enabled by the service (no personal key needed). # Community/BYOK users can set their own TypeSafe API key: # TYPESAFE_API_KEY= # JEV_API_KEY= # TYPESAFE_BASE_URL=https://api.typesafe.ai -# ENGRAPHIS_DECISION_BACKEND=typesafe +# ENGRAPHIS_DECISION_BACKEND=none # none | local | managed | auto | byok # ENGRAPHIS_DECISION_MODEL=jev-1.13.0 @@ -266,7 +266,7 @@ ENGRAPHIS_LLM_MODEL=gpt-4o-mini # ENGRAPHIS_STATE_DIR=/data/.engraphis # The private control plane may report ``workspace_write_grace`` for already-authorized -# hosted-account continuity, capped at 24 hours. It never extends the exact 3-day trial, +# hosted-account continuity, capped at 24 hours. It never extends the 7-day Pro or 14-day Team trial, # subscription expiry, or cloud access, and it never restricts the free local core. # Managed compute consent is decided automatically and needs no customer action: a diff --git a/README.md b/README.md index ba03fe44..ffa3f0d4 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ > and customer-side clients. Hosted sync, analytics, automation, and team services run on the > official hosted service; their server implementations are not distributed here. -> **Support continued Engraphis development with Pro.** [Start a 3-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) +> **Support continued Engraphis development with Pro.** [Start a 7-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) > or [subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing). --- diff --git a/docs/AGENT_CONNECT.md b/docs/AGENT_CONNECT.md index 0f6e7925..815123bf 100644 --- a/docs/AGENT_CONNECT.md +++ b/docs/AGENT_CONNECT.md @@ -156,7 +156,7 @@ Environment secrets are for non-interactive deployments that cannot run the conn ## Trial and grace -The no-card trial starts after email confirmation and lasts **3 active days for Pro or 10 active days for Team**. +The no-card trial starts after email confirmation and lasts **7 active days for Pro or 14 active days for Team**. `workspace_write_grace` is a private-control-plane account-continuity state capped at **24 hours**. It never extends the trial, hosted agent access, Team membership, seats, Cloud Sync, or managed compute, and it does not restrict the free local MCP server. diff --git a/docs/HOSTED_PLANS.md b/docs/HOSTED_PLANS.md index 163b670b..a035df9b 100644 --- a/docs/HOSTED_PLANS.md +++ b/docs/HOSTED_PLANS.md @@ -16,9 +16,9 @@ implementations are not part of this repository. | Local dashboard, memory engine, and MCP tools | Yes | Yes | Yes | | Local version history, graph, and manual consolidation | Yes | Yes | Yes | | Local workspace export | Yes | Yes | Yes | -| System 1 Decision Gating (Jev) | Free offline heuristics or BYOK | Included (Managed cloud proxy) | Included (Pooled team quota) | +| Advisory Jev decisions | Local heuristics; optional BYOK | Included managed allowance when enabled | Included pooled allowance when enabled | | Hosted Cloud Sync, Analytics, and managed automation | | Yes | Yes | -| Priority support | | Yes | Yes | +| Private account and billing support | | Yes | Yes | | Hosted multi-user dashboard, roles, seats, and audit export | | | Yes | | Per-user agent and sync tokens | | | Yes | @@ -26,10 +26,31 @@ Start or manage a hosted subscription in the [Engraphis account portal](https:// ## Included System 1 Decision Engine (Jev) -Pro and Team subscriptions include access to managed **System 1 decision gating powered by Jev (TypeSafe AI)** through the Engraphis Cloud proxy (`POST /v1/jev/decide`). This provides sub-300ms, zero-token-waste micro-decisions for agent tool guardrails, context pruning, contradiction resolution, and hallucination screening at no additional cost. Free and offline installations retain full access to deterministic local heuristics and optional Bring-Your-Own-Key (BYOK) operation without cloud connectivity. - - -The email-confirmed, no-card trial lasts three active days for Pro and ten active days for Team. If hosted entitlement expires, +Pro and Team include a managed allowance for advisory typed decisions through the private +Cloud service (`POST /v1/jev/decide`). This client implementation does not establish that a +particular deployment has enabled Jev; the service checks current entitlement and allowance. +Usage and availability are reported by the account portal. No latency, accuracy, or cost-saving +guarantee is established by client configuration or a successful health check. + +Set `ENGRAPHIS_DECISION_BACKEND=managed` and connect the installation through the ordinary +Cloud account flow. The client refreshes its saved session and sends only to that session's +bound control origin. `auto` chooses this managed route when configured; it never silently +switches to a personal TypeSafe key. Direct `byok` is an explicit alternative and may incur +charges from TypeSafe. Legacy `typesafe`, `jev`, and `system1` selectors mean BYOK. + +The default `none` and `local` selectors keep decisions local. Every remote MCP call also +requires `allow_remote=true` and `data_classification="public"` or `"internal"`; secret +content is rejected. This is permission for the supplied text only, not a standing permission +to upload memory. `offline_mode=true` always prevents remote requests. Known secret patterns +are filtered before credential refresh; this does not guarantee arbitrary prose is secret-free. + +The model is pinned to `jev-1.13.0`. Choice/score confidence is provider-supplied; Noul +confidence is explicitly labelled derived decisiveness, not measured calibration. Uncertain, +malformed, unavailable and fallback results remain distinguishable. Local heuristic confidence +is unmeasured. All decisions are advisory: deterministic authorization, memory governance, +executable checks and the user's approval remain authoritative. + +The email-confirmed, no-card trial lasts seven active days for Pro and fourteen active days for Team. If hosted entitlement expires, `workspace_write_grace` can retain only approved hosted-account continuity operations for up to 24 hours. It does not extend a trial or subscription, grant cloud access, or affect the free local tools. `recovery_read_only` supports hosted account recovery and export after grace. diff --git a/docs/HOSTING_RAILWAY.md b/docs/HOSTING_RAILWAY.md index 5197b8ca..7891f6d8 100644 --- a/docs/HOSTING_RAILWAY.md +++ b/docs/HOSTING_RAILWAY.md @@ -84,7 +84,7 @@ Before relying on the deployment, verify: - managed-service clients reject redirects and non-HTTPS remote endpoints; and - browser console output contains no CSP, accessibility, or network errors. -The hosted trial lasts **3 active days for Pro or 10 active days for Team** after email +The hosted trial lasts **7 active days for Pro or 14 active days for Team** after email confirmation. A separate `workspace_write_grace` allows only bounded hosted-account continuity operations for up to 24 hours; it never extends paid cloud access. Free local writes remain available without a hosted entitlement. diff --git a/docs/KILO_CODE_INTEGRATION.md b/docs/KILO_CODE_INTEGRATION.md index 06306a63..e3a21ae0 100644 --- a/docs/KILO_CODE_INTEGRATION.md +++ b/docs/KILO_CODE_INTEGRATION.md @@ -265,7 +265,7 @@ Smart command shown above. | **Ops** | `engraphis_stats` | Memory counts by type/workspace: health/onboarding checks. | | Ops | `engraphis_check_update` | Check the release source and refresh the persistent update cache. | | Maintenance | `engraphis_consolidate` | Pure dry-run or live sweep; structured calls may process a large cluster across retries. | -| Decision | `engraphis_decide` | Fast sub-300ms System 1 decision gating (command safety, contradiction check, support check, completion check). | +| Decision | `engraphis_decide` | Advisory command, contradiction, support, and completion checks. Remote processing requires backend selection and explicit permission for each call. | --- diff --git a/docs/LICENSING.md b/docs/LICENSING.md index 22084670..0a41ed0e 100644 --- a/docs/LICENSING.md +++ b/docs/LICENSING.md @@ -54,7 +54,7 @@ change the Apache license or prevent a fork from modifying code already released ## Trial, grace, and recovery -The server-issued trial lasts **3 active days for Pro or 10 active days for Team**. Grace is a +The server-issued trial lasts **7 active days for Pro or 14 active days for Team**. Grace is a separately named operational state and never extends either trial. `workspace_write_grace` can preserve bounded continuity operations for an already authorized diff --git a/docs/MCP_CONTRACT.json b/docs/MCP_CONTRACT.json index 7f30e4df..7bcdb234 100644 --- a/docs/MCP_CONTRACT.json +++ b/docs/MCP_CONTRACT.json @@ -1,6 +1,6 @@ { "schema": "engraphis-mcp-contract/v1", - "sha256": "eb10e4abaf5f236608db9082e8b2ea7e139281dadfd7fb1060baf74def40ff6e", + "sha256": "4d5affd83c11269820ee77145c5395827eff7afd437ba722966cdd82d6eaeffa", "surfaces": { "classic": [ { @@ -690,14 +690,26 @@ { "annotations": { "destructiveHint": false, - "idempotentHint": true, - "openWorldHint": false, - "readOnlyHint": true, + "idempotentHint": false, + "openWorldHint": true, + "readOnlyHint": false, "title": "System 1 decision gating (Jev / TypeSafe AI)" }, - "description": "Execute a fast (sub-300ms) System 1 micro-decision powered by Jev / TypeSafe AI.\n\nEvaluates command safety guardrails, fact contradiction screening, grounded evidence\nsupport verification, or turn completion without frontier LLM token waste.", + "description": "Request advisory typed decisions, with deterministic local fallback.\n\nBackend selection and per-call permission are both required for remote processing.\nDecisions do not authorize shell execution, memory mutation, or task completion.", "inputSchema": { "properties": { + "allow_remote": { + "default": false, + "description": "Explicitly permit this call's supplied text to leave this device.", + "title": "Allow Remote", + "type": "boolean" + }, + "data_classification": { + "default": "internal", + "description": "Remote text must be public or internal; secrets are rejected.", + "title": "Data Classification", + "type": "string" + }, "existing_content": { "default": "", "description": "Existing memory content (used for 'classify_contradiction').", @@ -722,7 +734,7 @@ }, "offline_mode": { "default": false, - "description": "Force deterministic local heuristics without remote calls.", + "description": "Use local heuristics; no remote calls.", "title": "Offline Mode", "type": "boolean" }, diff --git a/docs/MCP_TOOLS.md b/docs/MCP_TOOLS.md index 4c17fb1e..5382dc33 100644 --- a/docs/MCP_TOOLS.md +++ b/docs/MCP_TOOLS.md @@ -155,7 +155,7 @@ an omitted mode means it was not recorded, and is not inferred from current defa | Session | `engraphis_end_session` | Closes a work session with a summary and open threads. | | Operations | `engraphis_stats` | Returns memory counts for health checks. | | Operations | `engraphis_check_update` | Refreshes the release cache and reports whether a newer version is available. Update checks are OFF unless `ENGRAPHIS_UPDATE_CHECK` is set to an affirmative value; `=0` keeps them off. | -| Decision | `engraphis_decide` | Fast sub-300ms System 1 decision gating (command safety, contradiction classification, grounded support verification, completion checks) via TypeSafe Jev or local heuristics. | +| Decision | `engraphis_decide` | Advisory typed decisions with local fallback. Remote Jev requires an explicit backend and per-call `allow_remote=true`; missing, malformed, and uncertain answers stay visible. Smart discovery routes it through `engraphis_execute_action` because a remote call may consume allowance. | The classic recall, grounded, and answer tools (`engraphis_recall`, `engraphis_recall_grounded`, and the `engraphis_answer` alias) accept `planning="off"|"auto"`, diff --git a/docs/SYNC.md b/docs/SYNC.md index 7553dc28..1b0d2229 100644 --- a/docs/SYNC.md +++ b/docs/SYNC.md @@ -30,7 +30,7 @@ for pricing and included services. ## Trial and grace -The no-card Pro or Team trial begins after email confirmation and lasts **3 active days for Pro or 10 active days for Team**. +The no-card Pro or Team trial begins after email confirmation and lasts **7 active days for Pro or 14 active days for Team**. `workspace_write_grace` is separate and private-service enforced. It may preserve bounded hosted-account continuity operations for at most **24 hours** following an authoritative diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index c22df8bd..5f2d4790 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -68,6 +68,8 @@ def allow_fallback(self) -> bool: ... def evaluate( self, state: str, questions: Sequence[DecisionQuestion], *, model: str, + allow_remote: bool = False, purpose: str = "custom", + data_classification: str = "internal", ) -> DecisionBatch: ... @@ -81,199 +83,24 @@ def get_decision_backend( model: Optional[str] = None, offline_mode: bool = False, ) -> Optional[JevDecisionBackend]: selected = (name or os.environ.get("ENGRAPHIS_DECISION_BACKEND", "none")).strip().lower() - if selected in ("jev", "typesafe", "system1", "auto"): + if selected in ("jev", "typesafe", "system1", "byok", "managed", "auto"): backend = JevDecisionBackend(client=client, model=model, offline_mode=offline_mode) if backend.is_available: return backend return None -@dataclass(frozen=True) -class SimpleChoiceDecision: - selected: str - confidence: float - - -@dataclass(frozen=True) -class SimpleSupportDecision: - probability: float - confidence: float - - -@dataclass -class CloudDecisionBatch: - is_fallback: bool - choices: Dict[str, SimpleChoiceDecision] - nouls: Dict[str, SimpleSupportDecision] - - def get_choice(self, question_id: str) -> Optional[ChoiceDecision]: - return self.choices.get(question_id) - - def get_noul(self, question_id: str) -> Optional[SupportDecision]: - return self.nouls.get(question_id) - - -class EngraphisCloudDecisionClient: - """DecisionClient that proxies requests through the Engraphis Cloud control plane. - - Included for Pro and Team subscriptions without requiring a separate TypeSafe API key. - """ - - def __init__( - self, - *, - control_url: Optional[str] = None, - token: Optional[str] = None, - timeout_s: float = 2.0, - ) -> None: - self.control_url = (control_url or os.environ.get("ENGRAPHIS_CLOUD_CONTROL_URL", "https://api.engraphis.com")).rstrip("/") - self.token = token or os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "") - self.timeout_s = timeout_s - - @property - def is_configured(self) -> bool: - return bool(self.token and self.token.strip() and self.control_url) - - @property - def allow_fallback(self) -> bool: - return False - - def evaluate( - self, state: str, questions: Sequence[DecisionQuestion], *, model: str, - ) -> DecisionBatch: - import json - import urllib.request - - payload = { - "model": model, - "state": state, - "questions": [q.to_dict() for q in questions], - } - url = f"{self.control_url}/v1/jev/decide" - data = json.dumps(payload).encode("utf-8") - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {self.token}", - "User-Agent": "engraphis-cloud-decision/1.0", - } - req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with urllib.request.urlopen(req, timeout=self.timeout_s) as resp: - body = json.loads(resp.read().decode("utf-8")) - raw_decisions = body.get("decisions", {}) - choices: Dict[str, SimpleChoiceDecision] = {} - nouls: Dict[str, SimpleSupportDecision] = {} - for q_id, val in raw_decisions.items(): - kind = val.get("type") - conf = float(val.get("confidence", 1.0)) - if kind == "choice": - choices[q_id] = SimpleChoiceDecision(selected=str(val.get("selected", "")), confidence=conf) - elif kind == "noul": - nouls[q_id] = SimpleSupportDecision(probability=float(val.get("probability", 0.0)), confidence=conf) - return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) - - -def create_cloud_decision_client( - *, - control_url: Optional[str] = None, - token: Optional[str] = None, - timeout_s: float = 2.0, -) -> EngraphisCloudDecisionClient: - """Create a DecisionClient that proxies Jev decisions via Engraphis Cloud (Pro/Team).""" - return EngraphisCloudDecisionClient(control_url=control_url, token=token, timeout_s=timeout_s) - - -class TypeSafeDecisionClient: - """DecisionClient connecting directly to TypeSafe AI via an API key (Bring Your Own Key). - - Implements the DecisionClient protocol using only standard library urllib. - Loads TYPESAFE_API_KEY or JEV_API_KEY from the process environment if not supplied explicitly. - """ - - def __init__( - self, - *, - api_key: Optional[str] = None, - base_url: Optional[str] = None, - timeout_s: float = 2.0, - ) -> None: - self.api_key = api_key or os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY") or "" - self.base_url = (base_url or os.environ.get("TYPESAFE_BASE_URL") or "https://api.typesafe.ai").rstrip("/") - self.timeout_s = timeout_s - - @property - def is_configured(self) -> bool: - return bool(self.api_key and self.api_key.strip() and self.api_key not in ("mock", "offline")) - - @property - def allow_fallback(self) -> bool: - return False - - def evaluate( - self, state: str, questions: Sequence[DecisionQuestion], *, model: str, - ) -> DecisionBatch: - import json - import urllib.request - - questions_payload: Dict[str, object] = {} - for q in questions: - if q.kind == "choice": - criteria = {opt: opt for opt in q.options} if q.options else {"yes": "yes", "no": "no"} - questions_payload[q.id] = { - "type": "choice", - "instructions": q.prompt, - "criteria": criteria, - } - elif q.kind == "score": - questions_payload[q.id] = { - "type": "score", - "instructions": q.prompt, - } - else: - questions_payload[q.id] = { - "type": "noul", - "instructions": q.prompt, - } - - payload = { - "model": model, - "state": state, - "questions": questions_payload, - } - url = f"{self.base_url}/v1/systemone" - data = json.dumps(payload).encode("utf-8") - headers = { - "Content-Type": "application/json", - "Authorization": f"Bearer {self.api_key}", - "User-Agent": "engraphis-typesafe-client/1.0", - } - req = urllib.request.Request(url, data=data, headers=headers, method="POST") - with urllib.request.urlopen(req, timeout=self.timeout_s) as resp: - body = json.loads(resp.read().decode("utf-8")) - raw = body.get("answers") or body.get("decisions") or {} - choices: Dict[str, SimpleChoiceDecision] = {} - nouls: Dict[str, SimpleSupportDecision] = {} - for q_id, val in raw.items(): - kind = val.get("type") - conf = float(val.get("confidence", 1.0)) - if kind == "choice": - selected = str(val.get("choice") if "choice" in val else val.get("selected", "")) - choices[q_id] = SimpleChoiceDecision(selected=selected, confidence=conf) - elif kind == "noul": - prob = float(val.get("noul") if "noul" in val else val.get("probability", 0.0)) - nouls[q_id] = SimpleSupportDecision(probability=prob, confidence=conf) - return CloudDecisionBatch(is_fallback=False, choices=choices, nouls=nouls) - - -def create_typesafe_decision_client( - *, - api_key: Optional[str] = None, - base_url: Optional[str] = None, - timeout_s: float = 2.0, -) -> TypeSafeDecisionClient: - """Create a DecisionClient that connects directly to TypeSafe AI using an API key.""" - return TypeSafeDecisionClient(api_key=api_key, base_url=base_url, timeout_s=timeout_s) - - +# Public compatibility imports; transports are kept separate from the advisory adapter. +from engraphis.backends.jev_transport import ( # noqa: E402,F401 + CloudDecisionBatch, + EngraphisCloudDecisionClient, + SimpleChoiceDecision, + SimpleSupportDecision, + TypeSafeDecisionClient, + create_cloud_decision_client, + create_typesafe_decision_client, + select_decision_client, +) class JevDecisionBackend: @@ -303,6 +130,7 @@ def is_available(self) -> bool: def _evaluate( self, state: str, question: DecisionQuestion, allow_remote: bool, + purpose: str, data_classification: str, ) -> Optional[DecisionBatch]: if allow_remote is not True or len(state) > MAX_STATE_CHARS or not self.is_available: return None @@ -310,7 +138,8 @@ def _evaluate( if client is None or model is None: return None try: - batch = client.evaluate(state, [question], model=model) + batch = client.evaluate(state, [question], model=model, allow_remote=True, + purpose=purpose, data_classification=data_classification) return batch if batch.is_fallback is False else None except Exception: # Provider exceptions may contain request text or credentials. Do not log them. @@ -318,6 +147,7 @@ def _evaluate( def classify_contradiction( self, candidate_text: str, existing_memory: MemoryRecord, *, allow_remote: bool = False, + data_classification: str = "internal", ) -> Tuple[str, float]: """Return an advisory relationship, or ('orthogonal', 0.0) to defer. @@ -332,7 +162,8 @@ def classify_contradiction( "verdict", "Classify the relationship between the candidate and existing fact.", "choice", ("contradicts_and_supersedes", "reinforces", "orthogonal"), ) - batch = self._evaluate(state, question, allow_remote) + batch = self._evaluate(state, question, allow_remote, "classify_contradiction", + data_classification) try: decision = batch.get_choice("verdict") if batch is not None else None if (decision is not None and decision.selected in _VERDICTS @@ -344,6 +175,7 @@ def classify_contradiction( def verify_grounded_support( self, query: str, evidence_text: str, *, allow_remote: bool = False, + data_classification: str = "internal", ) -> Tuple[bool, float]: """Return advisory support; absent or uncertain evidence never certifies it.""" if not query.strip() or not evidence_text.strip(): @@ -352,7 +184,8 @@ def verify_grounded_support( question = DecisionQuestion( "has_support", "Does the evidence directly support answering the query?", "noul", ) - batch = self._evaluate(state, question, allow_remote) + batch = self._evaluate(state, question, allow_remote, "verify_support", + data_classification) try: decision = batch.get_noul("has_support") if batch is not None else None if (decision is not None and _probability(decision.probability) diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py new file mode 100644 index 00000000..ac949a34 --- /dev/null +++ b/engraphis/backends/jev_transport.py @@ -0,0 +1,379 @@ +"""Explicitly authorized Jev transports and strict typed wire validation. + +Construction and configuration inspection never make network requests. Managed +requests use the normal rotating Cloud session and its credential-bound origin. +Only fixed error categories leave this module; response bodies are never logged. +""" +from __future__ import annotations + +import json +import math +import os +import re +import time +import urllib.error +import urllib.request +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Dict, Optional, Sequence +from urllib.parse import urlsplit + +if TYPE_CHECKING: + from engraphis.backends.jev_decision import DecisionQuestion + +MODEL = "jev-1.13.0" +MAX_REQUEST_BYTES = 24 * 1024 +MAX_RESPONSE_BYTES = 256 * 1024 +_PURPOSES = {"guard_command", "classify_contradiction", "verify_support", "verify_completion", "custom"} +_SECRETS = ( + re.compile(r"-----BEGIN [A-Z ]*PRIVATE KEY-----"), + re.compile(r"\b(?:sk-[A-Za-z0-9_-]{16,}|gh[pousr]_[A-Za-z0-9]{20,}|" + r"xox[baprs]-[A-Za-z0-9-]{16,}|AKIA[A-Z0-9]{16}|" + r"engr_(?:rt|dev)_[A-Za-z0-9_-]{16,})\b"), + re.compile(r"\bBearer\s+[A-Za-z0-9._~-]{12,}", re.IGNORECASE), + re.compile(r"(?i)\b(?:api[_ -]?key|password|secret|access[_ -]?token)\b" + r"[\"']?\s*[:=]\s*[\"']?[A-Za-z0-9/+_.~-]{8,}"), + re.compile(r"\beyJ[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\b"), +) + + +class DecisionClientError(RuntimeError): + def __init__(self, code: str) -> None: + self.code = code + super().__init__(code) + + +@dataclass(frozen=True) +class SimpleChoiceDecision: + selected: str + confidence: float + confidence_source: str = "provider" + + +@dataclass(frozen=True) +class SimpleSupportDecision: + probability: float + confidence: float + confidence_source: str = "derived_decisiveness" + + +@dataclass(frozen=True) +class SimpleScoreDecision: + score: float + confidence: float + probabilities: Dict[str, float] + legend: Dict[str, str] + confidence_source: str = "provider" + + +@dataclass +class CloudDecisionBatch: + is_fallback: bool + choices: Dict[str, SimpleChoiceDecision] + nouls: Dict[str, SimpleSupportDecision] + scores: Dict[str, SimpleScoreDecision] = field(default_factory=dict) + + def get_choice(self, question_id: str) -> Optional[SimpleChoiceDecision]: + return self.choices.get(question_id) + + def get_noul(self, question_id: str) -> Optional[SimpleSupportDecision]: + return self.nouls.get(question_id) + + def get_score(self, question_id: str) -> Optional[SimpleScoreDecision]: + return self.scores.get(question_id) + + +def _number(value: object, maximum: float = 1.0) -> float: + if (type(value) not in (int, float) or not isinstance(value, (int, float)) + or not math.isfinite(value) or not 0 <= value <= maximum): + raise DecisionClientError("malformed_response") + return float(value) + + +def _distribution(value: object, keys: set) -> Dict[str, float]: + if not isinstance(value, dict) or set(value) != keys: + raise DecisionClientError("malformed_response") + result = {key: _number(probability) for key, probability in value.items()} + if not math.isclose(sum(result.values()), 1.0, abs_tol=0.001): + raise DecisionClientError("malformed_response") + return result + + +def parse_decision_batch( + body: object, questions: Sequence[DecisionQuestion], *, normalized: bool, +) -> CloudDecisionBatch: + if not isinstance(body, dict) or body.get("model") != MODEL: + raise DecisionClientError("malformed_response") + fallback = body.get("is_fallback", False) + if type(fallback) is not bool: + raise DecisionClientError("malformed_response") + if fallback: + return CloudDecisionBatch(True, {}, {}) + values = body.get("decisions" if normalized else "answers") + if not isinstance(values, dict) or set(values) != {q.id for q in questions}: + raise DecisionClientError("malformed_response") + batch = CloudDecisionBatch(False, {}, {}) + for question in questions: + answer = values[question.id] + if not isinstance(answer, dict) or answer.get("type") != question.kind: + raise DecisionClientError("malformed_response") + if question.kind == "noul": + probability = _number(answer.get("probability" if normalized else "noul")) + confidence = abs(2 * probability - 1) + if normalized and ( + answer.get("confidence_source") != "derived_decisiveness" + or not math.isclose(_number(answer.get("confidence")), confidence, abs_tol=1e-9) + ): + raise DecisionClientError("malformed_response") + batch.nouls[question.id] = SimpleSupportDecision(probability, confidence) + elif question.kind == "choice": + selected = answer.get("selected" if normalized else "choice") + if not isinstance(selected, str) or selected not in question.options: + raise DecisionClientError("malformed_response") + probabilities = _distribution(answer.get("probabilities"), set(question.options)) + if probabilities[selected] + 0.000001 < max(probabilities.values()): + raise DecisionClientError("malformed_response") + confidence = _number(answer.get("confidence")) + if normalized and answer.get("confidence_source") != "provider": + raise DecisionClientError("malformed_response") + batch.choices[question.id] = SimpleChoiceDecision(selected, confidence) + elif question.kind == "score": + legend = {str(index): label for index, label in enumerate(question.options)} + if answer.get("legend") != legend: + raise DecisionClientError("malformed_response") + probabilities = _distribution(answer.get("probabilities"), set(legend)) + score = _number(answer.get("score"), len(question.options) - 1) + weighted = sum(int(index) * probability for index, probability in probabilities.items()) + if not math.isclose(score, weighted, abs_tol=0.01): + raise DecisionClientError("malformed_response") + confidence = _number(answer.get("confidence")) + if normalized and answer.get("confidence_source") != "provider": + raise DecisionClientError("malformed_response") + batch.scores[question.id] = SimpleScoreDecision(score, confidence, probabilities, legend) + else: + raise DecisionClientError("malformed_response") + return batch + + +def _request_payload( + state: str, questions: Sequence[DecisionQuestion], model: str, *, + allow_remote: bool, purpose: str, data_classification: str, +) -> dict: + if allow_remote is not True: + raise DecisionClientError("remote_not_authorized") + if model != MODEL or purpose not in _PURPOSES or data_classification not in {"public", "internal"}: + raise DecisionClientError("invalid_request") + if (not isinstance(state, str) or not state.strip() or len(state) > 16000 + or not 1 <= len(questions) <= 4): + raise DecisionClientError("invalid_request") + texts = [state] + seen = set() + for q in questions: + if (not isinstance(q.id, str) or not re.fullmatch(r"[A-Za-z][A-Za-z0-9_-]{0,63}", q.id) + or q.id in seen or not isinstance(q.prompt, str) or not q.prompt.strip() + or len(q.prompt) > 1024 or q.kind not in {"choice", "noul", "score"}): + raise DecisionClientError("invalid_request") + seen.add(q.id) + if q.kind == "noul": + if q.options: + raise DecisionClientError("invalid_request") + elif not 2 <= len(q.options) <= 10: + raise DecisionClientError("invalid_request") + if any(not isinstance(option, str) or not option.strip() or len(option) > 256 + for option in q.options) or len(set(q.options)) != len(q.options): + raise DecisionClientError("invalid_request") + texts.extend((q.prompt, *q.options)) + if any(pattern.search(value) for value in texts for pattern in _SECRETS): + raise DecisionClientError("sensitive_content") + payload = {"model": model, "state": state, "questions": [q.to_dict() for q in questions], + "allow_remote": True, "purpose": purpose, "data_classification": data_classification} + if len(json.dumps(payload, ensure_ascii=False).encode()) > MAX_REQUEST_BYTES: + raise DecisionClientError("invalid_request") + return payload + + +def _timeout(value: float) -> float: + if type(value) not in (int, float) or not math.isfinite(value) or not 0 < value <= 15: + raise ValueError("decision timeout must be between zero and fifteen seconds") + return float(value) + + +class _NoRedirect(urllib.request.HTTPRedirectHandler): + def redirect_request(self, req, fp, code, msg, headers, newurl): + raise DecisionClientError("remote_unavailable") + + +def _post_json(url: str, token: str, payload: dict, timeout_s: float) -> object: + from engraphis.hosted_client import build_pinned_https_opener, validate_cloud_base_url + + try: + if (urlsplit(url).scheme != "https" or not token or token != token.strip() + or any(char.isspace() for char in token)): + raise DecisionClientError("invalid_configuration") + # Validation and DNS occur only inside an explicitly authorized call. + url = validate_cloud_base_url(url) + encoded = json.dumps(payload, ensure_ascii=False, allow_nan=False).encode() + if len(encoded) > MAX_REQUEST_BYTES: + raise DecisionClientError("invalid_request") + request = urllib.request.Request(url, data=encoded, method="POST", headers={ + "Authorization": "Bearer " + token, "Content-Type": "application/json", + "Accept": "application/json", "User-Agent": "engraphis-jev/1", + }) + deadline = time.monotonic() + timeout_s + with build_pinned_https_opener(_NoRedirect()).open(request, timeout=timeout_s) as response: + if response.status != 200: + raise DecisionClientError("remote_unavailable") + if response.headers.get("Content-Type", "").partition(";")[0].strip() != "application/json": + raise DecisionClientError("malformed_response") + size = response.headers.get("Content-Length", "") + if size and (not size.isdigit() or int(size) > MAX_RESPONSE_BYTES): + raise DecisionClientError("malformed_response") + raw = bytearray() + while True: + remaining = deadline - time.monotonic() + if remaining <= 0: + raise DecisionClientError("remote_timeout") + # HTTPResponse.read1 performs at most one raw read. Refresh its socket + # deadline so a slowly trickled body cannot renew the whole timeout. + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + if sock is not None: + sock.settimeout(remaining) + read = getattr(response, "read1", response.read) + chunk = read(min(8192, MAX_RESPONSE_BYTES + 1 - len(raw))) + if not chunk: + break + raw.extend(chunk) + if len(raw) > MAX_RESPONSE_BYTES: + raise DecisionClientError("malformed_response") + if time.monotonic() > deadline: + raise DecisionClientError("remote_timeout") + + def unique(pairs): + result = {} + for key, value in pairs: + if key in result: + raise DecisionClientError("malformed_response") + result[key] = value + return result + + def invalid(_value): + raise DecisionClientError("malformed_response") + + try: + return json.loads(bytes(raw).decode("utf-8"), object_pairs_hook=unique, + parse_constant=invalid) + except (UnicodeError, ValueError): + raise DecisionClientError("malformed_response") from None + except DecisionClientError: + raise + except urllib.error.HTTPError as exc: + code = "allowance_exhausted" if exc.code == 429 else "remote_unavailable" + exc.close() + raise DecisionClientError(code) from None + except TimeoutError: + raise DecisionClientError("remote_timeout") from None + except Exception: + raise DecisionClientError("remote_unavailable") from None + + +class EngraphisCloudDecisionClient: + """Managed allowance uses the saved Cloud login; no standalone bearer override.""" + + def __init__(self, *, timeout_s: float = 10.0) -> None: + self.timeout_s = _timeout(timeout_s) + + @property + def is_configured(self) -> bool: + from engraphis import cloud_session + try: + return cloud_session.configured(require_compute=False) + except Exception: + return False + + @property + def allow_fallback(self) -> bool: + return False + + def evaluate(self, state: str, questions: Sequence[DecisionQuestion], *, model: str, + allow_remote: bool = False, purpose: str = "custom", + data_classification: str = "internal") -> CloudDecisionBatch: + payload = _request_payload(state, questions, model, allow_remote=allow_remote, + purpose=purpose, data_classification=data_classification) + from engraphis import cloud_session + try: + before = cloud_session.credential_bound_control_url() + token, _organization, _compute = cloud_session.access_for_workspace( + None, require_compute=False, + ) + control = cloud_session.credential_bound_control_url() + if not before or control != before: + raise DecisionClientError("session_changed") + body = _post_json(control.rstrip("/") + "/v1/jev/decide", token, payload, self.timeout_s) + return parse_decision_batch(body, questions, normalized=True) + except DecisionClientError: + raise + except Exception: + raise DecisionClientError("remote_unavailable") from None + + +class TypeSafeDecisionClient: + """Explicit BYOK route to the pinned TypeSafe origin; never an automatic fallback.""" + + def __init__(self, *, api_key: Optional[str] = None, base_url: Optional[str] = None, + timeout_s: float = 10.0) -> None: + self.api_key = (api_key if api_key is not None else + os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY") or "") + self.base_url = (base_url if base_url is not None else + os.environ.get("TYPESAFE_BASE_URL", "https://api.typesafe.ai")).rstrip("/") + self.timeout_s = _timeout(timeout_s) + + @property + def is_configured(self) -> bool: + return bool(self.api_key and self.api_key.strip() == self.api_key + and self.api_key not in {"mock", "offline"} + and self.base_url == "https://api.typesafe.ai") + + @property + def allow_fallback(self) -> bool: + return False + + def evaluate(self, state: str, questions: Sequence[DecisionQuestion], *, model: str, + allow_remote: bool = False, purpose: str = "custom", + data_classification: str = "internal") -> CloudDecisionBatch: + _request_payload(state, questions, model, allow_remote=allow_remote, + purpose=purpose, data_classification=data_classification) + if not self.is_configured: + raise DecisionClientError("invalid_configuration") + wire: Dict[str, Dict[str, object]] = {} + for q in questions: + wire[q.id] = {"type": q.kind, "instructions": q.prompt} + if q.kind == "choice": + wire[q.id]["criteria"] = {label: label for label in q.options} + elif q.kind == "score": + wire[q.id]["criteria"] = list(q.options) + body = _post_json(self.base_url + "/v1/systemone", self.api_key, + {"model": model, "state": state, "questions": wire}, self.timeout_s) + return parse_decision_batch(body, questions, normalized=False) + + +def create_cloud_decision_client(*, timeout_s: float = 10.0) -> EngraphisCloudDecisionClient: + return EngraphisCloudDecisionClient(timeout_s=timeout_s) + + +def create_typesafe_decision_client(*, api_key: Optional[str] = None, + base_url: Optional[str] = None, + timeout_s: float = 10.0) -> TypeSafeDecisionClient: + return TypeSafeDecisionClient(api_key=api_key, base_url=base_url, timeout_s=timeout_s) + + +def select_decision_client(name: Optional[str] = None, *, offline_mode: bool = False): + selected = (name if name is not None else + os.environ.get("ENGRAPHIS_DECISION_BACKEND", "none")).strip().lower() + if offline_mode or selected in {"none", "local"}: + return None, "local_heuristic" + if selected in {"managed", "auto"}: + client = create_cloud_decision_client() + return (client, "engraphis_cloud") if client.is_configured else (None, "local_heuristic") + if selected in {"byok", "typesafe", "jev", "system1"}: + direct = create_typesafe_decision_client() + return (direct, "typesafe_byok") if direct.is_configured else (None, "local_heuristic") + return None, "local_heuristic" diff --git a/engraphis/commercial_manifest.json b/engraphis/commercial_manifest.json index 49141544..a8252205 100644 --- a/engraphis/commercial_manifest.json +++ b/engraphis/commercial_manifest.json @@ -12,15 +12,15 @@ "provider_price_ids_public": false }, "trial": { - "days": 3, + "days": 7, "card_required": false, "plans": [ "pro", "team" ], "days_by_plan": { - "pro": 3, - "team": 10 + "pro": 7, + "team": 14 } }, "entitlement_lifecycle": { diff --git a/engraphis/config.py b/engraphis/config.py index 2877e453..f7dde0d6 100644 --- a/engraphis/config.py +++ b/engraphis/config.py @@ -979,8 +979,8 @@ class Settings: default_factory=lambda: _env_bool("ENGRAPHIS_LLM_AUTO_EXTRACT", False) ) - # System 1 decision engine (Jev / TypeSafe AI): "none" (default), "typesafe" (BYOK), - # "cloud" (Engraphis Cloud Pro/Team proxy), or "auto" + # Advisory Jev decisions: "none" (default), "local", "managed", "auto" (managed + # when configured), or explicit "byok". Every remote call also needs permission. decision_backend: str = field( default_factory=lambda: _env("ENGRAPHIS_DECISION_BACKEND", "none").strip().lower() ) @@ -1071,8 +1071,19 @@ def vector_backend_identity(self) -> dict: @property def has_decision_backend(self) -> bool: - """Whether a System 1 decision engine backend is configured (BYOK or Cloud).""" - return bool(self.typesafe_api_key) or bool(os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN")) + """Configuration presence, not provider health or permission to send a request.""" + if self.decision_backend in {"byok", "typesafe", "jev", "system1"}: + from engraphis.backends.jev_transport import TypeSafeDecisionClient + return TypeSafeDecisionClient( + api_key=self.typesafe_api_key, base_url=self.typesafe_base_url, + ).is_configured + if self.decision_backend in {"managed", "auto"}: + from engraphis.cloud_session import configured + try: + return configured(require_compute=False) + except Exception: + return False + return False def __post_init__(self) -> None: """Validate critical settings and fail fast on configuration errors.""" diff --git a/engraphis/hosted_client.py b/engraphis/hosted_client.py index 317e0afb..a1931ac9 100644 --- a/engraphis/hosted_client.py +++ b/engraphis/hosted_client.py @@ -17,8 +17,8 @@ from urllib.parse import urlsplit, urlunsplit -TRIAL_DAYS = 3 -TRIAL_SECONDS = 3 * 24 * 60 * 60 +TRIAL_DAYS = 7 +TRIAL_SECONDS = 7 * 24 * 60 * 60 MAX_HOSTED_ACCOUNT_GRACE_SECONDS = 24 * 60 * 60 # Compatibility alias for clients released before the public/private boundary was made # explicit. The public local core is never paywalled; this duration belongs to private diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index 4f5c8d22..4b2c993f 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -2268,10 +2268,10 @@ def _heuristic_decision( name="engraphis_decide", annotations={ "title": "System 1 decision gating (Jev / TypeSafe AI)", - "readOnlyHint": True, + "readOnlyHint": False, "destructiveHint": False, - "idempotentHint": True, - "openWorldHint": False, + "idempotentHint": False, + "openWorldHint": True, }, ) def engraphis_decide( @@ -2345,152 +2345,118 @@ def engraphis_decide( ), ] = None, offline_mode: Annotated[ - bool, - Field( - default=False, - description="Force deterministic local heuristics without remote calls.", - ), + bool, Field(description="Use local heuristics; no remote calls."), + ] = False, + allow_remote: Annotated[ + bool, Field(description="Explicitly permit this call's supplied text to leave this device."), ] = False, + data_classification: Annotated[ + str, Field(description="Remote text must be public or internal; secrets are rejected."), + ] = "internal", ) -> str: - """Execute a fast (sub-300ms) System 1 micro-decision powered by Jev / TypeSafe AI. + """Request advisory typed decisions, with deterministic local fallback. - Evaluates command safety guardrails, fact contradiction screening, grounded evidence - support verification, or turn completion without frontier LLM token waste. + Backend selection and per-call permission are both required for remote processing. + Decisions do not authorize shell execution, memory mutation, or task completion. """ + from engraphis.backends.jev_decision import DecisionQuestion, _probability + from engraphis.backends.jev_transport import ( + MODEL, DecisionClientError, select_decision_client, + ) + + def fallback(reason: str) -> str: + result = _heuristic_decision(kind, state, query, existing_content, goal, recent_actions) + result.update({"decision_status": "local_fallback", "fallback_reason": reason, + "advisory_only": True, "confidence": None, + "confidence_source": "unmeasured_heuristic", + "probability_source": "heuristic"}) + if kind == "custom": + result["selected"] = None + return _ok(result) + + if offline_mode or allow_remote is not True: + return fallback("offline" if offline_mode else "remote_not_authorized") + if kind not in {"guard_command", "classify_contradiction", "verify_support", "verify_completion", "custom"}: + return fallback("invalid_request") try: - if not offline_mode: - from engraphis.backends.jev_decision import ( - DecisionQuestion, - JevDecisionBackend, - create_cloud_decision_client, - create_typesafe_decision_client, - ) - from engraphis.core.interfaces import MemoryRecord, MemoryType, Scope - - client = None - backend_name = "none" - if os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY"): - client = create_typesafe_decision_client() - backend_name = "typesafe_byok" - elif os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN"): - client = create_cloud_decision_client() - backend_name = "engraphis_cloud" - - model = os.environ.get("ENGRAPHIS_DECISION_MODEL", "jev-1.13.0") - backend = JevDecisionBackend(client=client, model=model) if client else None - - if backend is not None and backend.is_available: - if kind == "guard_command": - q_safe = DecisionQuestion( - "is_safe", - "Is this shell command safe to execute in automated agent mode without destructive data loss or secret leakage?", - "noul", - ) - q_cat = DecisionQuestion( - "category", - "Categorize this operation", - "choice", - ("read_only", "state_change", "destructive_or_leak"), - ) - batch = client.evaluate(state, [q_safe, q_cat], model=model) - if batch and not batch.is_fallback: - safe_noul = batch.get_noul("is_safe") - cat_choice = batch.get_choice("category") - prob = safe_noul.probability if safe_noul else 0.5 - cat = cat_choice.selected if cat_choice else "state_change" - allow = prob >= 0.90 and cat != "destructive_or_leak" - return _ok({ - "kind": kind, - "allow_auto": allow, - "escalate_to_user": not allow, - "safety_probability": prob, - "category": cat, - "confidence": safe_noul.confidence if safe_noul else 1.0, - "is_fallback": False, - "backend": backend_name, - }) - - elif kind == "classify_contradiction": - mem = MemoryRecord( - id="mem_target", - scope=Scope.WORKSPACE, - workspace_id="ws_1", - mtype=MemoryType.SEMANTIC, - title="Existing memory", - content=existing_content, - ) - verdict, conf = backend.classify_contradiction(state, mem, allow_remote=True) - return _ok({ - "kind": kind, - "verdict": verdict, - "confidence": conf, - "is_fallback": False, - "backend": backend_name, - }) - - elif kind == "verify_support": - supported, prob = backend.verify_grounded_support(query, state, allow_remote=True) - return _ok({ - "kind": kind, - "supported": supported, - "probability": prob, - "confidence": 1.0, - "is_fallback": False, - "backend": backend_name, - }) - - elif kind == "verify_completion": - full_state = f"GOAL: {goal}\nACTIONS: {recent_actions}\nOUTPUT: {state}" - q_comp = DecisionQuestion( - "is_complete", - "Has the task goal been verified and completely achieved?", - "noul", - ) - batch = client.evaluate(full_state, [q_comp], model=model) - if batch and not batch.is_fallback: - comp_noul = batch.get_noul("is_complete") - prob = comp_noul.probability if comp_noul else 0.5 - return _ok({ - "kind": kind, - "is_complete": prob >= 0.85, - "completion_probability": prob, - "confidence": comp_noul.confidence if comp_noul else 1.0, - "is_fallback": False, - "backend": backend_name, - }) - - elif kind == "custom": - q = DecisionQuestion( - "custom", - question or "Evaluate state", - "choice" if options else "noul", - tuple(options) if options else (), - ) - batch = client.evaluate(state, [q], model=model) - if batch and not batch.is_fallback: - if options: - c = batch.get_choice("custom") - return _ok({ - "kind": kind, - "selected": c.selected if c else "", - "confidence": c.confidence if c else 1.0, - "is_fallback": False, - "backend": backend_name, - }) - else: - n = batch.get_noul("custom") - return _ok({ - "kind": kind, - "probability": n.probability if n else 0.5, - "confidence": n.confidence if n else 1.0, - "is_fallback": False, - "backend": backend_name, - }) - - # Fallback to local heuristic - return _ok(_heuristic_decision(kind, state, query, existing_content, goal, recent_actions)) - except Exception as exc: # noqa: BLE001 - return _err(exc) + client, backend_name = select_decision_client() + if client is None: + return fallback("backend_not_configured") + model = os.environ.get("ENGRAPHIS_DECISION_MODEL", MODEL) + full_state = state + if kind == "guard_command": + questions = [ + DecisionQuestion("is_safe", "Is this command free of destructive data loss or secret leakage?", "noul"), + DecisionQuestion("category", "Categorize this operation", "choice", + ("read_only", "state_change", "destructive_or_leak")), + ] + elif kind == "classify_contradiction": + full_state = f"EXISTING FACT: {existing_content}\nNEW CANDIDATE FACT: {state}" + questions = [DecisionQuestion("verdict", "Classify the relationship between the facts.", + "choice", ("contradicts_and_supersedes", "reinforces", "orthogonal"))] + elif kind == "verify_support": + full_state = f"QUERY: {query}\nEVIDENCE: {state}" + questions = [DecisionQuestion("has_support", "Does this evidence directly support answering the query?", "noul")] + elif kind == "verify_completion": + full_state = f"GOAL: {goal}\nACTIONS: {recent_actions}\nOUTPUT: {state}" + questions = [DecisionQuestion("is_complete", "Does the supplied evidence establish the task goal?", "noul")] + else: + questions = [DecisionQuestion("custom", question or "Evaluate state", + "choice" if options else "noul", tuple(options or ()))] + batch = client.evaluate(full_state, questions, model=model, allow_remote=True, + purpose=kind, data_classification=data_classification) + if batch.is_fallback is not False: + return fallback("provider_fallback") + result = {"kind": kind, "backend": backend_name, "model": model, + "is_fallback": False, "advisory_only": True} + if kind == "classify_contradiction" or (kind == "custom" and options): + name = "verdict" if kind == "classify_contradiction" else "custom" + choice = batch.get_choice(name) + if (choice is None or choice.selected not in questions[0].options + or not _probability(choice.confidence)): + raise DecisionClientError("malformed_response") + result.update({"verdict" if kind == "classify_contradiction" else "selected": choice.selected, + "confidence": choice.confidence, + "confidence_source": getattr(choice, "confidence_source", "unknown"), + "decision_status": "decision" if choice.confidence > 0.5 else "uncertain"}) + else: + name = {"guard_command": "is_safe", "verify_support": "has_support", + "verify_completion": "is_complete", "custom": "custom"}[kind] + value = batch.get_noul(name) + if (value is None or not _probability(value.probability) + or not _probability(value.confidence)): + raise DecisionClientError("malformed_response") + probability = value.probability + certain = value.confidence > 0.5 and probability != 0.5 + result.update({"confidence": value.confidence, + "confidence_source": getattr(value, "confidence_source", "unknown"), + "decision_status": "decision" if certain else "uncertain"}) + if kind == "guard_command": + category = batch.get_choice("category") + if (category is None or category.selected not in questions[1].options + or not _probability(category.confidence)): + raise DecisionClientError("malformed_response") + if category.confidence <= 0.5: + result["decision_status"] = "uncertain" + allow = (certain and probability >= 0.90 and category.confidence > 0.5 + and category.selected == "read_only" + and not any(pattern.search(state) for pattern in _DESTRUCTIVE_PATTERNS)) + result.update({"allow_auto": allow, "escalate_to_user": not allow, + "safety_probability": probability, "category": category.selected, + "category_confidence": category.confidence}) + elif kind == "verify_support": + result.update({"supported": probability > 0.5 if certain else None, + "probability": probability}) + elif kind == "verify_completion": + result.update({"is_complete": probability >= 0.85 if certain else None, + "completion_probability": probability}) + else: + result["probability"] = probability + return _ok(result) + except DecisionClientError as exc: + return fallback(exc.code) + except Exception: # noqa: BLE001 - remote exceptions may contain private input or credentials + return fallback("remote_unavailable") @dataclass(frozen=True) diff --git a/scripts/check_commercial_manifest.py b/scripts/check_commercial_manifest.py index a2dcf7bf..0aa95e31 100644 --- a/scripts/check_commercial_manifest.py +++ b/scripts/check_commercial_manifest.py @@ -106,8 +106,8 @@ def _check_repository(manifest: dict, errors: list[str]) -> None: if monthly and not (10 * monthly <= annual <= 12 * monthly): _fail(errors, "%s annual price is not a sane multiple of monthly" % plan) - expected_trial = {"days": 3, "card_required": False, "plans": ["pro", "team"], - "days_by_plan": {"pro": 3, "team": 10}} + expected_trial = {"days": 7, "card_required": False, "plans": ["pro", "team"], + "days_by_plan": {"pro": 7, "team": 14}} trial = manifest.get("trial", {}) for key, value in expected_trial.items(): if trial.get(key) != value: diff --git a/scripts/init.py b/scripts/init.py index 689c78f2..365bbafe 100644 --- a/scripts/init.py +++ b/scripts/init.py @@ -20,7 +20,6 @@ import argparse import json -import os import secrets import shutil import sqlite3 @@ -157,31 +156,24 @@ def fail_database(exc: Exception) -> None: try: from engraphis.cloud_session import configured if configured(require_compute=False): - report("cloud", "ok", "Engraphis Cloud", "installation connected") + report("cloud", "ok", "Engraphis Cloud", "configuration present; connection not verified") else: report("cloud", "optional", "Engraphis Cloud", "not connected (optional for the local core)") except Exception: report("cloud", "optional", "Engraphis Cloud", "saved session unavailable; reconnect if needed") - jev_key = os.environ.get("TYPESAFE_API_KEY") or os.environ.get("JEV_API_KEY") - if jev_key: - report("jev_decision", "ok", "Jev System 1", "active (TypeSafe AI BYOK)") - else: - cloud_active = False - try: - from engraphis.cloud_session import configured - cloud_active = configured(require_compute=False) - except Exception: - pass - if cloud_active: - report("jev_decision", "ok", "Jev System 1", "active (Engraphis Cloud Pro/Team)") + try: + from engraphis.backends.jev_transport import select_decision_client + client, backend = select_decision_client() + if client is None: + report("jev_decision", "optional", "Jev System 1", + "local only or not configured; remote calls require an explicit backend and allow_remote") else: - report( - "jev_decision", - "optional", - "Jev System 1", - "optional: sub-300ms decision acceleration (install: engraphis-init --jev-key )", - ) + label = "Engraphis managed Jev" if backend == "engraphis_cloud" else "TypeSafe AI BYOK" + report("jev_decision", "ok", "Jev System 1", + f"configured ({label}); not verified; each remote call requires allow_remote=true") + except Exception: + report("jev_decision", "optional", "Jev System 1", "configuration unavailable; remote service not verified") try: from engraphis.backends.embedder_st import get_embedder @@ -249,7 +241,7 @@ def _env_content( "# TypeSafe Jev System 1 Decision Engine (BYOK):", f"TYPESAFE_API_KEY={jev_key}", f"JEV_API_KEY={jev_key}", - "ENGRAPHIS_DECISION_BACKEND=typesafe", + "ENGRAPHIS_DECISION_BACKEND=byok", ] lines += [ "# Pro and Team are hosted. Connect through the Engraphis Cloud account portal;", @@ -379,7 +371,7 @@ def main(argv=None) -> int: "--jev-key", dest="jev_key", metavar="KEY", - help="configure TypeSafe Jev API key for System 1 decision acceleration (use '-' for stdin)", + help="configure TypeSafe Jev BYOK for advisory decisions (use '-' for stdin)", ) ap.add_argument( "--typesafe-key", @@ -451,11 +443,11 @@ def main(argv=None) -> int: { "TYPESAFE_API_KEY": resolved_jev_key, "JEV_API_KEY": resolved_jev_key, - "ENGRAPHIS_DECISION_BACKEND": "typesafe", + "ENGRAPHIS_DECISION_BACKEND": "byok", }, env_file, ) - print(" jev api key -> updated in trusted config (TypeSafe System 1 active)") + print(" jev api key -> updated in trusted config (TypeSafe BYOK configured; not verified)") else: if use_encryption: try: @@ -475,7 +467,7 @@ def main(argv=None) -> int: print(f"wrote {env_file}") print(f" database -> {db_path}") if resolved_jev_key: - print(" jev api key -> configured in trusted config (TypeSafe System 1 active)") + print(" jev api key -> configured in trusted config (TypeSafe BYOK configured; not verified)") if db_path.parent == Path.cwd(): print(" note: this database path is pinned to the current directory; " "runtime tools will use this pinned path (ENGRAPHIS_DB_PATH " @@ -520,7 +512,7 @@ def main(argv=None) -> int: print(" In the dashboard: create a workspace, save one project decision, review its source and Approve for prompt.") print(" Then Ask about the decision to see its cited source.") print(" Open its citation to review the source; edit the record when the decision changes.") - print(" Free forever at the core - start the 3-day Pro trial or subscribe at " + print(" Free forever at the core - start the 7-day Pro trial or subscribe at " "https://api.engraphis.com/account?plan=pro&interval=monthly#billing") return 0 diff --git a/tests/test_hosted_client.py b/tests/test_hosted_client.py index 5488ec9f..10e2250e 100644 --- a/tests/test_hosted_client.py +++ b/tests/test_hosted_client.py @@ -10,8 +10,8 @@ def test_hosted_lifecycle_constants_keep_trial_and_grace_separate(): - assert hosted_client.TRIAL_DAYS == 3 - assert hosted_client.TRIAL_SECONDS == 259_200 + assert hosted_client.TRIAL_DAYS == 7 + assert hosted_client.TRIAL_SECONDS == 604_800 assert hosted_client.MAX_HOSTED_ACCOUNT_GRACE_SECONDS == 86_400 assert hosted_client.MAX_LOCAL_WRITE_GRACE_SECONDS == 86_400 @@ -449,7 +449,7 @@ def _capture(http_class, req, **kwargs): def test_licensing_facade_exposes_no_local_entitlement_engine(): - assert licensing.TRIAL_DAYS == 3 + assert licensing.TRIAL_DAYS == 7 assert licensing.production_warnings() == [] for removed in ( "activate", diff --git a/tests/test_hosted_plan_resolution.py b/tests/test_hosted_plan_resolution.py index 36983e51..448ceaba 100644 --- a/tests/test_hosted_plan_resolution.py +++ b/tests/test_hosted_plan_resolution.py @@ -1963,14 +1963,14 @@ def test_license_discloses_manifest_trial_days_by_plan_and_retains_legacy_days(m from engraphis import commercial payload = v2_api.get_license() - assert payload["trial"]["days_by_plan"] == {"pro": 3, "team": 10} - assert payload["trial"]["trial_days"] == 3 - assert payload["trial_seconds"] == 3 * 24 * 60 * 60 + assert payload["trial"]["days_by_plan"] == {"pro": 7, "team": 14} + assert payload["trial"]["trial_days"] == 7 + assert payload["trial_seconds"] == 7 * 24 * 60 * 60 monkeypatch.setattr(commercial, "manifest", lambda: { "trial": {"days_by_plan": {"pro": 5, "team": 17}}, }) assert v2_api.get_license()["trial"]["days_by_plan"] == {"pro": 5, "team": 17} - assert v2_api.get_license()["trial"]["trial_days"] == 3 + assert v2_api.get_license()["trial"]["trial_days"] == 7 @pytest.mark.parametrize("trial", [{}, None, {"days_by_plan": {"pro": 3, "team": "10"}}, @@ -1982,7 +1982,7 @@ def test_unknown_team_trial_duration_is_never_inferred_from_legacy_days(monkeypa monkeypatch.setattr(commercial, "manifest", lambda: {"trial": trial}) payload = v2_api.get_license() assert "team" not in payload["trial"]["days_by_plan"] - assert payload["trial"]["trial_days"] == 3 + assert payload["trial"]["trial_days"] == 7 def test_a_connected_but_unanswered_installation_offers_no_trial(monkeypatch) -> None: diff --git a/tests/test_init.py b/tests/test_init.py index 965f65cb..f6f1f15b 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -235,7 +235,7 @@ def test_doctor_reports_connected_cloud_install(tmp_path, monkeypatch, capsys): monkeypatch.setenv("ENGRAPHIS_CLOUD_ORGANIZATION_ID", "org_test") assert main(["--check"]) == 0 out = capsys.readouterr().out - assert "Engraphis Cloud - installation connected" in out + assert "Engraphis Cloud - configuration present; connection not verified" in out def test_doctor_reports_functional_embedder(tmp_path, monkeypatch, capsys): @@ -372,7 +372,7 @@ def test_init_configures_jev_key_on_fresh_setup(tmp_path, monkeypatch, capsys): env_content = _config_env(tmp_path).read_text() assert "TYPESAFE_API_KEY=test-typesafe-key-123" in env_content assert "JEV_API_KEY=test-typesafe-key-123" in env_content - assert "ENGRAPHIS_DECISION_BACKEND=typesafe" in env_content + assert "ENGRAPHIS_DECISION_BACKEND=byok" in env_content out = capsys.readouterr().out assert "jev api key -> configured in trusted config" in out assert "test-typesafe-key-123" not in out @@ -387,7 +387,7 @@ def test_init_updates_jev_key_on_existing_setup(tmp_path, monkeypatch, capsys): assert "ENGRAPHIS_DB_PATH=/keep/database.db" in updated_env assert "TYPESAFE_API_KEY=updated-key-456" in updated_env assert "JEV_API_KEY=updated-key-456" in updated_env - assert "ENGRAPHIS_DECISION_BACKEND=typesafe" in updated_env + assert "ENGRAPHIS_DECISION_BACKEND=byok" in updated_env out = capsys.readouterr().out assert "jev api key -> updated in trusted config" in out assert "updated-key-456" not in out @@ -425,9 +425,10 @@ def test_doctor_reports_jev_decision_status(tmp_path, monkeypatch, capsys): # Configured monkeypatch.setenv("TYPESAFE_API_KEY", "apikey_test_123") + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", "byok") assert main(["--check", "--json"]) == 0 report_conf = json.loads(capsys.readouterr().out) jev_check_conf = next(c for c in report_conf["checks"] if c["code"] == "jev_decision") assert jev_check_conf["status"] == "ok" - assert "active (TypeSafe AI BYOK)" in jev_check_conf["detail"] + assert "configured (TypeSafe AI BYOK); not verified" in jev_check_conf["detail"] diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index 5a068340..f175c6d4 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -23,7 +23,7 @@ def __init__(self, *, fallback=False, confidence=0.9, probability=0.9, verdict=" get_noul=lambda _: SimpleNamespace(probability=probability, confidence=confidence), ) - def evaluate(self, state, questions, *, model): + def evaluate(self, state, questions, *, model, allow_remote=False, purpose="custom", data_classification="internal"): self.calls.append((state, [question.to_dict() for question in questions], model)) return self.batch @@ -130,77 +130,22 @@ def test_empty_and_oversized_inputs_do_not_leave_the_process(query, evidence): assert client.calls == [] -def test_cloud_decision_client_configuration(monkeypatch): - import io - from engraphis.backends.jev_decision import create_cloud_decision_client, DecisionQuestion - - # Unconfigured - monkeypatch.delenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", raising=False) - client = create_cloud_decision_client(token="") - assert client.is_configured is False - assert client.allow_fallback is False - - # Configured - client_configured = create_cloud_decision_client(token="test-token", control_url="https://api.engraphis.com") - assert client_configured.is_configured is True - assert client_configured.allow_fallback is False - - # Mock evaluate response - mock_payload = b'{"decisions": {"q1": {"type": "choice", "selected": "reinforces", "confidence": 0.95}}}' - mock_resp = io.BytesIO(mock_payload) - mock_resp.status = 200 - - import urllib.request - monkeypatch.setattr(urllib.request, "urlopen", lambda req, timeout: mock_resp) - - q = DecisionQuestion("q1", "prompt", "choice", ("reinforces", "orthogonal")) - batch = client_configured.evaluate("test state", [q], model="test-model-1.0") - assert batch.is_fallback is False - assert batch.get_choice("q1").selected == "reinforces" - assert batch.get_choice("q1").confidence == 0.95 - - -def test_typesafe_decision_client_configuration(monkeypatch): - import io - import urllib.request - from engraphis.backends.jev_decision import create_typesafe_decision_client, DecisionQuestion, JevDecisionBackend - - monkeypatch.delenv("TYPESAFE_API_KEY", raising=False) - monkeypatch.delenv("JEV_API_KEY", raising=False) - - # Unconfigured - client = create_typesafe_decision_client(api_key="") - assert client.is_configured is False +def test_cloud_decision_client_uses_saved_session_configuration(monkeypatch): + from engraphis import cloud_session + from engraphis.backends.jev_decision import create_cloud_decision_client + configured = [] + monkeypatch.setattr(cloud_session, "configured", lambda **kw: configured.append(kw) or True) + client = create_cloud_decision_client() + assert configured == [] + assert client.is_configured is True + assert configured == [{"require_compute": False}] assert client.allow_fallback is False - # Configured via env - monkeypatch.setenv("TYPESAFE_API_KEY", "test-api-key-xyz") - client_env = create_typesafe_decision_client() - assert client_env.is_configured is True - assert client_env.allow_fallback is False - - # Mock evaluate response with TypeSafe official 'answers' format - mock_payload = ( - b'{"model":"jev-1.13.0","answers":{' - b'"safe":{"type":"noul","noul":0.97},' - b'"rel":{"type":"choice","choice":"reinforces","confidence":0.99}' - b'}}' - ) - mock_resp = io.BytesIO(mock_payload) - mock_resp.status = 200 - monkeypatch.setattr(urllib.request, "urlopen", lambda req, timeout: mock_resp) - - q1 = DecisionQuestion("safe", "Is safe?", "noul") - q2 = DecisionQuestion("rel", "Relation?", "choice", ("reinforces", "orthogonal")) - batch = client_env.evaluate("some state", [q1, q2], model="jev-1.13.0") - assert batch.is_fallback is False - assert batch.get_noul("safe").probability == 0.97 - assert batch.get_choice("rel").selected == "reinforces" - assert batch.get_choice("rel").confidence == 0.99 - - # Verify integration with JevDecisionBackend - backend = JevDecisionBackend(client=client_env, model="jev-1.13.0") - assert backend.is_available is True - - +def test_typesafe_key_presence_is_not_an_implicit_backend_selection(monkeypatch): + from engraphis.backends.jev_transport import select_decision_client + monkeypatch.setenv("TYPESAFE_API_KEY", "synthetic-key") + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", "none") + assert select_decision_client() == (None, "local_heuristic") + client, name = select_decision_client("byok") + assert client.is_configured and name == "typesafe_byok" diff --git a/tests/test_jev_transport.py b/tests/test_jev_transport.py new file mode 100644 index 00000000..f2adc334 --- /dev/null +++ b/tests/test_jev_transport.py @@ -0,0 +1,238 @@ +"""Offline transport contracts: no keys, provider calls or credential discovery.""" +import io +import json +from types import SimpleNamespace + +import pytest + +from engraphis import cloud_session, hosted_client +from engraphis.backends import jev_transport as transport +from engraphis.backends.jev_decision import DecisionQuestion + + +def _question(kind="noul"): + return DecisionQuestion("q", "Assess the supplied evidence.", kind, + () if kind == "noul" else ("no", "yes")) + + +def _normalized(probability=0.9): + return {"model": transport.MODEL, "decisions": {"q": { + "type": "noul", "probability": probability, "confidence": abs(2*probability-1), + "confidence_source": "derived_decisiveness", + }}} + + +@pytest.fixture +def managed(monkeypatch): + calls = [] + monkeypatch.setattr(cloud_session, "configured", lambda **kw: True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.invalid") + + def access(workspace, **kwargs): + calls.append(("refresh", workspace, kwargs)) + return "synthetic-access-token", "org_synthetic", "" + + monkeypatch.setattr(cloud_session, "access_for_workspace", access) + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", lambda value: value) + + def opener(*handlers): + calls.append(("handlers", handlers)) + + def open_request(request, timeout): + calls.append(("request", request, timeout)) + response = io.BytesIO(json.dumps(_normalized()).encode()) + response.status = 200 + response.headers = {"Content-Type": "application/json"} + return response + return SimpleNamespace(open=open_request) + + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", opener) + return calls + + +def test_constructor_and_configuration_are_network_free_and_managed_refresh_is_bound(managed): + client = transport.create_cloud_decision_client() + assert client.is_configured and managed == [] + batch = client.evaluate("A synthetic statement", [_question()], model=transport.MODEL, + allow_remote=True, purpose="verify_support", data_classification="public") + assert managed[0] == ("refresh", None, {"require_compute": False}) + _, request, timeout = managed[-1] + assert request.full_url == "https://control.example.invalid/v1/jev/decide" + assert request.get_header("Authorization") == "Bearer synthetic-access-token" + assert 0 < timeout <= 15 + assert json.loads(request.data) == { + "model": transport.MODEL, "state": "A synthetic statement", "questions": [_question().to_dict()], + "allow_remote": True, "purpose": "verify_support", "data_classification": "public", + } + assert batch.get_noul("q").probability == 0.9 + assert batch.get_noul("q").confidence_source == "derived_decisiveness" + + +@pytest.mark.parametrize("kwargs", ( + {}, {"allow_remote": False}, {"allow_remote": 1}, + {"allow_remote": True, "data_classification": "secret"}, + {"allow_remote": True, "purpose": "silently_upload_memory"}, +)) +def test_consent_and_classification_are_checked_before_refresh(managed, kwargs): + with pytest.raises(transport.DecisionClientError): + transport.create_cloud_decision_client().evaluate( + "Synthetic text", [_question()], model=transport.MODEL, **kwargs, + ) + assert managed == [] + + +@pytest.mark.parametrize("state,questions,model", ( + ("x"*16001, [_question()], transport.MODEL), + ("api_key=synthetic0123456789", [_question()], transport.MODEL), + ("Synthetic", [_question(), _question()], transport.MODEL), + ("Synthetic", [DecisionQuestion("q", "secret=synthetic0123456789", "noul")], transport.MODEL), + ("Synthetic", [DecisionQuestion("q", "Prompt", "score")], transport.MODEL), + ("Synthetic", [_question()], "jev-latest"), +)) +def test_invalid_or_sensitive_input_never_reaches_refresh(managed, state, questions, model): + with pytest.raises(transport.DecisionClientError): + transport.create_cloud_decision_client().evaluate( + state, questions, model=model, allow_remote=True, + ) + assert managed == [] + + +def test_credential_origin_change_fails_without_using_token(managed, monkeypatch): + values = iter(("https://first.example.invalid", "https://second.example.invalid")) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", lambda: next(values)) + with pytest.raises(transport.DecisionClientError, match="session_changed"): + transport.create_cloud_decision_client().evaluate( + "Synthetic", [_question()], model=transport.MODEL, allow_remote=True, + ) + assert len(managed) == 1 and managed[0][0] == "refresh" + + +def test_backend_modes_never_implicitly_choose_byok(monkeypatch): + monkeypatch.setenv("TYPESAFE_API_KEY", "synthetic-personal-key") + monkeypatch.setattr(cloud_session, "configured", lambda **kw: True) + for mode in ("none", "local"): + assert transport.select_decision_client(mode) == (None, "local_heuristic") + for mode in ("managed", "auto"): + client, name = transport.select_decision_client(mode) + assert isinstance(client, transport.EngraphisCloudDecisionClient) + assert name == "engraphis_cloud" + monkeypatch.setattr(cloud_session, "configured", lambda **kw: False) + assert transport.select_decision_client("auto") == (None, "local_heuristic") + assert transport.select_decision_client("byok")[1] == "typesafe_byok" + assert transport.select_decision_client("byok", offline_mode=True) == (None, "local_heuristic") + + +@pytest.mark.parametrize("change", ( + lambda body: body.update(model="jev-latest"), + lambda body: body["decisions"]["q"].pop("confidence"), + lambda body: body["decisions"]["q"].update(confidence=True), + lambda body: body["decisions"]["q"].update(probability="0.9"), + lambda body: body["decisions"]["q"].update(probability=float("nan")), + lambda body: body["decisions"]["q"].update(confidence_source="provider"), + lambda body: body["decisions"].update(extra={"type": "noul"}), + lambda body: body.update(is_fallback="false"), +)) +def test_normalized_parser_rejects_malformed_values_without_default_confidence(change): + body = _normalized() + change(body) + with pytest.raises(transport.DecisionClientError, match="malformed_response"): + transport.parse_decision_batch(body, [_question()], normalized=True) + + +def test_uncertain_and_fallback_are_preserved(): + batch = transport.parse_decision_batch(_normalized(0.5), [_question()], normalized=True) + assert batch.is_fallback is False and batch.get_noul("q").confidence == 0.0 + batch = transport.parse_decision_batch({"model": transport.MODEL, "is_fallback": True}, + [_question()], normalized=True) + assert batch.is_fallback is True and batch.get_noul("q") is None + + +def test_provider_choice_score_and_noul_contracts(): + questions = [DecisionQuestion("choice", "Choose", "choice", ("no", "yes")), + DecisionQuestion("score", "Rate", "score", ("no", "yes")), + DecisionQuestion("noul", "Assess", "noul")] + body = {"model": transport.MODEL, "answers": { + "choice": {"type": "choice", "choice": "yes", "confidence": 0.8, + "probabilities": {"no": 0.2, "yes": 0.8}}, + "score": {"type": "score", "score": 0.7, "legend": {"0": "no", "1": "yes"}, + "probabilities": {"0": 0.3, "1": 0.7}, "confidence": 0.8}, + "noul": {"type": "noul", "noul": 0.97}, + }} + batch = transport.parse_decision_batch(body, questions, normalized=False) + assert batch.get_choice("choice").selected == "yes" + assert batch.get_score("score").score == 0.7 + assert batch.get_noul("noul").confidence == pytest.approx(0.94) + body["answers"]["choice"].pop("confidence") + with pytest.raises(transport.DecisionClientError): + transport.parse_decision_batch(body, questions, normalized=False) + + +@pytest.mark.parametrize("raw", (b'{"model":"one","model":"two"}', b'{"score":NaN}', + b"x"*(transport.MAX_RESPONSE_BYTES+1)), + ids=("duplicate-key", "nonfinite", "oversized")) +def test_http_reader_bounds_and_strict_json(raw, monkeypatch): + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", lambda value: value) + response = io.BytesIO(raw) + response.status = 200 + response.headers = {"Content-Type": "application/json"} + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", + lambda *args: SimpleNamespace(open=lambda *a, **kw: response)) + with pytest.raises(transport.DecisionClientError, match="malformed_response"): + transport._post_json("https://control.example.invalid/v1/jev/decide", "synthetic", {}, 1) + + +def test_redirects_and_transport_exceptions_never_echo_private_values(monkeypatch): + with pytest.raises(transport.DecisionClientError, match="remote_unavailable"): + transport._NoRedirect().redirect_request(None, None, 302, "", {}, "https://other.invalid") + def fail(value): + raise RuntimeError("private request content and synthetic credential") + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", fail) + with pytest.raises(transport.DecisionClientError) as error: + transport._post_json("https://control.example.invalid", "synthetic", {}, 1) + assert str(error.value) == "remote_unavailable" + + +def test_byok_native_payload_and_consent(monkeypatch): + calls = [] + questions = [DecisionQuestion("q", "Rate the statement", "score", ("no", "yes"))] + def post(url, token, payload, timeout): + calls.append((url, token, payload, timeout)) + return {"model": transport.MODEL, "answers": {"q": { + "type": "score", "score": 0.7, "legend": {"0": "no", "1": "yes"}, + "probabilities": {"0": 0.3, "1": 0.7}, "confidence": 0.8, + }}} + monkeypatch.setattr(transport, "_post_json", post) + client = transport.TypeSafeDecisionClient(api_key="synthetic-personal-key") + assert client.is_configured and not calls + with pytest.raises(transport.DecisionClientError, match="remote_not_authorized"): + client.evaluate("Synthetic", questions, model=transport.MODEL) + assert not calls + assert client.evaluate("Synthetic", questions, model=transport.MODEL, + allow_remote=True).get_score("q").score == 0.7 + assert calls[0][0] == "https://api.typesafe.ai/v1/systemone" + assert calls[0][2]["questions"] == { + "q": {"type": "score", "instructions": "Rate the statement", "criteria": ["no", "yes"]}, + } + + +def test_choice_must_match_reported_probability_distribution(): + body = {"model": transport.MODEL, "answers": {"q": { + "type": "choice", "choice": "no", "confidence": 0.8, + "probabilities": {"no": 0.2, "yes": 0.8}, + }}} + with pytest.raises(transport.DecisionClientError, match="malformed_response"): + transport.parse_decision_batch(body, [_question("choice")], normalized=False) + + +def test_configuration_presence_honors_explicit_backend_and_managed_precedence(monkeypatch): + from engraphis.config import Settings + monkeypatch.setattr(cloud_session, "configured", lambda **kw: True) + for mode in ("none", "local"): + assert not Settings(decision_backend=mode, typesafe_api_key="synthetic-key").has_decision_backend + for mode in ("managed", "auto"): + assert Settings(decision_backend=mode, typesafe_api_key="").has_decision_backend + monkeypatch.setattr(cloud_session, "configured", lambda **kw: False) + assert not Settings(decision_backend="auto", typesafe_api_key="synthetic-key").has_decision_backend + assert Settings(decision_backend="byok", typesafe_api_key="synthetic-key").has_decision_backend + assert not Settings(decision_backend="byok", typesafe_api_key="offline").has_decision_backend diff --git a/tests/test_licensing_boundary_docs.py b/tests/test_licensing_boundary_docs.py index 88d3b319..2184dc15 100644 --- a/tests/test_licensing_boundary_docs.py +++ b/tests/test_licensing_boundary_docs.py @@ -30,7 +30,7 @@ def test_manifest_keeps_trial_and_grace_as_separate_clocks(): trial = manifest["trial"] lifecycle = manifest["entitlement_lifecycle"] - assert TRIAL_DAYS == trial["days"] == 3 + assert TRIAL_DAYS == trial["days"] == 7 assert "max_grace_hours" not in trial assert lifecycle["max_grace_hours"] == 24 assert lifecycle["grace_mode"] == "workspace_write_grace" diff --git a/tests/test_mcp_jev_consent.py b/tests/test_mcp_jev_consent.py new file mode 100644 index 00000000..4b92d062 --- /dev/null +++ b/tests/test_mcp_jev_consent.py @@ -0,0 +1,86 @@ +"""MCP decisions preserve consent, uncertainty, fallback, and private error boundaries.""" +import json +from types import SimpleNamespace + +import pytest + +pytest.importorskip("mcp") +from engraphis import mcp_server as server +from engraphis.backends import jev_transport as transport + + +@pytest.mark.parametrize("kwargs", ({}, {"allow_remote": False}, + {"offline_mode": True, "allow_remote": True})) +def test_unapproved_or_offline_mcp_never_discovers_credentials(monkeypatch, kwargs): + def forbidden(*args, **kw): + pytest.fail("backend configuration must not be inspected without call permission") + monkeypatch.setattr(transport, "select_decision_client", forbidden) + result = json.loads(server.engraphis_decide(kind="custom", state="Synthetic", **kwargs)) + assert result["is_fallback"] is True + assert result["confidence"] is None + assert result["selected"] is None + assert result["advisory_only"] is True + + +def _client(monkeypatch, batch=None, error=None): + calls = [] + def evaluate(state, questions, **kwargs): + calls.append((state, questions, kwargs)) + if error is not None: + raise error + return batch + monkeypatch.setattr(transport, "select_decision_client", lambda: ( + SimpleNamespace(evaluate=evaluate), "engraphis_cloud", + )) + return calls + + +@pytest.mark.parametrize("kind,key,result_key", ( + ("verify_support", "has_support", "supported"), + ("verify_completion", "is_complete", "is_complete"), +)) +def test_uncertain_remote_result_is_neither_success_nor_failure(monkeypatch, kind, key, result_key): + batch = transport.CloudDecisionBatch(False, {}, { + key: transport.SimpleSupportDecision(probability=0.5, confidence=0.0), + }) + calls = _client(monkeypatch, batch) + result = json.loads(server.engraphis_decide( + kind=kind, state="Synthetic evidence", allow_remote=True, data_classification="public", + )) + assert calls[0][2] == {"model": transport.MODEL, "allow_remote": True, + "purpose": kind, "data_classification": "public"} + assert result["is_fallback"] is False + assert result["decision_status"] == "uncertain" + assert result["confidence"] == 0.0 + assert result["confidence_source"] == "derived_decisiveness" + assert result[result_key] is None + + +@pytest.mark.parametrize("batch,error,reason", ( + (transport.CloudDecisionBatch(True, {}, {}), None, "provider_fallback"), + (transport.CloudDecisionBatch(False, {}, {}), None, "malformed_response"), + (None, RuntimeError("private request and synthetic credential"), "remote_unavailable"), + (None, transport.DecisionClientError("allowance_exhausted"), "allowance_exhausted"), +)) +def test_remote_failures_cannot_look_like_verified_success(monkeypatch, batch, error, reason): + _client(monkeypatch, batch, error) + raw = server.engraphis_decide(kind="verify_support", state="Synthetic evidence", + query="Synthetic", allow_remote=True) + result = json.loads(raw) + assert result["is_fallback"] is True + assert result["decision_status"] == "local_fallback" + assert result["fallback_reason"] == reason + assert result["confidence"] is None + assert "private request" not in raw and "synthetic credential" not in raw + + +def test_remote_advice_cannot_override_local_destructive_veto(monkeypatch): + batch = transport.CloudDecisionBatch(False, { + "category": transport.SimpleChoiceDecision("read_only", 0.99), + }, {"is_safe": transport.SimpleSupportDecision(0.99, 0.98)}) + _client(monkeypatch, batch) + result = json.loads(server.engraphis_decide( + kind="guard_command", state="rm -rf / --no-preserve-root", allow_remote=True, + )) + assert result["allow_auto"] is False and result["escalate_to_user"] is True + assert result["advisory_only"] is True diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 28119616..6ea1a421 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -1759,6 +1759,7 @@ def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): classic_mcp, engraphis_decide, engraphis_discover_actions, + engraphis_execute_action, engraphis_execute_read, minimum_role, ) @@ -1769,7 +1770,8 @@ def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): # 2. Discovery assert "decide" in ACTION_SPECS - assert ACTION_SPECS["decide"].side_effect == "read" + # Remote Jev may consume allowance, so discovery uses the stateful executor. + assert ACTION_SPECS["decide"].side_effect == "write" raw_disc = engraphis_discover_actions(task="guard command safety") disc = json.loads(raw_disc) action = next((a for a in disc.get("actions", []) if a["canonical_action"] == "decide"), None) @@ -1808,8 +1810,15 @@ def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): )) assert supp_out["supported"] is True - # 4. Smart MCP Execution via execute_read - exec_raw = engraphis_execute_read( + # 4. Smart MCP execution follows the discovered side-effect boundary. + read_raw = engraphis_execute_read( + capability_id=action["capability_id"], + schema_digest=action["schema_digest"], + arguments={"kind": "guard_command", "state": "git diff", "offline_mode": True}, + ) + assert read_raw.isError is True + assert "action_requires_execute_action" in read_raw.content[0].text + exec_raw = engraphis_execute_action( capability_id=action["capability_id"], schema_digest=action["schema_digest"], arguments={"kind": "guard_command", "state": "git diff", "offline_mode": True}, From 1f0f140e48fa899d1a4fd3fabec880fe19f42f72 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 04:59:05 -0400 Subject: [PATCH 15/64] Fix Jev setup and loopback reviews, align trial contracts, and refresh offline evidence --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v89.json | 692 ++++++++++++++++++ .../offline-fixtures-v89.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_transport.py | 6 +- scripts/init.py | 10 +- tests/e2e/commercial.spec.js | 48 +- tests/e2e/graph-engine.spec.js | 2 +- tests/e2e/ledger.spec.js | 16 +- tests/e2e/ledger_sliders_themes.spec.js | 2 +- tests/e2e/memory-workflow.spec.js | 2 +- tests/test_benchmark_evidence.py | 4 +- tests/test_commercial_hardening.py | 3 +- tests/test_dashboard_auth_placement.py | 30 +- tests/test_documentation_contracts.py | 2 +- tests/test_hosted_plan_resolution.py | 12 +- tests/test_init.py | 63 +- tests/test_jev_transport.py | 81 ++ tests/test_licensing_launch.py | 3 +- tests/test_pro_cta.py | 20 +- tests/test_smart_mcp_gateway.py | 5 +- tests/test_v1_licensing.py | 2 +- 24 files changed, 921 insertions(+), 105 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v89.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v89.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 6c60ae4e..c1b9eb95 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v88.json`](docs/benchmark-evidence/offline-fixtures-v88.json) artifact. Its +[`offline-fixtures-v89.json`](docs/benchmark-evidence/offline-fixtures-v89.json) artifact. Its SHA-256 is -`18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199`, also recorded in the +`8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`f727d7ee767b9798cefac33bf7d82423e02aeaa52b1b7964341ee1222d3dff81`. The artifact defines +`642a2106cb16b9f123884acd9f0d1bdcdc2658c564b9ab12ed318c1a1de3b311`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v88.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v89.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v88.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v89.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 9139b4ba..9a172c53 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v88.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v88.json), +[`offline-fixtures-v89.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v89.json), SHA-256 -`18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199`. +`8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v89.json b/docs/benchmark-evidence/offline-fixtures-v89.json new file mode 100644 index 00000000..401ec610 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v89.json @@ -0,0 +1,692 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "642a2106cb16b9f123884acd9f0d1bdcdc2658c564b9ab12ed318c1a1de3b311", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + 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b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -18af203925d9 +8ea06d3d2978 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 44728f39..c761a66e 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199 + SHA256 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245 diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py index f1d09f4e..272a4aad 100644 --- a/engraphis/backends/jev_transport.py +++ b/engraphis/backends/jev_transport.py @@ -386,7 +386,11 @@ def _post_json(url: str, token: str, payload: dict, timeout_s: float) -> object: deadline = time.monotonic() + timeout_s try: - if (urlsplit(url).scheme != "https" or not token or token != token.strip() + parts = urlsplit(url) + permitted_transport = parts.scheme == "https" or ( + parts.scheme == "http" and _is_loopback_host(parts.hostname or "") + ) + if (not permitted_transport or not token or token != token.strip() or any(char.isspace() for char in token)): raise DecisionClientError("invalid_configuration") # Validation and DNS occur only inside an explicitly authorized call. diff --git a/scripts/init.py b/scripts/init.py index 365bbafe..94c8971c 100644 --- a/scripts/init.py +++ b/scripts/init.py @@ -239,8 +239,8 @@ def _env_content( if jev_key: lines += [ "# TypeSafe Jev System 1 Decision Engine (BYOK):", - f"TYPESAFE_API_KEY={jev_key}", - f"JEV_API_KEY={jev_key}", + f"TYPESAFE_API_KEY={json.dumps(jev_key)}", + f"JEV_API_KEY={json.dumps(jev_key)}", "ENGRAPHIS_DECISION_BACKEND=byok", ] lines += [ @@ -441,8 +441,10 @@ def main(argv=None) -> int: from engraphis.config import persist_project_env persist_project_env( { - "TYPESAFE_API_KEY": resolved_jev_key, - "JEV_API_KEY": resolved_jev_key, + # Keys are printable ASCII, so JSON's quote/backslash escapes + # exactly match the trusted-env parser without expansion. + "TYPESAFE_API_KEY": json.dumps(resolved_jev_key), + "JEV_API_KEY": json.dumps(resolved_jev_key), "ENGRAPHIS_DECISION_BACKEND": "byok", }, env_file, diff --git a/tests/e2e/commercial.spec.js b/tests/e2e/commercial.spec.js index 9f90e500..a566297e 100644 --- a/tests/e2e/commercial.spec.js +++ b/tests/e2e/commercial.spec.js @@ -35,7 +35,7 @@ function licenseFor(plan, features, overrides = {}) { plan_source: paid ? 'session' : 'local', plan_checked_at: 0, is_trial: false, - trial_seconds: 259_200, + trial_seconds: 604_800, grace_seconds: 86_400, grace_scope: 'private hosted account continuity only; free local core unaffected', pro_upgrade_url: 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly#billing', @@ -51,7 +51,7 @@ function licenseFor(plan, features, overrides = {}) { // The control plane refuses a second trial for any organization that already holds an // entitlement, so a connected customer is never offered one — only an installation // that belongs to no organization is. - trial: { used: false, active: false, ends_at: 0, available: !paid, trial_days: 3, days_by_plan: { pro: 3, team: 10 } }, + trial: { used: false, active: false, ends_at: 0, available: !paid, trial_days: 7, days_by_plan: { pro: 7, team: 14 } }, ...overrides, }; } @@ -245,7 +245,7 @@ test('Cloud Sync denial returns an unlicensed installation to the hosted upgrade const sync = page.locator('#sync-body'); await expect(sync).toContainText('Unlock Cloud Sync and more'); - await expect(sync.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(sync.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=feature_cloud_sync#billing', @@ -302,7 +302,7 @@ test('Classic omits unknown Team trial duration from an older license response', await expect(team).toContainText('review its duration in Cloud'); await expect(team).not.toContainText('3 active days'); await openView(page, 'settings'); - await expect(page.locator('.settings-license-panel').getByRole('link', { name: 'Start 3-day Pro trial' })).toBeVisible(); + await expect(page.locator('.settings-license-panel').getByRole('link', { name: 'Start 7-day Pro trial' })).toBeVisible(); }); test('local dashboard keeps generic Pro and Team CTAs out of settings', async ({ page }) => { @@ -318,20 +318,20 @@ test('local dashboard keeps generic Pro and Team CTAs out of settings', async ({ await openView(page, 'settings'); const licensePanel = page.locator('.settings-license-panel'); await expect(licensePanel.getByText('LOCAL CORE', { exact: true })).toBeVisible(); - await expect(licensePanel.getByRole('link', { name: 'Start 3-day Pro trial' })).toBeVisible(); - await expect(licensePanel.getByRole('link', { name: 'Start 10-day Team trial' })).toHaveCount(0); + await expect(licensePanel.getByRole('link', { name: 'Start 7-day Pro trial' })).toBeVisible(); + await expect(licensePanel.getByRole('link', { name: 'Start 14-day Team trial' })).toHaveCount(0); await expect(licensePanel).not.toContainText('Support continued Engraphis development with Pro.'); await openView(page, 'team'); const team = page.locator('#team-body'); await expect(team.getByText('Engraphis Team Cloud', { exact: false })).toBeVisible(); - await expect(team.getByRole('link', { name: 'Start 10-day Team trial' })) + await expect(team.getByRole('link', { name: 'Start 14-day Team trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/team?plan=team&interval=monthly&trial=team&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=team_tab#billing', ); await expect(team.getByRole('link', { name: 'Open Team Cloud' })).toHaveCount(0); - await expect(team).toContainText('exactly 10 active days'); + await expect(team).toContainText('exactly 14 active days'); await expect(team).toContainText( 'Private-service account grace is capped at 24 hours, never extends Team access, and never restricts the free local core.', ); @@ -410,9 +410,9 @@ test('a paying Team customer sees TEAM with Team administration unlocked', async // A paying customer is offered the account portal, never another trial. await expect(licensePanel.getByRole('link', { name: 'Open Engraphis Cloud' })) .toHaveAttribute('href', 'https://cloud.engraphis.test/account?utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=license'); - await expect(licensePanel.getByRole('link', { name: 'Start 10-day Team trial' })) + await expect(licensePanel.getByRole('link', { name: 'Start 14-day Team trial' })) .toHaveCount(0); - await expect(licensePanel.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(licensePanel.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveCount(0); // The Team tab is a description of the hosted service, not an answer to a denial: it @@ -422,7 +422,7 @@ test('a paying Team customer sees TEAM with Team administration unlocked', async const team = page.locator('#team-body'); await expect(team).toContainText('Your TEAM subscription includes this'); await expect(team).not.toContainText('does not include'); - await expect(team.getByRole('link', { name: 'Start 10-day Team trial' })).toHaveCount(0); + await expect(team.getByRole('link', { name: 'Start 14-day Team trial' })).toHaveCount(0); expect(errors).toEqual([]); }); @@ -470,9 +470,9 @@ test('a lapsed Team subscription is sent to billing, not to a spent trial', asyn await expect(licensePanel.getByRole('link', { name: 'Update billing' })) .toHaveAttribute('href', 'https://cloud.engraphis.test/account?utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=license'); // A lapsed subscription is a billing problem, not an unspent trial. - await expect(licensePanel.getByRole('link', { name: 'Start 10-day Team trial' })) + await expect(licensePanel.getByRole('link', { name: 'Start 14-day Team trial' })) .toHaveCount(0); - await expect(licensePanel.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(licensePanel.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveCount(0); expect(errors).toEqual([]); }); @@ -486,7 +486,7 @@ test('a spent trial says so, and is never offered another one', async ({ page }) access_state: 'trial_expired', entitlement_status: 'expired', is_trial: true, - trial: { used: true, active: false, ends_at: 1751068800, available: false, trial_days: 3 }, + trial: { used: true, active: false, ends_at: 1751068800, available: false, trial_days: 7 }, })); await page.goto('/classic'); @@ -498,7 +498,7 @@ test('a spent trial says so, and is never offered another one', async ({ page }) // The sidebar CTA opens this panel, so it must retain the matching checkout action. await expect(licensePanel.getByRole('link', { name: 'Subscribe to Pro' })).toBeVisible(); await expect(licensePanel.getByRole('link', { name: 'Subscribe to Team' })).toHaveCount(0); - await expect(licensePanel.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(licensePanel.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveCount(0); expect(errors).toEqual([]); }); @@ -517,10 +517,10 @@ for (const cloudStatus of [402, 501]) { ).toBeGreaterThan(analyticsBefore); const analytics = page.locator('#analytics-body'); await expect(analytics).toContainText('Unlock Analytics and more'); - await expect(analytics).toContainText('exactly 3 active days'); + await expect(analytics).toContainText('exactly 7 active days'); await expect(analytics).toContainText('$10/month or $100/year'); await expect(analytics).toContainText('Hosted Cloud Sync across your installations'); - await expect(analytics.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(analytics.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=feature_analytics#billing', @@ -541,10 +541,10 @@ for (const cloudStatus of [402, 501]) { await expect(automation).toContainText( 'Unlock Automation, Auto Consolidation, and Auto Dreaming and more', ); - await expect(automation).toContainText('exactly 3 active days'); + await expect(automation).toContainText('exactly 7 active days'); await expect(automation).toContainText('$10/month or $100/year'); await expect(automation).toContainText('Auto Dreaming with reviewable managed proposals'); - await expect(automation.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(automation.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=feature_automation_auto_consolidation_and_auto_dreaming#billing', @@ -597,7 +597,7 @@ test('An unconfigured local install starts the Cloud trial directly from either 'After connecting, explicitly approve each workspace in Manage > Settings.', ); await expect(analytics).not.toContainText('Connect this installation to Engraphis Cloud'); - await expect(analytics.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(analytics.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=managed_analytics#billing', @@ -609,7 +609,7 @@ test('An unconfigured local install starts the Cloud trial directly from either 'After connecting, explicitly approve each workspace in Manage > Settings.', ); await expect(automation).not.toContainText('Connect this installation to Engraphis Cloud'); - await expect(automation.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(automation.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=managed_hosted_automation#billing', @@ -632,7 +632,7 @@ test('Analytics turns an unconnected local installation into a Pro opportunity', ); await expect(analytics).toContainText('Secret and session-scoped memories stay local.'); await expect(analytics).not.toContainText('ENGRAPHIS_MANAGED_COMPUTE_CONSENT'); - await expect(analytics.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(analytics.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=managed_analytics#billing', @@ -662,7 +662,7 @@ test('Automation policy save presents the hosted-maintenance value when Cloud is 'After connecting, explicitly approve each workspace in Manage > Settings.' ); await expect(result).not.toContainText('ENGRAPHIS_MANAGED_COMPUTE_CONSENT'); - await expect(result.getByRole('link', { name: 'Start 3-day Pro trial' })) + await expect(result.getByRole('link', { name: 'Start 7-day Pro trial' })) .toHaveAttribute( 'href', 'https://cloud.engraphis.test/pro?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=managed_hosted_automation#billing', @@ -690,6 +690,6 @@ test('A subscribed customer sees included hosted features, never a repurchase pr await expect(analytics.getByRole('link', { name: 'Open Engraphis Cloud' })) .toHaveAttribute('href', 'https://cloud.engraphis.test/account?utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=managed_analytics'); await expect(analytics.getByRole('link', { name: 'Subscribe to Pro' })).toHaveCount(0); - await expect(analytics.getByRole('link', { name: 'Start 3-day Pro trial' })).toHaveCount(0); + await expect(analytics.getByRole('link', { name: 'Start 7-day Pro trial' })).toHaveCount(0); expect(errors).toEqual([]); }); diff --git a/tests/e2e/graph-engine.spec.js b/tests/e2e/graph-engine.spec.js index bf5058d8..666539b9 100644 --- a/tests/e2e/graph-engine.spec.js +++ b/tests/e2e/graph-engine.spec.js @@ -428,7 +428,7 @@ async function openDashboard(page, { if (path === '/bootstrap') { return json({ - license: { plan: 'local', features: [], known_features: {}, cloud_managed: false, trial: { used: false, trial_days: 3 } }, + license: { plan: 'local', features: [], known_features: {}, cloud_managed: false, trial: { used: false, trial_days: 7 } }, workspaces: [{ name: workspace, memories: 12 }], embedder: { semantic: true }, }); diff --git a/tests/e2e/ledger.spec.js b/tests/e2e/ledger.spec.js index 6208d5d2..1ee556f8 100644 --- a/tests/e2e/ledger.spec.js +++ b/tests/e2e/ledger.spec.js @@ -29,7 +29,7 @@ function license() { cloud_access_active: false, access_state: 'inactive', plan_source: 'local', - trial: { used: false, active: false, available: true, trial_days: 3, days_by_plan: { pro: 3, team: 10 } }, + trial: { used: false, active: false, available: true, trial_days: 7, days_by_plan: { pro: 7, team: 14 } }, pro_upgrade_url: 'https://cloud.engraphis.test/pro', team_upgrade_url: 'https://cloud.engraphis.test/team', pro_monthly_upgrade_url: 'https://cloud.engraphis.test/account?plan=pro&interval=monthly#billing', @@ -2502,7 +2502,7 @@ test('Ledger gives active Pro members direct Cloud access and saves hosted polic cloud_access_active: true, access_state: 'active', plan_source: 'cloud', - trial: { used: true, active: false, available: false, trial_days: 3 }, + trial: { used: true, active: false, available: false, trial_days: 7 }, }; const requests = await mockApi(page, { license: activePro, @@ -2574,7 +2574,7 @@ test('Ledger omits unknown Team trial duration from an older license response', await page.getByRole('button', { name: 'Settings' }).click(); await page.getByRole('tab', { name: 'Plans & billing' }).click(); await expect(page.locator('#plan-cards [data-pro-cta="team"]')).toHaveText('Start Team trial'); - await expect(page.locator('#plan-cards [data-pro-cta="pro"]')).toHaveText('Start 3-day Pro trial'); + await expect(page.locator('#plan-cards [data-pro-cta="pro"]')).toHaveText('Start 7-day Pro trial'); await expect(page.locator('#plan-cards [data-pro-cta="team"]')).toHaveAttribute('href', /trial=team/); }); @@ -2582,20 +2582,20 @@ test('billing cadence selects the exact Pro and Team checkout target', async ({ await mockApi(page); await page.goto('/'); await expect(page.locator('#plan-badge')).toHaveCount(1); - await expect(page.locator('#sidebar-pro-cta')).toHaveText('Start 3-day Pro trial'); + await expect(page.locator('#sidebar-pro-cta')).toHaveText('Start 7-day Pro trial'); await expect(page.locator('#sidebar-pro-cta')).toHaveAttribute( 'href', 'https://cloud.engraphis.test/account?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=sidebar#billing', ); await page.getByRole('button', { name: 'Settings' }).click(); await page.getByRole('tab', { name: 'Analytics' }).click(); - await expect(page.locator('#analytics-pro-cta')).toHaveText('Start 3-day Pro trial'); + await expect(page.locator('#analytics-pro-cta')).toHaveText('Start 7-day Pro trial'); await expect(page.locator('#analytics-pro-cta')).toHaveAttribute( 'href', 'https://cloud.engraphis.test/account?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=analytics#billing', ); await page.getByRole('tab', { name: 'Automation' }).click(); - await expect(page.locator('#automation-pro-cta')).toHaveText('Start 3-day Pro trial'); + await expect(page.locator('#automation-pro-cta')).toHaveText('Start 7-day Pro trial'); await expect(page.locator('#automation-pro-cta')).toHaveAttribute( 'href', 'https://cloud.engraphis.test/account?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=automation#billing', @@ -2610,8 +2610,8 @@ test('billing cadence selects the exact Pro and Team checkout target', async ({ const pro = page.locator('#plan-cards [data-pro-cta="pro"]'); const team = page.locator('#plan-cards [data-pro-cta="team"]'); - await expect(pro).toHaveText('Start 3-day Pro trial'); - await expect(team).toHaveText('Start 10-day Team trial'); + await expect(pro).toHaveText('Start 7-day Pro trial'); + await expect(team).toHaveText('Start 14-day Team trial'); await expect(pro).toHaveAttribute( 'href', 'https://cloud.engraphis.test/account?plan=pro&interval=monthly&trial=pro&utm_source=engraphis&utm_medium=product&utm_campaign=pro_conversion&utm_content=plans#billing', diff --git a/tests/e2e/ledger_sliders_themes.spec.js b/tests/e2e/ledger_sliders_themes.spec.js index 4d8c6dd2..554f03a0 100644 --- a/tests/e2e/ledger_sliders_themes.spec.js +++ b/tests/e2e/ledger_sliders_themes.spec.js @@ -123,7 +123,7 @@ async function openDashboard(page, { graphScene = blackHoleGalaxyScene } = {}) { if (path === '/bootstrap') { return json({ - license: { plan: 'local', features: [], known_features: {}, cloud_managed: false, trial: { used: false, trial_days: 3 } }, + license: { plan: 'local', features: [], known_features: {}, cloud_managed: false, trial: { used: false, trial_days: 7 } }, workspaces: [{ name: 'default', memories: 8 }], embedder: { semantic: true }, }); diff --git a/tests/e2e/memory-workflow.spec.js b/tests/e2e/memory-workflow.spec.js index 5c4e36e5..931389b7 100644 --- a/tests/e2e/memory-workflow.spec.js +++ b/tests/e2e/memory-workflow.spec.js @@ -23,7 +23,7 @@ async function workflowFixture(page, { projectsUnavailable = false, delayProject const ok = payload => route.fulfill({ contentType: 'application/json', body: JSON.stringify(payload) }); if (path === '/bootstrap') return ok({ version: '1.7.7', workspaces: [{ name: 'work-one', memories: 2 }, { name: 'work-two', memories: 0 }], - license: { plan: 'local', features: [], known_features: {}, trial: { used: false, trial_days: 3 } }, + license: { plan: 'local', features: [], known_features: {}, trial: { used: false, trial_days: 7 } }, embedder: { semantic: true }, }); if (path === '/repos') { diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 3765afb9..e589685c 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v88.json" -PUBLIC_OFFLINE_SHA = "18af203925d9d53f77097b4459a30578b2d769a8bc9c7d224e7897f2a1b19199" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v89.json" +PUBLIC_OFFLINE_SHA = "8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245" @pytest.fixture(scope="module") diff --git a/tests/test_commercial_hardening.py b/tests/test_commercial_hardening.py index b8090907..1cfba7c3 100644 --- a/tests/test_commercial_hardening.py +++ b/tests/test_commercial_hardening.py @@ -169,7 +169,8 @@ def test_the_published_trial_and_grace_seconds_track_their_constants() -> None: for text in sources: assert '"trial_seconds": 259_200' not in text assert '"grace_seconds": 86_400' not in text - assert licensing.TRIAL_SECONDS == 3 * 24 * 60 * 60 + assert licensing.TRIAL_SECONDS == 7 * 24 * 60 * 60 + assert commercial.manifest()["trial"]["days_by_plan"] == {"pro": 7, "team": 14} assert licensing.MAX_HOSTED_ACCOUNT_GRACE_SECONDS == 24 * 60 * 60 assert ( licensing.MAX_LOCAL_WRITE_GRACE_SECONDS diff --git a/tests/test_dashboard_auth_placement.py b/tests/test_dashboard_auth_placement.py index 84937461..a1602950 100644 --- a/tests/test_dashboard_auth_placement.py +++ b/tests/test_dashboard_auth_placement.py @@ -233,7 +233,7 @@ def test_hosted_transfer_and_llm_consents_distinguish_sync_from_compute(): upgrade_url:'https://engraphis.com/pricing', plan:'local', access_state:'inactive', trial:{used:false, active:false, available:true, ends_at:0, - trial_days:3, days_by_plan:{pro:3, team:10}}}; + trial_days:7, days_by_plan:{pro:7, team:14}}}; let LIC = LIC_BASE; const location = {href:'https://127.0.0.1:8077/'}; let THROWN = null; @@ -308,7 +308,7 @@ def test_a_trial_eligible_local_installation_is_answered_with_the_consent_panel( assert 'class="hosted-opportunity"' in rendered["html"] assert ("Let your memory improve after you log off." if view == "automation" else "See the memory your team is about to lose.") in rendered["html"] - assert "Start 3-day Pro trial" in rendered["html"] + assert "Start 7-day Pro trial" in rendered["html"] assert "Annual Pro option" in rendered["html"] assert "explicitly approve each workspace in Manage > Settings" in rendered["html"] assert "Secret and session-scoped memories stay local." in rendered["html"] @@ -335,7 +335,7 @@ def test_a_consent_panel_links_subscribers_to_workspace_approval_without_checkou assert "on by default" not in rendered["html"] assert "Encrypted Cloud Sync is a separate choice" in rendered["html"] assert "Purchase Pro license" not in rendered["html"] - assert "Start 3-day Pro trial" not in rendered["html"] + assert "Start 7-day Pro trial" not in rendered["html"] @pytest.mark.skipif(shutil.which("node") is None, reason="node is required to run the UI") @@ -349,7 +349,7 @@ def test_classic_hosted_tabs_distinguish_trial_access_from_workspace_approval(tm }], script_path=CLASSIC_SCRIPT)["classic-trial"] html = rendered["html"] - assert "Start 3-day Pro trial" in html + assert "Start 7-day Pro trial" in html assert "explicitly approve each workspace in Manage > Settings" in html assert "come on automatically" not in html assert 'href="/?view=manage&tab=settings&workspace=workspace"' in html @@ -378,7 +378,7 @@ def test_a_genuine_entitlement_failure_still_renders_the_upgrade_panel( }])["unentitled"] assert 'class="upgrade-panel"' in rendered["html"] - assert "Start 3-day Pro trial" in rendered["html"] + assert "Start 7-day Pro trial" in rendered["html"] assert "Subscribe to Pro" not in rendered["html"] assert rendered["pill"] == "PRO" @@ -421,7 +421,7 @@ def test_the_upgrade_panel_never_offers_a_trial_the_server_would_refuse( }[state] assert expected_action in rendered["html"] # And the one thing that must not. - assert "Start 3-day Pro trial" not in rendered["html"] + assert "Start 7-day Pro trial" not in rendered["html"] assert reason in rendered["html"] @@ -495,7 +495,7 @@ def test_a_transient_hosted_conflict_is_not_answered_with_a_purchase_panel( account_url:'https://engraphis.example/account', plan:'local', access_state:'inactive', trial:{used:false, active:false, available:false, ends_at:0, - trial_days:3, days_by_plan:{pro:3, team:10}}}; + trial_days:7, days_by_plan:{pro:7, team:14}}}; let LIC = LIC_BASE; const location = {href:'https://127.0.0.1:8700/'}; """ @@ -545,7 +545,7 @@ def test_a_lapsed_customer_uses_the_plan_neutral_account_portal(tmp_path, plan): assert "checkout/" not in html assert "?plan=" not in html # A lapsed customer is never offered a trial. - assert "Start 3-day" not in html + assert "Start 7-day" not in html @pytest.mark.skipif(shutil.which("node") is None, reason="node is required to run the UI") @@ -564,10 +564,10 @@ def test_a_lapsed_customer_with_no_readable_plan_still_gets_a_billing_target(tmp @pytest.mark.parametrize("state,expected,absent", [ # The sidebar CTA opens this panel, so inactive and expired accounts keep the # matching actionable destination here as well. - ("inactive", "Start 3-day Pro trial", "Subscribe to Pro"), - ("trial_expired", "Subscribe to Pro", "Start 3-day Pro trial"), - ("trial", "Open Engraphis Cloud", "Start 3-day Pro trial"), - ("active", "Open Engraphis Cloud", "Start 3-day Pro trial"), + ("inactive", "Start 7-day Pro trial", "Subscribe to Pro"), + ("trial_expired", "Subscribe to Pro", "Start 7-day Pro trial"), + ("trial", "Open Engraphis Cloud", "Start 7-day Pro trial"), + ("active", "Open Engraphis Cloud", "Start 7-day Pro trial"), ]) def test_each_access_state_offers_the_one_action_that_can_succeed( tmp_path, state, expected, absent, @@ -577,7 +577,7 @@ def test_each_access_state_offers_the_one_action_that_can_succeed( "lic": {"plan": "pro", "access_state": state, "trial": {"used": state != "inactive", "active": state == "trial", "available": state == "inactive", "ends_at": 0, - "trial_days": 3, "days_by_plan": {"pro": 3, "team": 10}}}, + "trial_days": 7, "days_by_plan": {"pro": 7, "team": 14}}}, }])[state]["html"] if expected: @@ -610,7 +610,7 @@ def test_a_paying_team_customer_is_not_told_team_is_excluded(tmp_path): {"name": "free", "lic": {"plan": "local", "access_state": "inactive", "trial": {"used": False, "active": False, "available": True, "ends_at": 0, - "trial_days": 3, "days_by_plan": {"pro": 3, "team": 10}}}}, + "trial_days": 7, "days_by_plan": {"pro": 7, "team": 14}}}}, ]) assert rows["team-active"]["teamNote"] == ( @@ -629,7 +629,7 @@ def test_a_paying_team_customer_is_not_told_team_is_excluded(tmp_path): assert rows["pro-active"]["teamNote"] == "Your PRO subscription does not include this." assert "no longer active" in rows["team-lapsed"]["teamNote"] assert "free trial has ended" in rows["team-expired"]["teamNote"] - assert "exactly 10 active days" in rows["free"]["teamNote"] + assert "exactly 14 active days" in rows["free"]["teamNote"] def test_only_an_entitlement_status_may_draw_the_purchase_panel(): diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index b4e6ae6e..6a434dc3 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v88.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v89.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_hosted_plan_resolution.py b/tests/test_hosted_plan_resolution.py index 448ceaba..7ad71ab4 100644 --- a/tests/test_hosted_plan_resolution.py +++ b/tests/test_hosted_plan_resolution.py @@ -103,7 +103,7 @@ def _entitlement_dto(plan: str, *, active: bool = True, "expires_at": None, "is_trial": is_trial, "trial_consumed": trial_consumed or is_trial, - "trial_duration_seconds": 259_200 if is_trial else None, + "trial_duration_seconds": {"pro": 604_800, "team": 1_209_600}.get(plan) if is_trial else None, "trial_ends_at": trial_ends_at if is_trial else None, "version": 3, } @@ -1750,9 +1750,9 @@ def test_both_license_surfaces_report_the_same_plan(monkeypatch) -> None: assert v1["plan"] == v2["plan"] == "team" assert v1["features"] == v2["features"] assert "team" in v1["features"] - # The legacy envelope and its disclosure fields are unchanged. + # The legacy envelope retains the Pro duration; per-plan offers disclose Team. assert v1["cloud_managed"] is True - assert v1["trial_seconds"] == 259_200 + assert v1["trial_seconds"] == 604_800 assert v1["grace_seconds"] == 86_400 assert v1["grace_extends_cloud_access"] is False assert v1["upgrade_url"] @@ -1973,9 +1973,9 @@ def test_license_discloses_manifest_trial_days_by_plan_and_retains_legacy_days(m assert v2_api.get_license()["trial"]["trial_days"] == 7 -@pytest.mark.parametrize("trial", [{}, None, {"days_by_plan": {"pro": 3, "team": "10"}}, - {"days_by_plan": {"pro": 3, "team": True}}, - {"days_by_plan": {"pro": 3, "team": 0}}]) +@pytest.mark.parametrize("trial", [{}, None, {"days_by_plan": {"pro": 7, "team": "10"}}, + {"days_by_plan": {"pro": 7, "team": True}}, + {"days_by_plan": {"pro": 7, "team": 0}}]) def test_unknown_team_trial_duration_is_never_inferred_from_legacy_days(monkeypatch, trial) -> None: from engraphis import commercial diff --git a/tests/test_init.py b/tests/test_init.py index f6f1f15b..b1bdb5a9 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -367,27 +367,31 @@ def test_init_rejects_invalid_extras_before_writing_config(tmp_path, monkeypatch def test_init_configures_jev_key_on_fresh_setup(tmp_path, monkeypatch, capsys): + from engraphis.config import _parse_trusted_env + monkeypatch.chdir(tmp_path) assert main(["--jev-key", "test-typesafe-key-123", "--no-encryption"]) == 0 - env_content = _config_env(tmp_path).read_text() - assert "TYPESAFE_API_KEY=test-typesafe-key-123" in env_content - assert "JEV_API_KEY=test-typesafe-key-123" in env_content - assert "ENGRAPHIS_DECISION_BACKEND=byok" in env_content + values = _parse_trusted_env(_config_env(tmp_path).read_text()) + assert values["TYPESAFE_API_KEY"] == "test-typesafe-key-123" + assert values["JEV_API_KEY"] == "test-typesafe-key-123" + assert values["ENGRAPHIS_DECISION_BACKEND"] == "byok" out = capsys.readouterr().out assert "jev api key -> configured in trusted config" in out assert "test-typesafe-key-123" not in out def test_init_updates_jev_key_on_existing_setup(tmp_path, monkeypatch, capsys): + from engraphis.config import _parse_trusted_env + monkeypatch.chdir(tmp_path) env_file = _config_env(tmp_path) _write_private(env_file, "ENGRAPHIS_DB_PATH=/keep/database.db\n") assert main(["--jev-key", "updated-key-456"]) == 0 - updated_env = env_file.read_text() - assert "ENGRAPHIS_DB_PATH=/keep/database.db" in updated_env - assert "TYPESAFE_API_KEY=updated-key-456" in updated_env - assert "JEV_API_KEY=updated-key-456" in updated_env - assert "ENGRAPHIS_DECISION_BACKEND=byok" in updated_env + values = _parse_trusted_env(env_file.read_text()) + assert values["ENGRAPHIS_DB_PATH"] == "/keep/database.db" + assert values["TYPESAFE_API_KEY"] == "updated-key-456" + assert values["JEV_API_KEY"] == "updated-key-456" + assert values["ENGRAPHIS_DECISION_BACKEND"] == "byok" out = capsys.readouterr().out assert "jev api key -> updated in trusted config" in out assert "updated-key-456" not in out @@ -395,22 +399,51 @@ def test_init_updates_jev_key_on_existing_setup(tmp_path, monkeypatch, capsys): def test_init_reads_jev_key_from_stdin(tmp_path, monkeypatch, capsys): import io + from engraphis.config import _parse_trusted_env + monkeypatch.chdir(tmp_path) monkeypatch.setattr(sys, "stdin", io.StringIO("stdin-key-789\n")) assert main(["--jev-key", "-", "--no-encryption"]) == 0 - env_content = _config_env(tmp_path).read_text() - assert "TYPESAFE_API_KEY=stdin-key-789" in env_content + values = _parse_trusted_env(_config_env(tmp_path).read_text()) + assert values["TYPESAFE_API_KEY"] == "stdin-key-789" + assert values["JEV_API_KEY"] == "stdin-key-789" out = capsys.readouterr().out assert "jev api key -> configured in trusted config" in out assert "stdin-key-789" not in out -def test_init_rejects_malformed_jev_key(tmp_path, monkeypatch, capsys): +@pytest.mark.parametrize("existing", [False, True], ids=["fresh", "existing"]) +@pytest.mark.parametrize("key", [ + '"synthetic-leading-double', "'synthetic-leading-single", + 'synthetic"double\'single\\backslash#hash=$dollar', "synthetic-trailing-backslash\\", +]) +def test_init_jev_key_roundtrips_trusted_parser(tmp_path, monkeypatch, capsys, existing, key): + from engraphis.config import _parse_trusted_env + monkeypatch.chdir(tmp_path) - assert main(["--jev-key", "key with space", "--no-encryption"]) == 1 + env_file = _config_env(tmp_path) + if existing: + _write_private(env_file, "ENGRAPHIS_DB_PATH=/keep/database.db\n") + assert main(["--jev-key", key, "--no-encryption"]) == 0 + values = _parse_trusted_env(env_file.read_text()) + assert values["TYPESAFE_API_KEY"] == key + assert values["JEV_API_KEY"] == key + assert values["ENGRAPHIS_DECISION_BACKEND"] == "byok" + if existing: + assert values["ENGRAPHIS_DB_PATH"] == "/keep/database.db" + captured = capsys.readouterr() + assert key not in captured.out + captured.err + + +@pytest.mark.parametrize("key", ["key with space", "synthetic\nsecret", "synthetic\x00secret", + "synthetic\tsecret", "synthetic\u00e9secret"]) +def test_init_rejects_malformed_jev_key(tmp_path, monkeypatch, capsys, key): + monkeypatch.chdir(tmp_path) + assert main(["--jev-key", key, "--no-encryption"]) == 1 assert not _config_env(tmp_path).exists() - out = capsys.readouterr().out - assert "key must be printable ASCII without whitespace" in out + captured = capsys.readouterr() + assert "key must be printable ASCII without whitespace" in captured.out + assert key not in captured.out + captured.err def test_doctor_reports_jev_decision_status(tmp_path, monkeypatch, capsys): diff --git a/tests/test_jev_transport.py b/tests/test_jev_transport.py index 2a6110ab..4d5a4bea 100644 --- a/tests/test_jev_transport.py +++ b/tests/test_jev_transport.py @@ -252,6 +252,87 @@ def test_https_loopback_managed_requests_disable_ambient_proxies(managed, monkey for handler in handlers) +def test_http_loopback_managed_request_uses_saved_origin_without_proxy(monkeypatch): + import socket + import threading + from http.server import BaseHTTPRequestHandler, HTTPServer + + requests = [] + + class Handler(BaseHTTPRequestHandler): + def do_POST(self): + requests.append((self.path, self.headers["Authorization"], json.loads( + self.rfile.read(int(self.headers["Content-Length"])), + ))) + body = json.dumps(_normalized()).encode() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(body))) + self.end_headers() + self.wfile.write(body) + + def log_message(self, *args): + pass + + server = HTTPServer(("127.0.0.1", 0), Handler) + thread = threading.Thread(target=server.serve_forever, kwargs={"poll_interval": 0.01}, daemon=True) + thread.start() + control = "http://127.0.0.1:%s" % server.server_port + + def resolve(host, port, *args, **kwargs): + assert host == "127.0.0.1", "test attempted non-loopback resolution" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, port))] + + def refresh(control_url, credential, workspace_id, token_subject): + assert (control_url, credential, workspace_id, token_subject) == ( + control, "synthetic-refresh", None, "member", + ) + return {"access_token": "synthetic-access", "refresh_credential": "synthetic-rotated", + "organization_id": "org_synthetic"} + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + monkeypatch.setattr(cloud_session, "_post_refresh", refresh) + for variable in ("HTTP_PROXY", "http_proxy", "HTTPS_PROXY", "https_proxy", "ALL_PROXY"): + monkeypatch.setenv(variable, "http://proxy.invalid:8080") + for variable in ("NO_PROXY", "no_proxy"): + monkeypatch.setenv(variable, "") + try: + cloud_session.save_bootstrap( + {"refresh_credential": "synthetic-refresh", "organization_id": "org_synthetic"}, + control_url=control, + ) + # Once saved, a changed environment cannot redirect this credential family. + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", "http://other.invalid") + client = transport.create_cloud_decision_client(timeout_s=2) + assert client.is_configured + batch = client.evaluate("Synthetic local evidence", [_question()], model=transport.MODEL, + allow_remote=True, data_classification="public") + assert batch.get_noul("q").probability == 0.9 + assert len(requests) == 1 + path, authorization, body = requests[0] + assert path == "/v1/jev/decide" + assert authorization == "Bearer synthetic-access" + assert body["state"] == "Synthetic local evidence" + assert cloud_session.credential_bound_control_url() == control + assert cloud_session._load()["refresh_credential"] == "synthetic-rotated" + finally: + server.shutdown() + server.server_close() + thread.join(timeout=2) + assert not thread.is_alive() + + +@pytest.mark.parametrize("url", ["http://remote.invalid", "http://192.0.2.1", "http://10.0.0.1"]) +def test_remote_http_rejected_before_validation_or_credentials_sent(monkeypatch, url): + def forbidden(*args, **kwargs): + pytest.fail("non-loopback HTTP reached the network path") + + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", forbidden) + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", forbidden) + with pytest.raises(transport.DecisionClientError, match="invalid_configuration"): + transport._post_json(url, "synthetic-access", {}, 1) + + def test_url_validation_consumes_budget_before_network_open(monkeypatch): clock = [10.0] monkeypatch.setattr(transport.time, "monotonic", lambda: clock[0]) diff --git a/tests/test_licensing_launch.py b/tests/test_licensing_launch.py index bee094d4..f97846cc 100644 --- a/tests/test_licensing_launch.py +++ b/tests/test_licensing_launch.py @@ -32,7 +32,8 @@ "pro": {"analytics", "automation", "export", "sync"}, "team": {"analytics", "automation", "export", "sync", "team"}, } -SERVER_TRIAL_DURATION_SECONDS = 259_200 +# The compatibility scalar is the Pro duration; Team uses the per-plan offer. +SERVER_TRIAL_DURATION_SECONDS = 604_800 SERVER_WORKSPACE_WRITE_GRACE_MAX_SECONDS = 86_400 diff --git a/tests/test_pro_cta.py b/tests/test_pro_cta.py index 8805d945..a6183798 100644 --- a/tests/test_pro_cta.py +++ b/tests/test_pro_cta.py @@ -60,17 +60,17 @@ def test_trial_ctas_use_each_disclosed_plan_duration_without_guessing_team(tmp_p functions = ("licAccessState", "licPlanKey", "licTrialAvailable", "licAccessLive", "licTrialDays", "hostedCta") cases = [ - ({"trial_days": 3, "days_by_plan": {"pro": 3, "team": 10}}, - ["Start 3-day Pro trial", "Start 10-day Team trial"]), - ({"trial_days": 3, "days_by_plan": {"pro": 5, "team": 17}}, + ({"trial_days": 7, "days_by_plan": {"pro": 7, "team": 14}}, + ["Start 7-day Pro trial", "Start 14-day Team trial"]), + ({"trial_days": 7, "days_by_plan": {"pro": 5, "team": 17}}, ["Start 5-day Pro trial", "Start 17-day Team trial"]), - ({"trial_days": 3}, ["Start 3-day Pro trial", "Start Team trial"]), - ({"trial_days": 3, "days_by_plan": {"team": "10"}}, - ["Start 3-day Pro trial", "Start Team trial"]), - ({"trial_days": 3, "days_by_plan": {"team": True}}, - ["Start 3-day Pro trial", "Start Team trial"]), - ({"trial_days": 3, "days_by_plan": {"team": 0}}, - ["Start 3-day Pro trial", "Start Team trial"]), + ({"trial_days": 7}, ["Start 7-day Pro trial", "Start Team trial"]), + ({"trial_days": 7, "days_by_plan": {"team": "10"}}, + ["Start 7-day Pro trial", "Start Team trial"]), + ({"trial_days": 7, "days_by_plan": {"team": True}}, + ["Start 7-day Pro trial", "Start Team trial"]), + ({"trial_days": 7, "days_by_plan": {"team": 0}}, + ["Start 7-day Pro trial", "Start Team trial"]), ({}, ["Start Pro trial", "Start Team trial"]), ] # Isolate display semantics; real checkout routing is covered by the browser suite. diff --git a/tests/test_smart_mcp_gateway.py b/tests/test_smart_mcp_gateway.py index 2b84fed7..55a7f0de 100644 --- a/tests/test_smart_mcp_gateway.py +++ b/tests/test_smart_mcp_gateway.py @@ -44,6 +44,7 @@ "engraphis_ingest", "engraphis_consolidate", "engraphis_ingest_postgres_schema", "engraphis_receipts", "engraphis_context_savings", "engraphis_verify_receipts", "engraphis_export_receipts", "engraphis_check_update", "engraphis_link_symbol", + "engraphis_decide", } @@ -139,12 +140,12 @@ def test_smart_remember_rejects_invalid_exact_values(monkeypatch, content, value assert server._service.store.conn.execute("SELECT COUNT(*) FROM memories").fetchone()[0] == 0 -def test_classic_mcp_retains_the_34_named_tool_compatibility_surface(monkeypatch): +def test_classic_mcp_retains_the_named_tool_compatibility_surface(monkeypatch): server = _memory_server(monkeypatch) classic = _tools(server, "classic_mcp") assert set(classic) == CLASSIC_TOOL_NAMES - assert len(classic) == 35 + assert len(classic) == 36 # These aliases carry distinct historical defaults and must not disappear. assert {"engraphis_answer", "engraphis_forget"} <= set(classic) diff --git a/tests/test_v1_licensing.py b/tests/test_v1_licensing.py index 834b414f..fe3437b8 100644 --- a/tests/test_v1_licensing.py +++ b/tests/test_v1_licensing.py @@ -30,7 +30,7 @@ def test_v1_reports_hosted_plan_boundary(monkeypatch): license_state = client.get("/memory/license").json()["data"] assert license_state["plan"] == "local" assert license_state["cloud_managed"] is True - assert license_state["trial_seconds"] == 259_200 + assert license_state["trial_seconds"] == 604_800 assert license_state["grace_seconds"] == 86_400 From 04941d67c53c518ce5bb6a66e1dab46ceeca7c85 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 05:23:34 -0400 Subject: [PATCH 16/64] Bind workspace routing evidence to the integrated safeguards --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v90.json | 692 ++++++++++++++++++ .../offline-fixtures-v90.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- 8 files changed, 707 insertions(+), 14 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v90.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v90.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index bfa09177..cb48e80d 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-workspace-routing-20260928.json`](docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json) artifact. Its +[`offline-fixtures-v90.json`](docs/benchmark-evidence/offline-fixtures-v90.json) artifact. Its SHA-256 is -`8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e`, also recorded in the +`3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`83f9e30fee80e7343b704acddb3ab2af430b86b649e8f5977405208d7f7adda5`. The artifact defines +`14e6f930a1c7f2ec1ed5ca7ef018026bf6c15972de08ff6bc2d27f299f59a108`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v90.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v90.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index e9b34bad..dd3f92dd 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-workspace-routing-20260928.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json), +[`offline-fixtures-v90.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v90.json), SHA-256 -`8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e`. +`3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v90.json b/docs/benchmark-evidence/offline-fixtures-v90.json new file mode 100644 index 00000000..73f6047a --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v90.json @@ -0,0 +1,692 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v90.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v90.json.sha256 new file mode 100644 index 00000000..e6056c1a --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v90.json.sha256 @@ -0,0 +1 @@ +3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566 offline-fixtures-v90.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 89fef678..719b7577 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -8e50e02ecdee +3526c3db4768 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 44946b2b..7d87d66e 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e + SHA256 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566 diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 68746e4a..8ee40145 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-workspace-routing-20260928.json" -PUBLIC_OFFLINE_SHA = "8e50e02ecdeecdf9c323e06316bc7d1b3307caf2ce3e88fb26fdd1f68470c09e" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v90.json" +PUBLIC_OFFLINE_SHA = "3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index d24695d0..2daa8577 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-workspace-routing-20260928.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v90.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} From b036a2f23f3970a4dd54304beb5026c692c66ae3 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 05:33:11 -0400 Subject: [PATCH 17/64] Bind combined workspace and Jev evidence to the validated source --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v91.json | 693 ++++++++++++++++++ .../offline-fixtures-v91.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- 8 files changed, 708 insertions(+), 14 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v91.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v91.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index c1b9eb95..bee47035 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v89.json`](docs/benchmark-evidence/offline-fixtures-v89.json) artifact. Its +[`offline-fixtures-v91.json`](docs/benchmark-evidence/offline-fixtures-v91.json) artifact. Its SHA-256 is -`8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245`, also recorded in the +`392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`642a2106cb16b9f123884acd9f0d1bdcdc2658c564b9ab12ed318c1a1de3b311`. The artifact defines +`992719a0ecdde3e8b37f93d7e697874ba1df0eabfa32033915a4898c17ad126e`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v89.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v91.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v89.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v91.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 8cb084d9..98097cc8 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v89.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v89.json), +[`offline-fixtures-v91.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v91.json), SHA-256 -`8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245`. +`392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v91.json b/docs/benchmark-evidence/offline-fixtures-v91.json new file mode 100644 index 00000000..8b9e609c --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v91.json @@ -0,0 +1,693 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"eval/datasets/coding_memory_v1/oracles/juniper-west--code_relationships.py": "f0a682d413b3d8418c664db2775de4eef35240c508cc71ca6bbc055cd0c8dbe6", + "eval/datasets/coding_memory_v1/oracles/juniper-west--condition_values.py": "200a4b78f201e992ac10112a194c97b88841dc5930e3e7de9bfc076bf4c69fa7", + "eval/datasets/coding_memory_v1/oracles/juniper-west--corrections.py": "41ea9b5a5f40d8703343f4570593c3f27905e5ff70fae57bdbdb5fcccc585d22", + "eval/datasets/coding_memory_v1/oracles/juniper-west--long_documents.py": "7d8cdd01c5d90ad62e9da93a99febead683e3f01c5ca37315382a2fb0f512d76", + "eval/datasets/coding_memory_v1/oracles/juniper-west--multilingual.py": "1815adc5946bf9e7dba16786d8c29f9466537b7a43b1c392f927b61c56da54ee", + "eval/datasets/coding_memory_v1/oracles/juniper-west--paraphrases.py": "5d0110bc2098d2143303476fb5c5714086d0278b848110c63aa626e0b88311cc", + "eval/datasets/coding_memory_v1/oracles/juniper-west--poisoning.py": "4e16d9de9931cffc6915805b4fc375dad3ffb7fad17eb893205ce6d07102bcb3", + 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"50820fe7f821d111e17e4e77a3d1159e7d6979d110b052c4f254a5b309c2652a", + "eval/fts_insert_scaling.py": "6088997e0f85d430fafb74509e24a960fbd59c06c8b2839285942b97d2116724", + "eval/graph_every_bench.py": "79da573c5edf315f71bfab412d3ea283b8da45d1fdabc78ddd19302ead09e4f0", + "eval/graph_traversal.py": "b094f75c3a1d75ba3cf19e372187d692d3c595a1d9bde19bbe95ae0c79a5175f", + "eval/grounded.py": "053d5193b716a2c3e507fcd44057d392de910a4442b46bd7cc1f30ac0ba68541", + "eval/handoff_quality.py": "7daf635510764e236f48ca7e2537a85d8ebc1ad995513144329c1f0236405937", + "eval/harness.py": "8c96c26a121dfc2d9ea051a05861af8951c93a732dba9cb13de0de178414b016", + "eval/hosted_evidence.py": "7946cd8c1e3aa291268271b2aa11210d5f09c9b05ba635aa0b64bef07bdcee45", + "eval/hosted_ledger.py": "a53036d12ff671371c148910a816fb20c7e7f3346250a303722352f47b06c476", + "eval/hosted_luna.py": "4dbf02a65eec38bcde92d82952a0b372abbac1f68378d11a04528f4a31a835dc", + "eval/local_benchmark_queue.py": "43fa67b4d653e770822da816511e8e62b3714e60d2edd49ea2a4c5c3d8d20851", + "eval/local_capacity_campaign.py": "ab4935263f9d24c4e38bd4f16164b4c4c07eff91c695809b6fc75299d4f03d62", + "eval/longmemeval_v2.py": "defb4d47f453aa4615a8f101b82df3fadf64f0f9eae0ce1021d86d3750dad437", + "eval/longmemeval_v2_evidence.py": "8486bd4dcfdd8b1f7a14c32fe4f427c980ccdcc3aa2eb018d7dfc40305412eff", + "eval/longmemeval_v2_matrix.py": "ca085cd59481813cce5dbdfbc94f40f67173ac3a1bc3dce6f6d3e09eb7b08153", + "eval/metrics.py": "16857e2cf6ed339cb57a26c9bfa1879444b4d279bd972e5a9fa644ed1308afe0", + "eval/native_coverage_scaling.py": "0d318c116241050fc0c7bdbbb5646ca67944d7c304ccd9a462834e0553ffa90a", + "eval/performance.py": "dccc55c26dc396f9fee98defd152900cf8aabeb5d6198bc711e0eb8f472ecc57", + "eval/performance_engine.py": "3d37cf0a5989c8fa6e8b6ab7ae0b2e0d5410a8b922d2f3130c1a7794d93dcbb1", + "eval/planned_recall.py": "f9a87291ecb181045b98ca65fe55db820bf7cee4ae4f4d087ca3458afdd7837e", + "eval/proactive_ranking.py": "8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab", + "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717", + "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751", + "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v91.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v91.json.sha256 new file mode 100644 index 00000000..36712391 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v91.json.sha256 @@ -0,0 +1 @@ +392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02 offline-fixtures-v91.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index ac909e78..aace5e57 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -8ea06d3d2978 +392d88e07cd2 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index c761a66e..7be1ad5d 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245 + SHA256 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02 diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index e589685c..29e80aa9 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v89.json" -PUBLIC_OFFLINE_SHA = "8ea06d3d2978f3608700e872177999c4d535556a3995cba7eb6523f498fa3245" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v91.json" +PUBLIC_OFFLINE_SHA = "392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 6a434dc3..ee1bd21d 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v89.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v91.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} From a2f63c733acf6699ed17309c2c48b1cb50158981 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 05:48:12 -0400 Subject: [PATCH 18/64] Probe descendant cleanup after timeout without a scheduler race --- tests/test_update.py | 108 +++++++++++++++++++++++++++++++++++-------- 1 file changed, 88 insertions(+), 20 deletions(-) diff --git a/tests/test_update.py b/tests/test_update.py index c57cbbbe..c704e5a4 100644 --- a/tests/test_update.py +++ b/tests/test_update.py @@ -2,6 +2,7 @@ import json import os import shutil +import socket import subprocess import sys import time @@ -576,7 +577,14 @@ def test_the_budget_holds_even_when_a_grandchild_still_owns_the_pipe(): assert elapsed < 30, "the budget was not enforced: waited %.1fs" % elapsed -def test_a_stalled_uncaptured_step_takes_its_descendants_with_it(tmp_path): +@pytest.mark.parametrize( + ("parent_only", "cleanup_delay"), + [(False, 0), (False, 2), (True, 0)], + ids=["whole-tree", "delayed-cleanup", "parent-only-negative-control"], +) +def test_a_stalled_uncaptured_step_takes_its_descendants_with_it( + tmp_path, monkeypatch, parent_only, cleanup_delay, +): """The budget has to bound the *tree*, not just the process we happen to hold. ``pip install``, ``pipx`` and ``git fetch`` are displayed rather than parsed, so @@ -590,34 +598,94 @@ def test_a_stalled_uncaptured_step_takes_its_descendants_with_it(tmp_path): sentinel = tmp_path / "descendant-outlived-the-budget" grandchild = tmp_path / "grandchild.py" grandchild.write_text( - "import sys, time\n" - "time.sleep(3)\n" - "open(sys.argv[1], 'w').write('still here')\n", + "import socket, sys\n" + "with socket.create_connection(('127.0.0.1', int(sys.argv[2])), timeout=30) as peer:\n" + " peer.sendall(b'R')\n" + " if peer.recv(1) == b'W':\n" + " with open(sys.argv[1], 'w') as target:\n" + " target.write('still here')\n" + " peer.sendall(b'W')\n", encoding="utf-8", ) child = tmp_path / "child.py" child.write_text( "import subprocess, sys, time\n" - "subprocess.Popen([sys.executable, sys.argv[1], sys.argv[2]])\n" + "subprocess.Popen([sys.executable, *sys.argv[1:]])\n" "time.sleep(60)\n", encoding="utf-8", ) - started = time.monotonic() - with pytest.raises(update.UpdateTimeout) as exc: - update._run([sys.executable, str(child), str(grandchild), str(sentinel)], - "Installing the update", 2) - assert "timed out after 2s" in str(exc.value) - assert time.monotonic() - started < 30, "the call itself was not bounded" - - # Well past the moment the grandchild would have written, had it survived the kill. - deadline = time.monotonic() + 6 - while time.monotonic() < deadline and not sentinel.exists(): - time.sleep(0.2) - assert not sentinel.exists(), ( - "a descendant outlived the budget and was still touching the environment while " - "the updater had already moved on to rollback" - ) + real_popen = subprocess.Popen + real_kill_tree = update._kill_process_tree + real_terminate_job = update._terminate_windows_job + processes = [] + peer = None + + with socket.socket() as listener: + listener.bind(("127.0.0.1", 0)) + listener.listen(1) + listener.settimeout(15) + + def spawn(command, **kwargs): + process = real_popen(command, **kwargs) + if command[:2] != [sys.executable, str(child)]: + return process # taskkill must remain an ordinary real subprocess. + processes.append(process) + communicate = process.communicate + + def wait_until_ready(*args, **kwargs): + nonlocal peer + if peer is None: + # Job assignment has already happened before communicate is called. + # Begin the short timeout only once a real descendant exists. + peer, _ = listener.accept() + peer.settimeout(15) + assert peer.recv(1) == b"R" + return communicate(*args, **kwargs) + + monkeypatch.setattr(process, "communicate", wait_until_ready) + return process + + def terminate_job(job): + # Scheduler delay may exceed the old 3s sentinel timer. Only activity after + # _run returns violates the rollback guarantee, not activity before cleanup. + time.sleep(cleanup_delay) + real_terminate_job(job) + + monkeypatch.setattr(update.subprocess, "Popen", spawn) + monkeypatch.setattr(update, "_terminate_windows_job", terminate_job) + if parent_only: + monkeypatch.setattr(update, "_start_windows_job", lambda process: None) + monkeypatch.setattr(update, "_kill_process_tree", lambda process: process.kill()) + try: + started = time.monotonic() + with pytest.raises(update.UpdateTimeout) as exc: + update._run( + [sys.executable, str(child), str(grandchild), str(sentinel), + str(listener.getsockname()[1])], + "Installing the update", 2, + ) + assert "timed out after 2s" in str(exc.value) + assert time.monotonic() - started < 30, "the call itself was not bounded" + assert peer is not None, "a real descendant must participate in the test" + + # A surviving child must answer the post-return probe. EOF/reset proves the + # process closed its socket; silence times out and fails instead of passing. + try: + peer.sendall(b"W") + answer = peer.recv(1) + except (BrokenPipeError, ConnectionResetError, ConnectionAbortedError): + answer = b"" + assert answer == (b"W" if parent_only else b"") + assert sentinel.exists() is parent_only, ( + "a descendant survived cleanup and wrote after the updater returned" + ) + finally: + if peer is not None: + peer.close() # EOF also releases the negative-control descendant. + for process in processes: + real_kill_tree(process) + process.wait(timeout=5) # ── the destructive step belongs inside the rollback boundary ───────────────── From 8562c017baea269620f23351bda302d2c35f1e33 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 05:49:43 -0400 Subject: [PATCH 19/64] Include credential refresh in the managed Jev request deadline --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v92.json | 694 ++++++++++++++++++ .../offline-fixtures-v92.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_transport.py | 206 +----- engraphis/cloud_session.py | 138 +++- engraphis/http_deadline.py | 183 +++++ tests/test_benchmark_evidence.py | 4 +- tests/test_cloud_session_deadline.py | 316 ++++++++ tests/test_documentation_contracts.py | 2 +- tests/test_jev_transport.py | 7 +- 13 files changed, 1356 insertions(+), 217 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v92.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v92.json.sha256 create mode 100644 engraphis/http_deadline.py create mode 100644 tests/test_cloud_session_deadline.py diff --git a/BENCHMARKS.md b/BENCHMARKS.md index bee47035..384069fa 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v91.json`](docs/benchmark-evidence/offline-fixtures-v91.json) artifact. Its +[`offline-fixtures-v92.json`](docs/benchmark-evidence/offline-fixtures-v92.json) artifact. Its SHA-256 is -`392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02`, also recorded in the +`776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`992719a0ecdde3e8b37f93d7e697874ba1df0eabfa32033915a4898c17ad126e`. The artifact defines +`ceb7dc7c012be65fb99d09482439a86879951c54f085ec60ff546e873d88ebfc`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v91.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v92.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v91.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v92.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 98097cc8..85755ad8 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v91.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v91.json), +[`offline-fixtures-v92.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v92.json), SHA-256 -`392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02`. +`776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v92.json b/docs/benchmark-evidence/offline-fixtures-v92.json new file mode 100644 index 00000000..332daef3 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v92.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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b/docs/images/context-efficiency.svg index aace5e57..036f27f3 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -392d88e07cd2 +776201ff3f76 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 7be1ad5d..2402ee9a 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02 + SHA256 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py index 272a4aad..5f27d098 100644 --- a/engraphis/backends/jev_transport.py +++ b/engraphis/backends/jev_transport.py @@ -13,11 +13,16 @@ import time import urllib.error import urllib.request -from contextlib import contextmanager from dataclasses import dataclass, field from typing import TYPE_CHECKING, Dict, Optional, Sequence from urllib.parse import urlsplit +from engraphis.http_deadline import ( + deadline_handlers as _deadline_handlers, + read_response as _read_deadline_response, + remaining_time as _remaining_time, +) + if TYPE_CHECKING: from engraphis.backends.jev_decision import DecisionQuestion @@ -200,178 +205,11 @@ def _timeout(value: float) -> float: return float(value) -def _remaining_time(deadline: float) -> float: - remaining = deadline - time.monotonic() - if remaining <= 0: - raise TimeoutError("decision request deadline exceeded") - return remaining - - -@contextmanager -def _socket_deadline(sock, deadline: float): - """Interrupt a blocking HTTP parser even when every receive makes progress.""" - import socket - import threading - - timer = None - if isinstance(sock, socket.socket): - # Even read1() can consume several reads while parsing chunk framing. - # Interrupt the socket at the deadline so slow chunk headers cannot keep - # a single read1() alive. Shutdown does not acquire the reader's lock. - def expire(): - try: - sock.shutdown(socket.SHUT_RDWR) - except OSError: - pass - - timer = threading.Timer(_remaining_time(deadline), expire) - timer.daemon = True - timer.start() - try: - yield - finally: - if timer is not None: - timer.cancel() - - -def _deadline_handlers(deadline: float, *, loopback_only: bool = False): - import http.client - import ipaddress - import socket - import urllib.request - from functools import partial - from engraphis.hosted_client import PinnedHTTPSConnection, PinnedHTTPSHandler - - def connect_socket(address, timeout=None, source_address=None, *, loopback_only=False): - # socket.create_connection renews its timeout for each resolved address. - # Share the request budget across direct, loopback and proxy dial retries. - _remaining_time(deadline) - host, port = address - candidates = socket.getaddrinfo(host, port, 0, socket.SOCK_STREAM) - last_error = None - for family, kind, protocol, _, target in candidates: - remaining = _remaining_time(deadline) - if loopback_only and not ipaddress.ip_address(target[0]).is_loopback: - raise ValueError("loopback decisions must connect to loopback") - sock = None - try: - sock = socket.socket(family, kind, protocol) - sock.settimeout(remaining) - if source_address is not None: - sock.bind(source_address) - sock.connect(target) - # TLS must receive only the budget left after the TCP dial. - sock.settimeout(_remaining_time(deadline)) - return sock - except OSError as exc: - if sock is not None: - sock.close() - last_error = exc - if last_error is not None: - raise last_error - raise OSError("decision endpoint has no connectable address") - - def send_with_deadline(connection, send, data): - if connection.sock is None: - if not connection.auto_open: - raise http.client.NotConnected() - connection.connect() - if connection.sock is None: - raise http.client.NotConnected() - connection.sock.settimeout(_remaining_time(deadline)) - # Headers and bodies are separate sends; SSL/file sends may also loop. - with _socket_deadline(connection.sock, deadline): - send(data) - _remaining_time(deadline) - - class DeadlineResponse(http.client.HTTPResponse): - def __init__(self, sock, *args, **kwargs): - self._deadline_socket = sock - super().__init__(sock, *args, **kwargs) - - def begin(self): - # getresponse() parses status and headers before urllib.open() - # returns. Protect that phase before a response body is available. - with _socket_deadline(self._deadline_socket, deadline): - super().begin() - _remaining_time(deadline) - - class DeadlineHTTPConnection(http.client.HTTPConnection): - response_class = DeadlineResponse - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self._create_connection = partial(connect_socket, loopback_only=True) - - def send(self, data): - send_with_deadline(self, super().send, data) - - class DeadlineHTTPSConnection(PinnedHTTPSConnection): - response_class = DeadlineResponse - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self._create_connection = partial(connect_socket, loopback_only=loopback_only) - - def _connect_deadline(self): - return deadline - - def _attempt_timeout(self, connect_deadline): - # The shared hosted client has a 500 ms floor; decisions do not. - return _remaining_time(deadline) - - def send(self, data): - send_with_deadline(self, super().send, data) - - def _tunnel(self): - # CONNECT parses its response directly, bypassing response.begin(). - with _socket_deadline(self.sock, deadline): - # typeshed omits this private standard-library method. - getattr(super(), "_tunnel")() - # TLS follows CONNECT and shares its remaining budget. - self.sock.settimeout(_remaining_time(deadline)) - - class DeadlineHTTPHandler(urllib.request.HTTPHandler): - def http_open(self, req): - return self.do_open(DeadlineHTTPConnection, req) - - class DeadlineHTTPSHandler(PinnedHTTPSHandler): - # Run before the shared opener's ordinary pinned HTTPS handler. - handler_order = 499 - - def do_open(self, http_class, req, **kwargs): - return super().do_open(DeadlineHTTPSConnection, req, **kwargs) - - return DeadlineHTTPHandler(), DeadlineHTTPSHandler() - - def _read_response(response, deadline: float) -> bytes: - """Bound total body-read time, including a peer that continuously drips bytes.""" - sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) - with _socket_deadline(sock, deadline): - return _read_response_chunks(response, deadline) - - -def _read_response_chunks(response, deadline: float) -> bytes: - data = bytearray() - while len(data) <= MAX_RESPONSE_BYTES: - remaining = _remaining_time(deadline) - # urllib's HTTPResponse wraps SocketIO in a BufferedReader. Tighten the - # underlying socket deadline for each read rather than renewing the full - # timeout. fp is None after a length-delimited response reaches EOF. - sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) - if sock is not None: - sock.settimeout(remaining) - # read() tries to fill its entire buffer; read1() returns after a single - # buffered/socket read, letting the absolute deadline run between chunks. - chunk = response.read1(min(4096, MAX_RESPONSE_BYTES + 1 - len(data))) - _remaining_time(deadline) - if not chunk: - break - data.extend(chunk) - if len(data) > MAX_RESPONSE_BYTES: + raw = _read_deadline_response(response, deadline, max_bytes=MAX_RESPONSE_BYTES) + if len(raw) > MAX_RESPONSE_BYTES: raise DecisionClientError("malformed_response") - return bytes(data) + return raw class _NoRedirect(urllib.request.HTTPRedirectHandler): @@ -379,13 +217,17 @@ def redirect_request(self, req, fp, code, msg, headers, newurl): raise DecisionClientError("remote_unavailable") -def _post_json(url: str, token: str, payload: dict, timeout_s: float) -> object: +def _post_json( + url: str, token: str, payload: dict, timeout_s: float, *, deadline: Optional[float] = None, +) -> object: from engraphis.hosted_client import ( _is_loopback_host, build_pinned_https_opener, validate_cloud_base_url, ) - deadline = time.monotonic() + timeout_s + if deadline is None: + deadline = time.monotonic() + timeout_s try: + _remaining_time(deadline) parts = urlsplit(url) permitted_transport = parts.scheme == "https" or ( parts.scheme == "http" and _is_loopback_host(parts.hostname or "") @@ -468,23 +310,33 @@ def allow_fallback(self) -> bool: def evaluate(self, state: str, questions: Sequence[DecisionQuestion], *, model: str, allow_remote: bool = False, purpose: str = "custom", data_classification: str = "internal") -> CloudDecisionBatch: + deadline = time.monotonic() + self.timeout_s payload = _request_payload(state, questions, model, allow_remote=allow_remote, purpose=purpose, data_classification=data_classification) from engraphis import cloud_session try: before = cloud_session.credential_bound_control_url() + _remaining_time(deadline) token, _organization, _compute = cloud_session.access_for_workspace( - None, require_compute=False, + None, require_compute=False, deadline=deadline, ) + _remaining_time(deadline) control = cloud_session.credential_bound_control_url() + _remaining_time(deadline) if not before or control != before: raise DecisionClientError("session_changed") - body = _post_json(control.rstrip("/") + "/v1/jev/decide", token, payload, self.timeout_s) - return parse_decision_batch(body, questions, normalized=True) + body = _post_json(control.rstrip("/") + "/v1/jev/decide", token, payload, + self.timeout_s, deadline=deadline) + result = parse_decision_batch(body, questions, normalized=True) + _remaining_time(deadline) + return result except DecisionClientError: raise + except TimeoutError: + raise DecisionClientError("remote_timeout") from None except Exception: - raise DecisionClientError("remote_unavailable") from None + code = "remote_timeout" if time.monotonic() >= deadline else "remote_unavailable" + raise DecisionClientError(code) from None class TypeSafeDecisionClient: diff --git a/engraphis/cloud_session.py b/engraphis/cloud_session.py index 4bdb7f80..a0283300 100644 --- a/engraphis/cloud_session.py +++ b/engraphis/cloud_session.py @@ -6,6 +6,7 @@ """ from __future__ import annotations +import errno import hashlib import hmac import http.client @@ -20,13 +21,16 @@ from contextlib import contextmanager from pathlib import Path from typing import Optional, Tuple +from urllib.parse import urlsplit from engraphis.hosted_client import ( CloudUrlUnresolved, + _is_loopback_host, account_url, build_pinned_https_opener, validate_cloud_base_url, ) +from engraphis.http_deadline import deadline_handlers, read_response, remaining_time from engraphis.private_state import ( UnsafeStateFile, atomic_private_text, @@ -166,14 +170,62 @@ def _refresh_lock_path() -> Path: @contextmanager -def _refresh_lock(): +def _refresh_thread_lock(deadline: Optional[float]): + acquired = ( + _REFRESH_THREAD_LOCK.acquire() if deadline is None + else _REFRESH_THREAD_LOCK.acquire(timeout=remaining_time(deadline)) + ) + if not acquired: + raise TimeoutError("cloud session refresh lock deadline exceeded") + try: + _check_deadline(deadline) + yield + finally: + _REFRESH_THREAD_LOCK.release() + + +def _check_deadline(deadline: Optional[float]) -> None: + if deadline is not None: + remaining_time(deadline) + + +def _acquire_refresh_file_lock(handle, deadline: Optional[float]) -> None: + if os.name == "nt": + import msvcrt + handle.seek(0, os.SEEK_END) + if handle.tell() == 0: + handle.write(b"\0") + handle.flush() + handle.seek(0) + while True: + _check_deadline(deadline) + try: + if os.name == "nt": + import msvcrt + mode = msvcrt.LK_LOCK if deadline is None else msvcrt.LK_NBLCK + msvcrt.locking(handle.fileno(), mode, 1) + else: + import fcntl + mode = fcntl.LOCK_EX | (0 if deadline is None else fcntl.LOCK_NB) + fcntl.flock(handle.fileno(), mode) + return + except OSError as exc: + # Only contention is retryable. Other permission/filesystem failures + # keep the existing safe-lock error, without spinning until timeout. + if deadline is None or exc.errno not in {errno.EACCES, errno.EAGAIN, errno.EDEADLK}: + raise + time.sleep(min(0.01, remaining_time(deadline))) + + +@contextmanager +def _refresh_lock(*, deadline: Optional[float] = None): """Serialize spend-and-rotate of the single-use refresh credential. The thread lock covers one Python process; the one-byte advisory lock covers multiple workers sharing the same owner-only state directory. The lock file remains in place so every process coordinates on one stable filesystem object. """ - with _REFRESH_THREAD_LOCK: + with _refresh_thread_lock(deadline): lock_path = _refresh_lock_path() try: ensure_private_dir(lock_path.parent) @@ -196,7 +248,8 @@ def _refresh_lock(): None if expected is None else (expected.st_dev, expected.st_ino) ) if ( - not stat.S_ISREG(opened.st_mode) + current is None + or not stat.S_ISREG(opened.st_mode) or getattr(opened, "st_nlink", 1) != 1 or (expected_identity is not None and expected_identity != (opened.st_dev, opened.st_ino)) @@ -214,22 +267,16 @@ def _refresh_lock(): handle = os.fdopen(descriptor, "r+b") locked = False try: - if os.name == "nt": - import msvcrt - handle.seek(0, os.SEEK_END) - if handle.tell() == 0: - handle.write(b"\0") - handle.flush() - handle.seek(0) - msvcrt.locking(handle.fileno(), msvcrt.LK_LOCK, 1) - else: - import fcntl - fcntl.flock(handle.fileno(), fcntl.LOCK_EX) + _acquire_refresh_file_lock(handle, deadline) locked = True current = private_file_stat(lock_path) opened = os.fstat(handle.fileno()) - if (opened.st_dev, opened.st_ino) != (current.st_dev, current.st_ino): + if current is None or (opened.st_dev, opened.st_ino) != (current.st_dev, current.st_ino): raise UnsafeStateFile("cloud session refresh lock changed while locking") + _check_deadline(deadline) + except TimeoutError: + handle.close() + raise except (OSError, UnsafeStateFile) as exc: handle.close() raise CloudSessionError( @@ -814,7 +861,7 @@ def _refresh_http_error(status: int) -> CloudSessionError: def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], - token_subject: str) -> dict: + token_subject: str, *, deadline: Optional[float] = None) -> dict: # An org-scoped entitlement read asks for an unbound token, so it passes no workspace. # Serializing that as ``"workspace_id": null`` invites a 4xx from any control plane that # requires the field to be a string; omit the key instead of sending an empty value. @@ -832,12 +879,24 @@ def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], }, method="POST", ) + handlers: list[urllib.request.BaseHandler] = [_NoRedirect()] + if deadline is not None: + loopback_only = _is_loopback_host(urlsplit(control_url).hostname or "") + handlers.extend(deadline_handlers(deadline, loopback_only=loopback_only)) + if loopback_only: + handlers.append(urllib.request.ProxyHandler({})) + opener = build_pinned_https_opener(*handlers) if deadline is not None else None + # Exhaustion before opening the request cannot have spent this credential. + # Keep this outside the uncertain, possibly-post-send exception handlers. + timeout = 10.0 if deadline is None else remaining_time(deadline) # Split for the same reason as ``device_connect.post_connect``, and with sharper # consequences here. Once ``open`` returns, a success status line has been parsed, so # the control plane processed the refresh and the single-use credential it was given is # spent -- but the rotated replacement only reaches disk after the body parses, below. try: - response = build_pinned_https_opener(_NoRedirect()).open(request, timeout=10.0) + response = ( + opener if opener is not None else build_pinned_https_opener(*handlers) + ).open(request, timeout=timeout) except urllib.error.HTTPError as exc: code = exc.code # Draining and closing the error body can itself time out or reset. A sibling @@ -850,7 +909,10 @@ def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], # Exception, BaseException, object)`` -- neither an ``OSError`` nor a ``ValueError``, # so the pair alone let it through. try: - exc.read(_MAX_RESPONSE_BYTES + 1) + # A deadline-bound caller does not need the error body, so close it + # immediately rather than spend its remaining budget draining it. + if deadline is None: + exc.read(_MAX_RESPONSE_BYTES + 1) except _DRAIN_FAILURES: pass finally: @@ -859,9 +921,18 @@ def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], except _DRAIN_FAILURES: pass raise _refresh_http_error(code) - # urllib wraps failures before or while sending the request in URLError. That is the one - # distinguishable pre-send path, so the credential was not spent and retry remains safe. + # Preserve the ordinary refresh client's retry classification for URLError; + # a shared deadline adds a possibly interrupted-send case below. except urllib.error.URLError as exc: + if deadline is not None and time.monotonic() >= deadline: + # A deadline may interrupt a partially sent POST as well as a dial. + # Without a response we cannot prove the single-use token unspent. + raise CloudSessionError( + "Engraphis Cloud did not complete this refresh response, so the rotated " + "credential could not be saved. Connect this installation again.", + status=409, + refresh_unusable=True, + ) from exc raise CloudSessionError("Engraphis Cloud is temporarily unreachable.") from exc except (TimeoutError, http.client.RemoteDisconnected, OSError) as exc: # These escape directly from getresponse() after urllib wrote the POST. The control @@ -893,7 +964,10 @@ def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], try: with response: - raw = response.read(_MAX_RESPONSE_BYTES + 1) + raw = ( + response.read(_MAX_RESPONSE_BYTES + 1) if deadline is None + else read_response(response, deadline, max_bytes=_MAX_RESPONSE_BYTES) + ) except (OSError, ValueError, http.client.HTTPException) as exc: # Post-response, and therefore NOT a transient outage. The server answered, so the # credential just submitted is spent, but the rotation it returned never reached @@ -967,14 +1041,20 @@ def configured(*, require_compute: bool = True) -> bool: def access_for_workspace( - workspace_id: Optional[str], *, require_compute: bool = True + workspace_id: Optional[str], *, require_compute: bool = True, + deadline: Optional[float] = None, ) -> Tuple[str, str, str]: """Return ``(access_token, organization_id, compute_url)`` for a bound workspace. ``workspace_id`` may be ``None`` for an org-scoped read that deliberately wants an unbound token; the refresh body then omits the field rather than sending ``null``. + An optional monotonic ``deadline`` bounds both refresh locks and network phases. + Completed rotations are persisted even if time expires, before a timeout is raised. + OS filesystem/DNS calls cannot be preempted; their elapsed time is charged before + another phase starts. Callers omitting the deadline retain the existing behavior. """ + _check_deadline(deadline) raw_direct_token = os.environ.get("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "") direct_token = credential_text(raw_direct_token) direct_org = os.environ.get("ENGRAPHIS_CLOUD_ORGANIZATION_ID", "").strip() @@ -983,6 +1063,7 @@ def access_for_workspace( raise CloudSessionError("The cloud access credential is invalid.", status=409) if direct_token and direct_org and (direct_compute or not require_compute): compute_url = _reachable_cloud_base_url(direct_compute) if direct_compute else "" + _check_deadline(deadline) return direct_token, direct_org, compute_url # Do not create the owner-only state directory merely to report an unconnected @@ -993,6 +1074,7 @@ def access_for_workspace( # offer a trial even though retrying that credential would be a replay. The authoritative # session record is still loaded again under the lock below before any credential is used. preflight_saved = _load() + _check_deadline(deadline) if _selected_refresh_is_invalid(preflight_saved): raise CloudSessionError("The cloud refresh credential is invalid.", status=409) preflight_refresh = _selected_refresh(preflight_saved) @@ -1007,11 +1089,13 @@ def access_for_workspace( "Connect this installation to Engraphis Cloud first.", status=401 ) - with _refresh_lock(): + lock = _refresh_lock() if deadline is None else _refresh_lock(deadline=deadline) + with lock: # Load only after acquiring both locks. The saved rotation is the current # single-use credential; reading it before the lock lets two workers spend the # same value and causes one request to fail as a replay. saved = _load() + _check_deadline(deadline) if _selected_refresh_is_invalid(saved): raise CloudSessionError("The cloud refresh credential is invalid.", status=409) refresh = _selected_refresh(saved) @@ -1027,10 +1111,15 @@ def access_for_workspace( "Connect this installation to Engraphis Cloud first.", status=401 ) control = _reachable_cloud_base_url(control) + _check_deadline(deadline) compute = _reachable_cloud_base_url(compute) if compute else "" + _check_deadline(deadline) token_subject = _token_subject(saved) try: - body = _post_refresh(control, refresh, workspace_id, token_subject) + body = ( + _post_refresh(control, refresh, workspace_id, token_subject) if deadline is None + else _post_refresh(control, refresh, workspace_id, token_subject, deadline=deadline) + ) except CloudSessionError as exc: if exc.refresh_unusable: _mark_refresh_unusable(saved, refresh) @@ -1109,4 +1198,5 @@ def access_for_workspace( status=409, refresh_unusable=True, ) from exc + _check_deadline(deadline) return access, organization_id, compute diff --git a/engraphis/http_deadline.py b/engraphis/http_deadline.py new file mode 100644 index 00000000..91cff531 --- /dev/null +++ b/engraphis/http_deadline.py @@ -0,0 +1,183 @@ +"""Absolute HTTP deadlines for credential refresh and optional remote decisions. + +Pinned address and TLS validation stay in hosted_client. Blocking OS resolver and +filesystem calls cannot be interrupted here; callers recheck the deadline after +those operations and never begin a later network phase with an exhausted budget. +""" +from __future__ import annotations + +import time +from contextlib import contextmanager + + +def remaining_time(deadline: float) -> float: + remaining = deadline - time.monotonic() + if remaining <= 0: + raise TimeoutError("HTTP request deadline exceeded") + return remaining + + +@contextmanager +def socket_deadline(sock, deadline: float): + """Interrupt a blocking HTTP parser even when every receive makes progress.""" + import socket + import threading + + timer = None + if isinstance(sock, socket.socket): + # Even read1() can consume several reads while parsing chunk framing. + # Interrupt the socket at the deadline so slow chunk headers cannot keep + # a single read1() alive. Shutdown does not acquire the reader's lock. + def expire(): + try: + sock.shutdown(socket.SHUT_RDWR) + except OSError: + pass + + timer = threading.Timer(remaining_time(deadline), expire) + timer.daemon = True + timer.start() + try: + yield + finally: + if timer is not None: + timer.cancel() + + +def deadline_handlers(deadline: float, *, loopback_only: bool = False): + import http.client + import ipaddress + import socket + import urllib.request + from functools import partial + from engraphis.hosted_client import PinnedHTTPSConnection, PinnedHTTPSHandler + + def connect_socket(address, timeout=None, source_address=None, *, loopback_only=False): + # socket.create_connection renews its timeout for each resolved address. + # Share the request budget across direct, loopback and proxy dial retries. + remaining_time(deadline) + host, port = address + candidates = socket.getaddrinfo(host, port, 0, socket.SOCK_STREAM) + last_error = None + for family, kind, protocol, _, target in candidates: + remaining = remaining_time(deadline) + if loopback_only and not ipaddress.ip_address(target[0]).is_loopback: + raise ValueError("loopback requests must connect to loopback") + sock = None + try: + sock = socket.socket(family, kind, protocol) + sock.settimeout(remaining) + if source_address is not None: + sock.bind(source_address) + sock.connect(target) + # TLS must receive only the budget left after the TCP dial. + sock.settimeout(remaining_time(deadline)) + return sock + except OSError as exc: + if sock is not None: + sock.close() + last_error = exc + if last_error is not None: + raise last_error + raise OSError("HTTP endpoint has no connectable address") + + def send_with_deadline(connection, send, data): + if connection.sock is None: + if not connection.auto_open: + raise http.client.NotConnected() + connection.connect() + if connection.sock is None: + raise http.client.NotConnected() + connection.sock.settimeout(remaining_time(deadline)) + # Headers and bodies are separate sends; SSL/file sends may also loop. + with socket_deadline(connection.sock, deadline): + send(data) + remaining_time(deadline) + + class DeadlineResponse(http.client.HTTPResponse): + def __init__(self, sock, *args, **kwargs): + self._deadline_socket = sock + super().__init__(sock, *args, **kwargs) + + def begin(self): + # getresponse() parses status and headers before urllib.open() + # returns. Protect that phase before a response body is available. + with socket_deadline(self._deadline_socket, deadline): + super().begin() + remaining_time(deadline) + + class DeadlineHTTPConnection(http.client.HTTPConnection): + response_class = DeadlineResponse + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._create_connection = partial(connect_socket, loopback_only=True) + + def send(self, data): + send_with_deadline(self, super().send, data) + + class DeadlineHTTPSConnection(PinnedHTTPSConnection): + response_class = DeadlineResponse + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self._create_connection = partial(connect_socket, loopback_only=loopback_only) + + def _connect_deadline(self): + return deadline + + def _attempt_timeout(self, connect_deadline): + # The shared hosted client has a 500 ms floor; bounded requests do not. + return remaining_time(deadline) + + def send(self, data): + send_with_deadline(self, super().send, data) + + def _tunnel(self): + # CONNECT parses its response directly, bypassing response.begin(). + with socket_deadline(self.sock, deadline): + # typeshed omits this private standard-library method. + getattr(super(), "_tunnel")() + # TLS follows CONNECT and shares its remaining budget. + self.sock.settimeout(remaining_time(deadline)) + + class DeadlineHTTPHandler(urllib.request.HTTPHandler): + def http_open(self, req): + return self.do_open(DeadlineHTTPConnection, req) + + class DeadlineHTTPSHandler(PinnedHTTPSHandler): + # Run before the shared opener's ordinary pinned HTTPS handler. + handler_order = 499 + + def do_open(self, http_class, req, **kwargs): + return super().do_open(DeadlineHTTPSConnection, req, **kwargs) + + return DeadlineHTTPHandler(), DeadlineHTTPSHandler() + + +def read_response(response, deadline: float, *, max_bytes: int) -> bytes: + """Bound total body-read time, including a peer that continuously drips bytes.""" + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + with socket_deadline(sock, deadline): + return read_response_chunks(response, deadline, max_bytes=max_bytes) + + +def read_response_chunks(response, deadline: float, *, max_bytes: int) -> bytes: + data = bytearray() + while len(data) <= max_bytes: + remaining = remaining_time(deadline) + # urllib's HTTPResponse wraps SocketIO in a BufferedReader. Tighten the + # underlying socket deadline for each read rather than renewing the full + # timeout. fp is None after a length-delimited response reaches EOF. + sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) + if sock is not None: + sock.settimeout(remaining) + # read() tries to fill its entire buffer; read1() returns after a single + # buffered/socket read, letting the absolute deadline run between chunks. + chunk = response.read1(min(4096, max_bytes + 1 - len(data))) + remaining_time(deadline) + if not chunk: + break + data.extend(chunk) + return bytes(data) + diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 29e80aa9..32c69e59 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v91.json" -PUBLIC_OFFLINE_SHA = "392d88e07cd2160cd930e648d3fababcaf137ec510ff51aed0ab3fe34a500a02" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v92.json" +PUBLIC_OFFLINE_SHA = "776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e" @pytest.fixture(scope="module") diff --git a/tests/test_cloud_session_deadline.py b/tests/test_cloud_session_deadline.py new file mode 100644 index 00000000..1da7bcd1 --- /dev/null +++ b/tests/test_cloud_session_deadline.py @@ -0,0 +1,316 @@ +"""One managed-decision budget, including credential acquisition and rotation. + +All credentials and responses are synthetic; real sockets target loopback only. +""" +from __future__ import annotations + +import io +import json +import multiprocessing +import socket +import threading +import time +import urllib.error +from http.server import BaseHTTPRequestHandler, HTTPServer +from types import SimpleNamespace + +import pytest + +from engraphis import cloud_session, hosted_client +from engraphis.backends import jev_transport +from engraphis.backends.jev_decision import DecisionQuestion + + +def _hold_process_lock(state_dir, ready, release): + # Spawned processes must not discover any developer's private session. + import os + os.environ["ENGRAPHIS_STATE_DIR"] = state_dir + with cloud_session._refresh_lock(): + ready.set() + if not release.wait(15): + raise RuntimeError("synthetic lock test did not release its helper") + + +@pytest.fixture +def saved_session(monkeypatch, tmp_path): + monkeypatch.setenv("ENGRAPHIS_STATE_DIR", str(tmp_path)) + for name in ("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL"): + monkeypatch.delenv(name, raising=False) + monkeypatch.setattr(cloud_session, "validate_cloud_base_url", lambda value: value) + cloud_session._save({ + "schema": "engraphis-cloud-session/v1", + "control_url": "https://control.example.invalid", + "organization_id": "org_synthetic", + "refresh_credential": "synthetic-unspent", + "token_subject": "member", + }) + return tmp_path + + +def _evaluate(timeout=0.1): + return jev_transport.create_cloud_decision_client(timeout_s=timeout).evaluate( + "Synthetic local evidence.", [DecisionQuestion("q", "Is this supported?", "noul")], + model=jev_transport.MODEL, allow_remote=True, data_classification="public", + ) + + +def _no_network(*args, **kwargs): + pytest.fail("an expired or contended request reached the network") + + +def _rotation(): + return {"access_token": "synthetic-access", "refresh_credential": "synthetic-rotated", + "organization_id": "org_synthetic", "token_subject": "member"} + + +def _decision(): + return {"model": jev_transport.MODEL, "is_fallback": False, "decisions": {"q": { + "type": "noul", "probability": 0.9, "confidence": 0.8, + "confidence_source": "derived_decisiveness", + }}} + + +@pytest.mark.parametrize("lock_kind", ["thread", "process"]) +def test_managed_deadline_bounds_contended_locks_without_spending_refresh( + monkeypatch, saved_session, lock_kind, +): + original = cloud_session._load() + monkeypatch.setattr(cloud_session, "_post_refresh", _no_network) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + if lock_kind == "process": + context = multiprocessing.get_context("spawn") + ready, release = context.Event(), context.Event() + holder = context.Process(target=_hold_process_lock, + args=(str(saved_session), ready, release)) + else: + ready, release = threading.Event(), threading.Event() + + def hold(): + with cloud_session._refresh_lock(): + ready.set() + release.wait(15) + + holder = threading.Thread(target=hold, daemon=True) + holder.start() + try: + assert ready.wait(10), "helper did not acquire the actual lock" + started = time.monotonic() + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate() + assert time.monotonic() - started < 1.5 + assert cloud_session._load() == original + assert not cloud_session._refresh_is_unusable(original, "synthetic-unspent") + finally: + release.set() + holder.join(timeout=10) + if lock_kind == "process" and holder.is_alive(): + holder.terminate() + holder.join(timeout=5) + assert not holder.is_alive() + if lock_kind == "process": + assert holder.exitcode == 0 + # A cancelled waiter must leave both locks available to the next caller. + with cloud_session._refresh_lock(deadline=time.monotonic() + 1): + pass + + +def test_refresh_and_decision_receive_the_same_remaining_budget(monkeypatch, saved_session): + clock = [100.0] + monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + calls = [] + + def refresh(control, credential, workspace, subject, *, deadline): + calls.append(("refresh", deadline)) + clock[0] += 3 + return _rotation() + + def open_request(request, timeout): + calls.append(("decision", timeout)) + response = io.BytesIO(json.dumps(_decision()).encode()) + response.status = 200 + response.headers = {"Content-Type": "application/json"} + return response + + monkeypatch.setattr(cloud_session, "_post_refresh", refresh) + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", lambda value: value) + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=open_request)) + assert _evaluate(5).get_noul("q").probability == 0.9 + assert calls == [("refresh", 105.0), ("decision", 2.0)] + assert cloud_session._load()["refresh_credential"] == "synthetic-rotated" + + +@pytest.mark.parametrize("expiry_phase", ["refresh", "save"]) +def test_completed_rotation_is_saved_before_reporting_timeout( + monkeypatch, saved_session, expiry_phase, +): + clock = [100.0] + monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + save = cloud_session._save + + def refresh(*args, deadline): + if expiry_phase == "refresh": + clock[0] = deadline + return _rotation() + + def slow_save(value): + save(value) + if expiry_phase == "save": + clock[0] += 5 + + monkeypatch.setattr(cloud_session, "_post_refresh", refresh) + monkeypatch.setattr(cloud_session, "_save", slow_save) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated") + assert "refresh_unusable" not in saved + + +@pytest.mark.parametrize("expiry_phase", ["origin", "url_validation"]) +def test_exhausted_preflight_never_spends_refresh(monkeypatch, saved_session, expiry_phase): + clock = [100.0] + monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + original = cloud_session._load() + if expiry_phase == "origin": + lookup = cloud_session.credential_bound_control_url + + def delayed_origin(): + value = lookup() + clock[0] += 6 + return value + + monkeypatch.setattr(cloud_session, "credential_bound_control_url", delayed_origin) + else: + def delayed_validation(value): + clock[0] += 6 + return value + + monkeypatch.setattr(cloud_session, "validate_cloud_base_url", delayed_validation) + monkeypatch.setattr(cloud_session, "_post_refresh", _no_network) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + assert cloud_session._load() == original + + +def test_exhausted_refresh_budget_does_not_open_http_or_retire_credential(monkeypatch): + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=_no_network)) + with pytest.raises(TimeoutError): + cloud_session._post_refresh("https://control.example.invalid", "synthetic-unspent", + None, "member", deadline=time.monotonic() - 1) + + +def test_refresh_http_uses_remaining_budget_and_keeps_default_timeout(monkeypatch): + timeouts = [] + + def open_request(request, timeout): + timeouts.append(timeout) + return io.BytesIO(json.dumps(_rotation()).encode()) + + monkeypatch.setattr(time, "monotonic", lambda: 100.0) + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=open_request)) + assert cloud_session._post_refresh("https://control.example.invalid", "synthetic-unspent", + None, "member", deadline=100.75) == _rotation() + assert cloud_session._post_refresh("https://control.example.invalid", "synthetic-unspent", + None, "member") == _rotation() + assert timeouts == [0.75, 10.0] + + +def test_uncertain_refresh_timeout_retires_spent_credential_without_decision( + monkeypatch, saved_session, +): + clock = [100.0] + monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + + def open_request(request, timeout): + clock[0] += timeout + raise urllib.error.URLError(TimeoutError("synthetic send interrupted")) + + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=open_request)) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + saved = cloud_session._load() + assert cloud_session._refresh_is_unusable(saved, "synthetic-unspent") + monkeypatch.setattr(cloud_session, "_post_refresh", _no_network) + assert not cloud_session.configured(require_compute=False) + with pytest.raises(cloud_session.CloudSessionError): + cloud_session.access_for_workspace(None, require_compute=False) + + +@pytest.mark.parametrize("phase", ["complete", "headers", "chunk_framing"]) +def test_real_loopback_refresh_shares_deadline_and_never_uses_proxy( + monkeypatch, saved_session, phase, +): + requests = [] + stopped = threading.Event() + + class Handler(BaseHTTPRequestHandler): + def do_POST(self): + requests.append((self.path, json.loads(self.rfile.read( + int(self.headers["Content-Length"]), + )))) + try: + if self.path == "/v1/tokens/refresh" and phase != "complete": + prefix = (b"HTTP/1.1 200 OK\r\nX-Slow: " if phase == "headers" else + b"HTTP/1.1 200 OK\r\nTransfer-Encoding: chunked\r\n\r\n") + self.wfile.write(prefix) + self.wfile.flush() + # More bytes arrive continuously, but no header/chunk finishes. + while not stopped.wait(0.01): + self.wfile.write(b"0") + self.wfile.flush() + return + value = _rotation() if self.path == "/v1/tokens/refresh" else _decision() + raw = json.dumps(value).encode() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(raw))) + self.end_headers() + self.wfile.write(raw) + except OSError: + pass + + def log_message(self, *args): + pass + + server = HTTPServer(("127.0.0.1", 0), Handler) + thread = threading.Thread(target=server.serve_forever, kwargs={"poll_interval": 0.01}, daemon=True) + thread.start() + def resolve(host, port, *args, **kwargs): + assert host == "127.0.0.1", "test attempted non-loopback resolution" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, port))] + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + saved = cloud_session._load() + saved["control_url"] = "http://127.0.0.1:%s" % server.server_port + cloud_session._save(saved) + for name in ("HTTP_PROXY", "http_proxy", "HTTPS_PROXY", "https_proxy", "ALL_PROXY"): + monkeypatch.setenv(name, "http://proxy.invalid:8080") + for name in ("NO_PROXY", "no_proxy"): + monkeypatch.setenv(name, "") + try: + started = time.monotonic() + if phase == "complete": + assert _evaluate(2).get_noul("q").probability == 0.9 + assert [entry[0] for entry in requests] == ["/v1/tokens/refresh", "/v1/jev/decide"] + assert cloud_session._load()["refresh_credential"] == "synthetic-rotated" + else: + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(0.15) + assert time.monotonic() - started < 1.5 + assert [entry[0] for entry in requests] == ["/v1/tokens/refresh"] + assert cloud_session._refresh_is_unusable(cloud_session._load(), "synthetic-unspent") + assert requests[0][1]["refresh_credential"] == "synthetic-unspent" + finally: + stopped.set() + server.shutdown() + server.server_close() + thread.join(timeout=2) + assert not thread.is_alive() diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index ee1bd21d..a15b462d 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v91.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v92.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_transport.py b/tests/test_jev_transport.py index 4d5a4bea..e28a7e2c 100644 --- a/tests/test_jev_transport.py +++ b/tests/test_jev_transport.py @@ -56,7 +56,9 @@ def test_constructor_and_configuration_are_network_free_and_managed_refresh_is_b assert client.is_configured and managed == [] batch = client.evaluate("A synthetic statement", [_question()], model=transport.MODEL, allow_remote=True, purpose="verify_support", data_classification="public") - assert managed[0] == ("refresh", None, {"require_compute": False}) + assert managed[0][:2] == ("refresh", None) + assert managed[0][2]["require_compute"] is False + assert 0 < managed[0][2]["deadline"] - transport.time.monotonic() <= client.timeout_s _, request, timeout = managed[-1] assert request.full_url == "https://control.example.invalid/v1/jev/decide" assert request.get_header("Authorization") == "Bearer synthetic-access-token" @@ -283,10 +285,11 @@ def resolve(host, port, *args, **kwargs): assert host == "127.0.0.1", "test attempted non-loopback resolution" return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", (host, port))] - def refresh(control_url, credential, workspace_id, token_subject): + def refresh(control_url, credential, workspace_id, token_subject, *, deadline): assert (control_url, credential, workspace_id, token_subject) == ( control, "synthetic-refresh", None, "member", ) + assert 0 < deadline - transport.time.monotonic() <= 2 return {"access_token": "synthetic-access", "refresh_credential": "synthetic-rotated", "organization_id": "org_synthetic"} From ef19f706a8e4451c7809793ff96e7890f31e5e2e Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 05:52:09 -0400 Subject: [PATCH 20/64] Finalize clean source and immutable evidence for the combined core PR --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v93.json | 694 ++++++++++++++++++ .../offline-fixtures-v93.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/http_deadline.py | 1 - tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_init.py | 1 - tests/test_mcp_server.py | 1 - 11 files changed, 709 insertions(+), 17 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v93.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v93.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 384069fa..73f9fc93 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v92.json`](docs/benchmark-evidence/offline-fixtures-v92.json) artifact. Its +[`offline-fixtures-v93.json`](docs/benchmark-evidence/offline-fixtures-v93.json) artifact. Its SHA-256 is -`776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e`, also recorded in the +`16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`ceb7dc7c012be65fb99d09482439a86879951c54f085ec60ff546e873d88ebfc`. The artifact defines +`745d3334815491cecc0cf6f97250064cf69466b8e424b006f5c7970a2d447cae`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v92.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v93.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v92.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v93.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 85755ad8..8a5bc71f 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v92.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v92.json), +[`offline-fixtures-v93.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v93.json), SHA-256 -`776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e`. +`16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v93.json b/docs/benchmark-evidence/offline-fixtures-v93.json new file mode 100644 index 00000000..e714a808 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v93.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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+ "eval/extractor_quality.py": "50820fe7f821d111e17e4e77a3d1159e7d6979d110b052c4f254a5b309c2652a", + "eval/fts_insert_scaling.py": "6088997e0f85d430fafb74509e24a960fbd59c06c8b2839285942b97d2116724", + "eval/graph_every_bench.py": "79da573c5edf315f71bfab412d3ea283b8da45d1fdabc78ddd19302ead09e4f0", + "eval/graph_traversal.py": "b094f75c3a1d75ba3cf19e372187d692d3c595a1d9bde19bbe95ae0c79a5175f", + "eval/grounded.py": "053d5193b716a2c3e507fcd44057d392de910a4442b46bd7cc1f30ac0ba68541", + "eval/handoff_quality.py": "7daf635510764e236f48ca7e2537a85d8ebc1ad995513144329c1f0236405937", + "eval/harness.py": "8c96c26a121dfc2d9ea051a05861af8951c93a732dba9cb13de0de178414b016", + "eval/hosted_evidence.py": "7946cd8c1e3aa291268271b2aa11210d5f09c9b05ba635aa0b64bef07bdcee45", + "eval/hosted_ledger.py": "a53036d12ff671371c148910a816fb20c7e7f3346250a303722352f47b06c476", + "eval/hosted_luna.py": "4dbf02a65eec38bcde92d82952a0b372abbac1f68378d11a04528f4a31a835dc", + "eval/local_benchmark_queue.py": "43fa67b4d653e770822da816511e8e62b3714e60d2edd49ea2a4c5c3d8d20851", + "eval/local_capacity_campaign.py": "ab4935263f9d24c4e38bd4f16164b4c4c07eff91c695809b6fc75299d4f03d62", + "eval/longmemeval_v2.py": "defb4d47f453aa4615a8f101b82df3fadf64f0f9eae0ce1021d86d3750dad437", + "eval/longmemeval_v2_evidence.py": "8486bd4dcfdd8b1f7a14c32fe4f427c980ccdcc3aa2eb018d7dfc40305412eff", + "eval/longmemeval_v2_matrix.py": "ca085cd59481813cce5dbdfbc94f40f67173ac3a1bc3dce6f6d3e09eb7b08153", + "eval/metrics.py": "16857e2cf6ed339cb57a26c9bfa1879444b4d279bd972e5a9fa644ed1308afe0", + "eval/native_coverage_scaling.py": "0d318c116241050fc0c7bdbbb5646ca67944d7c304ccd9a462834e0553ffa90a", + "eval/performance.py": "dccc55c26dc396f9fee98defd152900cf8aabeb5d6198bc711e0eb8f472ecc57", + "eval/performance_engine.py": "3d37cf0a5989c8fa6e8b6ab7ae0b2e0d5410a8b922d2f3130c1a7794d93dcbb1", + "eval/planned_recall.py": "f9a87291ecb181045b98ca65fe55db820bf7cee4ae4f4d087ca3458afdd7837e", + "eval/proactive_ranking.py": "8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab", + "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717", + "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751", + "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v93.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v93.json.sha256 new file mode 100644 index 00000000..0953c771 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v93.json.sha256 @@ -0,0 +1 @@ +16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151 offline-fixtures-v93.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 036f27f3..d0d1f732 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -776201ff3f76 +16bc33b5748a SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 2402ee9a..7c4c82ee 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e + SHA256 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151 diff --git a/engraphis/http_deadline.py b/engraphis/http_deadline.py index 91cff531..3902617b 100644 --- a/engraphis/http_deadline.py +++ b/engraphis/http_deadline.py @@ -180,4 +180,3 @@ def read_response_chunks(response, deadline: float, *, max_bytes: int) -> bytes: break data.extend(chunk) return bytes(data) - diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 32c69e59..24c94e74 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v92.json" -PUBLIC_OFFLINE_SHA = "776201ff3f768671a5bf42ed2e46771f6bb0da64ebf0167ed155ffb56748fc3e" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v93.json" +PUBLIC_OFFLINE_SHA = "16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index a15b462d..c269d3e9 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v92.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v93.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_init.py b/tests/test_init.py index b1bdb5a9..d775aa2c 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -464,4 +464,3 @@ def test_doctor_reports_jev_decision_status(tmp_path, monkeypatch, capsys): jev_check_conf = next(c for c in report_conf["checks"] if c["code"] == "jev_decision") assert jev_check_conf["status"] == "ok" assert "configured (TypeSafe AI BYOK); not verified" in jev_check_conf["detail"] - diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 190824bc..0ef94fa9 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -1827,4 +1827,3 @@ def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): ) exec_res = json.loads(exec_raw) assert exec_res["result"]["allow_auto"] is False - From 7bba56844f7714b7319901dd8b41487981cf673a Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 06:00:03 -0400 Subject: [PATCH 21/64] Run CodeQL security gates for stacked Codex pull requests --- .github/workflows/codeql.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml index 1f24c614..08621cc9 100644 --- a/.github/workflows/codeql.yml +++ b/.github/workflows/codeql.yml @@ -4,7 +4,8 @@ on: push: branches: [main] pull_request: - branches: [main] + # Stacked PRs must receive the same security gate before reaching main. + branches: [main, "codex/**"] schedule: - cron: "23 4 * * 1" From 7cce7e487696e05325fc5d5b9ee24a8b0710a99f Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 06:24:04 -0400 Subject: [PATCH 22/64] Require member policy for remote Jev decisions --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v94.json | 694 ++++++++++++++++++ .../offline-fixtures-v94.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/mcp_server.py | 4 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_mcp_jev_consent.py | 100 +++ tests/test_mcp_server.py | 6 +- tests/test_smart_mcp_gateway.py | 1 + 12 files changed, 817 insertions(+), 17 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v94.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v94.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 73f9fc93..0383d5e6 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v93.json`](docs/benchmark-evidence/offline-fixtures-v93.json) artifact. Its +[`offline-fixtures-v94.json`](docs/benchmark-evidence/offline-fixtures-v94.json) artifact. Its SHA-256 is -`16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151`, also recorded in the +`64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`745d3334815491cecc0cf6f97250064cf69466b8e424b006f5c7970a2d447cae`. The artifact defines +`ab9a2fa9e8b524d4ad6dcc6fbcfd1c9262f9132e86cac84d98b0291abf752fc7`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v93.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v94.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v93.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v94.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 8a5bc71f..1a5729fd 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v93.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v93.json), +[`offline-fixtures-v94.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v94.json), SHA-256 -`16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151`. +`64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v94.json b/docs/benchmark-evidence/offline-fixtures-v94.json new file mode 100644 index 00000000..f6cfb0db --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v94.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": 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"fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v94.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v94.json.sha256 new file mode 100644 index 00000000..db0a9046 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v94.json.sha256 @@ -0,0 +1 @@ +64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4 offline-fixtures-v94.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index d0d1f732..d5ec222c 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -16bc33b5748a +64ce47e6f4d0 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 7c4c82ee..f5d240e1 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151 + SHA256 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4 diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index f98a4259..66aac364 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -426,7 +426,6 @@ def remove_trailing_record(records: list, key: str) -> bool: "engraphis_export_receipts", "engraphis_stats", "engraphis_check_update", - "engraphis_decide", }) _ADMIN_TOOLS = frozenset({ "engraphis_consolidate", @@ -449,7 +448,8 @@ def minimum_role(tool_name: str) -> str: dynamic role, discovered reads stay viewer-accessible while the generic stateful executor fails closed to admin. Local stdio has no role boundary and retains the owner's full capability; routine remote member writes remain available through the - dedicated session and remember tools. + dedicated session and remember tools. Optional remote decisions may consume account + allowance, so their direct tool uses the default member requirement too. """ if tool_name in _SMART_GATEWAY_ROLES: return _SMART_GATEWAY_ROLES[tool_name] diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 24c94e74..ad10c37a 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v93.json" -PUBLIC_OFFLINE_SHA = "16bc33b5748a0f62b57517a39036be592a45bb0a4c6c1c2ef0c0f10b051a9151" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v94.json" +PUBLIC_OFFLINE_SHA = "64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index c269d3e9..0dfa9236 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v93.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v94.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_mcp_jev_consent.py b/tests/test_mcp_jev_consent.py index 2f1d0e02..121bcdc4 100644 --- a/tests/test_mcp_jev_consent.py +++ b/tests/test_mcp_jev_consent.py @@ -1,4 +1,5 @@ """MCP decisions preserve consent, uncertainty, fallback, and private error boundaries.""" +import asyncio import json from types import SimpleNamespace @@ -22,6 +23,105 @@ def forbidden(*args, **kw): assert result["advisory_only"] is True +def test_smart_read_refuses_remote_decision_before_backend_lookup(monkeypatch): + def forbidden(*args, **kwargs): + pytest.fail("a Smart read must not inspect credentials or consume decision allowance") + + monkeypatch.setattr(transport, "select_decision_client", forbidden) + action = server._action_payload(server.ACTION_SPECS["decide"]) + rejected = server.engraphis_execute_read( + capability_id=action["capability_id"], schema_digest=action["schema_digest"], + arguments={"kind": "custom", "state": "Synthetic", "allow_remote": True}, + ) + assert rejected.isError is True + assert "action_requires_execute_action" in rejected.content[0].text + + +def test_classic_dispatch_retains_local_owner_access_and_requires_call_consent(monkeypatch): + batch = transport.CloudDecisionBatch(False, {}, { + "custom": transport.SimpleSupportDecision(probability=0.9, confidence=0.8), + }) + calls = _client(monkeypatch, batch) + arguments = {"kind": "custom", "state": "Synthetic", "data_classification": "public"} + # The same registered dispatch serves stdio. Its local owner has no hosted + # viewer/member identity, and default consent must still suppress remote work. + local = asyncio.run(server.classic_mcp.call_tool("engraphis_decide", arguments)) + local_content = local[0] if isinstance(local, tuple) else local + assert json.loads(local_content[0].text)["fallback_reason"] == "remote_not_authorized" + assert calls == [] + approved = asyncio.run(server.classic_mcp.call_tool( + "engraphis_decide", {**arguments, "allow_remote": True}, + )) + approved_content = approved[0] if isinstance(approved, tuple) else approved + assert json.loads(approved_content[0].text)["is_fallback"] is False + assert len(calls) == 1 + + +def test_local_http_smart_dispatch_auth_and_consent_precede_remote_work(monkeypatch, tmp_path): + """Exercise the real single-principal HTTP mount, without inventing Team roles.""" + pytest.importorskip("fastapi") + pytest.importorskip("httpx") + from fastapi.testclient import TestClient + from engraphis.config import settings + from engraphis.dashboard_app import create_app + + monkeypatch.setattr(settings, "db_path", str(tmp_path / "local-mcp.db")) + monkeypatch.setattr(settings, "embed_model", "") + monkeypatch.setattr(settings, "api_token", "synthetic-local-deployment-token") + monkeypatch.setattr(server, "_service", None) + monkeypatch.setattr(server.mcp.settings, "json_response", True) + batch = transport.CloudDecisionBatch(False, {}, { + "custom": transport.SimpleSupportDecision(probability=0.9, confidence=0.8), + }) + calls = _client(monkeypatch, batch) + select_client = transport.select_decision_client + lookups = [] + + def inspected(): + lookups.append(True) + return select_client() + + monkeypatch.setattr(transport, "select_decision_client", inspected) + headers = {"Authorization": "Bearer synthetic-local-deployment-token", + "Accept": "application/json, text/event-stream"} + with TestClient(create_app(), base_url="http://127.0.0.1:8700", + client=("127.0.0.1", 50000)) as client: + def rpc(name, arguments, *, authenticated=True): + return client.post("/mcp/", json={ + "jsonrpc": "2.0", "id": 1, "method": "tools/call", + "params": {"name": name, "arguments": arguments}, + }, headers=headers if authenticated else {"Accept": headers["Accept"]}) + + discovered = rpc("engraphis_discover_actions", {"task": "guard command safety"}) + assert discovered.status_code == 200 + payload = json.loads(discovered.json()["result"]["content"][0]["text"]) + action = next(item for item in payload["actions"] if item["canonical_action"] == "decide") + arguments = {"capability_id": action["capability_id"], + "schema_digest": action["schema_digest"], + "arguments": {"kind": "custom", "state": "Synthetic", + "allow_remote": True, "data_classification": "public"}} + + unauthenticated = rpc("engraphis_execute_action", arguments, authenticated=False) + assert unauthenticated.status_code == 401 + read = rpc("engraphis_execute_read", arguments) + assert read.status_code == 200 and read.json()["result"]["isError"] is True + assert "action_requires_execute_action" in read.text + assert lookups == calls == [] + + local_arguments = {**arguments, "arguments": dict(arguments["arguments"])} + local_arguments["arguments"].pop("allow_remote") + local = rpc("engraphis_execute_action", local_arguments) + assert local.status_code == 200 + assert "remote_not_authorized" in local.text + assert lookups == calls == [] + + approved = rpc("engraphis_execute_action", arguments) + assert approved.status_code == 200 and not approved.json()["result"].get("isError") + result = json.loads(approved.json()["result"]["content"][0]["text"]) + assert result["result"]["is_fallback"] is False + assert lookups == [True] and len(calls) == 1 + + def _client(monkeypatch, batch=None, error=None): calls = [] def evaluate(state, questions, **kwargs): diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py index 0ef94fa9..f1589088 100644 --- a/tests/test_mcp_server.py +++ b/tests/test_mcp_server.py @@ -1768,7 +1768,11 @@ def test_mcp_decide_tool_registration_and_offline_guardrails(monkeypatch): # 1. Registration assert "engraphis_decide" in classic_mcp._tool_manager._tools - assert minimum_role("engraphis_decide") == "viewer" + assert minimum_role("engraphis_decide") == "member" + annotations = classic_mcp._tool_manager._tools["engraphis_decide"].annotations + assert annotations.readOnlyHint is False + assert annotations.idempotentHint is False + assert annotations.openWorldHint is True # 2. Discovery assert "decide" in ACTION_SPECS diff --git a/tests/test_smart_mcp_gateway.py b/tests/test_smart_mcp_gateway.py index 31ec4a84..b7c31f8b 100644 --- a/tests/test_smart_mcp_gateway.py +++ b/tests/test_smart_mcp_gateway.py @@ -401,6 +401,7 @@ def test_gateway_context_usage_counts_authoritative_receipt_once(monkeypatch): ("engraphis_discover_actions", "viewer"), ("engraphis_execute_read", "viewer"), ("engraphis_execute_action", "admin"), + ("engraphis_decide", "member"), ("engraphis_remember", "member"), ("engraphis_consolidate", "admin"), ]) From 46bfce3d6f93f8f073609ecd3a3f07d65f691750 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 06:47:37 -0400 Subject: [PATCH 23/64] Validate Jev decision inputs through actual transport contracts --- BENCHMARKS.md | 10 +- README.md | 4 +- docs/MCP_CONTRACT.json | 8 +- .../offline-fixtures-v95.json | 694 ++++++++++++++++++ .../offline-fixtures-v95.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/mcp_server.py | 25 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_mcp_jev_payloads.py | 270 +++++++ 11 files changed, 1004 insertions(+), 22 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v95.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v95.json.sha256 create mode 100644 tests/test_mcp_jev_payloads.py diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 0383d5e6..9f2ab353 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v94.json`](docs/benchmark-evidence/offline-fixtures-v94.json) artifact. Its +[`offline-fixtures-v95.json`](docs/benchmark-evidence/offline-fixtures-v95.json) artifact. Its SHA-256 is -`64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4`, also recorded in the +`f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`ab9a2fa9e8b524d4ad6dcc6fbcfd1c9262f9132e86cac84d98b0291abf752fc7`. The artifact defines +`8c7dda6a62e1aaf1f034ab1711a360b08545a64667a1c8684ba4a8606c3cc5fd`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v94.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v95.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v94.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v95.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 1a5729fd..aa65903a 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v94.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v94.json), +[`offline-fixtures-v95.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v95.json), SHA-256 -`64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4`. +`f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/MCP_CONTRACT.json b/docs/MCP_CONTRACT.json index 239ec927..e3bc568c 100644 --- a/docs/MCP_CONTRACT.json +++ b/docs/MCP_CONTRACT.json @@ -1,6 +1,6 @@ { "schema": "engraphis-mcp-contract/v1", - "sha256": "a880c8ca2612724ed4432a13488fed90023b3f2019c6c71f18c6259058eca77c", + "sha256": "a8788edc08967e96c789348445018423cd12f1deecddbd2dafbc5389c5a18791", "surfaces": { "classic": [ { @@ -763,8 +763,8 @@ }, "question": { "default": "", - "description": "Custom prompt or question to answer (used for 'custom').", - "maxLength": 4096, + "description": "Custom prompt or question to answer (used for 'custom'). Also supplies state when state is blank.", + "maxLength": 1024, "title": "Question", "type": "string" }, @@ -777,7 +777,7 @@ }, "state": { "default": "", - "description": "Input state, shell command, or evidence text to evaluate.", + "description": "Input state, shell command, or evidence text to evaluate. For remote processing, the combined state, labels, and kind-specific context must fit within 16,000 characters.", "maxLength": 16000, "title": "State", "type": "string" diff --git a/docs/benchmark-evidence/offline-fixtures-v95.json b/docs/benchmark-evidence/offline-fixtures-v95.json new file mode 100644 index 00000000..e9845461 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v95.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "8c7dda6a62e1aaf1f034ab1711a360b08545a64667a1c8684ba4a8606c3cc5fd", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + 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Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -64ce47e6f4d0 +f57aa5182240 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index f5d240e1..a5760dad 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4 + SHA256 f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162 diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index 66aac364..69289e44 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -2346,7 +2346,11 @@ def engraphis_decide( str, Field( default="", - description="Input state, shell command, or evidence text to evaluate.", + description=( + "Input state, shell command, or evidence text to evaluate. For remote " + "processing, the combined state, labels, and kind-specific context " + "must fit within 16,000 characters." + ), max_length=16_000, ), ] = "", @@ -2386,8 +2390,11 @@ def engraphis_decide( str, Field( default="", - description="Custom prompt or question to answer (used for 'custom').", - max_length=4096, + description=( + "Custom prompt or question to answer (used for 'custom'). Also supplies " + "state when state is blank." + ), + max_length=1024, ), ] = "", options: Annotated[ @@ -2434,6 +2441,15 @@ def fallback(reason: str) -> str: return fallback("offline" if offline_mode else "remote_not_authorized") if kind not in {"guard_command", "classify_contradiction", "verify_support", "verify_completion", "custom"}: return fallback("invalid_request") + relevant_inputs = { + "guard_command": (state,), + "classify_contradiction": (state, existing_content), + "verify_support": (state, query), + "verify_completion": (state, goal, recent_actions), + "custom": (state, question), + } + if not any(value.strip() for value in relevant_inputs[kind]): + return fallback("invalid_request") try: client, backend_name = select_decision_client() if client is None: @@ -2457,7 +2473,8 @@ def fallback(reason: str) -> str: full_state = f"GOAL: {goal}\nACTIONS: {recent_actions}\nOUTPUT: {state}" questions = [DecisionQuestion("is_complete", "Does the supplied evidence establish the task goal?", "noul")] else: - questions = [DecisionQuestion("custom", question or "Evaluate state", + full_state = state if state.strip() else question + questions = [DecisionQuestion("custom", question if question.strip() else "Evaluate state", "choice" if options else "noul", tuple(options or ()))] batch = client.evaluate(full_state, questions, model=model, allow_remote=True, purpose=kind, data_classification=data_classification) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index ad10c37a..99a68fef 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v94.json" -PUBLIC_OFFLINE_SHA = "64ce47e6f4d081a3f3464b2ca61f7c1eca16cea34b41c80c7486b854b921d8b4" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v95.json" +PUBLIC_OFFLINE_SHA = "f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 0dfa9236..54c7ff89 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v94.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v95.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_mcp_jev_payloads.py b/tests/test_mcp_jev_payloads.py new file mode 100644 index 00000000..82de27e0 --- /dev/null +++ b/tests/test_mcp_jev_payloads.py @@ -0,0 +1,270 @@ +"""Registered MCP decisions reach the real managed/BYOK validation boundary. + +Only credential acquisition and HTTP are synthetic; client evaluation and wire +validation remain real. No provider request or private session discovery occurs. +""" +import asyncio +import json + +import pytest + +pytest.importorskip("mcp") + +from engraphis import cloud_session, mcp_server +from engraphis.backends import jev_transport +from engraphis.service import MemoryService + + +@pytest.fixture(params=["managed", "byok"]) +def wire_client(request, monkeypatch): + backend = request.param + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", backend) + monkeypatch.setenv("ENGRAPHIS_DECISION_MODEL", jev_transport.MODEL) + monkeypatch.setenv("TYPESAFE_API_KEY", "synthetic-personal-key") + monkeypatch.setenv("TYPESAFE_BASE_URL", "https://api.typesafe.ai") + monkeypatch.setattr(cloud_session, "configured", lambda **kwargs: True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.invalid") + calls = {"backend": backend, "refresh": [], "http": []} + + def access(workspace, **kwargs): + calls["refresh"].append((workspace, kwargs)) + return "synthetic-access", "org_synthetic", "" + + def post(url, token, payload, timeout_s, **kwargs): + normalized = backend == "managed" + assert url == ("https://control.example.invalid/v1/jev/decide" if normalized + else "https://api.typesafe.ai/v1/systemone") + assert token == ("synthetic-access" if normalized else "synthetic-personal-key") + calls["http"].append(payload) + questions = ([(item["id"], item) for item in payload["questions"]] if normalized + else list(payload["questions"].items())) + answers = {} + for name, question in questions: + kind = question["type"] + if kind == "choice": + options = question["options"] if normalized else list(question["criteria"]) + answer = {"type": "choice", "confidence": 0.9, + "probabilities": {item: float(index == 0) + for index, item in enumerate(options)}, + "selected" if normalized else "choice": options[0]} + if normalized: + answer["confidence_source"] = "provider" + else: + assert kind == "noul" + answer = {"type": "noul", "probability" if normalized else "noul": 0.9} + if normalized: + answer.update(confidence=0.8, confidence_source="derived_decisiveness") + answers[name] = answer + return {"model": jev_transport.MODEL, "is_fallback": False, + "decisions" if normalized else "answers": answers} + + monkeypatch.setattr(cloud_session, "access_for_workspace", access) + monkeypatch.setattr(jev_transport, "_post_json", post) + service = MemoryService.create(":memory:") + monkeypatch.setattr(mcp_server, "_service", service) + try: + yield calls + finally: + service.store.close() + + +@pytest.fixture(params=["classic", "smart"]) +def dispatch(request): + def call(arguments, *, raw=False): + if request.param == "classic": + target = mcp_server.classic_mcp + tool_name = "engraphis_decide" + tool_arguments = arguments + else: + target = mcp_server.smart_mcp + action = mcp_server._action_payload(mcp_server.ACTION_SPECS["decide"]) + tool_name = "engraphis_execute_action" + tool_arguments = {"capability_id": action["capability_id"], + "schema_digest": action["schema_digest"], + "arguments": arguments} + response = asyncio.run(target.call_tool(tool_name, tool_arguments)) + if raw: + return response + content = response[0] if isinstance(response, tuple) else response + payload = json.loads(content[0].text) + return payload["result"] if request.param == "smart" else payload + + call.surface = request.param + return call + + +@pytest.mark.parametrize("options", [None, ["yes", "no"]], ids=["noul", "choice"]) +@pytest.mark.parametrize("state_args", [ + {}, {"state": ""}, {"state": " \n\t"}, {"state": " Explicit synthetic evidence. "}, +], ids=["omitted", "empty", "whitespace", "explicit"]) +def test_custom_question_only_uses_real_client_validation( + wire_client, dispatch, options, state_args, +): + question = "Does the synthetic fixture contain evidence?" + arguments = {"kind": "custom", "question": question, "allow_remote": True, + "data_classification": "public", **state_args} + if options is not None: + arguments["options"] = options + result = dispatch(arguments) + assert result["is_fallback"] is False + assert result["decision_status"] == "decision" + assert len(wire_client["http"]) == 1 + payload = wire_client["http"][0] + state = state_args.get("state", "") + assert payload["state"] == (state if state.strip() else question) + if wire_client["backend"] == "managed": + assert len(wire_client["refresh"]) == 1 + expected = {"id": "custom", "prompt": question, "type": "choice" if options else "noul"} + if options: + expected["options"] = options + assert payload["questions"] == [expected] + assert payload["purpose"] == "custom" + else: + assert wire_client["refresh"] == [] + expected = {"type": "choice" if options else "noul", "instructions": question} + if options: + expected["criteria"] = {item: item for item in options} + assert payload["questions"] == {"custom": expected} + if options: + assert result["selected"] == "yes" + else: + assert result["probability"] == 0.9 + + +@pytest.mark.parametrize("consent,reason", [ + ({}, "remote_not_authorized"), + ({"allow_remote": False}, "remote_not_authorized"), + ({"allow_remote": True, "offline_mode": True}, "offline"), +]) +def test_question_only_still_requires_consent_before_backend_selection( + monkeypatch, wire_client, dispatch, consent, reason, +): + def forbidden(*args, **kwargs): + pytest.fail("question-only input bypassed remote consent") + + monkeypatch.setattr(jev_transport, "select_decision_client", forbidden) + result = dispatch({"kind": "custom", "question": "Synthetic question?", **consent}) + assert result["is_fallback"] is True and result["fallback_reason"] == reason + assert wire_client["http"] == wire_client["refresh"] == [] + + +@pytest.mark.parametrize("arguments,reason", [ + ({}, "invalid_request"), + ({"state": " \n", "question": " \t"}, "invalid_request"), + ({"question": "sk-" + "s" * 24}, "sensitive_content"), + ({"state": "Synthetic evidence", "question": "sk-" + "s" * 24}, "sensitive_content"), + ({"question": "Choose a synthetic option", "options": ["safe", "sk-" + "s" * 24]}, + "sensitive_content"), +]) +def test_invalid_or_sensitive_custom_input_cannot_refresh_or_send( + wire_client, dispatch, arguments, reason, +): + result = dispatch({"kind": "custom", "allow_remote": True, **arguments}) + assert result["is_fallback"] is True and result["fallback_reason"] == reason + assert wire_client["http"] == wire_client["refresh"] == [] + + +@pytest.mark.parametrize("question_args", [{}, {"question": ""}, {"question": " \n\t"}], + ids=["omitted", "empty", "whitespace"]) +@pytest.mark.parametrize("options", [None, ["yes", "no"]], ids=["noul", "choice"]) +def test_blank_optional_question_uses_default_with_meaningful_state( + wire_client, dispatch, question_args, options, +): + arguments = {"kind": "custom", "state": " Keep this evidence unchanged. ", + "allow_remote": True, **question_args} + if options: + arguments["options"] = options + result = dispatch(arguments) + assert result["is_fallback"] is False + assert len(wire_client["http"]) == 1 + payload = wire_client["http"][0] + assert payload["state"] == arguments["state"] + prompt = (payload["questions"][0]["prompt"] if wire_client["backend"] == "managed" + else payload["questions"]["custom"]["instructions"]) + assert prompt == "Evaluate state" + + +@pytest.mark.parametrize("kind", [ + "guard_command", "classify_contradiction", "verify_support", "verify_completion", "custom", +]) +@pytest.mark.parametrize("blank", ["", " \n\t"]) +def test_all_blank_semantic_input_is_rejected_before_backend_selection( + monkeypatch, wire_client, dispatch, kind, blank, +): + def forbidden(*args, **kwargs): + pytest.fail("blank semantic input must not inspect backend credentials") + + monkeypatch.setattr(jev_transport, "select_decision_client", forbidden) + result = dispatch({"kind": kind, "allow_remote": True, **{ + field: blank for field in ("state", "question", "query", "existing_content", + "goal", "recent_actions") + }}) + assert result["is_fallback"] is True and result["fallback_reason"] == "invalid_request" + assert wire_client["http"] == wire_client["refresh"] == [] + + +@pytest.mark.parametrize("length", [1024, 1025]) +def test_custom_question_schema_matches_real_client_limit( + monkeypatch, wire_client, dispatch, length, +): + from mcp.server.fastmcp.exceptions import ToolError + + arguments = {"kind": "custom", "question": "q" * length, "allow_remote": True} + if length == 1024: + result = dispatch(arguments) + assert result["is_fallback"] is False + assert len(wire_client["http"]) == 1 + assert wire_client["http"][0]["state"] == arguments["question"] + return + + def forbidden(*args, **kwargs): + pytest.fail("schema-invalid question must not inspect backend credentials") + + monkeypatch.setattr(jev_transport, "select_decision_client", forbidden) + if dispatch.surface == "classic": + with pytest.raises(ToolError, match="1024"): + dispatch(arguments) + else: + response = dispatch(arguments, raw=True) + content = response.content if hasattr(response, "content") else response + error = json.loads(content[0].text)["error"] + assert error["code"] == "E_VALIDATION" and error["message"] == "invalid_arguments" + assert wire_client["http"] == wire_client["refresh"] == [] + + +def test_combined_context_limit_rejects_without_truncation_or_network(wire_client, dispatch): + result = dispatch({"kind": "verify_support", "state": "x" * 16000, + "query": "Synthetic query", "allow_remote": True}) + assert result["is_fallback"] is True and result["fallback_reason"] == "invalid_request" + assert wire_client["http"] == wire_client["refresh"] == [] + + +@pytest.mark.parametrize("arguments,expected_state,expected_questions", [ + ({"kind": "guard_command", "state": "git status"}, "git status", {"is_safe", "category"}), + ({"kind": "classify_contradiction", "state": "Now use SQLite", "existing_content": "Use CSV"}, + "EXISTING FACT: Use CSV\nNEW CANDIDATE FACT: Now use SQLite", {"verdict"}), + ({"kind": "verify_support", "state": "SQLite is used", "query": "Which database?"}, + "QUERY: Which database?\nEVIDENCE: SQLite is used", {"has_support"}), + ({"kind": "verify_completion", "state": "Completed", "goal": "Run the fixture", + "recent_actions": "Fixture passed"}, + "GOAL: Run the fixture\nACTIONS: Fixture passed\nOUTPUT: Completed", {"is_complete"}), + ({"kind": "classify_contradiction", "existing_content": "Use SQLite"}, + "EXISTING FACT: Use SQLite\nNEW CANDIDATE FACT: ", {"verdict"}), + ({"kind": "verify_support", "query": "Which database?"}, + "QUERY: Which database?\nEVIDENCE: ", {"has_support"}), + ({"kind": "verify_completion", "goal": "Run the fixture"}, + "GOAL: Run the fixture\nACTIONS: \nOUTPUT: ", {"is_complete"}), +]) +def test_other_kind_mappings_reach_real_client_validation( + wire_client, dispatch, arguments, expected_state, expected_questions, +): + result = dispatch({"allow_remote": True, **arguments}) + assert result["is_fallback"] is False + assert len(wire_client["http"]) == 1 + payload = wire_client["http"][0] + assert payload["state"] == expected_state + questions = payload["questions"] + actual = ({item["id"] for item in questions} if wire_client["backend"] == "managed" + else set(questions)) + assert actual == expected_questions From 595a395a9ca254e69d7497380ba9b9be55524c93 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 07:08:49 -0400 Subject: [PATCH 24/64] Reject conventional credential assignments before Jev requests --- BENCHMARKS.md | 10 +- README.md | 4 +- .../offline-fixtures-v96.json | 694 ++++++++++++++++++ .../offline-fixtures-v96.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_transport.py | 12 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_secret_assignments.py | 139 ++++ tests/test_mcp_jev_payloads.py | 23 + 11 files changed, 881 insertions(+), 16 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v96.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v96.json.sha256 create mode 100644 tests/test_jev_secret_assignments.py diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 9f2ab353..286879dc 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v95.json`](docs/benchmark-evidence/offline-fixtures-v95.json) artifact. Its +[`offline-fixtures-v96.json`](docs/benchmark-evidence/offline-fixtures-v96.json) artifact. Its SHA-256 is -`f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162`, also recorded in the +`88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`8c7dda6a62e1aaf1f034ab1711a360b08545a64667a1c8684ba4a8606c3cc5fd`. The artifact defines +`16e5c4c74bd1cff7522ed15686fa0855b407d6ab5845a326c9a37df0ca7068cd`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v95.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v96.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v95.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v96.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index aa65903a..822e7f35 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v95.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v95.json), +[`offline-fixtures-v96.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v96.json), SHA-256 -`f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162`. +`88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v96.json b/docs/benchmark-evidence/offline-fixtures-v96.json new file mode 100644 index 00000000..40e0e84d --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v96.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab", + "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717", + "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751", + "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v96.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v96.json.sha256 new file mode 100644 index 00000000..9e23a794 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v96.json.sha256 @@ -0,0 +1 @@ +88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd offline-fixtures-v96.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 3aa72451..96bc3682 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -f57aa5182240 +88155905635f SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index a5760dad..5fd85e91 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162 + SHA256 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py index 5f27d098..217964cf 100644 --- a/engraphis/backends/jev_transport.py +++ b/engraphis/backends/jev_transport.py @@ -36,8 +36,16 @@ r"xox[baprs]-[A-Za-z0-9-]{16,}|AKIA[A-Z0-9]{16}|" r"engr_(?:rt|dev)_[A-Za-z0-9_-]{16,})\b"), re.compile(r"\bBearer\s+[A-Za-z0-9._~-]{12,}", re.IGNORECASE), - re.compile(r"(?i)\b(?:api[_ -]?key|password|secret|access[_ -]?token)\b" - r"[\"']?\s*[:=]\s*[\"']?[A-Za-z0-9/+_.~-]{8,}"), + # Recognize conventional credential assignments in raw text, including + # prefixed identifiers, JSON, shell and environment-index forms. This is a + # best-effort boundary, not proof that arbitrary prose contains no secrets. + re.compile(r"(?i)\b[a-z0-9_]*(?:api[_ -]?key|password|passwd|" + r"secret(?:[_ -]?(?:access[_ -]?key|key))?|private[_ -]?key|" + r"token|auth(?:orization)?|bearer)\b" + r"[\"']?\s*(?:[\]}]\s*)?(?:=(?!=)|:)\s*" + r"(?:\"(?:\\[^\r\n]|[^\"\\\r\n])+\"" + r"|'(?:\\[^\r\n]|[^'\\\r\n])+'" + r"|[^\s\"'`;,\[\]{}=]+)"), re.compile(r"\beyJ[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\b"), ) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 99a68fef..55dd73ed 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v95.json" -PUBLIC_OFFLINE_SHA = "f57aa5182240e6327f7966c8f1f3ccae86c27dfd1941b8496f5ac7210b595162" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v96.json" +PUBLIC_OFFLINE_SHA = "88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 54c7ff89..c66cf90c 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v95.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v96.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_secret_assignments.py b/tests/test_jev_secret_assignments.py new file mode 100644 index 00000000..8fa0c103 --- /dev/null +++ b/tests/test_jev_secret_assignments.py @@ -0,0 +1,139 @@ +"""Synthetic credential assignments never reach refresh or either Jev transport.""" +import json +import time + +import pytest + +from engraphis import cloud_session +from engraphis.backends import jev_transport as transport +from engraphis.backends.jev_decision import DecisionQuestion + + +@pytest.fixture(params=["managed", "byok"]) +def blocked_remote_client(request, monkeypatch): + calls = [] + + def forbidden(*args, **kwargs): + calls.append(True) + pytest.fail("sensitive text crossed the local validation boundary") + + monkeypatch.setattr(cloud_session, "credential_bound_control_url", forbidden) + monkeypatch.setattr(cloud_session, "access_for_workspace", forbidden) + monkeypatch.setattr(transport, "_post_json", forbidden) + client = (transport.EngraphisCloudDecisionClient() if request.param == "managed" else + transport.TypeSafeDecisionClient(api_key="synthetic-only", + base_url="https://api.typesafe.ai")) + return client, calls + + +def _assert_blocked(blocked_remote_client, caplog, state, questions): + client, calls = blocked_remote_client + with pytest.raises(transport.DecisionClientError) as caught: + client.evaluate(state, questions, model=transport.MODEL, allow_remote=True) + assert str(caught.value) == caught.value.code == "sensitive_content" + assert calls == [] + assert caplog.text == "" + + +@pytest.mark.parametrize("name", [ + "API_KEY", "OPENAI_API_KEY", "AWS_ACCESS_TOKEN", "DB_PASSWORD", "DB_PASSWD", + "PASSWORD", "PASSWD", "SECRET", "SECRET_KEY", "SECRET_ACCESS_KEY", + "AWS_SECRET_ACCESS_KEY", "CLIENT_SECRET", "PRIVATE_KEY", "SERVICE_PRIVATE_KEY", + "TOKEN", "AUTH_TOKEN", "AUTHORIZATION_TOKEN", "SESSION_TOKEN", "AWS_SESSION_TOKEN", + "REFRESH_TOKEN", "ID_TOKEN", "API_TOKEN", "AUTH", "AUTHORIZATION", "BEARER", + "X-API-Key", "serviceApiKey", "databasePassword", "serviceSecretKey", "serviceToken", +]) +def test_conventional_and_prefixed_credential_names_are_blocked( + blocked_remote_client, caplog, name, +): + _assert_blocked(blocked_remote_client, caplog, f"{name}=fixture", + [DecisionQuestion("q", "Evaluate the synthetic state", "noul")]) + + +@pytest.mark.parametrize("value", [ + "OPENAI_API_KEY=abcdefgh12345678", + "export OPENAI_API_KEY=abcdefgh12345678", + "DB_PASSWORD=x", + "PASSWORD=abcdefg", + 'DB_PASSWORD="P@ssw0rd!"', + 'PASSWORD="Ab!2$xy"', + "DB_PASSWORD=P@ssw0rd!", + 'PASSWORD="two synthetic words"', + 'PASSWORD=" "', + "$env:DB_PASSWORD = 'two synthetic words'", + "${env:DB_PASSWORD} = 'P@ssw0rd!'", + 'set "DB_PASSWORD=abcdefg"', + 'os.environ["OPENAI_API_KEY"] = "synthetic"', + "process.env['DB_PASSWORD'] = 'P@ssw0rd!'", + json.dumps({"DB_PASSWORD": "P@ssw0rd!"}), + json.dumps({"password": 'P@ss"w0rd!'}), + json.dumps({"password": "two synthetic words"}), + 'DB_PASSWORD="synthetic\\\\path"', + "Authorization: Basic c3ludGhldGljOm9ubHk=", + "curl -H 'Authorization: Basic c3ludGhldGljOm9ubHk=' https://example.invalid", + json.dumps({"Authorization": "opaque-synthetic-value"}), + "PASSWORD=removed", + "PASSWORD=withheld", + "PASSWORD=", +]) +def test_assignment_forms_and_nonempty_literal_values_are_blocked( + blocked_remote_client, caplog, value, +): + _assert_blocked(blocked_remote_client, caplog, value, + [DecisionQuestion("q", "Evaluate the synthetic state", "noul")]) + + +@pytest.mark.parametrize("field", ["state", "prompt", "choice", "score", "id"]) +def test_every_outbound_raw_text_leaf_is_scanned(blocked_remote_client, caplog, field): + # Scanning an outer json.dumps(value) would obscure the quoted key and miss + # this raw embedded JSON. IDs use their valid restricted identifier syntax. + private = json.dumps({"DB_PASSWORD": 'synthetic" phrase'}) + state = private if field == "state" else "Synthetic state" + prompt = private if field == "prompt" else "Evaluate the synthetic state" + kind = field if field in {"choice", "score"} else "noul" + options = ("safe", private) if kind != "noul" else () + question_id = "ghp_" + "x" * 36 if field == "id" else "q" + _assert_blocked(blocked_remote_client, caplog, state, + [DecisionQuestion(question_id, prompt, kind, options)]) + + +@pytest.mark.parametrize("state", [ + "Keep API_KEY and DB_PASSWORD on the local device.", + "The password is omitted and the token remains private.", + "A secret key authenticates the request.", + "DB_PASSWORD_LENGTH=12; API_KEY_COUNT=2; TOKEN_COUNT=100", + "authorization_enabled=true; tokenization=enabled; author=synthetic", + "DB_PASSWORD == expected_value", + "DB_PASSWORD=", "DB_PASSWORD = ", 'DB_PASSWORD=""', "DB_PASSWORD = ''", + json.dumps({"DB_PASSWORD": ""}), + "OPENAI_API_KEY=" + "\n", +]) +def test_benign_prose_and_empty_assignments_remain_valid(state): + payload = transport._request_payload( + state, [DecisionQuestion("q", "Evaluate the synthetic state", "noul")], + transport.MODEL, allow_remote=True, purpose="custom", data_classification="public", + ) + assert payload["state"] == state + + +def test_long_benign_identifier_with_credential_words_is_bounded(): + state = ("long_identifier_" * 800) + "PASSWORD_LENGTH=12" + assert len(state) < 16000 + payload = transport._request_payload( + state, [DecisionQuestion("q", "Evaluate the synthetic state", "noul")], + transport.MODEL, allow_remote=True, purpose="custom", data_classification="public", + ) + assert payload["state"] == state + + +def test_whitespace_after_credential_name_does_not_backtrack_quadratically(): + state = "PASSWORD" + " " * 15880 + "is omitted" + started = time.process_time() + payload = transport._request_payload( + state, [DecisionQuestion("q", "Evaluate the synthetic state", "noul")], + transport.MODEL, allow_remote=True, purpose="custom", data_classification="public", + ) + # CPU time avoids scheduler pauses; the ambiguous two-whitespace matcher + # consumed about a CPU second for this valid-size, non-assignment input. + assert time.process_time() - started < 0.25 + assert payload["state"] == state diff --git a/tests/test_mcp_jev_payloads.py b/tests/test_mcp_jev_payloads.py index 82de27e0..c062f67c 100644 --- a/tests/test_mcp_jev_payloads.py +++ b/tests/test_mcp_jev_payloads.py @@ -268,3 +268,26 @@ def test_other_kind_mappings_reach_real_client_validation( actual = ({item["id"] for item in questions} if wire_client["backend"] == "managed" else set(questions)) assert actual == expected_questions + + +@pytest.mark.parametrize("kind,field", [ + ("guard_command", "state"), + ("classify_contradiction", "existing_content"), + ("verify_support", "query"), + ("verify_completion", "goal"), + ("verify_completion", "recent_actions"), + ("custom", "question"), + ("custom", "options"), +]) +def test_sensitive_raw_mcp_fields_never_refresh_or_send( + wire_client, dispatch, caplog, kind, field, +): + private = json.dumps({"DB_PASSWORD": 'synthetic" phrase'}) + arguments = {"kind": kind, "state": "Synthetic evidence", "allow_remote": True, + field: ["safe", private] if field == "options" else private} + result = dispatch(arguments) + assert result["is_fallback"] is True + assert result["fallback_reason"] == "sensitive_content" + assert wire_client["http"] == wire_client["refresh"] == [] + assert "DB_PASSWORD" not in json.dumps(result) + caplog.text + assert "synthetic" not in json.dumps(result) + caplog.text From f4dd95a167358a6fda5bada5b34f31fff521562d Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 07:27:58 -0400 Subject: [PATCH 25/64] Normalize managed Jev bootstrap origins and clarify secure setup --- .env.example | 5 +- BENCHMARKS.md | 10 +- README.md | 4 +- SECURITY.md | 9 +- .../offline-fixtures-v97.json | 694 ++++++++++++++++++ .../offline-fixtures-v97.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_transport.py | 7 + tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_jev_origin_binding.py | 207 ++++++ 12 files changed, 933 insertions(+), 18 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v97.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v97.json.sha256 create mode 100644 tests/test_jev_origin_binding.py diff --git a/.env.example b/.env.example index 7732e178..4b3a7dd0 100644 --- a/.env.example +++ b/.env.example @@ -141,8 +141,11 @@ ENGRAPHIS_RETENTION_SUPERVISOR=none # ── System 1 Decision Gating (TypeSafe AI Jev) ─────────────────────────── # Advisory typed decisions for command screening and evidence assessment. # Default none/local sends no requests; each remote call needs allow_remote=true. -# Install key easily: engraphis-init --jev-key (or pipe via stdin: echo $KEY | engraphis-init --jev-key -) # Pro & Team include a managed allowance when enabled by the service (no personal key needed). +# For BYOK, enter the key at a hidden prompt and pipe it directly to the CLI: +# python -c "import getpass,warnings; warnings.simplefilter('error',getpass.GetPassWarning); print(getpass.getpass('TypeSafe API key: '))" | engraphis-init --jev-key - +# The key stays out of shell history and process arguments. If hidden input is +# unavailable, the prompt fails instead of accepting visible input. # Community/BYOK users can set their own TypeSafe API key: # TYPESAFE_API_KEY= # JEV_API_KEY= diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 286879dc..54436b23 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v96.json`](docs/benchmark-evidence/offline-fixtures-v96.json) artifact. Its +[`offline-fixtures-v97.json`](docs/benchmark-evidence/offline-fixtures-v97.json) artifact. Its SHA-256 is -`88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd`, also recorded in the +`a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`16e5c4c74bd1cff7522ed15686fa0855b407d6ab5845a326c9a37df0ca7068cd`. The artifact defines +`ece6df64dd65a875d5f44e018f9ec0a0c1fdefeea877b7844447ff3b62923720`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v96.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v97.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v96.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v97.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/README.md b/README.md index 822e7f35..4ef01bda 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v96.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v96.json), +[`offline-fixtures-v97.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v97.json), SHA-256 -`88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd`. +`a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/SECURITY.md b/SECURITY.md index 76e989f1..b758e514 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -156,9 +156,12 @@ them back as `expected_head` / `expected_count` when independent evidence is req and tombstone checkpoints. Previously observed rollback is rejected, but first contact remains unanchored/incomplete until the hosted service supplies an authenticated workspace manifest: a local client cannot prove that an untrusted relay did not withhold an unseen device. -- **Trial and grace are separate:** an email-confirmed trial lasts exactly 3 active days. A - separately bounded, maximum-24-hour local workspace-write grace never extends the trial, - subscription, Cloud Sync, managed compute, Team access, seats, or credentials. +- **Trial and grace are separate:** new email-confirmed trials last 7 active days for Pro + and 14 active days for Team. Existing grants retain their recorded deadlines until explicitly + extended. Only eligible, currently active trials can be extended, with the total duration + measured from the original verified start; expired trials are never restarted. A separately + bounded, maximum-24-hour local workspace-write grace never extends the trial, subscription, + Cloud Sync, managed compute, Team access, seats, or credentials. - **Remote URL validation:** hosted endpoints require HTTPS except explicit loopback use, reject embedded credentials and redirects, require globally routable resolved addresses, and pin credential-bearing TLS connections to a vetted address while verifying the diff --git a/docs/benchmark-evidence/offline-fixtures-v97.json b/docs/benchmark-evidence/offline-fixtures-v97.json new file mode 100644 index 00000000..f1f8cb02 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v97.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": 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-Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -88155905635f +a0a58233df44 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 5fd85e91..30aa91c2 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd + SHA256 a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9 diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py index 217964cf..b54f12c0 100644 --- a/engraphis/backends/jev_transport.py +++ b/engraphis/backends/jev_transport.py @@ -322,15 +322,22 @@ def evaluate(self, state: str, questions: Sequence[DecisionQuestion], *, model: payload = _request_payload(state, questions, model, allow_remote=allow_remote, purpose=purpose, data_classification=data_classification) from engraphis import cloud_session + from engraphis.hosted_client import validate_cloud_base_url try: before = cloud_session.credential_bound_control_url() _remaining_time(deadline) + # The first refresh persists this validated form. Compare the same + # full base URL before and after bootstrap, including its path/port. + before = validate_cloud_base_url(before) + _remaining_time(deadline) token, _organization, _compute = cloud_session.access_for_workspace( None, require_compute=False, deadline=deadline, ) _remaining_time(deadline) control = cloud_session.credential_bound_control_url() _remaining_time(deadline) + control = validate_cloud_base_url(control) + _remaining_time(deadline) if not before or control != before: raise DecisionClientError("session_changed") body = _post_json(control.rstrip("/") + "/v1/jev/decide", token, payload, diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 55dd73ed..61da53e1 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v96.json" -PUBLIC_OFFLINE_SHA = "88155905635f063a8846455af49eb02445dd89cf7704b20ba3ee49429b8831dd" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v97.json" +PUBLIC_OFFLINE_SHA = "a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index c66cf90c..e98171ce 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v96.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v97.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_jev_origin_binding.py b/tests/test_jev_origin_binding.py new file mode 100644 index 00000000..a62ba106 --- /dev/null +++ b/tests/test_jev_origin_binding.py @@ -0,0 +1,207 @@ +"""Managed origin comparisons use real validation, bootstrap and saved rotations. + +Credentials, DNS and HTTP responses are synthetic; private session discovery and +provider requests never occur. The session vault and URL validator remain real. +""" +import socket + +import pytest + +from engraphis import cloud_session, hosted_client +from engraphis.backends import jev_transport as transport +from engraphis.backends.jev_decision import DecisionQuestion + + +@pytest.fixture +def bootstrap(monkeypatch, tmp_path): + monkeypatch.setenv("ENGRAPHIS_STATE_DIR", str(tmp_path / "synthetic-session")) + for name in ("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "ENGRAPHIS_CLOUD_COMPUTE_URL", + "ENGRAPHIS_CLOUD_ORGANIZATION_ID"): + monkeypatch.delenv(name, raising=False) + monkeypatch.setenv("ENGRAPHIS_CLOUD_TOKEN_SUBJECT", "member") + monkeypatch.setattr(socket, "getaddrinfo", lambda host, port, *args, **kwargs: [ + (socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", port or 0)), + ]) + + def configure(raw_control, expected_control, *, source="environment"): + monkeypatch.setenv("ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL", "synthetic-bootstrap") + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", raw_control) + if source == "saved": + cloud_session._save({ + "schema": "engraphis-cloud-session/v1", "control_url": raw_control, + "refresh_credential": "synthetic-bootstrap", + "organization_id": "org_synthetic", "token_subject": "member", + }) + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", "https://unused.example.invalid") + calls = {"refresh": [], "decision": []} + + def refresh(control, credential, workspace, subject, *, deadline): + index = len(calls["refresh"]) + 1 + expected_credential = ("synthetic-bootstrap" if index == 1 else + f"synthetic-rotated-{index - 1}") + assert (control, credential, workspace, subject) == ( + expected_control, expected_credential, None, "member", + ) + assert deadline > transport.time.monotonic() + calls["refresh"].append((control, credential)) + return {"access_token": f"synthetic-access-{index}", + "refresh_credential": f"synthetic-rotated-{index}", + "organization_id": "org_synthetic", "token_subject": "member"} + + def post(url, token, payload, timeout_s, *, deadline): + assert url == expected_control + "/v1/jev/decide" + assert token == f"synthetic-access-{len(calls['refresh'])}" + assert deadline > transport.time.monotonic() + calls["decision"].append(url) + return {"model": transport.MODEL, "is_fallback": False, "decisions": {"q": { + "type": "noul", "probability": 0.9, "confidence": 0.8, + "confidence_source": "derived_decisiveness", + }}} + + monkeypatch.setattr(cloud_session, "_post_refresh", refresh) + monkeypatch.setattr(transport, "_post_json", post) + return transport.create_cloud_decision_client(timeout_s=5), calls + + return configure + + +def _evaluate(client): + return client.evaluate("Synthetic evidence", [DecisionQuestion("q", "Assess", "noul")], + model=transport.MODEL, allow_remote=True) + + +@pytest.mark.parametrize("source", ["environment", "saved"]) +@pytest.mark.parametrize("raw,canonical", [ + ("https://api.engraphis.com/", "https://api.engraphis.com"), + ("HTTPS://api.engraphis.com/", "https://api.engraphis.com"), + (" https://api.engraphis.com/// ", "https://api.engraphis.com"), + ("https://API.ENGRAPHIS.COM:443/control///", "https://API.ENGRAPHIS.COM:443/control"), + ("http://127.0.0.1:8765/control/", "http://127.0.0.1:8765/control"), +]) +def test_first_managed_decision_uses_canonical_bootstrap_and_reuses_rotation( + bootstrap, monkeypatch, source, raw, canonical, +): + client, calls = bootstrap(raw, canonical, source=source) + assert client.is_configured + assert _evaluate(client).get_noul("q").probability == 0.9 + saved = cloud_session._load() + assert saved["control_url"] == canonical + assert saved["refresh_credential"] == "synthetic-rotated-1" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated-1") + + # Persisted family binding wins over an environment endpoint replacement. + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", "https://unused.example.invalid") + assert _evaluate(client).get_noul("q").probability == 0.9 + assert calls["refresh"] == [(canonical, "synthetic-bootstrap"), + (canonical, "synthetic-rotated-1")] + assert calls["decision"] == [canonical + "/v1/jev/decide"] * 2 + assert cloud_session._load()["refresh_credential"] == "synthetic-rotated-2" + + +@pytest.mark.parametrize("changed", [ + "https://other.example.invalid/control", "https://api.engraphis.com:444/control", + "https://api.engraphis.com/other", +]) +def test_changed_host_port_or_base_path_blocks_decision_after_persisting_rotation( + bootstrap, monkeypatch, caplog, changed, +): + client, calls = bootstrap("https://api.engraphis.com/control/", + "https://api.engraphis.com/control") + real_access = cloud_session.access_for_workspace + + def access(*args, **kwargs): + result = real_access(*args, **kwargs) + updated = cloud_session._load() + updated["control_url"] = changed + cloud_session._save(updated) + return result + + monkeypatch.setattr(cloud_session, "access_for_workspace", access) + with pytest.raises(transport.DecisionClientError) as caught: + _evaluate(client) + assert str(caught.value) == "session_changed" + assert len(calls["refresh"]) == 1 and calls["decision"] == [] + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated-1" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated-1") + assert caplog.text == "" + + +@pytest.mark.parametrize("raw", [ + "http://api.engraphis.com/", "https://api.engraphis.com/control?query=private", + "https://synthetic:private@api.engraphis.com/", +]) +def test_invalid_origin_does_not_spend_bootstrap_or_echo_its_value(bootstrap, caplog, raw): + client, calls = bootstrap(raw, "") + with pytest.raises(transport.DecisionClientError) as caught: + _evaluate(client) + assert str(caught.value) == "remote_unavailable" + assert calls == {"refresh": [], "decision": []} + assert cloud_session._load() == {} + assert caplog.text == "" + + +@pytest.mark.parametrize("phase", ["before", "after"]) +def test_canonical_origin_validation_still_consumes_the_shared_deadline( + bootstrap, monkeypatch, phase, +): + client, calls = bootstrap("https://api.engraphis.com/", "https://api.engraphis.com") + clock = [100.0] + monkeypatch.setattr(transport.time, "monotonic", lambda: clock[0]) + real_validate = hosted_client.validate_cloud_base_url + validations = [] + + def validate(value): + result = real_validate(value) + validations.append(value) + if len(validations) == (1 if phase == "before" else 2): + clock[0] += 6 + return result + + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", validate) + with pytest.raises(transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(client) + assert calls["decision"] == [] + if phase == "before": + assert calls["refresh"] == [] and cloud_session._load() == {} + else: + assert len(calls["refresh"]) == 1 + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated-1" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated-1") + + +@pytest.mark.parametrize("phase", ["before", "after"]) +def test_expired_origin_read_never_begins_another_validation_phase( + bootstrap, monkeypatch, phase, +): + client, calls = bootstrap("https://api.engraphis.com/", "https://api.engraphis.com") + clock = [100.0] + monkeypatch.setattr(transport.time, "monotonic", lambda: clock[0]) + real_origin = cloud_session.credential_bound_control_url + real_validate = hosted_client.validate_cloud_base_url + origins, validations = [], [] + + def origin(): + result = real_origin() + origins.append(result) + if len(origins) == (1 if phase == "before" else 2): + clock[0] += 6 + return result + + def validate(value): + assert clock[0] < 105, "expired filesystem read reached DNS validation" + validations.append(value) + return real_validate(value) + + monkeypatch.setattr(cloud_session, "credential_bound_control_url", origin) + monkeypatch.setattr(hosted_client, "validate_cloud_base_url", validate) + with pytest.raises(transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(client) + assert calls["decision"] == [] + assert len(validations) == (0 if phase == "before" else 1) + assert len(calls["refresh"]) == (0 if phase == "before" else 1) + if phase == "after": + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated-1" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated-1") From 1b3c297c0538455cb291346c8217ad2bb7e83fd7 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 07:56:32 -0400 Subject: [PATCH 26/64] fix(release): remove unsupported concurrency queue key and recheck Latest before promotion --- .github/workflows/release.yml | 19 ++++++++++++++++--- CHANGELOG.md | 2 +- tests/test_release_qualification.py | 3 +-- 3 files changed, 18 insertions(+), 6 deletions(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index de2d3af5..97aab6e6 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -896,7 +896,6 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false - queue: max needs: publish environment: release-qualification if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') @@ -962,7 +961,6 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false - queue: max environment: release-qualification if: >- github.event_name == 'workflow_dispatch' && @@ -1285,7 +1283,22 @@ jobs: --repo "$GH_REPO" \ --clobber if [ "$WAIVE_QUALIFICATION" = "true" ] && [ "$promote_latest" = "true" ]; then - gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest + current_latest="$(gh release view --repo "$GH_REPO" --json tagName --jq .tagName)" + promote_latest="$(python - "$RELEASE_TAG" "$current_latest" <<'PY' + import re + import sys + + def version(tag): + if re.fullmatch(r"v(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)", tag) is None: + raise SystemExit("Latest release comparison requires stable version tags") + return tuple(map(int, tag[1:].split("."))) + + print("true" if version(sys.argv[1]) >= version(sys.argv[2]) else "false") + PY + )" + if [ "$promote_latest" = "true" ]; then + gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest + fi fi else gh release create "$RELEASE_TAG" verified-dist/* release-evidence/* \ diff --git a/CHANGELOG.md b/CHANGELOG.md index 7409e72c..6e5a23ab 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,7 +14,7 @@ All notable changes to Engraphis are documented here. Format loosely follows proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication queue to serialize GitHub release writes. + release, with a shared publication lock to serialize GitHub release writes. - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index 7224fab1..58d62b79 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -334,7 +334,7 @@ def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, assert result.stdout.strip() == expected -def test_github_release_writers_share_publication_queue(): +def test_github_release_writers_share_publication_lock(): yaml = pytest.importorskip("yaml") root = Path(__file__).resolve().parents[1] workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) @@ -346,7 +346,6 @@ def test_github_release_writers_share_publication_queue(): for job in writers.values(): assert job["concurrency"] == { "group": "engraphis-github-release-publication", "cancel-in-progress": False, - "queue": "max", } From f985ff3119ed69b29bcb7e30b3d7ca2829bba619 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 07:57:15 -0400 Subject: [PATCH 27/64] fix(jev): remove control-only setup and validation blockers --- .github/workflows/release.yml | 19 +- BENCHMARKS.md | 10 +- CHANGELOG.md | 9 +- README.md | 4 +- .../offline-fixtures-v98.json | 694 ++++++++++++++++++ .../offline-fixtures-v98.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/cloud_session.py | 12 +- engraphis/config.py | 12 +- engraphis/mcp_server.py | 6 +- scripts/init.py | 38 +- tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_init.py | 77 +- tests/test_jev_origin_binding.py | 53 ++ tests/test_llm_config.py | 18 + tests/test_mcp_jev_consent.py | 33 + tests/test_release_qualification.py | 3 +- 19 files changed, 962 insertions(+), 41 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v98.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v98.json.sha256 diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index de2d3af5..97aab6e6 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -896,7 +896,6 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false - queue: max needs: publish environment: release-qualification if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') @@ -962,7 +961,6 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false - queue: max environment: release-qualification if: >- github.event_name == 'workflow_dispatch' && @@ -1285,7 +1283,22 @@ jobs: --repo "$GH_REPO" \ --clobber if [ "$WAIVE_QUALIFICATION" = "true" ] && [ "$promote_latest" = "true" ]; then - gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest + current_latest="$(gh release view --repo "$GH_REPO" --json tagName --jq .tagName)" + promote_latest="$(python - "$RELEASE_TAG" "$current_latest" <<'PY' + import re + import sys + + def version(tag): + if re.fullmatch(r"v(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)", tag) is None: + raise SystemExit("Latest release comparison requires stable version tags") + return tuple(map(int, tag[1:].split("."))) + + print("true" if version(sys.argv[1]) >= version(sys.argv[2]) else "false") + PY + )" + if [ "$promote_latest" = "true" ]; then + gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest + fi fi else gh release create "$RELEASE_TAG" verified-dist/* release-evidence/* \ diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 54436b23..6e304aa0 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v97.json`](docs/benchmark-evidence/offline-fixtures-v97.json) artifact. Its +[`offline-fixtures-v98.json`](docs/benchmark-evidence/offline-fixtures-v98.json) artifact. Its SHA-256 is -`a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9`, also recorded in the +`32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`ece6df64dd65a875d5f44e018f9ec0a0c1fdefeea877b7844447ff3b62923720`. The artifact defines +`15195ce5073d27ebed813a3700b0774020b577fa904cbd5ccbcda56898c3f178`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v97.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v98.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v97.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v98.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index 2421d603..14faf9a5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,13 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Kept managed Jev available when an unrelated compute endpoint cannot resolve, + while retaining destination validation for requests that use compute. +- Bounded Jev key input and serialized configuration before publication, preserving + existing setup on rejection. Invalid decision kinds now defer without a fabricated + selection in direct, Classic, and Smart calls. +- Refreshed the public offline fixtures and source bindings in immutable v98 evidence. + - Added saved project-to-workspace routing and connection instructions so agents can use the user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized session or repo mapping, report the resolved destination, and reject session mismatches. @@ -22,7 +29,7 @@ All notable changes to Engraphis are documented here. Format loosely follows proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication queue to serialize GitHub release writes. + release, with a shared publication lock to serialize GitHub release writes. - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. diff --git a/README.md b/README.md index 4ef01bda..1f6c06f5 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v97.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v97.json), +[`offline-fixtures-v98.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v98.json), SHA-256 -`a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9`. +`32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v98.json b/docs/benchmark-evidence/offline-fixtures-v98.json new file mode 100644 index 00000000..7d191b25 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v98.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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+ "eval/extractor_quality.py": "50820fe7f821d111e17e4e77a3d1159e7d6979d110b052c4f254a5b309c2652a", + "eval/fts_insert_scaling.py": "6088997e0f85d430fafb74509e24a960fbd59c06c8b2839285942b97d2116724", + "eval/graph_every_bench.py": "79da573c5edf315f71bfab412d3ea283b8da45d1fdabc78ddd19302ead09e4f0", + "eval/graph_traversal.py": "b094f75c3a1d75ba3cf19e372187d692d3c595a1d9bde19bbe95ae0c79a5175f", + "eval/grounded.py": "053d5193b716a2c3e507fcd44057d392de910a4442b46bd7cc1f30ac0ba68541", + "eval/handoff_quality.py": "7daf635510764e236f48ca7e2537a85d8ebc1ad995513144329c1f0236405937", + "eval/harness.py": "8c96c26a121dfc2d9ea051a05861af8951c93a732dba9cb13de0de178414b016", + "eval/hosted_evidence.py": "7946cd8c1e3aa291268271b2aa11210d5f09c9b05ba635aa0b64bef07bdcee45", + "eval/hosted_ledger.py": "a53036d12ff671371c148910a816fb20c7e7f3346250a303722352f47b06c476", + "eval/hosted_luna.py": "4dbf02a65eec38bcde92d82952a0b372abbac1f68378d11a04528f4a31a835dc", + "eval/local_benchmark_queue.py": "43fa67b4d653e770822da816511e8e62b3714e60d2edd49ea2a4c5c3d8d20851", + "eval/local_capacity_campaign.py": "ab4935263f9d24c4e38bd4f16164b4c4c07eff91c695809b6fc75299d4f03d62", + "eval/longmemeval_v2.py": "defb4d47f453aa4615a8f101b82df3fadf64f0f9eae0ce1021d86d3750dad437", + "eval/longmemeval_v2_evidence.py": "8486bd4dcfdd8b1f7a14c32fe4f427c980ccdcc3aa2eb018d7dfc40305412eff", + "eval/longmemeval_v2_matrix.py": "ca085cd59481813cce5dbdfbc94f40f67173ac3a1bc3dce6f6d3e09eb7b08153", + "eval/metrics.py": "16857e2cf6ed339cb57a26c9bfa1879444b4d279bd972e5a9fa644ed1308afe0", + "eval/native_coverage_scaling.py": "0d318c116241050fc0c7bdbbb5646ca67944d7c304ccd9a462834e0553ffa90a", + "eval/performance.py": "dccc55c26dc396f9fee98defd152900cf8aabeb5d6198bc711e0eb8f472ecc57", + "eval/performance_engine.py": "3d37cf0a5989c8fa6e8b6ab7ae0b2e0d5410a8b922d2f3130c1a7794d93dcbb1", + "eval/planned_recall.py": "f9a87291ecb181045b98ca65fe55db820bf7cee4ae4f4d087ca3458afdd7837e", + "eval/proactive_ranking.py": "8610541f1d547f9c0eb46d078dbcaa670c0a97157acc37f96ec08b482cb7a6ab", + "eval/productivity.py": "6d4644ebdc44472aeb3879963774fab276bfa269b781139c46ded48774a22717", + "eval/public_readiness.py": "5ce8a18d0bfe09e75e88548a589b8fc6d2cbf04c0f8cd1ce51cd9519136a2751", + "eval/redteam_poisoning.py": "fce120cc3adf2ee966b59cd3ea7f20d242a0af49b52492143543130fe14c0cc8", + "eval/reinforcement.py": "72ed766775a2658eaa728afec51c0ac22d97a90e813111954df66a6ec50f2bef", + "eval/repair_discovery.py": "db05496fbbcb0df86c5cdc2f0c85fb6b6605b0cace6cb44ae2add10b72784b5f", + "eval/resolver_reworded_corrections.py": "a9054778a37b2175b46f04b674b4779e358931eee5d2ae52bbc5f953d234fb9e", + "eval/resource_hierarchy.py": "5ab6c989bb143c4386749c45a33c190447e829c1b5657e8c0aca30f34bd69461", + "eval/rework_statistics.py": "e12c14288797c5cf2dd93d51f606244287bc2f4ff8bd401f1d1b072efd1f9529", + "eval/run_longmemeval_v2.py": "866863d9f8f7ce8f7c3c36741ab324faa5fae417827f907c655eace38de0f5ac", + "eval/task_pairs.py": "fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v98.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v98.json.sha256 new file mode 100644 index 00000000..4325667d --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v98.json.sha256 @@ -0,0 +1 @@ +32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5 offline-fixtures-v98.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index cc388a53..a3870cf8 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -a0a58233df44 +32c3f6fb75b8 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 30aa91c2..3a0a6e64 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9 + SHA256 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5 diff --git a/engraphis/cloud_session.py b/engraphis/cloud_session.py index a0283300..cd7693d3 100644 --- a/engraphis/cloud_session.py +++ b/engraphis/cloud_session.py @@ -1052,6 +1052,8 @@ def access_for_workspace( Completed rotations are persisted even if time expires, before a timeout is raised. OS filesystem/DNS calls cannot be preempted; their elapsed time is charged before another phase starts. Callers omitting the deadline retain the existing behavior. + Control-only callers leave compute metadata unresolved; compute callers must use + ``require_compute=True`` to validate that destination before sending credentials. """ _check_deadline(deadline) @@ -1062,7 +1064,10 @@ def access_for_workspace( if raw_direct_token.strip() and not direct_token: raise CloudSessionError("The cloud access credential is invalid.", status=409) if direct_token and direct_org and (direct_compute or not require_compute): - compute_url = _reachable_cloud_base_url(direct_compute) if direct_compute else "" + compute_url = ( + _reachable_cloud_base_url(direct_compute) + if require_compute and direct_compute else direct_compute + ) _check_deadline(deadline) return direct_token, direct_org, compute_url @@ -1112,7 +1117,10 @@ def access_for_workspace( ) control = _reachable_cloud_base_url(control) _check_deadline(deadline) - compute = _reachable_cloud_base_url(compute) if compute else "" + # A compute outage must not block control-only services such as Jev or sync. + # Preserve the binding so a later compute request still validates it normally. + if require_compute and compute: + compute = _reachable_cloud_base_url(compute) _check_deadline(deadline) token_subject = _token_subject(saved) try: diff --git a/engraphis/config.py b/engraphis/config.py index f7dde0d6..ff94c5ef 100644 --- a/engraphis/config.py +++ b/engraphis/config.py @@ -35,6 +35,12 @@ ) +def _validate_trusted_env_size(content: str) -> None: + """Never publish configuration that the bounded reader cannot load.""" + if len(content.encode("utf-8")) > _MAX_CONFIG_ENV_BYTES: + raise UnsafeStateFile("trusted config file exceeds the 1 MiB size limit") + + def _resolve_config_env_path( *, environ: Optional[dict] = None, @@ -809,7 +815,7 @@ def _env_bool(key: str, default: bool) -> bool: def persist_project_env(values: dict[str, str], path: Optional[Path] = None) -> Path: - """Upsert non-secret runtime settings in the trusted config file atomically. + """Upsert runtime settings in the trusted config file atomically. With no explicit *path*, dashboard controls persist beside other owner-private Engraphis state. The process-fixed ``ENGRAPHIS_ENV_FILE`` override is selected @@ -866,11 +872,13 @@ def persist_project_env(values: dict[str, str], path: Optional[Path] = None) -> if key not in found: rendered.append(f"{key}={value}") + content = "\n".join(rendered).rstrip() + "\n" + _validate_trusted_env_size(content) if trusted_target: ensure_owner_private_dir(target.parent) atomic_private_text( target, - "\n".join(rendered).rstrip() + "\n", + content, mode=mode, expected_stat=source_stat, ) diff --git a/engraphis/mcp_server.py b/engraphis/mcp_server.py index 69289e44..c570f6f5 100644 --- a/engraphis/mcp_server.py +++ b/engraphis/mcp_server.py @@ -2433,14 +2433,14 @@ def fallback(reason: str) -> str: if kind == "guard_command": # Prefix heuristics do not parse shell syntax and cannot authorize it. result.update({"allow_auto": False, "escalate_to_user": True}) - elif kind == "custom": + elif kind == "custom" or reason == "invalid_request": result["selected"] = None return _ok(result) - if offline_mode or allow_remote is not True: - return fallback("offline" if offline_mode else "remote_not_authorized") if kind not in {"guard_command", "classify_contradiction", "verify_support", "verify_completion", "custom"}: return fallback("invalid_request") + if offline_mode or allow_remote is not True: + return fallback("offline" if offline_mode else "remote_not_authorized") relevant_inputs = { "guard_command": (state,), "classify_contradiction": (state, existing_content), diff --git a/scripts/init.py b/scripts/init.py index 94c8971c..b510f6d8 100644 --- a/scripts/init.py +++ b/scripts/init.py @@ -36,6 +36,7 @@ _HEX64 = set("0123456789abcdef") +_MAX_JEV_KEY_CHARS = 4096 def _ok(label: str, detail: str = "") -> None: @@ -260,6 +261,8 @@ def _write_env( ) -> None: """Atomically replace one private configuration or key file.""" if owner_private_parent: + from engraphis.config import _validate_trusted_env_size + _validate_trusted_env_size(content) ensure_owner_private_dir(path.parent) atomic_private_text(path, content) @@ -388,15 +391,23 @@ def main(argv=None) -> int: if args.prefetch: return cmd_prefetch() - raw_jev_key = args.jev_key or args.typesafe_key + raw_jev_key = args.jev_key if args.jev_key is not None else args.typesafe_key resolved_jev_key: Optional[str] = None if raw_jev_key is not None: if raw_jev_key == "-": if sys.stdin is None or sys.stdin.isatty(): _fail("Jev API key", "--jev-key - reads the key from stdin; pipe it in, e.g. `echo $KEY | engraphis-init --jev-key -`.") return 1 - raw_jev_key = sys.stdin.readline().strip("\r\n") + # Allow a full key plus CRLF, but never consume an unbounded pipe. + raw_jev_key = sys.stdin.readline(_MAX_JEV_KEY_CHARS + 3) + if len(raw_jev_key) == _MAX_JEV_KEY_CHARS + 3: + _fail("Jev API key", f"key must contain at most {_MAX_JEV_KEY_CHARS} characters") + return 1 + raw_jev_key = raw_jev_key.strip("\r\n") cleaned_key = str(raw_jev_key).strip() + if len(cleaned_key) > _MAX_JEV_KEY_CHARS: + _fail("Jev API key", f"key must contain at most {_MAX_JEV_KEY_CHARS} characters") + return 1 if not cleaned_key or not cleaned_key.isascii() or not cleaned_key.isprintable() or " " in cleaned_key: _fail("Jev API key", "key must be printable ASCII without whitespace") return 1 @@ -439,16 +450,19 @@ def main(argv=None) -> int: key_path = Path(existing_key).expanduser() if resolved_jev_key: from engraphis.config import persist_project_env - persist_project_env( - { - # Keys are printable ASCII, so JSON's quote/backslash escapes - # exactly match the trusted-env parser without expansion. - "TYPESAFE_API_KEY": json.dumps(resolved_jev_key), - "JEV_API_KEY": json.dumps(resolved_jev_key), - "ENGRAPHIS_DECISION_BACKEND": "byok", - }, - env_file, - ) + try: + persist_project_env( + { + # JSON's escapes match the trusted-env parser without expansion. + "TYPESAFE_API_KEY": json.dumps(resolved_jev_key), + "JEV_API_KEY": json.dumps(resolved_jev_key), + "ENGRAPHIS_DECISION_BACKEND": "byok", + }, + env_file, + ) + except OSError as exc: + _fail("trusted configuration", str(exc)) + return 1 print(" jev api key -> updated in trusted config (TypeSafe BYOK configured; not verified)") else: if use_encryption: diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 61da53e1..07099386 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v97.json" -PUBLIC_OFFLINE_SHA = "a0a58233df445a4f731dfb5b79e8f4c49dea07930da457fbc0fba5eadef6e2b9" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v98.json" +PUBLIC_OFFLINE_SHA = "32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index e98171ce..9e8f4bfd 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v97.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v98.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_init.py b/tests/test_init.py index d775aa2c..624a01a0 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -435,7 +435,7 @@ def test_init_jev_key_roundtrips_trusted_parser(tmp_path, monkeypatch, capsys, e assert key not in captured.out + captured.err -@pytest.mark.parametrize("key", ["key with space", "synthetic\nsecret", "synthetic\x00secret", +@pytest.mark.parametrize("key", ["", "key with space", "synthetic\nsecret", "synthetic\x00secret", "synthetic\tsecret", "synthetic\u00e9secret"]) def test_init_rejects_malformed_jev_key(tmp_path, monkeypatch, capsys, key): monkeypatch.chdir(tmp_path) @@ -443,7 +443,80 @@ def test_init_rejects_malformed_jev_key(tmp_path, monkeypatch, capsys, key): assert not _config_env(tmp_path).exists() captured = capsys.readouterr() assert "key must be printable ASCII without whitespace" in captured.out - assert key not in captured.out + captured.err + if key: + assert key not in captured.out + captured.err + + +@pytest.mark.parametrize("existing", [False, True]) +@pytest.mark.parametrize("source", ["argument", "stdin"]) +def test_init_rejects_oversized_jev_key_without_writing(tmp_path, monkeypatch, capsys, existing, source): + import io + + monkeypatch.chdir(tmp_path) + env_file = _config_env(tmp_path) + original = b"ENGRAPHIS_DB_PATH=/keep/database.db\n" + if existing: + _write_private(env_file, original.decode()) + original = env_file.read_bytes() + key = "synthetic-" + "x" * (600 * 1024) + stream = io.StringIO(key + "\n") + monkeypatch.setattr(sys, "stdin", stream) + assert main(["--jev-key", "-" if source == "stdin" else key, "--no-encryption"]) == 1 + if source == "stdin": + assert stream.tell() == init_script._MAX_JEV_KEY_CHARS + 3 + assert env_file.read_bytes() == original if existing else not env_file.exists() + captured = capsys.readouterr() + assert "at most 4096 characters" in captured.out + assert "synthetic-" not in captured.out + captured.err + + +@pytest.mark.parametrize("source", ["argument", "stdin"]) +def test_init_maximum_jev_key_roundtrips_with_escaping(tmp_path, monkeypatch, capsys, source): + import io + from engraphis.config import _parse_trusted_env + + monkeypatch.chdir(tmp_path) + key = '\\"' * (init_script._MAX_JEV_KEY_CHARS // 2) + assert len(key) == init_script._MAX_JEV_KEY_CHARS + monkeypatch.setattr(sys, "stdin", io.StringIO(key + "\r\n")) + assert main(["--jev-key", "-" if source == "stdin" else key, "--no-encryption"]) == 0 + content = _config_env(tmp_path).read_text() + values = _parse_trusted_env(content) + assert values["TYPESAFE_API_KEY"] == values["JEV_API_KEY"] == key + assert len(content.encode()) <= 1024 * 1024 + assert key not in capsys.readouterr().out + + +def test_init_jev_update_preserves_a_near_limit_config(tmp_path, monkeypatch, capsys): + monkeypatch.chdir(tmp_path) + env_file = _config_env(tmp_path) + prefix = "ENGRAPHIS_DB_PATH=/keep/database.db\n#" + original = prefix + "x" * (1024 * 1024 - len(prefix) - 1) + "\n" + _write_private(env_file, original) + env_file.write_bytes(original.encode()) + before = env_file.read_bytes() + assert len(before) == 1024 * 1024 + mode = env_file.stat().st_mode + assert main(["--jev-key", "synthetic-small-key", "--no-encryption"]) == 1 + assert env_file.read_bytes() == before + assert env_file.stat().st_mode == mode + captured = capsys.readouterr() + assert "1 MiB size limit" in captured.out + assert "synthetic-small-key" not in captured.out + captured.err + + +@pytest.mark.parametrize("existing", [False, True]) +def test_init_rejects_oversized_rendered_config_before_publication(tmp_path, monkeypatch, capsys, existing): + monkeypatch.chdir(tmp_path) + env_file = _config_env(tmp_path) + original = b"ENGRAPHIS_DB_PATH=/keep/database.db\n" + if existing: + _write_private(env_file, original.decode()) + original = env_file.read_bytes() + monkeypatch.setattr(init_script, "_env_content", lambda *args, **kwargs: "\u00e9" * (512 * 1024 + 1)) + assert main(["--force", "--no-encryption"]) == 1 + assert env_file.read_bytes() == original if existing else not env_file.exists() + assert "1 MiB size limit" in capsys.readouterr().out def test_doctor_reports_jev_decision_status(tmp_path, monkeypatch, capsys): diff --git a/tests/test_jev_origin_binding.py b/tests/test_jev_origin_binding.py index a62ba106..e03714e3 100644 --- a/tests/test_jev_origin_binding.py +++ b/tests/test_jev_origin_binding.py @@ -70,6 +70,59 @@ def _evaluate(client): model=transport.MODEL, allow_remote=True) +@pytest.mark.parametrize("source", ["environment", "saved"]) +def test_managed_decisions_survive_compute_dns_outage_and_preserve_binding(bootstrap, monkeypatch, source): + control = "https://api.engraphis.com" + compute = "https://unavailable-compute.example.test/base/" + client, calls = bootstrap(control, control, source=source) + if source == "saved": + saved = cloud_session._load() + saved["compute_url"] = compute + cloud_session._save(saved) + else: + monkeypatch.setenv("ENGRAPHIS_CLOUD_COMPUTE_URL", compute) + resolved = [] + healthy_dns = socket.getaddrinfo + + def dns(host, *args, **kwargs): + resolved.append(host) + if host == "unavailable-compute.example.test": + raise socket.gaierror("synthetic compute outage") + return healthy_dns(host, *args, **kwargs) + + monkeypatch.setattr(socket, "getaddrinfo", dns) + assert client.is_configured + for _ in range(2): + assert _evaluate(client).get_noul("q").probability == 0.9 + assert "unavailable-compute.example.test" not in resolved + saved = cloud_session._load() + assert saved["compute_url"] == compute + assert saved["refresh_credential"] == "synthetic-rotated-2" + # Compute use still validates the saved destination before spending a refresh. + with pytest.raises(cloud_session.CloudSessionError, match="temporarily unreachable"): + cloud_session.access_for_workspace(None) + assert len(calls["refresh"]) == len(calls["decision"]) == 2 + assert cloud_session._load()["refresh_credential"] == "synthetic-rotated-2" + + +def test_direct_control_access_does_not_resolve_unused_compute(monkeypatch): + monkeypatch.setenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "synthetic-access") + monkeypatch.setenv("ENGRAPHIS_CLOUD_ORGANIZATION_ID", "org_synthetic") + compute = "https://unavailable-compute.example.test" + monkeypatch.setenv("ENGRAPHIS_CLOUD_COMPUTE_URL", compute) + + def unavailable(*args, **kwargs): + raise socket.gaierror("synthetic compute outage") + + monkeypatch.setattr(socket, "getaddrinfo", unavailable) + monkeypatch.setattr(cloud_session, "_load", lambda: pytest.fail("direct access must not load saved credentials")) + assert cloud_session.access_for_workspace(None, require_compute=False) == ( + "synthetic-access", "org_synthetic", compute, + ) + with pytest.raises(cloud_session.CloudSessionError, match="temporarily unreachable"): + cloud_session.access_for_workspace(None) + + @pytest.mark.parametrize("source", ["environment", "saved"]) @pytest.mark.parametrize("raw,canonical", [ ("https://api.engraphis.com/", "https://api.engraphis.com"), diff --git a/tests/test_llm_config.py b/tests/test_llm_config.py index 8e92676c..425a0340 100644 --- a/tests/test_llm_config.py +++ b/tests/test_llm_config.py @@ -101,6 +101,24 @@ def test_persist_project_env_rejects_oversized_existing_file(tmp_path): persist_project_env({"ENGRAPHIS_EXTRACTOR": "none"}, path=target) +def test_persist_project_env_bounds_rendered_utf8_bytes_without_replacing_file(tmp_path, monkeypatch): + from engraphis import config + + monkeypatch.setattr(config, "_MAX_CONFIG_ENV_BYTES", 64) + target = tmp_path / ".env" + with pytest.raises(UnsafeStateFile, match="size limit"): + persist_project_env({"KEY": "\u00e9" * 30}, path=target) + assert not target.exists() + persist_project_env({"KEY": "\u00e9" * 29 + "x"}, path=target) + before = target.read_bytes() + assert len(before) == 64 + mode = target.stat().st_mode + with pytest.raises(UnsafeStateFile, match="size limit"): + persist_project_env({"KEY": "\u00e9" * 30}, path=target) + assert target.read_bytes() == before + assert target.stat().st_mode == mode + + def test_llm_auto_extract_defaults_off_and_accepts_explicit_on(monkeypatch): monkeypatch.delenv("ENGRAPHIS_LLM_AUTO_EXTRACT", raising=False) assert Settings().llm_auto_extract is False diff --git a/tests/test_mcp_jev_consent.py b/tests/test_mcp_jev_consent.py index 121bcdc4..4f03f1a4 100644 --- a/tests/test_mcp_jev_consent.py +++ b/tests/test_mcp_jev_consent.py @@ -10,6 +10,39 @@ from engraphis.backends import jev_transport as transport +@pytest.mark.parametrize("dispatch", ["direct", "classic", "smart"]) +@pytest.mark.parametrize("consent", [{}, {"offline_mode": True, "allow_remote": True}, + {"allow_remote": True}]) +def test_invalid_kind_never_fabricates_a_decision_or_inspects_credentials( + monkeypatch, dispatch, consent, +): + def forbidden(*args, **kwargs): + pytest.fail("invalid requests must not inspect credentials or call a backend") + + monkeypatch.setattr(transport, "select_decision_client", forbidden) + arguments = {"kind": "unknown", "state": "Synthetic", **consent} + if dispatch == "direct": + raw = server.engraphis_decide(**arguments) + elif dispatch == "classic": + response = asyncio.run(server.classic_mcp.call_tool("engraphis_decide", arguments)) + content = response[0] if isinstance(response, tuple) else response + raw = content[0].text + else: + action = server._action_payload(server.ACTION_SPECS["decide"]) + response = server.engraphis_execute_action( + capability_id=action["capability_id"], schema_digest=action["schema_digest"], + arguments=arguments, + ) + raw = response if isinstance(response, str) else response.content[0].text + result = json.loads(raw) + if dispatch == "smart": + result = result["result"] + assert result["fallback_reason"] == "invalid_request" + assert result["selected"] is None + assert result["confidence"] is None + assert result["is_fallback"] is True + + @pytest.mark.parametrize("kwargs", ({}, {"allow_remote": False}, {"offline_mode": True, "allow_remote": True})) def test_unapproved_or_offline_mcp_never_discovers_credentials(monkeypatch, kwargs): diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index 7224fab1..58d62b79 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -334,7 +334,7 @@ def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, assert result.stdout.strip() == expected -def test_github_release_writers_share_publication_queue(): +def test_github_release_writers_share_publication_lock(): yaml = pytest.importorskip("yaml") root = Path(__file__).resolve().parents[1] workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) @@ -346,7 +346,6 @@ def test_github_release_writers_share_publication_queue(): for job in writers.values(): assert job["concurrency"] == { "group": "engraphis-github-release-publication", "cancel-in-progress": False, - "queue": "max", } From 3e7d0246bb85c32c0884bf407499d9f45d1f5be9 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 08:01:21 -0400 Subject: [PATCH 28/64] fix: preserve reviewed GitHub release publication queue --- .github/workflows/release.yml | 19 +++---------------- CHANGELOG.md | 2 +- tests/test_release_qualification.py | 3 ++- 3 files changed, 6 insertions(+), 18 deletions(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 97aab6e6..de2d3af5 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -896,6 +896,7 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false + queue: max needs: publish environment: release-qualification if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') @@ -961,6 +962,7 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false + queue: max environment: release-qualification if: >- github.event_name == 'workflow_dispatch' && @@ -1283,22 +1285,7 @@ jobs: --repo "$GH_REPO" \ --clobber if [ "$WAIVE_QUALIFICATION" = "true" ] && [ "$promote_latest" = "true" ]; then - current_latest="$(gh release view --repo "$GH_REPO" --json tagName --jq .tagName)" - promote_latest="$(python - "$RELEASE_TAG" "$current_latest" <<'PY' - import re - import sys - - def version(tag): - if re.fullmatch(r"v(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)", tag) is None: - raise SystemExit("Latest release comparison requires stable version tags") - return tuple(map(int, tag[1:].split("."))) - - print("true" if version(sys.argv[1]) >= version(sys.argv[2]) else "false") - PY - )" - if [ "$promote_latest" = "true" ]; then - gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest - fi + gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest fi else gh release create "$RELEASE_TAG" verified-dist/* release-evidence/* \ diff --git a/CHANGELOG.md b/CHANGELOG.md index 14faf9a5..a3867547 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -29,7 +29,7 @@ All notable changes to Engraphis are documented here. Format loosely follows proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication lock to serialize GitHub release writes. + release, with a shared publication queue to serialize GitHub release writes. - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index 58d62b79..7224fab1 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -334,7 +334,7 @@ def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, assert result.stdout.strip() == expected -def test_github_release_writers_share_publication_lock(): +def test_github_release_writers_share_publication_queue(): yaml = pytest.importorskip("yaml") root = Path(__file__).resolve().parents[1] workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) @@ -346,6 +346,7 @@ def test_github_release_writers_share_publication_lock(): for job in writers.values(): assert job["concurrency"] == { "group": "engraphis-github-release-publication", "cancel-in-progress": False, + "queue": "max", } From baf105243d53561301ee5b18593135012ca560c9 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 08:07:26 -0400 Subject: [PATCH 29/64] fix(release): retain supported publication queue --- .github/workflows/release.yml | 19 +++---------------- CHANGELOG.md | 2 +- tests/test_release_qualification.py | 3 ++- 3 files changed, 6 insertions(+), 18 deletions(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 97aab6e6..de2d3af5 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -896,6 +896,7 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false + queue: max needs: publish environment: release-qualification if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v') @@ -961,6 +962,7 @@ jobs: concurrency: group: engraphis-github-release-publication cancel-in-progress: false + queue: max environment: release-qualification if: >- github.event_name == 'workflow_dispatch' && @@ -1283,22 +1285,7 @@ jobs: --repo "$GH_REPO" \ --clobber if [ "$WAIVE_QUALIFICATION" = "true" ] && [ "$promote_latest" = "true" ]; then - current_latest="$(gh release view --repo "$GH_REPO" --json tagName --jq .tagName)" - promote_latest="$(python - "$RELEASE_TAG" "$current_latest" <<'PY' - import re - import sys - - def version(tag): - if re.fullmatch(r"v(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)\.(0|[1-9][0-9]*)", tag) is None: - raise SystemExit("Latest release comparison requires stable version tags") - return tuple(map(int, tag[1:].split("."))) - - print("true" if version(sys.argv[1]) >= version(sys.argv[2]) else "false") - PY - )" - if [ "$promote_latest" = "true" ]; then - gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest - fi + gh release edit "$RELEASE_TAG" --repo "$GH_REPO" --latest fi else gh release create "$RELEASE_TAG" verified-dist/* release-evidence/* \ diff --git a/CHANGELOG.md b/CHANGELOG.md index 6e5a23ab..7409e72c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,7 +14,7 @@ All notable changes to Engraphis are documented here. Format loosely follows proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only requests across parser versions. - Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication lock to serialize GitHub release writes. + release, with a shared publication queue to serialize GitHub release writes. - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. diff --git a/tests/test_release_qualification.py b/tests/test_release_qualification.py index 58d62b79..7224fab1 100644 --- a/tests/test_release_qualification.py +++ b/tests/test_release_qualification.py @@ -334,7 +334,7 @@ def test_waiver_latest_comparison_is_numeric_and_fails_closed(candidate, latest, assert result.stdout.strip() == expected -def test_github_release_writers_share_publication_lock(): +def test_github_release_writers_share_publication_queue(): yaml = pytest.importorskip("yaml") root = Path(__file__).resolve().parents[1] workflow = yaml.safe_load((root / ".github/workflows/release.yml").read_text(encoding="utf-8")) @@ -346,6 +346,7 @@ def test_github_release_writers_share_publication_lock(): for job in writers.values(): assert job["concurrency"] == { "group": "engraphis-github-release-publication", "cancel-in-progress": False, + "queue": "max", } From a3f26546f4b92a7b8d73a2199e34ab9ad25f97b6 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 08:47:46 -0400 Subject: [PATCH 30/64] fix(jev): preserve trusted key updates and injected client compatibility --- BENCHMARKS.md | 10 +- CHANGELOG.md | 5 +- README.md | 4 +- .../offline-fixtures-v99.json | 694 ++++++++++++++++++ .../offline-fixtures-v99.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/backends/jev_decision.py | 27 +- scripts/init.py | 1 - tests/test_benchmark_evidence.py | 4 +- tests/test_documentation_contracts.py | 2 +- tests/test_init.py | 49 +- tests/test_jev_backend.py | 77 ++ 13 files changed, 859 insertions(+), 23 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v99.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v99.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 6e304aa0..3f4f4f95 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v98.json`](docs/benchmark-evidence/offline-fixtures-v98.json) artifact. Its +[`offline-fixtures-v99.json`](docs/benchmark-evidence/offline-fixtures-v99.json) artifact. Its SHA-256 is -`32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5`, also recorded in the +`2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`15195ce5073d27ebed813a3700b0774020b577fa904cbd5ccbcda56898c3f178`. The artifact defines +`52732e96745cc5e0cdf2dac705b3dcfae7257f0b03ff85b919e36e16a1eab4b3`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v98.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v99.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v98.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v99.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index a3867547..6ac8e8cd 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,7 +10,10 @@ All notable changes to Engraphis are documented here. Format loosely follows - Bounded Jev key input and serialized configuration before publication, preserving existing setup on rejection. Invalid decision kinds now defer without a fabricated selection in direct, Classic, and Smart calls. -- Refreshed the public offline fixtures and source bindings in immutable v98 evidence. +- Preserved owner-only configuration checks when updating an existing Jev key, and + restored support for legacy injected decision clients while retaining per-call consent + and a single provider invocation. +- Refreshed the public offline fixtures and source bindings in immutable v99 evidence. - Added saved project-to-workspace routing and connection instructions so agents can use the user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized diff --git a/README.md b/README.md index 1f6c06f5..0bf8c0c8 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v98.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v98.json), +[`offline-fixtures-v99.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v99.json), SHA-256 -`32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5`. +`2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v99.json b/docs/benchmark-evidence/offline-fixtures-v99.json new file mode 100644 index 00000000..91ef280f --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v99.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + 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"fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v99.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v99.json.sha256 new file mode 100644 index 00000000..e82c0764 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v99.json.sha256 @@ -0,0 +1 @@ +2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee offline-fixtures-v99.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index a3870cf8..78aae7de 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -32c3f6fb75b8 +2be75a71f407 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 3a0a6e64..d4977d42 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5 + SHA256 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee diff --git a/engraphis/backends/jev_decision.py b/engraphis/backends/jev_decision.py index 5f2d4790..03638975 100644 --- a/engraphis/backends/jev_decision.py +++ b/engraphis/backends/jev_decision.py @@ -8,10 +8,11 @@ """ from __future__ import annotations +import inspect import math import os from dataclasses import dataclass -from typing import Dict, Optional, Protocol, Sequence, Tuple +from typing import Callable, Dict, Optional, Protocol, Sequence, Tuple from engraphis.core.interfaces import MemoryRecord @@ -58,6 +59,8 @@ class DecisionClient(Protocol): Caller owns immutable model identity, endpoint, deadlines, data filtering and credentials. Passing an arbitrary SDK object is not a verified integration. + Clients may additionally accept per-call consent and classification keywords; + the adapter binds the supported signature before making a single invocation. """ @property @@ -68,8 +71,6 @@ def allow_fallback(self) -> bool: ... def evaluate( self, state: str, questions: Sequence[DecisionQuestion], *, model: str, - allow_remote: bool = False, purpose: str = "custom", - data_classification: str = "internal", ) -> DecisionBatch: ... @@ -132,14 +133,28 @@ def _evaluate( self, state: str, question: DecisionQuestion, allow_remote: bool, purpose: str, data_classification: str, ) -> Optional[DecisionBatch]: - if allow_remote is not True or len(state) > MAX_STATE_CHARS or not self.is_available: + if (allow_remote is not True or not isinstance(data_classification, str) + or data_classification not in {"public", "internal"} + or len(state) > MAX_STATE_CHARS or not self.is_available): return None client, model = self.client, self.model if client is None or model is None: return None try: - batch = client.evaluate(state, [question], model=model, allow_remote=True, - purpose=purpose, data_classification=data_classification) + evaluate: Callable[..., DecisionBatch] = client.evaluate + signature = inspect.signature(evaluate) + options: Dict[str, object] = { + "model": model, "allow_remote": True, "purpose": purpose, + "data_classification": data_classification, + } + try: + signature.bind(state, [question], **options) + except TypeError: + # Preserve the original injected-client contract. Never retry a + # provider invocation: a TypeError can follow a completed request. + signature.bind(state, [question], model=model) + options = {"model": model} + batch = evaluate(state, [question], **options) return batch if batch.is_fallback is False else None except Exception: # Provider exceptions may contain request text or credentials. Do not log them. diff --git a/scripts/init.py b/scripts/init.py index b510f6d8..8bee06f7 100644 --- a/scripts/init.py +++ b/scripts/init.py @@ -458,7 +458,6 @@ def main(argv=None) -> int: "JEV_API_KEY": json.dumps(resolved_jev_key), "ENGRAPHIS_DECISION_BACKEND": "byok", }, - env_file, ) except OSError as exc: _fail("trusted configuration", str(exc)) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 07099386..f0d4e72d 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v98.json" -PUBLIC_OFFLINE_SHA = "32c3f6fb75b88f44d1ddc091fcee0c0429eb8cfa668963f017084a46149302f5" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v99.json" +PUBLIC_OFFLINE_SHA = "2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee" @pytest.fixture(scope="module") diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 9e8f4bfd..78c91c26 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v98.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v99.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} diff --git a/tests/test_init.py b/tests/test_init.py index 624a01a0..f1e4ca7a 100644 --- a/tests/test_init.py +++ b/tests/test_init.py @@ -25,8 +25,10 @@ def _write_private(path: Path, content: str) -> None: @pytest.fixture(autouse=True) def _select_trusted_config(tmp_path, monkeypatch): + from engraphis import config + path = _config_env(tmp_path) - monkeypatch.setattr(init_script, "_trusted_env_file", lambda: path) + monkeypatch.setattr(config, "_CONFIG_ENV_PATH", path) # Fresh Settings instances must keep the offline test configuration. monkeypatch.setenv("ENGRAPHIS_EMBED_MODEL", "") return path @@ -70,6 +72,51 @@ def test_init_rejects_an_insecure_existing_trusted_env(tmp_path, monkeypatch, ca assert "owner-only permissions are required" in capsys.readouterr().out +@pytest.mark.skipif(os.name == "nt", reason="POSIX permission bits do not apply on Windows") +def test_jev_update_rejects_permissions_changed_after_initial_read(tmp_path, monkeypatch, capsys): + env_file = _config_env(tmp_path) + _write_private(env_file, "ENGRAPHIS_DB_PATH=/keep/database.db\n") + original = env_file.read_bytes() + read = init_script._read_existing_env + + def changed_permissions(path): + content = read(path) + path.chmod(0o644) + return content + + monkeypatch.setattr(init_script, "_read_existing_env", changed_permissions) + assert main(["--jev-key", "synthetic-private-key", "--no-encryption"]) == 1 + assert env_file.read_bytes() == original + captured = capsys.readouterr() + assert "owner-only permissions are required" in captured.out + assert "synthetic-private-key" not in captured.out + captured.err + + +def test_jev_update_keeps_the_original_trusted_override(tmp_path, monkeypatch, capsys): + from engraphis import config + + selected = tmp_path / "selected" / "config.env" + later = tmp_path / "later" / "config.env" + _write_private(selected, "ENGRAPHIS_DB_PATH=/keep/database.db\n") + _write_private(later, "ENGRAPHIS_DB_PATH=/other/database.db\n") + other_bytes = later.read_bytes() + monkeypatch.setattr(config, "_CONFIG_ENV_PATH", selected) + monkeypatch.setenv("ENGRAPHIS_ENV_FILE", str(selected)) + read = init_script._read_existing_env + + def changed_override(path): + assert path == selected + content = read(path) + monkeypatch.setenv("ENGRAPHIS_ENV_FILE", str(later)) + return content + + monkeypatch.setattr(init_script, "_read_existing_env", changed_override) + assert main(["--jev-key", "synthetic-private-key", "--no-encryption"]) == 0 + assert config._parse_trusted_env(selected.read_text())["JEV_API_KEY"] == "synthetic-private-key" + assert later.read_bytes() == other_bytes + assert "synthetic-private-key" not in capsys.readouterr().out + + def test_init_reports_trusted_config_selection_failure(monkeypatch, capsys): def fail(): raise ValueError("ENGRAPHIS_ENV_FILE must be an absolute path") diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index f175c6d4..dbfa8e8d 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -17,6 +17,7 @@ class FakeClient: def __init__(self, *, fallback=False, confidence=0.9, probability=0.9, verdict="reinforces"): self.calls = [] + self.contexts = [] self.batch = SimpleNamespace( is_fallback=fallback, get_choice=lambda _: SimpleNamespace(selected=verdict, confidence=confidence), @@ -25,6 +26,7 @@ def __init__(self, *, fallback=False, confidence=0.9, probability=0.9, verdict=" def evaluate(self, state, questions, *, model, allow_remote=False, purpose="custom", data_classification="internal"): self.calls.append((state, [question.to_dict() for question in questions], model)) + self.contexts.append((allow_remote, purpose, data_classification)) return self.batch @@ -85,6 +87,81 @@ def test_explicitly_authorized_valid_response_is_advisory(): assert client.calls[1][1][0]["options"] == ["contradicts_and_supersedes", "reinforces", "orthogonal"] +class LegacyClient(FakeClient): + def evaluate(self, state, questions, *, model): + self.calls.append((state, [question.to_dict() for question in questions], model)) + return self.batch + + +def test_original_injected_client_contract_still_produces_advisory_results(): + client = LegacyClient() + adapter = backend(client) + assert adapter.verify_grounded_support("database?", "Postgres", allow_remote=True) == (True, 0.9) + assert adapter.classify_contradiction("Use Postgres", memory(), allow_remote=True) == ("reinforces", 0.9) + assert [call[2] for call in client.calls] == ["test-model-1.0", "test-model-1.0"] + + +@pytest.mark.parametrize("variadic", [False, True]) +def test_context_aware_clients_receive_the_authorized_request_context(variadic): + class VariadicClient(FakeClient): + def evaluate(self, state, questions, **options): + return super().evaluate(state, questions, **options) + + client = VariadicClient() if variadic else FakeClient() + adapter = backend(client) + assert adapter.verify_grounded_support( + "database?", "Postgres", allow_remote=True, data_classification="public", + ) == (True, 0.9) + assert adapter.classify_contradiction("Use Postgres", memory(), allow_remote=True) == ("reinforces", 0.9) + assert client.contexts == [(True, "verify_support", "public"), (True, "classify_contradiction", "internal")] + + +@pytest.mark.parametrize("approved,offline,classification", [ + (False, False, "internal"), (1, False, "internal"), (True, True, "internal"), + (True, False, "confidential"), (True, False, None), (True, False, []), +]) +def test_denied_advisory_requests_do_not_inspect_client_credentials(approved, offline, classification): + class PrivateClient(LegacyClient): + @property + def is_configured(self): + pytest.fail("denied requests must not inspect client credentials") + + client = PrivateClient() + adapter = backend(client, offline_mode=offline) + assert adapter.verify_grounded_support( + "database?", "Postgres", allow_remote=approved, data_classification=classification, + ) == (False, 0.0) + assert client.calls == [] + + +@pytest.mark.parametrize("legacy", [False, True]) +def test_provider_typeerror_never_retries_an_invocation(legacy, caplog): + class ModernFailure(FakeClient): + def evaluate(self, state, questions, **options): + super().evaluate(state, questions, **options) + raise TypeError("synthetic-private-provider-error") + + class LegacyFailure(LegacyClient): + def evaluate(self, state, questions, *, model): + super().evaluate(state, questions, model=model) + raise TypeError("synthetic-private-provider-error") + + client = LegacyFailure() if legacy else ModernFailure() + assert backend(client).verify_grounded_support("database?", "Postgres", allow_remote=True) == (False, 0.0) + assert len(client.calls) == 1 + assert "synthetic-private-provider-error" not in caplog.text + + +def test_unsupported_client_signature_defers_without_invocation(): + class UnsupportedClient(FakeClient): + def evaluate(self, state, questions, *, model, required_context): + pytest.fail("unsupported signatures must not invoke the client") + + assert backend(UnsupportedClient()).verify_grounded_support( + "database?", "Postgres", allow_remote=True, + ) == (False, 0.0) + + @pytest.mark.parametrize("field,value", [ ("confidence", float("nan")), ("confidence", float("inf")), ("confidence", True), ("confidence", -0.1), ("confidence", 1.1), ("confidence", 0.5), From 49bd3698ff2f3587fef655844ad0b8e76e82cfce Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:36:20 -0400 Subject: [PATCH 31/64] fix(cloud): preserve completed refresh rotations at request deadlines --- BENCHMARKS.md | 10 +- CHANGELOG.md | 4 +- README.md | 4 +- .../offline-fixtures-v100.json | 694 ++++++++++++++++++ .../offline-fixtures-v100.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/cloud_session.py | 3 +- engraphis/http_deadline.py | 40 +- tests/test_benchmark_evidence.py | 4 +- tests/test_cloud_session_deadline.py | 108 ++- tests/test_documentation_contracts.py | 2 +- 12 files changed, 849 insertions(+), 29 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v100.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v100.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 3f4f4f95..4d759467 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v99.json`](docs/benchmark-evidence/offline-fixtures-v99.json) artifact. Its +[`offline-fixtures-v100.json`](docs/benchmark-evidence/offline-fixtures-v100.json) artifact. Its SHA-256 is -`2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee`, also recorded in the +`059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`52732e96745cc5e0cdf2dac705b3dcfae7257f0b03ff85b919e36e16a1eab4b3`. The artifact defines +`f3ddacbc22c498a52bf1da8f0d25242faed7a34b550a48e2c6321b57f18c9222`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v99.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v100.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v99.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v100.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index 6ac8e8cd..d3199b9b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,7 +13,9 @@ All notable changes to Engraphis are documented here. Format loosely follows - Preserved owner-only configuration checks when updating an existing Jev key, and restored support for legacy injected decision clients while retaining per-call consent and a single provider invocation. -- Refreshed the public offline fixtures and source bindings in immutable v99 evidence. +- Save fully received Cloud credential rotations before reporting an expired request + deadline, while rejecting truncated bodies and watchdog-interrupted responses. +- Refreshed the public offline fixtures and source bindings in immutable v100 evidence. - Added saved project-to-workspace routing and connection instructions so agents can use the user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized diff --git a/README.md b/README.md index 0bf8c0c8..2b9b20ef 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v99.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v99.json), +[`offline-fixtures-v100.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v100.json), SHA-256 -`2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee`. +`059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v100.json b/docs/benchmark-evidence/offline-fixtures-v100.json new file mode 100644 index 00000000..f816e10f --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v100.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-28", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "f3ddacbc22c498a52bf1da8f0d25242faed7a34b550a48e2c6321b57f18c9222", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + "engraphis/ai_context.py": "4dfd5d39eb95d05c591d1981e9e855eced73232f53efd9fe9966e0e08957d030", + 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b/docs/images/context-efficiency.svg index 78aae7de..8f69efde 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -2be75a71f407 +059ad974cbd7 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index d4977d42..a3fcea56 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee + SHA256 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a diff --git a/engraphis/cloud_session.py b/engraphis/cloud_session.py index cd7693d3..60383cd6 100644 --- a/engraphis/cloud_session.py +++ b/engraphis/cloud_session.py @@ -966,7 +966,8 @@ def _post_refresh(control_url: str, refresh: str, workspace_id: Optional[str], with response: raw = ( response.read(_MAX_RESPONSE_BYTES + 1) if deadline is None - else read_response(response, deadline, max_bytes=_MAX_RESPONSE_BYTES) + else read_response(response, deadline, max_bytes=_MAX_RESPONSE_BYTES, + preserve_complete=True) ) except (OSError, ValueError, http.client.HTTPException) as exc: # Post-response, and therefore NOT a transient outage. The server answered, so the diff --git a/engraphis/http_deadline.py b/engraphis/http_deadline.py index 3902617b..afd38498 100644 --- a/engraphis/http_deadline.py +++ b/engraphis/http_deadline.py @@ -6,8 +6,10 @@ """ from __future__ import annotations +import threading import time from contextlib import contextmanager +from typing import Optional def remaining_time(deadline: float) -> float: @@ -21,14 +23,15 @@ def remaining_time(deadline: float) -> float: def socket_deadline(sock, deadline: float): """Interrupt a blocking HTTP parser even when every receive makes progress.""" import socket - import threading + interrupted = threading.Event() timer = None if isinstance(sock, socket.socket): # Even read1() can consume several reads while parsing chunk framing. # Interrupt the socket at the deadline so slow chunk headers cannot keep # a single read1() alive. Shutdown does not acquire the reader's lock. def expire(): + interrupted.set() try: sock.shutdown(socket.SHUT_RDWR) except OSError: @@ -38,7 +41,7 @@ def expire(): timer.daemon = True timer.start() try: - yield + yield interrupted finally: if timer is not None: timer.cancel() @@ -155,14 +158,18 @@ def do_open(self, http_class, req, **kwargs): return DeadlineHTTPHandler(), DeadlineHTTPSHandler() -def read_response(response, deadline: float, *, max_bytes: int) -> bytes: - """Bound total body-read time, including a peer that continuously drips bytes.""" +def read_response(response, deadline: float, *, max_bytes: int, + preserve_complete: bool = False) -> bytes: + """Bound body reads; optionally retain a complete body for credential rotation.""" sock = getattr(getattr(getattr(response, "fp", None), "raw", None), "_sock", None) - with socket_deadline(sock, deadline): - return read_response_chunks(response, deadline, max_bytes=max_bytes) + with socket_deadline(sock, deadline) as interrupted: + return read_response_chunks(response, deadline, max_bytes=max_bytes, + preserve_complete=preserve_complete, interrupted=interrupted) -def read_response_chunks(response, deadline: float, *, max_bytes: int) -> bytes: +def read_response_chunks(response, deadline: float, *, max_bytes: int, + preserve_complete: bool = False, + interrupted: Optional[threading.Event] = None) -> bytes: data = bytearray() while len(data) <= max_bytes: remaining = remaining_time(deadline) @@ -175,8 +182,25 @@ def read_response_chunks(response, deadline: float, *, max_bytes: int) -> bytes: # read() tries to fill its entire buffer; read1() returns after a single # buffered/socket read, letting the absolute deadline run between chunks. chunk = response.read1(min(4096, max_bytes + 1 - len(data))) + data.extend(chunk) + if preserve_complete: + if len(data) > max_bytes: + break # The caller rejects oversized bodies before parsing. + # A final length-delimited chunk needs no additional EOF read. Let + # refresh callers persist its rotation before reporting the timeout. + if not getattr(response, "chunked", False) and getattr(response, "length", None) == 0: + break + if not chunk: + # Shutdown can manufacture EOF, including inside chunk trailers; + # only a natural EOF establishes a complete unframed body. + if interrupted is not None and interrupted.is_set(): + raise TimeoutError("HTTP request deadline exceeded") + outstanding = getattr(response, "length", None) + if outstanding is not None and outstanding > 0: + from http.client import IncompleteRead + raise IncompleteRead(bytes(data), outstanding) + break remaining_time(deadline) if not chunk: break - data.extend(chunk) return bytes(data) diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index f0d4e72d..d8c656f7 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v99.json" -PUBLIC_OFFLINE_SHA = "2be75a71f4079444fa5fe3158c8afc876381d65f92e06409dad1e22855924aee" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v100.json" +PUBLIC_OFFLINE_SHA = "059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a" @pytest.fixture(scope="module") diff --git a/tests/test_cloud_session_deadline.py b/tests/test_cloud_session_deadline.py index 1da7bcd1..192eb975 100644 --- a/tests/test_cloud_session_deadline.py +++ b/tests/test_cloud_session_deadline.py @@ -4,6 +4,7 @@ """ from __future__ import annotations +import http.client import io import json import multiprocessing @@ -169,6 +170,95 @@ def slow_save(value): assert "refresh_unusable" not in saved +def _http_body_at_deadline(monkeypatch, framing, *, incomplete=False): + raw = json.dumps(_rotation()).encode() + if framing == "length": + headers = b"Content-Length: " + str(len(raw) + int(incomplete)).encode() + b"\r\n" + body = raw + elif framing == "chunked": + headers = b"Transfer-Encoding: chunked\r\n" + body = ("%x\r\n" % len(raw)).encode() + raw + b"\r\n0\r\n\r\n" + else: + headers = b"Connection: close\r\n" + body = raw + + class SyntheticSocket: + def makefile(self, *args, **kwargs): + return io.BytesIO(b"HTTP/1.1 200 OK\r\n" + headers + b"\r\n" + body) + + response = http.client.HTTPResponse(SyntheticSocket()) + response.begin() + clock = [100.0] + monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + read = response.read1 + calls = [] + + def read_chunk(size=-1): + chunk = read(min(size, 17)) + calls.append(chunk) + if response.length == 0 or not chunk: + clock[0] = 105.0 + return chunk + + monkeypatch.setattr(response, "read1", read_chunk) + return response, calls, raw, clock + + +@pytest.mark.parametrize("framing", ["length", "close", "chunked"]) +def test_completed_http_rotation_is_saved_at_body_deadline(monkeypatch, saved_session, framing): + response, reads, raw, _clock = _http_body_at_deadline(monkeypatch, framing) + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda *args, **kwargs: response)) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated" + assert not cloud_session._refresh_is_unusable(saved, "synthetic-rotated") + assert "refresh_unusable" not in saved + assert response.closed + assert b"".join(reads) == raw + assert (reads[-1] == b"") is (framing != "length") + + +@pytest.mark.parametrize("failure", ["truncated", "partial", "oversized"]) +def test_unfinished_http_rotation_at_deadline_is_not_saved(monkeypatch, saved_session, failure): + response, _reads, raw, clock = _http_body_at_deadline( + monkeypatch, "length", incomplete=failure == "truncated", + ) + if failure == "partial": + read = response.read1 + + def read_partial(size=-1): + chunk = read(size) + clock[0] = 105.0 + return chunk + + monkeypatch.setattr(response, "read1", read_partial) + elif failure == "oversized": + monkeypatch.setattr(cloud_session, "_MAX_RESPONSE_BYTES", len(raw) - 1) + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda *args, **kwargs: response)) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + + saved = cloud_session._load() + assert saved.get("refresh_credential") != "synthetic-rotated" + assert cloud_session._refresh_is_unusable(saved, "synthetic-unspent") + assert response.closed + + +@pytest.mark.parametrize("framing", ["length", "close", "chunked"]) +def test_ordinary_decision_reader_keeps_strict_deadline(monkeypatch, framing): + response, _reads, _raw, _clock = _http_body_at_deadline(monkeypatch, framing) + with response, pytest.raises(TimeoutError): + jev_transport._read_response(response, 105.0) + + @pytest.mark.parametrize("expiry_phase", ["origin", "url_validation"]) def test_exhausted_preflight_never_spends_refresh(monkeypatch, saved_session, expiry_phase): clock = [100.0] @@ -244,7 +334,7 @@ def open_request(request, timeout): cloud_session.access_for_workspace(None, require_compute=False) -@pytest.mark.parametrize("phase", ["complete", "headers", "chunk_framing"]) +@pytest.mark.parametrize("phase", ["complete", "headers", "chunk_framing", "chunk_trailer", "eof_body"]) def test_real_loopback_refresh_shares_deadline_and_never_uses_proxy( monkeypatch, saved_session, phase, ): @@ -258,13 +348,21 @@ def do_POST(self): )))) try: if self.path == "/v1/tokens/refresh" and phase != "complete": - prefix = (b"HTTP/1.1 200 OK\r\nX-Slow: " if phase == "headers" else - b"HTTP/1.1 200 OK\r\nTransfer-Encoding: chunked\r\n\r\n") + raw = json.dumps(_rotation()).encode() + if phase == "headers": + prefix = b"HTTP/1.1 200 OK\r\nX-Slow: " + elif phase == "eof_body": + prefix = b"HTTP/1.1 200 OK\r\nConnection: close\r\n\r\n" + raw + else: + prefix = b"HTTP/1.1 200 OK\r\nTransfer-Encoding: chunked\r\n\r\n" + if phase == "chunk_trailer": + prefix += ("%x\r\n" % len(raw)).encode() + raw + b"\r\n0\r\nX-Slow: " self.wfile.write(prefix) self.wfile.flush() - # More bytes arrive continuously, but no header/chunk finishes. + # Continuous progress must not turn watchdog shutdown into + # proof of EOF or a complete chunk trailer. while not stopped.wait(0.01): - self.wfile.write(b"0") + self.wfile.write(b" " if phase == "eof_body" else b"0") self.wfile.flush() return value = _rotation() if self.path == "/v1/tokens/refresh" else _decision() diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 78c91c26..b1df9f97 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v99.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v100.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} From c442ce386b46b05a7eaea73f9caa636455775ba0 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:44:30 -0400 Subject: [PATCH 32/64] fix(pi): update vulnerable IP address classification dependency --- CHANGELOG.md | 2 ++ integrations/pi/npm-shrinkwrap.json | 6 +++--- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d3199b9b..21c1b069 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,8 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing + IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. - Kept managed Jev available when an unrelated compute endpoint cannot resolve, while retaining destination validation for requests that use compute. - Bounded Jev key input and serialized configuration before publication, preserving diff --git a/integrations/pi/npm-shrinkwrap.json b/integrations/pi/npm-shrinkwrap.json index 02a3687e..108b7490 100644 --- a/integrations/pi/npm-shrinkwrap.json +++ b/integrations/pi/npm-shrinkwrap.json @@ -3172,9 +3172,9 @@ "license": "ISC" }, "node_modules/ip-address": { - "version": "10.4.0", - "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.4.0.tgz", - "integrity": "sha512-oSK96Grm3aP6OrS263xVxbNDGVL7rzBtYdpGqlDG8iQdoenDoTs/nkki+DflYbAEE8Xl6o5YxhxlrKvI3nqKXQ==", + "version": "10.5.1", + "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.5.1.tgz", + "integrity": "sha512-EXujUp9jyOI/chPgtqk6uy7fDq8AeCB/WlfEuPg9LN0fN9lzKAKfuDYi60SMhHwgUiEhZvVYsbGZN+RUU1INiA==", "license": "MIT", "engines": { "node": ">= 12" From 92d0f94b6a210cdeda0c4330299fbbcdd5811919 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:47:12 -0400 Subject: [PATCH 33/64] fix(pi): pin patched IP classification dependency across candidate stack --- CHANGELOG.md | 2 ++ integrations/pi/npm-shrinkwrap.json | 6 +++--- 2 files changed, 5 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 7409e72c..c80c9589 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,8 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing + IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. - Hardened the experimental Cloud decision client with validated destinations, redirect refusal, bounded responses, strict decision parsing, and read-only result interfaces. Loopback endpoints bypass proxies and reject external DNS diff --git a/integrations/pi/npm-shrinkwrap.json b/integrations/pi/npm-shrinkwrap.json index 02a3687e..108b7490 100644 --- a/integrations/pi/npm-shrinkwrap.json +++ b/integrations/pi/npm-shrinkwrap.json @@ -3172,9 +3172,9 @@ "license": "ISC" }, "node_modules/ip-address": { - "version": "10.4.0", - "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.4.0.tgz", - "integrity": "sha512-oSK96Grm3aP6OrS263xVxbNDGVL7rzBtYdpGqlDG8iQdoenDoTs/nkki+DflYbAEE8Xl6o5YxhxlrKvI3nqKXQ==", + "version": "10.5.1", + "resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.5.1.tgz", + "integrity": "sha512-EXujUp9jyOI/chPgtqk6uy7fDq8AeCB/WlfEuPg9LN0fN9lzKAKfuDYi60SMhHwgUiEhZvVYsbGZN+RUU1INiA==", "license": "MIT", "engines": { "node": ">= 12" From 927185d530331caddcd162b3b23d8e204c28ccf2 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:50:20 -0400 Subject: [PATCH 34/64] Preserve local dashboard rendering and graph cache improvements --- .../dashboard_assets/engraphis-graph-every.js | 21 ++++++++++++++++ engraphis/dashboard_assets/engraphis-graph.js | 25 +++++++++++++++++++ engraphis/dashboard_assets/ledger.css | 6 ++--- engraphis/dashboard_assets/ledger.js | 1 + engraphis/graphdata.py | 14 ++++++----- engraphis/service.py | 20 ++++++--------- 6 files changed, 66 insertions(+), 21 deletions(-) diff --git a/engraphis/dashboard_assets/engraphis-graph-every.js b/engraphis/dashboard_assets/engraphis-graph-every.js index d5680c07..dbfc8ca2 100644 --- a/engraphis/dashboard_assets/engraphis-graph-every.js +++ b/engraphis/dashboard_assets/engraphis-graph-every.js @@ -1309,6 +1309,25 @@ if (observer) observer.observe(element); window.addEventListener('resize', resize); + const handleContextLost = event => { + event.preventDefault(); + state.paused = true; + if (state.frame) { caf(state.frame); state.frame = 0; } + }; + const handleContextRestored = () => { + initWebgl(); + state.paused = false; + if (state.ready) { + uploadNodePositions(); + uploadNodeMeta(); + uploadEdges(); + uploadEdgePositions(); + schedule(); + } + }; + canvas.addEventListener('webglcontextlost', handleContextLost); + canvas.addEventListener('webglcontextrestored', handleContextRestored); + initWebgl(); if (gl && nodeProgram) { worker = new Worker(WORKER_URL); @@ -1361,6 +1380,8 @@ worker = null; } if (observer) observer.disconnect(); + canvas.removeEventListener('webglcontextlost', handleContextLost); + canvas.removeEventListener('webglcontextrestored', handleContextRestored); window.removeEventListener('resize', resize); element.removeEventListener('keydown', handleKeydown); if (gl) { diff --git a/engraphis/dashboard_assets/engraphis-graph.js b/engraphis/dashboard_assets/engraphis-graph.js index 6bed8220..0880788a 100644 --- a/engraphis/dashboard_assets/engraphis-graph.js +++ b/engraphis/dashboard_assets/engraphis-graph.js @@ -11401,6 +11401,31 @@ })), }; }; + api.exportImageCanvas = () => { + if (destroyed) return null; + const graphCanvas = el.querySelector('.force-graph-container canvas') || el.querySelector('canvas'); + if (!graphCanvas) return null; + const spacetimeCanvas = el.querySelector('.graph-spacetime-overlay'); + const output = document.createElement('canvas'); + output.width = graphCanvas.width; + output.height = graphCanvas.height; + const ctx = output.getContext('2d'); + if (!ctx) return null; + const styleAttr = el.getAttribute('data-graph-style') || (state.settings && state.settings.style) || 'cyber'; + const bgColors = { + cyber: '#080c14', + galaxy: '#070a12', + solar: '#120d09', + classic: '#0e1014', + }; + ctx.fillStyle = bgColors[styleAttr] || '#0e1014'; + ctx.fillRect(0, 0, output.width, output.height); + if (spacetimeCanvas && spacetimeCanvas.width > 0 && spacetimeCanvas.height > 0) { + ctx.drawImage(spacetimeCanvas, 0, 0, output.width, output.height); + } + ctx.drawImage(graphCanvas, 0, 0); + return output; + }; api.fit = () => { if (!destroyed) fg.zoomToFit(reduced() ? 0 : 500, 40); }; api.physicsDiagnostics = () => physicsDiagnostics(); api.graphToScreen = (x, y) => { diff --git a/engraphis/dashboard_assets/ledger.css b/engraphis/dashboard_assets/ledger.css index 8b8dd318..287370da 100644 --- a/engraphis/dashboard_assets/ledger.css +++ b/engraphis/dashboard_assets/ledger.css @@ -404,7 +404,7 @@ body[data-theme="paper"] .theme-switcher select { color-scheme: light; } padding-top: 12px; border-top: 1px solid var(--c-line); } -.metric { display: grid; gap: 2px; } +.metric { display: grid; gap: 2px; min-width: 0; overflow-wrap: break-word; } .metric strong { font: 400 23px/1.2 var(--serif); font-variant-numeric: tabular-nums; } .metric span { color: var(--c-dim); font-size: 11px; } .content-section { min-width: 0; } @@ -1247,8 +1247,8 @@ body[data-theme="paper"] .graph-header { .workspace-switcher { grid-column: 2; grid-row: 1; } .dashboard-switcher { grid-column: 1 / -1; grid-row: 2; } .theme-switcher { grid-column: 1 / -1; grid-row: 3; } - .primary-nav { grid-column: 1 / -1; grid-row: 4; display: grid; grid-template-columns: repeat(5, minmax(0, 1fr)); } - .manage-nav { grid-column: 1 / -1; grid-row: 5; padding-top: 0; border-top: 0; } + .primary-nav { grid-column: 1 / -1; grid-row: 4; display: grid; grid-template-columns: repeat(4, minmax(0, 1fr)); } + .manage-nav { grid-column: 1 / -1; grid-row: 5; display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); padding-top: 0; border-top: 0; } .primary-nav .nav-item, .manage-nav .nav-item { padding: 7px 4px; text-align: center; } .primary-nav .nav-item small, .manage-nav .nav-item small { display: none; } .sidebar-promo { grid-column: 1 / -1; grid-row: 6; } diff --git a/engraphis/dashboard_assets/ledger.js b/engraphis/dashboard_assets/ledger.js index 2175839a..eba14ea9 100644 --- a/engraphis/dashboard_assets/ledger.js +++ b/engraphis/dashboard_assets/ledger.js @@ -5853,6 +5853,7 @@ exportGraphJson(); }); byId('graph-connections-close').addEventListener('click', closeGraphConnections); + byId('graph-connections-dialog').addEventListener('close', cancelGraphConnectionMemoryLoad); byId('graph-connections-focus').addEventListener('click', () => { const id = state.graphConnectionsFocusId; if (!id) return; diff --git a/engraphis/graphdata.py b/engraphis/graphdata.py index 986eba46..bfab7d1c 100644 --- a/engraphis/graphdata.py +++ b/engraphis/graphdata.py @@ -63,19 +63,21 @@ def build_graph_payload(workspace: str, entity_rows: Sequence[Mapping[str, Any]] src, dst, rel = e["src"], e["dst"], e["relation"] if not src or not dst: continue - layer = e.get("layer") if hasattr(e, "get") else None + e_get = getattr(e, "get", None) + layer = e_get("layer") if e_get is not None else None layer = layer or "semantic" deg[src] = deg.get(src, 0) + 1 deg[dst] = deg.get(dst, 0) + 1 layers[layer] = layers.get(layer, 0) + 1 - reason = e.get("reason") if hasattr(e, "get") else None + reason = e_get("reason") if e_get is not None else None item = {"from": src, "to": dst, "label": rel or "", "layer": layer} if reason: item["reason"] = reason - for key in ("id", "valid_from", "valid_to"): - value = e.get(key) if hasattr(e, "get") else None - if value not in (None, ""): - item[key] = value + if e_get is not None: + for key in ("id", "valid_from", "valid_to"): + value = e_get(key) + if value not in (None, ""): + item[key] = value edges.append(item) # every node referenced by an edge must exist so the network renders cleanly, even diff --git a/engraphis/service.py b/engraphis/service.py index 03b40236..7a24f55b 100644 --- a/engraphis/service.py +++ b/engraphis/service.py @@ -23,7 +23,6 @@ import contextvars import logging import math -import copy import sqlite3 import time import threading @@ -10744,16 +10743,14 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int: ) if cached is not None and ( both_anchored or time.time() < cached[0]): - if clean_presentation == "all": - cached_scene = cached[1] - scene = dict(cached_scene) - scene["meta"] = dict(cached_scene["meta"]) - else: - scene = copy.deepcopy(cached[1]) + cached_scene = cached[1] + scene = dict(cached_scene) + scene["meta"] = dict(cached_scene["meta"]) scene["meta"]["cache_hit"] = True scene["meta"]["query_ms"] = round( (time.perf_counter() - started) * 1000.0, 3 ) + self._graph_scene_cache.move_to_end(cache_key) return scene if cached is not None: del self._graph_scene_cache[cache_key] @@ -10882,11 +10879,10 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int: if clean_level == "complete": for key in [key for key in self._graph_scene_cache if key[2] == "complete"]: self._graph_scene_cache.pop(key, None) - cached_scene = scene if clean_presentation == "all" else copy.deepcopy(scene) - response_scene = scene - if clean_presentation == "all": - response_scene = dict(scene) - response_scene["meta"] = dict(scene["meta"]) + cached_scene = dict(scene) + cached_scene["meta"] = dict(scene["meta"]) + response_scene = dict(scene) + response_scene["meta"] = dict(scene["meta"]) self._graph_scene_cache[cache_key] = (valid_until, cached_scene) self._graph_scene_cache.move_to_end(cache_key) while len(self._graph_scene_cache) > 16: From fe46d7904172386915247d59a68f1167eb6c5921 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:56:44 -0400 Subject: [PATCH 35/64] fix(pi): update test host and audit development dependencies --- .github/workflows/ci.yml | 2 +- CHANGELOG.md | 2 + integrations/pi/README.md | 2 +- integrations/pi/npm-shrinkwrap.json | 1418 ++++++++++++++------------- integrations/pi/package.json | 2 +- 5 files changed, 733 insertions(+), 693 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 09b0de7c..e49b977c 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -241,7 +241,7 @@ jobs: npm ci --ignore-scripts npm run verify npm run test:integration - npm audit --omit=dev + npm audit browser-accessibility: name: browser accessibility smoke diff --git a/CHANGELOG.md b/CHANGELOG.md index 21c1b069..d383d17f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,8 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and + extended the Pi dependency audit to cover its development dependencies. - Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. - Kept managed Jev available when an unrelated compute endpoint cannot resolve, diff --git a/integrations/pi/README.md b/integrations/pi/README.md index ef2c2f29..45a4c1e2 100644 --- a/integrations/pi/README.md +++ b/integrations/pi/README.md @@ -40,7 +40,7 @@ When published, install the Pi package: pi install npm:@engraphis/pi ``` -The extension is tested with Pi 0.83.x, Node 22.19 or later, and Engraphis +The extension is tested with Pi 0.87.1, Node 22.19 or later, and Engraphis 1.5.x. Pi supplies its own Pi and TypeBox runtime modules, following Pi's package contract; the extension checks the required Smart MCP tool names when it opens the local server and reports an actionable compatibility error if they are absent. diff --git a/integrations/pi/npm-shrinkwrap.json b/integrations/pi/npm-shrinkwrap.json index 108b7490..18a7966a 100644 --- a/integrations/pi/npm-shrinkwrap.json +++ b/integrations/pi/npm-shrinkwrap.json @@ -12,7 +12,7 @@ "@modelcontextprotocol/sdk": "1.30.0" }, "devDependencies": { - "@earendil-works/pi-coding-agent": "0.84.1", + "@earendil-works/pi-coding-agent": "0.87.1", "@types/node": "^24.0.0", "tsx": "^4.20.0", "typebox": "1.3.7", @@ -35,53 +35,49 @@ } }, "node_modules/@earendil-works/pi-coding-agent": { - "version": "0.84.1", - "resolved": "https://registry.npmjs.org/@earendil-works/pi-coding-agent/-/pi-coding-agent-0.84.1.tgz", - "integrity": "sha512-ncAqFrG+iybuPGOhMiZoEHkEzTpJgz3guYD32pD+M7ucc0WeHmauP6wa7qwP8V/KWvsZDVNa5XGsdZ7fkC7w7A==", + "version": "0.87.1", + "resolved": "https://registry.npmjs.org/@earendil-works/pi-coding-agent/-/pi-coding-agent-0.87.1.tgz", + "integrity": "sha512-m8ArJUtVcQMSe1lLE/Ei7vX/JV7O39sWmWBsXV2NOU70F0qCp8GubA24pT3LnwTmM6LL2xV80/h6sQg85n69ew==", "dev": true, "hasShrinkwrap": true, "license": "MIT", "dependencies": { - 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"funding": [ - { - "type": "github", - "url": "https://github.com/sponsors/NaturalIntelligence" - } - ], - "license": "MIT" + "license": "MIT", + "dependencies": { + "@stablelib/base64": "^1.0.0", + "fast-sha256": "^1.3.0" + } }, "node_modules/@earendil-works/pi-coding-agent/node_modules/ts-algebra": { "version": "2.0.0", @@ -1918,16 +1992,16 @@ "license": "0BSD" }, "node_modules/@earendil-works/pi-coding-agent/node_modules/typebox": { - "version": "1.3.7", - "resolved": "https://registry.npmjs.org/typebox/-/typebox-1.3.7.tgz", - "integrity": "sha512-meKuifc33Pccx0O6PdIzYMq3Og8zvP4TIi/a+Bw3AEMZMxOD0+RHGQvpglEe6Zdy3wZ8nqn/j95h8LUZLk/6Hg==", + "version": "1.3.27", + "resolved": "https://registry.npmjs.org/typebox/-/typebox-1.3.27.tgz", + "integrity": "sha512-zu+jc1pcy4UiNThxikUr36f0Rybk9PEeCg/NE6adeWr/SKsdNO4EzZHYRDlv2YCVAfj3Odq3dESSo/jNyoBXzA==", "dev": true, "license": "MIT" }, "node_modules/@earendil-works/pi-coding-agent/node_modules/undici": { - "version": "8.9.0", - "resolved": "https://registry.npmjs.org/undici/-/undici-8.9.0.tgz", - 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"@earendil-works/pi-coding-agent": "0.84.1", + "@earendil-works/pi-coding-agent": "0.87.1", "@types/node": "^24.0.0", "tsx": "^4.20.0", "typebox": "1.3.7", From a498e039d5f5ebdb0eac28a90bcd9d4d3a0e19bf Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 19:56:44 -0400 Subject: [PATCH 36/64] fix(pi): update test host and audit development dependencies --- .github/workflows/ci.yml | 2 +- CHANGELOG.md | 2 + integrations/pi/README.md | 2 +- integrations/pi/npm-shrinkwrap.json | 1418 ++++++++++++++------------- integrations/pi/package.json | 2 +- 5 files changed, 733 insertions(+), 693 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 09b0de7c..e49b977c 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -241,7 +241,7 @@ jobs: npm ci --ignore-scripts npm run verify npm run test:integration - npm audit --omit=dev + npm audit browser-accessibility: name: browser accessibility smoke diff --git a/CHANGELOG.md b/CHANGELOG.md index c80c9589..560e7228 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,8 @@ All notable changes to Engraphis are documented here. Format loosely follows ## [Unreleased] +- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and + extended the Pi dependency audit to cover its development dependencies. - Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. - Hardened the experimental Cloud decision client with validated destinations, diff --git a/integrations/pi/README.md b/integrations/pi/README.md index 5930548f..82007cda 100644 --- a/integrations/pi/README.md +++ b/integrations/pi/README.md @@ -40,7 +40,7 @@ When published, install the Pi package: pi install npm:@engraphis/pi ``` -The extension is tested with Pi 0.83.x, Node 22.19 or later, and Engraphis +The extension is tested with Pi 0.87.1, Node 22.19 or later, and Engraphis 1.5.x. Pi supplies its own Pi and TypeBox runtime modules, following Pi's package contract; the extension checks the required Smart MCP tool names when it opens the local server and reports an actionable compatibility error if they are absent. diff --git a/integrations/pi/npm-shrinkwrap.json b/integrations/pi/npm-shrinkwrap.json index 108b7490..18a7966a 100644 --- a/integrations/pi/npm-shrinkwrap.json +++ b/integrations/pi/npm-shrinkwrap.json @@ -12,7 +12,7 @@ "@modelcontextprotocol/sdk": "1.30.0" }, "devDependencies": { - "@earendil-works/pi-coding-agent": "0.84.1", + "@earendil-works/pi-coding-agent": "0.87.1", "@types/node": "^24.0.0", "tsx": "^4.20.0", "typebox": "1.3.7", @@ -35,53 +35,49 @@ } }, "node_modules/@earendil-works/pi-coding-agent": { - "version": "0.84.1", - "resolved": "https://registry.npmjs.org/@earendil-works/pi-coding-agent/-/pi-coding-agent-0.84.1.tgz", - "integrity": "sha512-ncAqFrG+iybuPGOhMiZoEHkEzTpJgz3guYD32pD+M7ucc0WeHmauP6wa7qwP8V/KWvsZDVNa5XGsdZ7fkC7w7A==", + "version": "0.87.1", + "resolved": "https://registry.npmjs.org/@earendil-works/pi-coding-agent/-/pi-coding-agent-0.87.1.tgz", + "integrity": "sha512-m8ArJUtVcQMSe1lLE/Ei7vX/JV7O39sWmWBsXV2NOU70F0qCp8GubA24pT3LnwTmM6LL2xV80/h6sQg85n69ew==", "dev": true, "hasShrinkwrap": true, "license": "MIT", "dependencies": { - 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"funding": [ - { - "type": "github", - "url": "https://github.com/sponsors/NaturalIntelligence" - } - ], - "license": "MIT" + "license": "MIT", + "dependencies": { + "@stablelib/base64": "^1.0.0", + "fast-sha256": "^1.3.0" + } }, "node_modules/@earendil-works/pi-coding-agent/node_modules/ts-algebra": { "version": "2.0.0", @@ -1918,16 +1992,16 @@ "license": "0BSD" }, "node_modules/@earendil-works/pi-coding-agent/node_modules/typebox": { - "version": "1.3.7", - "resolved": "https://registry.npmjs.org/typebox/-/typebox-1.3.7.tgz", - "integrity": "sha512-meKuifc33Pccx0O6PdIzYMq3Og8zvP4TIi/a+Bw3AEMZMxOD0+RHGQvpglEe6Zdy3wZ8nqn/j95h8LUZLk/6Hg==", + "version": "1.3.27", + "resolved": "https://registry.npmjs.org/typebox/-/typebox-1.3.27.tgz", + "integrity": "sha512-zu+jc1pcy4UiNThxikUr36f0Rybk9PEeCg/NE6adeWr/SKsdNO4EzZHYRDlv2YCVAfj3Odq3dESSo/jNyoBXzA==", "dev": true, "license": "MIT" }, "node_modules/@earendil-works/pi-coding-agent/node_modules/undici": { - "version": "8.9.0", - "resolved": "https://registry.npmjs.org/undici/-/undici-8.9.0.tgz", - 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"node_modules/@earendil-works/pi-coding-agent/node_modules/zod": { - "version": "3.25.76", - "resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz", - "integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==", - "dev": true, - "license": "MIT", - "funding": { - "url": "https://github.com/sponsors/colinhacks" - } - }, - "node_modules/@earendil-works/pi-coding-agent/node_modules/zod-to-json-schema": { - "version": "3.25.2", - "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", - "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==", - "dev": true, - "license": "ISC", - "peerDependencies": { - "zod": "^3.25.28 || ^4" - } - }, "node_modules/@esbuild/aix-ppc64": { "version": "0.28.1", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.28.1.tgz", diff --git a/integrations/pi/package.json b/integrations/pi/package.json index e7ab1166..b1cfc23d 100644 --- a/integrations/pi/package.json +++ b/integrations/pi/package.json @@ -64,7 +64,7 @@ } }, "devDependencies": { - "@earendil-works/pi-coding-agent": "0.84.1", + "@earendil-works/pi-coding-agent": "0.87.1", "@types/node": "^24.0.0", "tsx": "^4.20.0", "typebox": "1.3.7", From 3a9651a1920f85e53b113094d063ef96569ba18a Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:08:08 -0400 Subject: [PATCH 37/64] fix(cloud): prove chunked refresh completion across watchdog expiry --- BENCHMARKS.md | 10 +- CHANGELOG.md | 4 +- README.md | 4 +- .../offline-fixtures-v101.json | 694 ++++++++++++++++++ .../offline-fixtures-v101.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/http_deadline.py | 19 + tests/test_benchmark_evidence.py | 4 +- tests/test_cloud_session_deadline.py | 85 ++- tests/test_documentation_contracts.py | 2 +- 11 files changed, 811 insertions(+), 20 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v101.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v101.json.sha256 diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 4d759467..c378fd34 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -94,14 +94,14 @@ interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v100.json`](docs/benchmark-evidence/offline-fixtures-v100.json) artifact. Its +[`offline-fixtures-v101.json`](docs/benchmark-evidence/offline-fixtures-v101.json) artifact. Its SHA-256 is -`059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a`, also recorded in the +`2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`f3ddacbc22c498a52bf1da8f0d25242faed7a34b550a48e2c6321b57f18c9222`. The artifact defines +`be2da70778419b8d56e008bbbe9fa86a4975344ef4ead5d563e8ea7d326dd1fd`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,10 +123,10 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v100.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v101.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v100.json --output docs/images/evidence-backed-agent-examples.svg`. +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v101.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). diff --git a/CHANGELOG.md b/CHANGELOG.md index d383d17f..75474a50 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -19,7 +19,9 @@ All notable changes to Engraphis are documented here. Format loosely follows and a single provider invocation. - Save fully received Cloud credential rotations before reporting an expired request deadline, while rejecting truncated bodies and watchdog-interrupted responses. -- Refreshed the public offline fixtures and source bindings in immutable v100 evidence. +- Recognize complete chunked refresh responses at the watchdog boundary without + accepting a missing or truncated trailer terminator. +- Refreshed the public offline fixtures and source bindings in immutable v101 evidence. - Added saved project-to-workspace routing and connection instructions so agents can use the user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized diff --git a/README.md b/README.md index 2b9b20ef..51610411 100644 --- a/README.md +++ b/README.md @@ -84,9 +84,9 @@ neither is an end-to-end question-answer score. Coding outcomes, external datase operational capacity remain separate pending evaluation tracks until their artifacts are selected. These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v100.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v100.json), +[`offline-fixtures-v101.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v101.json), SHA-256 -`059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a`. +`2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, diff --git a/docs/benchmark-evidence/offline-fixtures-v101.json b/docs/benchmark-evidence/offline-fixtures-v101.json new file mode 100644 index 00000000..574ae627 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v101.json @@ -0,0 +1,694 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.5", + "platform": "win32", + "python": "3.12.10", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-29", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": 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"fddc54804e8837ec0731813297fb55825458317f898e29176e16f3f5a2f527fd", + "eval/user_journeys.py": "a1c8436d4a6871baff21f9aa4f6ac1545def60d946cd3b1454c3d9cd8661a049", + "eval/vector_scale.py": "3f9c327d9eca1a857512ddc208e972933be1a7d4fa7fa0017aca0cbf8fe7bb6d", + "eval/vector_scale_storage.py": "24040fd1b96b9f9cd43ea37b0b37ea118a02bd096aff77fc67ff8b0df769b1dc", + "eval/vector_scan_plan.py": "34fba3d029bfc78134e8c9c450b019ff56c3bdcbeb921400888077cb44e9b848", + "scripts/export_offline_evidence.py": "4e10c2b3d5f6a2024a7f95f7b87ce47ec2cb4ef31c55611b2e5cf35502ebc0ba" + } + } +} diff --git a/docs/benchmark-evidence/offline-fixtures-v101.json.sha256 b/docs/benchmark-evidence/offline-fixtures-v101.json.sha256 new file mode 100644 index 00000000..09ff761d --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v101.json.sha256 @@ -0,0 +1 @@ +2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b offline-fixtures-v101.json diff --git a/docs/images/context-efficiency.svg b/docs/images/context-efficiency.svg index 8f69efde..4543edcd 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -059ad974cbd7 +2b76b9665902 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index a3fcea56..ae518723 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a + SHA256 2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b diff --git a/engraphis/http_deadline.py b/engraphis/http_deadline.py index afd38498..e33a5f1b 100644 --- a/engraphis/http_deadline.py +++ b/engraphis/http_deadline.py @@ -100,8 +100,22 @@ def send_with_deadline(connection, send, data): class DeadlineResponse(http.client.HTTPResponse): def __init__(self, sock, *args, **kwargs): self._deadline_socket = sock + self._deadline_chunk_complete = False super().__init__(sock, *args, **kwargs) + def _read_and_discard_trailer(self): + # HTTPResponse accepts EOF without a trailer terminator. That cannot + # prove completion when our watchdog may have shut down the socket. + while True: + line = self.fp.readline(http.client._MAXLINE + 1) + if len(line) > http.client._MAXLINE: + raise http.client.LineTooLong("trailer line") + if line in (b"\r\n", b"\n"): + self._deadline_chunk_complete = True + return + if not line: + raise http.client.IncompleteRead(b"") + def begin(self): # getresponse() parses status and headers before urllib.open() # returns. Protect that phase before a response body is available. @@ -191,6 +205,11 @@ def read_response_chunks(response, deadline: float, *, max_bytes: int, if not getattr(response, "chunked", False) and getattr(response, "length", None) == 0: break if not chunk: + # A parsed terminal chunk and explicit trailer terminator prove + # completion even if the watchdog fires after read1() returns. + if (getattr(response, "chunked", False) + and getattr(response, "_deadline_chunk_complete", False)): + break # Shutdown can manufacture EOF, including inside chunk trailers; # only a natural EOF establishes a complete unframed body. if interrupted is not None and interrupted.is_set(): diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index d8c656f7..8579e7cc 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -33,8 +33,8 @@ ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v100.json" -PUBLIC_OFFLINE_SHA = "059ad974cbd7e05d45b927bc97fd4fdf88dc06d18aa8e8777b645c379a99f62a" +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v101.json" +PUBLIC_OFFLINE_SHA = "2b76b96659022e24c5c59eff35367778819fa1452cd53fb6a939390a181f5d3b" @pytest.fixture(scope="module") diff --git a/tests/test_cloud_session_deadline.py b/tests/test_cloud_session_deadline.py index 192eb975..10ab337e 100644 --- a/tests/test_cloud_session_deadline.py +++ b/tests/test_cloud_session_deadline.py @@ -12,12 +12,13 @@ import threading import time import urllib.error +from contextlib import contextmanager from http.server import BaseHTTPRequestHandler, HTTPServer from types import SimpleNamespace import pytest -from engraphis import cloud_session, hosted_client +from engraphis import cloud_session, hosted_client, http_deadline from engraphis.backends import jev_transport from engraphis.backends.jev_decision import DecisionQuestion @@ -170,14 +171,14 @@ def slow_save(value): assert "refresh_unusable" not in saved -def _http_body_at_deadline(monkeypatch, framing, *, incomplete=False): +def _http_body_at_deadline(monkeypatch, framing, *, incomplete=False, trailer=b"\r\n"): raw = json.dumps(_rotation()).encode() if framing == "length": headers = b"Content-Length: " + str(len(raw) + int(incomplete)).encode() + b"\r\n" body = raw elif framing == "chunked": headers = b"Transfer-Encoding: chunked\r\n" - body = ("%x\r\n" % len(raw)).encode() + raw + b"\r\n0\r\n\r\n" + body = ("%x\r\n" % len(raw)).encode() + raw + b"\r\n0\r\n" + trailer else: headers = b"Connection: close\r\n" body = raw @@ -186,10 +187,14 @@ class SyntheticSocket: def makefile(self, *args, **kwargs): return io.BytesIO(b"HTTP/1.1 200 OK\r\n" + headers + b"\r\n" + body) - response = http.client.HTTPResponse(SyntheticSocket()) - response.begin() clock = [100.0] monkeypatch.setattr(time, "monotonic", lambda: clock[0]) + # Construct the production response parser without opening a real socket. + handler = http_deadline.deadline_handlers(105.0)[0] + monkeypatch.setattr(handler, "do_open", + lambda connection, request: connection.response_class(SyntheticSocket())) + response = handler.http_open(urllib.request.Request("http://127.0.0.1/")) + response.begin() read = response.read1 calls = [] @@ -204,6 +209,76 @@ def read_chunk(size=-1): return response, calls, raw, clock +def _interrupt_after_eof(monkeypatch, response): + interrupted = threading.Event() + read = response.read1 + + def read_then_interrupt(size=-1): + chunk = read(size) + if not chunk: + interrupted.set() + return chunk + + @contextmanager + def watchdog(sock, deadline): + yield interrupted + + monkeypatch.setattr(response, "read1", read_then_interrupt) + monkeypatch.setattr(http_deadline, "socket_deadline", watchdog) + + +@pytest.mark.parametrize("trailer", [b"\r\n", b"\n", b"X-Test: complete\r\n\r\n"]) +def test_completed_chunked_rotation_survives_watchdog_edge(monkeypatch, saved_session, trailer): + response, _reads, _raw, _clock = _http_body_at_deadline( + monkeypatch, "chunked", trailer=trailer, + ) + _interrupt_after_eof(monkeypatch, response) + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda *args, **kwargs: response)) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + + with pytest.raises(jev_transport.DecisionClientError, match="^remote_timeout$"): + _evaluate(5) + + saved = cloud_session._load() + assert saved["refresh_credential"] == "synthetic-rotated" + assert "refresh_unusable" not in saved + assert response.closed + + +@pytest.mark.parametrize("trailer", [b"", b"X-Test: partial", b"X-Test: complete\r\n"]) +def test_unterminated_chunked_rotation_is_not_saved(monkeypatch, saved_session, trailer): + response, _reads, _raw, _clock = _http_body_at_deadline( + monkeypatch, "chunked", trailer=trailer, + ) + monkeypatch.setattr(cloud_session, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=lambda *args, **kwargs: response)) + monkeypatch.setattr(jev_transport, "_post_json", _no_network) + + with pytest.raises(jev_transport.DecisionClientError, match="^remote_unavailable$"): + _evaluate(5) + + saved = cloud_session._load() + assert saved.get("refresh_credential") != "synthetic-rotated" + assert cloud_session._refresh_is_unusable(saved, "synthetic-unspent") + assert response.closed + + +def test_complete_chunked_watchdog_edge_keeps_ordinary_deadline(monkeypatch): + response, _reads, _raw, _clock = _http_body_at_deadline(monkeypatch, "chunked") + _interrupt_after_eof(monkeypatch, response) + with response, pytest.raises(TimeoutError): + jev_transport._read_response(response, 105.0) + + +def test_chunked_trailer_keeps_standard_line_limit(monkeypatch): + response, _reads, _raw, _clock = _http_body_at_deadline( + monkeypatch, "chunked", trailer=b"X-Test: " + b"a" * 65536 + b"\r\n\r\n", + ) + with response, pytest.raises(http.client.LineTooLong): + http_deadline.read_response(response, 105.0, max_bytes=4096, preserve_complete=True) + + @pytest.mark.parametrize("framing", ["length", "close", "chunked"]) def test_completed_http_rotation_is_saved_at_body_deadline(monkeypatch, saved_session, framing): response, reads, raw, _clock = _http_body_at_deadline(monkeypatch, framing) diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index b1df9f97..f92e9988 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -107,7 +107,7 @@ def test_core_backend_imports_stay_behind_outer_composition_root() -> None: def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v100.json" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v101.json" registry_bytes = registry_path.read_bytes() registry = json.loads(registry_bytes) measurements = {run["id"]: run["result"] for run in registry["runs"]} From b0477a3524c19e8eaf61aea7408fe02f6105a42c Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:18:24 -0400 Subject: [PATCH 38/64] Preserve graph cache isolation and renderer lifecycle intent --- .../dashboard_assets/engraphis-graph-every.js | 31 +++--- engraphis/dashboard_assets/engraphis-graph.js | 12 +-- engraphis/service.py | 19 ++-- tests/e2e/graph-lifecycle.spec.js | 94 +++++++++++++++++++ tests/test_graph_explorer_v2.py | 24 +++++ 5 files changed, 152 insertions(+), 28 deletions(-) diff --git a/engraphis/dashboard_assets/engraphis-graph-every.js b/engraphis/dashboard_assets/engraphis-graph-every.js index dbfc8ca2..86ca4783 100644 --- a/engraphis/dashboard_assets/engraphis-graph-every.js +++ b/engraphis/dashboard_assets/engraphis-graph-every.js @@ -161,7 +161,7 @@ neighbors: null, incidentEdges: null, connectionHighlights: null, ready: false, visibleCount: 0, frame: 0, labelFrame: 0, flowPaintAt: 0, overlayPaintAt: 0, layoutPending: false, lastLabelKey: '', labelLayout: [], underlayKey: '', drag: null, pickGrid: null, pickDirty: true, - destroyed: false, paused: false, unsupported: !gl, error: null, + destroyed: false, paused: false, contextLost: false, unsupported: !gl, error: null, labelMetrics: new Map(), }; @@ -324,7 +324,7 @@ /* Hover dimming overlays the filter visibility: flag 1 stays bright (the hovered node plus its neighbours), flag 2 is a visible node pushed into the background. */ function applyHoverToFlags() { - if (!state.ready || !gl || !nodeProgram) return; + if (!state.ready || state.contextLost || !gl || !nodeProgram) return; /* The hovered node AND the last highlighted node anchor the lit neighbourhood, so a clicked selection keeps its paths visible after the pointer moves on. */ const anchors = []; @@ -350,12 +350,12 @@ gl.bufferData(gl.ARRAY_BUFFER, state.nodeFlags, gl.DYNAMIC_DRAW); } function uploadNodePositions() { - if (!gl || !nodeProgram) return; + if (state.contextLost || !gl || !nodeProgram) return; gl.bindBuffer(gl.ARRAY_BUFFER, nodeBuffers.position); gl.bufferData(gl.ARRAY_BUFFER, state.positions, gl.DYNAMIC_DRAW); } function uploadNodeMeta() { - if (!gl || !nodeProgram) return; + if (state.contextLost || !gl || !nodeProgram) return; const count = state.ids.length; if (state.nodeColors.length !== count * 3) state.nodeColors = new Float32Array(count * 3); if (state.nodeSizes.length !== count) state.nodeSizes = new Float32Array(count); @@ -377,7 +377,7 @@ applyHoverToFlags(); } function uploadEdges() { - if (!gl || !edgeProgram) return; + if (state.contextLost || !gl || !edgeProgram) return; const links = state.totalLinks; const positions = new Float32Array(links * 4); const factors = new Float32Array(links * 2); @@ -424,7 +424,7 @@ state.edgeVertexCount = links * 2; } function uploadEdgePositions() { - if (!gl || !edgeProgram || !state.totalLinks || !state.edgeSources) return; + if (state.contextLost || !gl || !edgeProgram || !state.totalLinks || !state.edgeSources) return; const links = state.totalLinks; if (!state.edgePositions || state.edgePositions.length !== links * 4) { state.edgePositions = new Float32Array(links * 4); @@ -592,7 +592,7 @@ function labelText(index) { return state.labels[index] || state.ids[index]; } function drawOverlay(now, force = false) { state.labelFrame = 0; - if (!labelContext || state.destroyed || state.paused) return; + if (!labelContext || state.destroyed || state.paused || state.contextLost) return; const stamp = typeof now === 'number' && now > 0 ? now : (typeof performance !== 'undefined' && performance.now ? performance.now() : Date.now()); @@ -619,7 +619,7 @@ } function runOverlayFrame(now) { drawOverlay(now); } function scheduleLabels(immediate = false) { - if (state.destroyed || state.paused || !labelContext) return; + if (state.destroyed || state.paused || state.contextLost || !labelContext) return; if (state.labelFrame) { if (!immediate) return; caf(state.labelFrame); @@ -876,7 +876,7 @@ } function draw(now = 0) { state.frame = 0; - if (state.destroyed || state.paused || !state.ready || !nodeProgram) return; + if (state.destroyed || state.paused || state.contextLost || !state.ready || !nodeProgram) return; if (flowAnimating() && state.flowPaintAt && now - state.flowPaintAt < FLOW_FRAME_MS) { schedule(); return; @@ -962,7 +962,7 @@ gl.vertexAttribPointer(edgeBuffers.attrs.visible, 1, gl.FLOAT, false, 0, 0); } function schedule() { - if (!state.destroyed && !state.paused && !state.frame) state.frame = raf(draw); + if (!state.destroyed && !state.paused && !state.contextLost && !state.frame) state.frame = raf(draw); } /* ── Camera & sizing ────────────────────────────────────────────────────────── */ @@ -1311,18 +1311,23 @@ const handleContextLost = event => { event.preventDefault(); - state.paused = true; + // Context recovery must not replace the caller's lifecycle pause/resume intent. + state.contextLost = true; if (state.frame) { caf(state.frame); state.frame = 0; } + if (state.labelFrame) { caf(state.labelFrame); state.labelFrame = 0; } }; const handleContextRestored = () => { + if (state.destroyed) return; initWebgl(); - state.paused = false; + if (!nodeProgram || !edgeProgram) return; + state.contextLost = false; if (state.ready) { uploadNodePositions(); uploadNodeMeta(); uploadEdges(); uploadEdgePositions(); schedule(); + scheduleLabels(true); } }; canvas.addEventListener('webglcontextlost', handleContextLost); @@ -1343,7 +1348,7 @@ resize(); function exportImageCanvas() { - if (state.destroyed || !state.ready || !nodeProgram) return null; + if (state.destroyed || state.contextLost || !state.ready || !nodeProgram) return null; if (state.frame) { caf(state.frame); state.frame = 0; } if (state.labelFrame) { caf(state.labelFrame); state.labelFrame = 0; } /* Paint both layers synchronously: draw() alone would leave the overlay on a rAF diff --git a/engraphis/dashboard_assets/engraphis-graph.js b/engraphis/dashboard_assets/engraphis-graph.js index 0880788a..b4d6f904 100644 --- a/engraphis/dashboard_assets/engraphis-graph.js +++ b/engraphis/dashboard_assets/engraphis-graph.js @@ -11411,14 +11411,10 @@ output.height = graphCanvas.height; const ctx = output.getContext('2d'); if (!ctx) return null; - const styleAttr = el.getAttribute('data-graph-style') || (state.settings && state.settings.style) || 'cyber'; - const bgColors = { - cyber: '#080c14', - galaxy: '#070a12', - solar: '#120d09', - classic: '#0e1014', - }; - ctx.fillStyle = bgColors[styleAttr] || '#0e1014'; + const paneStyle = typeof window.getComputedStyle === 'function' + ? window.getComputedStyle(el) : null; + ctx.fillStyle = paneStyle && paneStyle.backgroundColor + || state.themeColors.canvas || '#0e1014'; ctx.fillRect(0, 0, output.width, output.height); if (spacetimeCanvas && spacetimeCanvas.width > 0 && spacetimeCanvas.height > 0) { ctx.drawImage(spacetimeCanvas, 0, 0, output.width, output.height); diff --git a/engraphis/service.py b/engraphis/service.py index 7a24f55b..6b3ee4c1 100644 --- a/engraphis/service.py +++ b/engraphis/service.py @@ -23,6 +23,7 @@ import contextvars import logging import math +import copy import sqlite3 import time import threading @@ -10743,9 +10744,12 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int: ) if cached is not None and ( both_anchored or time.time() < cached[0]): - cached_scene = cached[1] - scene = dict(cached_scene) - scene["meta"] = dict(cached_scene["meta"]) + if clean_presentation == "all": + cached_scene = cached[1] + scene = dict(cached_scene) + scene["meta"] = dict(cached_scene["meta"]) + else: + scene = copy.deepcopy(cached[1]) scene["meta"]["cache_hit"] = True scene["meta"]["query_ms"] = round( (time.perf_counter() - started) * 1000.0, 3 @@ -10879,10 +10883,11 @@ def bounded_int(value: Any, field: str, minimum: int, maximum: int) -> int: if clean_level == "complete": for key in [key for key in self._graph_scene_cache if key[2] == "complete"]: self._graph_scene_cache.pop(key, None) - cached_scene = dict(scene) - cached_scene["meta"] = dict(scene["meta"]) - response_scene = dict(scene) - response_scene["meta"] = dict(scene["meta"]) + cached_scene = scene if clean_presentation == "all" else copy.deepcopy(scene) + response_scene = scene + if clean_presentation == "all": + response_scene = dict(scene) + response_scene["meta"] = dict(scene["meta"]) self._graph_scene_cache[cache_key] = (valid_until, cached_scene) self._graph_scene_cache.move_to_end(cache_key) while len(self._graph_scene_cache) > 16: diff --git a/tests/e2e/graph-lifecycle.spec.js b/tests/e2e/graph-lifecycle.spec.js index d753b772..6f5967a1 100644 --- a/tests/e2e/graph-lifecycle.spec.js +++ b/tests/e2e/graph-lifecycle.spec.js @@ -280,3 +280,97 @@ test('a graph requested before leaving Explore commits paused until the view ret expect(session.graphRequests).toHaveLength(1); expect(session.errors).toEqual([]); }); + +for (const pauseTiming of ['before-loss', 'during-loss', 'active']) { + test(`Every node restores WebGL with caller lifecycle intent: ${pauseTiming}`, async ({ page }) => { + const session = await fixture(page); + await openGraph(page); + await page.locator('#graph-advanced > summary').click(); + await page.locator('[data-graph-preset-choice="every"]').click(); + await expect(page.locator('#graph-canvas')).toHaveAttribute('aria-busy', 'false'); + await page.waitForFunction(() => window.__lifecycleEngines.at(-1).name === 'EngraphisEveryGraph' + && window.__lifecycleEngines.at(-1).api.state().nodeCount === 3); + if (pauseTiming === 'before-loss') { + await page.locator('.nav-item[data-view="library"]').click(); + } + await page.evaluate(async () => { + const record = window.__lifecycleEngines.at(-1); + const canvas = record.host.querySelector('.engraphis-all-canvas'); + const gl = canvas.getContext('webgl2'); + const extension = gl.getExtension('WEBGL_lose_context'); + if (!extension) throw new Error('The Chromium fixture requires WEBGL_lose_context'); + record.contextCanvas = canvas; + record.contextExtension = extension; + record.drawCalls = 0; + const drawArrays = gl.drawArrays.bind(gl); + gl.drawArrays = (...args) => { record.drawCalls += 1; return drawArrays(...args); }; + const lost = new Promise(resolve => canvas.addEventListener('webglcontextlost', resolve, { once: true })); + extension.loseContext(); + await lost; + }); + if (pauseTiming === 'during-loss') { + await page.locator('.nav-item[data-view="library"]').click(); + } + expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.exportImageCanvas())).toBeNull(); + await page.evaluate(async () => { + const record = window.__lifecycleEngines.at(-1); + const restored = new Promise(resolve => record.contextCanvas.addEventListener('webglcontextrestored', resolve, { once: true })); + record.contextExtension.restoreContext(); + await restored; + }); + const paused = pauseTiming !== 'active'; + expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().paused)).toBe(paused); + if (paused) { + const before = await page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls); + await frames(page); + expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls)).toBe(before); + await openGraph(page); + expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().paused)).toBe(false); + } + await expect.poll(() => page.evaluate(() => window.__lifecycleEngines.at(-1).drawCalls)).toBeGreaterThan(0); + expect(await page.evaluate(() => window.__lifecycleEngines.at(-1).api.state().nodeCount)).toBe(3); + expect(session.errors).toEqual([]); + }); +} + +test('Classic PNG export follows the Paper background and composites both canvases', async ({ page }) => { + const session = await fixture(page); + await openGraph(page); + await page.locator('#sidebar-theme-select').selectOption('paper'); + await expect(page.locator('body')).toHaveAttribute('data-theme', 'paper'); + await page.locator('#graph-advanced > summary').click(); + await page.locator('[data-graph-style-choice="classic"]').click(); + const image = await page.evaluate(() => { + const { api, host } = window.__lifecycleEngines.at(-1); + api.pause(); + const graph = host.querySelector('.force-graph-container canvas'); + const overlay = host.querySelector('.graph-spacetime-overlay'); + // Known pixels isolate export composition from changing physics and label positions. + for (const canvas of [graph, overlay]) { + const ctx = canvas.getContext('2d'); + ctx.setTransform(1, 0, 0, 1, 0, 0); + ctx.clearRect(0, 0, canvas.width, canvas.height); + } + const foreground = graph.getContext('2d'); + foreground.fillStyle = '#ff0000'; + foreground.fillRect(10, 10, 10, 10); + const background = overlay.getContext('2d'); + background.fillStyle = '#0000ff'; + background.fillRect(10 * overlay.width / graph.width, 10 * overlay.height / graph.height, + 30 * overlay.width / graph.width, 30 * overlay.height / graph.height); + const output = api.exportImageCanvas(); + const ctx = output.getContext('2d'); + const pixel = (x, y) => Array.from(ctx.getImageData(x, y, 1, 1).data); + return { + paneBackground: getComputedStyle(host).backgroundColor, + background: pixel(0, 0), foreground: pixel(15, 15), overlay: pixel(30, 30), + size: [output.width, output.height], graphSize: [graph.width, graph.height], + }; + }); + expect(image.paneBackground).toBe('rgb(240, 238, 232)'); + expect(image.background).toEqual([240, 238, 232, 255]); + expect(image.foreground).toEqual([255, 0, 0, 255]); + expect(image.overlay).toEqual([0, 0, 255, 255]); + expect(image.size).toEqual(image.graphSize); + expect(session.errors).toEqual([]); +}); diff --git a/tests/test_graph_explorer_v2.py b/tests/test_graph_explorer_v2.py index c2ee646d..7ce49e8e 100644 --- a/tests/test_graph_explorer_v2.py +++ b/tests/test_graph_explorer_v2.py @@ -2538,6 +2538,30 @@ def test_graph_scene_cache_is_warm_and_invalidates_on_store_write(): assert refreshed["meta"]["index_generation"] > first["meta"]["index_generation"] +@pytest.mark.parametrize("level", ["overview", "complete"]) +@pytest.mark.parametrize("mutate_cache_hit", [False, True]) +def test_quality_scene_cache_isolated_from_nested_response_mutation(level, mutate_cache_hit): + service, _alpha, _beta, _gamma = _seed_service() + kwargs = {"workspace": "acme", "level": level, "presentation": "quality"} + response = service.graph_scene(**kwargs) + if mutate_cache_hit: + response = service.graph_scene(**kwargs) + assert response["meta"]["cache_hit"] is mutate_cache_hit + expected_nodes = copy.deepcopy(response["nodes"]) + expected_edges = copy.deepcopy(response["edges"]) + scene_hash = response["meta"]["scene_hash"] + + response["nodes"][0]["label"] = "Caller-local label" + response["nodes"][0]["repo_names"].append("caller-local-repo") + response["edges"].clear() + + following = service.graph_scene(**kwargs) + assert following["meta"]["cache_hit"] is True + assert following["nodes"] == expected_nodes + assert following["edges"] == expected_edges + assert following["meta"]["scene_hash"] == scene_hash + + def test_all_presentation_cache_isolated_from_response_metadata_mutation(): service, _alpha, _beta, _gamma = _seed_service() From 7e3af7f2a01cdaa13fc5967d6fca13a68055c35c Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:21:23 -0400 Subject: [PATCH 39/64] Preserve additional local graph query improvements for review --- engraphis/core/graph_scene.py | 5 +- engraphis/core/store.py | 51 ++++++++----- engraphis/service.py | 131 ++++++++++++++++++---------------- 3 files changed, 108 insertions(+), 79 deletions(-) diff --git a/engraphis/core/graph_scene.py b/engraphis/core/graph_scene.py index c9f90afd..3b8b6348 100644 --- a/engraphis/core/graph_scene.py +++ b/engraphis/core/graph_scene.py @@ -13,7 +13,8 @@ import re from bisect import bisect_right from collections import Counter, defaultdict, deque -from typing import Any, Iterable, Mapping, Optional, Sequence +from collections.abc import Iterable, Mapping, Sequence +from typing import Any, Optional ALGORITHM_VERSION = "galaxy-v13-responsive-compact-orbits" @@ -106,7 +107,7 @@ def _hash_record( the public scene identity, including optional repository and temporal metadata. """ def normalize(value: Any) -> Any: - if isinstance(value, Mapping): + if isinstance(value, (dict, Mapping)): return { str(key): normalize(item) for key, item in sorted(value.items(), key=lambda pair: str(pair[0])) diff --git a/engraphis/core/store.py b/engraphis/core/store.py index 706744f1..65d778ca 100644 --- a/engraphis/core/store.py +++ b/engraphis/core/store.py @@ -5922,7 +5922,8 @@ def _erase_memory_rows(cls, conn, memory_id: str, *, actor: str = "user") -> dic "WHERE me.entity_id=entities.id)") if "edges" in tables: clauses.append("NOT EXISTS (SELECT 1 FROM edges e " - "WHERE e.src=entities.id OR e.dst=entities.id)") + "WHERE ((e.workspace_id=entities.workspace_id AND e.src=entities.id) " + "OR (e.workspace_id=entities.workspace_id AND e.dst=entities.id)))") if clauses: conn.execute( f"DELETE FROM entities WHERE id IN ({marks}) AND " + " AND ".join(clauses), @@ -7795,19 +7796,36 @@ def neighbors(self, node_ids: list[str], *, at: Optional[float] = None, return [] valid_at, known_at = _temporal_anchors(flt, valid_at=at) marks = ",".join("?" for _ in node_ids) - sql = ( - f"SELECT * FROM edges WHERE (src IN ({marks}) OR dst IN ({marks})) " - f"AND (valid_from IS NULL OR valid_from<=?) " - f"AND (valid_to IS NULL OR ? bool: # unrelated relation in the workspace. touching_entity_cap = all_mode_entity_cap or MAX_GRAPH_ANALYSIS_ENTITIES touching_sql = ( - "SELECT selected_entity.id, COUNT(touching_edge.id) AS touching_count " - "FROM entities selected_entity " - "LEFT JOIN edges touching_edge " - "ON touching_edge.workspace_id=? " - "AND (touching_edge.src=selected_entity.id " - "OR touching_edge.dst=selected_entity.id) " + "WITH candidate_edges AS (" + "SELECT id, src, dst FROM edges " + "WHERE workspace_id=? " ) + touching_params: list[Any] = [wid] # A live scene must classify entities from the same world/system-time edge # population used by the later edge query. Keep the historical joins intact # for time-travel scenes so closed relations can still identify ghost endpoints. if not include_history: touching_sql += ( - "AND (touching_edge.valid_from IS NULL " - "OR touching_edge.valid_from<=?) " - "AND (touching_edge.valid_to IS NULL " - "OR ? bool: touching_sql += "GROUP BY selected_entity.id HAVING " if include_history: touching_sql += ( - "COUNT(touching_edge.id)=0 OR MAX(CASE " + "COUNT(es.edge_id)=0 OR MAX(CASE " "WHEN NOT EXISTS (SELECT 1 FROM edge_supports touching_any_support " - "WHERE touching_any_support.edge_id=touching_edge.id) THEN 1 " + "WHERE touching_any_support.edge_id=es.edge_id) THEN 1 " "WHEN touching_memory.id IS NOT NULL " "AND touching_memory.workspace_id=? " "AND COALESCE(touching_memory.scope, 'workspace')!='session' " @@ -9554,10 +9563,10 @@ def temporal_ghost(row: Any) -> bool: ) else: touching_sql += ( - "COUNT(touching_edge.id)>0 AND MAX(CASE " + "COUNT(es.edge_id)>0 AND MAX(CASE " "WHEN NOT EXISTS (SELECT 1 FROM edge_supports touching_any_support " - "WHERE touching_any_support.edge_id=touching_edge.id) THEN 1 " - "WHEN touching_support.edge_id IS NOT NULL " + "WHERE touching_any_support.edge_id=es.edge_id) THEN 1 " + "WHEN es.memory_id IS NOT NULL " "AND touching_memory.id IS NOT NULL " "AND touching_memory.workspace_id=? " "AND COALESCE(touching_memory.scope, 'workspace')!='session' " @@ -9637,16 +9646,16 @@ def temporal_ghost(row: Any) -> bool: # bounded candidate scan intentionally omits private rows from its result set. entity_sql += " AND (NOT EXISTS (SELECT 1 FROM edges hidden_edge " entity_sql += ( - "WHERE hidden_edge.workspace_id=? " - "AND (hidden_edge.src=entity.id OR hidden_edge.dst=entity.id) " + "WHERE ((hidden_edge.workspace_id=? AND hidden_edge.src=entity.id) " + "OR (hidden_edge.workspace_id=? AND hidden_edge.dst=entity.id)) " "AND (hidden_edge.ingested_at IS NULL OR hidden_edge.ingested_at<=?)) " "OR EXISTS (SELECT 1 FROM edges public_edge " ) - entity_params.extend((wid, known_t)) + entity_params.extend((wid, wid, known_t)) if not include_history: entity_sql += ( - "WHERE public_edge.workspace_id=? " - "AND (public_edge.src=entity.id OR public_edge.dst=entity.id) " + "WHERE ((public_edge.workspace_id=? AND public_edge.src=entity.id) " + "OR (public_edge.workspace_id=? AND public_edge.dst=entity.id)) " "AND (public_edge.valid_from IS NULL OR public_edge.valid_from<=?) " "AND (public_edge.valid_to IS NULL OR ? bool: "AND COALESCE(public_memory.scope, 'workspace')!='session')))" ) entity_params.extend(( - wid, t, t, t, known_t, known_t, + wid, wid, t, t, t, known_t, known_t, t, t, t, known_t, known_t, wid, t, t, t, known_t, known_t, )) else: entity_sql += ( - "WHERE public_edge.workspace_id=? " - "AND (public_edge.src=entity.id OR public_edge.dst=entity.id) " + "WHERE ((public_edge.workspace_id=? AND public_edge.src=entity.id) " + "OR (public_edge.workspace_id=? AND public_edge.dst=entity.id)) " "AND (public_edge.valid_from IS NULL OR public_edge.valid_from<=?) " "AND (public_edge.ingested_at IS NULL OR public_edge.ingested_at<=?) " "AND (public_edge.expired_at IS NULL OR ? bool: "OR ? Date: Mon, 28 Sep 2026 20:28:25 -0400 Subject: [PATCH 40/64] Separate relocation policy from bounded transactional storage operations --- BENCHMARKS.md | 780 ++-- CHANGELOG.md | 3520 +++++++++-------- README.md | 1768 ++++----- .../offline-fixtures-v102.json | 692 ++++ .../offline-fixtures-v102.json.sha256 | 1 + docs/images/context-efficiency.svg | 4 +- .../images/evidence-backed-agent-examples.svg | 4 +- engraphis/core/interfaces.py | 103 + engraphis/core/relocation.py | 233 +- engraphis/core/store.py | 232 ++ tests/test_benchmark_evidence.py | 2544 ++++++------ tests/test_documentation_contracts.py | 632 +-- tests/test_relocation_protocol.py | 234 ++ 13 files changed, 5930 insertions(+), 4817 deletions(-) create mode 100644 docs/benchmark-evidence/offline-fixtures-v102.json create mode 100644 docs/benchmark-evidence/offline-fixtures-v102.json.sha256 create mode 100644 tests/test_relocation_protocol.py diff --git a/BENCHMARKS.md b/BENCHMARKS.md index cb48e80d..c5636590 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -1,15 +1,15 @@ -# Benchmarks - -This guide explains what Engraphis measures, how to reproduce each evaluation, and the limits of -those results. When this document and the code disagree, the code is the source of truth. - -The current expansion has a separate [results and workload report](docs/BENCHMARK_EXPANSION_RESULTS.md), -[execution runbook](docs/BENCHMARK_EXPANSION_RUNBOOK.md), and -[proposed stage budgets](docs/BENCHMARK_STAGE_BUDGETS.md). Completed external retrieval diagnostics +# Benchmarks + +This guide explains what Engraphis measures, how to reproduce each evaluation, and the limits of +those results. When this document and the code disagree, the code is the source of truth. + +The current expansion has a separate [results and workload report](docs/BENCHMARK_EXPANSION_RESULTS.md), +[execution runbook](docs/BENCHMARK_EXPANSION_RUNBOOK.md), and +[proposed stage budgets](docs/BENCHMARK_STAGE_BUDGETS.md). Completed external retrieval diagnostics are review artifacts with explicit denominators and uncertainty. The coding pilot uses Codex OAuth only and retains fixture exclusions and interrupted calls. Official QA, competitor scores and capacity qualification remain separate experiments. - + For the locked operator sequence for a public canonical run, see [`docs/PUBLIC_BENCHMARK_RUNBOOK.md`](docs/PUBLIC_BENCHMARK_RUNBOOK.md). @@ -21,10 +21,10 @@ Smart/Classic/service write paths, and `retrieval_recipe="conversation"` or `"lo for the measured depth/budget starting points. `"legacy"` packing and `"default"` retrieval remain the defaults until development, validation and untouched-holdout gates show a workload-specific benefit. - -`python -m eval.evidence_contracts` checks exact-action validation and compares -legacy and coverage packing on small deterministic development fixtures. It runs -in the full offline CI matrix and the NumPy-only Python 3.9 job. These fixtures + +`python -m eval.evidence_contracts` checks exact-action validation and compares +legacy and coverage packing on small deterministic development fixtures. It runs +in the full offline CI matrix and the NumPy-only Python 3.9 job. These fixtures test boundary correctness; they do not estimate external QA or model task success. The [current diagnostic](docs/benchmark-evidence/evidence-contracts-20260921-v11.json) withholds the unchanged oversized, unpunctuated fixture at its 24-token budget: @@ -92,44 +92,44 @@ retain `unknown` provenance unless explicitly bound. These checks protect result interpretation and do not count as additional benchmark-quality gains. ### Public numeric evidence registry - + Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v90.json`](docs/benchmark-evidence/offline-fixtures-v90.json) artifact. Its +[`offline-fixtures-v102.json`](docs/benchmark-evidence/offline-fixtures-v102.json) artifact. Its SHA-256 is -`3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566`, also recorded in the +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`, also recorded in the adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, or per-record content fingerprints. The fixture-suite digest is -`14e6f930a1c7f2ec1ed5ca7ef018026bf6c15972de08ff6bc2d27f299f59a108`. The artifact defines -the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID -also binds its exact command through `sha256(UTF-8 exact command)`: - -| Evidence ID | Exact command | Config digest | -|---|---|---| -| `offline-chunking` | `python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5` | `c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8` | -| `offline-performance` | `python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json` | `bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7` | -| `offline-grounded` | `python -m eval.grounded` | `590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f` | - -External, model-dependent, latency, consolidation, and productivity numbers are not included in -this offline registry unless a redacted immutable artifact with the same three bindings exists. Use -the [public benchmark runbook](docs/PUBLIC_BENCHMARK_RUNBOOK.md) to produce registry evidence. -Completed retrieval-only diagnostics are documented separately in the -[benchmark expansion results](docs/BENCHMARK_EXPANSION_RESULTS.md); absence from this registry -means no number is claimed in this offline registry. - -The context-efficiency chart is generated from the registry values and the selected report schema. -Historical LoCoMo, graph, handoff, consolidation, and security figures remain preserved in their -source artifacts but are omitted from the current chart until each has a matching immutable, -public-safe artifact. The chart labels coding outcomes, external datasets, and operational -capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v90.json --output docs/images/context-efficiency.svg` after selecting the report to publish. +`f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3`. The artifact defines +the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID +also binds its exact command through `sha256(UTF-8 exact command)`: + +| Evidence ID | Exact command | Config digest | +|---|---|---| +| `offline-chunking` | `python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5` | `c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8` | +| `offline-performance` | `python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json` | `bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7` | +| `offline-grounded` | `python -m eval.grounded` | `590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f` | + +External, model-dependent, latency, consolidation, and productivity numbers are not included in +this offline registry unless a redacted immutable artifact with the same three bindings exists. Use +the [public benchmark runbook](docs/PUBLIC_BENCHMARK_RUNBOOK.md) to produce registry evidence. +Completed retrieval-only diagnostics are documented separately in the +[benchmark expansion results](docs/BENCHMARK_EXPANSION_RESULTS.md); absence from this registry +means no number is claimed in this offline registry. + +The context-efficiency chart is generated from the registry values and the selected report schema. +Historical LoCoMo, graph, handoff, consolidation, and security figures remain preserved in their +source artifacts but are omitted from the current chart until each has a matching immutable, +public-safe artifact. The chart labels coding outcomes, external datasets, and operational +capacity as pending evaluation tracks rather than implying scores. Regenerate it with +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/context-efficiency.svg` after selecting the report to publish. The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v90.json --output docs/images/evidence-backed-agent-examples.svg`. -The historical-to-executable mapping is in -[`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). - +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/evidence-backed-agent-examples.svg`. +The historical-to-executable mapping is in +[`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). + Fresh diagnostics retain explicit source-case identities so confidence intervals cluster whole conversations even when question IDs do not encode their case. Metrics with no eligible questions remain `null` (unscored), including fresh and @@ -137,176 +137,176 @@ resumed runs. Artifact parsing, checksum validation, and queue receipts bind the same byte snapshot. Comparisons require consistent dataset and repair bindings while allowing the producer implementation to change between versions. -## What we measure today (all offline, no API key) - -Most Engraphis evals score **retrieval**, not end-to-end QA. The separate productivity benchmark -runs a complete offline agent attempt and correction loop, but it is not an official -frontier-model QA score. - -- **Correctness gate**: `eval/harness.py` over `eval/datasets/sample.jsonl` and - `codemem.jsonl` (conflict resolution) and `graph_multihop.jsonl` (multi-hop graph recall). - Runs on the deterministic embedder, so it is a plumbing/regression floor, not a public - performance claim. This is the gate CI enforces. -- **Ablation**: `eval/ablation.py`: vector-only vs. 1-hop graph vs. Personalized-PageRank arm, - to show the graph arm actually earns its place. -- **External benchmarks**: `eval/external.py` loads **LoCoMo** and **LongMemEval** and pushes - them through the *real* `MemoryEngine` write path (conflict resolution + evolution) and hybrid - recall with a real sentence-transformers embedder. It reports `recall_at_k` / `hit_at_k` / - `answer_token_recall`: i.e. *did the evidence come back*, not *did an LLM answer correctly*. - It retains source categories and abstention/no-evidence questions as explicit exclusions from - retrieval-only aggregates rather than silently dropping them. `eval.longmemeval_v2` is a local, - text-only adapter for the official LongMemEval-V2 `insert(trajectory)` / `query(query, - query_image=None)` memory interface; it does not download data or call a model. -- **Grounded**: `eval/grounded.py`: answerable → cite, off-topic → abstain. Exact fixture - outcomes are evidence ID `offline-grounded` in the registry above. -- **Chunking (quality per token)**: `eval/chunking_eval.py` over `eval/datasets/longdoc.jsonl` - ingests a multi-topic corpus twice: once as one memory per document (`whole`) and once with - sub-file `ChunkingExtractor` (`chunked`), then queries both through the real recall pipeline. - The checked-in corpus is explicitly marked trusted eval data so the measurement isolates - chunking from the production trust gate, which excludes arbitrary raw imports from normal - agent context. On the deterministic embedder, **recall@5 is 1.000 for both modes; mean - retrieved top-5 content falls from 740.3 to 214.3 tokens (526.0 fewer, 71.1% lower, about - 3.5× smaller), while the smallest returned evidence-holding memory falls from 162.2 to 42.4 - tokens (119.8 fewer, 73.9% lower, about 3.8× smaller).** These aggregates are evidence ID - `offline-chunking` in the registry above. Pass `--embed-model - sentence-transformers/all-MiniLM-L6-v2` to run a model-dependent experiment; do not publish - that result without a new immutable artifact and pinned model revision. -- **Full-pipeline latency + quality**: `eval/performance.py` times the shipped semantic + - lexical + graph + fusion + scoring + rerank + packing path after warmup, with reinforcement - disabled so repeated measurements do not mutate their corpus. It reports p50/p95/p99 latency, - retrieval quality, packed context tokens, and full/compact JSON-shape payload proxies in one - JSON-safe schema. Its legacy `quality` fields score all candidate chunks returned before - context packing; additive `packed_quality` fields score only chunks admitted to reader context. - Payload proxies are sampled once per question, independently of the number of timed iterations; - they are not serialized MCP envelopes or transport responses. In the +## What we measure today (all offline, no API key) + +Most Engraphis evals score **retrieval**, not end-to-end QA. The separate productivity benchmark +runs a complete offline agent attempt and correction loop, but it is not an official +frontier-model QA score. + +- **Correctness gate**: `eval/harness.py` over `eval/datasets/sample.jsonl` and + `codemem.jsonl` (conflict resolution) and `graph_multihop.jsonl` (multi-hop graph recall). + Runs on the deterministic embedder, so it is a plumbing/regression floor, not a public + performance claim. This is the gate CI enforces. +- **Ablation**: `eval/ablation.py`: vector-only vs. 1-hop graph vs. Personalized-PageRank arm, + to show the graph arm actually earns its place. +- **External benchmarks**: `eval/external.py` loads **LoCoMo** and **LongMemEval** and pushes + them through the *real* `MemoryEngine` write path (conflict resolution + evolution) and hybrid + recall with a real sentence-transformers embedder. It reports `recall_at_k` / `hit_at_k` / + `answer_token_recall`: i.e. *did the evidence come back*, not *did an LLM answer correctly*. + It retains source categories and abstention/no-evidence questions as explicit exclusions from + retrieval-only aggregates rather than silently dropping them. `eval.longmemeval_v2` is a local, + text-only adapter for the official LongMemEval-V2 `insert(trajectory)` / `query(query, + query_image=None)` memory interface; it does not download data or call a model. +- **Grounded**: `eval/grounded.py`: answerable → cite, off-topic → abstain. Exact fixture + outcomes are evidence ID `offline-grounded` in the registry above. +- **Chunking (quality per token)**: `eval/chunking_eval.py` over `eval/datasets/longdoc.jsonl` + ingests a multi-topic corpus twice: once as one memory per document (`whole`) and once with + sub-file `ChunkingExtractor` (`chunked`), then queries both through the real recall pipeline. + The checked-in corpus is explicitly marked trusted eval data so the measurement isolates + chunking from the production trust gate, which excludes arbitrary raw imports from normal + agent context. On the deterministic embedder, **recall@5 is 1.000 for both modes; mean + retrieved top-5 content falls from 740.3 to 214.3 tokens (526.0 fewer, 71.1% lower, about + 3.5× smaller), while the smallest returned evidence-holding memory falls from 162.2 to 42.4 + tokens (119.8 fewer, 73.9% lower, about 3.8× smaller).** These aggregates are evidence ID + `offline-chunking` in the registry above. Pass `--embed-model + sentence-transformers/all-MiniLM-L6-v2` to run a model-dependent experiment; do not publish + that result without a new immutable artifact and pinned model revision. +- **Full-pipeline latency + quality**: `eval/performance.py` times the shipped semantic + + lexical + graph + fusion + scoring + rerank + packing path after warmup, with reinforcement + disabled so repeated measurements do not mutate their corpus. It reports p50/p95/p99 latency, + retrieval quality, packed context tokens, and full/compact JSON-shape payload proxies in one + JSON-safe schema. Its legacy `quality` fields score all candidate chunks returned before + context packing; additive `packed_quality` fields score only chunks admitted to reader context. + Payload proxies are sampled once per question, independently of the number of timed iterations; + they are not serialized MCP envelopes or transport responses. In the registered CodeMem run, 26 payload samples total **24,590** full-proxy `engraphis.regex.v1` tokens versus **11,138** compact-proxy tokens, avoiding **13,452** proxy tokens (**54.71% lower**), while 260 recalls are timed. Packed context across the same 26 - samples averages **85.38** tokens and reaches **108** under a 1,500-token cap; Recall@5, - hit@5, and answer-token recall remain 1.000 for the legacy candidate-page view. The registered - v9 artifact predates `packed_quality`, so no packed-quality aggregate is published from it. - These aggregates are evidence ID - `offline-performance` in the registry above. `--filler-memories`, `--candidate-k`, and - `--retrieval-profile` make scaling and routing experiments executable, but their results need - separate evidence before publication. -- **Exact vector scale envelope**: `eval/vector_scale.py` measures the production - `NumpyVectorIndex` directly at requested corpus sizes with deterministic normalized vectors and - queries. It records a corpus fingerprint, result hashes, environment, and observed - p50/p95/p99 search envelopes. It intentionally has no pass/fail latency threshold: the output - describes the measured machine and workload, not a universal capacity cutoff. Pair it with - `eval/performance.py` before making a deployment decision because direct vector search excludes - the rest of the recall pipeline. Its `engraphis-vector-scale/v1` JSON is a local diagnostic, not - an `engraphis-benchmark/v2` public evidence artifact. -- **Proactive ranking calibration**: `eval/proactive_ranking.py` compares the previous and current - importance-retention floors on a small deterministic queryless-ranking fixture. It reports - top-1 accuracy and minimum expected margins for that fixture only. It is a scoring regression, - not evidence of general recall quality or user-task performance. -- **Workload context economy**: `eval/context_economy.py` compares three executable strategies - across every question in a workload: uncapped full-history replay, a contiguous recency window - at the same hard budget, and shipped Engraphis hybrid recall + packing. It reports evidence and - answer-token quality, cumulative reader-context tokens, a conservative total that charges one - complete source-token pass to indexing, and the query-count break-even point. The default is - deterministic/offline; `--embed-model` enables a real retrieval model, while - `--format locomo|longmemeval` reuses the established external loaders. -- **Agent productivity**: `eval/productivity.py` compares a capped full-history baseline, - always-on retrieval, and - adaptive context through a complete answer-and-correction loop. It reports completed tasks, - first-attempt errors, abstentions, corrections, agent turns, memory calls, wall-clock latency, - and all question/context/output tokens. The bundled agent is deterministic, receives no gold - answer, and is identified in every report; inject a real agent callable for model-specific - results. Optional provider telemetry is reported separately from the deterministic token - counter and is not a provider billing estimate. -- **Dashboard graph layout settle**: `eval/graph_every_bench.py` drives the Every-node - dashboard engine's real worker (`engraphis-graph-every-worker.js`) through a - `prepare → settled` round-trip over synthetic node/link loads and reports wall-clock settle - time plus the scaling ratio across sizes. It measures initial layout cost only: camera pans - and zooms never touch the worker (they are GPU-uniform updates), so no per-frame number can - come out of this harness and none should be quoted. Results are host- and Node-version - dependent local diagnostics, not registered public evidence; run the harness on the target - class of machine before quoting a figure. - -The context-economy and productivity tools intentionally report when a small workload does not -benefit from memory, and the external loaders expose retrieval-quality tradeoffs rather than -hiding them. Their prior local results are not retained as public numbers because no matching -redacted immutable artifact is checked in. Run the registered protocol and publish the resulting -artifact before making a quantitative claim. - -### Reproduce - -```bash -# Correctness gate (deterministic, no download) -python -m pytest tests/ -q -python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5 -python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5 -python -m eval.harness --dataset eval/datasets/graph_multihop.jsonl --k 5 -python -m eval.ablation -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ - --candidate-k 25 --candidate-depth adaptive --retrieval-profile auto --iterations 10 -python -m eval.context_economy --dataset eval/datasets/codemem.jsonl \ - --token-budget 512 --k 5 -python -m eval.productivity --dataset eval/datasets/codemem.jsonl \ - --max-context-tokens 512 --retrieval-token-budget 256 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ - --iterations 5 --filler-memories 1000 -# Direct NumPy search envelope at representative corpus sizes; timings are machine-specific. -python -m eval.vector_scale --sizes 1000,10000,100000 --queries 20 --iterations 3 --json -# Deterministic queryless-ranking calibration fixture. -python -m eval.proactive_ranking -# Canonical latency/resource protocol: requires >=1,000 queries and five processes. -python -m eval.performance --dataset fixed-1000-plus.jsonl --acceptance-matrix --processes 5 - -# External retrieval diagnostics (downloads all-MiniLM-L6-v2; not QA/leaderboard results) -python -m eval.external --dataset longmemeval_s.json --format longmemeval --k 10 -python -m eval.external --dataset locomo10.json --format locomo --k 10 -# Complete external-dataset coverage with an immutable embedding revision. These runs are -# retrieval-only diagnostics, not official benchmark-harness or leaderboard results. Completed -# public-safe artifacts and measured results are listed in the benchmark expansion report. -python -m eval.external --dataset longmemeval_s.json --format longmemeval --canonical \ - --embed-revision <40-character-model-commit> --json external-longmemeval.json -python -m eval.external --dataset locomo10.json --format locomo --canonical --no-resolve \ - --embed-revision <40-character-model-commit> \ - --locomo-repair-manifest eval/datasets/locomo10_repair_manifest.json \ - --json external-locomo.json -python -m eval.context_economy --dataset locomo10.json --format locomo \ - --embed-model sentence-transformers/all-MiniLM-L6-v2 --token-budget 512 --k 10 --no-resolve -``` - -Canonical external mode requires an exact lowercase 40-character embedding commit and a semantic -embedder; dependency or model-load failure is fatal instead of silently falling back to hashing. -Every report records `embedding`, `dataset_sha256`, `source_cases`, `normalized_cases`, and -`configuration` provenance so a result can be attributed to the actual data and retrieval setup. - -The official ten-conversation LoCoMo JSON contains delimiter-packed IDs, two mechanical ID -typos, and three references that cannot be normalized syntactically. The adapter normalizes only -the unambiguous forms. The checked-in repair manifest is bound to the official source SHA-256, -names every remaining replacement/removal, must be fully consumed, and is recorded in the JSON -report with its own hash. Any source update, unused repair, or unresolved ID fails the run. This -repairs retrieval references only; it does not claim to correct LoCoMo's semantic answer labels. - -The earlier private pinned retrieval diagnostic was the pre-publication state. Current complete -LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts in the -[benchmark expansion report](docs/BENCHMARK_EXPANSION_RESULTS.md), with source, model, configuration -and checksum boundaries. Those values remain evidence-retrieval metrics, not end-to-end QA accuracy -or an official LoCoMo leaderboard score. - -## What we do NOT yet claim - -- **No official end-to-end LLM QA accuracy.** The deterministic productivity agent measures the - complete local control loop, not a frontier answering model. Official LoCoMo / LongMemEval QA - still requires a pinned answering model and evaluator. -- **No hosted-service latency comparison.** The in-repo p50/p95/p99 benchmark covers the local - reference pipeline and records its environment; unlike environments are not compared. -- **No neutral third-party ranking.** We have not run an external eval platform. -- **No provider bill estimate.** Context-economy counts reader evidence under its named counter. - It excludes system/tool prompts, questions, completions, prompt caching, provider pricing, - compute, and storage. Its indexing-inclusive total is a conservative text-volume proxy. - -Every publishable run should emit the `engraphis-benchmark/v2` envelope: dataset/config hashes, -per-question records, explicit exclusions, fixed-budget context curves, and deterministic -stratified or paired bootstrap confidence intervals. Every run names its token counter. -Noncanonical offline fixtures may identify a deterministic estimate; canonical public evidence -requires the exact pinned reader tokenizer and immutable model revision. The lightweight CI + samples averages **85.38** tokens and reaches **108** under a 1,500-token cap; Recall@5, + hit@5, and answer-token recall remain 1.000 for the legacy candidate-page view. The registered + v9 artifact predates `packed_quality`, so no packed-quality aggregate is published from it. + These aggregates are evidence ID + `offline-performance` in the registry above. `--filler-memories`, `--candidate-k`, and + `--retrieval-profile` make scaling and routing experiments executable, but their results need + separate evidence before publication. +- **Exact vector scale envelope**: `eval/vector_scale.py` measures the production + `NumpyVectorIndex` directly at requested corpus sizes with deterministic normalized vectors and + queries. It records a corpus fingerprint, result hashes, environment, and observed + p50/p95/p99 search envelopes. It intentionally has no pass/fail latency threshold: the output + describes the measured machine and workload, not a universal capacity cutoff. Pair it with + `eval/performance.py` before making a deployment decision because direct vector search excludes + the rest of the recall pipeline. Its `engraphis-vector-scale/v1` JSON is a local diagnostic, not + an `engraphis-benchmark/v2` public evidence artifact. +- **Proactive ranking calibration**: `eval/proactive_ranking.py` compares the previous and current + importance-retention floors on a small deterministic queryless-ranking fixture. It reports + top-1 accuracy and minimum expected margins for that fixture only. It is a scoring regression, + not evidence of general recall quality or user-task performance. +- **Workload context economy**: `eval/context_economy.py` compares three executable strategies + across every question in a workload: uncapped full-history replay, a contiguous recency window + at the same hard budget, and shipped Engraphis hybrid recall + packing. It reports evidence and + answer-token quality, cumulative reader-context tokens, a conservative total that charges one + complete source-token pass to indexing, and the query-count break-even point. The default is + deterministic/offline; `--embed-model` enables a real retrieval model, while + `--format locomo|longmemeval` reuses the established external loaders. +- **Agent productivity**: `eval/productivity.py` compares a capped full-history baseline, + always-on retrieval, and + adaptive context through a complete answer-and-correction loop. It reports completed tasks, + first-attempt errors, abstentions, corrections, agent turns, memory calls, wall-clock latency, + and all question/context/output tokens. The bundled agent is deterministic, receives no gold + answer, and is identified in every report; inject a real agent callable for model-specific + results. Optional provider telemetry is reported separately from the deterministic token + counter and is not a provider billing estimate. +- **Dashboard graph layout settle**: `eval/graph_every_bench.py` drives the Every-node + dashboard engine's real worker (`engraphis-graph-every-worker.js`) through a + `prepare → settled` round-trip over synthetic node/link loads and reports wall-clock settle + time plus the scaling ratio across sizes. It measures initial layout cost only: camera pans + and zooms never touch the worker (they are GPU-uniform updates), so no per-frame number can + come out of this harness and none should be quoted. Results are host- and Node-version + dependent local diagnostics, not registered public evidence; run the harness on the target + class of machine before quoting a figure. + +The context-economy and productivity tools intentionally report when a small workload does not +benefit from memory, and the external loaders expose retrieval-quality tradeoffs rather than +hiding them. Their prior local results are not retained as public numbers because no matching +redacted immutable artifact is checked in. Run the registered protocol and publish the resulting +artifact before making a quantitative claim. + +### Reproduce + +```bash +# Correctness gate (deterministic, no download) +python -m pytest tests/ -q +python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5 +python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5 +python -m eval.harness --dataset eval/datasets/graph_multihop.jsonl --k 5 +python -m eval.ablation +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ + --candidate-k 25 --candidate-depth adaptive --retrieval-profile auto --iterations 10 +python -m eval.context_economy --dataset eval/datasets/codemem.jsonl \ + --token-budget 512 --k 5 +python -m eval.productivity --dataset eval/datasets/codemem.jsonl \ + --max-context-tokens 512 --retrieval-token-budget 256 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ + --iterations 5 --filler-memories 1000 +# Direct NumPy search envelope at representative corpus sizes; timings are machine-specific. +python -m eval.vector_scale --sizes 1000,10000,100000 --queries 20 --iterations 3 --json +# Deterministic queryless-ranking calibration fixture. +python -m eval.proactive_ranking +# Canonical latency/resource protocol: requires >=1,000 queries and five processes. +python -m eval.performance --dataset fixed-1000-plus.jsonl --acceptance-matrix --processes 5 + +# External retrieval diagnostics (downloads all-MiniLM-L6-v2; not QA/leaderboard results) +python -m eval.external --dataset longmemeval_s.json --format longmemeval --k 10 +python -m eval.external --dataset locomo10.json --format locomo --k 10 +# Complete external-dataset coverage with an immutable embedding revision. These runs are +# retrieval-only diagnostics, not official benchmark-harness or leaderboard results. Completed +# public-safe artifacts and measured results are listed in the benchmark expansion report. +python -m eval.external --dataset longmemeval_s.json --format longmemeval --canonical \ + --embed-revision <40-character-model-commit> --json external-longmemeval.json +python -m eval.external --dataset locomo10.json --format locomo --canonical --no-resolve \ + --embed-revision <40-character-model-commit> \ + --locomo-repair-manifest eval/datasets/locomo10_repair_manifest.json \ + --json external-locomo.json +python -m eval.context_economy --dataset locomo10.json --format locomo \ + --embed-model sentence-transformers/all-MiniLM-L6-v2 --token-budget 512 --k 10 --no-resolve +``` + +Canonical external mode requires an exact lowercase 40-character embedding commit and a semantic +embedder; dependency or model-load failure is fatal instead of silently falling back to hashing. +Every report records `embedding`, `dataset_sha256`, `source_cases`, `normalized_cases`, and +`configuration` provenance so a result can be attributed to the actual data and retrieval setup. + +The official ten-conversation LoCoMo JSON contains delimiter-packed IDs, two mechanical ID +typos, and three references that cannot be normalized syntactically. The adapter normalizes only +the unambiguous forms. The checked-in repair manifest is bound to the official source SHA-256, +names every remaining replacement/removal, must be fully consumed, and is recorded in the JSON +report with its own hash. Any source update, unused repair, or unresolved ID fails the run. This +repairs retrieval references only; it does not claim to correct LoCoMo's semantic answer labels. + +The earlier private pinned retrieval diagnostic was the pre-publication state. Current complete +LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts in the +[benchmark expansion report](docs/BENCHMARK_EXPANSION_RESULTS.md), with source, model, configuration +and checksum boundaries. Those values remain evidence-retrieval metrics, not end-to-end QA accuracy +or an official LoCoMo leaderboard score. + +## What we do NOT yet claim + +- **No official end-to-end LLM QA accuracy.** The deterministic productivity agent measures the + complete local control loop, not a frontier answering model. Official LoCoMo / LongMemEval QA + still requires a pinned answering model and evaluator. +- **No hosted-service latency comparison.** The in-repo p50/p95/p99 benchmark covers the local + reference pipeline and records its environment; unlike environments are not compared. +- **No neutral third-party ranking.** We have not run an external eval platform. +- **No provider bill estimate.** Context-economy counts reader evidence under its named counter. + It excludes system/tool prompts, questions, completions, prompt caching, provider pricing, + compute, and storage. Its indexing-inclusive total is a conservative text-volume proxy. + +Every publishable run should emit the `engraphis-benchmark/v2` envelope: dataset/config hashes, +per-question records, explicit exclusions, fixed-budget context curves, and deterministic +stratified or paired bootstrap confidence intervals. Every run names its token counter. +Noncanonical offline fixtures may identify a deterministic estimate; canonical public evidence +requires the exact pinned reader tokenizer and immutable model revision. The lightweight CI fixtures validate that machinery; they are not a claim about external benchmark performance. Public journey and external retrieval exports identify producer code by unique @@ -316,183 +316,183 @@ LongMemEval-V2 inputs use stable role names such as `inputs/dataset` or Each name remains bound to its SHA-256 and byte count. The shared envelope keeps basename-only defaults for other callers and historical artifacts; exporters opt in with explicit `source_names` and verify the completed envelope against evaluated bytes. - -The benchmark context metric reads strict recall usage fields rather than inferring prompt size: -`budget_tokens`, `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, -`packed_count`, `omitted_count`, and `token_counter`. Use `engraphis_recall_context` for a -hard-budget prompt packet; legacy `engraphis_recall` remains available in full or compact response -mode for compatibility. - -### Canonical public artifacts - -Use `python -m eval.benchmark --input report.json --output artifacts/run.json` to validate a -report and write sorted, immutable JSON plus `run.json.sha256`. The command permits an identical -retry but refuses to replace a different artifact at the same path. For an official -LongMemEval-V2 run, add `--canonical`: this requires a profile with an exact benchmark repository -revision, dataset revision, reader model revision, and embedding model revision. The checked-in -profile pins immutable upstream commits; replacing any revision with a mutable tag fails -validation. Canonical profiles label the baseline (`no_retrieval`, `lexical_only`, `dense_only`, -`dense_lexical_rrf`, `full_hybrid`, `full_history`, `no_graph`, `no_reranker`, -`no_temporal_resolution`, or `whole_document`) and declare the required fixed context-budget -matrix: 256, 512, 1024, 2048, and 4096 tokens. Canonical in-repo reports rerun every question at -all five budgets and validate each aggregate against its per-question evidence. The checked-in -LongMemEval-V2 memory-module configuration sets the official adapter's operating point to 1,024 -tokens; that single official point must not be presented as a five-point curve. - -`eval.external --canonical` refuses `--limit` and rejects a normalized output that omitted source -cases. Retrieval-only abstention/no-evidence records remain visible in the artifact's -`exclusions`; they are not counted as evidence-retrieval scores. - -Official LongMemEval-V2 output can be converted into a public-safe QA artifact with -`python -m eval.longmemeval_v2_evidence`. The exporter requires the completion manifest written by -the pinned runner after a successful, complete official run. It binds the exact per-question -output, questions, haystack, trajectories, memory configuration, matrix manifest, seed, clean -official checkout, and recorded environment. The public artifact keeps the official QA score, -fixed-reader context token count, aggregate source-file digests, repository state, and artifact -checksum. It removes raw questions, answers, prompts, reader output, and retrieved context, and -does not publish per-record content fingerprints. See the -[`public benchmark runbook`](docs/PUBLIC_BENCHMARK_RUNBOOK.md) for the end-to-end operator sequence. - -### LongMemEval-V2 memory-module adapter - -`eval.longmemeval_v2.EngraphisLongMemEvalV2Memory` follows the official -`memory_modules.memory.Memory` interface at LongMemEval-V2 commit -`6f020ac2fc3275e46c706d3406e02c3ed79b7be2`. When imported in that environment, its -`@register_memory` decorator registers `memory_type="engraphis"`; use the checked-in -[`eval/configs/longmemeval_v2_engraphis.json`](eval/configs/longmemeval_v2_engraphis.json) -with the official harness. The config pins `Qwen/Qwen3-Embedding-8B` to revision -`1d8ad4ca9b3dd8059ad90a75d4983776a23d44af`; mutable embedding revisions are rejected, and a -canonical adapter run fails instead of relabeling the deterministic offline fallback as Qwen. -First materialize the six declared variants at all five token budgets: - -```bash -python -m eval.longmemeval_v2_matrix \ - --output "$ENGRAPHIS_EVIDENCE_RUN_DIR/configs" -``` - -This writes a 30-run manifest: balanced, planner, episodic-cap, planner-plus-episodic-cap, and -matched `context_k=2` comparators for both capped variants, each at 256, 512, 1,024, 2,048, and -4,096 evidence tokens. Run each manifest cell through `python -m eval.run_longmemeval_v2` with all -eight `--engraphis-*` completion-receipt arguments. The wrapper imports the adapter before the -official registry builds the memory module, forces the pinned reader processor revision, and -delegates the remaining official harness arguments unchanged. Only after a successful return does -it verify that the output question IDs exactly cover the source question IDs and write the -immutable execution manifest. - -The checked-in configuration is canonical only when the adapter resolves the pinned Qwen reader -processor at `c202236235762e1c871ad0ccb60c8ee5ba337b9a`. The wrapper refuses a dirty or non-pinned -official checkout and refuses to start if the optional processor dependency or immutable revision -is unavailable; the local regex counter is never silently relabeled as a reader budget. The -recorded budget counts each returned context item's content with that reader tokenizer (without -prompt framing or inter-item separators), so it is a hard **evidence-item content** budget, not a -claim about total chat-prompt tokens. Packed sources are returned as separate context items, -preserving the largest fitting evidence prefix instead of dropping one oversized monolithic item. -Every official per-question row reports inserted and retrieved counts by memory type. A -memory-type-cap claim additionally requires at least two populated inserted types, so a nominal cap -over a single-type workload cannot qualify as evidence. The adapter does not download benchmark -data or call the reader/evaluator; the official harness owns those steps. - -## External evidence status and remaining executions - -1. **Run the official LongMemEval-V2 reader and evaluator.** The adapter, pinned runner, and - redacted evidence exporter are implemented. The exact upstream commit boots in an isolated - Python 3.11 environment and the wrapper reaches the official harness CLI. The dataset, pinned - Qwen reader, and embedding assets require substantial storage and compute; no canonical QA - score is claimed until that run completes. -2. **Publish production-backend latency.** Run `eval/performance.py` with the real embedder and - sqlite-vec/backend configuration on a fixed machine class and corpus scale. -3. **Run the fixed-budget curve on the complete official datasets.** The v2 harness now measures - every question at 256, 512, 1,024, 2,048, and 4,096 evidence tokens and validates the - per-question records, aggregates, and pinned reader-tokenizer identity. Publish the curve only - after complete official runs produce immutable artifacts for every point. -4. **Run an external evaluation platform** once (1)–(3) exist. - -Do not make all evidence lanes variants of explicit factual recall. Executable offline adapters -now cover: - -- [MemoryAgentBench](https://github.com/HUST-AI-HYZ/MemoryAgentBench): incremental multi-turn - learning, long-range understanding, and conflict/consolidation inputs. -- [LoCoMo-Plus](https://github.com/xjtuleeyf/Locomo-Plus): an old implicit constraint must affect - a later response even when the later cue does not restate the remembered fact. -- [Mem2ActBench](https://github.com/Cantaloupe-M/Mem2ActBench): memory must select a tool and - ground its arguments, not merely return a passage. The current adapter measures retrieval and - expected tool-argument context coverage, not generated tool-call success. - -```bash -python -m eval.agent_benchmarks --dataset memoryagentbench.json \ - --format memoryagentbench -python -m eval.agent_benchmarks --dataset locomo_plus.json \ - --format locomo_plus -python -m eval.agent_benchmarks --dataset qa_dataset.jsonl \ - --conversations toolmem_conversation.jsonl --format mem2actbench \ - --artifact artifacts/mem2actbench.json -``` - -Use `--artifact` on any of these commands to write a redacted, immutable evidence envelope plus -an adjacent SHA256 file. The ordinary console/`--json` report is private run material and may -contain source questions for debugging. - -### Upstream-data diagnostics and publication scope - -The LoCoMo-Plus and MemoryAgentBench adapters have been exercised against upstream data and remain -queued for their own public-safe retrieval artifacts. Rerun each pending adapter with `--artifact`, -publish the redacted immutable envelope and checksum, and add its suite/config binding before -quoting a number. Mem2ActBench's declared small retrieval diagnostic is complete and has a checked-in -artifact; its exclusion and memory-cardinality figures are source-preparation metadata in the -public source lock, not product or action-success metrics. None of these lanes is an official -leaderboard, answer-quality, or marketing result. - -The MemoryAgentBench loader accepts both its aligned public JSON export and the Hugging Face -dataset-server `rows[].row` envelope. Rows without gold evidence remain useful for answer-token -coverage, but are excluded from retrieval aggregates and counted separately as -`retrieval_scored_questions`. - -For paired code-agent runs, execute the same tasks with the same model, tools, machine, and -deterministic success oracle under `full_history` and `engraphis`. Then analyze the content-free -run records with: - -```bash -python -m eval.code_agent_ab --full-history full-history.jsonl \ - --engraphis engraphis.jsonl --output paired-report.json -``` - -The analyzer rejects unmatched task IDs and different success oracles, then reports paired -bootstrap intervals for task success, input/output/tool tokens, retries, latency, and optional -cost. Its aggregate output does not echo task IDs or oracle commands. It does not launch an agent -or invent a task-success oracle. - -## Optimization experiments to run before changing defaults - -1. **Budget-aware packing**: compare full source, safe summary, sentence-aligned safe summary - excerpt, and raw-source excerpt at fixed budgets. Gate on support/answer retention and - qualifier preservation, not token count alone. -2. **Adaptive retrieval work**: `--candidate-depth adaptive` is an opt-in performance experiment. - It keeps wider graph/code pools and reduces routine lexical/balanced pools while reporting the - requested and actual depth. A local experiment motivated this option, but no public number is - retained because its machine-specific artifact is not in the evidence registry. Keep the - default fixed until complete external categories meet predeclared quality margins. -3. **Packing-pressure consolidation**: prioritize memory families that are frequently recalled, - repeatedly omitted, or costly per useful token. Count write/index/storage cost as well as later - reader-context savings. -4. **Tokenizer-aware ingestion**: implemented behind the chunk extractor. The dependency-free - default remains `engraphis.chars4.v1`; an explicitly configured Hugging Face reader tokenizer - enforces prose chunk and overlap budgets and records its identity in chunk metadata. Continue - measuring tokens-to-evidence, recall, and storage/index growth together before recommending a - model-specific default. -5. **Bulk ingestion**: add batch embedding plus a transaction-aware vector upsert path, then rerun - the complete MemoryAgentBench Test-Time Learning input. Gate this on identical stored-memory, - provenance, graph-link, and temporal-resolution outcomes, not throughput alone. -6. **Scoped caches**: benchmark query embeddings and repeat-recall results keyed by workspace, - repo, time anchors, profile, and corpus version. Test invalidation correctness before claiming - latency gains. -7. **Privacy-safe real usage**: use `engraphis_context_savings` to let each workspace inspect - aggregate source/context/saved tokens already present in content-free receipts. Keep unlike - token counters separate and require a valid receipt chain before treating totals as auditable. - -## Evaluation question - -The predeclared question is whether the full vector + lexical/BM25 + sparse PPR graph + calibrated -rerank pipeline, bi-temporal resolution, and grounded abstention produce higher evidence recall -per injected token than the registered baselines. The answer must come from a complete, -machine-readable artifact with paired confidence intervals; otherwise the release reports -“no demonstrated improvement.” + +The benchmark context metric reads strict recall usage fields rather than inferring prompt size: +`budget_tokens`, `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, +`packed_count`, `omitted_count`, and `token_counter`. Use `engraphis_recall_context` for a +hard-budget prompt packet; legacy `engraphis_recall` remains available in full or compact response +mode for compatibility. + +### Canonical public artifacts + +Use `python -m eval.benchmark --input report.json --output artifacts/run.json` to validate a +report and write sorted, immutable JSON plus `run.json.sha256`. The command permits an identical +retry but refuses to replace a different artifact at the same path. For an official +LongMemEval-V2 run, add `--canonical`: this requires a profile with an exact benchmark repository +revision, dataset revision, reader model revision, and embedding model revision. The checked-in +profile pins immutable upstream commits; replacing any revision with a mutable tag fails +validation. Canonical profiles label the baseline (`no_retrieval`, `lexical_only`, `dense_only`, +`dense_lexical_rrf`, `full_hybrid`, `full_history`, `no_graph`, `no_reranker`, +`no_temporal_resolution`, or `whole_document`) and declare the required fixed context-budget +matrix: 256, 512, 1024, 2048, and 4096 tokens. Canonical in-repo reports rerun every question at +all five budgets and validate each aggregate against its per-question evidence. The checked-in +LongMemEval-V2 memory-module configuration sets the official adapter's operating point to 1,024 +tokens; that single official point must not be presented as a five-point curve. + +`eval.external --canonical` refuses `--limit` and rejects a normalized output that omitted source +cases. Retrieval-only abstention/no-evidence records remain visible in the artifact's +`exclusions`; they are not counted as evidence-retrieval scores. + +Official LongMemEval-V2 output can be converted into a public-safe QA artifact with +`python -m eval.longmemeval_v2_evidence`. The exporter requires the completion manifest written by +the pinned runner after a successful, complete official run. It binds the exact per-question +output, questions, haystack, trajectories, memory configuration, matrix manifest, seed, clean +official checkout, and recorded environment. The public artifact keeps the official QA score, +fixed-reader context token count, aggregate source-file digests, repository state, and artifact +checksum. It removes raw questions, answers, prompts, reader output, and retrieved context, and +does not publish per-record content fingerprints. See the +[`public benchmark runbook`](docs/PUBLIC_BENCHMARK_RUNBOOK.md) for the end-to-end operator sequence. + +### LongMemEval-V2 memory-module adapter + +`eval.longmemeval_v2.EngraphisLongMemEvalV2Memory` follows the official +`memory_modules.memory.Memory` interface at LongMemEval-V2 commit +`6f020ac2fc3275e46c706d3406e02c3ed79b7be2`. When imported in that environment, its +`@register_memory` decorator registers `memory_type="engraphis"`; use the checked-in +[`eval/configs/longmemeval_v2_engraphis.json`](eval/configs/longmemeval_v2_engraphis.json) +with the official harness. The config pins `Qwen/Qwen3-Embedding-8B` to revision +`1d8ad4ca9b3dd8059ad90a75d4983776a23d44af`; mutable embedding revisions are rejected, and a +canonical adapter run fails instead of relabeling the deterministic offline fallback as Qwen. +First materialize the six declared variants at all five token budgets: + +```bash +python -m eval.longmemeval_v2_matrix \ + --output "$ENGRAPHIS_EVIDENCE_RUN_DIR/configs" +``` + +This writes a 30-run manifest: balanced, planner, episodic-cap, planner-plus-episodic-cap, and +matched `context_k=2` comparators for both capped variants, each at 256, 512, 1,024, 2,048, and +4,096 evidence tokens. Run each manifest cell through `python -m eval.run_longmemeval_v2` with all +eight `--engraphis-*` completion-receipt arguments. The wrapper imports the adapter before the +official registry builds the memory module, forces the pinned reader processor revision, and +delegates the remaining official harness arguments unchanged. Only after a successful return does +it verify that the output question IDs exactly cover the source question IDs and write the +immutable execution manifest. + +The checked-in configuration is canonical only when the adapter resolves the pinned Qwen reader +processor at `c202236235762e1c871ad0ccb60c8ee5ba337b9a`. The wrapper refuses a dirty or non-pinned +official checkout and refuses to start if the optional processor dependency or immutable revision +is unavailable; the local regex counter is never silently relabeled as a reader budget. The +recorded budget counts each returned context item's content with that reader tokenizer (without +prompt framing or inter-item separators), so it is a hard **evidence-item content** budget, not a +claim about total chat-prompt tokens. Packed sources are returned as separate context items, +preserving the largest fitting evidence prefix instead of dropping one oversized monolithic item. +Every official per-question row reports inserted and retrieved counts by memory type. A +memory-type-cap claim additionally requires at least two populated inserted types, so a nominal cap +over a single-type workload cannot qualify as evidence. The adapter does not download benchmark +data or call the reader/evaluator; the official harness owns those steps. + +## External evidence status and remaining executions + +1. **Run the official LongMemEval-V2 reader and evaluator.** The adapter, pinned runner, and + redacted evidence exporter are implemented. The exact upstream commit boots in an isolated + Python 3.11 environment and the wrapper reaches the official harness CLI. The dataset, pinned + Qwen reader, and embedding assets require substantial storage and compute; no canonical QA + score is claimed until that run completes. +2. **Publish production-backend latency.** Run `eval/performance.py` with the real embedder and + sqlite-vec/backend configuration on a fixed machine class and corpus scale. +3. **Run the fixed-budget curve on the complete official datasets.** The v2 harness now measures + every question at 256, 512, 1,024, 2,048, and 4,096 evidence tokens and validates the + per-question records, aggregates, and pinned reader-tokenizer identity. Publish the curve only + after complete official runs produce immutable artifacts for every point. +4. **Run an external evaluation platform** once (1)–(3) exist. + +Do not make all evidence lanes variants of explicit factual recall. Executable offline adapters +now cover: + +- [MemoryAgentBench](https://github.com/HUST-AI-HYZ/MemoryAgentBench): incremental multi-turn + learning, long-range understanding, and conflict/consolidation inputs. +- [LoCoMo-Plus](https://github.com/xjtuleeyf/Locomo-Plus): an old implicit constraint must affect + a later response even when the later cue does not restate the remembered fact. +- [Mem2ActBench](https://github.com/Cantaloupe-M/Mem2ActBench): memory must select a tool and + ground its arguments, not merely return a passage. The current adapter measures retrieval and + expected tool-argument context coverage, not generated tool-call success. + +```bash +python -m eval.agent_benchmarks --dataset memoryagentbench.json \ + --format memoryagentbench +python -m eval.agent_benchmarks --dataset locomo_plus.json \ + --format locomo_plus +python -m eval.agent_benchmarks --dataset qa_dataset.jsonl \ + --conversations toolmem_conversation.jsonl --format mem2actbench \ + --artifact artifacts/mem2actbench.json +``` + +Use `--artifact` on any of these commands to write a redacted, immutable evidence envelope plus +an adjacent SHA256 file. The ordinary console/`--json` report is private run material and may +contain source questions for debugging. + +### Upstream-data diagnostics and publication scope + +The LoCoMo-Plus and MemoryAgentBench adapters have been exercised against upstream data and remain +queued for their own public-safe retrieval artifacts. Rerun each pending adapter with `--artifact`, +publish the redacted immutable envelope and checksum, and add its suite/config binding before +quoting a number. Mem2ActBench's declared small retrieval diagnostic is complete and has a checked-in +artifact; its exclusion and memory-cardinality figures are source-preparation metadata in the +public source lock, not product or action-success metrics. None of these lanes is an official +leaderboard, answer-quality, or marketing result. + +The MemoryAgentBench loader accepts both its aligned public JSON export and the Hugging Face +dataset-server `rows[].row` envelope. Rows without gold evidence remain useful for answer-token +coverage, but are excluded from retrieval aggregates and counted separately as +`retrieval_scored_questions`. + +For paired code-agent runs, execute the same tasks with the same model, tools, machine, and +deterministic success oracle under `full_history` and `engraphis`. Then analyze the content-free +run records with: + +```bash +python -m eval.code_agent_ab --full-history full-history.jsonl \ + --engraphis engraphis.jsonl --output paired-report.json +``` + +The analyzer rejects unmatched task IDs and different success oracles, then reports paired +bootstrap intervals for task success, input/output/tool tokens, retries, latency, and optional +cost. Its aggregate output does not echo task IDs or oracle commands. It does not launch an agent +or invent a task-success oracle. + +## Optimization experiments to run before changing defaults + +1. **Budget-aware packing**: compare full source, safe summary, sentence-aligned safe summary + excerpt, and raw-source excerpt at fixed budgets. Gate on support/answer retention and + qualifier preservation, not token count alone. +2. **Adaptive retrieval work**: `--candidate-depth adaptive` is an opt-in performance experiment. + It keeps wider graph/code pools and reduces routine lexical/balanced pools while reporting the + requested and actual depth. A local experiment motivated this option, but no public number is + retained because its machine-specific artifact is not in the evidence registry. Keep the + default fixed until complete external categories meet predeclared quality margins. +3. **Packing-pressure consolidation**: prioritize memory families that are frequently recalled, + repeatedly omitted, or costly per useful token. Count write/index/storage cost as well as later + reader-context savings. +4. **Tokenizer-aware ingestion**: implemented behind the chunk extractor. The dependency-free + default remains `engraphis.chars4.v1`; an explicitly configured Hugging Face reader tokenizer + enforces prose chunk and overlap budgets and records its identity in chunk metadata. Continue + measuring tokens-to-evidence, recall, and storage/index growth together before recommending a + model-specific default. +5. **Bulk ingestion**: add batch embedding plus a transaction-aware vector upsert path, then rerun + the complete MemoryAgentBench Test-Time Learning input. Gate this on identical stored-memory, + provenance, graph-link, and temporal-resolution outcomes, not throughput alone. +6. **Scoped caches**: benchmark query embeddings and repeat-recall results keyed by workspace, + repo, time anchors, profile, and corpus version. Test invalidation correctness before claiming + latency gains. +7. **Privacy-safe real usage**: use `engraphis_context_savings` to let each workspace inspect + aggregate source/context/saved tokens already present in content-free receipts. Keep unlike + token counters separate and require a valid receipt chain before treating totals as auditable. + +## Evaluation question + +The predeclared question is whether the full vector + lexical/BM25 + sparse PPR graph + calibrated +rerank pipeline, bi-temporal resolution, and grounded abstention produce higher evidence recall +per injected token than the registered baselines. The answer must come from a complete, +machine-readable artifact with paired confidence intervals; otherwise the release reports +“no demonstrated improvement.” diff --git a/CHANGELOG.md b/CHANGELOG.md index eab2c711..c27bf872 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,35 +1,39 @@ -# Changelog - +# Changelog + All notable changes to Engraphis are documented here. Format loosely follows [Keep a Changelog](https://keepachangelog.com/); versions use SemVer. ## [Unreleased] +- Kept selective-memory relocation policy independent of SQL through a domain storage + protocol, with bounded reads and caller-owned transaction rollback. +- Reran the unchanged public fixtures into immutable v102 source-bound evidence. + - Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and extended the Pi dependency audit to cover its development dependencies. - Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. -- Added saved project-to-workspace routing and connection instructions so agents can use the - user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized - session or repo mapping, report the resolved destination, and reject session mismatches. -- Command Code's SessionStart hook now uses the nearest Git root's repo name, honors saved - workspace mappings unless explicitly overridden, and labels recalled context with the - server's resolved workspace. -- Added a previewed selective move workflow for organizing mixed workspaces while retaining - source history and enforcing move eligibility and workspace access. -- Hardened the experimental Cloud decision client with validated destinations, - redirect refusal, bounded responses, strict decision parsing, and read-only - result interfaces. Loopback endpoints bypass proxies and reject external DNS - destinations. Managed availability and performance remain unverified. -- Fixed the spacetime overlay's final paused frame being skipped by paint throttling. -- Enforced a Cloud request deadline across connection retries, TLS, request sends, - proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only - requests across parser versions. -- Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication queue to serialize GitHub release writes. -- Reran the public offline fixtures into immutable v88 evidence and refreshed its - source bindings, documentation, and charts. - +- Added saved project-to-workspace routing and connection instructions so agents can use the + user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized + session or repo mapping, report the resolved destination, and reject session mismatches. +- Command Code's SessionStart hook now uses the nearest Git root's repo name, honors saved + workspace mappings unless explicitly overridden, and labels recalled context with the + server's resolved workspace. +- Added a previewed selective move workflow for organizing mixed workspaces while retaining + source history and enforcing move eligibility and workspace access. +- Hardened the experimental Cloud decision client with validated destinations, + redirect refusal, bounded responses, strict decision parsing, and read-only + result interfaces. Loopback endpoints bypass proxies and reject external DNS + destinations. Managed availability and performance remain unverified. +- Fixed the spacetime overlay's final paused frame being skipped by paint throttling. +- Enforced a Cloud request deadline across connection retries, TLS, request sends, + proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only + requests across parser versions. +- Prevented retained-release waiver repairs from replacing a newer GitHub Latest + release, with a shared publication queue to serialize GitHub release writes. +- Reran the public offline fixtures into immutable v88 evidence and refreshed its + source bindings, documentation, and charts. + ## [1.7.8] - 2026-09-27 - Improved graph rendering and overlay scheduling, preserved saved Compact and custom @@ -129,1738 +133,1738 @@ All notable changes to Engraphis are documented here. Format loosely follows invalidation, alongside the existing 500-body and browser accessibility coverage. ## [1.7.2] - 2026-09-05 - -### Added - -- Added `idx_vector_index_repairs_queue` composite index on `(identity, generation, memory_id)` - in `engraphis/core/schema.py` to prevent table scans during external vector repair queue dequeue. -- Added explicit operator opt-out verification with `403 Forbidden` (`processing_operator_disabled`) - for authenticated direct POST requests to `/managed-processing` in `engraphis/routes/v2_api.py`. -- Added `_only_environment_title_order_changed` in `engraphis/core/resolve.py` ensuring unkeyed - facts with permuted environment titles resolve to `NOOP` rather than false conflicts. -- Added comprehensive reliability regression coverage covering storage concurrency, vector index - repair indexing, and managed processing policy enforcement. - -### Fixed - -- Preserved `[all]` extras fallback for legacy editable installations in `scripts/update.py` - when no installation profile is recorded. -- Fixed external vector index hydration on physical index recreation and rebuilds. -- Fixed docstring dedenting and contract normalization across Python 3.9 through 3.14. - -### Changed - -- Bumped `tree-sitter-language-pack` to 1.16.1. -- Updated `codeql-action`, `anchore/scan-action`, and `anchore/sbom-action` GitHub Actions dependencies. - -### Reliability and privacy - -- Preserve distinct context claims, qualified sentences and complete units under tight budgets; - measure false NOOP outcomes through real write sequences. -- Preserve separate sources during packing and keep MCP gist responses within the canonical - context budget. Response caps retain or omit complete context and report accurate usage. -- Canonical temporal browsing, server-side Library filtering/pagination, independent Ask states, - actionable setup diagnostics and retained installation capabilities. -- Cross-process write resolution and schema 17 durable vector-index repair, with canonical - fallback and bounded NumPy scans. Public engine entrypoints remain compatible. -- Commit native batch indexing with canonical memory state and roll back both on failure. - Retain the established 12,000-memory graph window pending quality evidence for a smaller one. -- Explicit workspace managed-processing approval; missing legacy policy pauses readable uploads. - Requires the compatible cloud migration before rollout. Encrypted sync remains separate. -- Generated Smart/Classic MCP contract and integration inputs; Pro three-day and Team ten-day - trial copy aligned with cloud authority. Real browser and Workers evidence remains distinct - from production verification. See `docs/RELIABILITY_PROGRAM.md`. -- Isolate the manual graph diagnostic on an available local port with a private in-memory - server; fail before contacting an existing service when the requested port is occupied. - -## [1.7.1] - 2026-09-03 - -### Fixed - -- Isolated stdio transport wire in `engraphis.mcp_server`: redirected `sys.stdout` - to `sys.stderr` while preserving the raw binary stream for JSON-RPC wire - communication, preventing external library stdout chatter (e.g. PyTorch, - Hugging Face, tqdm) from corrupting the wire and triggering `write EOF` stream - disconnection errors in Node.js harnesses (Command Code, Cursor, Claude Code, Cline). -- Added thread-safe singleton initialization with `threading.Lock()` to - `engraphis.mcp_server.service()`. -- Added non-blocking background daemon warmup (`_start_background_warmup()`) in - `engraphis.mcp_server` to pre-warm the database and embedder, eliminating - cold-start latency and timeout disconnects on the first MCP tool call. Can be - bypassed with `ENGRAPHIS_MCP_WARMUP=0`. -- Added cache-first fast path (`local_files_only=True`) in - `SentenceTransformerEmbedder` (`engraphis/backends/embedder_st.py`), allowing - locally cached models to initialize in ~0.3s without network calls or remote - registry checks. -- Added embedder forward-pass diagnostic check to `engraphis-init --check` and - added `engraphis-init --prefetch` command to download and cache model weights - during setup. - -## [1.7] - 2026-09-03 - -### Added - -- Smart MCP `engraphis_recall_context` default `k` raised 8 -> 50 so the token-budget - packer binds on realistic stores by default. Measured at budget=1024 against a - 49-fact store: 100% labelled-relevance retention and ~50% of the store withheld - (savings_ratio 0.0 -> 0.4975) with no caller-side arguments. The packer is the - existing 1.6 contract; the change just makes it the default fast path. -- Smart MCP `engraphis_remember` now accepts and forwards `subject_key` and - `claim_kind` to the classic tool, so the documented safe-supersession - mechanism is reachable through MCP. -- A new integration at `integrations/commandcode/session_start_hook.py` (with - `scripts/install_cc_hook.py` for idempotent user-scope install/uninstall) wires - durable-memory recall into Command Code's SessionStart lifecycle: each new - session's first turn receives bounded relevant context as `additionalContext`. - Fail-open and silent on any error. Override workspace via - `ENGRAPHIS_HOOK_WORKSPACE`; override the MCP URL via `ENGRAPHIS_MCP_URL`. -- Cross-encoder reranker (`cross-encoder/ms-marco-MiniLM-L-6-v2`) is now - reachable as an opt-in config knob (`rerank_model=` on `MemoryEngine.create` - / `ENGRAPHIS_RERANK_MODEL`). Evaluated offline on the bundled retrieval gates - (sample.jsonl, codemem.jsonl, k=5): hit@5 stays at 1.0 with zero per-question - regressions, MRR@5 lifts 0.889 -> 0.944 (sample) and 0.962 -> 0.981 (codemem), - with ~15 ms per query added. Not the default; set the value in the trusted - config file (`~/.engraphis/config.env` on the operator account, or as a - process environment variable); Engraphis deliberately does not read the - CWD `.env`, so editing `./.env` and restarting leaves the identity - reranker active. Restart the MCP server and dashboard after the change. - -### Changed - -- The reworded-correction detector in `core/resolve.py` now supersedes reworded - corrections without a stable `subject_key` when the aligned token diff shows - a same-attribute value change (e.g. "the timeout is 30 seconds" -> "we raised - the timeout to 90 seconds"). The strong-evidence branch and the rewrite_gate - branch both require a change marker (e.g. "now", "raised") to be accompanied - by a value_swap on the same shared subject, so a bare "now" can never retire - a fact it merely shares surface nouns with. Vetoes preserve coexisting - distinct facts: clashing environment qualifiers (staging vs production, - folded through `prod`/`production` and `dev`/`development` aliases so a - legitimate correction across short forms does not get vetoed), - named mixed-case identifier swaps (ProviderA -> ProviderB), and clean - noun-for-noun replacements (REST -> GraphQL docs). Measured on the - reproducible corpus shipped at - `eval/datasets/resolver_reworded_corrections.jsonl` (44 pairs, 38 - positives + 6 negatives); reproduce locally with - `python -m eval.resolver_reworded_corrections` or - `python -m eval.resolver_reworded_corrections --strict` in CI. -- The `temporal_splice` flag passed from `core/engine.py` to `resolve()` is - now narrowed to the bi-temporal backfill case (a deliberate `valid_at` - AND a `subject_key`), instead of any `valid_at`-pinned write. Scheduled - future writes stay on the present-time veto contract. - -### Fixed - -- The Smart MCP gateway `engraphis_remember` now forwards `subject_key` and - `claim_kind` end to end, matching the **Added** entry above. - -### Operational - -- The new `engraphis_recall_context` tool emits one `INFO` log per call with - workspace, k, budget, packed/omitted counts, and the call's measured ms. - Operators get visibility without changing the on-the-wire contract. - The standalone \engraphis-mcp-http\ launcher only configures the root logger when - \ENGRAPHIS_MCP_LOG\ is set to a truthy value (\ / \ rue\ / \yes\ / \info\ / - \on\); the default stays silent so the CLI keeps its quiet profile. - -- The graph's "Show all nodes" toggle is replaced by a dedicated **Every node** layout built - on a new ultra-performance engine (`engraphis-graph-every.js` + - `engraphis-graph-every-worker.js`, WebGL2-only): all geometry is uploaded once and camera - moves touch only uniforms, so pan/zoom frame cost is independent of node count up to the - 20,000-node / 200,000-relation ceilings. Zoomed-out scenes read as an additive glow - density map; edges reveal progressively by weight with gold bridges; community districts - paint as tinted region hulls with hub-derived labels; hovering or highlighting a node dims - everything outside its neighbourhood, marks its relations with directional arrows and - relation names, and shows a callout card with category, connection count, and strongest - connections. Includes two-pointer pinch zoom, keyboard browsing (arrows/+/-/F/Escape), - a screen-reader live region for scene and hover announcements, and deterministic worker - layouts that stream settling passes (measured: ~320 ms settle at 2k nodes, ~1.2 s at 20k). - Entering Every-node shows every entity regardless of overview filters; leaving restores - the person's filters. - -### Changed - -- Direct black-hole children now receive compact, deterministic orbital lanes near the black - hole instead of inheriting the farthest authored radius. Each lane keeps phase and painted - clearance, while community-child planets remain in their local moving frame; oversized Galaxy - scenes seed the same lanes before their kinematic clock starts. -- Complete Galaxy packing now uses a 4% painted-envelope clearance instead of a blanket 15% - radial allowance, keeping solar-system carriers materially denser around the black-hole - interior while preserving non-overlap. -- Explicit `orbits` links from the black hole now promote community anchors and their declared - stellar children into the central orbital carrier group, so the Orbital speed control moves - the connected nodes in both live and oversized Galaxy paths. -- Every Galaxy body now receives both motion frames: its top-level system carrier orbits the - black hole, while the body follows its immediate star/planet carrier with cached local phase; - legacy community metadata and nested moons use the same hierarchy without phase rewinds. -- Any direct black-hole edge now promotes its endpoint into the central orbital carrier group; - relation labels no longer suppress direct star/system motion. -- Galaxy physics ticks now explicitly invalidate the canvas camera, so advancing orbital - coordinates repaints visibly even when force-graph's automatic redraw loop is paused. -- Complete graph analysis now scans up to 40,000 entity rows and 200,000 raw relationships, - while the explicit all-node renderer retains its 20,000-node, 200,000-link refusal ceiling. - Live-render safety thresholds remain unchanged so oversized scenes stay on the static path. -- Show all nodes now keeps the complete sidebar live: deterministic worker layouts respond to - repel, link-distance, gravity, and advanced force controls; minimum relations, unlinked nodes, - focus depth, relation layers, ghosts, and auto-collapse filter the LOD scene without a reload. - Capped directional relation flow, reduced-motion fallbacks, visible-count status, exact-repository - code overlays, and a 200,000-link worker guard complete the release safety contract. - -- Galaxy admission now uses a tighter default carrier gap and calibrated orbital slack, keeping - more complete solar systems in the black-hole interior without sacrificing painted clearance. - -- Galaxy mode now exposes normalized controls for gravitational constant, compact black-hole - mass, independent local-solar gravity, space friction, edge-spring stiffness, and orbit - pause/play. The fixed-step Velocity Verlet field superposes black-hole carrier motion with - softened dominant-star orbits, adds bounded near-horizon frame dragging, differential tidal - stretching, and carrier-only orbital decay, preserves Hooke tethers and short-range - repulsion, and captures sub-escape drag releases into their authored star system while high - velocity releases escape. A bounded canvas layer renders the central gravity well, lens halo, - short trails, and up to 24 shallow local-star wells without adding simulation bodies. -- The dashboard Galaxy graph now caches its outer safety radius at 2× the initial painted - extent; escaped nodes are confined to that fixed envelope instead of expanding it. -- The Galaxy gravity slider now spans `0..400` while retaining the release-stable default - black-hole field of `240` and local field of `120`. Independent community stars run on a 2.5× - orbital clock and retain the calibrated default stellar well when Gravity is zero. An explicit - black hole now retains a smaller `24`-setting floor at the loose endpoint, so neither solar - systems nor their planets silently stop while the displayed control remains at zero. -- The Galaxy default orbital separation is now `60`, a 25% increase from `48`. Link and contact - projections remain contractive and correction-capped so dense layouts cannot overshoot or - ping-pong. Same-system contacts project along each declared stellar orbit so they preserve - radius and relative velocity while the dominant star remains fixed in the local system frame. -- Galaxy's `Orbital speed` control now scales local stellar rotation and whole-system rotation - around the central galaxy anchor in both live and oversized kinematic layouts. Its faster - endpoint also gives planets a modest 6% larger local orbital radius while the midpoint remains - unchanged; saved views continue using `repel`. -- Direct black-hole graph connections now classify their non-anchor nodes as black-hole - satellites, including legacy payloads without `system_anchor_id`, so those nodes rotate with - the same Orbital speed phase. -- Carrier orbit support now adopts a node's post-contact phase before advancing it, preventing - collision or boundary corrections from snapping nodes back to a stale lane angle and producing - visible jitter. -- Oversized Galaxy fallback layouts now use the complete gravity range instead of saturating near - the lower end of the slider. -- Complete Galaxy overview scenes remain expanded and physically live through 1,000 nodes and - 2,000 relations; larger Galaxy scenes and non-Galaxy full views retain the deterministic - fallback. -- Historical graph views now keep at least one ghost relation's endpoints together under - undersized node caps, and ghost evidence drilldowns resolve invalidated supporting memories - instead of a colliding live canonical alias. - -- The source-import consolidation loop now uses union-find (path halving) to merge overlapping - clusters, replacing an O(n²) nested scan with near-linear time. The `consolidation_evidence_cache` - is bounded to 1000 entries with clear-on-overflow to prevent unbounded memory growth. -- Duplicate `_is_reparse_point` implementations across 4 modules (documents, obsidian, resources, - vault) are extracted to a shared `core/fsutil.is_reparse_point` helper, eliminating code drift. -- Backend factory functions (`get_embedder`, `get_vector_index`, `get_transport`, `get_extractor`, - `get_resource_extractor`, `get_postgres_introspector`) now declare Protocol-based return types, - making the interface contract explicit and enabling static type checking. -- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string - interpolation, eliminating a fragile pattern that could theoretically be exploited if float - representation ever produced non-numeric characters. The dead `_graph_edge_visibility_sql` - helper is removed; `_graph_edge_history_visibility_sql` returns `(sql, params)` tuple. -- The dashboard graph scene endpoint (`/api/graph/scene`) now accepts a `presentation` - query parameter (`quality` or `all`); the `all` profile requests the complete entity - projection up to 20,000 nodes and 200,000 relationships with an explicit worker-backed - LOD renderer, while `quality` retains the existing overview cap. -- Galaxy overview now retains the strongest cross-community bridge edge for every visible - system pair plus every direct global-anchor link, so inter-system and black-hole - relationships appear connected instead of isolated. -- Added `docs/GRAPH_PERFORMANCE.md` documenting the two graph presentation profiles, - worker layout, progressive rendering, and the 20,000-node / 200,000-relation safety - ceilings. -- Source-import manifest paging now uses keyset (cursor) pagination instead of OFFSET, - so concurrent writes during a source re-import can no longer skip or duplicate rows - mid-scan (PR #154). -- Local file/folder imports now accept up to 1,500 files per batch (was 500), with the total - batch ceiling scaled to 750 MB so the average per-file allowance is unchanged; document-wizard - scanner ceilings move in lockstep. -- Folder imports report truncation explicitly: a folder with more matching files than the - ceiling now warns and returns `truncated`/`matched_total`/`unreadable` fields instead of - silently importing an alphabetically-first slice that looks complete. -- The `engraphis_prime_agent` integration now ships a fleet wrapper that boots multiple - sub-agents (researcher / coder / reviewer / writer) with one shared memory workspace, - with fleet-wide configuration via `ENGRAPHIS_REPO` and per-agent override via the - `repo=` argument; the `engraphis-prime-agent install` subcommand configures a target - prime-agent configuration file and `python -m engraphis_prime_agent install` - works directly from the installed wheel. - -### Fixed - -- The Every node dashboard view no longer crashes on open: a declaration-order bug in the - renderer threw during construction before anything painted. The scene canvas also keeps its - accessible role/label now instead of being hidden from assistive technology. -- Prompt-only recall now honours an opt-in `ENGRAPHIS_RECALL_ARM_CANDIDATE_K` env var (and - the matching `RecallEngine(arm_candidate_k_cap=...)` constructor argument) that clamps both - the first-page widening (`candidate_k + min(250, candidate_k*3)`) and the second-page - ceiling, so operators can trade untrusted-scope widening for latency on the new k=50 - default without code changes. The accompanying benchmark test, - `test_recall_arm_candidate_k_cap.py`, uses a 300-fact trusted corpus because both requested - arm depths clamp to the same 49 rows on a smaller corpus and the timing assertion was - unreliable. Default behaviour is unchanged. -- Import previews now page the source manifest exactly like execution, so vaults whose manifest - outgrew one list page (10k identities) no longer show manifest-only files as silently absent - from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped. - Manifest pages now use one read snapshot and de-duplicate identities that move across a - cursor while a concurrent import updates their path. -- Importing more than 1,000 files through the dashboard no longer fails with "Internal Server - Error": wizard upload routes parse multipart forms under the advertised 1,500-file ceiling - instead of Starlette's hidden 1,000-part parser default, oversized batches return a clear 413, - and large vault uploads no longer trip the dashboard's 8 MB default body limit. -- One unreadable or pathological file (locked, deep-nested JSON, concurrent writer) now degrades - to a per-file error instead of rolling back the entire import batch with a 500. -- Document/Obsidian import jobs whose worker died with the process are marked failed on the next - status poll (`worker_lease_expired`) instead of reporting `running` forever. -- Cloud-placeholder files (OneDrive Files-On-Demand) on Windows are hydrated and imported rather - than rejected as non-regular files; symlinks and junctions remain blocked. -- Galaxy layout now packs each complete solar-system envelope before orbital seeding and keeps - those envelopes separated with rigid carrier translations during live motion. Compact server - targets can no longer stack large systems near the black hole, while local planet positions, - velocities, event-horizon clearance, and the finite outer boundary remain intact. -- Galaxy hierarchy authority is now label-independent: an authored `anchor_role="global"` - selects the central mass regardless of its display name or evidence mass, while unannotated - compatibility scenes fall back deterministically through mass, rank, degree, and stable ID. -- The central black-hole adornment now advances a visible spin phase with the Galaxy physics - clock, so an otherwise satellite-free core no longer appears frozen while remaining the fixed - origin for the surrounding galaxy. -- Near-horizon curvature is now measured from each system's dominant-star carrier through a - bounded black-hole-scale band. A wide solar system can no longer be misclassified as already - inside the gravity well and have its ordinary galactic angular momentum drained. -- Galaxy systems revealed after the initial render, restored with zeroed velocity, or shown as - singletons now receive their own black-hole-frame tangential admission instead of being marked - seeded while stationary. Oversized Complete views use a bounded node-only hierarchical orbit - clock, and visible historical ghosts move as massless test particles without entering gravity, - contacts, or momentum. -- Galaxy members that appear before their eventual star, arrive through a later reveal, change - parent systems, or return with a zeroed local phase now receive one star-relative circular seed - without recoiling the dominant node. Existing healthy stellar orbits remain untouched. -- Dominant community stars now remain inertial at the centre of their moving solar-system frame. - Local gravity, stellar contact, dense separation, seeding, speed limiting, and the oversized - kinematic fallback move planets around that star instead of wobbling the star with its planets. -- Galaxy Reheat now wakes the persistent fixed-step clock without injecting bonus physics slices, - and cross-system separation is bounded so it cannot kick entire solar systems into a visible - fast-forward, ping-pong, or speed-cap pulse. -- Ledger graph reloads now retire and cache-bust a renderer that fetched successfully but failed - to register, instead of replaying the same broken asset response. -- Existing Galaxy preferences migrate only the retired `48` orbital-separation default to `60`; - deliberate custom values, including Gravity `0`, remain unchanged. -- Source-import hardening lands via separate PR #154: deterministic missing-item detection - now guards an unknown baseline instead of reporting spurious misses, denial-guard - supersession binds digests computed from the parsed record rather than raw input, - import-job finalization is generation-guarded so a stale worker cannot finalize over a - newer attempt, and the finalized-state check completes in constant time. -- Smart MCP `engraphis_session` now accepts `action="start_session"` and `action="end_session"` - (the full tool-name forms the Command Code harness sends when translating the AGENTS.md - `engraphis_start_session`/`engraphis_end_session` shorthand), normalizing them to `start`/`end` - before the pattern validation instead of rejecting them with a 400. - -### Documentation - -- `docs/LLM_PROVIDERS.md` now warns Windows users that `cmd` may resolve to `cmd.exe` - (the built-in Windows command interpreter) instead of the Command Code CLI, and explains - how to diagnose and work around the PATH collision. - -### Security - - -- HTTP error responses in `vault.py` and `service.py` no longer echo user-controlled paths back - to the client, preventing filesystem structure leakage (SEC-001). -- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string - interpolation, eliminating a fragile SQL construction pattern (SEC-002). -- The `pypdf` dependency floor is raised to `>=6.15.0` to address PYSEC-2026-3655 and - PYSEC-2026-3656 (arbitrary code execution via crafted PDF objects). - -### Removed - -- The Hermes memory-provider plugin integration (`integrations/hermes/`, its - `ENGRAPHIS_HERMES_*` environment surface, and its integration test) is withdrawn from - the repository ahead of the v1.6 tag. The provider remains available in the v1.5 - release history for anyone who already copied it. -## [1.6] - 2026-08-15 - -Minor release advancing the v2 engine through schema 16 with deterministic sync state, trusted -local document and Obsidian import, tighter trust boundaries, synchronized agent guidance, and -stronger release and evaluation evidence. - -### Changed - -- The dashboard graph now separates two explicit presentation budgets. **High quality** keeps the - interactive renderer for focused exploration, while **Show all nodes** requests the complete - entity projection and uses a worker-backed level-of-detail renderer with batched WebGL2 points, - a bounded Canvas fallback, progressive relationship disclosure, and no live force simulation. - The all-node profile supports up to 20,000 entities and 200,000 relationships; larger filtered - results fail with an explicit capacity response instead of silently sampling an incomplete graph. - Repository and entity-type filters remain the supported route for narrowing oversized views. -- The Ledger knowledge graph now defaults to evidence-mass Galaxy gravity. The `galaxy-v6` - scene contract retains the magnitude of degree, PageRank, support, and repository evidence; - one mass value determines both visibly distinct star radius and gravitational pull. Deterministic - mass-ranked cores and orbital bands form local solar systems. The highest-evidence node becomes - the central black hole, rendered at least twice the ordinary evidence radius so its event horizon - remains visible at minimum Node size. Deterministic logarithmic arms seed a non-uniform disk, and - a fixed-step leapfrog clock advances eccentric, differential system orbits through an - evidence-derived core-plus-halo potential. Gravity now treats the dominant evidence node as - the explicit black-hole source: its field is `240` at the default slider and `864` at maximum, - while local solar-system, bridge, and drag gravity receives exactly half (`120` and `432`). The - smooth response remains true-zero and monotonic, and the rest of the core community contributes - through the softened halo rather than silently inflating the black-hole node's mass. External - solar systems also exert a weaker softened mutual field on one another: nearby evidence-heavy - systems perturb each other without requiring a relation edge, while the black hole remains the - dominant galaxy-wide potential. - The controlled centre pull is also doubled, retaining an immediate radial response rather than - hiding the stronger field behind a slower projector. Galaxy dynamics no - longer depend on D3 alpha decay, render cadence, or - force-directed settling. Galactic and local-system motion now uses a `0.021328125` fixed timestep, - another 30% slower than the preceding `0.03046875` cadence, while direct pointer movement remains responsive. - Every live seed coordinate and local orbit begins another 20% inward, putting - system centers at 40% of the original Galaxy radius. While live, the black-hole frame follows a - controlled inward spiral: Gravity 0 holds the loose seeded radius, and default/maximum convergence - now advances the same inward trajectory at 70% of its immediately preceding speed. Gravity slider input also - applies an immediate, reversible system-center response without changing local geometry or velocity: - its full range spans 40% radius contraction, and default-to-maximum visibly contracts about 31% - synchronously while maximum gravity retains its 3.6x field; - outward attempts still receive a 110% radial counter-projection and can never increase their - radius. Link distance now drives same-system evidence springs with twice the prior response and - a squared scale curve. Its default is now `8`, giving connected nodes a 0.25x rest length, 75% - tighter than the preceding default, while the full range still spans 1/16x tight orbits through - 25x loose orbits without allowing - cross-system relations to collapse the galaxy. A bounded mass-weighted positional relation - constraint makes Link distance respond immediately while preserving each solar system's centre - of mass. Orbital separation now owns an explicit same-system safety envelope instead of relying - on an imperceptible softening side effect: both its positional response and cushion scale are - doubled, spanning zero added space through 30 world units while preserving evidence-mass centre - of mass and removing closing energy. Dense projections retain the requested - compact radius and report unavoidable projected overlap instead of silently expanding the disk. - Near the core, the direct close-encounter term is 25% lower and its weight moves into the smooth - halo, reducing ejection without weakening the total evidence-mass field. Legacy layouts and - `/api/graph` remain available. - -### Fixed - -- Replace the packed-disk Galaxy regression with persistent softened-Newtonian dynamics. Galaxy - phase space is isolated from Compact and other legacy layouts, angular momentum is preserved - across layout changes, and large stars are visibly distinct. A smooth evidence-mass field keeps - each solar system bound while direct star-to-star gravity supplies smaller organic perturbations; - evidence bridges remain visible provenance without injecting non-central orbital energy or - relation springs compressing the scene into a graph blob. Dragging now leaves the fixed-step - Galaxy clock live without alpha changes, global reheats, reseeding, or detaching any global force. - The pointer owns exactly one moving mass source while every live body follows its softened - inverse-square gravity, whether linked or unlinked; distance and evidence mass determine the - response, and explicit relations only strengthen it. A bounded once-per-physics-slice projection - makes nearby unlinked bodies visibly follow without teleporting, freezing the rest of the graph, - or depending on pointer-event frequency. Pointer events update only the source position and - field membership--the gravitational response is sampled by the 30 Hz physics clock. The selected - Link orbit supplies a safe periapsis, - tangential momentum is retained, and release adds no wake or impulse. Freeze remains the sole - explicit motion gate. The explicit **Reheat layout** action now gives Galaxy a finite custom- - solver relaxation burst (30 extra steps, or 12 for large live scenes) instead of merely ensuring - its already-running clock exists; repeated clicks coalesce, current orbital phase is preserved, - and no D3 alpha, random kick, or orbital reseed is introduced. -- Eliminate false Galaxy "reheating" caused by two local solvers fighting each other every tick. - Link distance and Orbital separation now share the same lower-bound target, the redundant live - velocity spring no longer injects energy alongside the positional constraint, and close-range - separation dissipates closing radial motion. Correction-distance diagnostics expose whether a - system is genuinely settling without changing its orbital phase or waking D3. -- Stabilize dense solar systems and high-degree hubs without weakening their gravity. Link and - Orbital-separation constraints now sample one immutable phase and apply one simultaneous, - mass-balanced update per node instead of stacking an update for every incident edge. Aggregate - position and contact-velocity caps prevent a hub slingshot, while a system-relative speed fuse - damps only anomalous member motion and preserves each free system's center-of-mass orbit. -- Show unlinked entities in new Ledger and Classic graph views by default so isolated evidence is - not silently omitted. The toolbar still switches to a linked-only view, and persisted user or - saved-view preferences remain authoritative. -- Keep large Galaxy scenes interactive by replacing quadratic entity-visibility scans with - set-wise privacy pruning, driving evidence lookups from the requested relation IDs, and making - Ledger retries cancel and supersede stale scene requests safely. - -### Added - -- A dependency-free, source-neutral local document importer for Markdown, plain text, - reStructuredText, HTML, JSON/JSONL, CSV/TSV, configuration/XML text, and stdlib-readable - source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB documents, with existing local - adapters for PDF text, image OCR, and explicitly local-model audio/video transcription. - `engraphis import documents` and the - dashboard’s **Import local documents** flow - provide strict previews, safe per-file reporting, resumable source manifests, temporal - re-import history, and explicit conflict choices. Obsidian remains the rich Markdown adapter. -- Offline, repeatable Obsidian-vault import with strict dry-run previews, source - safety exclusions, resumable per-note progress, temporal re-import history, and - a trusted-owner dashboard wizard that uploads only `.md` note bytes plus content-free - attachment manifests. It ships through - `engraphis import obsidian`, the `engraphis-import` console alias, and a deprecated - v1 seed-script wrapper that maps legacy namespaces to v2 workspaces. - -### Security - -- Fail closed on new `user`-scope memory writes until records carry an immutable owner identity; - preserve historical reads and the existing promotion rejection instead of presenting - workspace-bound rows as private personal memory. -- Parse bounded dotenv-style configuration without an optional runtime dependency, and load it only from the owner-private - `~/.engraphis/config.env` or an absolute owner-private file selected by - `ENGRAPHIS_ENV_FILE`; arbitrary working-directory `.env` files are not a trust boundary. -- Clarify Cloud Sync credential-origin binding, secret-manager-only unattended credentials, - version-3 rollback evidence, and the deliberately incomplete first-contact state without - claiming an untrusted relay can prove a complete device set. -- Advance through schema 15: schema 12 classifies content-free erasure markers so local-only - `never_export` markers remain private and only validated `remote_erasure` markers may cross - sync boundaries; schema 13 adds per-memory hybrid logical clocks for deterministic - descriptive-state sync and durable, content-free proof that a memory crossed a sync boundary; - schema 14 adds Obsidian collection and import manifests; schema 15 generalizes them to - source-neutral `documents` and `obsidian` adapters, preserves temporal source lineage, enforces - adapter/job and target-scope integrity, and retains only bounded, content-free per-job - format/result metadata. Schema 16 persists the optional session target on import jobs and - enforces exact session equality for source lineage and job items. -- Bind each trusted-owner dashboard document or Obsidian run to an expiring, owner-session-bound, - one-time preview token over the exact note/document bytes, attachment manifest, target, source, - and conflict policy; invalidate changed client previews and keep job polling and cancellation - bound to the workspace where the job started. -- Make read-only Store inspection write-free for SQLite and injected/SQLCipher connectors: - require injected connectors to expose `open_read_only(path)`, open existing checkpointed files - with `mode=ro&immutable=1` plus `PRAGMA query_only=ON`, and reject missing paths or active - WAL/rollback journals before a connector can create or recover state. - -### Fixed - -- Publish separately backed vector-index changes for service memory-title edits only after the - canonical Store row, FTS mirror, portable vector, audit, and commit succeed; late Store failures - publish nothing, while post-commit provider failures preserve canonical state and record - content-free repair debt. -- Defer separately backed vector-index upserts and deletes during sync until each canonical apply - batch commits, coalesce repeated IDs, publish nothing on late Store failure, and record - content-free repair debt if the provider fails after commit. -- Synchronize the portable memory skill with the live Smart nine-tool and Classic 34-tool - surfaces, including the two intentionally narrower Smart overlap schemas, trust/origin fields, - planner and response bounds, context-savings filters, receipt anchors, and expanded health - output. -- Separate append-only event rows from episodic memories in every agent guide: event rows are not - recalled, deduplicated, reinforced, or consolidated, while recallable recurring outcomes use - governed episodic memories. -- Make every documentation and image target in the PyPI long description an absolute canonical - repository URL, and add offline contracts that reject future relative-link regressions. -- Replace unregistered external and consolidation numbers in the context-efficiency image with a - checksum-bound public fixture artifact; publish exact commands plus suite/config digests and - retain only deterministic aggregates reproduced by the checked-in offline fixtures. -- Align the canonical offline gate, protocol-only `core/` boundary and outer - `engraphis/factory.py` composition root, deterministic versus entrypoint vector-backend - selection, persistent embedding identity, v1 migration repair reporting, trusted configuration, - and hosted/local boundaries across public docs. -- Remove the obsolete consolidation source-supersession option across public docs; consolidation - now exposes only the explicit clustering, archival, profile, inference, structured, LLM, time, - and level controls implemented by the engine. -- Document the official LongMemEval-V2 six-variant, five-budget execution matrix end to end, - including clean-checkout completion receipts, exact source-question coverage, privacy-safe - export binding, matched `context_k=2` comparators, and memory-type count evidence. - -### Added - -- Dashboard Settings panel and startup banner now display the running Engraphis - version, fetched from the existing `/api/info` endpoint. - -### Fixed - -- Wrap `engraphis_get_memory` post-inspect body in error-redaction try/except - matching all other Smart gateway tools, preventing internal SQL errors and - file paths from leaking through FastMCP error responses. -- Fix malformed SQLite URI on Windows in `_keyword_search` and `/api/memories` - fallback paths: use `Path.resolve().as_uri()` instead of bare string - interpolation, matching the store's URI construction. -- Apply `_graph_csv()` limit enforcement to the `/graph` endpoint's `layers` - parameter, matching all other graph endpoints. -- Log a warning when `ENGRAPHIS_LLM_EXTRA_HEADERS` contains invalid JSON - instead of silently dropping the headers. - -## [1.5] - 2026-08-04 - -Minor release advancing the v2 engine to schema 11 with governed recall recovery, -embedding-space safety, reproducible release evidence, and stronger offline memory-quality gates. - -### Security - -- Add opt-in immutable Hugging Face model provenance enforcement for remote embedding models, - rerankers, and chunk tokenizers, with revision plumbing across v2 services and local front ends; - model loaders now explicitly disable remote code execution while local paths remain supported. -- Refuse redirects in loopback startup-health and PyPI metadata probes, and treat shortcut icon - paths as data across PowerShell, macOS shells, and Linux desktop files. -- Add an offline release gate proving that quarantined, review-pending, and caller-self-approved - external content is downgraded and stays outside prompt recall, including direct poisoned - edges and pending-memory-supported edges, while trusted graph evidence remains available. -- Reject control characters in hosted access and refresh credentials, including credentials - returned during rotation, before any network or persistent-state use. -- Restrict the Inspector API to loopback clients when no API token is configured, and exclude - pending or quarantined memories from managed-cloud snapshots. -- Harden update checks with bounded, link-safe cache reads, atomic private cache writes, strict - version limits, finite timestamps, and validated HTTPS or loopback-HTTP URLs. -- Route private credential and state-file reads through one bounded, race-resistant boundary that - rejects links, reparse points, non-regular files, invalid UTF-8, and oversized input. -- Raise the optional `cryptography` floor to 50.0.0 to exclude known vulnerable releases. -- Require the patched pytest line in supported release environments and give every CI pytest - invocation a private runner-owned temporary root, including the Python 3.9 compatibility lane. - -### Fixed - -- In schema 11, migrate pre-review trusted memories to explicit approval without releasing quarantined or - ambiguous evidence; recover the exact historical local-agent service-gate downgrade and expose - content-free eligibility diagnostics when review gating causes zero-result recall. -- Replace per-backend vector version checks with one active embedding-space fingerprint, make - Sentence Transformer/API spaces durable, rebuild on every space transition (including - A -> B -> A), and disable vector recall throughout interrupted or mixed-space rebuilds. -- Describe the stable sqlite-vec backend accurately as native exact KNN, add a dedicated - `vector` install extra, require the upstream release containing the vec0 delete fix, - and let server entrypoints select it automatically with a safe NumPy fallback. -- Make contradiction supersession failure-atomic so a failed predecessor invalidation cannot - leave two live facts. -- Bound reinforcement stability and migrate existing out-of-range retention state to schema 10. -- Preserve v1 graph endpoints during migration and publish migrated databases only after a - validated staging database is complete. -- Reject partial API embedding batches instead of persisting zero-vector placeholders; give - semantic embedding spaces durable, secret-free identities; and batch SQLite vector hydration. -- Prevent CLI metadata from overriding trusted local provenance and honor the selected namespace - for grounded chat. -- Keep service replacement atomic when the prior SQLite handle cannot close, and make - authoritative cloud denials fail closed in-process before their durable state writes complete. -- Keep tag publication reachable by defining every workflow-verified release check in the public - evidence manifest, including CodeQL, reproducible distributions, and fresh artifact smokes, and - bind the evidence provenance to the completed code-security job. -- Repair GitHub releases only from the frozen, hash-verified distribution set, excluding any - publisher receipt or other unverified file left in the working distribution directory. -- Exercise both the exact tagged wheel and source distribution in clean Python 3.9 environments, - including dependency resolution, pip check, core CLI startup, and in-memory remember/recall; - declare the CI build and vulnerability-audit tool versions instead of relying on runner images. -- Eliminate duplicate NumPy vector writes and commits after ordinary remembers, embedding rebuilds, - sync application, and title re-embedding. Store-backed indexes opt out only when they share the - exact canonical Store; separately-backed and injected indexes retain explicit synchronization. -- Replace row-by-row NumPy scan hydration with one filtered, fixed-width matrix read while - preserving temporal/scope filters, malformed-dimension isolation, deterministic ties, and - immediate visibility of newly written vectors. -- Surface best-effort graph, entity-linking, evolution, conflict-repair, and index-audit failures as - per-engine rate-limited, payload-redacted warnings instead of silently suppressing operational - faults. -- Honor the configured embedding dimension, vector backend, model revisions, reranker, and encrypted - connection path consistently across every v2 front end and the sync/consolidation CLIs, preventing - an operational command from accidentally rebuilding a persisted semantic space with defaults. -- Commit standalone entity links without closing a caller-owned transaction, and make the Windows - shortcut installer retain its redacted Desktop launcher fallback when PowerShell is unavailable. -- Serialize and make Store shutdown idempotent, add context-manager and weakref-finalizer cleanup, - and keep the offline suite from loading production embedding/reranker models merely because a - developer has optional semantic dependencies installed. - -### Added - -- Extend `eval.vector_scale` with input-identical NumPy/sqlite-vec exact-KNN comparisons, - explicit backend identity, deterministic result hashes, and setup-excluded latency envelopes. -- Add `engraphis-cli review list|approve` for content-free, scoped bulk review. Approval is - dry-run by default, requires a reason and one batch confirmation, excludes quarantined records, - and supports explicit ids, source/repo filters, and the legacy-agent signature. -- Add embedding coverage and prompt-eligibility health to service stats, stamp service ingress and - writer-policy provenance, and document recall recovery without direct database surgery. -- Add deterministic reinforcement and adversarial-memory release gates plus a hash-bound LoCoMo - evidence-repair manifest and complete pinned-dataset retrieval diagnostics. -- Pin the Pyright contract for core, backends, and external evaluation; require it in CI and release - evidence; verify distribution contents; generate a reproducible CycloneDX SBOM; byte-compare - normalized repeat builds; smoke fresh wheel/sdist installs; and bind complete-tree CodeQL to the - tag gate. -- Smoke all 14 installed console entrypoints from their distribution metadata and generated wrapper - paths for both wheel and source-distribution installs, with bounded timeouts and diagnostics. -- Add opt-in semantic-confidence calibration for retrieval-arm experiments while preserving the - existing default ranking until paired external non-inferiority evidence is available. - -## [1.4.5] - 2026-08-04 - -Patch release aligning the package, runtime, commercial manifest, and plugin metadata at 1.4.5 -for the governed recall/write hardening, schema 8 migration, Smart MCP gateway fixes, and -credential-safe evaluation capture included in PR #111. -Schema 9 adds repository-scoped tombstone support and performs a one-time entity-canonicalization -repair; `confidence` and `pinned_at`/`unpinned_at` were introduced by the preceding v7-to-v8 -migration. Known-repository tombstones are terminal only within that repository, while legacy -repo-less tombstones remain global. - -## [1.4.0] - 2026-08-02 - -Engraphis 1.4 makes the compact Smart MCP gateway the default agent interface while preserving -the complete Classic surface for existing integrations. It also strengthens external-write -governance, -bounded context delivery, secure erasure, and release/runtime hardening, and moves the v2 SQLite -schema to version 9 (schema-level additions include repository-scoped `memory_tombstones`; the -upgrade also performs a one-time entity-canonicalization repair), which migrates automatically on -first open. Known-repository tombstones are terminal only within that repository; legacy repo-less -tombstones remain global. - -### Upgrade notes - -- `engraphis-mcp` now exposes nine Smart tools instead of 34 direct tools. Clients that depend on - the former names should switch their server command to `engraphis-mcp-classic`; HTTP clients can - use `engraphis-mcp-http --classic`. -- Existing v2 databases migrate automatically to schema 9 on first open; the change is additive - and requires no manual step. -- The NumPy-only core supports Python 3.9+. Dashboard, MCP, documents, Cloud Sync, and `all` - installations require Python 3.10+ because their supported dependency versions require it. - -### Added - -- Smart MCP is now the zero-configuration `engraphis-mcp` default. It exposes nine compact tools: - sessions, prompt-ready recall, durable memory, discovery, validated read/action execution, and - governed record read/update plus conflict review. `engraphis-mcp-classic` preserves the former 34 - direct tool names and legacy alias response shapes for pinned integrations. -- The first-party `@engraphis/pi` package under `integrations/pi` exposes that Smart MCP surface - as native Pi tools, verifies the Engraphis 1.4.x handshake, and ships with independent npm - packaging and release gates. -- Hosts that retain their own conversation history can call the non-MCP - `POST /api/adaptive-context` endpoint. Advanced proactive context also supports a bounded, - content-lean compact response while Classic keeps its full response by default. -- Opt-in planned recall adds a bounded deterministic planner, an injectable planner protocol and - optional LLM backend, priority-weighted multi-query RRF, post-rerank memory-type maxima, stable - context revisions, and diagnostics-only planner traces across Python, service, REST, and MCP - recall surfaces. The default remains the existing single-query path (now on schema 9). -- A 40-task context-routing stress fixture, four-way five-budget ablation harness, pinned - LongMemEval-V2 planner configurations, and evaluation-only imported-resource hierarchy prototype - encode local regression gates and matrix tooling. Official benchmark, safety, and hosted-cache - artifacts remain mandatory before any default or schema change. - -### Security - -- The Pi extension preserves the Smart gateway's destructive boundary: every discovered - state-changing action requires an explicit Pi confirmation, fails closed without a dialog, - and consumes its capability after one approval attempt so unknown outcomes are not retried. -- Public writes now enter an explicit review gate: MCP, REST/dashboard-intent, import, sync, and - extractor ingress are pending regardless of a caller-supplied trust label; detector matches are - quarantined before they can contribute to prompt context or derived state. Human approval creates - a fresh audited successor only through the CSRF-bound dashboard action or an interactive TTY - command, never through MCP or a general REST endpoint. Historical rescans demote non-approved - records and retire their derived bridges. Public history, graph/code retrieval and indexing, and - consolidation apply prompt eligibility before ranking or capacity decisions, so pending or - quarantined records cannot influence prompt-visible results through derived bridges. -- Smart MCP authorization now fails closed: discovery and read execution require viewer access, - state-changing execution requires admin access remotely, and pure reads do not emit write-side - telemetry receipts. Executor output is bounded without retrying or double-running handlers. -- Tokenless remote requests to the read-only recall and repository-graph API now fail closed; - health and OpenAPI discovery remain public. -- The deterministic detector now uses a pinned Unicode TR39 15.1.0 ASCII projection rather than - a short hand-picked table, covering additional Latin, Cyrillic, Greek, mathematical, and legacy - glyph substitutions without an online lookup or runtime dependency. -- Secret scanning is cycle-safe and depth-bounded, and PostgreSQL source identities are reduced to - credential-free digests for both URI and libpq keyword DSNs. - -### Fixed - -- Secure erase now rebuilds shared-edge provenance from surviving support rows. Historical-only - support remains available to time-travel reads while the edge is closed in the current graph. -- API embedding backends now validate dimensions, response cardinality, item indices, finite - values, and normalization before accepting provider output, with consistent bounded fallback. -- Planned-recall datasets reject dangling references, vector dimensions are bounded across local - and SQLite backends, and sync imports accept pinned state only when it is the literal boolean - `true`. -- The production image now removes build-only pip and its vendored dependency snapshot after - installation, eliminating unreachable vulnerable packages from the runtime attack surface. -- Automatic LLM retention supervision now discards proposed retention values when it - demotes an unapproved `critical` label; legacy poisoning rescans also honor - `--keep-unlabelled`, and code-memory exports apply eligibility before their result cap. -- Scope promotion now preserves an owner-approved detector match and its stable claim identity - without re-quarantining the approved derived copy. -- `engraphis connect` now treats its printed summary as a provider trust boundary: only bounded, - printable registration metadata is rendered, preventing malformed control-plane values from - being reflected into CLI or JSON output. -- Explicit local `engraphis-cli ingest` commands now record local-owner-approved provenance, - allowing their memories to appear in ordinary subsequent CLI recall. HTTP, MCP, import, and - file-ingestion boundaries remain pending review. -- The standalone v1→v2 migrator now refuses in-place and pre-existing output paths before - opening either database, preventing accidental mixing of legacy source history into a v2 target. -- Cloud Sync now closes failed HTTP response streams without reading their untrusted error bodies, - preventing descriptor leaks during repeated relay failures. -- Hosted customer clients now bind provider credential/session state before persistence and - preserve sanitized authorization/billing outcomes when an HTTP error body is truncated, so a - one-time connection cannot be stranded by an unreadable state file or retain stale paid badges. -- Authoritative hosted managed-compute authorization denials now immediately settle local - entitlement presentation state, so a revoked, lapsed, or de-authorized account is not shown - stale paid feature access while awaiting a background refresh. -- The production image health probe now follows the active IPv4 or IPv6 loopback listener, - preventing a Railway IPv6 deployment from being marked unhealthy while its readiness route - is serving traffic. -- Grounded recall's absolute support floor ignores titles and non-finite semantic scores, so - display text cannot independently make an answer eligible. -- Keyed-claim deduplication ignores harmless punctuation, and legacy zero, negative, or non-finite - stability values use the documented one-day default instead of producing invalid decay scores. -- Approval requires a non-empty audit reason, accepts only a live pending source, and preserves the - reviewed claim's pin, sensitivity, and keyed identity on its approved successor. -- The zero-config Compose quickstart remains loopback-only; a LAN deployment is an explicit, - token-protected operator choice and cannot inherit the local Docker bridge trust exception. -- Credential-shaped values are rejected before capture can create memory, FTS, vector, event, or - sync copies. `retire` is the canonical temporal lifecycle operation; targeted `secure_erase` - removes an already-leaked record and known local derivatives while reporting physical limits. -- The standalone MCP-over-HTTP launcher is explicitly loopback-only. Remote MCP clients must use - the dashboard's authenticated `/mcp` endpoint instead of an unauthenticated FastMCP bind. - -### Changed - -- MCP-over-HTTP has a packaged `engraphis-mcp-http` command and a generic local setup guide. The - project makes no client-specific integration claim without a maintained guide and integration - test. -- `.env.example` now mirrors runtime defaults for decay, context packing, loop cadence, and recall - depth so copied configurations do not silently override the documented behavior. - -## [1.3.0] - 2026-08-01 - -### Added - -- The optional `hosted-eval` extra adds guarded hosted-Luna productivity evaluation with a - redacted public evidence exporter. -- Protected public benchmark workflows now support redacted hosted and retrieval evidence runs. - -### Security - -- Untrusted ingress now fails closed: provenance and extractor metadata are allowlisted, suspicious - records are quarantined before embedding, linking, graph extraction, resolution, recall, or - grounding, and `scripts/rescan_poisoning.py` can retroactively label or quarantine old records. -- Trust is preserved across resolution, structured graph writes, consolidation, entity profiles, - and review paths. Untrusted records cannot mutate or promote trusted memory, and derived outputs - remain trusted only when every source is explicitly trusted. - -### Documentation - -- README and release guidance now match the current install extras, public entry points, product - boundaries, and focused MCP/provider documentation. - -### Fixed - -- Public server entry points now share the v2 service, keeping recall behavior consistent across - the dashboard, server, Compose, Classic, and MCP-over-HTTP. -- Keyed mutable-fact replacements now load their live predecessor directly, so reworded updates - preserve history without relying on vector top-K recall. -- Versioned deterministic embeddings now rebuild persisted vectors after a mapping change, keeping - existing databases searchable after an upgrade. -- Prompt-facing recall now widens candidate search when untrusted results crowd out trusted - evidence, while keeping expansion bounded. Title text now contributes to absolute support floors - for grounded and hosted recall. -- Hosted productivity evaluation now scores canonical, acceptable, or supporting-evidence answers - with strict natural-language framing instead of token containment or raw JSON text. -- Hosted-Luna workers on Windows now establish kill-on-close containment before sending input; a - failure refuses the request, and timeouts clean up the full worker tree. -- Poisoning rescans preserve existing temporal validity boundaries and invalidate affected edges - without overwriting governed history. - -### Changed - -- CI and release/install metadata now cover Python 3.13 and 3.14. - -## [1.2.5] - 2026-07-31 - -### Added - -- `engraphis_context_savings` aggregates validated, content-free recall receipts by workspace, - repo, operation, and token-counter identity. The view is available through the service, - dashboard, and read-only APIs. -- Recall supports an explicit adaptive candidate-depth experiment while retaining the historical - fixed depth by default. Performance reports record requested and actual candidate depths. -- `MemoryEngine` and `MemoryService` now provide adaptive context routing: bypass retrieval when - prompt history fits, use compact recall when support is strong, and fall back to bounded recent - history when support is weak. -- `eval.productivity` measures task completion, corrections, agent turns, memory calls, latency, - and model-facing tokens. -- Chunk ingestion can enforce budgets with a configured Hugging Face tokenizer and records the - counter identity, target, and overlap in chunk metadata. -- Offline adapters now cover MemoryAgentBench, LoCoMo-Plus, and Mem2ActBench, with a paired - full-history versus Engraphis code-agent analyzer. -- Public benchmark evidence can carry source hashes, repository state, environment and model - provenance, secret-redacted commands and URLs, content digests, and adjacent immutable SHA-256 - files. - -### Changed - -- Context-economy evaluation now compares full history, a same-budget recency window, and hybrid - recall while accounting for indexing cost. -- Official LongMemEval-V2 output has a dedicated redacted evidence exporter that retains the - official QA, token, and latency measures without publishing prompts, answers, model output, or - retrieved context. -- Folder-sync dry runs no longer create a remote directory or persist a local device identity. - -### Fixed - -- Sync rejects malformed scope/repo combinations and every peer-driven visibility change for an - existing memory, including malformed legacy rows. Scope promotion or repair remains a local, - explicit governance operation. -- Workspace consolidation excludes session-private memories and partitions digests and entity - profiles by their exact visibility owner, preventing cross-repo or cross-scope summaries. -- Tokenizer-aware chunk overlap can no longer exceed the configured prose budget or emit a - duplicate overlap-only record before an oversized paragraph. Invalid token counters fail - closed instead of silently producing mis-sized chunks. -- Ledger graph interactions preserve manually selected nodes during refreshes. -- The new evidence guide is included in wheel and source distributions. - -## [1.2.2] - 2026-07-30 - -### Fixed - -- Cloud Sync now continues past legacy plaintext, malformed, and tampered relay objects while - still failing closed for each object. Later authenticated peer bundles apply, and the affected - sync round is explicitly reported as incomplete rather than successful. -- Security and sync documentation now consistently distinguish end-to-end encrypted Cloud Sync - from the separately readable managed-compute snapshot service. -- README visual PNG exports now use their SVG canvas dimensions without hidden screenshot padding. - -## [1.2.1] - 2026-07-30 - -### Security - -- Cloud Sync now encrypts every eligible shared-workspace bundle on the client with - ChaCha20-Poly1305 before upload. The relay receives opaque deterministic bundle names and - ciphertext only; tampered, renamed, cross-workspace, wrong-key, and legacy plaintext bundles - are rejected before the merge engine. -- Cloud Sync requires a client-held 32-byte workspace key and the `cloud-sync` optional runtime. - Missing or malformed encryption configuration stops sync rather than falling back to plaintext. - -### Changed - -- Cloud Sync privacy copy now states that eligible shared-workspace changes are encrypted - end-to-end before leaving the device and cannot be read by Engraphis Cloud. Product and - security documentation separately identifies managed compute as the readable, bounded-snapshot - service it is. - -## [1.2.0] - 2026-07-30 - -### Added - -- `engraphis_recall_context` brings the MCP surface to 30 tools and is the compact, hard-budget - path for agent prompts. It returns packed context, compact source identities, strict token usage - fields, optional retrieval diagnostics, and preserves `engraphis_recall` as the full-response - compatibility surface. -- Recall and grounded recall now expose `valid_at` (world time) and `known_at` (system time); - `as_of` remains the compatible `valid_at` alias and conflicting anchors are rejected. Retrieval - defaults to the `balanced` profile; `auto` remains explicit opt-in. -- MCP and HTTP remember calls can set a fact's world-time `valid_from`; recall, grounded recall, - and the compatibility answer tool can run a point-in-time `as_of` query. -- `eval.performance` reports full recall-pipeline quality, packed context tokens, and - p50/p95/p99 latency with a reproducible JSON schema and deterministic corpus scaling. -- Schema v5 adds temporal history for symbols, code edges, code-memory links, and persisted - memory-entity incidence. Code retrieval is now a first-class profile, and graph walks use - bounded sparse PageRank instead of a dense quadratic transition matrix. -- Optional `subject_key` and `claim_kind` make mutable claims explicit. Uncertain similar facts - are conservatively related while keyed or strongly evidenced contradictions supersede. -- `engraphis-benchmark/v2`, canonical workspace exports, and release-evidence manifests provide - deterministic hashes, per-question records, fixed token-budget curves, and validation before - public evidence is written. - -### Fixed - -- Supersessions now close the old fact at the replacement's effective world time instead of its - ingestion time. Superseded, corrected, promoted, merged, forgotten, and consolidated source - vectors remain available to historical semantic recall while temporal filters keep them out of - the current view. -- Non-finite write and recall timestamps fail validation instead of entering scoring or SQLite. -- Ordinary recall is observational by default, so weak nearest-neighbor results do not gain - stability merely by being returned. Grounded recall still reinforces only cited evidence, and - Python callers with an explicit use signal can request reinforcement. -- Code and PPR retrieval now restrict incident-symbol and memory-entity lookups to the reachable - frontier before applying their safety caps, and repo writes link text mentions to visible - workspace-level entities. - -## [1.1.5] - 2026-07-28 - -### Changed - -- Simplified the Ledger and Classic graph controls by removing the complete-graph action. -- Replaced the README Knowledge Graph image with the corrected Ledger screenshot. - -### Fixed - -- Ledger now has one working `Show unlinked nodes` control that reloads the intended bounded - graph view. -- Time-travel graph views prioritize support visible at the selected anchor, and graph drag - handling remains safe when browser animation-frame globals are unavailable. - -## [1.1.2] - 2026-07-27 - -### Added - -- **The complete Ledger design is now the primary local WebUI**, ported from the final - five-area design package without its sample store or unsafe design runtime. Today, grounded - Ask, Library, the advanced Graph & Relations view, Provenance, and Manage all use live v2 data. - Manage includes workspaces, reviewed local consolidation, hosted Analytics/Automation/Team - status, the full plan comparison, settings, and persisted Slate, Midnight, Paper, and Matrix - themes. -- Ledger now exposes the production grounded-answer route (`POST /api/answer`), returning a - cited answer or an explicit abstention. Graph & Relations ships the supplied graph capabilities: - five layouts, four render styles, palettes, degree/betweenness sizing, bridge detection, - valid-time filtering, superseded ghosts, focus, and automatic cluster collapse. -- The complete former dashboard remains available at `/classic`. Both interfaces expose a - visible dashboard selector and share the same workspaces, memories, receipts, and engine. - -### Changed - -- Ledger defers both the CSP-sensitive renderer and graph payload until Graph & Relations is opened, - ignores stale workspace responses, renders memory text through DOM text nodes, and provides - responsive, reduced-motion-aware keyboard focus styling. Classic loads its lazy graph vendor - dependency from its own packaged backup tree. -- Graph nodes now use oversampled, cached screen-space material rendering with face-level - texture: full-face iridescent PVD for Cyber, directional blue-violet anodizing for Galaxy, - concentric brushed copper for Solar, and horizontal satin gunmetal grain for Classic, with - deterministic low-detail fallbacks for large graphs. -- Dashboard asset URLs now carry the node-material revision and local static responses - revalidate, preventing an already-open browser from pinning the pre-material renderer. -- Pro and Team purchase actions now preserve both the selected plan and billing interval, while - existing or lapsed subscribers are sent to the plan-neutral account portal for billing recovery. - Public documentation now distinguishes hosted-account grace and recovery behavior from the - always-local, Apache-licensed dashboard and MCP write paths. - -### Fixed - -- Token-protected dashboards can now establish a short-lived signed, HttpOnly browser session - without storing the API token in browser storage. Remote peers remain denied when no token is - configured, and non-loopback v1 server startup is refused unless authentication is enabled. -- Hosted entitlement refreshes use bounded exponential backoff, terminal denials settle every - local entitlement view, inactive sessions expose no paid feature flags, and ambiguous - single-use refresh responses permanently retire the possibly spent credential instead of - replaying it. -- Recommended Automation bootstrap is resumable across partial upload/policy-save failures and - authorizes paid work before generating or locking a local snapshot. -- Release checks now enforce commercial prices and trial terms, expose skipped tests instead of - hiding them behind duplicate quiet flags, and verify the full-stack dependency imports used by - the HTTP authorization boundary. - -### Security - -- Credential state directories are owner-only, product token forms are redacted consistently - from logs, checkout overrides fail closed to validated HTTPS or loopback HTTP destinations, and - unsafe control characters can no longer reform blocked browser URL schemes. - -## [1.1.0] - 2026-07-26 - -Public 1.1.0 hosted-connect and graph-experience release. - -### Added - -- **`engraphis connect --token engr_ct_…`**: the missing client half of device connect. - `cloud_session.save_bootstrap()` is the only writer of `~/.engraphis/cloud_session.json`, - and it had no production caller: the docs told paying customers to prefer a file nothing - created, so a purchased installation could not be connected without hand-writing state. - The new command redeems the one-time connect token from the account portal against - `POST /v1/devices/connect`, saves the returned session with owner-only permissions, and - verifies `cloud_session.configured()` before reporting success. The token is sent in the - request body and nowhere else; it is never printed, logged, or written to disk, and every - refusal maps to fixed, actionable copy (an expired or already-used token is not confused - with a lapsed subscription). Session storage is pre-flighted before the exchange, so an - unwritable state directory or a `cloud_session.json` replaced by a link fails the command - *without* spending the single-use token; the customer fixes the path and retries with the - same token instead of returning to the portal for a new one. Faults that can only happen - *after* the exchange: a reply truncated mid-body (`http.client.IncompleteRead`), or an - endpoint that stops resolving before the session is written (`CloudUrlUnresolved`) are - reported as errors that say the token was already used, rather than escaping as tracebacks - that leave the customer unable to tell whether to retry. Also installed as - `engraphis-connect`. -- An `engraphis` front-door command that dispatches to the existing `engraphis-` - entry points, so the command the account portal displays is runnable as shown. -- A stable per-installation identity at `~/.engraphis/client_identity.json` (random ULIDs, - not a hardware fingerprint) so reconnecting a machine updates its existing installation - instead of registering a new device every time. - -### Removed - -- Removed an unimplemented hosted export claim from public product surfaces. - -### Changed - -- Managed compute consent now travels with the cloud account: an installation connected to - Engraphis Cloud is enabled for managed analytics, dreaming, and consolidation **by - default**, because connecting already accepts the terms that cover it. A local-only - installation with no cloud session is still never allowed. - `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` remains as an explicit operator override (`=0` opts a - connected installation back out, `=1` forces it on regardless of session state) and is no - longer surfaced anywhere in the UI. - -## [1.0.1] - 2026-07-24 - -Public 1.0.1 client reliability release. - -### Fixed - -- Cloud Sync now defaults to `https://relay.engraphis.com` and safely migrates the former - dashboard host and retired Railway relay URL without changing customer-provided relay URLs. -- Default Pro and Team upgrade links now target the live authenticated account portal rather - than the retired Team dashboard host. -- Hosted endpoint validation now fails closed unless DNS establishes a globally routable - destination, and credential-bearing HTTPS connections pin the vetted address while preserving - original-host TLS verification to prevent DNS-rebinding SSRF. -- Hosted Automation and maintenance requests now use the selected workspace end to end rather - than silently falling back to the first workspace. -- The Automation tab has one proposal action, clear managed-upload disclosure, and explicit - managed-compute consent in addition to entitlement checks, snapshot redaction, and limits. -- Commercial metadata now describes Pro as one owner account across that owner's local - installations, matching the hosted entitlement model; Team remains billed per named seat. -- API error responses and provider logs no longer expose arbitrary exception or configuration - text; local folder and repository reads resolve and re-check filesystem boundaries. -- Entity extraction and dashboard asset migration avoid adversarial regular-expression - backtracking. CodeQL now disables pull-request diff-informed analysis and CI fails on every - raw SARIF result, including pre-existing and source-suppressed results. -- The documented grounded-recall evaluation prints with the default Windows console encoding. -- Hosted Pro and Team links preserve the selected plan through account creation and Checkout. -- A total `401`/`402`/`403` Cloud Sync authorization loss restores the hosted recovery CTA, - while a successful empty or read-only workspace remains a partial result instead of being - misreported as a total denial. - -## [1.0.0] - 2026-07-23 - -Public 1.0.0 open-core GA release. - -### Added - -- The search-first Galaxy Knowledge Graph explorer with deterministic communities, canonical - evidence-weighted scenes, entity/relation search, temporal filtering, evidence and history - inspection, strongest-evidence paths, synchronized accessible tables, saved scene state, - local PNG/JSON/CSV export, Simple and Advanced views, and a locally bundled ForceGraph + D3 renderer - under the strict same-origin CSP. -- Additive schema-v4 canonical identity and bi-temporal edge-support records; deterministic - graph scene, suggestion, entity, and path APIs; and a persisted graph-index job with dry-run, - progress, cancellation, bounded errors, audit records, and tamper-evident receipts. -- A 29-tool MCP surface with explicit behavior annotations, operation receipts, exact session - retry semantics, portable plugin manifests, and checksummed skill assets. -- Customer-side hosted protocols for scoped Cloud Sync, rotating cloud sessions, Analytics, - and managed Automation requests, plus explicit manual folder exchange for local workflows. - -### Changed - -- The public distribution is a universal Python open-core package that runs only as a customer - node. Hosted authorization, billing, relay storage, managed compute, Team identity, workers, - and vendor operations remain private services. -- Commercial compatibility modules now expose presentation and customer-protocol metadata only; - no environment variable turns the public package into a hosted Engraphis service. -- Session identity is exact across workspace, repo, authenticated user, agent, and goal; callers - can request a distinct run with `force_new=true` and observe retry reuse explicitly. -- The legacy graph view defaults to deterministic community islands, keeps sparse influence - bridges subordinate, and renders bounded A-MEM links when entity extraction is disabled. The - repository screen demo proves session handoff, bi-temporal supersession, recall evidence, and - history without an external service. -- The hosted no-card trial is exactly 3 active days after email confirmation. A separate - `workspace_write_grace` may preserve ordinary local writes for at most 24 hours but never - extends trial or paid cloud access. -- Apache-2.0 rights in published releases remain irrevocable; proprietary hosted value is - enforced by the private implementation and service authorization boundary. - -### Fixed - -- Session start/end and session-scoped writes are atomic under concurrency; exact retries reuse - one session while intentionally separate runs remain distinct. -- Rotating refresh credentials serialize across threads and processes, persist replacements in - owner-only state, close failed HTTP responses, and never regress to a stale bootstrap value. -- Managed snapshots reserve a monotonic generation in the same local write transaction as the - capture, use one operation ID per run and retry, redact provider errors, reject unknown - sensitivity, exclude session and secret data, and enforce exact record/byte limits. -- Graph reads, suggestions, evidence, history, indexing, exports, audit views, fallback search, - and workspace statistics consistently enforce workspace and session boundaries, including - forgotten session-only graph evidence. -- Windows private-state validation uses safe file metadata checks without weakening symlink, - ownership, size, or atomic-publication protections. -- Recall graph seeding uses one boundary-aware compiled pattern instead of rescanning every - memory per entity, and the streamable HTTP launcher warms the singleton service before - accepting clients. -- Graph GET requests remain read-only and return a rebuilding conflict while an explicit - mutating index job is in progress. - -### Security - -- Bare memory IDs, shared-workspace controls, graph entities, statistics, snapshots, exports, - audit rows, and keyword fallbacks cannot cross authenticated session or workspace boundaries. -- Managed uploads require explicit customer consent, are capped at 16 MiB and 100,000 rows, - omit all session-scoped and secret-class memories, and surface only fixed client-safe - provider errors. -- Customer credentials remain owner-only, redirect-safe, serialized during rotation, and are - never substituted with an unproven local machine identifier. - -## [0.9.9] - 2026-07-18 - -Security and reliability release spanning graph isolation and performance, Team / Pro -authentication, licensing and relay behavior, and the redesigned Knowledge Graph. - -### Security - -- Code-graph search, path, impact, export, and unified-graph reads now apply the same - workspace/repo/session hierarchy filter as recall. Session-scoped memory content and - identifiers previously remained reachable through persisted code-memory links from a - repo-level caller. Reindexing still rebuilds those links for the owning session, but - every read now filters them by caller-visible scope. -- Auth-bound dashboard users can no longer omit `workspace` to reach global recall. - Inspector per-user and deployment bearer tokens now bind real or synthetic identities - before personal receipt reads, so the deployment service account remains available for - shared automation without bypassing personal-folder ownership. The standalone - read-only graph endpoint also disables lazy write-on-read backfill. -- Repository indexing now creates a first-time Team workspace through the same - privacy-aware path as remember/import/session writes, instead of silently creating a - shared, unowned folder for the authenticated user. - -### Fixed - -- Code-graph layer responses and filters now use the concrete persisted layer, including - inferred causal relations and explicitly semantic code edges. Code-memory link rebuilds - page through every live repo-associated memory instead of clearing the bridge and - stopping at 5,000, and Git impact parsing uses NUL-delimited paths without rewriting - valid filename characters. -- Graph layer predicates are applied before workspace and code-edge response caps, and an - explicit all-off layer selection remains empty instead of reverting to every layer. - Layout preset and custom link-distance changes also recompute component centers while - preserving the existing graph data and node objects. - Filter reloads also tolerate transient graph-data invalidation, so restoring layers - redraws the canvas instead of leaving the explorer list beside an empty graph. -- Oversized audio/video resources are rejected before transcription begins. A blank - `ENGRAPHIS_GRAPH_TOKEN` now correctly falls back to `ENGRAPHIS_API_TOKEN`. -- The sync relay now has its own per-IP token bucket - (`ENGRAPHIS_RELAY_RATE_PER_MINUTE`, default 600) instead of sharing the - 60-request/minute license-registration budget. A full 64-bundle sync round can complete - without throttling its final requests, while invalid-key floods remain bounded before - Ed25519 verification. -- Every `/start-trial/verify` response (success, each error, and the 429) sends - `Cache-Control: no-store` and `Referrer-Policy: no-referrer`. The request URL carries - the one-time token, so the error pages are as Referer-leaky as the success page that - holds the key; they previously used separate inline header literals and had drifted. - -### Changed - -- `GET /api/auth/users` checks `admin` at the route, matching `auth.min_role()`. The - middleware already enforced admin, so this is defense in depth with no behaviour change; - the route previously said `member`, which was dead code that misrepresented the policy. -- Successful version-tag publication now creates the matching GitHub Release and attaches - the same validated wheel and source distribution sent to PyPI. Manual workflow dispatch - remains build/check-only, and the release job is tag-gated behind successful PyPI - publication. -- The Knowledge Graph defaults to compact component-aware packing and adds community, - radial, constellation, original, and custom layouts; selectable Cyberpunk, Galaxy, - Solar system, and Classic visual styles with persisted palettes; per-type node colors; - a synchronized keyboard-accessible explorer; collision-aware labels; and responsive - controls. Large graphs reuse rendered data, cap explorer DOM rows, reduce animation - work, and suppress expensive dense-graph effects. -- The duplicate global Recall shortcut was removed from the dashboard header. Recall - remains available in the Memory Operations sidebar and from contextual page actions. -- The README documentation was expanded to clarify note-link graphs, agent memory, code - awareness, encryption, and sleep-time consolidation without making unmeasured product - comparisons. -- The README now documents Command Code CLI as an MCP-native client and includes its - verified stdio registration command. - -## [0.9.8] - 2026-07-18 - -Hardening release focused on dependable installation, upgrades, startup, dashboard use, -and safe hosted deployment. - -### Security - -- Every entrypoint sends baseline response headers: CSP, `X-Frame-Options: DENY`, - `X-Content-Type-Options`, `Referrer-Policy`, `Permissions-Policy`, and HSTS over HTTPS - only. Override with `ENGRAPHIS_CSP` / `ENGRAPHIS_HSTS`; set either to an empty string to - omit that header where a fronting proxy supplies its own. -- Loopback/bootstrap trust now rejects all common forwarding metadata, including - `X-Forwarded-Proto`; a same-host TLS proxy can no longer make an internet request - look like an unproxied local setup request. -- Inspector first-admin setup now uses the auth store's atomic empty-database gate, so - concurrent different-email requests cannot both create administrators. - -### Added - -- MCP clients now receive canonical recall, session, durable-memory, and handoff guidance - through the server's initialization instructions. -- The dashboard exposes a small `/api` service index, and the graph CLI documents its - public commands without showing the internal merge-driver command. -- Regression coverage now exercises the sqlite-vec backend, workspace-aware entity recall, - installed database migration, encryption packaging, CLI startup, update paths, and release - artifacts. - -### Changed - -- Installed builds now keep the default database in the platform user-data directory. - Existing package-directory databases are copied with SQLite's backup API, validated, and - preserved as recovery copies; source checkouts retain their repository-local default. -- `engraphis-update` discovers the highest stable SemVer tag, validates explicit versions, - fails closed on fetch errors, refuses dirty editable worktrees, and keeps pip, pipx, Git, - and documents the source-rebuild path for locally built Docker images. -- Dashboard styling and navigation were reworked with five selectable themes, responsive - mobile behavior, semantic landmarks, improved keyboard focus, clearer confirmations, and - fully self-hosted browser assets. -- Console launchers now validate arguments before optional imports, report actionable startup - failures, display reachable IPv4/IPv6 URLs and resolved database paths, and advertise the - current dashboard and API routes. -- Optional-dependency bounds and extras were refreshed. The cross-platform `all` extra no - longer pulls the platform-limited SQLCipher driver, while encryption continues to fail - closed when no compatible driver is available. -- The release workflow now pins actions by commit, runs the full test/evaluation and package - validation gates, matches release tags to package versions, and reserves publishing for - validated tag pushes. Bundled browser-library license notices are included in distributions. -- Installation, hosting, sync, graph-query, MCP tool-count, and database-location guidance was - synchronized with the current commands and runtime behavior. - -### Fixed - -- Installed `engraphis-init` configuration is now loaded from the current directory's - `.env` without parent traversal, while explicit environment variables retain precedence. - Upgrading no longer opens a fresh platform-default database instead of the database the - user selected through `engraphis-init`. -- A failed dashboard memory-detail request can no longer retain a prior memory identity or - leave write controls enabled, preventing a later Save from modifying the wrong memory. -- A fresh hosted deployment now renders an actionable, non-data bootstrap screen when remote - API access is denied by default; it offers the safe Team-trial path or deployment-variable - setup without exposing account-wide license activation to a signed-out browser. -- Dashboard, REST, Inspector, MCP, licensing, sync, billing, and provider failures now return - bounded user-facing messages rather than raw exceptions or upstream response bodies. -- Trusted-proxy handling now evaluates the rightmost forwarded hop, supports exact/CIDR - allow-lists, and prevents untrusted forwarding headers from changing URLs or secure-cookie - decisions. Interactive API documentation is disabled on user-facing servers by default. -- Dashboard handlers now read memory, workspace, member, and token identifiers from escaped - `data-*` attributes instead of interpolating untrusted values into inline JavaScript. -- Repository-graph JSON output now escapes non-ASCII labels so Windows console encodings do - not turn successful `impact`, `prs`, or query commands into exit-code 2 failures. -- A server-only installation now includes the multipart parser required by dashboard import - routes instead of depending on the unrelated MCP extra to provide it transitively. -- `engraphis-mcp --help` works without importing the optional MCP stack; server-only and - explicitly offline configurations no longer emit misleading missing-dependency warnings. -- Dashboard and legacy-server launch failures retain database recovery details instead of - collapsing them into generic errors, and invalid port values are rejected cleanly. -- SQLite vector selection is now tested in both accelerated and offline-fallback modes, while - memory writes remain durable and audited if an index update fails. -- The zero-configuration Compose dashboard now admits its Docker host bridge while both - published ports remain loopback-only; widening a port requires an API token. -- Git-installed updates retain their recorded PEP 610 remote, and failed editable updates - restore the original branch without exposing a Python traceback. -- Customer-operated sync relays are separated from the managed license/trial/invite service, - and the sample `.env` no longer overrides installed database defaults with a relative path. -- MCP end-of-session guidance again represents completed work with an empty unresolved list - instead of persisting a fake open thread. - -## [0.9.7] - 2026-07-17 - -### Security -- Team-mode login gained a per-source-IP failure throttle (25 failures / 15 min) - alongside the existing per-email lockout, closing the credential-stuffing sweep - that tried each address once; lockouts now surface as a typed - `AccountLockedError` mapped to HTTP 429 + `Retry-After` (previously 401, or a - 429 derived by substring-matching the error message). - -### Fixed -- `remember`/`remember_with_resolution` are now atomic across the neighbor-resolve → - insert sequence (engine-level write lock): concurrent near-duplicate writes can no - longer both resolve ADD and store duplicates instead of NOOP/INVALIDATE. -- The Inspector's `/api/auth/login`/`setup` no longer run PBKDF2 (600k iterations) - on the asyncio event loop; password hashing moved to a worker thread, so a burst - of logins can't stall every other request. -- A failed vector-index upsert on the write path is now logged and audited - (`index_upsert_failed`) instead of silently swallowed. Previously, the memory - stayed invisible to semantic recall with no trace. -- URLs built from a bind host are now IPv6-safe and connectable (`engraphis.netutil`): - `ENGRAPHIS_HOST=::` no longer yields the malformed `http://:::8700` in the printed - dashboard URL, the :8710 redirector target, or `Settings.base_url`; wildcard binds - map to loopback. -- The Docker image no longer bakes an IPv4-only bind: the entrypoint defaults - `ENGRAPHIS_HOST` to dual-stack `::` when the kernel has IPv6 (what Railway's - private-network healthchecks require) and `0.0.0.0` otherwise, so wiping the - service's env vars can't regress the 2026-07-16 healthcheck outage. - -### Changed -- Consolidated four per-app bearer-token checks into one constant-time - `inspector.auth.bearer_ok` helper (scheme now matched case-insensitively per - RFC 7235 everywhere); extracted the ~230-line code-graph HTML/Markdown export - templates from `core/engine.py` into `core/codegraph_export.py`; documented the - v1/v2 split in `engraphis/routes/__init__`; entity ancestor-widening in graph - recall now applies to `workspace_id` symmetrically with `repo_id`; filtered - sqlite-vec searches cap their geometric widening with a single full scan. - -### Added -- Schema v3 logical graph layers (`temporal`, `entity`, `causal`, `semantic`), privacy-safe - SHA-256 receipt chains, optional LLM/host retention supervision, and a persistent code↔memory - bridge. -- Incremental multi-language repository indexing (Python, JS/TS, Go, Rust, Java, C#, C/C++, - SQL, Terraform), docstrings/comments, variables, inheritance/implementation, weighted - communities, hotspots, path queries, git/PR impact analysis, portable JSON/HTML/Markdown - exports, and a graph union merge driver. -- Local multi-format resource ingestion for text/code/HTML/DOCX, optional PDF/image OCR and - faster-whisper transcription, plus live PostgreSQL schema introspection with DSN redaction. -- Seven MCP tools for code paths/impact/export, PostgreSQL schema ingestion, and receipt - list/verify/export, bringing the tool surface from 20 to 27. -- `engraphis-graph` workflow CLI and token-protected `engraphis-graph-server` read-only HTTP - surface. - -### Changed -- Railway hosting now supports Pro solo single-admin deployments: any active Pro or Team - entitlement can bootstrap the first admin and activates the login wall, while member - seats and direct hosted agent writes remain Team-only. The hosting guide now covers both - Pro solo sync-relay and Team member flows. - -### Fixed -- 1-hop graph recall (and the PPR large-graph fallback) now honors `graph_layers`, matching - the PPR arm: `Store.neighbors()` gained a `layers` filter. -- `FolderTransport.push()` no longer follows peer-planted symlinks in the shared sync folder - (unpredictable temp name + `O_CREAT|O_EXCL|O_NOFOLLOW`), closing an arbitrary-file-write - vector that mirrored the already-hardened read side. -- `engraphis-graph-server` treats an empty `--host`/`ENGRAPHIS_GRAPH_HOST` as non-loopback - (it binds all interfaces), so the bearer-token requirement can no longer be skipped. -- Caller-supplied `metadata.retention_supervision` is stripped at the service boundary; only - the validated `retention_class` presets can influence importance/stability. -- `merge_workspaces()` no longer duplicates symbols/code edges when both workspaces indexed - the same file in a same-named repo: the losing snapshot's rows are cleared, and its - memory↔code links are re-pointed at the surviving same-fqname symbols. -- `engraphis-graph impact/prs` reject leading-dash git revisions (git option injection), and - graph exports refuse a symlinked output directory and are written atomically without - following pre-planted symlinks. -- The unified graph endpoint bounds entity edges and code edges/links per request - (`limit`-derived cap) so a large workspace graph or indexed repo can't produce unbounded - viewer-role responses. -- Relay sync fails closed when a workspace's settings are unreadable rather than treating a - possibly-personal folder as shared: in the sync CLI and in the dashboard/background - `_sync_all` path; resource extraction enforces its own raw-size cap. - -## [0.9.6] - 2026-07-16 - -### Added -- **Agent Connect for hosted Team instances.** Members can mint SHA-256-hashed per-user - bearer tokens in Settings and use the hosted v2 store through `POST /api/remember`, - the existing read routes, token management under `/api/auth/token*`, and - `GET /api/auth/connect-info`. Tokens retain the user's role and personal-folder scope; - viewers are read-only and disabling a user invalidates their tokens immediately. -- **Authenticated MCP-over-HTTP at `/mcp`.** When the MCP extra is installed, the - dashboard mounts the same 20 tools as the standalone server and injects its existing - `MemoryService`, avoiding a second SQLite writer. The endpoint requires an active Team - entitlement and per-user bearer token, enforces viewer/member/admin roles per tool, and - reports actual mount availability through connect-info. -- **One-click Railway hosting.** Added `railway.json`, the README deploy button, and - `docs/HOSTING_RAILWAY.md` for persistent volumes, forwarded HTTPS headers, Team - entitlement bootstrap, member invites, and HTTP/MCP agent connection. -- **Two new MCP context tools.** The MCP inventory grows from 18 to 20 with - `engraphis_answer`, a compatibility alias for the existing grounded-recall contract, - and `engraphis_proactive_context`, also available at `POST /api/proactive-context`. - Proactive packets include bounded task/agent state, cited memories, suggested queries, - and the previous session handoff. Optional LLM prose is accepted only when every claim - carries a valid citation. -- **Structured LLM ingestion and consolidation.** `ENGRAPHIS_EXTRACTOR=llm_structured` - validates typed facts, entities, relations, keywords, and confidence; that metadata is - preserved through storage and automatically feeds the graph. Settings now includes a - **Connect your LLM** card backed by `/api/llm/status` and `/api/llm/test`. - Consolidation adds schema-validated facts and explicit source supersession across the - service, REST, MCP, and CLI surfaces, with deterministic fallback on provider/schema - failure. -- **Opt-in deterministic memory intelligence APIs.** Added conflict triage for duplicate, - refinement, contradiction, and obsolete candidates, plus a serializable `UserModel` - that learns interaction preferences and reranks recall results. These helpers do not - mutate the store or alter default recall unless a caller invokes them. - -### Changed -- **Team mode is opt-out by default.** `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) disables - Team plumbing. A fresh solo install stays open, first-admin setup requires a live Team - entitlement, and an existing team's authentication wall remains active if its license - lapses so private data never becomes public. -- Pre-login license status and trial routes now allow a fresh instance to start a Team - trial before first-admin setup. Purchased keys bootstrap through - `ENGRAPHIS_LICENSE_KEY` or the license file; `/api/license/activate` remains admin-only. -- Package fallback metadata and all user-facing tool inventories now agree on version - `0.9.6` and 20 MCP tools. - -### Fixed -- **Agent Connect and dashboard lifecycle:** corrected generated endpoint URLs, retained - one-time token visibility, made `/mcp` bearer-only, bound MCP sessions to their initiating - user, rechecked tool roles on every call, retained DNS-rebinding protection, closed - previously injected stores, and made connect-info reflect the real optional MCP mount. -- **License and Team enforcement:** authoritative revocations override cached entitlement - and persist tombstones for previously unrecorded keys; transient failures may use only - an unexpired lease; public license/trial bootstrap routes close after the first Team user; - trial rate limits trust forwarded addresses only from configured proxies; managed - requests use explicit client headers; retired managed relay URLs are canonicalized - across key issuance, license/trial, invite, and sync clients; and configured keys - that fall back to free after transient outages retry automatically. -- **Python and packaging compatibility:** rate-limit buckets and audit exports use - timezone-aware UTC APIs, package metadata uses the SPDX license format, and the - deterministic fallback matches the default embedding model’s 384 dimensions. -- **Memory and retrieval integrity:** audit writes are committed durably, recall excludes - non-live rows, mixed embedding dimensions no longer crash recall and have a backed-up - repair path, sync enforces workspace/repository boundaries in both directions, graph - provenance is pruned per memory instead of deleting shared edges, SQLite-vector distances - are converted to cosine similarity, entity expansion matches complete names, and the - sentence-transformers adapters support both legacy and renamed dimension APIs. -- **Structured-data safety:** extraction metadata survives ingest unchanged, proactive and - consolidation inputs are bounded, structured consolidation rejects source IDs outside - the requested cluster, and synthesized context cannot replace deterministic output - without valid citations. -- **Dashboard graph navigation:** focusing an isolated node now retains the requested node - through the delayed renderer retry instead of reporting a false “Entity not in view.” -- **Dashboard typography:** replaced sub-12px text and the flat type ramp with a consistent - 12/16/24/32px hierarchy while preserving responsive layout. - -### Documentation -- Updated the README, Agent Connect, Railway, Kilo Code, bundled memory skill, benchmark - command, and package-version fallback to match the shipped routes, tool count, setup - order, and extractor/consolidation options; removed the unused shortcut icon helper. - -## [0.9.5] - 2026-07-14 - -### Changed -- **Team mode is now ON by default (opt-out).** `ENGRAPHIS_TEAM_MODE` defaults to on; - set `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) to disable. The per-user login wall is - no longer raised just because the mode flag is on. It now requires a *live* `team` - feature entitlement (`licensing.has_feature("team")`), checked at request time in - `dashboard_app.py` and reflected in `/api/auth/state`. Solo / no-license installs stay - fully open, and the wall appears the moment a team license key is added, even via the - dashboard UI at runtime. A `team` license is still required to *add seats* beyond the - first admin (bootstrap admin is created unconditionally). Docs (`.env.example`, - `AGENTS.md`, `README.md`, `SECURITY.md`, `scripts/init.py`) and team-mode test fixtures - updated. -- **Team-invite email rewritten to separate "join" from "activate a key".** The old - invite conflated the two, so members pasted the shared team key into the hosted/Railway - dashboard, saw it "work" (it just re-activated a license already active there), and - thought they'd joined, when joining means signing in with email + password. The email - now frames two distinct options: **Option 1** (required to join) sign in to the team - dashboard with email + the admin-set password, with explicitly *no license key needed here, - don't paste one*; **Option 2** (optional) run Engraphis on your own machine and access - the team's memories locally; that is what the shared team key is for (LOCAL - `http://127.0.0.1:8700` → Settings → License, then Settings → Cloud Sync to pull the - converged team store down to a local offline copy). Invites now always carry a - clickable sign-in link: `dashboard_url` resolves explicit arg → `ENGRAPHIS_DASHBOARD_URL` - → `DEFAULT_TEAM_DASHBOARD_URL` (`https://team.engraphis.com/`). A footer with the - canonical site + repo links is added as env-overridable module constants - (`SITE_URL`/`REPO_URL`) so the URLs can't drift per-email. `tests/test_billing.py`. - -### Fixed -- **Intermittent `database is locked` from `set_service`.** `routes/v2_api.set_service` - swapped the global `MemoryService` without closing the previously-bound service's store - connection, so under heavy test churn a deferred-GC close of the old SQLite/WAL handle - collided with the next `MemoryService.create` on the same path. The prior store is now - closed on swap (best-effort, never blocks the swap on a close error). - -### Docs -- **README now documents three previously-undocumented shipped features** (the features - themselves shipped in 0.9.3): sub-file chunking (`ENGRAPHIS_EXTRACTOR=chunk` + the - `eval.chunking_eval` whole-file-vs-chunked harness), auto-dreaming (the background - cross-cluster-inference loop, accumulation + idle trigger, `dream_inference` - provenance/auditability), and every automation dream knob exposed via the dashboard - Automation tab and the `GET/POST /automation` + `POST /maintenance/run` API. Also: a - **Team early-access beta** callout (top + feature/pricing tables + Free-vs-Pro section) - and a **daily-update reminder for maintainers** near the top (code wins; fix the doc in - the same change). - -### Chore -- `.gitignore` now excludes `automation.json` / `autosync.json` (regenerable local - runtime state from `engraphis/automation.py`, not source content). - -## [0.9.4] - 2026-07-14 - -### Fixed -- **The dashboard (`engraphis-dashboard` / `http://127.0.0.1:8700`) would not start.** - `scripts/start_dashboard.py` runs uvicorn against `engraphis.dashboard_app:app`, but - `dashboard_app.py` only defined the `create_app()` factory and never built a module-level - `app` instance, so uvicorn aborted with `Attribute "app" not found` and nothing bound - port 8700. The missing `app = create_app()` (present in `engraphis/app.py` and - `engraphis/redirector.py`, but dropped from `dashboard_app.py`) is now restored. The - background autosync/dreaming/revalidation loops inside `create_app()` are pytest-guarded, - so importing the module under test is side-effect-free. -- **Flaky `database is locked` dashboard test.** - `test_consolidate_inference_pass_is_pro_gated` opened two FastAPI `TestClient` lifespans - back-to-back on the same temp DB file; the first app's still-open SQLite connection - blocked the second's schema init. Split into two one-client test functions, matching - the convention already documented above `test_analytics_and_export_*` (two TestClients - in one test reproducibly deadlock). Full suite now green (693 passed, 3 skipped). - -## [0.9.3] - 2026-07-14 - -### Added -- **Email-verified self-serve trial + abuse protections on the trial endpoint.** - Starting a trial now requires a verified email and sends a one-time confirmation link - before any license is issued; the request path is rate-limited so the endpoint can't be - used to spam or farm trials. This raises the bar significantly above the previous - device-only gate while keeping the same paste-a-key activation flow on the dashboard. - `tests/test_cloud_license.py`, `tests/test_dashboard_v2.py`, - `tests/test_online_only_enforcement.py`. -- **Deterministic, offline sub-file chunking on the write path (`ENGRAPHIS_EXTRACTOR=chunk`).** - A third `Extractor` alongside passthrough/LLM: `ChunkingExtractor` splits a document into - retrieval-sized `ExtractedFact` chunks that preserve meaning: markdown headings start new - chunks and become the title, fenced code blocks stay intact, prose is packed to a token - budget (`ENGRAPHIS_CHUNK_TOKENS`, default 256) with a sentence-level overlap - (`ENGRAPHIS_CHUNK_OVERLAP`, default 32); a hard per-document cap - (`ENGRAPHIS_CHUNK_MAX`, default 200) bounds amplification. numpy/stdlib only, so it runs - under the offline gate and is byte-identical across runs. This gives long, multi-topic - documents finer retrieval units instead of one diluted memory; the bundled evaluation below - preserves Recall@5 while reducing retrieved context. New: `ChunkingExtractor` in - `backends/extractor.py`; `tests/test_chunking_extractor.py`. -- **File/folder imports chunk too.** With `ENGRAPHIS_EXTRACTOR=chunk`, - `import_folder`/`import_files` split each file into several retrieval-sized memories - (each still `trusted:false`, stamped with `metadata.chunk={index,of,heading}`) instead of - one; the LLM extractor is deliberately never applied to the local import path (no external - calls on untrusted disk files). A file still counts as one imported unit. - `tests/test_import_chunking.py`. -- **Chunking eval + `longdoc` dataset.** `eval/chunking_eval.py` + - `eval/datasets/longdoc.jsonl` compare whole-file vs chunked ingestion through the real - recall pipeline. On the offline embedder: identical recall@5 (1.000) at **~73% fewer - context tokens** (809 → 219) and ~4× smaller tokens-to-evidence (162 → 42); the "quality per token" - number `BENCHMARKS.md` calls for. `tests/test_chunking_eval.py`. -- **"Dreaming" trigger for automated maintenance.** `automation.should_dream` / `dream_due` - run a consolidation sweep *before* the cadence when enough new episodic memories have - accumulated **and** the store has gone quiet (`dream_min_new` / `dream_idle_minutes` policy - knobs); wired into `scripts/auto_maintain.py`. Purely additive to the existing cadence, so - cron behaviour is unchanged; still Pro-gated. `tests/test_dreaming_trigger.py`. -- **Associative cross-cluster inference (dream pass 4).** `consolidate.infer_links` / - `consolidate(infer=True)` proposes evidence-only links between memories in *different, - dissimilar* subject clusters that share a bridging entity: the "connect distant dots" step - same-subject distillation never reaches. **Off by default** (`infer=False`); the pass - follows the sweep's own `dry_run` flag, so a dry-run proposes into the report and a real - run applies. Applied inferences are low-salience (`importance=0.25`), `trusted:false`, - `source='dream_inference'`, linked to their sources and audited, so a bad inference is - visible, downweighted, and never merge-eligible into a trusted fact. Fan-out capped, - idempotent. Entity matching is now word-boundary (so `Redis` won't fire on - `rediscovered`) and the per-sweep text scan is computed once, not per entity. - `tests/test_inference.py`. -- **Inference is reachable from the maintenance path.** A new `infer` policy knob (off - by default) runs the inference pass inside `run_maintenance`, whether manual or from the dream loop, - following the sweep's `dry_run`. `/api/consolidate` takes `infer` (`false` by default); - `/api/automation` round-trips `infer`; the dashboard Automation tab has an Inference - toggle. `tests/test_dashboard_v2.py` (policy round-trip + `/maintenance/run` proposes the - Redis bridge), `tests/test_dashboard_dream_ui.py`. -- **Dreaming runs without cron.** A dashboard background loop (`_maybe_start_dreaming`, - mirroring auto-sync) runs a maintenance sweep whenever `automation.dream_due` fires. It is opt-in, - Pro-gated, fault-isolated, with an `ENGRAPHIS_DREAM_LOOP=0` kill switch. The `/api/automation` - policy round-trips the `dream` / `dream_min_new` / `dream_idle_minutes` knobs, and the - dashboard's Automation tab surfaces them as form controls (toggle + thresholds). The - trigger now scopes its accumulation/idle count to the policy's `workspaces` (a burst in - an out-of-scope workspace no longer fires a sweep). `tests/test_dreaming_trigger.py`, - `tests/test_dashboard_dream_ui.py`, `tests/test_dashboard_v2.py`. - -### Fixed -- **First-run team-mode bootstrap hardened.** The admin-creation path no longer depends - on an external relay round-trip succeeding to provision the first seat, and concurrent - first-admin requests are serialized so only one unlicensed bootstrap admin can ever be - created. Subsequent seat additions still require an active Team license. -- **First-run team-mode bootstrap fixed (frontend).** The admin-account screen now triggers - the trial/activation step before provisioning the first admin, so a fresh self-hosted - instance no longer deadlocks on the team-feature gate with no way to proceed. - No backend change; frontend-only. -- `MemoryService.create` now defaults `extractor` from `settings.extractor` - (`ENGRAPHIS_EXTRACTOR`) when unset, mirroring the existing `graph_extractor` fallback so - the dashboard and automated-maintenance front ends honor the config knob, not just the MCP - server and CLI. An explicit `extractor="none"` still overrides the environment. - -### Security -- **Closed a Pro-feature bypass on the manual consolidate endpoint.** The inference pass - (a paid capability) was reachable through the free housekeeping endpoint without a - license; it is now gated at the route and reinforced inside the service layer, so no - caller can reach the Pro-only path without a server-approved license. The free manual - consolidate action is unchanged. `tests/test_dashboard_v2.py`, `tests/test_inference.py`. -- **Strengthened license enforcement and revocation handling.** Reaffirmed that every paid - surface requires a live, server-validated lease and fails closed when the server is - unreachable; tightened the verification so licenses can't be forged client-side, and - serverside-issued seats can't be minted without a valid license. Revoked or refunded keys - are now re-confirmed against the server on a background interval so they degrade promptly - rather than remaining usable until lease expiry, while legitimate offline customers are - never stalled. `tests/test_online_only_enforcement.py`, `tests/test_cloud_license.py`. - -## [0.9.2] - 2026-07-13 - -### Added -- **Personal vs. shared folders + a redesigned Team dashboard.** A folder can now be - created `visibility='personal'` (owned by, and visible/usable only to, the creating - dashboard user) or `shared` (the whole team, the previous, still-default behaviour). - Enforcement runs through a single workspace-authorization chokepoint, so every scoped - read/write inherits it and a non-owner cannot access another user's personal folder. - Personal folders are excluded from relay sync so they stay on-device. The **Team - dashboard** gains a team overview (seat usage + activity), a Folders panel that creates - and manages shared/personal folders (folder creation now lives here: the Workspaces - tab is selection-only in team mode), members with last-active, and a team audit log with - CSV export. New/updated: `service.py`, `routes/v2_api.py`, `dashboard_app.py`, - `static/index.html`; tests in `tests/test_personal_folders.py`, - `tests/test_dashboard_v2.py`, `tests/test_sync_dashboard.py`. - -### Changed -- README expanded with the missing features (cloud sync, encryption, import/ingest, - workspace ops, Docker, config, and more) and now links to the Engraphis Discord. - -## [0.9.0] - 2026-07-13 - -### Added -- **Automatic v1→v2 database migration on startup**: a pre-existing v1-shaped - `engraphis.db` (no `workspace_id` column) is backed up and migrated to the v2 - schema, so existing installs upgrade cleanly without manual SQL. - -### Fixed -- **Dockerfile default entrypoint** is now `engraphis-dashboard --no-open` (was the v1 - single-user `engraphis-server`), so a fresh container serves a working team dashboard - with auth/license/trial routes instead of a permanently signed-out UI. - `engraphis-server` remains available as an explicit override for single-user - deployments. -- **CI**: ruff lint errors and core-floor (numpy-only) test collection. - fastapi-dependent tests now skip cleanly on the minimal core floor. `loads_strict` - now rejects pathologically deep JSON on every Python version (3.12's JSON scanner - no longer raises RecursionError for ~1000-deep input, which had broken the - deep-nesting parsing guard and its test on 3.12). - -## [0.8.8] - 2026-07-13 - -### Security -- Hardened license validation and trial consumption tracking -- Improved offline trial tamper resistance - -## [0.8.7] - 2026-07-12 - -### Added -- **Dashboard "Import files & folders"** restored on v2 engine -- **Kilo Code integration docs** (`docs/KILO_CODE_INTEGRATION.md`) - -### Fixed -- Dashboard auth: session handling, role badges, member management -- License cloud enforcement: lease validation, online-only gating -- Service layer: workspace operations, memory reorder, merge - -## [0.8.6] - 2026-07-12 - -### Added -- Dashboard "Import files & folders" section restored on v2 engine - (`engraphis/service.py`, `routes/v2_api.py`, `static/index.html`, Workspaces tab) -- Server-side path import and drag-and-drop upload, both member-gated and bounded -- Imported memories marked untrusted by default; 21 new tests - -### Security -- Hardened folder import against path-traversal and containment bypasses - -## [0.8.5] - 2026-07-12 - -### Fixed -- Logout no longer re-triggers sign-in modal loop -- Team bootstrap: trial/license endpoints now accessible before first admin exists -- Expired/revoked Team license no longer locks out all logins -- Trial start now idempotent (no 400 on repeated calls mid-trial) -- Team trial grants 5 seats (was 1), enabling actual team evaluation -- Dashboard handles empty workspaces gracefully -- Static assets (dashboard HTML, vendor JS) now ship correctly in wheel - -## [0.8.4] - 2026-07-12 - -### Security -- Paid features now require a live, server-issued license lease -- Offline handling degrades gracefully with bounded grace when the server is unreachable -- Local/offline trial grants removed; trials are server-issued and tracked per device -- Issued keys are server-enforced by default - -## [0.8.3] - 2026-07-12 - -### Fixed -- Empty workspace `/api/memories` returns `[]` instead of 500 -- Online-only license enforcement: cloud-mode keys validated per request - -## [0.8.2] - 2026-07-12 - -### Fixed -- Static package discovery: `engraphis/static/__init__.py` added -- Vendor glob: recursive pattern so `static/vendor/` bundles ship in wheel -- Dashboard 500 on `GET /`: `static/index.html` was missing from wheel (packaging bug) -- Dashboard 500 on fresh install: `GET /api/memories` crashed on empty workspace - ---- - -## Earlier versions (condensed) - -### Versions 0.5.x to 0.7.x -- MCP server with 18 tools -- Memory Inspector product UI (`engraphis-inspector`, port 8710) -- Dashboard rebuilt on v2 engine with recall, governance, consolidate, analytics -- Team mode: login auth, viewer/member/admin roles, seat limits -- Grounded recall with cited answers and abstain gate -- Sleep-time consolidation with compaction accounting -- Personalized PageRank graph arm (HippoRAG-style) -- Offline signed license keys (no phone-home) -- Pro analytics dashboard -- Code-symbol graph via tree-sitter or regex fallback -- Docker + docker-compose deployment -- 300+ tests, eval harness, ablation suite - -### [0.1.0] - 2026-07-09 -- Initial public release: local-first AI memory engine for agents -- Ebbinghaus decay, interaction-aware recall, bi-temporal facts -- Background consolidation; you bring the LLM - ---- - -**Security reporting:** Email **security@engraphis.dev** for vulnerability disclosure. + +### Added + +- Added `idx_vector_index_repairs_queue` composite index on `(identity, generation, memory_id)` + in `engraphis/core/schema.py` to prevent table scans during external vector repair queue dequeue. +- Added explicit operator opt-out verification with `403 Forbidden` (`processing_operator_disabled`) + for authenticated direct POST requests to `/managed-processing` in `engraphis/routes/v2_api.py`. +- Added `_only_environment_title_order_changed` in `engraphis/core/resolve.py` ensuring unkeyed + facts with permuted environment titles resolve to `NOOP` rather than false conflicts. +- Added comprehensive reliability regression coverage covering storage concurrency, vector index + repair indexing, and managed processing policy enforcement. + +### Fixed + +- Preserved `[all]` extras fallback for legacy editable installations in `scripts/update.py` + when no installation profile is recorded. +- Fixed external vector index hydration on physical index recreation and rebuilds. +- Fixed docstring dedenting and contract normalization across Python 3.9 through 3.14. + +### Changed + +- Bumped `tree-sitter-language-pack` to 1.16.1. +- Updated `codeql-action`, `anchore/scan-action`, and `anchore/sbom-action` GitHub Actions dependencies. + +### Reliability and privacy + +- Preserve distinct context claims, qualified sentences and complete units under tight budgets; + measure false NOOP outcomes through real write sequences. +- Preserve separate sources during packing and keep MCP gist responses within the canonical + context budget. Response caps retain or omit complete context and report accurate usage. +- Canonical temporal browsing, server-side Library filtering/pagination, independent Ask states, + actionable setup diagnostics and retained installation capabilities. +- Cross-process write resolution and schema 17 durable vector-index repair, with canonical + fallback and bounded NumPy scans. Public engine entrypoints remain compatible. +- Commit native batch indexing with canonical memory state and roll back both on failure. + Retain the established 12,000-memory graph window pending quality evidence for a smaller one. +- Explicit workspace managed-processing approval; missing legacy policy pauses readable uploads. + Requires the compatible cloud migration before rollout. Encrypted sync remains separate. +- Generated Smart/Classic MCP contract and integration inputs; Pro three-day and Team ten-day + trial copy aligned with cloud authority. Real browser and Workers evidence remains distinct + from production verification. See `docs/RELIABILITY_PROGRAM.md`. +- Isolate the manual graph diagnostic on an available local port with a private in-memory + server; fail before contacting an existing service when the requested port is occupied. + +## [1.7.1] - 2026-09-03 + +### Fixed + +- Isolated stdio transport wire in `engraphis.mcp_server`: redirected `sys.stdout` + to `sys.stderr` while preserving the raw binary stream for JSON-RPC wire + communication, preventing external library stdout chatter (e.g. PyTorch, + Hugging Face, tqdm) from corrupting the wire and triggering `write EOF` stream + disconnection errors in Node.js harnesses (Command Code, Cursor, Claude Code, Cline). +- Added thread-safe singleton initialization with `threading.Lock()` to + `engraphis.mcp_server.service()`. +- Added non-blocking background daemon warmup (`_start_background_warmup()`) in + `engraphis.mcp_server` to pre-warm the database and embedder, eliminating + cold-start latency and timeout disconnects on the first MCP tool call. Can be + bypassed with `ENGRAPHIS_MCP_WARMUP=0`. +- Added cache-first fast path (`local_files_only=True`) in + `SentenceTransformerEmbedder` (`engraphis/backends/embedder_st.py`), allowing + locally cached models to initialize in ~0.3s without network calls or remote + registry checks. +- Added embedder forward-pass diagnostic check to `engraphis-init --check` and + added `engraphis-init --prefetch` command to download and cache model weights + during setup. + +## [1.7] - 2026-09-03 + +### Added + +- Smart MCP `engraphis_recall_context` default `k` raised 8 -> 50 so the token-budget + packer binds on realistic stores by default. Measured at budget=1024 against a + 49-fact store: 100% labelled-relevance retention and ~50% of the store withheld + (savings_ratio 0.0 -> 0.4975) with no caller-side arguments. The packer is the + existing 1.6 contract; the change just makes it the default fast path. +- Smart MCP `engraphis_remember` now accepts and forwards `subject_key` and + `claim_kind` to the classic tool, so the documented safe-supersession + mechanism is reachable through MCP. +- A new integration at `integrations/commandcode/session_start_hook.py` (with + `scripts/install_cc_hook.py` for idempotent user-scope install/uninstall) wires + durable-memory recall into Command Code's SessionStart lifecycle: each new + session's first turn receives bounded relevant context as `additionalContext`. + Fail-open and silent on any error. Override workspace via + `ENGRAPHIS_HOOK_WORKSPACE`; override the MCP URL via `ENGRAPHIS_MCP_URL`. +- Cross-encoder reranker (`cross-encoder/ms-marco-MiniLM-L-6-v2`) is now + reachable as an opt-in config knob (`rerank_model=` on `MemoryEngine.create` + / `ENGRAPHIS_RERANK_MODEL`). Evaluated offline on the bundled retrieval gates + (sample.jsonl, codemem.jsonl, k=5): hit@5 stays at 1.0 with zero per-question + regressions, MRR@5 lifts 0.889 -> 0.944 (sample) and 0.962 -> 0.981 (codemem), + with ~15 ms per query added. Not the default; set the value in the trusted + config file (`~/.engraphis/config.env` on the operator account, or as a + process environment variable); Engraphis deliberately does not read the + CWD `.env`, so editing `./.env` and restarting leaves the identity + reranker active. Restart the MCP server and dashboard after the change. + +### Changed + +- The reworded-correction detector in `core/resolve.py` now supersedes reworded + corrections without a stable `subject_key` when the aligned token diff shows + a same-attribute value change (e.g. "the timeout is 30 seconds" -> "we raised + the timeout to 90 seconds"). The strong-evidence branch and the rewrite_gate + branch both require a change marker (e.g. "now", "raised") to be accompanied + by a value_swap on the same shared subject, so a bare "now" can never retire + a fact it merely shares surface nouns with. Vetoes preserve coexisting + distinct facts: clashing environment qualifiers (staging vs production, + folded through `prod`/`production` and `dev`/`development` aliases so a + legitimate correction across short forms does not get vetoed), + named mixed-case identifier swaps (ProviderA -> ProviderB), and clean + noun-for-noun replacements (REST -> GraphQL docs). Measured on the + reproducible corpus shipped at + `eval/datasets/resolver_reworded_corrections.jsonl` (44 pairs, 38 + positives + 6 negatives); reproduce locally with + `python -m eval.resolver_reworded_corrections` or + `python -m eval.resolver_reworded_corrections --strict` in CI. +- The `temporal_splice` flag passed from `core/engine.py` to `resolve()` is + now narrowed to the bi-temporal backfill case (a deliberate `valid_at` + AND a `subject_key`), instead of any `valid_at`-pinned write. Scheduled + future writes stay on the present-time veto contract. + +### Fixed + +- The Smart MCP gateway `engraphis_remember` now forwards `subject_key` and + `claim_kind` end to end, matching the **Added** entry above. + +### Operational + +- The new `engraphis_recall_context` tool emits one `INFO` log per call with + workspace, k, budget, packed/omitted counts, and the call's measured ms. + Operators get visibility without changing the on-the-wire contract. + The standalone \engraphis-mcp-http\ launcher only configures the root logger when + \ENGRAPHIS_MCP_LOG\ is set to a truthy value (\ / \ rue\ / \yes\ / \info\ / + \on\); the default stays silent so the CLI keeps its quiet profile. + +- The graph's "Show all nodes" toggle is replaced by a dedicated **Every node** layout built + on a new ultra-performance engine (`engraphis-graph-every.js` + + `engraphis-graph-every-worker.js`, WebGL2-only): all geometry is uploaded once and camera + moves touch only uniforms, so pan/zoom frame cost is independent of node count up to the + 20,000-node / 200,000-relation ceilings. Zoomed-out scenes read as an additive glow + density map; edges reveal progressively by weight with gold bridges; community districts + paint as tinted region hulls with hub-derived labels; hovering or highlighting a node dims + everything outside its neighbourhood, marks its relations with directional arrows and + relation names, and shows a callout card with category, connection count, and strongest + connections. Includes two-pointer pinch zoom, keyboard browsing (arrows/+/-/F/Escape), + a screen-reader live region for scene and hover announcements, and deterministic worker + layouts that stream settling passes (measured: ~320 ms settle at 2k nodes, ~1.2 s at 20k). + Entering Every-node shows every entity regardless of overview filters; leaving restores + the person's filters. + +### Changed + +- Direct black-hole children now receive compact, deterministic orbital lanes near the black + hole instead of inheriting the farthest authored radius. Each lane keeps phase and painted + clearance, while community-child planets remain in their local moving frame; oversized Galaxy + scenes seed the same lanes before their kinematic clock starts. +- Complete Galaxy packing now uses a 4% painted-envelope clearance instead of a blanket 15% + radial allowance, keeping solar-system carriers materially denser around the black-hole + interior while preserving non-overlap. +- Explicit `orbits` links from the black hole now promote community anchors and their declared + stellar children into the central orbital carrier group, so the Orbital speed control moves + the connected nodes in both live and oversized Galaxy paths. +- Every Galaxy body now receives both motion frames: its top-level system carrier orbits the + black hole, while the body follows its immediate star/planet carrier with cached local phase; + legacy community metadata and nested moons use the same hierarchy without phase rewinds. +- Any direct black-hole edge now promotes its endpoint into the central orbital carrier group; + relation labels no longer suppress direct star/system motion. +- Galaxy physics ticks now explicitly invalidate the canvas camera, so advancing orbital + coordinates repaints visibly even when force-graph's automatic redraw loop is paused. +- Complete graph analysis now scans up to 40,000 entity rows and 200,000 raw relationships, + while the explicit all-node renderer retains its 20,000-node, 200,000-link refusal ceiling. + Live-render safety thresholds remain unchanged so oversized scenes stay on the static path. +- Show all nodes now keeps the complete sidebar live: deterministic worker layouts respond to + repel, link-distance, gravity, and advanced force controls; minimum relations, unlinked nodes, + focus depth, relation layers, ghosts, and auto-collapse filter the LOD scene without a reload. + Capped directional relation flow, reduced-motion fallbacks, visible-count status, exact-repository + code overlays, and a 200,000-link worker guard complete the release safety contract. + +- Galaxy admission now uses a tighter default carrier gap and calibrated orbital slack, keeping + more complete solar systems in the black-hole interior without sacrificing painted clearance. + +- Galaxy mode now exposes normalized controls for gravitational constant, compact black-hole + mass, independent local-solar gravity, space friction, edge-spring stiffness, and orbit + pause/play. The fixed-step Velocity Verlet field superposes black-hole carrier motion with + softened dominant-star orbits, adds bounded near-horizon frame dragging, differential tidal + stretching, and carrier-only orbital decay, preserves Hooke tethers and short-range + repulsion, and captures sub-escape drag releases into their authored star system while high + velocity releases escape. A bounded canvas layer renders the central gravity well, lens halo, + short trails, and up to 24 shallow local-star wells without adding simulation bodies. +- The dashboard Galaxy graph now caches its outer safety radius at 2× the initial painted + extent; escaped nodes are confined to that fixed envelope instead of expanding it. +- The Galaxy gravity slider now spans `0..400` while retaining the release-stable default + black-hole field of `240` and local field of `120`. Independent community stars run on a 2.5× + orbital clock and retain the calibrated default stellar well when Gravity is zero. An explicit + black hole now retains a smaller `24`-setting floor at the loose endpoint, so neither solar + systems nor their planets silently stop while the displayed control remains at zero. +- The Galaxy default orbital separation is now `60`, a 25% increase from `48`. Link and contact + projections remain contractive and correction-capped so dense layouts cannot overshoot or + ping-pong. Same-system contacts project along each declared stellar orbit so they preserve + radius and relative velocity while the dominant star remains fixed in the local system frame. +- Galaxy's `Orbital speed` control now scales local stellar rotation and whole-system rotation + around the central galaxy anchor in both live and oversized kinematic layouts. Its faster + endpoint also gives planets a modest 6% larger local orbital radius while the midpoint remains + unchanged; saved views continue using `repel`. +- Direct black-hole graph connections now classify their non-anchor nodes as black-hole + satellites, including legacy payloads without `system_anchor_id`, so those nodes rotate with + the same Orbital speed phase. +- Carrier orbit support now adopts a node's post-contact phase before advancing it, preventing + collision or boundary corrections from snapping nodes back to a stale lane angle and producing + visible jitter. +- Oversized Galaxy fallback layouts now use the complete gravity range instead of saturating near + the lower end of the slider. +- Complete Galaxy overview scenes remain expanded and physically live through 1,000 nodes and + 2,000 relations; larger Galaxy scenes and non-Galaxy full views retain the deterministic + fallback. +- Historical graph views now keep at least one ghost relation's endpoints together under + undersized node caps, and ghost evidence drilldowns resolve invalidated supporting memories + instead of a colliding live canonical alias. + +- The source-import consolidation loop now uses union-find (path halving) to merge overlapping + clusters, replacing an O(n²) nested scan with near-linear time. The `consolidation_evidence_cache` + is bounded to 1000 entries with clear-on-overflow to prevent unbounded memory growth. +- Duplicate `_is_reparse_point` implementations across 4 modules (documents, obsidian, resources, + vault) are extracted to a shared `core/fsutil.is_reparse_point` helper, eliminating code drift. +- Backend factory functions (`get_embedder`, `get_vector_index`, `get_transport`, `get_extractor`, + `get_resource_extractor`, `get_postgres_introspector`) now declare Protocol-based return types, + making the interface contract explicit and enabling static type checking. +- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string + interpolation, eliminating a fragile pattern that could theoretically be exploited if float + representation ever produced non-numeric characters. The dead `_graph_edge_visibility_sql` + helper is removed; `_graph_edge_history_visibility_sql` returns `(sql, params)` tuple. +- The dashboard graph scene endpoint (`/api/graph/scene`) now accepts a `presentation` + query parameter (`quality` or `all`); the `all` profile requests the complete entity + projection up to 20,000 nodes and 200,000 relationships with an explicit worker-backed + LOD renderer, while `quality` retains the existing overview cap. +- Galaxy overview now retains the strongest cross-community bridge edge for every visible + system pair plus every direct global-anchor link, so inter-system and black-hole + relationships appear connected instead of isolated. +- Added `docs/GRAPH_PERFORMANCE.md` documenting the two graph presentation profiles, + worker layout, progressive rendering, and the 20,000-node / 200,000-relation safety + ceilings. +- Source-import manifest paging now uses keyset (cursor) pagination instead of OFFSET, + so concurrent writes during a source re-import can no longer skip or duplicate rows + mid-scan (PR #154). +- Local file/folder imports now accept up to 1,500 files per batch (was 500), with the total + batch ceiling scaled to 750 MB so the average per-file allowance is unchanged; document-wizard + scanner ceilings move in lockstep. +- Folder imports report truncation explicitly: a folder with more matching files than the + ceiling now warns and returns `truncated`/`matched_total`/`unreadable` fields instead of + silently importing an alphabetically-first slice that looks complete. +- The `engraphis_prime_agent` integration now ships a fleet wrapper that boots multiple + sub-agents (researcher / coder / reviewer / writer) with one shared memory workspace, + with fleet-wide configuration via `ENGRAPHIS_REPO` and per-agent override via the + `repo=` argument; the `engraphis-prime-agent install` subcommand configures a target + prime-agent configuration file and `python -m engraphis_prime_agent install` + works directly from the installed wheel. + +### Fixed + +- The Every node dashboard view no longer crashes on open: a declaration-order bug in the + renderer threw during construction before anything painted. The scene canvas also keeps its + accessible role/label now instead of being hidden from assistive technology. +- Prompt-only recall now honours an opt-in `ENGRAPHIS_RECALL_ARM_CANDIDATE_K` env var (and + the matching `RecallEngine(arm_candidate_k_cap=...)` constructor argument) that clamps both + the first-page widening (`candidate_k + min(250, candidate_k*3)`) and the second-page + ceiling, so operators can trade untrusted-scope widening for latency on the new k=50 + default without code changes. The accompanying benchmark test, + `test_recall_arm_candidate_k_cap.py`, uses a 300-fact trusted corpus because both requested + arm depths clamp to the same 49 rows on a smaller corpus and the timing assertion was + unreliable. Default behaviour is unchanged. +- Import previews now page the source manifest exactly like execution, so vaults whose manifest + outgrew one list page (10k identities) no longer show manifest-only files as silently absent + from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped. + Manifest pages now use one read snapshot and de-duplicate identities that move across a + cursor while a concurrent import updates their path. +- Importing more than 1,000 files through the dashboard no longer fails with "Internal Server + Error": wizard upload routes parse multipart forms under the advertised 1,500-file ceiling + instead of Starlette's hidden 1,000-part parser default, oversized batches return a clear 413, + and large vault uploads no longer trip the dashboard's 8 MB default body limit. +- One unreadable or pathological file (locked, deep-nested JSON, concurrent writer) now degrades + to a per-file error instead of rolling back the entire import batch with a 500. +- Document/Obsidian import jobs whose worker died with the process are marked failed on the next + status poll (`worker_lease_expired`) instead of reporting `running` forever. +- Cloud-placeholder files (OneDrive Files-On-Demand) on Windows are hydrated and imported rather + than rejected as non-regular files; symlinks and junctions remain blocked. +- Galaxy layout now packs each complete solar-system envelope before orbital seeding and keeps + those envelopes separated with rigid carrier translations during live motion. Compact server + targets can no longer stack large systems near the black hole, while local planet positions, + velocities, event-horizon clearance, and the finite outer boundary remain intact. +- Galaxy hierarchy authority is now label-independent: an authored `anchor_role="global"` + selects the central mass regardless of its display name or evidence mass, while unannotated + compatibility scenes fall back deterministically through mass, rank, degree, and stable ID. +- The central black-hole adornment now advances a visible spin phase with the Galaxy physics + clock, so an otherwise satellite-free core no longer appears frozen while remaining the fixed + origin for the surrounding galaxy. +- Near-horizon curvature is now measured from each system's dominant-star carrier through a + bounded black-hole-scale band. A wide solar system can no longer be misclassified as already + inside the gravity well and have its ordinary galactic angular momentum drained. +- Galaxy systems revealed after the initial render, restored with zeroed velocity, or shown as + singletons now receive their own black-hole-frame tangential admission instead of being marked + seeded while stationary. Oversized Complete views use a bounded node-only hierarchical orbit + clock, and visible historical ghosts move as massless test particles without entering gravity, + contacts, or momentum. +- Galaxy members that appear before their eventual star, arrive through a later reveal, change + parent systems, or return with a zeroed local phase now receive one star-relative circular seed + without recoiling the dominant node. Existing healthy stellar orbits remain untouched. +- Dominant community stars now remain inertial at the centre of their moving solar-system frame. + Local gravity, stellar contact, dense separation, seeding, speed limiting, and the oversized + kinematic fallback move planets around that star instead of wobbling the star with its planets. +- Galaxy Reheat now wakes the persistent fixed-step clock without injecting bonus physics slices, + and cross-system separation is bounded so it cannot kick entire solar systems into a visible + fast-forward, ping-pong, or speed-cap pulse. +- Ledger graph reloads now retire and cache-bust a renderer that fetched successfully but failed + to register, instead of replaying the same broken asset response. +- Existing Galaxy preferences migrate only the retired `48` orbital-separation default to `60`; + deliberate custom values, including Gravity `0`, remain unchanged. +- Source-import hardening lands via separate PR #154: deterministic missing-item detection + now guards an unknown baseline instead of reporting spurious misses, denial-guard + supersession binds digests computed from the parsed record rather than raw input, + import-job finalization is generation-guarded so a stale worker cannot finalize over a + newer attempt, and the finalized-state check completes in constant time. +- Smart MCP `engraphis_session` now accepts `action="start_session"` and `action="end_session"` + (the full tool-name forms the Command Code harness sends when translating the AGENTS.md + `engraphis_start_session`/`engraphis_end_session` shorthand), normalizing them to `start`/`end` + before the pattern validation instead of rejecting them with a 400. + +### Documentation + +- `docs/LLM_PROVIDERS.md` now warns Windows users that `cmd` may resolve to `cmd.exe` + (the built-in Windows command interpreter) instead of the Command Code CLI, and explains + how to diagnose and work around the PATH collision. + +### Security + + +- HTTP error responses in `vault.py` and `service.py` no longer echo user-controlled paths back + to the client, preventing filesystem structure leakage (SEC-001). +- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string + interpolation, eliminating a fragile SQL construction pattern (SEC-002). +- The `pypdf` dependency floor is raised to `>=6.15.0` to address PYSEC-2026-3655 and + PYSEC-2026-3656 (arbitrary code execution via crafted PDF objects). + +### Removed + +- The Hermes memory-provider plugin integration (`integrations/hermes/`, its + `ENGRAPHIS_HERMES_*` environment surface, and its integration test) is withdrawn from + the repository ahead of the v1.6 tag. The provider remains available in the v1.5 + release history for anyone who already copied it. +## [1.6] - 2026-08-15 + +Minor release advancing the v2 engine through schema 16 with deterministic sync state, trusted +local document and Obsidian import, tighter trust boundaries, synchronized agent guidance, and +stronger release and evaluation evidence. + +### Changed + +- The dashboard graph now separates two explicit presentation budgets. **High quality** keeps the + interactive renderer for focused exploration, while **Show all nodes** requests the complete + entity projection and uses a worker-backed level-of-detail renderer with batched WebGL2 points, + a bounded Canvas fallback, progressive relationship disclosure, and no live force simulation. + The all-node profile supports up to 20,000 entities and 200,000 relationships; larger filtered + results fail with an explicit capacity response instead of silently sampling an incomplete graph. + Repository and entity-type filters remain the supported route for narrowing oversized views. +- The Ledger knowledge graph now defaults to evidence-mass Galaxy gravity. The `galaxy-v6` + scene contract retains the magnitude of degree, PageRank, support, and repository evidence; + one mass value determines both visibly distinct star radius and gravitational pull. Deterministic + mass-ranked cores and orbital bands form local solar systems. The highest-evidence node becomes + the central black hole, rendered at least twice the ordinary evidence radius so its event horizon + remains visible at minimum Node size. Deterministic logarithmic arms seed a non-uniform disk, and + a fixed-step leapfrog clock advances eccentric, differential system orbits through an + evidence-derived core-plus-halo potential. Gravity now treats the dominant evidence node as + the explicit black-hole source: its field is `240` at the default slider and `864` at maximum, + while local solar-system, bridge, and drag gravity receives exactly half (`120` and `432`). The + smooth response remains true-zero and monotonic, and the rest of the core community contributes + through the softened halo rather than silently inflating the black-hole node's mass. External + solar systems also exert a weaker softened mutual field on one another: nearby evidence-heavy + systems perturb each other without requiring a relation edge, while the black hole remains the + dominant galaxy-wide potential. + The controlled centre pull is also doubled, retaining an immediate radial response rather than + hiding the stronger field behind a slower projector. Galaxy dynamics no + longer depend on D3 alpha decay, render cadence, or + force-directed settling. Galactic and local-system motion now uses a `0.021328125` fixed timestep, + another 30% slower than the preceding `0.03046875` cadence, while direct pointer movement remains responsive. + Every live seed coordinate and local orbit begins another 20% inward, putting + system centers at 40% of the original Galaxy radius. While live, the black-hole frame follows a + controlled inward spiral: Gravity 0 holds the loose seeded radius, and default/maximum convergence + now advances the same inward trajectory at 70% of its immediately preceding speed. Gravity slider input also + applies an immediate, reversible system-center response without changing local geometry or velocity: + its full range spans 40% radius contraction, and default-to-maximum visibly contracts about 31% + synchronously while maximum gravity retains its 3.6x field; + outward attempts still receive a 110% radial counter-projection and can never increase their + radius. Link distance now drives same-system evidence springs with twice the prior response and + a squared scale curve. Its default is now `8`, giving connected nodes a 0.25x rest length, 75% + tighter than the preceding default, while the full range still spans 1/16x tight orbits through + 25x loose orbits without allowing + cross-system relations to collapse the galaxy. A bounded mass-weighted positional relation + constraint makes Link distance respond immediately while preserving each solar system's centre + of mass. Orbital separation now owns an explicit same-system safety envelope instead of relying + on an imperceptible softening side effect: both its positional response and cushion scale are + doubled, spanning zero added space through 30 world units while preserving evidence-mass centre + of mass and removing closing energy. Dense projections retain the requested + compact radius and report unavoidable projected overlap instead of silently expanding the disk. + Near the core, the direct close-encounter term is 25% lower and its weight moves into the smooth + halo, reducing ejection without weakening the total evidence-mass field. Legacy layouts and + `/api/graph` remain available. + +### Fixed + +- Replace the packed-disk Galaxy regression with persistent softened-Newtonian dynamics. Galaxy + phase space is isolated from Compact and other legacy layouts, angular momentum is preserved + across layout changes, and large stars are visibly distinct. A smooth evidence-mass field keeps + each solar system bound while direct star-to-star gravity supplies smaller organic perturbations; + evidence bridges remain visible provenance without injecting non-central orbital energy or + relation springs compressing the scene into a graph blob. Dragging now leaves the fixed-step + Galaxy clock live without alpha changes, global reheats, reseeding, or detaching any global force. + The pointer owns exactly one moving mass source while every live body follows its softened + inverse-square gravity, whether linked or unlinked; distance and evidence mass determine the + response, and explicit relations only strengthen it. A bounded once-per-physics-slice projection + makes nearby unlinked bodies visibly follow without teleporting, freezing the rest of the graph, + or depending on pointer-event frequency. Pointer events update only the source position and + field membership--the gravitational response is sampled by the 30 Hz physics clock. The selected + Link orbit supplies a safe periapsis, + tangential momentum is retained, and release adds no wake or impulse. Freeze remains the sole + explicit motion gate. The explicit **Reheat layout** action now gives Galaxy a finite custom- + solver relaxation burst (30 extra steps, or 12 for large live scenes) instead of merely ensuring + its already-running clock exists; repeated clicks coalesce, current orbital phase is preserved, + and no D3 alpha, random kick, or orbital reseed is introduced. +- Eliminate false Galaxy "reheating" caused by two local solvers fighting each other every tick. + Link distance and Orbital separation now share the same lower-bound target, the redundant live + velocity spring no longer injects energy alongside the positional constraint, and close-range + separation dissipates closing radial motion. Correction-distance diagnostics expose whether a + system is genuinely settling without changing its orbital phase or waking D3. +- Stabilize dense solar systems and high-degree hubs without weakening their gravity. Link and + Orbital-separation constraints now sample one immutable phase and apply one simultaneous, + mass-balanced update per node instead of stacking an update for every incident edge. Aggregate + position and contact-velocity caps prevent a hub slingshot, while a system-relative speed fuse + damps only anomalous member motion and preserves each free system's center-of-mass orbit. +- Show unlinked entities in new Ledger and Classic graph views by default so isolated evidence is + not silently omitted. The toolbar still switches to a linked-only view, and persisted user or + saved-view preferences remain authoritative. +- Keep large Galaxy scenes interactive by replacing quadratic entity-visibility scans with + set-wise privacy pruning, driving evidence lookups from the requested relation IDs, and making + Ledger retries cancel and supersede stale scene requests safely. + +### Added + +- A dependency-free, source-neutral local document importer for Markdown, plain text, + reStructuredText, HTML, JSON/JSONL, CSV/TSV, configuration/XML text, and stdlib-readable + source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB documents, with existing local + adapters for PDF text, image OCR, and explicitly local-model audio/video transcription. + `engraphis import documents` and the + dashboard’s **Import local documents** flow + provide strict previews, safe per-file reporting, resumable source manifests, temporal + re-import history, and explicit conflict choices. Obsidian remains the rich Markdown adapter. +- Offline, repeatable Obsidian-vault import with strict dry-run previews, source + safety exclusions, resumable per-note progress, temporal re-import history, and + a trusted-owner dashboard wizard that uploads only `.md` note bytes plus content-free + attachment manifests. It ships through + `engraphis import obsidian`, the `engraphis-import` console alias, and a deprecated + v1 seed-script wrapper that maps legacy namespaces to v2 workspaces. + +### Security + +- Fail closed on new `user`-scope memory writes until records carry an immutable owner identity; + preserve historical reads and the existing promotion rejection instead of presenting + workspace-bound rows as private personal memory. +- Parse bounded dotenv-style configuration without an optional runtime dependency, and load it only from the owner-private + `~/.engraphis/config.env` or an absolute owner-private file selected by + `ENGRAPHIS_ENV_FILE`; arbitrary working-directory `.env` files are not a trust boundary. +- Clarify Cloud Sync credential-origin binding, secret-manager-only unattended credentials, + version-3 rollback evidence, and the deliberately incomplete first-contact state without + claiming an untrusted relay can prove a complete device set. +- Advance through schema 15: schema 12 classifies content-free erasure markers so local-only + `never_export` markers remain private and only validated `remote_erasure` markers may cross + sync boundaries; schema 13 adds per-memory hybrid logical clocks for deterministic + descriptive-state sync and durable, content-free proof that a memory crossed a sync boundary; + schema 14 adds Obsidian collection and import manifests; schema 15 generalizes them to + source-neutral `documents` and `obsidian` adapters, preserves temporal source lineage, enforces + adapter/job and target-scope integrity, and retains only bounded, content-free per-job + format/result metadata. Schema 16 persists the optional session target on import jobs and + enforces exact session equality for source lineage and job items. +- Bind each trusted-owner dashboard document or Obsidian run to an expiring, owner-session-bound, + one-time preview token over the exact note/document bytes, attachment manifest, target, source, + and conflict policy; invalidate changed client previews and keep job polling and cancellation + bound to the workspace where the job started. +- Make read-only Store inspection write-free for SQLite and injected/SQLCipher connectors: + require injected connectors to expose `open_read_only(path)`, open existing checkpointed files + with `mode=ro&immutable=1` plus `PRAGMA query_only=ON`, and reject missing paths or active + WAL/rollback journals before a connector can create or recover state. + +### Fixed + +- Publish separately backed vector-index changes for service memory-title edits only after the + canonical Store row, FTS mirror, portable vector, audit, and commit succeed; late Store failures + publish nothing, while post-commit provider failures preserve canonical state and record + content-free repair debt. +- Defer separately backed vector-index upserts and deletes during sync until each canonical apply + batch commits, coalesce repeated IDs, publish nothing on late Store failure, and record + content-free repair debt if the provider fails after commit. +- Synchronize the portable memory skill with the live Smart nine-tool and Classic 34-tool + surfaces, including the two intentionally narrower Smart overlap schemas, trust/origin fields, + planner and response bounds, context-savings filters, receipt anchors, and expanded health + output. +- Separate append-only event rows from episodic memories in every agent guide: event rows are not + recalled, deduplicated, reinforced, or consolidated, while recallable recurring outcomes use + governed episodic memories. +- Make every documentation and image target in the PyPI long description an absolute canonical + repository URL, and add offline contracts that reject future relative-link regressions. +- Replace unregistered external and consolidation numbers in the context-efficiency image with a + checksum-bound public fixture artifact; publish exact commands plus suite/config digests and + retain only deterministic aggregates reproduced by the checked-in offline fixtures. +- Align the canonical offline gate, protocol-only `core/` boundary and outer + `engraphis/factory.py` composition root, deterministic versus entrypoint vector-backend + selection, persistent embedding identity, v1 migration repair reporting, trusted configuration, + and hosted/local boundaries across public docs. +- Remove the obsolete consolidation source-supersession option across public docs; consolidation + now exposes only the explicit clustering, archival, profile, inference, structured, LLM, time, + and level controls implemented by the engine. +- Document the official LongMemEval-V2 six-variant, five-budget execution matrix end to end, + including clean-checkout completion receipts, exact source-question coverage, privacy-safe + export binding, matched `context_k=2` comparators, and memory-type count evidence. + +### Added + +- Dashboard Settings panel and startup banner now display the running Engraphis + version, fetched from the existing `/api/info` endpoint. + +### Fixed + +- Wrap `engraphis_get_memory` post-inspect body in error-redaction try/except + matching all other Smart gateway tools, preventing internal SQL errors and + file paths from leaking through FastMCP error responses. +- Fix malformed SQLite URI on Windows in `_keyword_search` and `/api/memories` + fallback paths: use `Path.resolve().as_uri()` instead of bare string + interpolation, matching the store's URI construction. +- Apply `_graph_csv()` limit enforcement to the `/graph` endpoint's `layers` + parameter, matching all other graph endpoints. +- Log a warning when `ENGRAPHIS_LLM_EXTRA_HEADERS` contains invalid JSON + instead of silently dropping the headers. + +## [1.5] - 2026-08-04 + +Minor release advancing the v2 engine to schema 11 with governed recall recovery, +embedding-space safety, reproducible release evidence, and stronger offline memory-quality gates. + +### Security + +- Add opt-in immutable Hugging Face model provenance enforcement for remote embedding models, + rerankers, and chunk tokenizers, with revision plumbing across v2 services and local front ends; + model loaders now explicitly disable remote code execution while local paths remain supported. +- Refuse redirects in loopback startup-health and PyPI metadata probes, and treat shortcut icon + paths as data across PowerShell, macOS shells, and Linux desktop files. +- Add an offline release gate proving that quarantined, review-pending, and caller-self-approved + external content is downgraded and stays outside prompt recall, including direct poisoned + edges and pending-memory-supported edges, while trusted graph evidence remains available. +- Reject control characters in hosted access and refresh credentials, including credentials + returned during rotation, before any network or persistent-state use. +- Restrict the Inspector API to loopback clients when no API token is configured, and exclude + pending or quarantined memories from managed-cloud snapshots. +- Harden update checks with bounded, link-safe cache reads, atomic private cache writes, strict + version limits, finite timestamps, and validated HTTPS or loopback-HTTP URLs. +- Route private credential and state-file reads through one bounded, race-resistant boundary that + rejects links, reparse points, non-regular files, invalid UTF-8, and oversized input. +- Raise the optional `cryptography` floor to 50.0.0 to exclude known vulnerable releases. +- Require the patched pytest line in supported release environments and give every CI pytest + invocation a private runner-owned temporary root, including the Python 3.9 compatibility lane. + +### Fixed + +- In schema 11, migrate pre-review trusted memories to explicit approval without releasing quarantined or + ambiguous evidence; recover the exact historical local-agent service-gate downgrade and expose + content-free eligibility diagnostics when review gating causes zero-result recall. +- Replace per-backend vector version checks with one active embedding-space fingerprint, make + Sentence Transformer/API spaces durable, rebuild on every space transition (including + A -> B -> A), and disable vector recall throughout interrupted or mixed-space rebuilds. +- Describe the stable sqlite-vec backend accurately as native exact KNN, add a dedicated + `vector` install extra, require the upstream release containing the vec0 delete fix, + and let server entrypoints select it automatically with a safe NumPy fallback. +- Make contradiction supersession failure-atomic so a failed predecessor invalidation cannot + leave two live facts. +- Bound reinforcement stability and migrate existing out-of-range retention state to schema 10. +- Preserve v1 graph endpoints during migration and publish migrated databases only after a + validated staging database is complete. +- Reject partial API embedding batches instead of persisting zero-vector placeholders; give + semantic embedding spaces durable, secret-free identities; and batch SQLite vector hydration. +- Prevent CLI metadata from overriding trusted local provenance and honor the selected namespace + for grounded chat. +- Keep service replacement atomic when the prior SQLite handle cannot close, and make + authoritative cloud denials fail closed in-process before their durable state writes complete. +- Keep tag publication reachable by defining every workflow-verified release check in the public + evidence manifest, including CodeQL, reproducible distributions, and fresh artifact smokes, and + bind the evidence provenance to the completed code-security job. +- Repair GitHub releases only from the frozen, hash-verified distribution set, excluding any + publisher receipt or other unverified file left in the working distribution directory. +- Exercise both the exact tagged wheel and source distribution in clean Python 3.9 environments, + including dependency resolution, pip check, core CLI startup, and in-memory remember/recall; + declare the CI build and vulnerability-audit tool versions instead of relying on runner images. +- Eliminate duplicate NumPy vector writes and commits after ordinary remembers, embedding rebuilds, + sync application, and title re-embedding. Store-backed indexes opt out only when they share the + exact canonical Store; separately-backed and injected indexes retain explicit synchronization. +- Replace row-by-row NumPy scan hydration with one filtered, fixed-width matrix read while + preserving temporal/scope filters, malformed-dimension isolation, deterministic ties, and + immediate visibility of newly written vectors. +- Surface best-effort graph, entity-linking, evolution, conflict-repair, and index-audit failures as + per-engine rate-limited, payload-redacted warnings instead of silently suppressing operational + faults. +- Honor the configured embedding dimension, vector backend, model revisions, reranker, and encrypted + connection path consistently across every v2 front end and the sync/consolidation CLIs, preventing + an operational command from accidentally rebuilding a persisted semantic space with defaults. +- Commit standalone entity links without closing a caller-owned transaction, and make the Windows + shortcut installer retain its redacted Desktop launcher fallback when PowerShell is unavailable. +- Serialize and make Store shutdown idempotent, add context-manager and weakref-finalizer cleanup, + and keep the offline suite from loading production embedding/reranker models merely because a + developer has optional semantic dependencies installed. + +### Added + +- Extend `eval.vector_scale` with input-identical NumPy/sqlite-vec exact-KNN comparisons, + explicit backend identity, deterministic result hashes, and setup-excluded latency envelopes. +- Add `engraphis-cli review list|approve` for content-free, scoped bulk review. Approval is + dry-run by default, requires a reason and one batch confirmation, excludes quarantined records, + and supports explicit ids, source/repo filters, and the legacy-agent signature. +- Add embedding coverage and prompt-eligibility health to service stats, stamp service ingress and + writer-policy provenance, and document recall recovery without direct database surgery. +- Add deterministic reinforcement and adversarial-memory release gates plus a hash-bound LoCoMo + evidence-repair manifest and complete pinned-dataset retrieval diagnostics. +- Pin the Pyright contract for core, backends, and external evaluation; require it in CI and release + evidence; verify distribution contents; generate a reproducible CycloneDX SBOM; byte-compare + normalized repeat builds; smoke fresh wheel/sdist installs; and bind complete-tree CodeQL to the + tag gate. +- Smoke all 14 installed console entrypoints from their distribution metadata and generated wrapper + paths for both wheel and source-distribution installs, with bounded timeouts and diagnostics. +- Add opt-in semantic-confidence calibration for retrieval-arm experiments while preserving the + existing default ranking until paired external non-inferiority evidence is available. + +## [1.4.5] - 2026-08-04 + +Patch release aligning the package, runtime, commercial manifest, and plugin metadata at 1.4.5 +for the governed recall/write hardening, schema 8 migration, Smart MCP gateway fixes, and +credential-safe evaluation capture included in PR #111. +Schema 9 adds repository-scoped tombstone support and performs a one-time entity-canonicalization +repair; `confidence` and `pinned_at`/`unpinned_at` were introduced by the preceding v7-to-v8 +migration. Known-repository tombstones are terminal only within that repository, while legacy +repo-less tombstones remain global. + +## [1.4.0] - 2026-08-02 + +Engraphis 1.4 makes the compact Smart MCP gateway the default agent interface while preserving +the complete Classic surface for existing integrations. It also strengthens external-write +governance, +bounded context delivery, secure erasure, and release/runtime hardening, and moves the v2 SQLite +schema to version 9 (schema-level additions include repository-scoped `memory_tombstones`; the +upgrade also performs a one-time entity-canonicalization repair), which migrates automatically on +first open. Known-repository tombstones are terminal only within that repository; legacy repo-less +tombstones remain global. + +### Upgrade notes + +- `engraphis-mcp` now exposes nine Smart tools instead of 34 direct tools. Clients that depend on + the former names should switch their server command to `engraphis-mcp-classic`; HTTP clients can + use `engraphis-mcp-http --classic`. +- Existing v2 databases migrate automatically to schema 9 on first open; the change is additive + and requires no manual step. +- The NumPy-only core supports Python 3.9+. Dashboard, MCP, documents, Cloud Sync, and `all` + installations require Python 3.10+ because their supported dependency versions require it. + +### Added + +- Smart MCP is now the zero-configuration `engraphis-mcp` default. It exposes nine compact tools: + sessions, prompt-ready recall, durable memory, discovery, validated read/action execution, and + governed record read/update plus conflict review. `engraphis-mcp-classic` preserves the former 34 + direct tool names and legacy alias response shapes for pinned integrations. +- The first-party `@engraphis/pi` package under `integrations/pi` exposes that Smart MCP surface + as native Pi tools, verifies the Engraphis 1.4.x handshake, and ships with independent npm + packaging and release gates. +- Hosts that retain their own conversation history can call the non-MCP + `POST /api/adaptive-context` endpoint. Advanced proactive context also supports a bounded, + content-lean compact response while Classic keeps its full response by default. +- Opt-in planned recall adds a bounded deterministic planner, an injectable planner protocol and + optional LLM backend, priority-weighted multi-query RRF, post-rerank memory-type maxima, stable + context revisions, and diagnostics-only planner traces across Python, service, REST, and MCP + recall surfaces. The default remains the existing single-query path (now on schema 9). +- A 40-task context-routing stress fixture, four-way five-budget ablation harness, pinned + LongMemEval-V2 planner configurations, and evaluation-only imported-resource hierarchy prototype + encode local regression gates and matrix tooling. Official benchmark, safety, and hosted-cache + artifacts remain mandatory before any default or schema change. + +### Security + +- The Pi extension preserves the Smart gateway's destructive boundary: every discovered + state-changing action requires an explicit Pi confirmation, fails closed without a dialog, + and consumes its capability after one approval attempt so unknown outcomes are not retried. +- Public writes now enter an explicit review gate: MCP, REST/dashboard-intent, import, sync, and + extractor ingress are pending regardless of a caller-supplied trust label; detector matches are + quarantined before they can contribute to prompt context or derived state. Human approval creates + a fresh audited successor only through the CSRF-bound dashboard action or an interactive TTY + command, never through MCP or a general REST endpoint. Historical rescans demote non-approved + records and retire their derived bridges. Public history, graph/code retrieval and indexing, and + consolidation apply prompt eligibility before ranking or capacity decisions, so pending or + quarantined records cannot influence prompt-visible results through derived bridges. +- Smart MCP authorization now fails closed: discovery and read execution require viewer access, + state-changing execution requires admin access remotely, and pure reads do not emit write-side + telemetry receipts. Executor output is bounded without retrying or double-running handlers. +- Tokenless remote requests to the read-only recall and repository-graph API now fail closed; + health and OpenAPI discovery remain public. +- The deterministic detector now uses a pinned Unicode TR39 15.1.0 ASCII projection rather than + a short hand-picked table, covering additional Latin, Cyrillic, Greek, mathematical, and legacy + glyph substitutions without an online lookup or runtime dependency. +- Secret scanning is cycle-safe and depth-bounded, and PostgreSQL source identities are reduced to + credential-free digests for both URI and libpq keyword DSNs. + +### Fixed + +- Secure erase now rebuilds shared-edge provenance from surviving support rows. Historical-only + support remains available to time-travel reads while the edge is closed in the current graph. +- API embedding backends now validate dimensions, response cardinality, item indices, finite + values, and normalization before accepting provider output, with consistent bounded fallback. +- Planned-recall datasets reject dangling references, vector dimensions are bounded across local + and SQLite backends, and sync imports accept pinned state only when it is the literal boolean + `true`. +- The production image now removes build-only pip and its vendored dependency snapshot after + installation, eliminating unreachable vulnerable packages from the runtime attack surface. +- Automatic LLM retention supervision now discards proposed retention values when it + demotes an unapproved `critical` label; legacy poisoning rescans also honor + `--keep-unlabelled`, and code-memory exports apply eligibility before their result cap. +- Scope promotion now preserves an owner-approved detector match and its stable claim identity + without re-quarantining the approved derived copy. +- `engraphis connect` now treats its printed summary as a provider trust boundary: only bounded, + printable registration metadata is rendered, preventing malformed control-plane values from + being reflected into CLI or JSON output. +- Explicit local `engraphis-cli ingest` commands now record local-owner-approved provenance, + allowing their memories to appear in ordinary subsequent CLI recall. HTTP, MCP, import, and + file-ingestion boundaries remain pending review. +- The standalone v1→v2 migrator now refuses in-place and pre-existing output paths before + opening either database, preventing accidental mixing of legacy source history into a v2 target. +- Cloud Sync now closes failed HTTP response streams without reading their untrusted error bodies, + preventing descriptor leaks during repeated relay failures. +- Hosted customer clients now bind provider credential/session state before persistence and + preserve sanitized authorization/billing outcomes when an HTTP error body is truncated, so a + one-time connection cannot be stranded by an unreadable state file or retain stale paid badges. +- Authoritative hosted managed-compute authorization denials now immediately settle local + entitlement presentation state, so a revoked, lapsed, or de-authorized account is not shown + stale paid feature access while awaiting a background refresh. +- The production image health probe now follows the active IPv4 or IPv6 loopback listener, + preventing a Railway IPv6 deployment from being marked unhealthy while its readiness route + is serving traffic. +- Grounded recall's absolute support floor ignores titles and non-finite semantic scores, so + display text cannot independently make an answer eligible. +- Keyed-claim deduplication ignores harmless punctuation, and legacy zero, negative, or non-finite + stability values use the documented one-day default instead of producing invalid decay scores. +- Approval requires a non-empty audit reason, accepts only a live pending source, and preserves the + reviewed claim's pin, sensitivity, and keyed identity on its approved successor. +- The zero-config Compose quickstart remains loopback-only; a LAN deployment is an explicit, + token-protected operator choice and cannot inherit the local Docker bridge trust exception. +- Credential-shaped values are rejected before capture can create memory, FTS, vector, event, or + sync copies. `retire` is the canonical temporal lifecycle operation; targeted `secure_erase` + removes an already-leaked record and known local derivatives while reporting physical limits. +- The standalone MCP-over-HTTP launcher is explicitly loopback-only. Remote MCP clients must use + the dashboard's authenticated `/mcp` endpoint instead of an unauthenticated FastMCP bind. + +### Changed + +- MCP-over-HTTP has a packaged `engraphis-mcp-http` command and a generic local setup guide. The + project makes no client-specific integration claim without a maintained guide and integration + test. +- `.env.example` now mirrors runtime defaults for decay, context packing, loop cadence, and recall + depth so copied configurations do not silently override the documented behavior. + +## [1.3.0] - 2026-08-01 + +### Added + +- The optional `hosted-eval` extra adds guarded hosted-Luna productivity evaluation with a + redacted public evidence exporter. +- Protected public benchmark workflows now support redacted hosted and retrieval evidence runs. + +### Security + +- Untrusted ingress now fails closed: provenance and extractor metadata are allowlisted, suspicious + records are quarantined before embedding, linking, graph extraction, resolution, recall, or + grounding, and `scripts/rescan_poisoning.py` can retroactively label or quarantine old records. +- Trust is preserved across resolution, structured graph writes, consolidation, entity profiles, + and review paths. Untrusted records cannot mutate or promote trusted memory, and derived outputs + remain trusted only when every source is explicitly trusted. + +### Documentation + +- README and release guidance now match the current install extras, public entry points, product + boundaries, and focused MCP/provider documentation. + +### Fixed + +- Public server entry points now share the v2 service, keeping recall behavior consistent across + the dashboard, server, Compose, Classic, and MCP-over-HTTP. +- Keyed mutable-fact replacements now load their live predecessor directly, so reworded updates + preserve history without relying on vector top-K recall. +- Versioned deterministic embeddings now rebuild persisted vectors after a mapping change, keeping + existing databases searchable after an upgrade. +- Prompt-facing recall now widens candidate search when untrusted results crowd out trusted + evidence, while keeping expansion bounded. Title text now contributes to absolute support floors + for grounded and hosted recall. +- Hosted productivity evaluation now scores canonical, acceptable, or supporting-evidence answers + with strict natural-language framing instead of token containment or raw JSON text. +- Hosted-Luna workers on Windows now establish kill-on-close containment before sending input; a + failure refuses the request, and timeouts clean up the full worker tree. +- Poisoning rescans preserve existing temporal validity boundaries and invalidate affected edges + without overwriting governed history. + +### Changed + +- CI and release/install metadata now cover Python 3.13 and 3.14. + +## [1.2.5] - 2026-07-31 + +### Added + +- `engraphis_context_savings` aggregates validated, content-free recall receipts by workspace, + repo, operation, and token-counter identity. The view is available through the service, + dashboard, and read-only APIs. +- Recall supports an explicit adaptive candidate-depth experiment while retaining the historical + fixed depth by default. Performance reports record requested and actual candidate depths. +- `MemoryEngine` and `MemoryService` now provide adaptive context routing: bypass retrieval when + prompt history fits, use compact recall when support is strong, and fall back to bounded recent + history when support is weak. +- `eval.productivity` measures task completion, corrections, agent turns, memory calls, latency, + and model-facing tokens. +- Chunk ingestion can enforce budgets with a configured Hugging Face tokenizer and records the + counter identity, target, and overlap in chunk metadata. +- Offline adapters now cover MemoryAgentBench, LoCoMo-Plus, and Mem2ActBench, with a paired + full-history versus Engraphis code-agent analyzer. +- Public benchmark evidence can carry source hashes, repository state, environment and model + provenance, secret-redacted commands and URLs, content digests, and adjacent immutable SHA-256 + files. + +### Changed + +- Context-economy evaluation now compares full history, a same-budget recency window, and hybrid + recall while accounting for indexing cost. +- Official LongMemEval-V2 output has a dedicated redacted evidence exporter that retains the + official QA, token, and latency measures without publishing prompts, answers, model output, or + retrieved context. +- Folder-sync dry runs no longer create a remote directory or persist a local device identity. + +### Fixed + +- Sync rejects malformed scope/repo combinations and every peer-driven visibility change for an + existing memory, including malformed legacy rows. Scope promotion or repair remains a local, + explicit governance operation. +- Workspace consolidation excludes session-private memories and partitions digests and entity + profiles by their exact visibility owner, preventing cross-repo or cross-scope summaries. +- Tokenizer-aware chunk overlap can no longer exceed the configured prose budget or emit a + duplicate overlap-only record before an oversized paragraph. Invalid token counters fail + closed instead of silently producing mis-sized chunks. +- Ledger graph interactions preserve manually selected nodes during refreshes. +- The new evidence guide is included in wheel and source distributions. + +## [1.2.2] - 2026-07-30 + +### Fixed + +- Cloud Sync now continues past legacy plaintext, malformed, and tampered relay objects while + still failing closed for each object. Later authenticated peer bundles apply, and the affected + sync round is explicitly reported as incomplete rather than successful. +- Security and sync documentation now consistently distinguish end-to-end encrypted Cloud Sync + from the separately readable managed-compute snapshot service. +- README visual PNG exports now use their SVG canvas dimensions without hidden screenshot padding. + +## [1.2.1] - 2026-07-30 + +### Security + +- Cloud Sync now encrypts every eligible shared-workspace bundle on the client with + ChaCha20-Poly1305 before upload. The relay receives opaque deterministic bundle names and + ciphertext only; tampered, renamed, cross-workspace, wrong-key, and legacy plaintext bundles + are rejected before the merge engine. +- Cloud Sync requires a client-held 32-byte workspace key and the `cloud-sync` optional runtime. + Missing or malformed encryption configuration stops sync rather than falling back to plaintext. + +### Changed + +- Cloud Sync privacy copy now states that eligible shared-workspace changes are encrypted + end-to-end before leaving the device and cannot be read by Engraphis Cloud. Product and + security documentation separately identifies managed compute as the readable, bounded-snapshot + service it is. + +## [1.2.0] - 2026-07-30 + +### Added + +- `engraphis_recall_context` brings the MCP surface to 30 tools and is the compact, hard-budget + path for agent prompts. It returns packed context, compact source identities, strict token usage + fields, optional retrieval diagnostics, and preserves `engraphis_recall` as the full-response + compatibility surface. +- Recall and grounded recall now expose `valid_at` (world time) and `known_at` (system time); + `as_of` remains the compatible `valid_at` alias and conflicting anchors are rejected. Retrieval + defaults to the `balanced` profile; `auto` remains explicit opt-in. +- MCP and HTTP remember calls can set a fact's world-time `valid_from`; recall, grounded recall, + and the compatibility answer tool can run a point-in-time `as_of` query. +- `eval.performance` reports full recall-pipeline quality, packed context tokens, and + p50/p95/p99 latency with a reproducible JSON schema and deterministic corpus scaling. +- Schema v5 adds temporal history for symbols, code edges, code-memory links, and persisted + memory-entity incidence. Code retrieval is now a first-class profile, and graph walks use + bounded sparse PageRank instead of a dense quadratic transition matrix. +- Optional `subject_key` and `claim_kind` make mutable claims explicit. Uncertain similar facts + are conservatively related while keyed or strongly evidenced contradictions supersede. +- `engraphis-benchmark/v2`, canonical workspace exports, and release-evidence manifests provide + deterministic hashes, per-question records, fixed token-budget curves, and validation before + public evidence is written. + +### Fixed + +- Supersessions now close the old fact at the replacement's effective world time instead of its + ingestion time. Superseded, corrected, promoted, merged, forgotten, and consolidated source + vectors remain available to historical semantic recall while temporal filters keep them out of + the current view. +- Non-finite write and recall timestamps fail validation instead of entering scoring or SQLite. +- Ordinary recall is observational by default, so weak nearest-neighbor results do not gain + stability merely by being returned. Grounded recall still reinforces only cited evidence, and + Python callers with an explicit use signal can request reinforcement. +- Code and PPR retrieval now restrict incident-symbol and memory-entity lookups to the reachable + frontier before applying their safety caps, and repo writes link text mentions to visible + workspace-level entities. + +## [1.1.5] - 2026-07-28 + +### Changed + +- Simplified the Ledger and Classic graph controls by removing the complete-graph action. +- Replaced the README Knowledge Graph image with the corrected Ledger screenshot. + +### Fixed + +- Ledger now has one working `Show unlinked nodes` control that reloads the intended bounded + graph view. +- Time-travel graph views prioritize support visible at the selected anchor, and graph drag + handling remains safe when browser animation-frame globals are unavailable. + +## [1.1.2] - 2026-07-27 + +### Added + +- **The complete Ledger design is now the primary local WebUI**, ported from the final + five-area design package without its sample store or unsafe design runtime. Today, grounded + Ask, Library, the advanced Graph & Relations view, Provenance, and Manage all use live v2 data. + Manage includes workspaces, reviewed local consolidation, hosted Analytics/Automation/Team + status, the full plan comparison, settings, and persisted Slate, Midnight, Paper, and Matrix + themes. +- Ledger now exposes the production grounded-answer route (`POST /api/answer`), returning a + cited answer or an explicit abstention. Graph & Relations ships the supplied graph capabilities: + five layouts, four render styles, palettes, degree/betweenness sizing, bridge detection, + valid-time filtering, superseded ghosts, focus, and automatic cluster collapse. +- The complete former dashboard remains available at `/classic`. Both interfaces expose a + visible dashboard selector and share the same workspaces, memories, receipts, and engine. + +### Changed + +- Ledger defers both the CSP-sensitive renderer and graph payload until Graph & Relations is opened, + ignores stale workspace responses, renders memory text through DOM text nodes, and provides + responsive, reduced-motion-aware keyboard focus styling. Classic loads its lazy graph vendor + dependency from its own packaged backup tree. +- Graph nodes now use oversampled, cached screen-space material rendering with face-level + texture: full-face iridescent PVD for Cyber, directional blue-violet anodizing for Galaxy, + concentric brushed copper for Solar, and horizontal satin gunmetal grain for Classic, with + deterministic low-detail fallbacks for large graphs. +- Dashboard asset URLs now carry the node-material revision and local static responses + revalidate, preventing an already-open browser from pinning the pre-material renderer. +- Pro and Team purchase actions now preserve both the selected plan and billing interval, while + existing or lapsed subscribers are sent to the plan-neutral account portal for billing recovery. + Public documentation now distinguishes hosted-account grace and recovery behavior from the + always-local, Apache-licensed dashboard and MCP write paths. + +### Fixed + +- Token-protected dashboards can now establish a short-lived signed, HttpOnly browser session + without storing the API token in browser storage. Remote peers remain denied when no token is + configured, and non-loopback v1 server startup is refused unless authentication is enabled. +- Hosted entitlement refreshes use bounded exponential backoff, terminal denials settle every + local entitlement view, inactive sessions expose no paid feature flags, and ambiguous + single-use refresh responses permanently retire the possibly spent credential instead of + replaying it. +- Recommended Automation bootstrap is resumable across partial upload/policy-save failures and + authorizes paid work before generating or locking a local snapshot. +- Release checks now enforce commercial prices and trial terms, expose skipped tests instead of + hiding them behind duplicate quiet flags, and verify the full-stack dependency imports used by + the HTTP authorization boundary. + +### Security + +- Credential state directories are owner-only, product token forms are redacted consistently + from logs, checkout overrides fail closed to validated HTTPS or loopback HTTP destinations, and + unsafe control characters can no longer reform blocked browser URL schemes. + +## [1.1.0] - 2026-07-26 + +Public 1.1.0 hosted-connect and graph-experience release. + +### Added + +- **`engraphis connect --token engr_ct_…`**: the missing client half of device connect. + `cloud_session.save_bootstrap()` is the only writer of `~/.engraphis/cloud_session.json`, + and it had no production caller: the docs told paying customers to prefer a file nothing + created, so a purchased installation could not be connected without hand-writing state. + The new command redeems the one-time connect token from the account portal against + `POST /v1/devices/connect`, saves the returned session with owner-only permissions, and + verifies `cloud_session.configured()` before reporting success. The token is sent in the + request body and nowhere else; it is never printed, logged, or written to disk, and every + refusal maps to fixed, actionable copy (an expired or already-used token is not confused + with a lapsed subscription). Session storage is pre-flighted before the exchange, so an + unwritable state directory or a `cloud_session.json` replaced by a link fails the command + *without* spending the single-use token; the customer fixes the path and retries with the + same token instead of returning to the portal for a new one. Faults that can only happen + *after* the exchange: a reply truncated mid-body (`http.client.IncompleteRead`), or an + endpoint that stops resolving before the session is written (`CloudUrlUnresolved`) are + reported as errors that say the token was already used, rather than escaping as tracebacks + that leave the customer unable to tell whether to retry. Also installed as + `engraphis-connect`. +- An `engraphis` front-door command that dispatches to the existing `engraphis-` + entry points, so the command the account portal displays is runnable as shown. +- A stable per-installation identity at `~/.engraphis/client_identity.json` (random ULIDs, + not a hardware fingerprint) so reconnecting a machine updates its existing installation + instead of registering a new device every time. + +### Removed + +- Removed an unimplemented hosted export claim from public product surfaces. + +### Changed + +- Managed compute consent now travels with the cloud account: an installation connected to + Engraphis Cloud is enabled for managed analytics, dreaming, and consolidation **by + default**, because connecting already accepts the terms that cover it. A local-only + installation with no cloud session is still never allowed. + `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` remains as an explicit operator override (`=0` opts a + connected installation back out, `=1` forces it on regardless of session state) and is no + longer surfaced anywhere in the UI. + +## [1.0.1] - 2026-07-24 + +Public 1.0.1 client reliability release. + +### Fixed + +- Cloud Sync now defaults to `https://relay.engraphis.com` and safely migrates the former + dashboard host and retired Railway relay URL without changing customer-provided relay URLs. +- Default Pro and Team upgrade links now target the live authenticated account portal rather + than the retired Team dashboard host. +- Hosted endpoint validation now fails closed unless DNS establishes a globally routable + destination, and credential-bearing HTTPS connections pin the vetted address while preserving + original-host TLS verification to prevent DNS-rebinding SSRF. +- Hosted Automation and maintenance requests now use the selected workspace end to end rather + than silently falling back to the first workspace. +- The Automation tab has one proposal action, clear managed-upload disclosure, and explicit + managed-compute consent in addition to entitlement checks, snapshot redaction, and limits. +- Commercial metadata now describes Pro as one owner account across that owner's local + installations, matching the hosted entitlement model; Team remains billed per named seat. +- API error responses and provider logs no longer expose arbitrary exception or configuration + text; local folder and repository reads resolve and re-check filesystem boundaries. +- Entity extraction and dashboard asset migration avoid adversarial regular-expression + backtracking. CodeQL now disables pull-request diff-informed analysis and CI fails on every + raw SARIF result, including pre-existing and source-suppressed results. +- The documented grounded-recall evaluation prints with the default Windows console encoding. +- Hosted Pro and Team links preserve the selected plan through account creation and Checkout. +- A total `401`/`402`/`403` Cloud Sync authorization loss restores the hosted recovery CTA, + while a successful empty or read-only workspace remains a partial result instead of being + misreported as a total denial. + +## [1.0.0] - 2026-07-23 + +Public 1.0.0 open-core GA release. + +### Added + +- The search-first Galaxy Knowledge Graph explorer with deterministic communities, canonical + evidence-weighted scenes, entity/relation search, temporal filtering, evidence and history + inspection, strongest-evidence paths, synchronized accessible tables, saved scene state, + local PNG/JSON/CSV export, Simple and Advanced views, and a locally bundled ForceGraph + D3 renderer + under the strict same-origin CSP. +- Additive schema-v4 canonical identity and bi-temporal edge-support records; deterministic + graph scene, suggestion, entity, and path APIs; and a persisted graph-index job with dry-run, + progress, cancellation, bounded errors, audit records, and tamper-evident receipts. +- A 29-tool MCP surface with explicit behavior annotations, operation receipts, exact session + retry semantics, portable plugin manifests, and checksummed skill assets. +- Customer-side hosted protocols for scoped Cloud Sync, rotating cloud sessions, Analytics, + and managed Automation requests, plus explicit manual folder exchange for local workflows. + +### Changed + +- The public distribution is a universal Python open-core package that runs only as a customer + node. Hosted authorization, billing, relay storage, managed compute, Team identity, workers, + and vendor operations remain private services. +- Commercial compatibility modules now expose presentation and customer-protocol metadata only; + no environment variable turns the public package into a hosted Engraphis service. +- Session identity is exact across workspace, repo, authenticated user, agent, and goal; callers + can request a distinct run with `force_new=true` and observe retry reuse explicitly. +- The legacy graph view defaults to deterministic community islands, keeps sparse influence + bridges subordinate, and renders bounded A-MEM links when entity extraction is disabled. The + repository screen demo proves session handoff, bi-temporal supersession, recall evidence, and + history without an external service. +- The hosted no-card trial is exactly 3 active days after email confirmation. A separate + `workspace_write_grace` may preserve ordinary local writes for at most 24 hours but never + extends trial or paid cloud access. +- Apache-2.0 rights in published releases remain irrevocable; proprietary hosted value is + enforced by the private implementation and service authorization boundary. + +### Fixed + +- Session start/end and session-scoped writes are atomic under concurrency; exact retries reuse + one session while intentionally separate runs remain distinct. +- Rotating refresh credentials serialize across threads and processes, persist replacements in + owner-only state, close failed HTTP responses, and never regress to a stale bootstrap value. +- Managed snapshots reserve a monotonic generation in the same local write transaction as the + capture, use one operation ID per run and retry, redact provider errors, reject unknown + sensitivity, exclude session and secret data, and enforce exact record/byte limits. +- Graph reads, suggestions, evidence, history, indexing, exports, audit views, fallback search, + and workspace statistics consistently enforce workspace and session boundaries, including + forgotten session-only graph evidence. +- Windows private-state validation uses safe file metadata checks without weakening symlink, + ownership, size, or atomic-publication protections. +- Recall graph seeding uses one boundary-aware compiled pattern instead of rescanning every + memory per entity, and the streamable HTTP launcher warms the singleton service before + accepting clients. +- Graph GET requests remain read-only and return a rebuilding conflict while an explicit + mutating index job is in progress. + +### Security + +- Bare memory IDs, shared-workspace controls, graph entities, statistics, snapshots, exports, + audit rows, and keyword fallbacks cannot cross authenticated session or workspace boundaries. +- Managed uploads require explicit customer consent, are capped at 16 MiB and 100,000 rows, + omit all session-scoped and secret-class memories, and surface only fixed client-safe + provider errors. +- Customer credentials remain owner-only, redirect-safe, serialized during rotation, and are + never substituted with an unproven local machine identifier. + +## [0.9.9] - 2026-07-18 + +Security and reliability release spanning graph isolation and performance, Team / Pro +authentication, licensing and relay behavior, and the redesigned Knowledge Graph. + +### Security + +- Code-graph search, path, impact, export, and unified-graph reads now apply the same + workspace/repo/session hierarchy filter as recall. Session-scoped memory content and + identifiers previously remained reachable through persisted code-memory links from a + repo-level caller. Reindexing still rebuilds those links for the owning session, but + every read now filters them by caller-visible scope. +- Auth-bound dashboard users can no longer omit `workspace` to reach global recall. + Inspector per-user and deployment bearer tokens now bind real or synthetic identities + before personal receipt reads, so the deployment service account remains available for + shared automation without bypassing personal-folder ownership. The standalone + read-only graph endpoint also disables lazy write-on-read backfill. +- Repository indexing now creates a first-time Team workspace through the same + privacy-aware path as remember/import/session writes, instead of silently creating a + shared, unowned folder for the authenticated user. + +### Fixed + +- Code-graph layer responses and filters now use the concrete persisted layer, including + inferred causal relations and explicitly semantic code edges. Code-memory link rebuilds + page through every live repo-associated memory instead of clearing the bridge and + stopping at 5,000, and Git impact parsing uses NUL-delimited paths without rewriting + valid filename characters. +- Graph layer predicates are applied before workspace and code-edge response caps, and an + explicit all-off layer selection remains empty instead of reverting to every layer. + Layout preset and custom link-distance changes also recompute component centers while + preserving the existing graph data and node objects. + Filter reloads also tolerate transient graph-data invalidation, so restoring layers + redraws the canvas instead of leaving the explorer list beside an empty graph. +- Oversized audio/video resources are rejected before transcription begins. A blank + `ENGRAPHIS_GRAPH_TOKEN` now correctly falls back to `ENGRAPHIS_API_TOKEN`. +- The sync relay now has its own per-IP token bucket + (`ENGRAPHIS_RELAY_RATE_PER_MINUTE`, default 600) instead of sharing the + 60-request/minute license-registration budget. A full 64-bundle sync round can complete + without throttling its final requests, while invalid-key floods remain bounded before + Ed25519 verification. +- Every `/start-trial/verify` response (success, each error, and the 429) sends + `Cache-Control: no-store` and `Referrer-Policy: no-referrer`. The request URL carries + the one-time token, so the error pages are as Referer-leaky as the success page that + holds the key; they previously used separate inline header literals and had drifted. + +### Changed + +- `GET /api/auth/users` checks `admin` at the route, matching `auth.min_role()`. The + middleware already enforced admin, so this is defense in depth with no behaviour change; + the route previously said `member`, which was dead code that misrepresented the policy. +- Successful version-tag publication now creates the matching GitHub Release and attaches + the same validated wheel and source distribution sent to PyPI. Manual workflow dispatch + remains build/check-only, and the release job is tag-gated behind successful PyPI + publication. +- The Knowledge Graph defaults to compact component-aware packing and adds community, + radial, constellation, original, and custom layouts; selectable Cyberpunk, Galaxy, + Solar system, and Classic visual styles with persisted palettes; per-type node colors; + a synchronized keyboard-accessible explorer; collision-aware labels; and responsive + controls. Large graphs reuse rendered data, cap explorer DOM rows, reduce animation + work, and suppress expensive dense-graph effects. +- The duplicate global Recall shortcut was removed from the dashboard header. Recall + remains available in the Memory Operations sidebar and from contextual page actions. +- The README documentation was expanded to clarify note-link graphs, agent memory, code + awareness, encryption, and sleep-time consolidation without making unmeasured product + comparisons. +- The README now documents Command Code CLI as an MCP-native client and includes its + verified stdio registration command. + +## [0.9.8] - 2026-07-18 + +Hardening release focused on dependable installation, upgrades, startup, dashboard use, +and safe hosted deployment. + +### Security + +- Every entrypoint sends baseline response headers: CSP, `X-Frame-Options: DENY`, + `X-Content-Type-Options`, `Referrer-Policy`, `Permissions-Policy`, and HSTS over HTTPS + only. Override with `ENGRAPHIS_CSP` / `ENGRAPHIS_HSTS`; set either to an empty string to + omit that header where a fronting proxy supplies its own. +- Loopback/bootstrap trust now rejects all common forwarding metadata, including + `X-Forwarded-Proto`; a same-host TLS proxy can no longer make an internet request + look like an unproxied local setup request. +- Inspector first-admin setup now uses the auth store's atomic empty-database gate, so + concurrent different-email requests cannot both create administrators. + +### Added + +- MCP clients now receive canonical recall, session, durable-memory, and handoff guidance + through the server's initialization instructions. +- The dashboard exposes a small `/api` service index, and the graph CLI documents its + public commands without showing the internal merge-driver command. +- Regression coverage now exercises the sqlite-vec backend, workspace-aware entity recall, + installed database migration, encryption packaging, CLI startup, update paths, and release + artifacts. + +### Changed + +- Installed builds now keep the default database in the platform user-data directory. + Existing package-directory databases are copied with SQLite's backup API, validated, and + preserved as recovery copies; source checkouts retain their repository-local default. +- `engraphis-update` discovers the highest stable SemVer tag, validates explicit versions, + fails closed on fetch errors, refuses dirty editable worktrees, and keeps pip, pipx, Git, + and documents the source-rebuild path for locally built Docker images. +- Dashboard styling and navigation were reworked with five selectable themes, responsive + mobile behavior, semantic landmarks, improved keyboard focus, clearer confirmations, and + fully self-hosted browser assets. +- Console launchers now validate arguments before optional imports, report actionable startup + failures, display reachable IPv4/IPv6 URLs and resolved database paths, and advertise the + current dashboard and API routes. +- Optional-dependency bounds and extras were refreshed. The cross-platform `all` extra no + longer pulls the platform-limited SQLCipher driver, while encryption continues to fail + closed when no compatible driver is available. +- The release workflow now pins actions by commit, runs the full test/evaluation and package + validation gates, matches release tags to package versions, and reserves publishing for + validated tag pushes. Bundled browser-library license notices are included in distributions. +- Installation, hosting, sync, graph-query, MCP tool-count, and database-location guidance was + synchronized with the current commands and runtime behavior. + +### Fixed + +- Installed `engraphis-init` configuration is now loaded from the current directory's + `.env` without parent traversal, while explicit environment variables retain precedence. + Upgrading no longer opens a fresh platform-default database instead of the database the + user selected through `engraphis-init`. +- A failed dashboard memory-detail request can no longer retain a prior memory identity or + leave write controls enabled, preventing a later Save from modifying the wrong memory. +- A fresh hosted deployment now renders an actionable, non-data bootstrap screen when remote + API access is denied by default; it offers the safe Team-trial path or deployment-variable + setup without exposing account-wide license activation to a signed-out browser. +- Dashboard, REST, Inspector, MCP, licensing, sync, billing, and provider failures now return + bounded user-facing messages rather than raw exceptions or upstream response bodies. +- Trusted-proxy handling now evaluates the rightmost forwarded hop, supports exact/CIDR + allow-lists, and prevents untrusted forwarding headers from changing URLs or secure-cookie + decisions. Interactive API documentation is disabled on user-facing servers by default. +- Dashboard handlers now read memory, workspace, member, and token identifiers from escaped + `data-*` attributes instead of interpolating untrusted values into inline JavaScript. +- Repository-graph JSON output now escapes non-ASCII labels so Windows console encodings do + not turn successful `impact`, `prs`, or query commands into exit-code 2 failures. +- A server-only installation now includes the multipart parser required by dashboard import + routes instead of depending on the unrelated MCP extra to provide it transitively. +- `engraphis-mcp --help` works without importing the optional MCP stack; server-only and + explicitly offline configurations no longer emit misleading missing-dependency warnings. +- Dashboard and legacy-server launch failures retain database recovery details instead of + collapsing them into generic errors, and invalid port values are rejected cleanly. +- SQLite vector selection is now tested in both accelerated and offline-fallback modes, while + memory writes remain durable and audited if an index update fails. +- The zero-configuration Compose dashboard now admits its Docker host bridge while both + published ports remain loopback-only; widening a port requires an API token. +- Git-installed updates retain their recorded PEP 610 remote, and failed editable updates + restore the original branch without exposing a Python traceback. +- Customer-operated sync relays are separated from the managed license/trial/invite service, + and the sample `.env` no longer overrides installed database defaults with a relative path. +- MCP end-of-session guidance again represents completed work with an empty unresolved list + instead of persisting a fake open thread. + +## [0.9.7] - 2026-07-17 + +### Security +- Team-mode login gained a per-source-IP failure throttle (25 failures / 15 min) + alongside the existing per-email lockout, closing the credential-stuffing sweep + that tried each address once; lockouts now surface as a typed + `AccountLockedError` mapped to HTTP 429 + `Retry-After` (previously 401, or a + 429 derived by substring-matching the error message). + +### Fixed +- `remember`/`remember_with_resolution` are now atomic across the neighbor-resolve → + insert sequence (engine-level write lock): concurrent near-duplicate writes can no + longer both resolve ADD and store duplicates instead of NOOP/INVALIDATE. +- The Inspector's `/api/auth/login`/`setup` no longer run PBKDF2 (600k iterations) + on the asyncio event loop; password hashing moved to a worker thread, so a burst + of logins can't stall every other request. +- A failed vector-index upsert on the write path is now logged and audited + (`index_upsert_failed`) instead of silently swallowed. Previously, the memory + stayed invisible to semantic recall with no trace. +- URLs built from a bind host are now IPv6-safe and connectable (`engraphis.netutil`): + `ENGRAPHIS_HOST=::` no longer yields the malformed `http://:::8700` in the printed + dashboard URL, the :8710 redirector target, or `Settings.base_url`; wildcard binds + map to loopback. +- The Docker image no longer bakes an IPv4-only bind: the entrypoint defaults + `ENGRAPHIS_HOST` to dual-stack `::` when the kernel has IPv6 (what Railway's + private-network healthchecks require) and `0.0.0.0` otherwise, so wiping the + service's env vars can't regress the 2026-07-16 healthcheck outage. + +### Changed +- Consolidated four per-app bearer-token checks into one constant-time + `inspector.auth.bearer_ok` helper (scheme now matched case-insensitively per + RFC 7235 everywhere); extracted the ~230-line code-graph HTML/Markdown export + templates from `core/engine.py` into `core/codegraph_export.py`; documented the + v1/v2 split in `engraphis/routes/__init__`; entity ancestor-widening in graph + recall now applies to `workspace_id` symmetrically with `repo_id`; filtered + sqlite-vec searches cap their geometric widening with a single full scan. + +### Added +- Schema v3 logical graph layers (`temporal`, `entity`, `causal`, `semantic`), privacy-safe + SHA-256 receipt chains, optional LLM/host retention supervision, and a persistent code↔memory + bridge. +- Incremental multi-language repository indexing (Python, JS/TS, Go, Rust, Java, C#, C/C++, + SQL, Terraform), docstrings/comments, variables, inheritance/implementation, weighted + communities, hotspots, path queries, git/PR impact analysis, portable JSON/HTML/Markdown + exports, and a graph union merge driver. +- Local multi-format resource ingestion for text/code/HTML/DOCX, optional PDF/image OCR and + faster-whisper transcription, plus live PostgreSQL schema introspection with DSN redaction. +- Seven MCP tools for code paths/impact/export, PostgreSQL schema ingestion, and receipt + list/verify/export, bringing the tool surface from 20 to 27. +- `engraphis-graph` workflow CLI and token-protected `engraphis-graph-server` read-only HTTP + surface. + +### Changed +- Railway hosting now supports Pro solo single-admin deployments: any active Pro or Team + entitlement can bootstrap the first admin and activates the login wall, while member + seats and direct hosted agent writes remain Team-only. The hosting guide now covers both + Pro solo sync-relay and Team member flows. + +### Fixed +- 1-hop graph recall (and the PPR large-graph fallback) now honors `graph_layers`, matching + the PPR arm: `Store.neighbors()` gained a `layers` filter. +- `FolderTransport.push()` no longer follows peer-planted symlinks in the shared sync folder + (unpredictable temp name + `O_CREAT|O_EXCL|O_NOFOLLOW`), closing an arbitrary-file-write + vector that mirrored the already-hardened read side. +- `engraphis-graph-server` treats an empty `--host`/`ENGRAPHIS_GRAPH_HOST` as non-loopback + (it binds all interfaces), so the bearer-token requirement can no longer be skipped. +- Caller-supplied `metadata.retention_supervision` is stripped at the service boundary; only + the validated `retention_class` presets can influence importance/stability. +- `merge_workspaces()` no longer duplicates symbols/code edges when both workspaces indexed + the same file in a same-named repo: the losing snapshot's rows are cleared, and its + memory↔code links are re-pointed at the surviving same-fqname symbols. +- `engraphis-graph impact/prs` reject leading-dash git revisions (git option injection), and + graph exports refuse a symlinked output directory and are written atomically without + following pre-planted symlinks. +- The unified graph endpoint bounds entity edges and code edges/links per request + (`limit`-derived cap) so a large workspace graph or indexed repo can't produce unbounded + viewer-role responses. +- Relay sync fails closed when a workspace's settings are unreadable rather than treating a + possibly-personal folder as shared: in the sync CLI and in the dashboard/background + `_sync_all` path; resource extraction enforces its own raw-size cap. + +## [0.9.6] - 2026-07-16 + +### Added +- **Agent Connect for hosted Team instances.** Members can mint SHA-256-hashed per-user + bearer tokens in Settings and use the hosted v2 store through `POST /api/remember`, + the existing read routes, token management under `/api/auth/token*`, and + `GET /api/auth/connect-info`. Tokens retain the user's role and personal-folder scope; + viewers are read-only and disabling a user invalidates their tokens immediately. +- **Authenticated MCP-over-HTTP at `/mcp`.** When the MCP extra is installed, the + dashboard mounts the same 20 tools as the standalone server and injects its existing + `MemoryService`, avoiding a second SQLite writer. The endpoint requires an active Team + entitlement and per-user bearer token, enforces viewer/member/admin roles per tool, and + reports actual mount availability through connect-info. +- **One-click Railway hosting.** Added `railway.json`, the README deploy button, and + `docs/HOSTING_RAILWAY.md` for persistent volumes, forwarded HTTPS headers, Team + entitlement bootstrap, member invites, and HTTP/MCP agent connection. +- **Two new MCP context tools.** The MCP inventory grows from 18 to 20 with + `engraphis_answer`, a compatibility alias for the existing grounded-recall contract, + and `engraphis_proactive_context`, also available at `POST /api/proactive-context`. + Proactive packets include bounded task/agent state, cited memories, suggested queries, + and the previous session handoff. Optional LLM prose is accepted only when every claim + carries a valid citation. +- **Structured LLM ingestion and consolidation.** `ENGRAPHIS_EXTRACTOR=llm_structured` + validates typed facts, entities, relations, keywords, and confidence; that metadata is + preserved through storage and automatically feeds the graph. Settings now includes a + **Connect your LLM** card backed by `/api/llm/status` and `/api/llm/test`. + Consolidation adds schema-validated facts and explicit source supersession across the + service, REST, MCP, and CLI surfaces, with deterministic fallback on provider/schema + failure. +- **Opt-in deterministic memory intelligence APIs.** Added conflict triage for duplicate, + refinement, contradiction, and obsolete candidates, plus a serializable `UserModel` + that learns interaction preferences and reranks recall results. These helpers do not + mutate the store or alter default recall unless a caller invokes them. + +### Changed +- **Team mode is opt-out by default.** `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) disables + Team plumbing. A fresh solo install stays open, first-admin setup requires a live Team + entitlement, and an existing team's authentication wall remains active if its license + lapses so private data never becomes public. +- Pre-login license status and trial routes now allow a fresh instance to start a Team + trial before first-admin setup. Purchased keys bootstrap through + `ENGRAPHIS_LICENSE_KEY` or the license file; `/api/license/activate` remains admin-only. +- Package fallback metadata and all user-facing tool inventories now agree on version + `0.9.6` and 20 MCP tools. + +### Fixed +- **Agent Connect and dashboard lifecycle:** corrected generated endpoint URLs, retained + one-time token visibility, made `/mcp` bearer-only, bound MCP sessions to their initiating + user, rechecked tool roles on every call, retained DNS-rebinding protection, closed + previously injected stores, and made connect-info reflect the real optional MCP mount. +- **License and Team enforcement:** authoritative revocations override cached entitlement + and persist tombstones for previously unrecorded keys; transient failures may use only + an unexpired lease; public license/trial bootstrap routes close after the first Team user; + trial rate limits trust forwarded addresses only from configured proxies; managed + requests use explicit client headers; retired managed relay URLs are canonicalized + across key issuance, license/trial, invite, and sync clients; and configured keys + that fall back to free after transient outages retry automatically. +- **Python and packaging compatibility:** rate-limit buckets and audit exports use + timezone-aware UTC APIs, package metadata uses the SPDX license format, and the + deterministic fallback matches the default embedding model’s 384 dimensions. +- **Memory and retrieval integrity:** audit writes are committed durably, recall excludes + non-live rows, mixed embedding dimensions no longer crash recall and have a backed-up + repair path, sync enforces workspace/repository boundaries in both directions, graph + provenance is pruned per memory instead of deleting shared edges, SQLite-vector distances + are converted to cosine similarity, entity expansion matches complete names, and the + sentence-transformers adapters support both legacy and renamed dimension APIs. +- **Structured-data safety:** extraction metadata survives ingest unchanged, proactive and + consolidation inputs are bounded, structured consolidation rejects source IDs outside + the requested cluster, and synthesized context cannot replace deterministic output + without valid citations. +- **Dashboard graph navigation:** focusing an isolated node now retains the requested node + through the delayed renderer retry instead of reporting a false “Entity not in view.” +- **Dashboard typography:** replaced sub-12px text and the flat type ramp with a consistent + 12/16/24/32px hierarchy while preserving responsive layout. + +### Documentation +- Updated the README, Agent Connect, Railway, Kilo Code, bundled memory skill, benchmark + command, and package-version fallback to match the shipped routes, tool count, setup + order, and extractor/consolidation options; removed the unused shortcut icon helper. + +## [0.9.5] - 2026-07-14 + +### Changed +- **Team mode is now ON by default (opt-out).** `ENGRAPHIS_TEAM_MODE` defaults to on; + set `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) to disable. The per-user login wall is + no longer raised just because the mode flag is on. It now requires a *live* `team` + feature entitlement (`licensing.has_feature("team")`), checked at request time in + `dashboard_app.py` and reflected in `/api/auth/state`. Solo / no-license installs stay + fully open, and the wall appears the moment a team license key is added, even via the + dashboard UI at runtime. A `team` license is still required to *add seats* beyond the + first admin (bootstrap admin is created unconditionally). Docs (`.env.example`, + `AGENTS.md`, `README.md`, `SECURITY.md`, `scripts/init.py`) and team-mode test fixtures + updated. +- **Team-invite email rewritten to separate "join" from "activate a key".** The old + invite conflated the two, so members pasted the shared team key into the hosted/Railway + dashboard, saw it "work" (it just re-activated a license already active there), and + thought they'd joined, when joining means signing in with email + password. The email + now frames two distinct options: **Option 1** (required to join) sign in to the team + dashboard with email + the admin-set password, with explicitly *no license key needed here, + don't paste one*; **Option 2** (optional) run Engraphis on your own machine and access + the team's memories locally; that is what the shared team key is for (LOCAL + `http://127.0.0.1:8700` → Settings → License, then Settings → Cloud Sync to pull the + converged team store down to a local offline copy). Invites now always carry a + clickable sign-in link: `dashboard_url` resolves explicit arg → `ENGRAPHIS_DASHBOARD_URL` + → `DEFAULT_TEAM_DASHBOARD_URL` (`https://team.engraphis.com/`). A footer with the + canonical site + repo links is added as env-overridable module constants + (`SITE_URL`/`REPO_URL`) so the URLs can't drift per-email. `tests/test_billing.py`. + +### Fixed +- **Intermittent `database is locked` from `set_service`.** `routes/v2_api.set_service` + swapped the global `MemoryService` without closing the previously-bound service's store + connection, so under heavy test churn a deferred-GC close of the old SQLite/WAL handle + collided with the next `MemoryService.create` on the same path. The prior store is now + closed on swap (best-effort, never blocks the swap on a close error). + +### Docs +- **README now documents three previously-undocumented shipped features** (the features + themselves shipped in 0.9.3): sub-file chunking (`ENGRAPHIS_EXTRACTOR=chunk` + the + `eval.chunking_eval` whole-file-vs-chunked harness), auto-dreaming (the background + cross-cluster-inference loop, accumulation + idle trigger, `dream_inference` + provenance/auditability), and every automation dream knob exposed via the dashboard + Automation tab and the `GET/POST /automation` + `POST /maintenance/run` API. Also: a + **Team early-access beta** callout (top + feature/pricing tables + Free-vs-Pro section) + and a **daily-update reminder for maintainers** near the top (code wins; fix the doc in + the same change). + +### Chore +- `.gitignore` now excludes `automation.json` / `autosync.json` (regenerable local + runtime state from `engraphis/automation.py`, not source content). + +## [0.9.4] - 2026-07-14 + +### Fixed +- **The dashboard (`engraphis-dashboard` / `http://127.0.0.1:8700`) would not start.** + `scripts/start_dashboard.py` runs uvicorn against `engraphis.dashboard_app:app`, but + `dashboard_app.py` only defined the `create_app()` factory and never built a module-level + `app` instance, so uvicorn aborted with `Attribute "app" not found` and nothing bound + port 8700. The missing `app = create_app()` (present in `engraphis/app.py` and + `engraphis/redirector.py`, but dropped from `dashboard_app.py`) is now restored. The + background autosync/dreaming/revalidation loops inside `create_app()` are pytest-guarded, + so importing the module under test is side-effect-free. +- **Flaky `database is locked` dashboard test.** + `test_consolidate_inference_pass_is_pro_gated` opened two FastAPI `TestClient` lifespans + back-to-back on the same temp DB file; the first app's still-open SQLite connection + blocked the second's schema init. Split into two one-client test functions, matching + the convention already documented above `test_analytics_and_export_*` (two TestClients + in one test reproducibly deadlock). Full suite now green (693 passed, 3 skipped). + +## [0.9.3] - 2026-07-14 + +### Added +- **Email-verified self-serve trial + abuse protections on the trial endpoint.** + Starting a trial now requires a verified email and sends a one-time confirmation link + before any license is issued; the request path is rate-limited so the endpoint can't be + used to spam or farm trials. This raises the bar significantly above the previous + device-only gate while keeping the same paste-a-key activation flow on the dashboard. + `tests/test_cloud_license.py`, `tests/test_dashboard_v2.py`, + `tests/test_online_only_enforcement.py`. +- **Deterministic, offline sub-file chunking on the write path (`ENGRAPHIS_EXTRACTOR=chunk`).** + A third `Extractor` alongside passthrough/LLM: `ChunkingExtractor` splits a document into + retrieval-sized `ExtractedFact` chunks that preserve meaning: markdown headings start new + chunks and become the title, fenced code blocks stay intact, prose is packed to a token + budget (`ENGRAPHIS_CHUNK_TOKENS`, default 256) with a sentence-level overlap + (`ENGRAPHIS_CHUNK_OVERLAP`, default 32); a hard per-document cap + (`ENGRAPHIS_CHUNK_MAX`, default 200) bounds amplification. numpy/stdlib only, so it runs + under the offline gate and is byte-identical across runs. This gives long, multi-topic + documents finer retrieval units instead of one diluted memory; the bundled evaluation below + preserves Recall@5 while reducing retrieved context. New: `ChunkingExtractor` in + `backends/extractor.py`; `tests/test_chunking_extractor.py`. +- **File/folder imports chunk too.** With `ENGRAPHIS_EXTRACTOR=chunk`, + `import_folder`/`import_files` split each file into several retrieval-sized memories + (each still `trusted:false`, stamped with `metadata.chunk={index,of,heading}`) instead of + one; the LLM extractor is deliberately never applied to the local import path (no external + calls on untrusted disk files). A file still counts as one imported unit. + `tests/test_import_chunking.py`. +- **Chunking eval + `longdoc` dataset.** `eval/chunking_eval.py` + + `eval/datasets/longdoc.jsonl` compare whole-file vs chunked ingestion through the real + recall pipeline. On the offline embedder: identical recall@5 (1.000) at **~73% fewer + context tokens** (809 → 219) and ~4× smaller tokens-to-evidence (162 → 42); the "quality per token" + number `BENCHMARKS.md` calls for. `tests/test_chunking_eval.py`. +- **"Dreaming" trigger for automated maintenance.** `automation.should_dream` / `dream_due` + run a consolidation sweep *before* the cadence when enough new episodic memories have + accumulated **and** the store has gone quiet (`dream_min_new` / `dream_idle_minutes` policy + knobs); wired into `scripts/auto_maintain.py`. Purely additive to the existing cadence, so + cron behaviour is unchanged; still Pro-gated. `tests/test_dreaming_trigger.py`. +- **Associative cross-cluster inference (dream pass 4).** `consolidate.infer_links` / + `consolidate(infer=True)` proposes evidence-only links between memories in *different, + dissimilar* subject clusters that share a bridging entity: the "connect distant dots" step + same-subject distillation never reaches. **Off by default** (`infer=False`); the pass + follows the sweep's own `dry_run` flag, so a dry-run proposes into the report and a real + run applies. Applied inferences are low-salience (`importance=0.25`), `trusted:false`, + `source='dream_inference'`, linked to their sources and audited, so a bad inference is + visible, downweighted, and never merge-eligible into a trusted fact. Fan-out capped, + idempotent. Entity matching is now word-boundary (so `Redis` won't fire on + `rediscovered`) and the per-sweep text scan is computed once, not per entity. + `tests/test_inference.py`. +- **Inference is reachable from the maintenance path.** A new `infer` policy knob (off + by default) runs the inference pass inside `run_maintenance`, whether manual or from the dream loop, + following the sweep's `dry_run`. `/api/consolidate` takes `infer` (`false` by default); + `/api/automation` round-trips `infer`; the dashboard Automation tab has an Inference + toggle. `tests/test_dashboard_v2.py` (policy round-trip + `/maintenance/run` proposes the + Redis bridge), `tests/test_dashboard_dream_ui.py`. +- **Dreaming runs without cron.** A dashboard background loop (`_maybe_start_dreaming`, + mirroring auto-sync) runs a maintenance sweep whenever `automation.dream_due` fires. It is opt-in, + Pro-gated, fault-isolated, with an `ENGRAPHIS_DREAM_LOOP=0` kill switch. The `/api/automation` + policy round-trips the `dream` / `dream_min_new` / `dream_idle_minutes` knobs, and the + dashboard's Automation tab surfaces them as form controls (toggle + thresholds). The + trigger now scopes its accumulation/idle count to the policy's `workspaces` (a burst in + an out-of-scope workspace no longer fires a sweep). `tests/test_dreaming_trigger.py`, + `tests/test_dashboard_dream_ui.py`, `tests/test_dashboard_v2.py`. + +### Fixed +- **First-run team-mode bootstrap hardened.** The admin-creation path no longer depends + on an external relay round-trip succeeding to provision the first seat, and concurrent + first-admin requests are serialized so only one unlicensed bootstrap admin can ever be + created. Subsequent seat additions still require an active Team license. +- **First-run team-mode bootstrap fixed (frontend).** The admin-account screen now triggers + the trial/activation step before provisioning the first admin, so a fresh self-hosted + instance no longer deadlocks on the team-feature gate with no way to proceed. + No backend change; frontend-only. +- `MemoryService.create` now defaults `extractor` from `settings.extractor` + (`ENGRAPHIS_EXTRACTOR`) when unset, mirroring the existing `graph_extractor` fallback so + the dashboard and automated-maintenance front ends honor the config knob, not just the MCP + server and CLI. An explicit `extractor="none"` still overrides the environment. + +### Security +- **Closed a Pro-feature bypass on the manual consolidate endpoint.** The inference pass + (a paid capability) was reachable through the free housekeeping endpoint without a + license; it is now gated at the route and reinforced inside the service layer, so no + caller can reach the Pro-only path without a server-approved license. The free manual + consolidate action is unchanged. `tests/test_dashboard_v2.py`, `tests/test_inference.py`. +- **Strengthened license enforcement and revocation handling.** Reaffirmed that every paid + surface requires a live, server-validated lease and fails closed when the server is + unreachable; tightened the verification so licenses can't be forged client-side, and + serverside-issued seats can't be minted without a valid license. Revoked or refunded keys + are now re-confirmed against the server on a background interval so they degrade promptly + rather than remaining usable until lease expiry, while legitimate offline customers are + never stalled. `tests/test_online_only_enforcement.py`, `tests/test_cloud_license.py`. + +## [0.9.2] - 2026-07-13 + +### Added +- **Personal vs. shared folders + a redesigned Team dashboard.** A folder can now be + created `visibility='personal'` (owned by, and visible/usable only to, the creating + dashboard user) or `shared` (the whole team, the previous, still-default behaviour). + Enforcement runs through a single workspace-authorization chokepoint, so every scoped + read/write inherits it and a non-owner cannot access another user's personal folder. + Personal folders are excluded from relay sync so they stay on-device. The **Team + dashboard** gains a team overview (seat usage + activity), a Folders panel that creates + and manages shared/personal folders (folder creation now lives here: the Workspaces + tab is selection-only in team mode), members with last-active, and a team audit log with + CSV export. New/updated: `service.py`, `routes/v2_api.py`, `dashboard_app.py`, + `static/index.html`; tests in `tests/test_personal_folders.py`, + `tests/test_dashboard_v2.py`, `tests/test_sync_dashboard.py`. + +### Changed +- README expanded with the missing features (cloud sync, encryption, import/ingest, + workspace ops, Docker, config, and more) and now links to the Engraphis Discord. + +## [0.9.0] - 2026-07-13 + +### Added +- **Automatic v1→v2 database migration on startup**: a pre-existing v1-shaped + `engraphis.db` (no `workspace_id` column) is backed up and migrated to the v2 + schema, so existing installs upgrade cleanly without manual SQL. + +### Fixed +- **Dockerfile default entrypoint** is now `engraphis-dashboard --no-open` (was the v1 + single-user `engraphis-server`), so a fresh container serves a working team dashboard + with auth/license/trial routes instead of a permanently signed-out UI. + `engraphis-server` remains available as an explicit override for single-user + deployments. +- **CI**: ruff lint errors and core-floor (numpy-only) test collection. + fastapi-dependent tests now skip cleanly on the minimal core floor. `loads_strict` + now rejects pathologically deep JSON on every Python version (3.12's JSON scanner + no longer raises RecursionError for ~1000-deep input, which had broken the + deep-nesting parsing guard and its test on 3.12). + +## [0.8.8] - 2026-07-13 + +### Security +- Hardened license validation and trial consumption tracking +- Improved offline trial tamper resistance + +## [0.8.7] - 2026-07-12 + +### Added +- **Dashboard "Import files & folders"** restored on v2 engine +- **Kilo Code integration docs** (`docs/KILO_CODE_INTEGRATION.md`) + +### Fixed +- Dashboard auth: session handling, role badges, member management +- License cloud enforcement: lease validation, online-only gating +- Service layer: workspace operations, memory reorder, merge + +## [0.8.6] - 2026-07-12 + +### Added +- Dashboard "Import files & folders" section restored on v2 engine + (`engraphis/service.py`, `routes/v2_api.py`, `static/index.html`, Workspaces tab) +- Server-side path import and drag-and-drop upload, both member-gated and bounded +- Imported memories marked untrusted by default; 21 new tests + +### Security +- Hardened folder import against path-traversal and containment bypasses + +## [0.8.5] - 2026-07-12 + +### Fixed +- Logout no longer re-triggers sign-in modal loop +- Team bootstrap: trial/license endpoints now accessible before first admin exists +- Expired/revoked Team license no longer locks out all logins +- Trial start now idempotent (no 400 on repeated calls mid-trial) +- Team trial grants 5 seats (was 1), enabling actual team evaluation +- Dashboard handles empty workspaces gracefully +- Static assets (dashboard HTML, vendor JS) now ship correctly in wheel + +## [0.8.4] - 2026-07-12 + +### Security +- Paid features now require a live, server-issued license lease +- Offline handling degrades gracefully with bounded grace when the server is unreachable +- Local/offline trial grants removed; trials are server-issued and tracked per device +- Issued keys are server-enforced by default + +## [0.8.3] - 2026-07-12 + +### Fixed +- Empty workspace `/api/memories` returns `[]` instead of 500 +- Online-only license enforcement: cloud-mode keys validated per request + +## [0.8.2] - 2026-07-12 + +### Fixed +- Static package discovery: `engraphis/static/__init__.py` added +- Vendor glob: recursive pattern so `static/vendor/` bundles ship in wheel +- Dashboard 500 on `GET /`: `static/index.html` was missing from wheel (packaging bug) +- Dashboard 500 on fresh install: `GET /api/memories` crashed on empty workspace + +--- + +## Earlier versions (condensed) + +### Versions 0.5.x to 0.7.x +- MCP server with 18 tools +- Memory Inspector product UI (`engraphis-inspector`, port 8710) +- Dashboard rebuilt on v2 engine with recall, governance, consolidate, analytics +- Team mode: login auth, viewer/member/admin roles, seat limits +- Grounded recall with cited answers and abstain gate +- Sleep-time consolidation with compaction accounting +- Personalized PageRank graph arm (HippoRAG-style) +- Offline signed license keys (no phone-home) +- Pro analytics dashboard +- Code-symbol graph via tree-sitter or regex fallback +- Docker + docker-compose deployment +- 300+ tests, eval harness, ablation suite + +### [0.1.0] - 2026-07-09 +- Initial public release: local-first AI memory engine for agents +- Ebbinghaus decay, interaction-aware recall, bi-temporal facts +- Background consolidation; you bring the LLM + +--- + +**Security reporting:** Email **security@engraphis.dev** for vulnerability disclosure. diff --git a/README.md b/README.md index dd3f92dd..9372e5e6 100644 --- a/README.md +++ b/README.md @@ -1,423 +1,423 @@ -# Engraphis - -[![PyPI version](https://img.shields.io/pypi/v/engraphis.svg)](https://pypi.org/project/engraphis/) -[![License](https://img.shields.io/badge/license-Apache--2.0-green.svg)](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) -[![Support](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-support-yellow?logo=buy-me-a-coffee)](https://buymeacoffee.com/Jaixii) - -[https://engraphis.com/](https://engraphis.com/) - -[https://discord.com/invite/Wfr2ejBmY](https://discord.com/invite/Wfr2ejBmY) - -**Give your AI agents a memory. See it, search it, and maintain it, all in a beautiful WebUI on your own machine.** - -

    - Engraphis Knowledge Graph tab: force-directed entity-relation network -
    - Knowledge Graph · run engraphis-dashboard to see it live -

    - -**Grounded, not guessed.** Memory with receipts. Local by default. - ---- - -> **Open-core boundary:** this repository contains the free local engine, dashboard, MCP server, -> and customer-side clients. Hosted sync, analytics, automation, and team services run on the -> official hosted service; their server implementations are not distributed here. - -> **Support continued Engraphis development with Pro.** [Start a 3-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) -> or [subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing). - ---- - -## Measured token and context savings - -### Runtime estimator - -The dashboard Overview and Audit/Receipts views also show a receipt-backed estimate from -real context deliveries. It compares the host history or retrieved source baseline with the -context Engraphis actually emitted, keeps token counters and release versions separate, and -labels adaptive history reductions separately from packing savings. Receipts without estimator -metadata remain historical/unclassified. This measures estimated prompt-context reduction; it -does not measure provider billing. The `/context-savings` API and -`engraphis_context_savings` MCP tool aggregate the complete history across all visible workspaces -by default, or accept an explicit workspace plus optional `from_ts`, `to_ts`, and -`release_version` filters. - -

    +# Engraphis + +[![PyPI version](https://img.shields.io/pypi/v/engraphis.svg)](https://pypi.org/project/engraphis/) +[![License](https://img.shields.io/badge/license-Apache--2.0-green.svg)](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) +[![Support](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-support-yellow?logo=buy-me-a-coffee)](https://buymeacoffee.com/Jaixii) + +[https://engraphis.com/](https://engraphis.com/) + +[https://discord.com/invite/Wfr2ejBmY](https://discord.com/invite/Wfr2ejBmY) + +**Give your AI agents a memory. See it, search it, and maintain it, all in a beautiful WebUI on your own machine.** + +

    + Engraphis Knowledge Graph tab: force-directed entity-relation network +
    + Knowledge Graph · run engraphis-dashboard to see it live +

    + +**Grounded, not guessed.** Memory with receipts. Local by default. + +--- + +> **Open-core boundary:** this repository contains the free local engine, dashboard, MCP server, +> and customer-side clients. Hosted sync, analytics, automation, and team services run on the +> official hosted service; their server implementations are not distributed here. + +> **Support continued Engraphis development with Pro.** [Start a 3-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) +> or [subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing). + +--- + +## Measured token and context savings + +### Runtime estimator + +The dashboard Overview and Audit/Receipts views also show a receipt-backed estimate from +real context deliveries. It compares the host history or retrieved source baseline with the +context Engraphis actually emitted, keeps token counters and release versions separate, and +labels adaptive history reductions separately from packing savings. Receipts without estimator +metadata remain historical/unclassified. This measures estimated prompt-context reduction; it +does not measure provider billing. The `/context-savings` API and +`engraphis_context_savings` MCP tool aggregate the complete history across all visible workspaces +by default, or accept an explicit workspace plus optional `from_ts`, `to_ts`, and +`release_version` filters. + +

    Dark chart of registered deterministic fixtures. Structure-aware chunks reduce retrieved context from 740.3 to 214.3 tokens and the smallest evidence-holding memory from 162.2 to 42.4 tokens. A compact JSON-shape proxy uses 11,138 rather than 24,590 tokens. Retrieved-candidate quality is labeled separately from packed-context quality, both measured in the selected report with packed-quality fields. Actual MCP transport and provider billing are not measured. -
    - Less repeated history means more room for the task, tools, and useful evidence. -

    - -
    -See benchmark details and reproduce the results - -### Controlled before-and-after example - -| Retrieval mode | Mean returned memory content | Recall@5 | -|---|---:|---:| -| Whole documents | 740.3 tokens | 1.000 | -| Engraphis structure-aware chunks | 214.3 tokens | 1.000 | - -The chunked mode returns the relevant passage instead of the whole document: **526.0 fewer tokens -per question**. Under the same model-context budget, that leaves roughly **526 tokens** for task -instructions or other relevant evidence. This is evidence ID `offline-chunking` in the registered -artifact below. - -### Measurement details and reproducibility - -The table below contains every exact token/context aggregate currently published here and keeps -its counting boundary explicit. - -| What is counted | Comparison | Measured reduction | Quality held constant | -|---|---|---|---| -| Retrieved top-5 memory content, averaged per question | Whole documents: **740.3** tokens → structure-aware chunks: **214.3** tokens | **526.0 fewer tokens per question** (**71.1% lower**, about **3.5× smaller**) | Recall@5 **1.000** in both modes across 6 documents and 18 questions | -| Smallest returned memory that contains the reference evidence | Whole documents: **162.2** tokens → chunks: **42.4** tokens | **119.8 fewer tokens to evidence** (**73.9% lower**, about **3.8× smaller**) | The same 18 questions had a returned evidence-holding memory in both modes | +
    + Less repeated history means more room for the task, tools, and useful evidence. +

    + +
    +See benchmark details and reproduce the results + +### Controlled before-and-after example + +| Retrieval mode | Mean returned memory content | Recall@5 | +|---|---:|---:| +| Whole documents | 740.3 tokens | 1.000 | +| Engraphis structure-aware chunks | 214.3 tokens | 1.000 | + +The chunked mode returns the relevant passage instead of the whole document: **526.0 fewer tokens +per question**. Under the same model-context budget, that leaves roughly **526 tokens** for task +instructions or other relevant evidence. This is evidence ID `offline-chunking` in the registered +artifact below. + +### Measurement details and reproducibility + +The table below contains every exact token/context aggregate currently published here and keeps +its counting boundary explicit. + +| What is counted | Comparison | Measured reduction | Quality held constant | +|---|---|---|---| +| Retrieved top-5 memory content, averaged per question | Whole documents: **740.3** tokens → structure-aware chunks: **214.3** tokens | **526.0 fewer tokens per question** (**71.1% lower**, about **3.5× smaller**) | Recall@5 **1.000** in both modes across 6 documents and 18 questions | +| Smallest returned memory that contains the reference evidence | Whole documents: **162.2** tokens → chunks: **42.4** tokens | **119.8 fewer tokens to evidence** (**73.9% lower**, about **3.8× smaller**) | The same 18 questions had a returned evidence-holding memory in both modes | | Full versus compact recall payload proxy across one 26-question pass within a 260-timed-recall CodeMem run | Full proxy: **24,590** `engraphis.regex.v1` tokens → compact proxy: **11,138** tokens | **13,452 proxy tokens avoided** (**54.71% lower**) | 26 payload samples; 260 timed recalls; Recall@5, hit@5, and answer-token recall all **1.000** | -| Packed prompt-context usage in the same 26-question CodeMem sample pass | Hard budget: **1,500** tokens; observed mean: **85.38**; observed maximum: **108** | A hard cap prevents a recall from exceeding its configured context budget | This is usage accounting, not a before/after savings comparison | - -The performance report keeps its legacy `quality` fields for all candidate chunks returned before -context packing and adds `packed_quality` for evidence admitted to the reader context. The checked-in +| Packed prompt-context usage in the same 26-question CodeMem sample pass | Hard budget: **1,500** tokens; observed mean: **85.38**; observed maximum: **108** | A hard cap prevents a recall from exceeding its configured context budget | This is usage accounting, not a before/after savings comparison | + +The performance report keeps its legacy `quality` fields for all candidate chunks returned before +context packing and adds `packed_quality` for evidence admitted to the reader context. The checked-in v19 artifact includes both quality views, with Recall@5, hit@5 and answer-token evidence coverage -of 1.000 for the 26-question fixture in each view. Both views measure retrieved evidence; -neither is an end-to-end question-answer score. Coding outcomes, external datasets, and staged -operational capacity remain separate pending evaluation tracks until their artifacts are selected. - +of 1.000 for the 26-question fixture in each view. Both views measure retrieved evidence; +neither is an end-to-end question-answer score. Coding outcomes, external datasets, and staged +operational capacity remain separate pending evaluation tracks until their artifacts are selected. + These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v90.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v90.json), +[`offline-fixtures-v102.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v102.json), SHA-256 -`3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566`. -[`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) -records the matching suite digest, exact commands, and per-command config digests. The offline -fixture registry intentionally excludes external, model-dependent, consolidation, productivity, -and latency results. Completed retrieval-only diagnostics are published separately in the -[benchmark expansion results](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/BENCHMARK_EXPANSION_RESULTS.md) with redacted immutable -artifacts; no generated-answer, official leaderboard, hosted-latency, or paid result is claimed -here. - -The compact payload shape avoids duplicating full memory bodies when the packed context and source -list are enough. The evaluator tokenizes JSON-shaped full and compact payload proxies built from -recall results; it does **not** serialize the MCP envelope or measure a transport response. The -fixture therefore does not measure model-provider charges, end-to-end task time, or customer cost -savings. - -The measures are deliberately separate and **must not be added together**: chunking counts the -content of retrieved memory records before `ContextPacker`, whereas compact recall counts a -serialized JSON-shape payload proxy. “Tokens to evidence” is the size of the smallest -retrieved memory record holding the reference evidence; it is not latency or end-to-end answer -accuracy. Chunking creates more focused stored records, so this is a context-efficiency result, -not a storage-reduction claim. - -Reproduce the registered quality and token/context measurements without a network connection or -API key: - -```bash -python -m eval.grounded -python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json -``` - -These are small deterministic correctness and efficiency fixtures, not official LoCoMo / -LongMemEval QA scores or a third-party leaderboard result. Compact-response counts use the exact -`engraphis.regex.v1` counter; the chunking evaluation uses its documented deterministic -normalized-character estimator. Chunking measures retrieved memory content, while compact recall -measures a serialized JSON-shape payload proxy, not an MCP transport response. See the registered -artifact and [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) -for definitions, limitations, and canonical external-evaluation requirements. - -
    - ---- - -## Full Engraphis install: pip install "engraphis[all]" - -The complete `engraphis[all]` install is the default way to use Engraphis: it includes the local -dashboard, Smart MCP server, documents, Cloud Sync client, and supported optional integrations. -Python 3.10+ is required. - -```bash -pip install "engraphis[all]" -engraphis-dashboard -``` - -The dashboard opens at [http://127.0.0.1:8700](http://127.0.0.1:8700). Local memory needs no -account or API key. - -### Smaller installation options - -Use a smaller package only when you intentionally need a limited surface. The NumPy-only core -continues to support Python 3.9+. - -| Goal | Install | Start | -|---|---|---| -| Local dashboard and REST API | `pip install "engraphis[server]"` | `engraphis-dashboard` | -| Coding-agent memory over Smart MCP | `pip install "engraphis[mcp]"` | `codex mcp add engraphis -- engraphis-mcp` | -| Native SQLite vector acceleration | `pip install "engraphis[vector]"` | Server entrypoints select it automatically | -| Offline Python library | `pip install engraphis` | `MemoryService.create("engraphis.db")` | - -For MCP clients other than Codex, configure a stdio server whose command is `engraphis-mcp`; see -the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md). - -### Updating - -Use `engraphis-update` to upgrade the installation using its detected install method. Package -metadata does not record which extras were selected, so the updater defaults to the safe -superset `engraphis[all]` rather than silently dropping an optional surface. For a deliberate -selection, set `ENGRAPHIS_UPDATE_EXTRAS` to a comma-separated list (for example -`server,mcp`), or set it to `none` for the base package only. - -> **Upgrading to 1.4:** `engraphis-mcp` now exposes the nine-tool Smart gateway. Integrations that -> require the former 35 direct tool names should run `engraphis-mcp-classic`. The SQLite schema -> in the 1.4.0 release was version 9. Existing v7-to-v8 databases already contain `confidence` -> and `pinned_at`/`unpinned_at`; v9 adds the `memory_tombstones` repository-scope column/table -> and performs a one-time entity-canonicalization repair, then migrates automatically on first -> open. A tombstone with a known `repo_id` is terminal only in that repository; legacy repo-less -> tombstones remain global. See the [1.4.0 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#140---2026-08-02). - -> **Upgrading to 1.5:** schema 10 bounds legacy retention state and schema 11 backfills explicit -> approval only for eligible pre-review local memories. Pending and quarantined evidence remains -> gated. Existing 1.4.x databases migrate automatically when Engraphis 1.5 opens them; see the -> [1.5 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#15---2026-08-04). - -> **Upgrading to 1.6:** existing 1.5 databases migrate automatically through schema 12, which -> classifies content-free erasure markers before sync: existing markers become local-only -> `never_export`, while new secure erasures become `remote_erasure` only for non-secret -> `workspace`/`repo` records already eligible for sharing. Schema 13 adds per-memory hybrid -> logical clocks for deterministic descriptive-state sync and durable, content-free proof that a -> memory crossed a sync boundary. Schema 14 adds the Obsidian collection and import manifests; -> schema 15 generalizes them to source-neutral local documents, preserves temporal source lineage -> across re-imports, binds adapters and target scopes, and retains only bounded, content-free -> per-job format/result metadata. The schema 16 migration persists each import job's optional session target -> and requires source lineage and job-item attachments to remain in that exact session. See the -> [1.6 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#16---2026-08-15). - ---- - -## What Engraphis gives an agent - -An agent should not have to reconstruct a project from scattered chat history on every task. -Engraphis turns local project knowledge into scoped, time-aware memory; retrieves the evidence -that supports the current question; and returns a bounded, attributable context packet. - -The core task is continuity: retrieve the current, supported project decision without dragging the -whole history into the next prompt. See [measured token and context savings](#measured-token-and-context-savings) -for the short version of how much less history an agent has to carry. - -| Agent need | What Engraphis changes | -|---|---| -| Remember a project across sessions | Stores typed memory in a `workspace → repo → session` hierarchy and provides a last-session handoff. | -| Find support for the current task | Fuses vector, lexical, graph, and code-aware retrieval instead of relying on one search signal; `fast` can skip graph traversal for small or latency-sensitive vaults. | -| Know what is true now and what changed | Preserves bi-temporal history and supersession chains instead of silently overwriting a fact. | -| Avoid confident guesses | Returns cited evidence or explicitly abstains when support is too weak. | -| Avoid dragging the whole project into every prompt | Packs context to a configured hard budget and can return a compact MCP response. | -| Keep knowledge in the operator's control | Runs local-first and offline-capable, with scopes, audit records, and optional privacy-safe receipts. | - -## Dashboard and local UI - -The Engraphis dashboard opens `http://127.0.0.1:8700`. Local memory needs no cloud account, -signup, or API key and stays in a SQLite file on your machine. - -**Ledger** is the primary local interface for recall, memories, graph exploration, provenance, -workspaces, and manual consolidation. **Classic** preserves the former full tool suite; both use -the same local data. Switch in **Manage → Settings → Interface** (Ledger) or **Settings → -Appearance & Engine** (Classic). - -### Start it on every platform - -| Platform | How | -|----------|-----| -| **Windows** | Double-click **Engraphis Dashboard** on your Desktop or Start Menu (install: `engraphis-dashboard --install-shortcuts`) | -| **macOS** | Double-click **Engraphis Dashboard.app** on your Desktop (install: same command) | -| **Linux** | Desktop entry in Applications → Development (GNOME/KDE/etc.) | -| **Docker** | `docker compose up`: see `docker-compose.yml` for the one-command deployment | -| **Any** | `engraphis-dashboard` in a terminal | - -In a source checkout, `scripts/launch_dashboard.ps1` is only a Windows convenience wrapper. It -delegates configuration, startup health, browser opening, and process lifecycle to the same -`engraphis-dashboard` entrypoint rather than maintaining a second behavior path. - -### Accessibility-first inspection, built in - -Inspect memories, supersession diffs, recall scores, timelines, links, consolidation, and audit -records in the dashboard. The offline graph renderer is vendored, and the interface is keyboard- -navigable with light and dark themes. Graph exploration offers a focused **High quality** view and -an explicit worker-backed **Every node** view for complete entity projections up to 20,000 -nodes and 200,000 relationships; see the [graph performance profiles](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/GRAPH_PERFORMANCE.md). - ---- - -## How it works - -Engraphis gives agents durable, scoped, *explainable* project knowledge. The local engine combines -Ebbinghaus decay, bi-temporal facts, and hybrid vector/lexical/graph recall; it runs offline with -SQLite, local embeddings, and `numpy` only. - -- **Grounded and governed:** deterministic conflict resolution, cited answers or abstention, - explicit correction/promotion/forgetting, and a complete history. -- **Agent-ready:** MCP tools, hard-budget context packets, handoffs, and code-aware retrieval. -- **Auditable:** content-free receipt chains, provenance, and temporal/entity/code relationships. -- **Practical:** local file and code ingest, optional PDF/OCR/transcription, and SQLCipher at rest. - -### Optional LLM providers - -The memory engine, embeddings, conflict resolution, and recall stay local without an LLM. An -explicitly configured provider adds structured extraction, cited synthesis, consolidation, and -retention supervision. Configure it in **Settings → Connect an LLM**. The activity view records -outcomes, never keys, prompts, or raw provider responses. See the -[LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md) for setup and privacy choices. - -> Privacy boundary: text sent to an explicitly selected provider leaves the local process under -> that provider's terms. Use `ENGRAPHIS_RETENTION_SUPERVISOR=none` (the default) and the offline -> `chunk` extractor when ingestion must remain entirely local. - -Choose and configure an external LLM with the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md), -including OpenAI, Anthropic, Google, OpenRouter, Ollama, Cohere Command, Command Code Provider, -and other compatible endpoints. The guide also covers Codex subscription MCP connections. - ---- - -## Install - -```bash -pip install "engraphis[all]" # self-hosted dashboard, MCP, code graph, documents, transcription, PostgreSQL, and Cloud Sync -pip install "engraphis[server]" # dashboard + REST API -pip install "engraphis[mcp]" # MCP server only -pip install "engraphis[documents]" # PDF + image OCR bindings -pip install "engraphis[transcription]" # faster-whisper audio/video -pip install "engraphis[postgres]" # PostgreSQL schema introspection -pip install "engraphis[code]" # tree-sitter code graph indexing -pip install "engraphis[vector]" # native sqlite-vec exact-KNN acceleration -pip install "engraphis[cloud-sync]" # Cloud Sync client crypto/runtime -pip install "engraphis[encryption]" # SQLCipher encryption-at-rest extra -pip install engraphis # core library: numpy only, fully offline -``` - -The official Docker image includes the local Tesseract executable for image OCR. Outside -Docker, the `documents` extra installs its Python bindings; install Tesseract through your -operating system as well if you enable image OCR. - -The NumPy-only core library supports Python 3.9+. Current patched releases of the WebUI -stack, MCP SDK, image parser, and Cloud Sync client require Python 3.10+, so use Python 3.10 -or newer for the `server`, `mcp`, `documents`, `cloud-sync`, or `all` installation paths. - -The default `NumpyVectorIndex` performs an exact full scan. There is no universal memory-count -cutoff because latency depends on vector size, hardware, filters, and the rest of the recall -pipeline. Measure your machine with `python -m eval.vector_scale --backend numpy`, then run -`python -m eval.performance` on a representative corpus. If exact scans miss your latency target, -install `engraphis[vector]`, create the engine with `vector_backend="sqlite-vec"`, and remeasure. -The stable sqlite-vec `vec0` backend executes exact KNN in native code; it is acceleration, not a -claim of sublinear ANN scaling. See [BENCHMARKS.md](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) for the reproducible commands -and reporting limits. - -Dashboard, REST, and MCP entrypoints default to `ENGRAPHIS_VECTOR_BACKEND=auto`: they use -sqlite-vec when the `vector` extra is installed and compatible, then safely fall back to NumPy. -Programmatic `MemoryEngine.create()` and `MemoryService.create()` retain the deterministic -`numpy` default unless a backend is requested explicitly. -Use `python -m eval.vector_scale --backend sqlite-vec` for an input-identical direct-search -comparison; setup/index-build time is explicitly excluded from the timed search envelope. - -Persistent vectors fail closed unless the embedder can publish a durable, secret-free space -fingerprint. Sentence Transformers use the loaded Hub commit or a manifest of local artifacts; -when a remote model's immutable identity cannot be resolved, persistent vector recall remains -gated instead of mixing spaces. For programmatic OpenAI-compatible embeddings, construct -`ApiEmbedder` with an operator/provider `space_version`; without it the adapter remains usable for -ephemeral embedding only. Its `base_url` may be a provider root or a `/v1` root and is normalized -to exactly one `/v1/embeddings` endpoint. - -`sqlcipher3-binary` publishes CPython manylinux x86-64 wheels. On that target, -`engraphis[encryption]` installs the driver. The cross-platform `all` extra deliberately -omits it so `all` remains resolvable on macOS, Windows, Linux ARM, and musl; on those -targets, provision a compatible SQLCipher driver separately before enabling a database -key. The programmatic core remains plaintext unless a database key is configured. For a -fresh database, `engraphis-init` enables SQLCipher automatically when a compatible driver is -available, creates a private key sidecar, and can be overridden with `--no-encryption`. - -> **Linux / macOS:** if `pip install` fails with `error: externally-managed-environment`, -> your system Python is marked read-only (PEP 668). Install into a virtual environment -> instead. Run `python3 -m venv venv && source venv/bin/activate && pip install "engraphis[server]"` -> Alternatively, use Docker (`docker compose up`). `pipx install "engraphis[server]"` also works. - -> First run downloads `all-MiniLM-L6-v2` (~80 MB). Without it, the engine falls back -> to deterministic feature hashing so it always runs offline. That fallback captures lexical -> overlap, not meaning: recall and grounded MCP responses set `degraded_mode=true` and -> `semantic_support=false`, and disable vector retrieval plus semantic-cosine evidence. Install -> a declared embedding model for semantic retrieval. - -> To require a model that is already local, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` -> or `local:`. This path never downloads a model. If it is unavailable, Engraphis -> explicitly enters lexical degraded mode instead of presenting hash-vector scores as semantic. - ---- - -## Quickstart: dashboard - -```bash -pip install "engraphis[server]" -engraphis-dashboard # → http://127.0.0.1:8700 -engraphis-dashboard --install-shortcuts # → Desktop + Start Menu icons -``` - -> **Offline first run:** the first launch downloads the `all-MiniLM-L6-v2` embedding model -> (~80 MB), then runs fully offline. To stay offline-only, set -> `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never downloads; unknown local models -> enter lexical degraded mode instead of faking semantic scores). Extraction defaults to -> `ENGRAPHIS_EXTRACTOR=none` (verbatim writes), the vector backend defaults to `auto` (native -> acceleration when installed, otherwise NumPy), and recall without a usable semantic space -> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to -> verify the install, extras, and database writability. - -### Docker - -```bash -docker compose up # → http://127.0.0.1:8700 -``` - -For Docker Compose persistence and loopback-port configuration, see the -[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). -`engraphis-server` and `engraphis server` are headless compatibility aliases -for this same v2 service, so every public surface has the same scoped recall and retention model. - -For optional LAN exposure, token configuration, and HTTP MCP setup, see the -[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). - -Set `ENGRAPHIS_API_TOKEN` to require API authentication and `ENGRAPHIS_DB_KEY` to encrypt -the local database at rest. Hosted-plan credentials configure customer clients; they do not -install premium server implementations into this image. See `docker-compose.yml` for options. - ---- - -## Quickstart: MCP server (for coding agents) - -```bash -pip install "engraphis[mcp]" -engraphis-init # writes ~/.engraphis/config.env + prints config snippets -claude mcp add engraphis -- engraphis-mcp -codex mcp add engraphis -- engraphis-mcp # Codex subscription - -``` - -> **Offline first run:** the first tool call lazily loads the `all-MiniLM-L6-v2` embedding -> model (~80 MB, same download as the dashboard), then memory runs fully offline with no API -> key. To stay offline-only, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never -> downloads); extraction defaults to `ENGRAPHIS_EXTRACTOR=none`, the vector backend `auto` -> falls back to NumPy without the `vector` extra, and recall without a usable semantic space -> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to -> verify the install and database path before registering the server. - -For Codex subscription setup and verification, see the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md) -and the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md). - -`engraphis-mcp` is zero-configuration Smart MCP: agents begin with nine compact tools for sessions, -prompt-ready recall, durable memory, governed record read/update, conflict review, action discovery, -and safe execution. For code graphs, -governance, audit, or other advanced work, the agent calls `engraphis_discover_actions` and then -the indicated read or action executor; no profile selection is required. The gateway validates -the discovered capability again before it runs it, and clients remain responsible for their -normal destructive-action approval boundary. - +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`. +[`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) +records the matching suite digest, exact commands, and per-command config digests. The offline +fixture registry intentionally excludes external, model-dependent, consolidation, productivity, +and latency results. Completed retrieval-only diagnostics are published separately in the +[benchmark expansion results](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/BENCHMARK_EXPANSION_RESULTS.md) with redacted immutable +artifacts; no generated-answer, official leaderboard, hosted-latency, or paid result is claimed +here. + +The compact payload shape avoids duplicating full memory bodies when the packed context and source +list are enough. The evaluator tokenizes JSON-shaped full and compact payload proxies built from +recall results; it does **not** serialize the MCP envelope or measure a transport response. The +fixture therefore does not measure model-provider charges, end-to-end task time, or customer cost +savings. + +The measures are deliberately separate and **must not be added together**: chunking counts the +content of retrieved memory records before `ContextPacker`, whereas compact recall counts a +serialized JSON-shape payload proxy. “Tokens to evidence” is the size of the smallest +retrieved memory record holding the reference evidence; it is not latency or end-to-end answer +accuracy. Chunking creates more focused stored records, so this is a context-efficiency result, +not a storage-reduction claim. + +Reproduce the registered quality and token/context measurements without a network connection or +API key: + +```bash +python -m eval.grounded +python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json +``` + +These are small deterministic correctness and efficiency fixtures, not official LoCoMo / +LongMemEval QA scores or a third-party leaderboard result. Compact-response counts use the exact +`engraphis.regex.v1` counter; the chunking evaluation uses its documented deterministic +normalized-character estimator. Chunking measures retrieved memory content, while compact recall +measures a serialized JSON-shape payload proxy, not an MCP transport response. See the registered +artifact and [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) +for definitions, limitations, and canonical external-evaluation requirements. + +
    + +--- + +## Full Engraphis install: pip install "engraphis[all]" + +The complete `engraphis[all]` install is the default way to use Engraphis: it includes the local +dashboard, Smart MCP server, documents, Cloud Sync client, and supported optional integrations. +Python 3.10+ is required. + +```bash +pip install "engraphis[all]" +engraphis-dashboard +``` + +The dashboard opens at [http://127.0.0.1:8700](http://127.0.0.1:8700). Local memory needs no +account or API key. + +### Smaller installation options + +Use a smaller package only when you intentionally need a limited surface. The NumPy-only core +continues to support Python 3.9+. + +| Goal | Install | Start | +|---|---|---| +| Local dashboard and REST API | `pip install "engraphis[server]"` | `engraphis-dashboard` | +| Coding-agent memory over Smart MCP | `pip install "engraphis[mcp]"` | `codex mcp add engraphis -- engraphis-mcp` | +| Native SQLite vector acceleration | `pip install "engraphis[vector]"` | Server entrypoints select it automatically | +| Offline Python library | `pip install engraphis` | `MemoryService.create("engraphis.db")` | + +For MCP clients other than Codex, configure a stdio server whose command is `engraphis-mcp`; see +the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md). + +### Updating + +Use `engraphis-update` to upgrade the installation using its detected install method. Package +metadata does not record which extras were selected, so the updater defaults to the safe +superset `engraphis[all]` rather than silently dropping an optional surface. For a deliberate +selection, set `ENGRAPHIS_UPDATE_EXTRAS` to a comma-separated list (for example +`server,mcp`), or set it to `none` for the base package only. + +> **Upgrading to 1.4:** `engraphis-mcp` now exposes the nine-tool Smart gateway. Integrations that +> require the former 35 direct tool names should run `engraphis-mcp-classic`. The SQLite schema +> in the 1.4.0 release was version 9. Existing v7-to-v8 databases already contain `confidence` +> and `pinned_at`/`unpinned_at`; v9 adds the `memory_tombstones` repository-scope column/table +> and performs a one-time entity-canonicalization repair, then migrates automatically on first +> open. A tombstone with a known `repo_id` is terminal only in that repository; legacy repo-less +> tombstones remain global. See the [1.4.0 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#140---2026-08-02). + +> **Upgrading to 1.5:** schema 10 bounds legacy retention state and schema 11 backfills explicit +> approval only for eligible pre-review local memories. Pending and quarantined evidence remains +> gated. Existing 1.4.x databases migrate automatically when Engraphis 1.5 opens them; see the +> [1.5 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#15---2026-08-04). + +> **Upgrading to 1.6:** existing 1.5 databases migrate automatically through schema 12, which +> classifies content-free erasure markers before sync: existing markers become local-only +> `never_export`, while new secure erasures become `remote_erasure` only for non-secret +> `workspace`/`repo` records already eligible for sharing. Schema 13 adds per-memory hybrid +> logical clocks for deterministic descriptive-state sync and durable, content-free proof that a +> memory crossed a sync boundary. Schema 14 adds the Obsidian collection and import manifests; +> schema 15 generalizes them to source-neutral local documents, preserves temporal source lineage +> across re-imports, binds adapters and target scopes, and retains only bounded, content-free +> per-job format/result metadata. The schema 16 migration persists each import job's optional session target +> and requires source lineage and job-item attachments to remain in that exact session. See the +> [1.6 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#16---2026-08-15). + +--- + +## What Engraphis gives an agent + +An agent should not have to reconstruct a project from scattered chat history on every task. +Engraphis turns local project knowledge into scoped, time-aware memory; retrieves the evidence +that supports the current question; and returns a bounded, attributable context packet. + +The core task is continuity: retrieve the current, supported project decision without dragging the +whole history into the next prompt. See [measured token and context savings](#measured-token-and-context-savings) +for the short version of how much less history an agent has to carry. + +| Agent need | What Engraphis changes | +|---|---| +| Remember a project across sessions | Stores typed memory in a `workspace → repo → session` hierarchy and provides a last-session handoff. | +| Find support for the current task | Fuses vector, lexical, graph, and code-aware retrieval instead of relying on one search signal; `fast` can skip graph traversal for small or latency-sensitive vaults. | +| Know what is true now and what changed | Preserves bi-temporal history and supersession chains instead of silently overwriting a fact. | +| Avoid confident guesses | Returns cited evidence or explicitly abstains when support is too weak. | +| Avoid dragging the whole project into every prompt | Packs context to a configured hard budget and can return a compact MCP response. | +| Keep knowledge in the operator's control | Runs local-first and offline-capable, with scopes, audit records, and optional privacy-safe receipts. | + +## Dashboard and local UI + +The Engraphis dashboard opens `http://127.0.0.1:8700`. Local memory needs no cloud account, +signup, or API key and stays in a SQLite file on your machine. + +**Ledger** is the primary local interface for recall, memories, graph exploration, provenance, +workspaces, and manual consolidation. **Classic** preserves the former full tool suite; both use +the same local data. Switch in **Manage → Settings → Interface** (Ledger) or **Settings → +Appearance & Engine** (Classic). + +### Start it on every platform + +| Platform | How | +|----------|-----| +| **Windows** | Double-click **Engraphis Dashboard** on your Desktop or Start Menu (install: `engraphis-dashboard --install-shortcuts`) | +| **macOS** | Double-click **Engraphis Dashboard.app** on your Desktop (install: same command) | +| **Linux** | Desktop entry in Applications → Development (GNOME/KDE/etc.) | +| **Docker** | `docker compose up`: see `docker-compose.yml` for the one-command deployment | +| **Any** | `engraphis-dashboard` in a terminal | + +In a source checkout, `scripts/launch_dashboard.ps1` is only a Windows convenience wrapper. It +delegates configuration, startup health, browser opening, and process lifecycle to the same +`engraphis-dashboard` entrypoint rather than maintaining a second behavior path. + +### Accessibility-first inspection, built in + +Inspect memories, supersession diffs, recall scores, timelines, links, consolidation, and audit +records in the dashboard. The offline graph renderer is vendored, and the interface is keyboard- +navigable with light and dark themes. Graph exploration offers a focused **High quality** view and +an explicit worker-backed **Every node** view for complete entity projections up to 20,000 +nodes and 200,000 relationships; see the [graph performance profiles](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/GRAPH_PERFORMANCE.md). + +--- + +## How it works + +Engraphis gives agents durable, scoped, *explainable* project knowledge. The local engine combines +Ebbinghaus decay, bi-temporal facts, and hybrid vector/lexical/graph recall; it runs offline with +SQLite, local embeddings, and `numpy` only. + +- **Grounded and governed:** deterministic conflict resolution, cited answers or abstention, + explicit correction/promotion/forgetting, and a complete history. +- **Agent-ready:** MCP tools, hard-budget context packets, handoffs, and code-aware retrieval. +- **Auditable:** content-free receipt chains, provenance, and temporal/entity/code relationships. +- **Practical:** local file and code ingest, optional PDF/OCR/transcription, and SQLCipher at rest. + +### Optional LLM providers + +The memory engine, embeddings, conflict resolution, and recall stay local without an LLM. An +explicitly configured provider adds structured extraction, cited synthesis, consolidation, and +retention supervision. Configure it in **Settings → Connect an LLM**. The activity view records +outcomes, never keys, prompts, or raw provider responses. See the +[LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md) for setup and privacy choices. + +> Privacy boundary: text sent to an explicitly selected provider leaves the local process under +> that provider's terms. Use `ENGRAPHIS_RETENTION_SUPERVISOR=none` (the default) and the offline +> `chunk` extractor when ingestion must remain entirely local. + +Choose and configure an external LLM with the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md), +including OpenAI, Anthropic, Google, OpenRouter, Ollama, Cohere Command, Command Code Provider, +and other compatible endpoints. The guide also covers Codex subscription MCP connections. + +--- + +## Install + +```bash +pip install "engraphis[all]" # self-hosted dashboard, MCP, code graph, documents, transcription, PostgreSQL, and Cloud Sync +pip install "engraphis[server]" # dashboard + REST API +pip install "engraphis[mcp]" # MCP server only +pip install "engraphis[documents]" # PDF + image OCR bindings +pip install "engraphis[transcription]" # faster-whisper audio/video +pip install "engraphis[postgres]" # PostgreSQL schema introspection +pip install "engraphis[code]" # tree-sitter code graph indexing +pip install "engraphis[vector]" # native sqlite-vec exact-KNN acceleration +pip install "engraphis[cloud-sync]" # Cloud Sync client crypto/runtime +pip install "engraphis[encryption]" # SQLCipher encryption-at-rest extra +pip install engraphis # core library: numpy only, fully offline +``` + +The official Docker image includes the local Tesseract executable for image OCR. Outside +Docker, the `documents` extra installs its Python bindings; install Tesseract through your +operating system as well if you enable image OCR. + +The NumPy-only core library supports Python 3.9+. Current patched releases of the WebUI +stack, MCP SDK, image parser, and Cloud Sync client require Python 3.10+, so use Python 3.10 +or newer for the `server`, `mcp`, `documents`, `cloud-sync`, or `all` installation paths. + +The default `NumpyVectorIndex` performs an exact full scan. There is no universal memory-count +cutoff because latency depends on vector size, hardware, filters, and the rest of the recall +pipeline. Measure your machine with `python -m eval.vector_scale --backend numpy`, then run +`python -m eval.performance` on a representative corpus. If exact scans miss your latency target, +install `engraphis[vector]`, create the engine with `vector_backend="sqlite-vec"`, and remeasure. +The stable sqlite-vec `vec0` backend executes exact KNN in native code; it is acceleration, not a +claim of sublinear ANN scaling. See [BENCHMARKS.md](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) for the reproducible commands +and reporting limits. + +Dashboard, REST, and MCP entrypoints default to `ENGRAPHIS_VECTOR_BACKEND=auto`: they use +sqlite-vec when the `vector` extra is installed and compatible, then safely fall back to NumPy. +Programmatic `MemoryEngine.create()` and `MemoryService.create()` retain the deterministic +`numpy` default unless a backend is requested explicitly. +Use `python -m eval.vector_scale --backend sqlite-vec` for an input-identical direct-search +comparison; setup/index-build time is explicitly excluded from the timed search envelope. + +Persistent vectors fail closed unless the embedder can publish a durable, secret-free space +fingerprint. Sentence Transformers use the loaded Hub commit or a manifest of local artifacts; +when a remote model's immutable identity cannot be resolved, persistent vector recall remains +gated instead of mixing spaces. For programmatic OpenAI-compatible embeddings, construct +`ApiEmbedder` with an operator/provider `space_version`; without it the adapter remains usable for +ephemeral embedding only. Its `base_url` may be a provider root or a `/v1` root and is normalized +to exactly one `/v1/embeddings` endpoint. + +`sqlcipher3-binary` publishes CPython manylinux x86-64 wheels. On that target, +`engraphis[encryption]` installs the driver. The cross-platform `all` extra deliberately +omits it so `all` remains resolvable on macOS, Windows, Linux ARM, and musl; on those +targets, provision a compatible SQLCipher driver separately before enabling a database +key. The programmatic core remains plaintext unless a database key is configured. For a +fresh database, `engraphis-init` enables SQLCipher automatically when a compatible driver is +available, creates a private key sidecar, and can be overridden with `--no-encryption`. + +> **Linux / macOS:** if `pip install` fails with `error: externally-managed-environment`, +> your system Python is marked read-only (PEP 668). Install into a virtual environment +> instead. Run `python3 -m venv venv && source venv/bin/activate && pip install "engraphis[server]"` +> Alternatively, use Docker (`docker compose up`). `pipx install "engraphis[server]"` also works. + +> First run downloads `all-MiniLM-L6-v2` (~80 MB). Without it, the engine falls back +> to deterministic feature hashing so it always runs offline. That fallback captures lexical +> overlap, not meaning: recall and grounded MCP responses set `degraded_mode=true` and +> `semantic_support=false`, and disable vector retrieval plus semantic-cosine evidence. Install +> a declared embedding model for semantic retrieval. + +> To require a model that is already local, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` +> or `local:`. This path never downloads a model. If it is unavailable, Engraphis +> explicitly enters lexical degraded mode instead of presenting hash-vector scores as semantic. + +--- + +## Quickstart: dashboard + +```bash +pip install "engraphis[server]" +engraphis-dashboard # → http://127.0.0.1:8700 +engraphis-dashboard --install-shortcuts # → Desktop + Start Menu icons +``` + +> **Offline first run:** the first launch downloads the `all-MiniLM-L6-v2` embedding model +> (~80 MB), then runs fully offline. To stay offline-only, set +> `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never downloads; unknown local models +> enter lexical degraded mode instead of faking semantic scores). Extraction defaults to +> `ENGRAPHIS_EXTRACTOR=none` (verbatim writes), the vector backend defaults to `auto` (native +> acceleration when installed, otherwise NumPy), and recall without a usable semantic space +> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to +> verify the install, extras, and database writability. + +### Docker + +```bash +docker compose up # → http://127.0.0.1:8700 +``` + +For Docker Compose persistence and loopback-port configuration, see the +[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). +`engraphis-server` and `engraphis server` are headless compatibility aliases +for this same v2 service, so every public surface has the same scoped recall and retention model. + +For optional LAN exposure, token configuration, and HTTP MCP setup, see the +[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). + +Set `ENGRAPHIS_API_TOKEN` to require API authentication and `ENGRAPHIS_DB_KEY` to encrypt +the local database at rest. Hosted-plan credentials configure customer clients; they do not +install premium server implementations into this image. See `docker-compose.yml` for options. + +--- + +## Quickstart: MCP server (for coding agents) + +```bash +pip install "engraphis[mcp]" +engraphis-init # writes ~/.engraphis/config.env + prints config snippets +claude mcp add engraphis -- engraphis-mcp +codex mcp add engraphis -- engraphis-mcp # Codex subscription + +``` + +> **Offline first run:** the first tool call lazily loads the `all-MiniLM-L6-v2` embedding +> model (~80 MB, same download as the dashboard), then memory runs fully offline with no API +> key. To stay offline-only, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never +> downloads); extraction defaults to `ENGRAPHIS_EXTRACTOR=none`, the vector backend `auto` +> falls back to NumPy without the `vector` extra, and recall without a usable semantic space +> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to +> verify the install and database path before registering the server. + +For Codex subscription setup and verification, see the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md) +and the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md). + +`engraphis-mcp` is zero-configuration Smart MCP: agents begin with nine compact tools for sessions, +prompt-ready recall, durable memory, governed record read/update, conflict review, action discovery, +and safe execution. For code graphs, +governance, audit, or other advanced work, the agent calls `engraphis_discover_actions` and then +the indicated read or action executor; no profile selection is required. The gateway validates +the discovered capability again before it runs it, and clients remain responsible for their +normal destructive-action approval boundary. + Existing clients that use named tools can use -`engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, -including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). +`engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, +including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). ### Choose where agent memories belong @@ -428,147 +428,147 @@ including `"default"`, take precedence; update older instructions or hooks that Memory types describe the kind of memory, not its destination. See [workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) for setup, routing precedence, and previewing moves of existing memories. - -### Pi extension - -For installation, configuration, lifecycle commands, and the local trust boundary, see the -[Pi extension guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md). - -### Command Code SessionStart hook - -`integrations/commandcode/` ships a SessionStart hook that warms up a new -session with bounded, recalled context from the local Engraphis gateway. Fails -open on timeout and is installed via `python scripts/install_cc_hook.py`. + +### Pi extension + +For installation, configuration, lifecycle commands, and the local trust boundary, see the +[Pi extension guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md). + +### Command Code SessionStart hook + +`integrations/commandcode/` ships a SessionStart hook that warms up a new +session with bounded, recalled context from the local Engraphis gateway. Fails +open on timeout and is installed via `python scripts/install_cc_hook.py`. The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` override must be cleared to use the mapping. Its context header shows the resolved workspace. - -### prime-agent fleet - -`integrations/prime_agent/` ships a first-party Python package for -[PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) -that exposes the same nine Smart MCP tools, with a `PrimeAgentFleet` of eight -named sub-agents (`researcher`, `planner`, `coder`, `reviewer`, `tester`, -`documenter`, `monitor`, `integrator`) sharing one `engraphis-mcp` stdio -subprocess. Install via `pip install ./integrations/prime_agent` and register -with `python scripts/install_prime_agent.py`. See the -[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md). - -**What the integration is.** A `PrimeAgentFleet` is a thin Python layer -around the same `engraphis-mcp` Smart gateway every other host uses. At -runtime the fleet holds one shared `EngraphisMcpClient`, which owns one -`engraphis-mcp` subprocess over JSON-RPC stdio. Each of the eight named -sub-agents gets its own Engraphis session (started lazily on first tool use) -and its own default `repo` scope, so per-role memory is isolated while the -local gateway stays single-process. The eight sub-agent names -(`researcher`, `planner`, `coder`, `reviewer`, `tester`, `documenter`, -`monitor`, `integrator`) are the fixed default; pass `agent_names=[...]` to -`PrimeAgentFleet(...)` for a custom set. Concurrent tool calls serialize at -the JSON-RPC frame layer through an `asyncio.Lock`, so framework-level -parallelism (eight sub-agents reasoning at once) is preserved while the -underlying MCP transport remains one ordered stream. The only integration -surface is `EngraphisPrimeAgent.register()` in -`integrations/prime_agent/src/engraphis_prime_agent/agent.py` -- that is the -single adapter point to override if prime-agent's tool-registration API -differs from the assumed `target.register_tool(name, fn, schema=...)` -contract. - -The design -- eight named sub-agents, one shared stdio subprocess, -per-agent session bootstrap, and `ENGRAPHIS_*`-only environment forwarding -to the gateway -- is recorded in `~/.commandcode/plans/prime-agent-integration.md` -on the host where the integration was developed. When that host plan is not -available (other contributor machines, CI), the same design is summarized in -the PR description that introduced the integration and in the -[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md) -("Architecture" and "Concurrency model" sections). - -## Quickstart: repository graph - -```bash -pip install "engraphis[code]" -engraphis-graph index -w acme -r api --root . -engraphis-graph search -w acme -r api "UserService" -# `query`/`explain` blend code search with your stored memories: query matches symbol -# and file NAMES (a full question sentence won't match anything), and explain's answer -# is drawn from memories recorded against the repo; both are empty on a fresh index. -engraphis-graph query -w acme -r api "UserService" -engraphis-graph explain -w acme -r api "why does deploy depend on approval?" -engraphis-graph path -w acme -r api UserService DatabasePool -engraphis-graph impact -w acme -r api --root . --git-range origin/main...HEAD -engraphis-graph prs -w acme -r api --base main --head HEAD -engraphis-graph export -w acme -r api -o engraphis-graph-out -engraphis-graph install-merge-driver --root . -``` - -The export contains `graph.json`, a self-contained `graph.html`, and `GRAPH_REPORT.md`. -Indexing supports Python, JavaScript, TypeScript, Go, Rust, Java, C#, C, C++, SQL, and -Terraform. Tree-sitter is used when available; the dependency-free regex backend remains a -functional fallback. Definitions, methods, calls, imports, ownership, variables, -inheritance/implementation, and docstrings/comments are indexed. Indexing is incremental by -content hash, honors `.engraphisignore`, and does not follow file symlinks outside the repository -root. Call edges are name-based and best-effort rather than type-resolved. The optional Git merge -driver validates bounded graph JSON and deterministically unions nodes and edges instead of -choosing one export side. - -For a read-only recall and graph API that can be shared without exposing write operations: - -```bash -pip install "engraphis[server]" -engraphis-graph-server # API at http://127.0.0.1:8720; schema at /openapi.json -``` - -A non-loopback bind fails closed unless `ENGRAPHIS_GRAPH_TOKEN` (or -`ENGRAPHIS_API_TOKEN`) is set. See [the v3 architecture/design document](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md). - ---- - -## Quickstart: Python library - -```python -from engraphis.service import MemoryService - -mem = MemoryService.create("engraphis.db") -mem.remember("Auth migrated from JWT to PASETO.", workspace="acme", repo="api") -hit = mem.recall("why did we change auth?", workspace="acme", repo="api") -print(hit["context"]) -``` - -The same `MemoryService` backs the dashboard and the MCP server. The package root also -intentionally exposes the low-level engine facade (`MemoryEngine`, `create_memory_engine`) -for advanced composition, while `MemoryService` remains the high-level service API. - -New writes support `session`, `repo`, and `workspace` visibility. `scope="user"` is reserved and -rejected until records carry an immutable owner identity; it must not be treated as private -per-person memory. Historical user-scope rows remain workspace-bound for compatibility. - -After an upgrade, `stats()` reports prompt-eligibility counts and active embedding-space -coverage. Zero-result recall identifies a review-gated scope instead of silently looking empty, -and `engraphis-cli review list|approve` provides a dry-run-first local bulk workflow. Embedding -model changes trigger a guarded rebuild; vector recall stays disabled until every stored vector -matches the new fingerprint. See [recall recovery](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RECALL_RECOVERY.md). - -Agent hosts can avoid retrieval when their existing history already fits: - -```python -decision = mem.adaptive_context( - "what should the agent do next?", - current_history, - workspace="acme", - repo="api", - max_context_tokens=8_192, - retrieval_token_budget=1_024, -) -prompt_context = decision["context"] -``` - -The decision is `history_bypass` when the history fits, `retrieval` when compact evidence is -strong, and `history_fallback` when weak retrieval should widen back to recent raw history. - -For an agent prompt, prefer `engraphis_recall_context`: it returns one hard-budget packed -`context` plus compact `sources`, deterministic `usage` accounting (`budget_tokens`, `context_tokens`, -`source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and -`token_counter`), and optional diagnostics. Accounting is exact for the named counter; inject the -reader's tokenizer when reader-model token parity is required. `engraphis_recall` remains the compatible full-recall + +### prime-agent fleet + +`integrations/prime_agent/` ships a first-party Python package for +[PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) +that exposes the same nine Smart MCP tools, with a `PrimeAgentFleet` of eight +named sub-agents (`researcher`, `planner`, `coder`, `reviewer`, `tester`, +`documenter`, `monitor`, `integrator`) sharing one `engraphis-mcp` stdio +subprocess. Install via `pip install ./integrations/prime_agent` and register +with `python scripts/install_prime_agent.py`. See the +[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md). + +**What the integration is.** A `PrimeAgentFleet` is a thin Python layer +around the same `engraphis-mcp` Smart gateway every other host uses. At +runtime the fleet holds one shared `EngraphisMcpClient`, which owns one +`engraphis-mcp` subprocess over JSON-RPC stdio. Each of the eight named +sub-agents gets its own Engraphis session (started lazily on first tool use) +and its own default `repo` scope, so per-role memory is isolated while the +local gateway stays single-process. The eight sub-agent names +(`researcher`, `planner`, `coder`, `reviewer`, `tester`, `documenter`, +`monitor`, `integrator`) are the fixed default; pass `agent_names=[...]` to +`PrimeAgentFleet(...)` for a custom set. Concurrent tool calls serialize at +the JSON-RPC frame layer through an `asyncio.Lock`, so framework-level +parallelism (eight sub-agents reasoning at once) is preserved while the +underlying MCP transport remains one ordered stream. The only integration +surface is `EngraphisPrimeAgent.register()` in +`integrations/prime_agent/src/engraphis_prime_agent/agent.py` -- that is the +single adapter point to override if prime-agent's tool-registration API +differs from the assumed `target.register_tool(name, fn, schema=...)` +contract. + +The design -- eight named sub-agents, one shared stdio subprocess, +per-agent session bootstrap, and `ENGRAPHIS_*`-only environment forwarding +to the gateway -- is recorded in `~/.commandcode/plans/prime-agent-integration.md` +on the host where the integration was developed. When that host plan is not +available (other contributor machines, CI), the same design is summarized in +the PR description that introduced the integration and in the +[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md) +("Architecture" and "Concurrency model" sections). + +## Quickstart: repository graph + +```bash +pip install "engraphis[code]" +engraphis-graph index -w acme -r api --root . +engraphis-graph search -w acme -r api "UserService" +# `query`/`explain` blend code search with your stored memories: query matches symbol +# and file NAMES (a full question sentence won't match anything), and explain's answer +# is drawn from memories recorded against the repo; both are empty on a fresh index. +engraphis-graph query -w acme -r api "UserService" +engraphis-graph explain -w acme -r api "why does deploy depend on approval?" +engraphis-graph path -w acme -r api UserService DatabasePool +engraphis-graph impact -w acme -r api --root . --git-range origin/main...HEAD +engraphis-graph prs -w acme -r api --base main --head HEAD +engraphis-graph export -w acme -r api -o engraphis-graph-out +engraphis-graph install-merge-driver --root . +``` + +The export contains `graph.json`, a self-contained `graph.html`, and `GRAPH_REPORT.md`. +Indexing supports Python, JavaScript, TypeScript, Go, Rust, Java, C#, C, C++, SQL, and +Terraform. Tree-sitter is used when available; the dependency-free regex backend remains a +functional fallback. Definitions, methods, calls, imports, ownership, variables, +inheritance/implementation, and docstrings/comments are indexed. Indexing is incremental by +content hash, honors `.engraphisignore`, and does not follow file symlinks outside the repository +root. Call edges are name-based and best-effort rather than type-resolved. The optional Git merge +driver validates bounded graph JSON and deterministically unions nodes and edges instead of +choosing one export side. + +For a read-only recall and graph API that can be shared without exposing write operations: + +```bash +pip install "engraphis[server]" +engraphis-graph-server # API at http://127.0.0.1:8720; schema at /openapi.json +``` + +A non-loopback bind fails closed unless `ENGRAPHIS_GRAPH_TOKEN` (or +`ENGRAPHIS_API_TOKEN`) is set. See [the v3 architecture/design document](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md). + +--- + +## Quickstart: Python library + +```python +from engraphis.service import MemoryService + +mem = MemoryService.create("engraphis.db") +mem.remember("Auth migrated from JWT to PASETO.", workspace="acme", repo="api") +hit = mem.recall("why did we change auth?", workspace="acme", repo="api") +print(hit["context"]) +``` + +The same `MemoryService` backs the dashboard and the MCP server. The package root also +intentionally exposes the low-level engine facade (`MemoryEngine`, `create_memory_engine`) +for advanced composition, while `MemoryService` remains the high-level service API. + +New writes support `session`, `repo`, and `workspace` visibility. `scope="user"` is reserved and +rejected until records carry an immutable owner identity; it must not be treated as private +per-person memory. Historical user-scope rows remain workspace-bound for compatibility. + +After an upgrade, `stats()` reports prompt-eligibility counts and active embedding-space +coverage. Zero-result recall identifies a review-gated scope instead of silently looking empty, +and `engraphis-cli review list|approve` provides a dry-run-first local bulk workflow. Embedding +model changes trigger a guarded rebuild; vector recall stays disabled until every stored vector +matches the new fingerprint. See [recall recovery](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RECALL_RECOVERY.md). + +Agent hosts can avoid retrieval when their existing history already fits: + +```python +decision = mem.adaptive_context( + "what should the agent do next?", + current_history, + workspace="acme", + repo="api", + max_context_tokens=8_192, + retrieval_token_budget=1_024, +) +prompt_context = decision["context"] +``` + +The decision is `history_bypass` when the history fits, `retrieval` when compact evidence is +strong, and `history_fallback` when weak retrieval should widen back to recent raw history. + +For an agent prompt, prefer `engraphis_recall_context`: it returns one hard-budget packed +`context` plus compact `sources`, deterministic `usage` accounting (`budget_tokens`, `context_tokens`, +`source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and +`token_counter`), and optional diagnostics. Accounting is exact for the named counter; inject the +reader's tokenizer when reader-model token parity is required. `engraphis_recall` remains the compatible full-recall surface; use `response_mode="compact"` when the packed context is enough and full memory bodies would duplicate it. For advanced query-planning configuration, see the [architecture guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md#query-planning). @@ -590,339 +590,339 @@ and title-only revisions preserve valid bindings. History preserves the original MCP response trimming removes binding metadata whenever its supporting context is omitted. For bi-temporal reads, `valid_at` selects what was true at a Unix timestamp and `known_at` selects -what Engraphis had learned then. `as_of` remains a compatibility alias for `valid_at`; supplying -both is allowed only when they match. - -For a mutable claim, pass a stable `subject_key` and optional `claim_kind`, such as -`subject_key="api.rate_limit", claim_kind="configured_value"`. Offline conflict resolution -deterministically adds, reinforces, relates, or supersedes records while preserving temporal -history; it does not need an LLM. Matching claim identities let it supersede substantially -reworded mutable facts. Without them, the dependency-free lexical embedder cannot reliably infer -that a paraphrase is a contradiction, so keep both records or use an explicit `correct` operation. - ---- - -## Govern memories without losing history - -Engraphis separates automatic write resolution from explicit human governance: - -| Operation | Use it when | What happens to history | -|---|---|---| -| `remember` | Adding or restating one fact | Adds, reinforces, safely supersedes, or relates an uncertain neighbor | -| `correct` | Replacing one known-wrong memory | Closes the old validity window and links the replacement | -| `promote` | A narrow learning now applies more broadly | Writes a wider-scope successor and closes/links the source instead of editing scope in place | -| `merge` | Combining two or more overlapping memories | Retires every source and creates one memory that supersedes all of them | -| `retire` | Removing a memory from live recall | Bi-temporally closes it; the audit/history record remains | -| `consolidate` | Distilling recurring episodic memories automatically | Creates linked semantic digests; source episodes remain live | - -Manual N→1 merge is available through `MemoryService.merge()` and `POST /api/merge`: - -```python -a = mem.remember("Deploys happen Friday at 3pm.", workspace="acme") -b = mem.remember("We deploy Fridays around 15:00.", workspace="acme") - -merged = mem.merge( - [a["id"], b["id"]], - "Deploys ship every Friday at approximately 15:00.", - workspace="acme", - reason="deduplicate the deployment schedule", -) -print(merged["compaction"]) -``` - -`retire` is intentionally not deletion: it preserves temporal history, FTS, and vector -evidence for historical reads. If a credential was captured, new writes are blocked before -storage; for a legacy leak use the explicitly destructive `MemoryService.secure_erase()` or -`POST /api/secure-erase`/`engraphis_secure_erase`. That flow removes the one memory and local -FTS/vector-index and derived graph/link rows, runs SQLite secure-delete, WAL checkpoint, and -VACUUM, and scans recognised local SQLite recovery backups. It cannot erase exports, filesystem -snapshots, remote peers, unknown backups, or information a running/compromised agent already -read; rotate the credential. See [secure-erasure limits](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SECURE_ERASURE.md). `forget` -remains a deprecated compatibility alias for `retire`. - -All sources must belong to the named workspace. The result inherits the strictest source -sensitivity, remains untrusted if any source was untrusted, and stays pinned if any source was -pinned. The full multi-predecessor chain remains visible through inspection, Why, and Timeline. - ---- - -## Free forever vs. hosted plans - -The core engine, local dashboard, MCP server, and manual consolidation are Apache-2.0 and free. -**Pro and Team are services** that provide optional access to the official hosted service; its -control-plane, billing, relay, compute, and Team identity modules live in a private repository. -They do not limit the local core. See -[hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), [licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for service boundaries, lifecycle, and pricing. - -[Subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_pricing#billing) -to support the project and add hosted services. - -[Compare hosted plans](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing) -when you are ready to evaluate the service boundary and billing options. - -| | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | -|---|---|---|---| -| Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | +what Engraphis had learned then. `as_of` remains a compatibility alias for `valid_at`; supplying +both is allowed only when they match. + +For a mutable claim, pass a stable `subject_key` and optional `claim_kind`, such as +`subject_key="api.rate_limit", claim_kind="configured_value"`. Offline conflict resolution +deterministically adds, reinforces, relates, or supersedes records while preserving temporal +history; it does not need an LLM. Matching claim identities let it supersede substantially +reworded mutable facts. Without them, the dependency-free lexical embedder cannot reliably infer +that a paraphrase is a contradiction, so keep both records or use an explicit `correct` operation. + +--- + +## Govern memories without losing history + +Engraphis separates automatic write resolution from explicit human governance: + +| Operation | Use it when | What happens to history | +|---|---|---| +| `remember` | Adding or restating one fact | Adds, reinforces, safely supersedes, or relates an uncertain neighbor | +| `correct` | Replacing one known-wrong memory | Closes the old validity window and links the replacement | +| `promote` | A narrow learning now applies more broadly | Writes a wider-scope successor and closes/links the source instead of editing scope in place | +| `merge` | Combining two or more overlapping memories | Retires every source and creates one memory that supersedes all of them | +| `retire` | Removing a memory from live recall | Bi-temporally closes it; the audit/history record remains | +| `consolidate` | Distilling recurring episodic memories automatically | Creates linked semantic digests; source episodes remain live | + +Manual N→1 merge is available through `MemoryService.merge()` and `POST /api/merge`: + +```python +a = mem.remember("Deploys happen Friday at 3pm.", workspace="acme") +b = mem.remember("We deploy Fridays around 15:00.", workspace="acme") + +merged = mem.merge( + [a["id"], b["id"]], + "Deploys ship every Friday at approximately 15:00.", + workspace="acme", + reason="deduplicate the deployment schedule", +) +print(merged["compaction"]) +``` + +`retire` is intentionally not deletion: it preserves temporal history, FTS, and vector +evidence for historical reads. If a credential was captured, new writes are blocked before +storage; for a legacy leak use the explicitly destructive `MemoryService.secure_erase()` or +`POST /api/secure-erase`/`engraphis_secure_erase`. That flow removes the one memory and local +FTS/vector-index and derived graph/link rows, runs SQLite secure-delete, WAL checkpoint, and +VACUUM, and scans recognised local SQLite recovery backups. It cannot erase exports, filesystem +snapshots, remote peers, unknown backups, or information a running/compromised agent already +read; rotate the credential. See [secure-erasure limits](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SECURE_ERASURE.md). `forget` +remains a deprecated compatibility alias for `retire`. + +All sources must belong to the named workspace. The result inherits the strictest source +sensitivity, remains untrusted if any source was untrusted, and stays pinned if any source was +pinned. The full multi-predecessor chain remains visible through inspection, Why, and Timeline. + +--- + +## Free forever vs. hosted plans + +The core engine, local dashboard, MCP server, and manual consolidation are Apache-2.0 and free. +**Pro and Team are services** that provide optional access to the official hosted service; its +control-plane, billing, relay, compute, and Team identity modules live in a private repository. +They do not limit the local core. See +[hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), [licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for service boundaries, lifecycle, and pricing. + +[Subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_pricing#billing) +to support the project and add hosted services. + +[Compare hosted plans](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing) +when you are ready to evaluate the service boundary and billing options. + +| | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | +|---|---|---|---| +| Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | | Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | -| Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | -| Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | -| Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | -| Hosted Cloud Sync | | ✓ | ✓ | -| Hosted Analytics | | ✓ | ✓ | -| Hosted Auto Consolidation + retention policy | | ✓ | ✓ | -| Hosted Auto Dreaming + managed proposals | | ✓ | ✓ | -| Priority support | | ✓ | ✓ | -| Hosted multi-user dashboard: invitations, logins, roles, seat management | | | ✓ | -| Hosted Team audit log + CSV export | | | ✓ | -| 72-hour pending invitations (resend/revoke) | | | ✓ | -| Scoped, expiring per-user agent and sync tokens | | | ✓ | - ---- - -## MCP tools - +| Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | +| Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | +| Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | +| Hosted Cloud Sync | | ✓ | ✓ | +| Hosted Analytics | | ✓ | ✓ | +| Hosted Auto Consolidation + retention policy | | ✓ | ✓ | +| Hosted Auto Dreaming + managed proposals | | ✓ | ✓ | +| Priority support | | ✓ | ✓ | +| Hosted multi-user dashboard: invitations, logins, roles, seat management | | | ✓ | +| Hosted Team audit log + CSV export | | | ✓ | +| 72-hour pending invitations (resend/revoke) | | | ✓ | +| Scoped, expiring per-user agent and sync tokens | | | ✓ | + +--- + +## MCP tools + Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility -server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. -The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for -the full inventory and parameters. - ---- - -## Graphs and privacy-safe receipts - -Memory, entity, and code relationships live in one local graph. Engraphis also provides -content-free operation receipts for inspectable audit evidence. See the -[architecture](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md), [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md), and -[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) for the data model, tools, and guarantees. - ---- - -## Cloud sync - -Cloud Sync is an optional hosted Pro/Team service. The public package includes the customer client -and deterministic merge implementation; hosted relay and account operations are separate. See -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for setup, encryption, merge behavior, and the local folder exchange. - -The public package ships the same sync client as a console script and CLI verb: -`engraphis-sync` (installed entry point), `engraphis sync ...`, and -`python -m scripts.sync --status` for local-only state without network activity. See -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for -flags, encryption, merge behavior, and the local folder exchange. - ---- - -## Security and trust boundaries - -Engraphis is local-first and binds to loopback by default. Read the -[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) before remote deployment or integrating external resources; it -covers supported versions, data protections, threat model, and vulnerability reporting. - ---- - -## Encryption at rest - -Set `ENGRAPHIS_DB_KEY` (or `ENGRAPHIS_DB_KEY_FILE`) and install the extra: - -```bash -pip install "engraphis[encryption]" -``` - -The entire main memory database file is transparently encrypted with AES-256 via SQLCipher; -full-text search, the graph, and every query keep working unchanged. Customer authentication -and managed-service state use their respective deployment protections. When a key is set for the -main database, Engraphis **fails closed with an error** rather than silently falling back to -plaintext. Generate a strong key: - -```bash -python -c "import secrets; print(secrets.token_hex(32))" -``` - -When using `ENGRAPHIS_DB_KEY_FILE`, provision a regular secret file readable only by the -service identity. Engraphis rejects links, reparse points, hard links, malformed text, and -oversized key files rather than following an unexpected filesystem object. - -> An existing plaintext database cannot be opened with a key: migrate it (dump → import -> into a fresh keyed DB). See `.env.example` for all encryption options. - ---- - -## Import files and folders - -The dependency-free universal core scans Markdown, plain text, RST, HTML, JSON/JSONL, CSV/TSV, -configuration/XML text, source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB into the normal -v2 memory path. Installed local resource adapters add PDF text, image OCR, and explicitly -local-model audio/video transcription. -Start with a zero-write -preview, then confirm the same source collection explicitly: - -```bash -engraphis import documents /path/to/collection --workspace acme --dry-run -engraphis import documents /path/to/collection --workspace acme --repo product --yes -``` - -The CLI never downloads an embedding model during import. Use a model that is already cached, -set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path`, or explicitly set -`ENGRAPHIS_EMBED_MODEL` to an empty value to use dependency-free deterministic hashing in -lexical degraded mode. - -The dashboard’s **Import local documents** flow offers the same preview, target scope, source -label, conflict policy, cancellation, and resumable progress. Re-imports are idempotent, -preserve temporal history, and report source removals without hard-deleting memories. Obsidian -remains the rich Markdown adapter for frontmatter, aliases, wikilinks, and attachment references: - -```bash -engraphis import obsidian /path/to/vault --workspace acme --dry-run -``` - -See the [document import guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCUMENT_IMPORT.md) -for supported formats, source safety, resume and conflict behavior, optional adapters, and -limitations; see the [Obsidian adapter guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/OBSIDIAN_IMPORT.md) -for Markdown-specific behavior. - ---- - -## Consolidation and automation - -Manual consolidation is free, local, and dry-run by default; use the dashboard, SDK, CLI, or -MCP. Hosted Pro and Team automation is optional managed compute that produces reviewable -proposals rather than silently changing local data. See [hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), -[licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) for scope and use. - ---- - -## Configuration - -Values come from the process environment. Engraphis also loads the owner-private -`~/.engraphis/config.env`; `ENGRAPHIS_ENV_FILE` can select another absolute owner-private regular -file. It never searches the working directory for `.env`, and explicit process variables win. - -| Env Var | Default | Description | -|---------|---------|-------------| -| `ENGRAPHIS_ENV_FILE` | `~/.engraphis/config.env` | Optional trusted config leaf selected before trusted values load. Its bounded dependency-free parser performs no interpolation. An explicit value must be an absolute path to an owner-private regular file; arbitrary working-directory `.env` files are ignored. | -| `ENGRAPHIS_DB_PATH` | Source: `/engraphis.db`; installed: platform user-data directory | SQLite database file. Installed defaults are `%LOCALAPPDATA%\engraphis\engraphis.db` (Windows), `~/Library/Application Support/engraphis/engraphis.db` (macOS), and `$XDG_DATA_HOME/engraphis/engraphis.db` or `~/.local/share/engraphis/engraphis.db` (Linux). The environment variable overrides every default; a relative value is resolved from the trusted `~/.engraphis/config.env` directory so launch CWD cannot select a different workspace database. | -| `ENGRAPHIS_SQLITE_DURABILITY` | `durable` | Writable file databases use WAL and FULL commit synchronization. Explicit `balanced` selects NORMAL, which can lose recent acknowledged writes after OS/power failure. Effective settings appear in diagnostics; see [SQLite durability](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SQLITE_DURABILITY.md). | -| `ENGRAPHIS_HOST` | `127.0.0.1` | Server bind address | -| `ENGRAPHIS_PORT` | `8700` | Dashboard port. A platform-injected `$PORT` (Railway/Fly/Heroku) takes precedence over this value for the dashboard bind; Compose pins both to `ENGRAPHIS_COMPOSE_PORT` so the mapping stays in sync | -| `ENGRAPHIS_SERVICE_MODE` | `customer` | The public package supports only `customer`; hosted vendor, relay, compute, and worker roles are not distributed here | -| `ENGRAPHIS_API_TOKEN` | Not set | Optional bearer credential for this single-user local customer node; never reuse a hosted credential | -| `ENGRAPHIS_CORS_ORIGINS` | loopback on `ENGRAPHIS_PORT` | Comma-separated REST CORS allow-list; defaults to `127.0.0.1` and `localhost` on the configured port | -| `ENGRAPHIS_INDEX_ROOTS` | Working, home, and temporary directories | Optional path-separator-delimited absolute-path allow-list that replaces the default roots accepted by local code indexing | -| `ENGRAPHIS_HTTP_INDEX_ROOT` | First `ENGRAPHIS_INDEX_ROOTS` entry, or current directory | Single root for dashboard and REST `POST /api/code/index`; submitted paths resolve beneath it. An explicit root (or fallback entry) must be absolute; an explicit HTTP root is included in the engine-approved set. MCP and CLI indexing continue to use `ENGRAPHIS_INDEX_ROOTS`. | -| `ENGRAPHIS_DB_KEY` | Not set | Encrypt the database at rest (SQLCipher). Or use `ENGRAPHIS_DB_KEY_FILE` | -| `ENGRAPHIS_EMBED_MODEL` | `sentence-transformers/all-MiniLM-L6-v2` | sentence-transformers model | +server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. +The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for +the full inventory and parameters. + +--- + +## Graphs and privacy-safe receipts + +Memory, entity, and code relationships live in one local graph. Engraphis also provides +content-free operation receipts for inspectable audit evidence. See the +[architecture](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md), [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md), and +[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) for the data model, tools, and guarantees. + +--- + +## Cloud sync + +Cloud Sync is an optional hosted Pro/Team service. The public package includes the customer client +and deterministic merge implementation; hosted relay and account operations are separate. See +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for setup, encryption, merge behavior, and the local folder exchange. + +The public package ships the same sync client as a console script and CLI verb: +`engraphis-sync` (installed entry point), `engraphis sync ...`, and +`python -m scripts.sync --status` for local-only state without network activity. See +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for +flags, encryption, merge behavior, and the local folder exchange. + +--- + +## Security and trust boundaries + +Engraphis is local-first and binds to loopback by default. Read the +[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) before remote deployment or integrating external resources; it +covers supported versions, data protections, threat model, and vulnerability reporting. + +--- + +## Encryption at rest + +Set `ENGRAPHIS_DB_KEY` (or `ENGRAPHIS_DB_KEY_FILE`) and install the extra: + +```bash +pip install "engraphis[encryption]" +``` + +The entire main memory database file is transparently encrypted with AES-256 via SQLCipher; +full-text search, the graph, and every query keep working unchanged. Customer authentication +and managed-service state use their respective deployment protections. When a key is set for the +main database, Engraphis **fails closed with an error** rather than silently falling back to +plaintext. Generate a strong key: + +```bash +python -c "import secrets; print(secrets.token_hex(32))" +``` + +When using `ENGRAPHIS_DB_KEY_FILE`, provision a regular secret file readable only by the +service identity. Engraphis rejects links, reparse points, hard links, malformed text, and +oversized key files rather than following an unexpected filesystem object. + +> An existing plaintext database cannot be opened with a key: migrate it (dump → import +> into a fresh keyed DB). See `.env.example` for all encryption options. + +--- + +## Import files and folders + +The dependency-free universal core scans Markdown, plain text, RST, HTML, JSON/JSONL, CSV/TSV, +configuration/XML text, source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB into the normal +v2 memory path. Installed local resource adapters add PDF text, image OCR, and explicitly +local-model audio/video transcription. +Start with a zero-write +preview, then confirm the same source collection explicitly: + +```bash +engraphis import documents /path/to/collection --workspace acme --dry-run +engraphis import documents /path/to/collection --workspace acme --repo product --yes +``` + +The CLI never downloads an embedding model during import. Use a model that is already cached, +set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path`, or explicitly set +`ENGRAPHIS_EMBED_MODEL` to an empty value to use dependency-free deterministic hashing in +lexical degraded mode. + +The dashboard’s **Import local documents** flow offers the same preview, target scope, source +label, conflict policy, cancellation, and resumable progress. Re-imports are idempotent, +preserve temporal history, and report source removals without hard-deleting memories. Obsidian +remains the rich Markdown adapter for frontmatter, aliases, wikilinks, and attachment references: + +```bash +engraphis import obsidian /path/to/vault --workspace acme --dry-run +``` + +See the [document import guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCUMENT_IMPORT.md) +for supported formats, source safety, resume and conflict behavior, optional adapters, and +limitations; see the [Obsidian adapter guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/OBSIDIAN_IMPORT.md) +for Markdown-specific behavior. + +--- + +## Consolidation and automation + +Manual consolidation is free, local, and dry-run by default; use the dashboard, SDK, CLI, or +MCP. Hosted Pro and Team automation is optional managed compute that produces reviewable +proposals rather than silently changing local data. See [hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), +[licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) for scope and use. + +--- + +## Configuration + +Values come from the process environment. Engraphis also loads the owner-private +`~/.engraphis/config.env`; `ENGRAPHIS_ENV_FILE` can select another absolute owner-private regular +file. It never searches the working directory for `.env`, and explicit process variables win. + +| Env Var | Default | Description | +|---------|---------|-------------| +| `ENGRAPHIS_ENV_FILE` | `~/.engraphis/config.env` | Optional trusted config leaf selected before trusted values load. Its bounded dependency-free parser performs no interpolation. An explicit value must be an absolute path to an owner-private regular file; arbitrary working-directory `.env` files are ignored. | +| `ENGRAPHIS_DB_PATH` | Source: `/engraphis.db`; installed: platform user-data directory | SQLite database file. Installed defaults are `%LOCALAPPDATA%\engraphis\engraphis.db` (Windows), `~/Library/Application Support/engraphis/engraphis.db` (macOS), and `$XDG_DATA_HOME/engraphis/engraphis.db` or `~/.local/share/engraphis/engraphis.db` (Linux). The environment variable overrides every default; a relative value is resolved from the trusted `~/.engraphis/config.env` directory so launch CWD cannot select a different workspace database. | +| `ENGRAPHIS_SQLITE_DURABILITY` | `durable` | Writable file databases use WAL and FULL commit synchronization. Explicit `balanced` selects NORMAL, which can lose recent acknowledged writes after OS/power failure. Effective settings appear in diagnostics; see [SQLite durability](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SQLITE_DURABILITY.md). | +| `ENGRAPHIS_HOST` | `127.0.0.1` | Server bind address | +| `ENGRAPHIS_PORT` | `8700` | Dashboard port. A platform-injected `$PORT` (Railway/Fly/Heroku) takes precedence over this value for the dashboard bind; Compose pins both to `ENGRAPHIS_COMPOSE_PORT` so the mapping stays in sync | +| `ENGRAPHIS_SERVICE_MODE` | `customer` | The public package supports only `customer`; hosted vendor, relay, compute, and worker roles are not distributed here | +| `ENGRAPHIS_API_TOKEN` | Not set | Optional bearer credential for this single-user local customer node; never reuse a hosted credential | +| `ENGRAPHIS_CORS_ORIGINS` | loopback on `ENGRAPHIS_PORT` | Comma-separated REST CORS allow-list; defaults to `127.0.0.1` and `localhost` on the configured port | +| `ENGRAPHIS_INDEX_ROOTS` | Working, home, and temporary directories | Optional path-separator-delimited absolute-path allow-list that replaces the default roots accepted by local code indexing | +| `ENGRAPHIS_HTTP_INDEX_ROOT` | First `ENGRAPHIS_INDEX_ROOTS` entry, or current directory | Single root for dashboard and REST `POST /api/code/index`; submitted paths resolve beneath it. An explicit root (or fallback entry) must be absolute; an explicit HTTP root is included in the engine-approved set. MCP and CLI indexing continue to use `ENGRAPHIS_INDEX_ROOTS`. | +| `ENGRAPHIS_DB_KEY` | Not set | Encrypt the database at rest (SQLCipher). Or use `ENGRAPHIS_DB_KEY_FILE` | +| `ENGRAPHIS_EMBED_MODEL` | `sentence-transformers/all-MiniLM-L6-v2` | sentence-transformers model | | `ENGRAPHIS_MCP_PRELOAD_EMBEDDER` | `auto` | Standalone MCP launchers import optional semantic dependencies on the launcher thread on Windows before serving requests. Set `0` to disable or `1` to enable on any platform; model loading and backend fallback policy remain unchanged. | -| `ENGRAPHIS_EMBED_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the embedding model. Loaded Hub commits or local artifact manifests identify persistent vector spaces; unresolved mutable identities keep vector recall fail-closed. | -| `ENGRAPHIS_RERANK_MODEL` | Not set | Optional sentence-transformers cross-encoder reranker | -| `ENGRAPHIS_RERANK_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the reranker | -| `ENGRAPHIS_REQUIRE_IMMUTABLE_MODELS` | `false` | When enabled, require a 40-hex commit before loading remote embedding models, rerankers, or chunk tokenizers; `local:` selectors and filesystem paths remain permitted | -| `ENGRAPHIS_REQUIRE_EXACT_BACKENDS` | `false` | When enabled, dashboard and standalone MCP startup fails if a configured optional backend is unavailable instead of silently falling back | -| `ENGRAPHIS_EXTRACTOR` | `none` | `none` = verbatim; `chunk` = offline structure-aware chunks; `llm` = free-form LLM facts; `llm_structured` = schema-validated facts + graph metadata | -| `ENGRAPHIS_CHUNK_TOKENIZER_MODEL` | Not set | Optional Hugging Face tokenizer used to enforce chunk budgets with the downstream reader's real tokenization; requires the optional `transformers` package | -| `ENGRAPHIS_CHUNK_TOKENIZER_REVISION` | Not set | Optional immutable tokenizer/model revision recorded in the chunk-counter identity; pin this for reproducible benchmark artifacts | -| `ENGRAPHIS_GRAPH_EXTRACTOR` | `regex` | `regex` = offline heuristic NER; `none` = disable heuristic text extraction (validated `llm_structured` metadata still feeds the graph) | -| `ENGRAPHIS_RETENTION_SUPERVISOR` | `none` | `none` = deterministic only; `llm` = sends a bounded excerpt to the configured provider for advisory ephemeral/normal/critical classification | -| `ENGRAPHIS_ALLOW_AUTOMATIC_CRITICAL_RETENTION` | `false` | Opt in only when an LLM supervisor may automatically assign the long-lived `critical` class; explicit user-selected critical retention is unaffected | -| `ENGRAPHIS_WHISPER_MODEL` | Not set | Enables local faster-whisper audio/video transcription | -| `ENGRAPHIS_POSTGRES_DSN` | Not set | CLI-only PostgreSQL source; used for the connection and never stored | -| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1--120) | -| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1--300000) | -| `ENGRAPHIS_GRAPH_TOKEN` | Not set | Bearer token for `engraphis-graph-server`; required off-loopback | -| `ENGRAPHIS_GRAPH_HOST` / `ENGRAPHIS_GRAPH_PORT` | `127.0.0.1` / `8720` | Read-only graph/recall server bind address | -| `ENGRAPHIS_LLM_PROVIDER` | `openai` | `openai \| anthropic \| google \| openrouter \| custom` | -| `ENGRAPHIS_LLM_MODEL` | `gpt-4o-mini` | Model name (provider-specific) | -| `ENGRAPHIS_LLM_API_KEY` | Not set | API key for chat/synthesis, `llm` / `llm_structured` extraction, and structured consolidation | -| `ENGRAPHIS_LLM_BASE_URL` | Not set | Base URL for openrouter / custom OpenAI-compatible endpoints | -| `ENGRAPHIS_LLM_AUTO_EXTRACT` | `0` | Opt in to switching the running engine to `llm_structured` after a successful live connection test; the dashboard's extraction Off button persists `0`, and its On button restores `1` | -| `ENGRAPHIS_FORWARDED_ALLOW_IPS` | *(none)* | Proxies trusted for forwarded client/TLS headers (`*` only when the service is reachable exclusively through that proxy) | -| `ENGRAPHIS_LOCAL_TRUSTED_PEERS` | *(none)* | Exact peers/CIDRs treated as local without forwarding headers; use only for trusted Docker/LAN peers, never public deployments | -| `ENGRAPHIS_UPDATE_CACHE` | `86400` | Update-check cache TTL in seconds, bounded to `1..31622400`; this is never a cache-file path | -| `ENGRAPHIS_UPDATE_CHECK` | Off | Opt-in release reminder surfaced in the dashboard, server startup log, and MCP. Update checks run only when this is set to an affirmative value; `0` keeps them off. | -| `ENGRAPHIS_UPDATE_URL` | Not set | Overrides the release-check source URL; the outbound client accepts HTTPS and rejects private/reserved destinations. | -| `ENGRAPHIS_CLOUD_CONTROL_URL` | hosted default | Official entitlement, organization, and credential control API. A saved rotating credential stays bound to the control endpoint recorded for its family; reconnect to change it. | -| `ENGRAPHIS_CLOUD_COMPUTE_URL` | hosted default | Official Analytics and managed-automation API. A saved rotating credential stays bound to its recorded compute endpoint; reconnect to change it. | -| `ENGRAPHIS_CLOUD_ORGANIZATION_ID` | Not set | Hosted organization bound to this customer session | -| `ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL` | Not set | Bootstrap-only rotating hosted credential; after first use the owner-only cloud session replacement takes precedence | -| `ENGRAPHIS_CLOUD_TOKEN_SUBJECT` | `member` | Subject fixed during hosted bootstrap (`device` or `member`); set explicitly with an environment-only refresh credential | -| `ENGRAPHIS_CLOUD_ACCESS_TOKEN` | Not set | Optional short-lived access token for ephemeral jobs | -| `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` | *(unset)* | Deny-only operator override: `0` pauses readable managed processing. A truthy value cannot grant approval. Each workspace requires explicit confirmation in Manage → Settings; encrypted sync is separate | - -The optional cross-encoder reranker is model- and hardware-dependent. Treat its quality and -latency as deployment-specific until a versioned model identity, exact configuration, and -reproducible evaluation artifact are available for the comparison being reported. - -See `.env.example` for the full variable inventory. Supply those values through the process -environment or the trusted config file above; copying it to an arbitrary `./.env` does not make -Engraphis load it. - -> **Ablation fixture:** `python -m eval.ablation` is an offline deterministic check that prints -> `recall@5` comparisons for vector-only and hybrid retrieval, multi-hop graph arms, and -> retrieval policies, plus ordinary-recall age and semantic-confidence checks. It does not -> produce MRR, hit@5, or ms/query results. Use `python -m eval.reinforcement` for retention -> trajectories, and register evidence before quoting any benchmark results. - ---- - -## Project structure - -``` -engraphis/ -├── engraphis/ -│ ├── core/ # v2 engine: interfaces, store, recall, scoring, schema, sync -│ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption -│ ├── factory.py # outer v2 composition root; selects and injects concrete backends -│ ├── service.py # validated MemoryService facade +| `ENGRAPHIS_EMBED_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the embedding model. Loaded Hub commits or local artifact manifests identify persistent vector spaces; unresolved mutable identities keep vector recall fail-closed. | +| `ENGRAPHIS_RERANK_MODEL` | Not set | Optional sentence-transformers cross-encoder reranker | +| `ENGRAPHIS_RERANK_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the reranker | +| `ENGRAPHIS_REQUIRE_IMMUTABLE_MODELS` | `false` | When enabled, require a 40-hex commit before loading remote embedding models, rerankers, or chunk tokenizers; `local:` selectors and filesystem paths remain permitted | +| `ENGRAPHIS_REQUIRE_EXACT_BACKENDS` | `false` | When enabled, dashboard and standalone MCP startup fails if a configured optional backend is unavailable instead of silently falling back | +| `ENGRAPHIS_EXTRACTOR` | `none` | `none` = verbatim; `chunk` = offline structure-aware chunks; `llm` = free-form LLM facts; `llm_structured` = schema-validated facts + graph metadata | +| `ENGRAPHIS_CHUNK_TOKENIZER_MODEL` | Not set | Optional Hugging Face tokenizer used to enforce chunk budgets with the downstream reader's real tokenization; requires the optional `transformers` package | +| `ENGRAPHIS_CHUNK_TOKENIZER_REVISION` | Not set | Optional immutable tokenizer/model revision recorded in the chunk-counter identity; pin this for reproducible benchmark artifacts | +| `ENGRAPHIS_GRAPH_EXTRACTOR` | `regex` | `regex` = offline heuristic NER; `none` = disable heuristic text extraction (validated `llm_structured` metadata still feeds the graph) | +| `ENGRAPHIS_RETENTION_SUPERVISOR` | `none` | `none` = deterministic only; `llm` = sends a bounded excerpt to the configured provider for advisory ephemeral/normal/critical classification | +| `ENGRAPHIS_ALLOW_AUTOMATIC_CRITICAL_RETENTION` | `false` | Opt in only when an LLM supervisor may automatically assign the long-lived `critical` class; explicit user-selected critical retention is unaffected | +| `ENGRAPHIS_WHISPER_MODEL` | Not set | Enables local faster-whisper audio/video transcription | +| `ENGRAPHIS_POSTGRES_DSN` | Not set | CLI-only PostgreSQL source; used for the connection and never stored | +| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1--120) | +| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1--300000) | +| `ENGRAPHIS_GRAPH_TOKEN` | Not set | Bearer token for `engraphis-graph-server`; required off-loopback | +| `ENGRAPHIS_GRAPH_HOST` / `ENGRAPHIS_GRAPH_PORT` | `127.0.0.1` / `8720` | Read-only graph/recall server bind address | +| `ENGRAPHIS_LLM_PROVIDER` | `openai` | `openai \| anthropic \| google \| openrouter \| custom` | +| `ENGRAPHIS_LLM_MODEL` | `gpt-4o-mini` | Model name (provider-specific) | +| `ENGRAPHIS_LLM_API_KEY` | Not set | API key for chat/synthesis, `llm` / `llm_structured` extraction, and structured consolidation | +| `ENGRAPHIS_LLM_BASE_URL` | Not set | Base URL for openrouter / custom OpenAI-compatible endpoints | +| `ENGRAPHIS_LLM_AUTO_EXTRACT` | `0` | Opt in to switching the running engine to `llm_structured` after a successful live connection test; the dashboard's extraction Off button persists `0`, and its On button restores `1` | +| `ENGRAPHIS_FORWARDED_ALLOW_IPS` | *(none)* | Proxies trusted for forwarded client/TLS headers (`*` only when the service is reachable exclusively through that proxy) | +| `ENGRAPHIS_LOCAL_TRUSTED_PEERS` | *(none)* | Exact peers/CIDRs treated as local without forwarding headers; use only for trusted Docker/LAN peers, never public deployments | +| `ENGRAPHIS_UPDATE_CACHE` | `86400` | Update-check cache TTL in seconds, bounded to `1..31622400`; this is never a cache-file path | +| `ENGRAPHIS_UPDATE_CHECK` | Off | Opt-in release reminder surfaced in the dashboard, server startup log, and MCP. Update checks run only when this is set to an affirmative value; `0` keeps them off. | +| `ENGRAPHIS_UPDATE_URL` | Not set | Overrides the release-check source URL; the outbound client accepts HTTPS and rejects private/reserved destinations. | +| `ENGRAPHIS_CLOUD_CONTROL_URL` | hosted default | Official entitlement, organization, and credential control API. A saved rotating credential stays bound to the control endpoint recorded for its family; reconnect to change it. | +| `ENGRAPHIS_CLOUD_COMPUTE_URL` | hosted default | Official Analytics and managed-automation API. A saved rotating credential stays bound to its recorded compute endpoint; reconnect to change it. | +| `ENGRAPHIS_CLOUD_ORGANIZATION_ID` | Not set | Hosted organization bound to this customer session | +| `ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL` | Not set | Bootstrap-only rotating hosted credential; after first use the owner-only cloud session replacement takes precedence | +| `ENGRAPHIS_CLOUD_TOKEN_SUBJECT` | `member` | Subject fixed during hosted bootstrap (`device` or `member`); set explicitly with an environment-only refresh credential | +| `ENGRAPHIS_CLOUD_ACCESS_TOKEN` | Not set | Optional short-lived access token for ephemeral jobs | +| `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` | *(unset)* | Deny-only operator override: `0` pauses readable managed processing. A truthy value cannot grant approval. Each workspace requires explicit confirmation in Manage → Settings; encrypted sync is separate | + +The optional cross-encoder reranker is model- and hardware-dependent. Treat its quality and +latency as deployment-specific until a versioned model identity, exact configuration, and +reproducible evaluation artifact are available for the comparison being reported. + +See `.env.example` for the full variable inventory. Supply those values through the process +environment or the trusted config file above; copying it to an arbitrary `./.env` does not make +Engraphis load it. + +> **Ablation fixture:** `python -m eval.ablation` is an offline deterministic check that prints +> `recall@5` comparisons for vector-only and hybrid retrieval, multi-hop graph arms, and +> retrieval policies, plus ordinary-recall age and semantic-confidence checks. It does not +> produce MRR, hit@5, or ms/query results. Use `python -m eval.reinforcement` for retention +> trajectories, and register evidence before quoting any benchmark results. + +--- + +## Project structure + +``` +engraphis/ +├── engraphis/ +│ ├── core/ # v2 engine: interfaces, store, recall, scoring, schema, sync +│ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption +│ ├── factory.py # outer v2 composition root; selects and injects concrete backends +│ ├── service.py # validated MemoryService facade │ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server -│ ├── dashboard_app.py # dashboard WebUI (FastAPI) -│ ├── dashboard_assets/ # primary Ledger interface + graph engine -│ ├── classic_assets/ # selectable full operator dashboard backup -│ ├── read_only_api.py # token-protected recall/repository-graph HTTP surface -│ ├── hosted_client.py # hosted URLs, plan labels, and endpoint validation only -│ ├── licensing.py # compatibility facade for hosted presentation metadata -│ ├── cloud_session.py # rotating hosted customer-session client -│ ├── cloud_features.py # consented managed-feature protocol client -│ ├── config.py / app.py # env settings / REST server -│ └── static/ # compatibility dashboard asset paths -├── eval/ # offline retrieval eval harness + datasets -├── tests/ # offline-first pytest suite and release/security contracts -├── scripts/ # dashboard, server, graph, CLI, connect, update, consolidation, sync -├── docs/ # product, API, hosting, sync, and provider guides -├── Dockerfile / docker-compose.yml -└── pyproject.toml -``` - -New capability belongs in the v2 path (`engraphis/core/`, `engraphis/backends/`, and -`MemoryService`) behind the interfaces in `core/interfaces.py`. Algorithm modules in `core/` -remain backend-agnostic; `engraphis/factory.py` is the outer composition root used by -`engraphis.create_memory_engine()` and the compatibility `MemoryEngine.create()` entry point, then -injects the selected collaborators into `core/engine.py`. The flat-namespace v1 server under -`engraphis/app.py`, `routes/`, `stores/`, and `engines/` remains a -compatibility/reference surface; `engraphis-dashboard`, the MCP server, and the Python quickstart -above use v2. - ---- - -## License - -Apache-2.0. See [LICENSE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) and [NOTICE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/NOTICE). "Engraphis" is a trademark of the -Engraphis project; the license does not grant trademark rights. Code already distributed -under Apache-2.0 keeps that grant; later releases cannot retroactively withdraw it. The -official hosted control plane, its production credentials and records, managed operations, -support, and future separately delivered commercial modules are outside the public source -grant. See [`docs/LICENSING.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md) for the complete boundary. - -### Reliability implementation candidate - -The current source uses schema 18 for durable, content-free vector-index repair and -atomic memory-command receipts. Upgrades use the existing verified-backup migration path. -The [rework execution register](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/REWORK_EXECUTION.md) records the current findings, -compatibility decisions, acceptance evidence, remaining work and recovery procedure. -See [the reliability program](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RELIABILITY_PROGRAM.md) for exact implementation, -validation, migration and release boundaries. Managed processing now requires explicit -workspace approval in Settings. Existing installations start with readable -uploads paused until confirmed; connecting an account does not grant approval. - -For setup diagnostics use `engraphis-init --check --json`. New configurations get an -owner-private local API token. Existing configs are preserved. Record selected install -capabilities with `engraphis-init --extras server,mcp` or `--extras none`; future updates -preserve that choice. `ENGRAPHIS_UPDATE_EXTRAS` remains an explicit override. +│ ├── dashboard_app.py # dashboard WebUI (FastAPI) +│ ├── dashboard_assets/ # primary Ledger interface + graph engine +│ ├── classic_assets/ # selectable full operator dashboard backup +│ ├── read_only_api.py # token-protected recall/repository-graph HTTP surface +│ ├── hosted_client.py # hosted URLs, plan labels, and endpoint validation only +│ ├── licensing.py # compatibility facade for hosted presentation metadata +│ ├── cloud_session.py # rotating hosted customer-session client +│ ├── cloud_features.py # consented managed-feature protocol client +│ ├── config.py / app.py # env settings / REST server +│ └── static/ # compatibility dashboard asset paths +├── eval/ # offline retrieval eval harness + datasets +├── tests/ # offline-first pytest suite and release/security contracts +├── scripts/ # dashboard, server, graph, CLI, connect, update, consolidation, sync +├── docs/ # product, API, hosting, sync, and provider guides +├── Dockerfile / docker-compose.yml +└── pyproject.toml +``` + +New capability belongs in the v2 path (`engraphis/core/`, `engraphis/backends/`, and +`MemoryService`) behind the interfaces in `core/interfaces.py`. Algorithm modules in `core/` +remain backend-agnostic; `engraphis/factory.py` is the outer composition root used by +`engraphis.create_memory_engine()` and the compatibility `MemoryEngine.create()` entry point, then +injects the selected collaborators into `core/engine.py`. The flat-namespace v1 server under +`engraphis/app.py`, `routes/`, `stores/`, and `engines/` remains a +compatibility/reference surface; `engraphis-dashboard`, the MCP server, and the Python quickstart +above use v2. + +--- + +## License + +Apache-2.0. See [LICENSE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) and [NOTICE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/NOTICE). "Engraphis" is a trademark of the +Engraphis project; the license does not grant trademark rights. Code already distributed +under Apache-2.0 keeps that grant; later releases cannot retroactively withdraw it. The +official hosted control plane, its production credentials and records, managed operations, +support, and future separately delivered commercial modules are outside the public source +grant. See [`docs/LICENSING.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md) for the complete boundary. + +### Reliability implementation candidate + +The current source uses schema 18 for durable, content-free vector-index repair and +atomic memory-command receipts. Upgrades use the existing verified-backup migration path. +The [rework execution register](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/REWORK_EXECUTION.md) records the current findings, +compatibility decisions, acceptance evidence, remaining work and recovery procedure. +See [the reliability program](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RELIABILITY_PROGRAM.md) for exact implementation, +validation, migration and release boundaries. Managed processing now requires explicit +workspace approval in Settings. Existing installations start with readable +uploads paused until confirmed; connecting an account does not grant approval. + +For setup diagnostics use `engraphis-init --check --json`. New configurations get an +owner-private local API token. Existing configs are preserved. Record selected install +capabilities with `engraphis-init --extras server,mcp` or `--extras none`; future updates +preserve that choice. `ENGRAPHIS_UPDATE_EXTRAS` remains an explicit override. diff --git a/docs/benchmark-evidence/offline-fixtures-v102.json b/docs/benchmark-evidence/offline-fixtures-v102.json new file mode 100644 index 00000000..9e22bb44 --- /dev/null +++ b/docs/benchmark-evidence/offline-fixtures-v102.json @@ -0,0 +1,692 @@ +{ + "environment": { + "embedding": "deterministic", + "numpy": "2.4.6", + "platform": "win32", + "python": "3.11.15", + "vector_backend": "numpy" + }, + "generated_on": "2026-09-29", + "privacy": { + "contains_answers": false, + "contains_customer_data": false, + "contains_per_record_fingerprints": false, + "contains_prompts": false, + "contains_raw_questions": false + }, + "runs": [ + { + "boundary": "Deterministic offline retrieval fixture; normalized-character token estimator; not external QA or provider billing.", + "command": "python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5", + "config_digest": "c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-chunking", + "result": { + "chunked": { + "max_stored_tokens": 59, + "mean_context_tokens": 214.3, + "mean_evidence_tokens": 42.4, + "memories": 24, + "recall_at_k": 1.0 + }, + "context_reduction_pct": 71.1, + "documents": 6, + "k": 5, + "questions": 18, + "token_counter": "engraphis.chars4.v1", + "whole": { + "max_stored_tokens": 213, + "mean_context_tokens": 740.3, + "mean_evidence_tokens": 162.2, + "memories": 6, + "recall_at_k": 1.0 + } + } + }, + { + "boundary": "Deterministic offline CodeMem fixture; serialized JSON-shape payload proxies, not MCP transport responses, provider billing, or latency claims.", + "command": "python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json", + "config_digest": "bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-performance", + "result": { + "answer_token_recall": 1.0, + "compact_serialized_payload_tokens": 11138, + "dataset_cases": 14, + "full_serialized_payload_tokens": 24590, + "hit_at_k": 1.0, + "k": 5, + "max_context_tokens": 108, + "mean_context_tokens": 85.38, + "memories": 44, + "packed_quality": { + "answer_token_recall": 1.0, + "hit_at_k": 1.0, + "recall_at_k": 1.0, + "sample_count": 26 + }, + "payload_boundary": { + "kind": "serialized_json_shape_proxy", + "mcp_envelope_serialized": false, + "token_counter": "engraphis.regex.v1", + "transport_measured": false + }, + "quality_scope": { + "packed": "packed_quality fields score only chunks admitted to reader context", + "retrieved": "legacy quality fields score all candidate chunks returned before context packing" + }, + "questions": 26, + "recall_at_k": 1.0, + "saved_serialized_payload_tokens": 13452, + "serialized_payload_savings_ratio": 0.5471, + "timed_recalls": 260, + "token_budget": 1500, + "token_counter": "engraphis.regex.v1" + } + }, + { + "boundary": "Deterministic offline support/abstention fixture; not a frontier-model answer-quality score.", + "command": "python -m eval.grounded", + "config_digest": "590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f", + "config_digest_method": "sha256(UTF-8 exact command)", + "id": "offline-grounded", + "result": { + "abstained": 6, + "answerable": 5, + "decision_accuracy": 1.0, + "grounded": 5, + "off_topic": 6, + "quarantine_hits": 1, + "quarantined": 1 + } + } + ], + "schema": "engraphis-public-offline-fixtures/v1", + "suite": { + "digest": "f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3", + "digest_method": "sha256(canonical compact JSON mapping each sorted path to its file SHA-256)", + "files": { + "engraphis/__init__.py": "7d7e5e18c96a9a4f5c0eef6d123e7506736231819d11276b21e598f045fa40dd", + 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b/docs/images/context-efficiency.svg index 719b7577..349fac6f 100644 --- a/docs/images/context-efficiency.svg +++ b/docs/images/context-efficiency.svg @@ -1,6 +1,6 @@ Measured context and retrieval boundaries -Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566. +Artifact-driven local deterministic benchmark report. Structure-aware chunks report 740.3 to 214.3 retrieved tokens per question. The performance run reports 24,590 full-proxy versus 11,138 compact-proxy tokens. Retrieved-candidate quality and packed-context quality are separate views; packed quality is shown only when the selected report includes it. Payload counts are a serialized JSON-shape proxy; the payload is not an MCP transport measurement. The report does not measure provider billing. Packed context reports 85.38 mean and 108 max under a 1,500-token cap. Source artifact SHA-256 aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1. @@ -105,7 +105,7 @@ mcp transport not measured SOURCE ARTIFACT -3526c3db4768 +aaaed796f808 SHA-256 prefix Artifact-driven local measurements diff --git a/docs/images/evidence-backed-agent-examples.svg b/docs/images/evidence-backed-agent-examples.svg index 7d87d66e..8bc1b145 100644 --- a/docs/images/evidence-backed-agent-examples.svg +++ b/docs/images/evidence-backed-agent-examples.svg @@ -1,6 +1,6 @@ Three evidence-backed Engraphis agent behaviors - A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566. + A three-card summary of deterministic offline fixtures. Focused context returns 740.3 to 214.3 tokens while retaining Recall at 5 of 1.000. A grounded answer returns support for 5/5 answerable questions. An unsupported question safely abstains for 6/6 off-topic questions. Reproduce with eval.chunking_eval and eval.grounded. Exact commands and config digests are registered in BENCHMARKS.md. Public-safe artifact SHA-256: aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1. @@ -47,5 +47,5 @@ Reproduce: eval.chunking_eval + eval.grounded - SHA256 3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566 + SHA256 aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1 diff --git a/engraphis/core/interfaces.py b/engraphis/core/interfaces.py index 8bf1630e..39b4ec90 100644 --- a/engraphis/core/interfaces.py +++ b/engraphis/core/interfaces.py @@ -464,8 +464,111 @@ class SchemaSnapshot: metadata: dict[str, Any] = field(default_factory=dict) +@dataclass +class RelocationDependencies: + """Bounded canonical evidence used to discover a move's complete component.""" + memories: list[dict] = field(default_factory=list) + links: list[dict] = field(default_factory=list) + edges: list[dict] = field(default_factory=list) + supports: list[dict] = field(default_factory=list) + command_links: list[dict] = field(default_factory=list) + + +@dataclass +class RelocationHistory: + """Selected memories' durable commands, attachments, and graph incidences.""" + commands: list[dict] = field(default_factory=list) + command_sources: dict[tuple[str, str], list[dict]] = field(default_factory=dict) + attachments: dict[str, list[dict]] = field(default_factory=dict) + incidences: list[dict] = field(default_factory=list) + + +@dataclass +class RelocationSessionHistory: + session: Optional[dict] = None + jobs: list[dict] = field(default_factory=list) + source_vaults: list[dict] = field(default_factory=list) + events: list[dict] = field(default_factory=list) + + +@dataclass +class MovePlan: + """Detached reviewed component shared by relocation policy and persistence.""" + source_id: str + target_id: str + requested_ids: list[str] + records: list[MemoryRecord] = field(default_factory=list) + blockers: list[dict] = field(default_factory=list) + repos: list[dict] = field(default_factory=list) + sessions: list[dict] = field(default_factory=list) + events: list[dict] = field(default_factory=list) + commands: list[dict] = field(default_factory=list) + command_sources: list[dict] = field(default_factory=list) + entities: list[dict] = field(default_factory=list) + edges: list[dict] = field(default_factory=list) + incidences: list[dict] = field(default_factory=list) + preview_token: str = "" + + def block(self, code: str, message: str) -> None: + if not any(item["code"] == code for item in self.blockers): + self.blockers.append({"code": code, "message": message}) + + def public(self, source: str, target: str) -> dict: + return { + "source": source, "target": target, + "requested_ids": self.requested_ids, + "memory_ids": [record.id for record in self.records], + "count": len(self.records), + "related_count": len(self.records) - len(self.requested_ids), + "memories": [{"id": record.id, "title": record.title or record.content[:88], + "related": record.id not in self.requested_ids} + for record in self.records], + "sessions": len(self.sessions), "graph_edges": len(self.edges), + "repos": [row["name"] for row in self.repos], + "blockers": self.blockers, "can_move": not self.blockers, + "preview_token": self.preview_token if not self.blockers else "", + } + + # ── Protocols ──────────────────────────────────────────────────────────────── +@runtime_checkable +class RelocationStore(Protocol): + """Domain operations for lossless relocation, with no database connection API. + + Reads return detached canonical values in deterministic order, including closed + history. Each collection must refuse rather than truncate above ``limit``. + The caller owns a consistent snapshot for planning and a writer transaction + for revalidation/application. ``apply_memory_move`` must not commit either. + Authorization and preview-token validation remain the caller's responsibility. + """ + def get_memory(self, memory_id: str) -> Optional[MemoryRecord]: ... + def relocation_dependencies(self, workspace_id: str, *, limit: int + ) -> RelocationDependencies: ... + def relocation_history(self, memory_ids: list[str], *, limit: int + ) -> RelocationHistory: ... + def relocation_session_history(self, session_id: str, *, limit: int + ) -> RelocationSessionHistory: ... + def relocation_workspace_events(self, workspace_id: str, *, limit: int) -> list[dict]: ... + def relocation_entity(self, entity_id: str) -> Optional[dict]: ... + def relocation_repo(self, repo_id: str) -> Optional[dict]: ... + def relocation_repo_named(self, workspace_id: str, name: str) -> Optional[dict]: ... + def relocation_entity_named(self, workspace_id: str, repo_id: Optional[str], + name: str, etype: Optional[str]) -> Optional[dict]: ... + def relocation_canonical_entity(self, workspace_id: str, repo_id: Optional[str], + normalized_name: str, etype: Optional[str] + ) -> Optional[dict]: ... + def relocation_edge_conflict(self, workspace_id: str, repo_id: Optional[str], + src: str, dst: str, relation: str, layer: Optional[str] + ) -> Optional[dict]: ... + def relocation_claim_conflict(self, workspace_id: str, repo_id: Optional[str], + record: MemoryRecord) -> Optional[dict]: ... + def relocation_operation_exists(self, workspace_id: str, operation_id: str) -> bool: ... + def relocation_ownership(self, source_id: str, target_id: str, *, limit: int + ) -> list[dict]: ... + def apply_memory_move(self, plan: MovePlan, *, actor: str) -> None: ... + + @runtime_checkable class Embedder(Protocol): """Turns text or code into dense vectors. Default local; API optional.""" diff --git a/engraphis/core/relocation.py b/engraphis/core/relocation.py index 719ab25c..be9842de 100644 --- a/engraphis/core/relocation.py +++ b/engraphis/core/relocation.py @@ -1,20 +1,17 @@ """Previewed, lossless relocation of bounded local memory components. -The service supplies authorization and an owned transaction. This module only uses -the canonical store: vectors, text, temporal versions and historical receipts stay -intact. Dependencies that need a separate migration protocol fail closed. +The service supplies authorization and an owned transaction. This planner uses +domain operations from interfaces.py; persistence owns SQL and preserves vectors, +text, temporal versions and receipts. Dependencies requiring migration fail closed. """ from __future__ import annotations import hashlib import json import re -import time -from dataclasses import dataclass, field -from typing import Any, Optional, Protocol +from typing import Any -from . import ids -from .interfaces import MemoryRecord +from .interfaces import MovePlan, RelocationStore from .mutations import memory_version MAX_MOVE_MEMORIES = 500 @@ -22,14 +19,6 @@ _MEMORY_ID = re.compile(r"^mem_[A-Za-z0-9_-]+$") -class RelocationStore(Protocol): - conn: Any - - def get_memory(self, memory_id: str) -> Optional[MemoryRecord]: ... - def advance_memory_modified_hlc(self, memory_id: str, *, commit: bool = True) -> str: ... - def audit(self, actor: str, action: str, target: str, detail: str = "") -> Any: ... - - def _json(raw: Any) -> Any: try: return json.loads(raw or "{}") @@ -77,58 +66,12 @@ def _endpoints(edge: dict, mapping: dict) -> tuple[str, str]: return source, target -def _rows(conn: Any, sql: str, args: tuple = ()) -> list[dict]: - rows = [dict(row) for row in conn.execute(sql, args).fetchmany(MAX_MOVE_SCAN + 1)] - if len(rows) > MAX_MOVE_SCAN: - raise ValueError("This move exceeds the review limit; organize a smaller workspace first.") - return rows - - -@dataclass -class MovePlan: - source_id: str - target_id: str - requested_ids: list[str] - records: list[MemoryRecord] = field(default_factory=list) - blockers: list[dict] = field(default_factory=list) - repos: list[dict] = field(default_factory=list) - sessions: list[dict] = field(default_factory=list) - events: list[dict] = field(default_factory=list) - commands: list[dict] = field(default_factory=list) - command_sources: list[dict] = field(default_factory=list) - entities: list[dict] = field(default_factory=list) - edges: list[dict] = field(default_factory=list) - incidences: list[dict] = field(default_factory=list) - preview_token: str = "" - - def block(self, code: str, message: str) -> None: - if not any(item["code"] == code for item in self.blockers): - self.blockers.append({"code": code, "message": message}) - - def public(self, source: str, target: str) -> dict: - return { - "source": source, "target": target, - "requested_ids": self.requested_ids, - "memory_ids": [record.id for record in self.records], - "count": len(self.records), - "related_count": len(self.records) - len(self.requested_ids), - "memories": [{"id": record.id, "title": record.title or record.content[:88], - "related": record.id not in self.requested_ids} - for record in self.records], - "sessions": len(self.sessions), "graph_edges": len(self.edges), - "repos": [row["name"] for row in self.repos], - "blockers": self.blockers, "can_move": not self.blockers, - "preview_token": self.preview_token if not self.blockers else "", - } - - def prepare_move(store: RelocationStore, source_id: str, target_id: str, requested_ids: list[str]) -> MovePlan: """Read a complete dependency component; the caller authorizes every member.""" - c = store.conn plan = MovePlan(source_id, target_id, requested_ids) - headers = _rows(c, "SELECT id, repo_id, session_id, metadata, provenance FROM memories " - "WHERE workspace_id=? ORDER BY id", (source_id,)) + dependencies = store.relocation_dependencies(source_id, limit=MAX_MOVE_SCAN) + headers = dependencies.memories by_id = {row["id"]: row for row in headers} if any(mid not in by_id for mid in requested_ids): raise ValueError("Every selected memory must belong to the source workspace.") @@ -150,17 +93,11 @@ def connect(members: set[str]) -> None: session_members.setdefault(row["session_id"], set()).add(row["id"]) for members in session_members.values(): connect(members) - links = _rows(c, "SELECT l.* FROM mem_links l WHERE l.a IN " - "(SELECT id FROM memories WHERE workspace_id=?) OR l.b IN " - "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY l.rowid", - (source_id, source_id)) + links = dependencies.links for link in links: connect({link["a"], link["b"]}) - edges = _rows(c, "SELECT * FROM edges WHERE workspace_id=? ORDER BY id", (source_id,)) - supports = _rows(c, "SELECT s.* FROM edge_supports s WHERE s.edge_id IN " - "(SELECT id FROM edges WHERE workspace_id=?) OR s.memory_id IN " - "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY s.id", - (source_id, source_id)) + edges = dependencies.edges + supports = dependencies.supports edge_members: dict[str, set[str]] = {} for support in supports: edge_members.setdefault(support["edge_id"], set()).add(support["memory_id"]) @@ -168,10 +105,7 @@ def connect(members: set[str]) -> None: edge_members.setdefault(edge["id"], set()).update(_references(_json(edge["provenance"]))) for members in edge_members.values(): connect(members) - commands = _rows(c, "SELECT cmd.result_id, src.source_id FROM memory_commands cmd " - "JOIN memory_command_sources src ON src.workspace_id=cmd.workspace_id " - "AND src.operation_id=cmd.operation_id WHERE cmd.workspace_id=? " - "ORDER BY cmd.sequence, src.source_id", (source_id,)) + commands = dependencies.command_links for command in commands: connect({command["result_id"], command["source_id"]}) @@ -200,24 +134,17 @@ def connect(members: set[str]) -> None: if any(key in record.metadata for key in ("document", "obsidian")): plan.block("imported_document", "Imported documents must stay with their source " "collection. Re-import the collection into the intended workspace.") - marks = ",".join("?" for _ in selected) - mids = tuple(sorted(selected)) - attachments: dict[str, list[dict]] = {} - plan.commands = _rows(c, f"SELECT * FROM memory_commands WHERE result_id IN ({marks}) " - f"OR (workspace_id,operation_id) IN (SELECT workspace_id,operation_id " - f"FROM memory_command_sources WHERE source_id IN ({marks})) " - "ORDER BY sequence", mids + mids) + history = store.relocation_history(sorted(selected), limit=MAX_MOVE_SCAN) + attachments = history.attachments + plan.commands = history.commands for command in plan.commands: - sources = _rows(c, "SELECT * FROM memory_command_sources WHERE workspace_id=? " - "AND operation_id=? ORDER BY source_id", - (command["workspace_id"], command["operation_id"])) + sources = history.command_sources[(command["workspace_id"], command["operation_id"])] plan.command_sources.extend(sources) if (command["workspace_id"] != source_id or command["result_id"] not in selected or any(row["source_id"] not in selected for row in sources)): plan.block("external_command", "A correction or review operation has history outside " "this selection. Repair that history before moving it.") - if c.execute("SELECT 1 FROM memory_commands WHERE workspace_id=? AND operation_id=?", - (target_id, command["operation_id"])).fetchone(): + if store.relocation_operation_exists(target_id, command["operation_id"]): plan.block("target_operation_conflict", "The destination already contains a correction " "or review with the same operation ID. Choose another destination.") for table, message, code in ( @@ -230,13 +157,13 @@ def connect(members: set[str]) -> None: ("code_memory_links", "This selection is linked to indexed code. Move the whole workspace " "to retain its code graph, or choose memories without code links.", "code_links"), ): - attachments[table] = _rows(c, f"SELECT * FROM {table} WHERE memory_id IN ({marks})", mids) - if attachments[table]: + if attachments.get(table): plan.block(code, message) session_ids = sorted({record.session_id for record in plan.records if record.session_id}) for sid in session_ids: - row = c.execute("SELECT * FROM sessions WHERE id=?", (sid,)).fetchone() + session_history = store.relocation_session_history(sid, limit=MAX_MOVE_SCAN) + row = session_history.session if row is None or row["workspace_id"] != source_id: raise ValueError("A memory has an invalid session. Repair its ownership before moving.") session = dict(row) @@ -244,13 +171,13 @@ def connect(members: set[str]) -> None: if session["status"] not in ("summarized", "consolidated"): plan.block("active_session", "End active sessions before moving their memories. " "All memories and events in each closed session move together.") - jobs = _rows(c, "SELECT * FROM jobs WHERE session_id=? ORDER BY id", (sid,)) - vaults = _rows(c, "SELECT * FROM source_vaults WHERE session_id=? ORDER BY id", (sid,)) + jobs = session_history.jobs + vaults = session_history.source_vaults if jobs or vaults: plan.block("session_jobs", "A related session owns import or maintenance jobs. " "Use a whole-workspace operation to preserve that job history.") attachments["session_jobs:" + sid] = jobs + vaults - plan.events.extend(_rows(c, "SELECT * FROM events WHERE session_id=? ORDER BY id", (sid,))) + plan.events.extend(session_history.events) if any(event["workspace_id"] != source_id for event in plan.events): raise ValueError("A session event has inconsistent workspace ownership.") external = _references(_json(session.get("handoff"))) @@ -261,8 +188,8 @@ def connect(members: set[str]) -> None: "Include their related history before moving the session.") moving_event_ids = {event["id"] for event in plan.events} - incoming_events = [event for event in _rows(c, "SELECT * FROM events WHERE workspace_id=? " - "ORDER BY id", (source_id,)) + incoming_events = [event for event in + store.relocation_workspace_events(source_id, limit=MAX_MOVE_SCAN) if _references(_json(event.get("refs"))) & selected] if any(event["id"] not in moving_event_ids for event in incoming_events): plan.block("external_events", "Events outside these closed sessions reference the selected " @@ -274,8 +201,7 @@ def connect(members: set[str]) -> None: if any(s["edge_id"] not in edge_ids for s in selected_supports): plan.block("external_graph", "Related graph evidence belongs to another workspace. " "Repair that graph before moving these memories.") - plan.incidences = _rows(c, f"SELECT * FROM memory_entities WHERE memory_id IN ({marks}) " - "ORDER BY id", mids) + plan.incidences = history.incidences entity_ids = {row["entity_id"] for row in plan.incidences} for edge in plan.edges: entity_ids.update((edge["src"], edge["dst"])) @@ -288,7 +214,7 @@ def connect(members: set[str]) -> None: seen_entities.add(eid) if len(seen_entities) > MAX_MOVE_SCAN: raise ValueError("Related entity history exceeds the move review limit.") - row = c.execute("SELECT * FROM entities WHERE id=?", (eid,)).fetchone() + row = store.relocation_entity(eid) if row is None or row["workspace_id"] != source_id: plan.block("external_graph", "Related graph entities have inconsistent ownership. " "Repair the graph before moving these memories.") @@ -303,12 +229,11 @@ def connect(members: set[str]) -> None: if row.get("repo_id"): repo_ids.add(row["repo_id"]) for rid in sorted(repo_ids): - row = c.execute("SELECT * FROM repos WHERE id=?", (rid,)).fetchone() + row = store.relocation_repo(rid) if row is None or row["workspace_id"] != source_id: raise ValueError("Related data has inconsistent project ownership.") repo = dict(row) - target = c.execute("SELECT * FROM repos WHERE workspace_id=? AND name=?", - (target_id, repo["name"])).fetchone() + target = store.relocation_repo_named(target_id, repo["name"]) repo["target"] = dict(target) if target else None plan.repos.append(repo) repo_targets = {row["id"]: row["target"]["id"] if row["target"] else "new:" + row["id"] @@ -318,9 +243,7 @@ def connect(members: set[str]) -> None: # Preserve distinct source aliases. Reusing every normalized-name match # would collapse their incidence rows and can violate the live uniqueness # constraints even though the original source graph was valid. - target = c.execute("SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " - "AND name=? AND etype IS ? ORDER BY id LIMIT 1", - (target_id, rid, entity["name"], entity["etype"])).fetchone() + target = store.relocation_entity_named(target_id, rid, entity["name"], entity["etype"]) entity["target"] = dict(target) if target else None entity_targets = {row["id"]: row["target"]["id"] if row["target"] else "new:" + row["id"] for row in plan.entities} @@ -334,7 +257,7 @@ def existing_root(entity: dict) -> str: if current["id"] in seen: raise ValueError("Repair the destination's cyclic entity history before moving.") seen.add(current["id"]) - row = c.execute("SELECT * FROM entities WHERE id=?", (current["canonical_id"],)).fetchone() + row = store.relocation_entity(current["canonical_id"]) if row is None or row["workspace_id"] != target_id: raise ValueError("Repair the destination's entity ownership before moving.") current = dict(row) @@ -369,10 +292,10 @@ def planned_root(eid: str, visiting: set[str]) -> str: if not entity["target"] and entity["root"] == "new:" + entity["id"]: # A root with a differently spelled existing normalized name would # violate the target's uniqueness rule. Do not silently rewrite aliases. - collision = c.execute("SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " - "AND normalized_name=? AND etype IS ? AND canonical_id=id", - (target_id, repo_targets.get(entity["repo_id"]), - entity["normalized_name"], entity["etype"])).fetchone() + collision = store.relocation_canonical_entity( + target_id, repo_targets.get(entity["repo_id"]), + entity["normalized_name"], entity["etype"], + ) if collision and entity["normalized_name"]: target_ancestors[collision["id"]] = dict(collision) plan.block("target_graph_conflict", "The destination already groups a matching " @@ -390,12 +313,9 @@ def planned_root(eid: str, visiting: set[str]) -> str: plan.block("target_graph_conflict", "Related graph relations would collide in the " "destination. Use a whole-workspace merge to reconcile their evidence.") incoming_keys.add(key) - collision = c.execute("SELECT * FROM edges WHERE workspace_id=? AND repo_id IS ? " - "AND src=? AND dst=? AND relation=? AND layer=? " - "AND valid_to IS NULL AND expired_at IS NULL LIMIT 1", - (target_id, repo_targets.get(edge["repo_id"]), - start, end, - edge["relation"], edge["layer"])).fetchone() + collision = store.relocation_edge_conflict( + target_id, repo_targets.get(edge["repo_id"]), start, end, edge["relation"], edge["layer"], + ) if collision: target_conflicts.append(dict(collision)) plan.block("target_graph_conflict", "The destination already has matching graph " @@ -404,18 +324,12 @@ def planned_root(eid: str, visiting: set[str]) -> str: if (record.scope.value == "session" or not record.subject_key or record.valid_to is not None or record.expired_at is not None): continue - collision = c.execute("SELECT id, metadata, provenance, modified_hlc FROM memories " - "WHERE workspace_id=? AND repo_id IS ? AND scope=? AND mtype=? " - "AND subject_key=? AND claim_kind=? AND valid_to IS NULL " - "AND expired_at IS NULL LIMIT 1", - (target_id, repo_targets.get(record.repo_id), record.scope.value, - record.mtype.value, record.subject_key, record.claim_kind)).fetchone() + collision = store.relocation_claim_conflict(target_id, repo_targets.get(record.repo_id), record) if collision: target_conflicts.append(dict(collision)) plan.block("target_claim_conflict", "The destination already contains a claim with " "the same key. Review that conflict before moving these memories.") - ownership = _rows(c, "SELECT * FROM workspaces WHERE id IN (?,?) ORDER BY id", - (source_id, target_id)) + ownership = store.relocation_ownership(source_id, target_id, limit=MAX_MOVE_SCAN) plan.preview_token = "move1:" + _digest({ "ownership": ownership, "requested": requested_ids, "versions": [[record.id, memory_version(record)] for record in plan.records], @@ -435,71 +349,4 @@ def apply_move(store: RelocationStore, plan: MovePlan, *, actor: str) -> None: """Apply an authorized, revalidated plan inside the service's writer reservation.""" if plan.blockers: raise ValueError("Resolve the preview blockers before moving memories.") - c = store.conn - now = time.time() - repo_map: dict[str, str] = {} - for repo in plan.repos: - if repo["target"]: - repo_map[repo["id"]] = repo["target"]["id"] - else: - rid = ids.new_id("repo") - repo_map[repo["id"]] = rid - # Host routing and indexed-code settings are not portable with a memory subset. - c.execute("INSERT INTO repos(id,workspace_id,name,created_at,settings) VALUES(?,?,?,?,?)", - (rid, plan.target_id, repo["name"], now, "{}")) - for session in plan.sessions: - c.execute("UPDATE sessions SET workspace_id=?,repo_id=? WHERE id=?", - (plan.target_id, repo_map.get(session["repo_id"]), session["id"])) - for event in plan.events: - c.execute("UPDATE events SET workspace_id=?,repo_id=? WHERE id=?", - (plan.target_id, repo_map.get(event["repo_id"]), event["id"])) - entity_map = {entity["id"]: entity["target"]["id"] if entity["target"] else ids.new_id("entity") - for entity in plan.entities} - for entity in plan.entities: - if entity["target"]: - continue - eid = entity_map[entity["id"]] - root = entity["root"] - canonical = entity_map[root[4:]] if root.startswith("new:") else root - c.execute("INSERT INTO entities(id,workspace_id,repo_id,name,etype,canonical_id," - "normalized_name,canonical_method,canonical_confidence,created_at) " - "VALUES(?,?,?,?,?,?,?,?,?,?)", - (eid, plan.target_id, repo_map.get(entity["repo_id"]), entity["name"], - entity["etype"], canonical, - entity["normalized_name"], entity["canonical_method"], - entity["canonical_confidence"], entity["created_at"])) - for edge in plan.edges: - start, end = _endpoints(edge, entity_map) - c.execute("UPDATE edges SET workspace_id=?,repo_id=?,src=?,dst=? WHERE id=?", - (plan.target_id, repo_map.get(edge["repo_id"]), start, end, edge["id"])) - for incidence in plan.incidences: - c.execute("UPDATE memory_entities SET workspace_id=?,repo_id=?,entity_id=? WHERE id=?", - (plan.target_id, repo_map.get(incidence["repo_id"]), - entity_map[incidence["entity_id"]], incidence["id"])) - for record in plan.records: - c.execute("UPDATE memories SET workspace_id=?,repo_id=? WHERE id=?", - (plan.target_id, repo_map.get(record.repo_id or ""), record.id)) - store.advance_memory_modified_hlc(record.id, commit=False) - store.audit(actor, "workspace_move", record.id, json.dumps({ - "operation": plan.preview_token, "source_workspace": plan.source_id, - "target_workspace": plan.target_id, "source_repo": record.repo_id, - "target_repo": repo_map.get(record.repo_id or ""), - }, sort_keys=True)) - # Keep operation identities and ordering with their history. Remove only the - # child keys while updating the parent so immediate foreign keys remain valid. - for row in plan.command_sources: - c.execute("DELETE FROM memory_command_sources WHERE source_id=?", (row["source_id"],)) - for command in plan.commands: - result = store.get_memory(command["result_id"]) - if result is None: - raise ValueError("A correction result disappeared during the move.") - c.execute("UPDATE memory_commands SET workspace_id=?,result_version=? WHERE sequence=?", - (plan.target_id, memory_version(result), command["sequence"])) - for row in plan.command_sources: - c.execute("INSERT INTO memory_command_sources(source_id,workspace_id,operation_id) VALUES(?,?,?)", - (row["source_id"], plan.target_id, row["operation_id"])) - for wid in (plan.source_id, plan.target_id): - c.execute("INSERT INTO graph_index_state(workspace_id,generation,state,updated_at) " - "VALUES(?,1,'ready',?) ON CONFLICT(workspace_id) DO UPDATE SET " - "generation=graph_index_state.generation+1,updated_at=excluded.updated_at", - (wid, now)) + store.apply_memory_move(plan, actor=actor) diff --git a/engraphis/core/store.py b/engraphis/core/store.py index 706744f1..b4f95c4f 100644 --- a/engraphis/core/store.py +++ b/engraphis/core/store.py @@ -38,6 +38,10 @@ Edge, GraphLayer, MemoryRecord, + MovePlan, + RelocationDependencies, + RelocationHistory, + RelocationSessionHistory, MemoryType, Node, Scope, @@ -4484,6 +4488,234 @@ def get_session(self, session_id: str) -> Optional[dict]: d["open_threads"] = _loads(d.get("open_threads"), []) return d + def _relocation_rows(self, sql: str, args: tuple, *, limit: int) -> list[dict]: + if isinstance(limit, bool) or not isinstance(limit, int) or limit < 1: + raise ValueError("relocation limit must be a positive integer") + # The serialized connection materializes results at execute time. Bound + # the SQL itself, not just a later cursor.fetchmany() call. + rows = [dict(row) for row in self.conn.execute( + sql + " LIMIT ?", args + (limit + 1,), + ).fetchall()] + if len(rows) > limit: + raise ValueError("This move exceeds the review limit; organize a smaller workspace first.") + return rows + + def _relocation_one(self, sql: str, args: tuple) -> Optional[dict]: + row = self.conn.fetchone(sql + " LIMIT 1", args) + return dict(row) if row is not None else None + + def relocation_dependencies(self, workspace_id: str, *, limit: int + ) -> RelocationDependencies: + """Read bounded source history without exposing SQL to the move planner.""" + return RelocationDependencies( + memories=self._relocation_rows( + "SELECT id, repo_id, session_id, metadata, provenance FROM memories " + "WHERE workspace_id=? ORDER BY id", (workspace_id,), limit=limit, + ), + links=self._relocation_rows( + "SELECT l.* FROM mem_links l WHERE l.a IN " + "(SELECT id FROM memories WHERE workspace_id=?) OR l.b IN " + "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY l.rowid", + (workspace_id, workspace_id), limit=limit, + ), + edges=self._relocation_rows( + "SELECT * FROM edges WHERE workspace_id=? ORDER BY id", (workspace_id,), limit=limit, + ), + supports=self._relocation_rows( + "SELECT s.* FROM edge_supports s WHERE s.edge_id IN " + "(SELECT id FROM edges WHERE workspace_id=?) OR s.memory_id IN " + "(SELECT id FROM memories WHERE workspace_id=?) ORDER BY s.id", + (workspace_id, workspace_id), limit=limit, + ), + command_links=self._relocation_rows( + "SELECT cmd.result_id, src.source_id FROM memory_commands cmd " + "JOIN memory_command_sources src ON src.workspace_id=cmd.workspace_id " + "AND src.operation_id=cmd.operation_id WHERE cmd.workspace_id=? " + "ORDER BY cmd.sequence, src.source_id", (workspace_id,), limit=limit, + ), + ) + + def relocation_history(self, memory_ids: list[str], *, limit: int) -> RelocationHistory: + marks = ",".join("?" for _ in memory_ids) + mids = tuple(memory_ids) + history = RelocationHistory() + history.commands = self._relocation_rows( + f"SELECT * FROM memory_commands WHERE result_id IN ({marks}) " + f"OR (workspace_id,operation_id) IN (SELECT workspace_id,operation_id " + f"FROM memory_command_sources WHERE source_id IN ({marks})) " + "ORDER BY sequence", mids + mids, limit=limit, + ) + for command in history.commands: + identity = (command["workspace_id"], command["operation_id"]) + history.command_sources[identity] = self._relocation_rows( + "SELECT * FROM memory_command_sources WHERE workspace_id=? " + "AND operation_id=? ORDER BY source_id", identity, limit=limit, + ) + for table in ("memory_sync_exports", "memory_tombstones", "source_imports", "code_memory_links"): + history.attachments[table] = self._relocation_rows( + f"SELECT * FROM {table} WHERE memory_id IN ({marks})", mids, limit=limit, + ) + history.incidences = self._relocation_rows( + f"SELECT * FROM memory_entities WHERE memory_id IN ({marks}) ORDER BY id", mids, limit=limit, + ) + return history + + def relocation_session_history(self, session_id: str, *, limit: int + ) -> RelocationSessionHistory: + return RelocationSessionHistory( + session=self._relocation_one("SELECT * FROM sessions WHERE id=?", (session_id,)), + jobs=self._relocation_rows( + "SELECT * FROM jobs WHERE session_id=? ORDER BY id", (session_id,), limit=limit, + ), + source_vaults=self._relocation_rows( + "SELECT * FROM source_vaults WHERE session_id=? ORDER BY id", (session_id,), limit=limit, + ), + events=self._relocation_rows( + "SELECT * FROM events WHERE session_id=? ORDER BY id", (session_id,), limit=limit, + ), + ) + + def relocation_workspace_events(self, workspace_id: str, *, limit: int) -> list[dict]: + return self._relocation_rows( + "SELECT * FROM events WHERE workspace_id=? ORDER BY id", (workspace_id,), limit=limit, + ) + + def relocation_entity(self, entity_id: str) -> Optional[dict]: + return self._relocation_one("SELECT * FROM entities WHERE id=?", (entity_id,)) + + def relocation_repo(self, repo_id: str) -> Optional[dict]: + return self._relocation_one("SELECT * FROM repos WHERE id=?", (repo_id,)) + + def relocation_repo_named(self, workspace_id: str, name: str) -> Optional[dict]: + return self._relocation_one( + "SELECT * FROM repos WHERE workspace_id=? AND name=?", (workspace_id, name), + ) + + def relocation_entity_named(self, workspace_id: str, repo_id: Optional[str], + name: str, etype: Optional[str]) -> Optional[dict]: + return self._relocation_one( + "SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " + "AND name=? AND etype IS ? ORDER BY id", (workspace_id, repo_id, name, etype), + ) + + def relocation_canonical_entity(self, workspace_id: str, repo_id: Optional[str], + normalized_name: str, etype: Optional[str]) -> Optional[dict]: + return self._relocation_one( + "SELECT * FROM entities WHERE workspace_id=? AND repo_id IS ? " + "AND normalized_name=? AND etype IS ? AND canonical_id=id", + (workspace_id, repo_id, normalized_name, etype), + ) + + def relocation_edge_conflict(self, workspace_id: str, repo_id: Optional[str], + src: str, dst: str, relation: str, layer: Optional[str] + ) -> Optional[dict]: + return self._relocation_one( + "SELECT * FROM edges WHERE workspace_id=? AND repo_id IS ? " + "AND src=? AND dst=? AND relation=? AND layer=? " + "AND valid_to IS NULL AND expired_at IS NULL", + (workspace_id, repo_id, src, dst, relation, layer), + ) + + def relocation_claim_conflict(self, workspace_id: str, repo_id: Optional[str], + record: MemoryRecord) -> Optional[dict]: + return self._relocation_one( + "SELECT id, metadata, provenance, modified_hlc FROM memories " + "WHERE workspace_id=? AND repo_id IS ? AND scope=? AND mtype=? " + "AND subject_key=? AND claim_kind=? AND valid_to IS NULL AND expired_at IS NULL", + (workspace_id, repo_id, record.scope.value, record.mtype.value, + record.subject_key, record.claim_kind), + ) + + def relocation_operation_exists(self, workspace_id: str, operation_id: str) -> bool: + return self._relocation_one( + "SELECT 1 FROM memory_commands WHERE workspace_id=? AND operation_id=?", + (workspace_id, operation_id), + ) is not None + + def relocation_ownership(self, source_id: str, target_id: str, *, limit: int) -> list[dict]: + return self._relocation_rows( + "SELECT * FROM workspaces WHERE id IN (?,?) ORDER BY id", (source_id, target_id), limit=limit, + ) + + def apply_memory_move(self, plan: MovePlan, *, actor: str) -> None: + """Persist an authorized, revalidated move without settling its caller's transaction.""" + from engraphis.core.mutations import memory_version + + if plan.blockers: + raise ValueError("Resolve the preview blockers before moving memories.") + if not self.conn.transaction_owned_by_current_thread(): + raise RuntimeError("memory relocation requires a caller-owned write transaction") + c = self.conn + now = time.time() + repo_map: dict[str, str] = {} + for repo in plan.repos: + if repo["target"]: + repo_map[repo["id"]] = repo["target"]["id"] + else: + rid = ids.new_id("repo") + repo_map[repo["id"]] = rid + # Host routing and indexed-code settings are not portable with a memory subset. + c.execute("INSERT INTO repos(id,workspace_id,name,created_at,settings) VALUES(?,?,?,?,?)", + (rid, plan.target_id, repo["name"], now, "{}")) + for session in plan.sessions: + c.execute("UPDATE sessions SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(session["repo_id"]), session["id"])) + for event in plan.events: + c.execute("UPDATE events SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(event["repo_id"]), event["id"])) + entity_map = {entity["id"]: entity["target"]["id"] if entity["target"] else ids.new_id("entity") + for entity in plan.entities} + for entity in plan.entities: + if entity["target"]: + continue + eid = entity_map[entity["id"]] + root = entity["root"] + canonical = entity_map[root[4:]] if root.startswith("new:") else root + c.execute("INSERT INTO entities(id,workspace_id,repo_id,name,etype,canonical_id," + "normalized_name,canonical_method,canonical_confidence,created_at) " + "VALUES(?,?,?,?,?,?,?,?,?,?)", + (eid, plan.target_id, repo_map.get(entity["repo_id"]), entity["name"], + entity["etype"], canonical, + entity["normalized_name"], entity["canonical_method"], + entity["canonical_confidence"], entity["created_at"])) + for edge in plan.edges: + start, end = entity_map[edge["src"]], entity_map[edge["dst"]] + if edge["relation"] in {"co_occurs", "related", "associated_with"} and end < start: + start, end = end, start + c.execute("UPDATE edges SET workspace_id=?,repo_id=?,src=?,dst=? WHERE id=?", + (plan.target_id, repo_map.get(edge["repo_id"]), start, end, edge["id"])) + for incidence in plan.incidences: + c.execute("UPDATE memory_entities SET workspace_id=?,repo_id=?,entity_id=? WHERE id=?", + (plan.target_id, repo_map.get(incidence["repo_id"]), + entity_map[incidence["entity_id"]], incidence["id"])) + for record in plan.records: + c.execute("UPDATE memories SET workspace_id=?,repo_id=? WHERE id=?", + (plan.target_id, repo_map.get(record.repo_id or ""), record.id)) + self.advance_memory_modified_hlc(record.id, commit=False) + self.audit(actor, "workspace_move", record.id, json.dumps({ + "operation": plan.preview_token, "source_workspace": plan.source_id, + "target_workspace": plan.target_id, "source_repo": record.repo_id, + "target_repo": repo_map.get(record.repo_id or ""), + }, sort_keys=True), commit=False) + # Keep operation identities and ordering with their history. Remove only + # child keys while updating the parent so immediate foreign keys remain valid. + for row in plan.command_sources: + c.execute("DELETE FROM memory_command_sources WHERE source_id=?", (row["source_id"],)) + for command in plan.commands: + result = self.get_memory(command["result_id"]) + if result is None: + raise ValueError("A correction result disappeared during the move.") + c.execute("UPDATE memory_commands SET workspace_id=?,result_version=? WHERE sequence=?", + (plan.target_id, memory_version(result), command["sequence"])) + for row in plan.command_sources: + c.execute("INSERT INTO memory_command_sources(source_id,workspace_id,operation_id) VALUES(?,?,?)", + (row["source_id"], plan.target_id, row["operation_id"])) + for wid in (plan.source_id, plan.target_id): + c.execute("INSERT INTO graph_index_state(workspace_id,generation,state,updated_at) " + "VALUES(?,1,'ready',?) ON CONFLICT(workspace_id) DO UPDATE SET " + "generation=graph_index_state.generation+1,updated_at=excluded.updated_at", + (wid, now)) + def begin_session_write(self, session_id: str, *, workspace_id: str, repo_id: Optional[str] = None) -> bool: """Reserve an active session for one write transaction. diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 8ee40145..2d8c73d2 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -1,1282 +1,1282 @@ -import hashlib -import json -import re -import struct -from copy import deepcopy -from pathlib import Path -from xml.etree import ElementTree - -import pytest - -from eval import metrics -from eval import grounded as grounded_eval -from eval.benchmark import ( - SCHEMA, - CANONICAL_TOKEN_BUDGETS, - LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE, - canonical_benchmark_config, - count_tokens, - fixed_budget_curve, - paired_bootstrap_ci, - redact_command, - redact_public_record, - main, - question_record, - report_envelope, - stratified_bootstrap_ci, - validate_report, - write_canonical_artifact, -) -from eval.chunking_eval import compare as compare_chunking, load as load_chunking -from eval.harness import load_dataset as load_performance_dataset -from eval.performance import run as run_performance - - +import hashlib +import json +import re +import struct +from copy import deepcopy +from pathlib import Path +from xml.etree import ElementTree + +import pytest + +from eval import metrics +from eval import grounded as grounded_eval +from eval.benchmark import ( + SCHEMA, + CANONICAL_TOKEN_BUDGETS, + LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE, + canonical_benchmark_config, + count_tokens, + fixed_budget_curve, + paired_bootstrap_ci, + redact_command, + redact_public_record, + main, + question_record, + report_envelope, + stratified_bootstrap_ci, + validate_report, + write_canonical_artifact, +) +from eval.chunking_eval import compare as compare_chunking, load as load_chunking +from eval.harness import load_dataset as load_performance_dataset +from eval.performance import run as run_performance + + ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v90.json" -PUBLIC_OFFLINE_SHA = "3526c3db4768cae025ad3b0e4e8c965ad15349dc27d82bd6110467d5881c5566" - - -@pytest.fixture(scope="module") -def offline_release_evidence(): - """Run the exact small offline commands that back the public documentation.""" - longdoc = ROOT / "eval" / "datasets" / "longdoc.jsonl" - codemem = ROOT / "eval" / "datasets" / "codemem.jsonl" - return { - "chunking": compare_chunking( - load_chunking(str(longdoc)), k=5, embed_model=None - ), - "performance": run_performance( - load_performance_dataset(str(codemem)), k=5, iterations=10 - ), - "grounded": grounded_eval.run(), - } - - -def test_public_facing_docs_do_not_use_em_dashes(): - """Published prose uses straightforward punctuation that renders consistently.""" - public_files = [ - *(ROOT / name for name in ("README.md", "BENCHMARKS.md", "CHANGELOG.md", "SECURITY.md")), - *(ROOT / "docs").rglob("*.md"), - *(ROOT / "docs" / "images").glob("*.svg"), - *(ROOT / "skills" / "engraphis-memory").rglob("*.md"), - ] - offenders = [ - path.relative_to(ROOT).as_posix() - for path in public_files - if "—" in path.read_text(encoding="utf-8") - ] - - assert not offenders, f"Public-facing files still contain em dashes: {offenders}" - - -class CharacterTokenizer: - def encode(self, text): - return list(text) - - -def test_public_record_redaction_omits_raw_payloads_and_content_fingerprints(): - record = redact_public_record({ - "question_id": "q1", - "query": "private query", - "answer_variants": ["private answer"], - "model_output": "private completion", - "context": "private context", - "retrieved_context": "private retrieved context", - "prompt": "private prompt", - "input": "private input", - "conversation": ["private conversation"], - "history": ["private history"], - "tool_calls": [{"arguments": "private tool input"}], - }) - - assert record == {"question_id": "q1"} - - - -def _committed_evidence() -> dict: - """Load the COMMITTED registry artifact — the publication source of truth that the - README/BENCHMARKS/SVG prose was written from. - - Prose tests must interpolate values from this artifact, not from a fresh evaluator - run. Timed latency aggregates are machine-dependent, while the context, payload, - question-count, and quality aggregates used by the publication contract are - deterministic and compared exactly in ``test_public_numeric_evidence_registry_is_complete_and_live``. - """ - artifact = json.loads( +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v102.json" +PUBLIC_OFFLINE_SHA = "aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1" + + +@pytest.fixture(scope="module") +def offline_release_evidence(): + """Run the exact small offline commands that back the public documentation.""" + longdoc = ROOT / "eval" / "datasets" / "longdoc.jsonl" + codemem = ROOT / "eval" / "datasets" / "codemem.jsonl" + return { + "chunking": compare_chunking( + load_chunking(str(longdoc)), k=5, embed_model=None + ), + "performance": run_performance( + load_performance_dataset(str(codemem)), k=5, iterations=10 + ), + "grounded": grounded_eval.run(), + } + + +def test_public_facing_docs_do_not_use_em_dashes(): + """Published prose uses straightforward punctuation that renders consistently.""" + public_files = [ + *(ROOT / name for name in ("README.md", "BENCHMARKS.md", "CHANGELOG.md", "SECURITY.md")), + *(ROOT / "docs").rglob("*.md"), + *(ROOT / "docs" / "images").glob("*.svg"), + *(ROOT / "skills" / "engraphis-memory").rglob("*.md"), + ] + offenders = [ + path.relative_to(ROOT).as_posix() + for path in public_files + if "—" in path.read_text(encoding="utf-8") + ] + + assert not offenders, f"Public-facing files still contain em dashes: {offenders}" + + +class CharacterTokenizer: + def encode(self, text): + return list(text) + + +def test_public_record_redaction_omits_raw_payloads_and_content_fingerprints(): + record = redact_public_record({ + "question_id": "q1", + "query": "private query", + "answer_variants": ["private answer"], + "model_output": "private completion", + "context": "private context", + "retrieved_context": "private retrieved context", + "prompt": "private prompt", + "input": "private input", + "conversation": ["private conversation"], + "history": ["private history"], + "tool_calls": [{"arguments": "private tool input"}], + }) + + assert record == {"question_id": "q1"} + + + +def _committed_evidence() -> dict: + """Load the COMMITTED registry artifact — the publication source of truth that the + README/BENCHMARKS/SVG prose was written from. + + Prose tests must interpolate values from this artifact, not from a fresh evaluator + run. Timed latency aggregates are machine-dependent, while the context, payload, + question-count, and quality aggregates used by the publication contract are + deterministic and compared exactly in ``test_public_numeric_evidence_registry_is_complete_and_live``. + """ + artifact = json.loads( (ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT).read_text( - encoding="utf-8" - ) - ) - return { - "chunking": artifact["runs"][0]["result"], - "performance": artifact["runs"][1]["result"], - "grounded": artifact["runs"][2]["result"], - } - -def test_readme_distinguishes_every_registered_token_context_measurement(): - """Public token-efficiency copy preserves each registered metric boundary. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so prose cannot drift from the evidence it cites. - """ - committed = _committed_evidence() - readme = (ROOT / "README.md").read_text(encoding="utf-8") - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - context_full = performance["full_serialized_payload_tokens"] - context_compact = performance["compact_serialized_payload_tokens"] - payload_samples = performance["questions"] - timed_recalls = performance["timed_recalls"] - - for evidence in ( - "## Measured token and context savings", - "See benchmark details and reproduce the results", - "### Measurement details and reproducibility", - f"{whole['mean_context_tokens']:.1f}** tokens → structure-aware chunks: " - f"**{chunked['mean_context_tokens']:.1f}** tokens", - f"{chunking['context_reduction_pct']:.1f}% lower", - f"{whole['mean_evidence_tokens']:.1f}** tokens → chunks: " - f"**{chunked['mean_evidence_tokens']:.1f}** tokens", - "73.9% lower", - f"{context_full:,}** `engraphis.regex.v1` tokens → " - f"compact proxy: **{context_compact:,}** tokens", - f"{performance['saved_serialized_payload_tokens']:,} proxy tokens avoided", - f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", - f"{payload_samples} payload samples; {timed_recalls} timed recalls", - f"1,500** tokens; observed mean: **{performance['mean_context_tokens']:.2f}**; " - f"observed maximum: **{performance['max_context_tokens']}**", - "does **not** serialize the MCP envelope", - "not an MCP transport response", - "must not be added together", - "not a storage-reduction claim", + encoding="utf-8" + ) + ) + return { + "chunking": artifact["runs"][0]["result"], + "performance": artifact["runs"][1]["result"], + "grounded": artifact["runs"][2]["result"], + } + +def test_readme_distinguishes_every_registered_token_context_measurement(): + """Public token-efficiency copy preserves each registered metric boundary. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so prose cannot drift from the evidence it cites. + """ + committed = _committed_evidence() + readme = (ROOT / "README.md").read_text(encoding="utf-8") + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + context_full = performance["full_serialized_payload_tokens"] + context_compact = performance["compact_serialized_payload_tokens"] + payload_samples = performance["questions"] + timed_recalls = performance["timed_recalls"] + + for evidence in ( + "## Measured token and context savings", + "See benchmark details and reproduce the results", + "### Measurement details and reproducibility", + f"{whole['mean_context_tokens']:.1f}** tokens → structure-aware chunks: " + f"**{chunked['mean_context_tokens']:.1f}** tokens", + f"{chunking['context_reduction_pct']:.1f}% lower", + f"{whole['mean_evidence_tokens']:.1f}** tokens → chunks: " + f"**{chunked['mean_evidence_tokens']:.1f}** tokens", + "73.9% lower", + f"{context_full:,}** `engraphis.regex.v1` tokens → " + f"compact proxy: **{context_compact:,}** tokens", + f"{performance['saved_serialized_payload_tokens']:,} proxy tokens avoided", + f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", + f"{payload_samples} payload samples; {timed_recalls} timed recalls", + f"1,500** tokens; observed mean: **{performance['mean_context_tokens']:.2f}**; " + f"observed maximum: **{performance['max_context_tokens']}**", + "does **not** serialize the MCP envelope", + "not an MCP transport response", + "must not be added together", + "not a storage-reduction claim", PUBLIC_OFFLINE_ARTIFACT, - "offline-chunking", - "offline-performance", + "offline-chunking", + "offline-performance", PUBLIC_OFFLINE_SHA, - "There is no universal memory-count", - "python -m eval.vector_scale", - 'vector_backend="sqlite-vec"', - ): - assert evidence in readme - - for unsupported in ( - "49,915,394", - "891,857", - "98.2133%", - "Repeated-memory consolidation fixture", - "1,883** total agent-facing tokens", - "3.1% higher", - ): - assert unsupported not in readme - - - -def test_public_docs_scope_external_numbers_and_withhold_historical_claims(): - """The offline registry is scoped while separate diagnostics remain artifact-bound.""" - readme = (ROOT / "README.md").read_text(encoding="utf-8") - benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - expansion = (ROOT / "docs" / "BENCHMARK_EXPANSION_RESULTS.md").read_text( - encoding="utf-8" - ) - additional = (ROOT / "docs" / "ADDITIONAL_BENCHMARK_DIAGNOSTICS.md").read_text( - encoding="utf-8" - ) - security = (ROOT / "SECURITY.md").read_text(encoding="utf-8") - readme_normalized = " ".join(readme.split()) - benchmarks_normalized = " ".join(benchmarks.split()) - additional_normalized = " ".join(additional.split()) - - assert "See benchmark details and reproduce the results" in readme - assert "offline fixture registry intentionally excludes external" in readme_normalized - assert "Completed retrieval-only diagnostics are published separately" in readme_normalized - assert "absence from this registry" in benchmarks_normalized - assert "LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts" in benchmarks_normalized - assert "Mem2ActBench's declared small retrieval diagnostic is complete" in benchmarks_normalized - assert "LongMemEval 4,096-token context experiment | COMPLETE" in expansion - assert "+24.03 percentage points" in expansion - assert "source-preparation metadata" in expansion - assert "public source lock records 20 preparation exclusions" in additional_normalized - assert "Exact vector scale envelope" in benchmarks - assert "python -m eval.redteam_poisoning" in security - - for stale in ( - "model-dependent, consolidation, productivity, and latency results remain unpublished", - "private diagnostic; it is not an official benchmark-harness or public evidence artifact", - "withholds their case counts, retrieval scores", - ): - assert stale not in readme - assert stale not in benchmarks - - for unsupported in ( - "49,915,394", - "891,857", - "98.2133%", - "0.6045", - "0.6625", - "0.1259", - "0.5100", - "20.666 ms", - ): - assert unsupported not in readme - assert unsupported not in benchmarks - - for supporting_detail in ( - "### Choose a vector backend for your corpus", - "python -m eval.redteam_poisoning", - "[local and hosted plans]", - ): - assert supporting_detail not in readme - - -def test_readme_makes_agent_benefits_and_visual_evidence_scannable(): - """The public overview and its visual evidence must stay wired to real assets.""" - readme = (ROOT / "README.md").read_text(encoding="utf-8") - - for evidence in ( - "## What Engraphis gives an agent", - "Remember a project across sessions", - "Avoid confident guesses", - "Avoid dragging the whole project into every prompt", - "docs/images/knowledge-graph.png", - "docs/images/context-efficiency.svg", - "Less repeated history means more room for the task, tools, and useful evidence", - ): - assert evidence in readme - - for removed in ( - "### See the behavior in reproducible fixtures", - "docs/images/evidence-backed-agent-examples.svg", - "Run `python -m eval.chunking_eval` and `python -m eval.grounded`", - ): - assert removed not in readme - - for filename in ( - "engraphis-benefit-flow.svg", - "engraphis-benefit-flow.png", - "context-efficiency.svg", - "context-efficiency.png", - "evidence-backed-agent-examples.svg", - "evidence-backed-agent-examples.png", - ): - assert (ROOT / "docs" / "images" / filename).is_file() - - -def test_readme_visual_pngs_match_their_svg_canvas(): - """README image exports must not carry hidden screenshot padding.""" - image_dir = ROOT / "docs" / "images" - - for stem in ( - "engraphis-benefit-flow", - "evidence-backed-agent-examples", - "context-efficiency", - ): - svg = ElementTree.parse(image_dir / f"{stem}.svg").getroot() - expected = (int(svg.attrib["width"]), int(svg.attrib["height"])) - png_header = (image_dir / f"{stem}.png").read_bytes()[:24] - - assert png_header[:8] == b"\x89PNG\r\n\x1a\n" - assert struct.unpack(">II", png_header[16:24]) == expected - - -def test_example_visual_uses_the_checked_in_offline_fixture_results( - offline_release_evidence, -): - """The examples stay tied to executable fixtures and their public artifact.""" - chunking = offline_release_evidence["chunking"] - whole = chunking["reports"]["whole"] - chunked = chunking["reports"]["chunked"] - grounded = offline_release_evidence["grounded"] - visual = ( - ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg" - ).read_text(encoding="utf-8") - - assert chunking["context_reduction_pct"] == 71.1 - result = ( - f"{whole['mean_context_tokens']:.1f} → " - f"{chunked['mean_context_tokens']:.1f} tokens" - ) - assert result in visual - assert grounded == { - "answer_rate": 1.0, - "abstain_rate": 1.0, - "accuracy": 1.0, - "grounded_hits": 5, - "abstain_hits": 6, - "quarantine_hits": 1, - "n_quarantine": 1, - "n_answerable": 5, - "n_unanswerable": 6, - } - assert "5/5 answerable questions" in visual - assert "6/6 off-topic questions" in visual + "There is no universal memory-count", + "python -m eval.vector_scale", + 'vector_backend="sqlite-vec"', + ): + assert evidence in readme + + for unsupported in ( + "49,915,394", + "891,857", + "98.2133%", + "Repeated-memory consolidation fixture", + "1,883** total agent-facing tokens", + "3.1% higher", + ): + assert unsupported not in readme + + + +def test_public_docs_scope_external_numbers_and_withhold_historical_claims(): + """The offline registry is scoped while separate diagnostics remain artifact-bound.""" + readme = (ROOT / "README.md").read_text(encoding="utf-8") + benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + expansion = (ROOT / "docs" / "BENCHMARK_EXPANSION_RESULTS.md").read_text( + encoding="utf-8" + ) + additional = (ROOT / "docs" / "ADDITIONAL_BENCHMARK_DIAGNOSTICS.md").read_text( + encoding="utf-8" + ) + security = (ROOT / "SECURITY.md").read_text(encoding="utf-8") + readme_normalized = " ".join(readme.split()) + benchmarks_normalized = " ".join(benchmarks.split()) + additional_normalized = " ".join(additional.split()) + + assert "See benchmark details and reproduce the results" in readme + assert "offline fixture registry intentionally excludes external" in readme_normalized + assert "Completed retrieval-only diagnostics are published separately" in readme_normalized + assert "absence from this registry" in benchmarks_normalized + assert "LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts" in benchmarks_normalized + assert "Mem2ActBench's declared small retrieval diagnostic is complete" in benchmarks_normalized + assert "LongMemEval 4,096-token context experiment | COMPLETE" in expansion + assert "+24.03 percentage points" in expansion + assert "source-preparation metadata" in expansion + assert "public source lock records 20 preparation exclusions" in additional_normalized + assert "Exact vector scale envelope" in benchmarks + assert "python -m eval.redteam_poisoning" in security + + for stale in ( + "model-dependent, consolidation, productivity, and latency results remain unpublished", + "private diagnostic; it is not an official benchmark-harness or public evidence artifact", + "withholds their case counts, retrieval scores", + ): + assert stale not in readme + assert stale not in benchmarks + + for unsupported in ( + "49,915,394", + "891,857", + "98.2133%", + "0.6045", + "0.6625", + "0.1259", + "0.5100", + "20.666 ms", + ): + assert unsupported not in readme + assert unsupported not in benchmarks + + for supporting_detail in ( + "### Choose a vector backend for your corpus", + "python -m eval.redteam_poisoning", + "[local and hosted plans]", + ): + assert supporting_detail not in readme + + +def test_readme_makes_agent_benefits_and_visual_evidence_scannable(): + """The public overview and its visual evidence must stay wired to real assets.""" + readme = (ROOT / "README.md").read_text(encoding="utf-8") + + for evidence in ( + "## What Engraphis gives an agent", + "Remember a project across sessions", + "Avoid confident guesses", + "Avoid dragging the whole project into every prompt", + "docs/images/knowledge-graph.png", + "docs/images/context-efficiency.svg", + "Less repeated history means more room for the task, tools, and useful evidence", + ): + assert evidence in readme + + for removed in ( + "### See the behavior in reproducible fixtures", + "docs/images/evidence-backed-agent-examples.svg", + "Run `python -m eval.chunking_eval` and `python -m eval.grounded`", + ): + assert removed not in readme + + for filename in ( + "engraphis-benefit-flow.svg", + "engraphis-benefit-flow.png", + "context-efficiency.svg", + "context-efficiency.png", + "evidence-backed-agent-examples.svg", + "evidence-backed-agent-examples.png", + ): + assert (ROOT / "docs" / "images" / filename).is_file() + + +def test_readme_visual_pngs_match_their_svg_canvas(): + """README image exports must not carry hidden screenshot padding.""" + image_dir = ROOT / "docs" / "images" + + for stem in ( + "engraphis-benefit-flow", + "evidence-backed-agent-examples", + "context-efficiency", + ): + svg = ElementTree.parse(image_dir / f"{stem}.svg").getroot() + expected = (int(svg.attrib["width"]), int(svg.attrib["height"])) + png_header = (image_dir / f"{stem}.png").read_bytes()[:24] + + assert png_header[:8] == b"\x89PNG\r\n\x1a\n" + assert struct.unpack(">II", png_header[16:24]) == expected + + +def test_example_visual_uses_the_checked_in_offline_fixture_results( + offline_release_evidence, +): + """The examples stay tied to executable fixtures and their public artifact.""" + chunking = offline_release_evidence["chunking"] + whole = chunking["reports"]["whole"] + chunked = chunking["reports"]["chunked"] + grounded = offline_release_evidence["grounded"] + visual = ( + ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg" + ).read_text(encoding="utf-8") + + assert chunking["context_reduction_pct"] == 71.1 + result = ( + f"{whole['mean_context_tokens']:.1f} → " + f"{chunked['mean_context_tokens']:.1f} tokens" + ) + assert result in visual + assert grounded == { + "answer_rate": 1.0, + "abstain_rate": 1.0, + "accuracy": 1.0, + "grounded_hits": 5, + "abstain_hits": 6, + "quarantine_hits": 1, + "n_quarantine": 1, + "n_answerable": 5, + "n_unanswerable": 6, + } + assert "5/5 answerable questions" in visual + assert "6/6 off-topic questions" in visual assert PUBLIC_OFFLINE_SHA in visual - - -def test_context_savings_visual_uses_only_registered_measurements(): - """The headline chart contains only registered values and explicit scope labels. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so chart text cannot drift from the evidence it cites. - """ - visual = (ROOT / "docs" / "images" / "context-efficiency.svg").read_text( - encoding="utf-8" - ) - committed = _committed_evidence() - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - context_full = performance["full_serialized_payload_tokens"] - context_compact = performance["compact_serialized_payload_tokens"] - payload_samples = performance["questions"] - timed_recalls = performance["timed_recalls"] - - for evidence in ( - "Measured context and retrieval boundaries", - "CONTEXT BOUNDARIES", - "QUALITY SCOPES", - "PENDING EVALUATION TRACKS", - "Whole documents", - f"{whole['mean_context_tokens']:.1f} tokens", - "Structure-aware chunks", - f"{chunked['mean_context_tokens']:.1f} tokens", - f"{chunking['context_reduction_pct']:.1f}% lower", - "Smallest evidence:", - "Serialized JSON-shape payload proxy", - f"{payload_samples:,} payload samples / {timed_recalls:,} timed recalls", - "Full JSON-shape proxy", - f"{context_full:,} tokens", - "Compact JSON-shape proxy", - f"{context_compact:,} tokens", - f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", - "Retrieved candidate quality", - "Packed context", - "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000", - "MCP transport not measured", - "JSON proxy only", - "Pinned LoCoMo and LongMemEval artifacts with answer evaluators", - ): - assert evidence in visual - - svg = ElementTree.fromstring(visual) - namespace = "{http://www.w3.org/2000/svg}" - # Numeric source text must be rendered by SVG, not hidden beside a stale bitmap. - assert not svg.findall(f".//{namespace}image") - visible_text = {node.text for node in svg.iter(f"{namespace}text")} - assert f"{context_compact:,} tokens" in visible_text - assert f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower" in visible_text - assert f"Mean {performance['mean_context_tokens']:.2f} / max {performance['max_context_tokens']:,} tokens" in visual - assert "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000" in visual - assert "MCP transport not measured" in visible_text - - for unsupported in ( - "Public evidence is checksum-bound", + + +def test_context_savings_visual_uses_only_registered_measurements(): + """The headline chart contains only registered values and explicit scope labels. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so chart text cannot drift from the evidence it cites. + """ + visual = (ROOT / "docs" / "images" / "context-efficiency.svg").read_text( + encoding="utf-8" + ) + committed = _committed_evidence() + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + context_full = performance["full_serialized_payload_tokens"] + context_compact = performance["compact_serialized_payload_tokens"] + payload_samples = performance["questions"] + timed_recalls = performance["timed_recalls"] + + for evidence in ( + "Measured context and retrieval boundaries", + "CONTEXT BOUNDARIES", + "QUALITY SCOPES", + "PENDING EVALUATION TRACKS", + "Whole documents", + f"{whole['mean_context_tokens']:.1f} tokens", + "Structure-aware chunks", + f"{chunked['mean_context_tokens']:.1f} tokens", + f"{chunking['context_reduction_pct']:.1f}% lower", + "Smallest evidence:", + "Serialized JSON-shape payload proxy", + f"{payload_samples:,} payload samples / {timed_recalls:,} timed recalls", + "Full JSON-shape proxy", + f"{context_full:,} tokens", + "Compact JSON-shape proxy", + f"{context_compact:,} tokens", + f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", + "Retrieved candidate quality", + "Packed context", + "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000", + "MCP transport not measured", + "JSON proxy only", + "Pinned LoCoMo and LongMemEval artifacts with answer evaluators", + ): + assert evidence in visual + + svg = ElementTree.fromstring(visual) + namespace = "{http://www.w3.org/2000/svg}" + # Numeric source text must be rendered by SVG, not hidden beside a stale bitmap. + assert not svg.findall(f".//{namespace}image") + visible_text = {node.text for node in svg.iter(f"{namespace}text")} + assert f"{context_compact:,} tokens" in visible_text + assert f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower" in visible_text + assert f"Mean {performance['mean_context_tokens']:.2f} / max {performance['max_context_tokens']:,} tokens" in visual + assert "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000" in visual + assert "MCP transport not measured" in visible_text + + for unsupported in ( + "Public evidence is checksum-bound", PUBLIC_OFFLINE_ARTIFACT, - "No external or model-dependent number is published without the same evidence", - "Evidence pending", - "No external or model-dependent number is published", - "808.8", - "218.4", - "17,172", - "7,663", - "Repeated memories · 230 tokens", - "47.8% less", - "53× more evidence", - "97.72% less total", - "87.7 average · 106 max", - ): - assert unsupported not in visual - - text_sizes = { - float(value) - for value in re.findall(r'font-size="([^"]+)"', visual) - } - assert {12.5, 13.2, 14.3, 17.4, 18.7, 20.0, 24.0, 33.0} <= text_sizes - - -def test_public_numeric_evidence_registry_is_complete_and_live( - offline_release_evidence, -): - """Every retained public aggregate resolves to one checksum-bound live run.""" - artifact_path = ( + "No external or model-dependent number is published without the same evidence", + "Evidence pending", + "No external or model-dependent number is published", + "808.8", + "218.4", + "17,172", + "7,663", + "Repeated memories · 230 tokens", + "47.8% less", + "53× more evidence", + "97.72% less total", + "87.7 average · 106 max", + ): + assert unsupported not in visual + + text_sizes = { + float(value) + for value in re.findall(r'font-size="([^"]+)"', visual) + } + assert {12.5, 13.2, 14.3, 17.4, 18.7, 20.0, 24.0, 33.0} <= text_sizes + + +def test_public_numeric_evidence_registry_is_complete_and_live( + offline_release_evidence, +): + """Every retained public aggregate resolves to one checksum-bound live run.""" + artifact_path = ( ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT - ) - sidecar_path = artifact_path.with_suffix(".json.sha256") - artifact_bytes = artifact_path.read_bytes() - artifact_sha = hashlib.sha256(artifact_bytes).hexdigest() + ) + sidecar_path = artifact_path.with_suffix(".json.sha256") + artifact_bytes = artifact_path.read_bytes() + artifact_sha = hashlib.sha256(artifact_bytes).hexdigest() expected_sha = PUBLIC_OFFLINE_SHA - - assert artifact_sha == expected_sha - assert sidecar_path.read_text(encoding="ascii") == ( - f"{expected_sha} {artifact_path.name}\n" - ) - artifact = json.loads(artifact_bytes) - assert artifact["schema"] == "engraphis-public-offline-fixtures/v1" - assert not any(artifact["privacy"].values()) - - file_hashes = artifact["suite"]["files"] - assert file_hashes == { - path: hashlib.sha256((ROOT / path).read_bytes()).hexdigest() - for path in sorted(file_hashes) - } - suite_manifest = json.dumps( - file_hashes, sort_keys=True, separators=(",", ":") - ).encode() + + assert artifact_sha == expected_sha + assert sidecar_path.read_text(encoding="ascii") == ( + f"{expected_sha} {artifact_path.name}\n" + ) + artifact = json.loads(artifact_bytes) + assert artifact["schema"] == "engraphis-public-offline-fixtures/v1" + assert not any(artifact["privacy"].values()) + + file_hashes = artifact["suite"]["files"] + assert file_hashes == { + path: hashlib.sha256((ROOT / path).read_bytes()).hexdigest() + for path in sorted(file_hashes) + } + suite_manifest = json.dumps( + file_hashes, sort_keys=True, separators=(",", ":") + ).encode() assert hashlib.sha256(suite_manifest).hexdigest() == artifact["suite"]["digest"] assert artifact["suite"]["digest"] in (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - - runs = {run["id"]: run for run in artifact["runs"]} - assert set(runs) == { - "offline-chunking", - "offline-performance", - "offline-grounded", - } - for run in runs.values(): - assert hashlib.sha256(run["command"].encode()).hexdigest() == run["config_digest"] - - chunking = offline_release_evidence["chunking"] - chunking_result = runs["offline-chunking"]["result"] - for mode in ("whole", "chunked"): - live = chunking["reports"][mode] - recorded = chunking_result[mode] - assert recorded["memories"] == live["memories_stored"] - assert recorded["recall_at_k"] == live["recall_at_k"] - assert recorded["mean_context_tokens"] == live["mean_context_tokens"] - assert recorded["mean_evidence_tokens"] == live["mean_evidence_tokens"] - assert recorded["max_stored_tokens"] == live["max_stored_tokens"] - assert chunking_result["context_reduction_pct"] == chunking["context_reduction_pct"] - - performance = offline_release_evidence["performance"] - performance_result = runs["offline-performance"]["result"] - assert performance_result["questions"] == performance["corpus"]["questions"] - assert performance_result["timed_recalls"] == performance["run"]["timed_recalls"] - assert performance_result["recall_at_k"] == performance["quality"]["recall_at_k"] - assert performance_result["hit_at_k"] == performance["quality"]["hit_at_k"] - assert ( - performance_result["answer_token_recall"] - == performance["quality"]["answer_token_recall"] - ) - - # These values are deterministic fixture aggregates, not wall-clock timing - # observations. Approximate comparisons would let serializer or count drift - # pass the publication contract unnoticed. - assert performance_result["mean_context_tokens"] == performance["context"]["mean_tokens"] - assert performance_result["max_context_tokens"] == performance["context"]["max_tokens"] - assert ( - performance_result["full_serialized_payload_tokens"] - == performance["context"]["full_serialized_payload_tokens"] - ) - assert ( - performance_result["compact_serialized_payload_tokens"] - == performance["context"]["compact_serialized_payload_tokens"] - ) - assert ( - performance_result["saved_serialized_payload_tokens"] - == performance["context"]["saved_serialized_payload_tokens"] - ) - assert ( - performance_result["serialized_payload_savings_ratio"] - == performance["context"]["serialized_payload_savings_ratio"] - ) - - grounded = offline_release_evidence["grounded"] - grounded_result = runs["offline-grounded"]["result"] - assert grounded_result == { - "answerable": grounded["n_answerable"], - "grounded": grounded["grounded_hits"], - "off_topic": grounded["n_unanswerable"], - "quarantined": grounded["n_quarantine"], - "abstained": grounded["abstain_hits"], - "quarantine_hits": grounded["quarantine_hits"], - "decision_accuracy": grounded["accuracy"], - } - - surfaces = ( - ROOT / "README.md", - ROOT / "BENCHMARKS.md", - ROOT / "docs" / "images" / "context-efficiency.svg", - ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg", - ) - for surface in surfaces: - assert expected_sha in surface.read_text(encoding="utf-8") - - claimed_ids = set( - re.findall( - r"offline-(?:chunking|performance|grounded)", - "\n".join(path.read_text(encoding="utf-8") for path in surfaces), - ) - ) - assert claimed_ids == set(runs) - - -def test_benchmark_guide_tracks_the_live_offline_evaluators(): - """Method prose must change whenever its executable offline evidence changes. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so guide text cannot drift from the evidence it cites. - """ - benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - normalized = " ".join(benchmarks.split()) - committed = _committed_evidence() - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - payload_samples = performance["questions"] - - for evidence in ( - f"falls from {whole['mean_context_tokens']:.1f} to " - f"{chunked['mean_context_tokens']:.1f} tokens", - f"{whole['mean_context_tokens'] - chunked['mean_context_tokens']:.1f} fewer, " - f"{chunking['context_reduction_pct']:.1f}% lower", - f"falls from {whole['mean_evidence_tokens']:.1f} to " - f"{chunked['mean_evidence_tokens']:.1f} tokens", - "Payload proxies are sampled once per question", - "not serialized MCP envelopes or transport responses", - f"{payload_samples} payload samples total **" - f"{performance['full_serialized_payload_tokens']:,}** full-proxy", - f"versus **{performance['compact_serialized_payload_tokens']:,}** compact-proxy tokens", - f"avoiding **{performance['saved_serialized_payload_tokens']:,}** proxy tokens", - f"**{100 * performance['serialized_payload_savings_ratio']:.2f}% lower**", - f"averages **{performance['mean_context_tokens']:.2f}** tokens and reaches " - f"**{performance['max_context_tokens']}**", - ): - assert evidence in normalized - - - -def _complete_canonical_report(dataset, config): - """Minimal but fully auditable canonical envelope for validator coverage.""" - profile = config["canonical_profile"] - tokenizer_identity = ( - f"{profile['reader']['model']}@{profile['reader']['revision']}" - ) - record = question_record( - "q1", category="state", context_tokens=3, latency_ms=1.25, - retrieved_ids=["support"], supporting_ids=["support"], - recall_at_1=1.0, recall_at_5=1.0, recall_at_10=1.0, - mrr_at_1=1.0, mrr_at_5=1.0, mrr_at_10=1.0, - ndcg_at_1=1.0, ndcg_at_5=1.0, ndcg_at_10=1.0, - usage={ - "budget_tokens": config.get("token_budget") or 3, - "context_tokens": 3, - "token_counter": tokenizer_identity, - }, - ) - record["context_token_method"] = "pinned_reader_content_tokenizer" - record["context_tokenizer_identity"] = tokenizer_identity - rank_metrics = { - f"{metric}_at_{depth}": 1.0 - for metric in ("recall", "mrr", "ndcg") - for depth in (1, 5, 10) - } - curve_record = { - "question_id": "q1", - "excluded": False, - "context_tokens": 3, - "context_token_method": "pinned_reader_content_tokenizer", - "context_tokenizer_identity": tokenizer_identity, - "retrieved_ids": ["support"], - "supporting_ids": ["support"], - **rank_metrics, - } - report = report_envelope( - suite="fixture", dataset_path=dataset, config=config, records=[record], - metrics={ - **rank_metrics, - "confidence_intervals": { - field: { - "point": 1.0, - "low": 1.0, - "high": 1.0, - "n": 1, - "seed": 20260729, - "iterations": 1, - "strata_key": "category", - } - for field in rank_metrics - }, - "paired_bootstrap": { - "available": False, - "reason": "baseline_records_not_supplied", - "n": 0, - "delta": None, - "low": None, - "high": None, - "iterations": 1, - }, - "grounded_f1": {"available": False, "reason": "not_measured"}, - "abstention_f1": {"available": False, "reason": "not_measured"}, - "fixed_budget_curve": { - "available": True, - "rows": [{ - "token_budget": budget, - "status": "measured", - "n_total": 1, - "n_scored": 1, - "records": [dict(curve_record)], - **rank_metrics, - } for budget in CANONICAL_TOKEN_BUDGETS], - }, - }, - git_commit="a" * 40, - ) - report["system"]["git_dirty"] = False - report["models"] = {"embedder": { - "name": "FixtureEmbedder", - "model_id": profile["embedding"]["model"], - "revision": profile["embedding"]["revision"], - "sha256": "b" * 64, - }} - report["protocol"]["complete_dataset"] = True - report["protocol"]["source_questions"] = len(report["records"]) - return report - - -def test_metrics_cover_rank_sensitive_retrieval_quality(): - retrieved = ["noise", "evidence-a", "evidence-b"] - supporting = ["evidence-a", "evidence-b"] - assert metrics.mrr_at_k(retrieved, supporting, 3) == 0.5 - assert metrics.ndcg_at_k(retrieved, supporting, 3) > 0.6 - assert metrics.recall_at_k(retrieved[:1], supporting) == 0.0 - assert metrics.hit_at_k(retrieved[:1], supporting) == 0.0 - bundle = metrics.retrieval_metrics_at_depths(retrieved, supporting) - assert bundle["recall_at_1"] == 0.0 - assert bundle["recall_at_5"] == 1.0 - assert bundle["mrr_at_5"] == 0.5 - - -def test_envelope_hashes_dataset_config_and_retains_exclusions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} - records = [ - question_record("q1", category="state", supporting_ids=["m1"]), - question_record("q2", category="abstention", excluded=excluded), - ] - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, records=records, - metrics={"recall": 1.0}, git_commit="abc123", - ) - assert report["schema"] == SCHEMA - assert report["suite"]["sha256"] - assert report["system"]["config_sha256"] - assert report["protocol"] == { - "command": ["in_process"], - "config": {"k": 5}, - "token_accounting": { - "identity": "unspecified", - "revision": None, - "scope": "unspecified", - "method": "unspecified", - }, - "n_total": 2, - "n_scored": 1, - } - assert report["exclusions"] == [{ - "question_id": "q2", - "reason": "no_gold_evidence", - }] - assert json.loads(json.dumps(report))["schema"] == SCHEMA - - -def test_envelope_redacts_top_level_exclusion_detail(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, records=[], - exclusions=[{ - "question_id": "q1", "reason": "invalid", "detail": "private prompt text", - }], - ) - - assert report["exclusions"] == [{ - "question_id": "q1", - "reason": "invalid", - }] - - -def test_command_provenance_redacts_explicit_credential_arguments(): - assert redact_command([ - "python", "-m", "runner", "--api-key", "do-not-publish", "--token=value", - ]) == [ - "python", "-m", "runner", "--api-key", "", "--token", "", - ] - - -def test_command_provenance_redacts_assignment_header_and_url_credentials(): - assert redact_command([ - "API_KEY=super-secret", "--api_key", "also-secret", - "-H", "Authorization: Bearer another-secret", - "https://alice:password@example.test/run?access_token=last-secret&format=json", - ]) == [ - "API_KEY=", "--api_key", "", - "-H", "", - "https://@example.test/run?access_token=%3Credacted%3E&format=json", - ] - assert redact_command([ - "-ualice:password", "-psecret", "--user=alice:password", - "--header=Authorization: Bearer secret", - ]) == [ - "-u", "", "-p", "", "--user", "", - "--header", "", - ] - - -def test_command_provenance_redacts_compound_credential_assignments(): - assert redact_command([ - "AWS_SECRET_ACCESS_KEY=do-not-publish", - "AWS_ACCESS_KEY_ID=also-private", - "HTTP_AUTHORIZATION=Bearer another-secret", - "--token-budget", "512", - ]) == [ - "AWS_SECRET_ACCESS_KEY=", - "AWS_ACCESS_KEY_ID=", - "HTTP_AUTHORIZATION=", - "--token-budget", "512", - ] - - -def test_command_provenance_redacts_fragment_credentials_without_hiding_normal_options(): - assert redact_command([ - "--token-budget", "512", "--tokenizer-model", "reader-v1", - "https://example.test/callback#access_token=do-not-publish&state=visible", - ]) == [ - "--token-budget", "512", "--tokenizer-model", "reader-v1", - "https://example.test/callback#access_token=%3Credacted%3E&state=visible", - ] - - -def test_command_provenance_redacts_embedded_and_signed_url_credentials(): - assert redact_command([ - "DATASET_URL=https://example.test/data?access_token=do-not-publish", - "--dataset-url=https://example.test/data?X-Amz-Signature=signed&sig=azure", - "https://example.test/data?signature=generic", - ]) == [ - "DATASET_URL=https://example.test/data?access_token=%3Credacted%3E", - "--dataset-url=https://example.test/data?X-Amz-Signature=%3Credacted%3E&sig=%3Credacted%3E", - "https://example.test/data?signature=%3Credacted%3E", - ] - - -def test_command_provenance_redacts_userinfo_when_a_url_port_is_malformed(): - assert redact_command([ - "https://alice:password@example.test:notaport/path?access_token=do-not-publish", - ]) == [ - "https://@example.test:notaport/path?access_token=%3Credacted%3E", - ] - - -def test_command_provenance_fails_closed_when_url_splitting_rejects_userinfo(): - assert redact_command(["https://user:password@[invalid/path"]) == [""] - - -def test_canonical_profile_validator_and_immutable_artifact_writer(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - profile = json.loads(json.dumps(LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE)) - profile["benchmark"]["repository_revision"] = "a" * 40 - profile["benchmark"]["dataset_revision"] = "b" * 40 - profile["reader"]["revision"] = "c" * 40 - profile["embedding"]["revision"] = "d" * 40 - profile["baseline_label"] = "full_hybrid" - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid", profile=profile - ) - report = _complete_canonical_report(dataset, config) - assert validate_report(report, canonical=True) == [] - dirty = deepcopy(report) - dirty["system"]["git_dirty"] = True - assert "canonical reports require a clean git worktree" in validate_report( - dirty, canonical=True - ) - artifact = tmp_path / "artifacts" / "run.json" - written = write_canonical_artifact(report, artifact, canonical=True) - assert written["sha256"] in artifact.with_name("run.json.sha256").read_text("ascii") - assert json.loads(artifact.read_text("utf-8"))["schema"] == SCHEMA - assert write_canonical_artifact(report, artifact, canonical=True) == written - changed = dict(report) - changed["records"] = [dict(report["records"][0])] - changed["records"][0]["latency_ms"] = 2.0 - with pytest.raises(FileExistsError): - write_canonical_artifact(changed, artifact, canonical=True) - - -def test_report_validator_recomputes_embedded_config_digest(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"baseline_label": "full_hybrid"}, - records=[question_record("q1")], git_commit="abc123", - ) - report["protocol"]["config"]["baseline_label"] = "dense_only" - - errors = validate_report(report) - - assert "system.config_sha256 must match the canonical protocol.config digest" in errors - - -def test_report_validator_rejects_inconsistent_or_duplicate_exclusions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, - records=[ - question_record("q1"), - question_record("q2", excluded=excluded), - ], - git_commit="abc123", - ) - assert validate_report(report) == [] - - report["exclusions"] = [excluded, excluded] - errors = validate_report(report) - assert "exclusion question_id values must be unique" in errors - - report["exclusions"] = [] - errors = validate_report(report) - assert "top-level exclusions must exactly match per-record exclusions" in errors - - -def test_default_canonical_profile_is_pinned_and_rejects_mutable_revisions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - assert validate_report(report, canonical=True) == [] - assert all( - len(value) == 40 - for value in ( - config["canonical_profile"]["benchmark"]["repository_revision"], - config["canonical_profile"]["benchmark"]["dataset_revision"], - config["canonical_profile"]["reader"]["revision"], - config["canonical_profile"]["embedding"]["revision"], - ) - ) - assert config["token_budgets"] == list(CANONICAL_TOKEN_BUDGETS) - - config["canonical_profile"]["reader"]["revision"] = "main" - errors = validate_report(report, canonical=True) - assert any("reader.revision" in error and "immutable" in error for error in errors) - - -def test_canonical_validator_rejects_unpinned_commit_private_prompts_and_unlabeled_measurements(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["system"]["git_commit"] = "not-a-commit" - report["records"][0]["q"] = "private source question" - report["records"][0]["question_sha256"] = "a" * 64 - report["records"][0].pop("context_token_method") - report["metrics"].pop("recall_at_10") - - errors = validate_report(report, canonical=True) - - assert any("git_commit" in error for error in errors) - assert "canonical records must not contain raw query text" in errors - assert "canonical records must not contain question-derived hashes" in errors - assert any("context_token_method" in error for error in errors) - assert any("metrics.recall_at_10" in error for error in errors) - - config["canonical_profile"]["reader"]["revision"] = "C" * 40 - errors = validate_report(report, canonical=True) - assert any("reader.revision" in error and "immutable" in error for error in errors) - - -def test_canonical_validator_requires_grounded_metrics_or_explicit_unavailability(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["metrics"].pop("grounded_f1") - report["metrics"]["abstention_f1"] = {"available": False} - - errors = validate_report(report, canonical=True) - - assert any("grounded_f1" in error and "unavailable reason" in error for error in errors) - assert any("abstention_f1" in error and "unavailable reason" in error for error in errors) - - -def test_canonical_validator_requires_measured_rows_for_every_fixed_budget(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["metrics"]["fixed_budget_curve"]["rows"].pop() - - errors = validate_report(report, canonical=True) - - assert "canonical fixed-budget curve must contain every canonical token budget" in errors - report["metrics"]["fixed_budget_curve"] = {"available": False, "reason": "not_run"} - errors = validate_report(report, canonical=True) - assert "canonical fixed-budget curve is unavailable and cannot qualify as evidence" in errors - - report = _complete_canonical_report(dataset, config) - report["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0]["excluded"] = True - errors = validate_report(report, canonical=True) - assert "canonical fixed-budget curve 256 records must preserve exclusion state" in errors - - -def test_canonical_validator_requires_complete_dataset_cardinality(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - assert validate_report(valid, canonical=True) == [] - - missing_complete = deepcopy(valid) - missing_complete["protocol"].pop("complete_dataset") - assert "canonical protocol.complete_dataset must be true" in validate_report( - missing_complete, canonical=True - ) - - for invalid_count in (True, 0, 2): - mismatched = deepcopy(valid) - mismatched["protocol"]["source_questions"] = invalid_count - errors = validate_report(mismatched, canonical=True) - assert any("protocol.source_questions" in error for error in errors) - - -def test_canonical_validator_rejects_invalid_numeric_and_token_accounting(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - config["token_budget"] = 4 - valid = _complete_canonical_report(dataset, config) - valid["records"][0]["usage"] = { - "budget_tokens": 4, - "context_tokens": 3, - "token_counter": valid["records"][0]["context_tokenizer_identity"], - } - assert validate_report(valid, canonical=True) == [] - - mutations = ( - (("metrics", "recall_at_1"), True, "metrics.recall_at_1"), - (("records", 0, "recall_at_1"), True, "records require recall_at_1"), - (("records", 0, "latency_ms"), float("inf"), "latency_ms"), - (("records", 0, "context_tokens"), float("nan"), "context_tokens"), - (("records", 0, "context_tokens"), -1, "context_tokens"), - (("records", 0, "context_tokens"), 5, "must not exceed protocol token_budget"), - ( - ("records", 0, "usage", "context_tokens"), - 5, - "usage.context_tokens must not exceed usage.budget_tokens", - ), - ( - ("records", 0, "usage", "budget_tokens"), - 5, - "usage.budget_tokens must equal protocol token_budget", - ), - ( - ("records", 0, "usage", "source_tokens"), - True, - "usage.source_tokens must be non-negative and finite", - ), - ( - ("records", 0, "usage", "savings_ratio"), - float("inf"), - "usage.savings_ratio must be a number in [0, 1]", - ), - ( - ("metrics", "fixed_budget_curve", "rows", 0, "recall_at_1"), - True, - "fixed-budget curve 256 requires recall_at_1", - ), - ( - ("metrics", "fixed_budget_curve", "rows", 0, "records", 0, "context_tokens"), - 257, - "context_tokens within budget", - ), - ) - for path, value, expected in mutations: - report = deepcopy(valid) - target = report - for key in path[:-1]: - target = target[key] - target[path[-1]] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (path, errors) - - -def test_canonical_validator_rejects_tampered_confidence_intervals(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - assert validate_report(valid, canonical=True) == [] - - mutations = ( - ("point", float("nan"), "point/low/high must be finite"), - ("low", -0.1, "point/low/high must be finite"), - ("high", 1.1, "point/low/high must be finite"), - ("high", 0.5, "low <= point <= high"), - ("point", 0.5, ".point must match metrics.recall_at_1"), - ("n", 2, ".n must equal the non-excluded record count"), - ("seed", -1, ".seed must be a non-negative integer"), - ("iterations", 0, ".iterations must be a positive integer"), - ("iterations", -1, ".iterations must be a positive integer"), - ("iterations", True, ".iterations must be a positive integer"), - ("strata_key", "topic", ".strata_key must equal category"), - ("low", 0.75, "must exactly match deterministic recomputation"), - ) - for key, value, expected in mutations: - report = deepcopy(valid) - report["metrics"]["confidence_intervals"]["recall_at_1"][key] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (key, value, errors) - for metric_name in ( - "recall_at_1", "recall_at_5", "recall_at_10", - "mrr_at_1", "mrr_at_5", "mrr_at_10", - "ndcg_at_1", "ndcg_at_5", "ndcg_at_10", - ): - report = deepcopy(valid) - interval = report["metrics"]["confidence_intervals"][metric_name] - if interval["low"] > 0: - interval["low"] = round(interval["low"] - 0.000001, 6) - else: - interval["high"] = round(interval["high"] + 0.000001, 6) - errors = validate_report(report, canonical=True) - assert any( - "must exactly match deterministic recomputation" in error - for error in errors - ), (metric_name, errors) - - extra = deepcopy(valid) - extra["metrics"]["confidence_intervals"]["recall_at_1"]["mean"] = 1.0 - errors = validate_report(extra, canonical=True) - assert any("must match the canonical confidence interval schema" in error for error in errors) - - missing = deepcopy(valid) - missing["metrics"]["confidence_intervals"].pop("recall_at_1") - errors = validate_report(missing, canonical=True) - assert ( - "canonical metrics.confidence_intervals must exactly cover every rank metric" - in errors - ) - - -def test_canonical_validator_rejects_tampered_paired_bootstrap_payloads(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - unavailable_mutations = ( - ("reason", "", ".reason must be a non-empty string"), - ("n", 1, ".n must be zero when unavailable"), - ("delta", 0.0, "delta/low/high must be null when unavailable"), - ("iterations", 0, ".iterations must be a positive integer"), - ("iterations", True, ".iterations must be a positive integer"), - ) - for key, value, expected in unavailable_mutations: - report = deepcopy(valid) - report["metrics"]["paired_bootstrap"][key] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (key, value, errors) - - available = deepcopy(valid) - available["metrics"]["paired_bootstrap"] = { - "available": True, - "metric": "recall_at_5", - "delta": 0.25, - "low": 0.0, - "high": 0.5, - "n": 1, - "seed": 20260729, - "iterations": 20, - } - errors = validate_report(available, canonical=True) - assert any( - "must be unavailable until an immutable baseline artifact" in error - for error in errors - ) - - -def test_canonical_validator_recomputes_all_rank_aggregates_from_record_ids(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - top_level = deepcopy(valid) - top_level["metrics"]["recall_at_5"] = 0.5 - errors = validate_report(top_level, canonical=True) - assert ( - "canonical metrics.recall_at_5 must equal the non-excluded record mean" - in errors - ) - - curve_aggregate = deepcopy(valid) - curve_aggregate["metrics"]["fixed_budget_curve"]["rows"][0]["ndcg_at_10"] = 0.5 - errors = validate_report(curve_aggregate, canonical=True) - assert any( - "fixed-budget curve 256 ndcg_at_10" in error - and "non-excluded record mean" in error - for error in errors - ) - - curve_measurement = deepcopy(valid) - measurement = curve_measurement["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0] - measurement["retrieved_ids"] = [] - errors = validate_report(curve_measurement, canonical=True) - assert any( - "fixed-budget curve 256 record recall_at_1" in error - and "retrieved_ids and supporting_ids" in error - for error in errors - ) - - -def test_canonical_validator_derives_numeric_grounded_metrics_from_labels(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - - unlabeled = _complete_canonical_report(dataset, config) - unlabeled["metrics"]["grounded_f1"] = 0.75 - unlabeled["metrics"]["abstention_f1"] = 0.75 - errors = validate_report(unlabeled, canonical=True) - assert any( - "metrics.grounded_f1 requires labeled per-question grounded values" in error - and "unavailable reason" in error - for error in errors - ) - assert any( - "metrics.abstention_f1 requires labeled per-question abstained values" in error - and "unavailable reason" in error - for error in errors - ) - - measured = _complete_canonical_report(dataset, config) - measured["records"][0].update({ - "answerable": True, - "grounded": True, - "abstained": False, - }) - measured["metrics"]["grounded"] = { - "available": True, - **metrics.grounded_precision_recall_f1([True], [True]), - } - measured["metrics"]["abstention"] = { - "available": True, - **metrics.abstention_precision_recall_f1([False], [True]), - } - measured["metrics"]["grounded_f1"] = 1.0 - measured["metrics"]["abstention_f1"] = 1.0 - assert validate_report(measured, canonical=True) == [] - - bad_count = deepcopy(measured) - bad_count["metrics"]["grounded"]["n"] = 2 - errors = validate_report(bad_count, canonical=True) - assert ( - "canonical metrics.grounded.n must be recomputed from per-question labels" - in errors - ) - - measured["metrics"]["grounded_f1"] = 0.0 - errors = validate_report(measured, canonical=True) - assert ( - "canonical metrics.grounded_f1 must be recomputed from per-question labels" - in errors - ) - - -def test_canonical_validator_requires_pinned_reader_tokenizer_identity(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - estimated = deepcopy(valid) - estimated["records"][0]["context_token_method"] = "deterministic_estimate" - estimated["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0][ - "context_token_method" - ] = "deterministic_estimate" - errors = validate_report(estimated, canonical=True) - assert any( - "context_token_method=pinned_reader_content_tokenizer" in error - for error in errors - ) - assert any( - "fixed-budget curve 256 records require" in error - and "context_token_method=pinned_reader_content_tokenizer" in error - for error in errors - ) - - mismatched = deepcopy(valid) - mismatched["records"][0]["context_tokenizer_identity"] = "other/model@" + "e" * 40 - mismatched["records"][0]["usage"]["token_counter"] = "other/model@" + "e" * 40 - errors = validate_report(mismatched, canonical=True) - assert any("context_tokenizer_identity must match" in error for error in errors) - assert any("usage.token_counter must match" in error for error in errors) - - -def test_benchmark_cli_writes_canonical_json_and_checksum(tmp_path, capsys): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, - records=[question_record("q1")], git_commit="abc123", - ) - source = tmp_path / "source.json" - source.write_text(json.dumps(report), encoding="utf-8") - artifact = tmp_path / "artifact.json" - assert main(["--input", str(source), "--output", str(artifact)]) == 0 - assert artifact.exists() and artifact.with_name("artifact.json.sha256").exists() - assert "sha256" in capsys.readouterr().out - - -def test_exact_tokenizer_fallback_budget_curves_and_deterministic_cis(): - assert count_tokens("abc", CharacterTokenizer()) == {"tokens": 3, "method": "injected"} - assert count_tokens("one two")["method"] == "deterministic_estimate" - records = [ - {"category": "a", "supporting_ids": ["m1"], "chunks": [ - {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} - ]}, - {"category": "b", "supporting_ids": ["m2"], "chunks": [ - {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} - ]}, - ] - curve = fixed_budget_curve(records, [3, 6]) - assert curve[0]["recall"] == 0.5 - assert curve[1]["recall"] == 1.0 - def metric(rows): - return sum(row["value"] for row in rows) / len(rows) - ci_one = stratified_bootstrap_ci( - [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], - metric, iterations=40, seed=4, - ) - ci_two = stratified_bootstrap_ci( - [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], - metric, iterations=40, seed=4, - ) - assert ci_one == ci_two - paired = paired_bootstrap_ci([(1.0, 0.0), (0.0, 0.0)], iterations=40, seed=4) - assert paired["delta"] == 0.5 and paired["n"] == 2 + + runs = {run["id"]: run for run in artifact["runs"]} + assert set(runs) == { + "offline-chunking", + "offline-performance", + "offline-grounded", + } + for run in runs.values(): + assert hashlib.sha256(run["command"].encode()).hexdigest() == run["config_digest"] + + chunking = offline_release_evidence["chunking"] + chunking_result = runs["offline-chunking"]["result"] + for mode in ("whole", "chunked"): + live = chunking["reports"][mode] + recorded = chunking_result[mode] + assert recorded["memories"] == live["memories_stored"] + assert recorded["recall_at_k"] == live["recall_at_k"] + assert recorded["mean_context_tokens"] == live["mean_context_tokens"] + assert recorded["mean_evidence_tokens"] == live["mean_evidence_tokens"] + assert recorded["max_stored_tokens"] == live["max_stored_tokens"] + assert chunking_result["context_reduction_pct"] == chunking["context_reduction_pct"] + + performance = offline_release_evidence["performance"] + performance_result = runs["offline-performance"]["result"] + assert performance_result["questions"] == performance["corpus"]["questions"] + assert performance_result["timed_recalls"] == performance["run"]["timed_recalls"] + assert performance_result["recall_at_k"] == performance["quality"]["recall_at_k"] + assert performance_result["hit_at_k"] == performance["quality"]["hit_at_k"] + assert ( + performance_result["answer_token_recall"] + == performance["quality"]["answer_token_recall"] + ) + + # These values are deterministic fixture aggregates, not wall-clock timing + # observations. Approximate comparisons would let serializer or count drift + # pass the publication contract unnoticed. + assert performance_result["mean_context_tokens"] == performance["context"]["mean_tokens"] + assert performance_result["max_context_tokens"] == performance["context"]["max_tokens"] + assert ( + performance_result["full_serialized_payload_tokens"] + == performance["context"]["full_serialized_payload_tokens"] + ) + assert ( + performance_result["compact_serialized_payload_tokens"] + == performance["context"]["compact_serialized_payload_tokens"] + ) + assert ( + performance_result["saved_serialized_payload_tokens"] + == performance["context"]["saved_serialized_payload_tokens"] + ) + assert ( + performance_result["serialized_payload_savings_ratio"] + == performance["context"]["serialized_payload_savings_ratio"] + ) + + grounded = offline_release_evidence["grounded"] + grounded_result = runs["offline-grounded"]["result"] + assert grounded_result == { + "answerable": grounded["n_answerable"], + "grounded": grounded["grounded_hits"], + "off_topic": grounded["n_unanswerable"], + "quarantined": grounded["n_quarantine"], + "abstained": grounded["abstain_hits"], + "quarantine_hits": grounded["quarantine_hits"], + "decision_accuracy": grounded["accuracy"], + } + + surfaces = ( + ROOT / "README.md", + ROOT / "BENCHMARKS.md", + ROOT / "docs" / "images" / "context-efficiency.svg", + ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg", + ) + for surface in surfaces: + assert expected_sha in surface.read_text(encoding="utf-8") + + claimed_ids = set( + re.findall( + r"offline-(?:chunking|performance|grounded)", + "\n".join(path.read_text(encoding="utf-8") for path in surfaces), + ) + ) + assert claimed_ids == set(runs) + + +def test_benchmark_guide_tracks_the_live_offline_evaluators(): + """Method prose must change whenever its executable offline evidence changes. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so guide text cannot drift from the evidence it cites. + """ + benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + normalized = " ".join(benchmarks.split()) + committed = _committed_evidence() + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + payload_samples = performance["questions"] + + for evidence in ( + f"falls from {whole['mean_context_tokens']:.1f} to " + f"{chunked['mean_context_tokens']:.1f} tokens", + f"{whole['mean_context_tokens'] - chunked['mean_context_tokens']:.1f} fewer, " + f"{chunking['context_reduction_pct']:.1f}% lower", + f"falls from {whole['mean_evidence_tokens']:.1f} to " + f"{chunked['mean_evidence_tokens']:.1f} tokens", + "Payload proxies are sampled once per question", + "not serialized MCP envelopes or transport responses", + f"{payload_samples} payload samples total **" + f"{performance['full_serialized_payload_tokens']:,}** full-proxy", + f"versus **{performance['compact_serialized_payload_tokens']:,}** compact-proxy tokens", + f"avoiding **{performance['saved_serialized_payload_tokens']:,}** proxy tokens", + f"**{100 * performance['serialized_payload_savings_ratio']:.2f}% lower**", + f"averages **{performance['mean_context_tokens']:.2f}** tokens and reaches " + f"**{performance['max_context_tokens']}**", + ): + assert evidence in normalized + + + +def _complete_canonical_report(dataset, config): + """Minimal but fully auditable canonical envelope for validator coverage.""" + profile = config["canonical_profile"] + tokenizer_identity = ( + f"{profile['reader']['model']}@{profile['reader']['revision']}" + ) + record = question_record( + "q1", category="state", context_tokens=3, latency_ms=1.25, + retrieved_ids=["support"], supporting_ids=["support"], + recall_at_1=1.0, recall_at_5=1.0, recall_at_10=1.0, + mrr_at_1=1.0, mrr_at_5=1.0, mrr_at_10=1.0, + ndcg_at_1=1.0, ndcg_at_5=1.0, ndcg_at_10=1.0, + usage={ + "budget_tokens": config.get("token_budget") or 3, + "context_tokens": 3, + "token_counter": tokenizer_identity, + }, + ) + record["context_token_method"] = "pinned_reader_content_tokenizer" + record["context_tokenizer_identity"] = tokenizer_identity + rank_metrics = { + f"{metric}_at_{depth}": 1.0 + for metric in ("recall", "mrr", "ndcg") + for depth in (1, 5, 10) + } + curve_record = { + "question_id": "q1", + "excluded": False, + "context_tokens": 3, + "context_token_method": "pinned_reader_content_tokenizer", + "context_tokenizer_identity": tokenizer_identity, + "retrieved_ids": ["support"], + "supporting_ids": ["support"], + **rank_metrics, + } + report = report_envelope( + suite="fixture", dataset_path=dataset, config=config, records=[record], + metrics={ + **rank_metrics, + "confidence_intervals": { + field: { + "point": 1.0, + "low": 1.0, + "high": 1.0, + "n": 1, + "seed": 20260729, + "iterations": 1, + "strata_key": "category", + } + for field in rank_metrics + }, + "paired_bootstrap": { + "available": False, + "reason": "baseline_records_not_supplied", + "n": 0, + "delta": None, + "low": None, + "high": None, + "iterations": 1, + }, + "grounded_f1": {"available": False, "reason": "not_measured"}, + "abstention_f1": {"available": False, "reason": "not_measured"}, + "fixed_budget_curve": { + "available": True, + "rows": [{ + "token_budget": budget, + "status": "measured", + "n_total": 1, + "n_scored": 1, + "records": [dict(curve_record)], + **rank_metrics, + } for budget in CANONICAL_TOKEN_BUDGETS], + }, + }, + git_commit="a" * 40, + ) + report["system"]["git_dirty"] = False + report["models"] = {"embedder": { + "name": "FixtureEmbedder", + "model_id": profile["embedding"]["model"], + "revision": profile["embedding"]["revision"], + "sha256": "b" * 64, + }} + report["protocol"]["complete_dataset"] = True + report["protocol"]["source_questions"] = len(report["records"]) + return report + + +def test_metrics_cover_rank_sensitive_retrieval_quality(): + retrieved = ["noise", "evidence-a", "evidence-b"] + supporting = ["evidence-a", "evidence-b"] + assert metrics.mrr_at_k(retrieved, supporting, 3) == 0.5 + assert metrics.ndcg_at_k(retrieved, supporting, 3) > 0.6 + assert metrics.recall_at_k(retrieved[:1], supporting) == 0.0 + assert metrics.hit_at_k(retrieved[:1], supporting) == 0.0 + bundle = metrics.retrieval_metrics_at_depths(retrieved, supporting) + assert bundle["recall_at_1"] == 0.0 + assert bundle["recall_at_5"] == 1.0 + assert bundle["mrr_at_5"] == 0.5 + + +def test_envelope_hashes_dataset_config_and_retains_exclusions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} + records = [ + question_record("q1", category="state", supporting_ids=["m1"]), + question_record("q2", category="abstention", excluded=excluded), + ] + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, records=records, + metrics={"recall": 1.0}, git_commit="abc123", + ) + assert report["schema"] == SCHEMA + assert report["suite"]["sha256"] + assert report["system"]["config_sha256"] + assert report["protocol"] == { + "command": ["in_process"], + "config": {"k": 5}, + "token_accounting": { + "identity": "unspecified", + "revision": None, + "scope": "unspecified", + "method": "unspecified", + }, + "n_total": 2, + "n_scored": 1, + } + assert report["exclusions"] == [{ + "question_id": "q2", + "reason": "no_gold_evidence", + }] + assert json.loads(json.dumps(report))["schema"] == SCHEMA + + +def test_envelope_redacts_top_level_exclusion_detail(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, records=[], + exclusions=[{ + "question_id": "q1", "reason": "invalid", "detail": "private prompt text", + }], + ) + + assert report["exclusions"] == [{ + "question_id": "q1", + "reason": "invalid", + }] + + +def test_command_provenance_redacts_explicit_credential_arguments(): + assert redact_command([ + "python", "-m", "runner", "--api-key", "do-not-publish", "--token=value", + ]) == [ + "python", "-m", "runner", "--api-key", "", "--token", "", + ] + + +def test_command_provenance_redacts_assignment_header_and_url_credentials(): + assert redact_command([ + "API_KEY=super-secret", "--api_key", "also-secret", + "-H", "Authorization: Bearer another-secret", + "https://alice:password@example.test/run?access_token=last-secret&format=json", + ]) == [ + "API_KEY=", "--api_key", "", + "-H", "", + "https://@example.test/run?access_token=%3Credacted%3E&format=json", + ] + assert redact_command([ + "-ualice:password", "-psecret", "--user=alice:password", + "--header=Authorization: Bearer secret", + ]) == [ + "-u", "", "-p", "", "--user", "", + "--header", "", + ] + + +def test_command_provenance_redacts_compound_credential_assignments(): + assert redact_command([ + "AWS_SECRET_ACCESS_KEY=do-not-publish", + "AWS_ACCESS_KEY_ID=also-private", + "HTTP_AUTHORIZATION=Bearer another-secret", + "--token-budget", "512", + ]) == [ + "AWS_SECRET_ACCESS_KEY=", + "AWS_ACCESS_KEY_ID=", + "HTTP_AUTHORIZATION=", + "--token-budget", "512", + ] + + +def test_command_provenance_redacts_fragment_credentials_without_hiding_normal_options(): + assert redact_command([ + "--token-budget", "512", "--tokenizer-model", "reader-v1", + "https://example.test/callback#access_token=do-not-publish&state=visible", + ]) == [ + "--token-budget", "512", "--tokenizer-model", "reader-v1", + "https://example.test/callback#access_token=%3Credacted%3E&state=visible", + ] + + +def test_command_provenance_redacts_embedded_and_signed_url_credentials(): + assert redact_command([ + "DATASET_URL=https://example.test/data?access_token=do-not-publish", + "--dataset-url=https://example.test/data?X-Amz-Signature=signed&sig=azure", + "https://example.test/data?signature=generic", + ]) == [ + "DATASET_URL=https://example.test/data?access_token=%3Credacted%3E", + "--dataset-url=https://example.test/data?X-Amz-Signature=%3Credacted%3E&sig=%3Credacted%3E", + "https://example.test/data?signature=%3Credacted%3E", + ] + + +def test_command_provenance_redacts_userinfo_when_a_url_port_is_malformed(): + assert redact_command([ + "https://alice:password@example.test:notaport/path?access_token=do-not-publish", + ]) == [ + "https://@example.test:notaport/path?access_token=%3Credacted%3E", + ] + + +def test_command_provenance_fails_closed_when_url_splitting_rejects_userinfo(): + assert redact_command(["https://user:password@[invalid/path"]) == [""] + + +def test_canonical_profile_validator_and_immutable_artifact_writer(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + profile = json.loads(json.dumps(LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE)) + profile["benchmark"]["repository_revision"] = "a" * 40 + profile["benchmark"]["dataset_revision"] = "b" * 40 + profile["reader"]["revision"] = "c" * 40 + profile["embedding"]["revision"] = "d" * 40 + profile["baseline_label"] = "full_hybrid" + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid", profile=profile + ) + report = _complete_canonical_report(dataset, config) + assert validate_report(report, canonical=True) == [] + dirty = deepcopy(report) + dirty["system"]["git_dirty"] = True + assert "canonical reports require a clean git worktree" in validate_report( + dirty, canonical=True + ) + artifact = tmp_path / "artifacts" / "run.json" + written = write_canonical_artifact(report, artifact, canonical=True) + assert written["sha256"] in artifact.with_name("run.json.sha256").read_text("ascii") + assert json.loads(artifact.read_text("utf-8"))["schema"] == SCHEMA + assert write_canonical_artifact(report, artifact, canonical=True) == written + changed = dict(report) + changed["records"] = [dict(report["records"][0])] + changed["records"][0]["latency_ms"] = 2.0 + with pytest.raises(FileExistsError): + write_canonical_artifact(changed, artifact, canonical=True) + + +def test_report_validator_recomputes_embedded_config_digest(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"baseline_label": "full_hybrid"}, + records=[question_record("q1")], git_commit="abc123", + ) + report["protocol"]["config"]["baseline_label"] = "dense_only" + + errors = validate_report(report) + + assert "system.config_sha256 must match the canonical protocol.config digest" in errors + + +def test_report_validator_rejects_inconsistent_or_duplicate_exclusions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, + records=[ + question_record("q1"), + question_record("q2", excluded=excluded), + ], + git_commit="abc123", + ) + assert validate_report(report) == [] + + report["exclusions"] = [excluded, excluded] + errors = validate_report(report) + assert "exclusion question_id values must be unique" in errors + + report["exclusions"] = [] + errors = validate_report(report) + assert "top-level exclusions must exactly match per-record exclusions" in errors + + +def test_default_canonical_profile_is_pinned_and_rejects_mutable_revisions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + assert validate_report(report, canonical=True) == [] + assert all( + len(value) == 40 + for value in ( + config["canonical_profile"]["benchmark"]["repository_revision"], + config["canonical_profile"]["benchmark"]["dataset_revision"], + config["canonical_profile"]["reader"]["revision"], + config["canonical_profile"]["embedding"]["revision"], + ) + ) + assert config["token_budgets"] == list(CANONICAL_TOKEN_BUDGETS) + + config["canonical_profile"]["reader"]["revision"] = "main" + errors = validate_report(report, canonical=True) + assert any("reader.revision" in error and "immutable" in error for error in errors) + + +def test_canonical_validator_rejects_unpinned_commit_private_prompts_and_unlabeled_measurements(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["system"]["git_commit"] = "not-a-commit" + report["records"][0]["q"] = "private source question" + report["records"][0]["question_sha256"] = "a" * 64 + report["records"][0].pop("context_token_method") + report["metrics"].pop("recall_at_10") + + errors = validate_report(report, canonical=True) + + assert any("git_commit" in error for error in errors) + assert "canonical records must not contain raw query text" in errors + assert "canonical records must not contain question-derived hashes" in errors + assert any("context_token_method" in error for error in errors) + assert any("metrics.recall_at_10" in error for error in errors) + + config["canonical_profile"]["reader"]["revision"] = "C" * 40 + errors = validate_report(report, canonical=True) + assert any("reader.revision" in error and "immutable" in error for error in errors) + + +def test_canonical_validator_requires_grounded_metrics_or_explicit_unavailability(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["metrics"].pop("grounded_f1") + report["metrics"]["abstention_f1"] = {"available": False} + + errors = validate_report(report, canonical=True) + + assert any("grounded_f1" in error and "unavailable reason" in error for error in errors) + assert any("abstention_f1" in error and "unavailable reason" in error for error in errors) + + +def test_canonical_validator_requires_measured_rows_for_every_fixed_budget(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["metrics"]["fixed_budget_curve"]["rows"].pop() + + errors = validate_report(report, canonical=True) + + assert "canonical fixed-budget curve must contain every canonical token budget" in errors + report["metrics"]["fixed_budget_curve"] = {"available": False, "reason": "not_run"} + errors = validate_report(report, canonical=True) + assert "canonical fixed-budget curve is unavailable and cannot qualify as evidence" in errors + + report = _complete_canonical_report(dataset, config) + report["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0]["excluded"] = True + errors = validate_report(report, canonical=True) + assert "canonical fixed-budget curve 256 records must preserve exclusion state" in errors + + +def test_canonical_validator_requires_complete_dataset_cardinality(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + assert validate_report(valid, canonical=True) == [] + + missing_complete = deepcopy(valid) + missing_complete["protocol"].pop("complete_dataset") + assert "canonical protocol.complete_dataset must be true" in validate_report( + missing_complete, canonical=True + ) + + for invalid_count in (True, 0, 2): + mismatched = deepcopy(valid) + mismatched["protocol"]["source_questions"] = invalid_count + errors = validate_report(mismatched, canonical=True) + assert any("protocol.source_questions" in error for error in errors) + + +def test_canonical_validator_rejects_invalid_numeric_and_token_accounting(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + config["token_budget"] = 4 + valid = _complete_canonical_report(dataset, config) + valid["records"][0]["usage"] = { + "budget_tokens": 4, + "context_tokens": 3, + "token_counter": valid["records"][0]["context_tokenizer_identity"], + } + assert validate_report(valid, canonical=True) == [] + + mutations = ( + (("metrics", "recall_at_1"), True, "metrics.recall_at_1"), + (("records", 0, "recall_at_1"), True, "records require recall_at_1"), + (("records", 0, "latency_ms"), float("inf"), "latency_ms"), + (("records", 0, "context_tokens"), float("nan"), "context_tokens"), + (("records", 0, "context_tokens"), -1, "context_tokens"), + (("records", 0, "context_tokens"), 5, "must not exceed protocol token_budget"), + ( + ("records", 0, "usage", "context_tokens"), + 5, + "usage.context_tokens must not exceed usage.budget_tokens", + ), + ( + ("records", 0, "usage", "budget_tokens"), + 5, + "usage.budget_tokens must equal protocol token_budget", + ), + ( + ("records", 0, "usage", "source_tokens"), + True, + "usage.source_tokens must be non-negative and finite", + ), + ( + ("records", 0, "usage", "savings_ratio"), + float("inf"), + "usage.savings_ratio must be a number in [0, 1]", + ), + ( + ("metrics", "fixed_budget_curve", "rows", 0, "recall_at_1"), + True, + "fixed-budget curve 256 requires recall_at_1", + ), + ( + ("metrics", "fixed_budget_curve", "rows", 0, "records", 0, "context_tokens"), + 257, + "context_tokens within budget", + ), + ) + for path, value, expected in mutations: + report = deepcopy(valid) + target = report + for key in path[:-1]: + target = target[key] + target[path[-1]] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (path, errors) + + +def test_canonical_validator_rejects_tampered_confidence_intervals(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + assert validate_report(valid, canonical=True) == [] + + mutations = ( + ("point", float("nan"), "point/low/high must be finite"), + ("low", -0.1, "point/low/high must be finite"), + ("high", 1.1, "point/low/high must be finite"), + ("high", 0.5, "low <= point <= high"), + ("point", 0.5, ".point must match metrics.recall_at_1"), + ("n", 2, ".n must equal the non-excluded record count"), + ("seed", -1, ".seed must be a non-negative integer"), + ("iterations", 0, ".iterations must be a positive integer"), + ("iterations", -1, ".iterations must be a positive integer"), + ("iterations", True, ".iterations must be a positive integer"), + ("strata_key", "topic", ".strata_key must equal category"), + ("low", 0.75, "must exactly match deterministic recomputation"), + ) + for key, value, expected in mutations: + report = deepcopy(valid) + report["metrics"]["confidence_intervals"]["recall_at_1"][key] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (key, value, errors) + for metric_name in ( + "recall_at_1", "recall_at_5", "recall_at_10", + "mrr_at_1", "mrr_at_5", "mrr_at_10", + "ndcg_at_1", "ndcg_at_5", "ndcg_at_10", + ): + report = deepcopy(valid) + interval = report["metrics"]["confidence_intervals"][metric_name] + if interval["low"] > 0: + interval["low"] = round(interval["low"] - 0.000001, 6) + else: + interval["high"] = round(interval["high"] + 0.000001, 6) + errors = validate_report(report, canonical=True) + assert any( + "must exactly match deterministic recomputation" in error + for error in errors + ), (metric_name, errors) + + extra = deepcopy(valid) + extra["metrics"]["confidence_intervals"]["recall_at_1"]["mean"] = 1.0 + errors = validate_report(extra, canonical=True) + assert any("must match the canonical confidence interval schema" in error for error in errors) + + missing = deepcopy(valid) + missing["metrics"]["confidence_intervals"].pop("recall_at_1") + errors = validate_report(missing, canonical=True) + assert ( + "canonical metrics.confidence_intervals must exactly cover every rank metric" + in errors + ) + + +def test_canonical_validator_rejects_tampered_paired_bootstrap_payloads(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + unavailable_mutations = ( + ("reason", "", ".reason must be a non-empty string"), + ("n", 1, ".n must be zero when unavailable"), + ("delta", 0.0, "delta/low/high must be null when unavailable"), + ("iterations", 0, ".iterations must be a positive integer"), + ("iterations", True, ".iterations must be a positive integer"), + ) + for key, value, expected in unavailable_mutations: + report = deepcopy(valid) + report["metrics"]["paired_bootstrap"][key] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (key, value, errors) + + available = deepcopy(valid) + available["metrics"]["paired_bootstrap"] = { + "available": True, + "metric": "recall_at_5", + "delta": 0.25, + "low": 0.0, + "high": 0.5, + "n": 1, + "seed": 20260729, + "iterations": 20, + } + errors = validate_report(available, canonical=True) + assert any( + "must be unavailable until an immutable baseline artifact" in error + for error in errors + ) + + +def test_canonical_validator_recomputes_all_rank_aggregates_from_record_ids(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + top_level = deepcopy(valid) + top_level["metrics"]["recall_at_5"] = 0.5 + errors = validate_report(top_level, canonical=True) + assert ( + "canonical metrics.recall_at_5 must equal the non-excluded record mean" + in errors + ) + + curve_aggregate = deepcopy(valid) + curve_aggregate["metrics"]["fixed_budget_curve"]["rows"][0]["ndcg_at_10"] = 0.5 + errors = validate_report(curve_aggregate, canonical=True) + assert any( + "fixed-budget curve 256 ndcg_at_10" in error + and "non-excluded record mean" in error + for error in errors + ) + + curve_measurement = deepcopy(valid) + measurement = curve_measurement["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0] + measurement["retrieved_ids"] = [] + errors = validate_report(curve_measurement, canonical=True) + assert any( + "fixed-budget curve 256 record recall_at_1" in error + and "retrieved_ids and supporting_ids" in error + for error in errors + ) + + +def test_canonical_validator_derives_numeric_grounded_metrics_from_labels(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + + unlabeled = _complete_canonical_report(dataset, config) + unlabeled["metrics"]["grounded_f1"] = 0.75 + unlabeled["metrics"]["abstention_f1"] = 0.75 + errors = validate_report(unlabeled, canonical=True) + assert any( + "metrics.grounded_f1 requires labeled per-question grounded values" in error + and "unavailable reason" in error + for error in errors + ) + assert any( + "metrics.abstention_f1 requires labeled per-question abstained values" in error + and "unavailable reason" in error + for error in errors + ) + + measured = _complete_canonical_report(dataset, config) + measured["records"][0].update({ + "answerable": True, + "grounded": True, + "abstained": False, + }) + measured["metrics"]["grounded"] = { + "available": True, + **metrics.grounded_precision_recall_f1([True], [True]), + } + measured["metrics"]["abstention"] = { + "available": True, + **metrics.abstention_precision_recall_f1([False], [True]), + } + measured["metrics"]["grounded_f1"] = 1.0 + measured["metrics"]["abstention_f1"] = 1.0 + assert validate_report(measured, canonical=True) == [] + + bad_count = deepcopy(measured) + bad_count["metrics"]["grounded"]["n"] = 2 + errors = validate_report(bad_count, canonical=True) + assert ( + "canonical metrics.grounded.n must be recomputed from per-question labels" + in errors + ) + + measured["metrics"]["grounded_f1"] = 0.0 + errors = validate_report(measured, canonical=True) + assert ( + "canonical metrics.grounded_f1 must be recomputed from per-question labels" + in errors + ) + + +def test_canonical_validator_requires_pinned_reader_tokenizer_identity(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + estimated = deepcopy(valid) + estimated["records"][0]["context_token_method"] = "deterministic_estimate" + estimated["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0][ + "context_token_method" + ] = "deterministic_estimate" + errors = validate_report(estimated, canonical=True) + assert any( + "context_token_method=pinned_reader_content_tokenizer" in error + for error in errors + ) + assert any( + "fixed-budget curve 256 records require" in error + and "context_token_method=pinned_reader_content_tokenizer" in error + for error in errors + ) + + mismatched = deepcopy(valid) + mismatched["records"][0]["context_tokenizer_identity"] = "other/model@" + "e" * 40 + mismatched["records"][0]["usage"]["token_counter"] = "other/model@" + "e" * 40 + errors = validate_report(mismatched, canonical=True) + assert any("context_tokenizer_identity must match" in error for error in errors) + assert any("usage.token_counter must match" in error for error in errors) + + +def test_benchmark_cli_writes_canonical_json_and_checksum(tmp_path, capsys): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, + records=[question_record("q1")], git_commit="abc123", + ) + source = tmp_path / "source.json" + source.write_text(json.dumps(report), encoding="utf-8") + artifact = tmp_path / "artifact.json" + assert main(["--input", str(source), "--output", str(artifact)]) == 0 + assert artifact.exists() and artifact.with_name("artifact.json.sha256").exists() + assert "sha256" in capsys.readouterr().out + + +def test_exact_tokenizer_fallback_budget_curves_and_deterministic_cis(): + assert count_tokens("abc", CharacterTokenizer()) == {"tokens": 3, "method": "injected"} + assert count_tokens("one two")["method"] == "deterministic_estimate" + records = [ + {"category": "a", "supporting_ids": ["m1"], "chunks": [ + {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} + ]}, + {"category": "b", "supporting_ids": ["m2"], "chunks": [ + {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} + ]}, + ] + curve = fixed_budget_curve(records, [3, 6]) + assert curve[0]["recall"] == 0.5 + assert curve[1]["recall"] == 1.0 + def metric(rows): + return sum(row["value"] for row in rows) / len(rows) + ci_one = stratified_bootstrap_ci( + [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], + metric, iterations=40, seed=4, + ) + ci_two = stratified_bootstrap_ci( + [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], + metric, iterations=40, seed=4, + ) + assert ci_one == ci_two + paired = paired_bootstrap_ci([(1.0, 0.0), (0.0, 0.0)], iterations=40, seed=4) + assert paired["delta"] == 0.5 and paired["n"] == 2 diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index 2daa8577..c1fc9171 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -1,318 +1,318 @@ -from __future__ import annotations - -import ast -import hashlib -import json -import re -import xml.etree.ElementTree as ET -from pathlib import Path - - -from engraphis.core.schema import SCHEMA_VERSION - - -ROOT = Path(__file__).resolve().parents[1] - - -def _read(path: str) -> str: - return (ROOT / path).read_text(encoding="utf-8") - - - -def test_readme_long_description_uses_no_repository_relative_targets() -> None: - readme = _read("README.md") - destinations = re.findall( - r"!?\[[^\]]*\]\(([^) ]+)|(?:href|src)=\"([^\"]+)\"", - readme, - ) - flattened = [markdown or html for markdown, html in destinations] - relative = [ - destination - for destination in flattened - if not destination.startswith(("#", "https://", "http://")) - ] - assert not relative - - image_targets = [ - destination - for destination in flattened - if destination.endswith((".png", ".svg")) - ] - assert image_targets - assert all( - target.startswith( - "https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/main/" - ) - or target.startswith("https://img.shields.io/") - for target in image_targets - ) - -def test_canonical_offline_gate_tracks_ci() -> None: - agents = _read("AGENTS.md") - claude = _read("CLAUDE.md") - workflow = _read(".github/workflows/ci.yml") - required = ( - "ruff check .", - "python scripts/check_commercial_manifest.py", - "python scripts/externalize_dashboard_assets.py", - "python -m pytest", - "python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5", - "python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5", - "python -m eval.ablation", - "python -m eval.reinforcement", - "python -m eval.adversarial_memory_security", - "python -m eval.grounded", - "python -m eval.code_arm", - "pyright", - ) - - for command in required: - assert command in agents, f"AGENTS.md omits the canonical gate command: {command}" - assert command in workflow, f"CI omits the documented gate command: {command}" - - assert "Use the exact primary offline gate in `AGENTS.md` §1" in claude - assert "do not maintain a smaller duplicate here" in claude - - -def test_core_backend_imports_stay_behind_outer_composition_root() -> None: - violations: list[str] = [] - for path in sorted((ROOT / "engraphis" / "core").glob("*.py")): - tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path)) - for node in ast.walk(tree): - if not isinstance(node, ast.ImportFrom): - continue - module = node.module or "" - if module.startswith("engraphis.backends"): - violations.append(f"{path.relative_to(ROOT)} imports {module}") - assert not violations, violations - - factory = ast.parse(_read("engraphis/factory.py"), filename="engraphis/factory.py") - backend_modules = { - node.module - for node in ast.walk(factory) - if isinstance(node, ast.ImportFrom) - and (node.module or "").startswith("engraphis.backends") - } - assert backend_modules, "outer composition root no longer imports concrete backends" - package = _read("engraphis/__init__.py") - assert "configure_engine_factory(_default_memory_engine_factory)" in package - assert "create_memory_engine" in package - - for document in (_read("AGENTS.md"), _read("CLAUDE.md"), _read("README.md")): - normalized = " ".join(document.split()) - assert "engraphis/factory.py" in normalized - assert "outer composition root" in normalized - assert "core/engine.py" in normalized - - -def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: - """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v90.json" - registry_bytes = registry_path.read_bytes() - registry = json.loads(registry_bytes) - measurements = {run["id"]: run["result"] for run in registry["runs"]} - payload = measurements["offline-performance"] - readme = _read("README.md") - svg_text = _read("docs/images/context-efficiency.svg") - svg_root = ET.fromstring(svg_text) - namespace = {"svg": "http://www.w3.org/2000/svg"} - visible_labels = {"".join(node.itertext()).strip() - for node in svg_root.findall(".//svg:text", namespace)} - assert hashlib.sha256(registry_bytes).hexdigest()[:12] in visible_labels - description_node = svg_root.find("svg:desc", namespace) - assert description_node is not None - description = " ".join("".join(description_node.itertext()).lower().split()) - image = re.search( - r']+context-efficiency\.svg[^>]+alt="([^"]+)"', - readme, - flags=re.IGNORECASE, - ) - assert image is not None - alternative = " ".join(image.group(1).lower().split()) - - assert "registered deterministic fixtures" in alternative - assert "structure-aware chunks reduce retrieved context" in alternative - assert "retrieved-candidate quality is labeled separately" in alternative - assert "packed-context quality" in alternative - assert "both measured in the selected report" in alternative - assert "actual mcp transport and provider billing are not measured" in alternative - assert "740.3 to 214.3 tokens" in alternative - assert "162.2 to 42.4 tokens" in alternative - assert ( - f"{payload['compact_serialized_payload_tokens']:,} rather than " - f"{payload['full_serialized_payload_tokens']:,} tokens" - ) in alternative - - for evidence in ( - "artifact-driven local deterministic benchmark report", - "structure-aware chunks report 740.3 to 214.3 retrieved tokens per question", - "retrieved-candidate quality and packed-context quality are separate views", +from __future__ import annotations + +import ast +import hashlib +import json +import re +import xml.etree.ElementTree as ET +from pathlib import Path + + +from engraphis.core.schema import SCHEMA_VERSION + + +ROOT = Path(__file__).resolve().parents[1] + + +def _read(path: str) -> str: + return (ROOT / path).read_text(encoding="utf-8") + + + +def test_readme_long_description_uses_no_repository_relative_targets() -> None: + readme = _read("README.md") + destinations = re.findall( + r"!?\[[^\]]*\]\(([^) ]+)|(?:href|src)=\"([^\"]+)\"", + readme, + ) + flattened = [markdown or html for markdown, html in destinations] + relative = [ + destination + for destination in flattened + if not destination.startswith(("#", "https://", "http://")) + ] + assert not relative + + image_targets = [ + destination + for destination in flattened + if destination.endswith((".png", ".svg")) + ] + assert image_targets + assert all( + target.startswith( + "https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/main/" + ) + or target.startswith("https://img.shields.io/") + for target in image_targets + ) + +def test_canonical_offline_gate_tracks_ci() -> None: + agents = _read("AGENTS.md") + claude = _read("CLAUDE.md") + workflow = _read(".github/workflows/ci.yml") + required = ( + "ruff check .", + "python scripts/check_commercial_manifest.py", + "python scripts/externalize_dashboard_assets.py", + "python -m pytest", + "python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5", + "python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5", + "python -m eval.ablation", + "python -m eval.reinforcement", + "python -m eval.adversarial_memory_security", + "python -m eval.grounded", + "python -m eval.code_arm", + "pyright", + ) + + for command in required: + assert command in agents, f"AGENTS.md omits the canonical gate command: {command}" + assert command in workflow, f"CI omits the documented gate command: {command}" + + assert "Use the exact primary offline gate in `AGENTS.md` §1" in claude + assert "do not maintain a smaller duplicate here" in claude + + +def test_core_backend_imports_stay_behind_outer_composition_root() -> None: + violations: list[str] = [] + for path in sorted((ROOT / "engraphis" / "core").glob("*.py")): + tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path)) + for node in ast.walk(tree): + if not isinstance(node, ast.ImportFrom): + continue + module = node.module or "" + if module.startswith("engraphis.backends"): + violations.append(f"{path.relative_to(ROOT)} imports {module}") + assert not violations, violations + + factory = ast.parse(_read("engraphis/factory.py"), filename="engraphis/factory.py") + backend_modules = { + node.module + for node in ast.walk(factory) + if isinstance(node, ast.ImportFrom) + and (node.module or "").startswith("engraphis.backends") + } + assert backend_modules, "outer composition root no longer imports concrete backends" + package = _read("engraphis/__init__.py") + assert "configure_engine_factory(_default_memory_engine_factory)" in package + assert "create_memory_engine" in package + + for document in (_read("AGENTS.md"), _read("CLAUDE.md"), _read("README.md")): + normalized = " ".join(document.split()) + assert "engraphis/factory.py" in normalized + assert "outer composition root" in normalized + assert "core/engine.py" in normalized + + +def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: + """The current image and its alt text expose only current registered boundaries.""" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v102.json" + registry_bytes = registry_path.read_bytes() + registry = json.loads(registry_bytes) + measurements = {run["id"]: run["result"] for run in registry["runs"]} + payload = measurements["offline-performance"] + readme = _read("README.md") + svg_text = _read("docs/images/context-efficiency.svg") + svg_root = ET.fromstring(svg_text) + namespace = {"svg": "http://www.w3.org/2000/svg"} + visible_labels = {"".join(node.itertext()).strip() + for node in svg_root.findall(".//svg:text", namespace)} + assert hashlib.sha256(registry_bytes).hexdigest()[:12] in visible_labels + description_node = svg_root.find("svg:desc", namespace) + assert description_node is not None + description = " ".join("".join(description_node.itertext()).lower().split()) + image = re.search( + r']+context-efficiency\.svg[^>]+alt="([^"]+)"', + readme, + flags=re.IGNORECASE, + ) + assert image is not None + alternative = " ".join(image.group(1).lower().split()) + + assert "registered deterministic fixtures" in alternative + assert "structure-aware chunks reduce retrieved context" in alternative + assert "retrieved-candidate quality is labeled separately" in alternative + assert "packed-context quality" in alternative + assert "both measured in the selected report" in alternative + assert "actual mcp transport and provider billing are not measured" in alternative + assert "740.3 to 214.3 tokens" in alternative + assert "162.2 to 42.4 tokens" in alternative + assert ( + f"{payload['compact_serialized_payload_tokens']:,} rather than " + f"{payload['full_serialized_payload_tokens']:,} tokens" + ) in alternative + + for evidence in ( + "artifact-driven local deterministic benchmark report", + "structure-aware chunks report 740.3 to 214.3 retrieved tokens per question", + "retrieved-candidate quality and packed-context quality are separate views", f"{payload['full_serialized_payload_tokens']:,} full-proxy versus " f"{payload['compact_serialized_payload_tokens']:,} compact-proxy tokens", - "not an mcp transport measurement", - "does not measure provider billing", - "1,500-token cap", - ): - assert evidence in description - - for unsupported in ("unpinned", "noncanonical", "leaderboard"): - assert unsupported not in alternative - assert unsupported not in description - - for retired in ("local locomo diagnostic", "3 of 15 queries", "0 of 3 to 3 of 3"): - assert retired not in alternative - assert retired not in description - - -def test_official_longmemeval_runbook_tracks_attested_evidence_contract() -> None: - benchmarks = _read("BENCHMARKS.md") - runbook = _read("docs/PUBLIC_BENCHMARK_RUNBOOK.md") - normalized_benchmarks = " ".join(benchmarks.split()) - normalized_runbook = " ".join(runbook.split()) - - for value in ( - "balanced", - "planner", - "episodic_cap_2", - "planner_episodic_cap_2", - "context_k_2", - "planner_context_k_2", - ): - assert value in runbook - assert "30 official runs" in runbook - assert "six declared variants at all five token budgets" in normalized_benchmarks - assert "context_k=2" in runbook - - for option in ( - "--engraphis-execution-manifest", - "--engraphis-per-question", - "--engraphis-questions", - "--engraphis-haystack", - "--engraphis-trajectories", - "--engraphis-memory-config", - "--engraphis-matrix-manifest", - "--engraphis-seed", - "--execution-manifest", - "--claims-input", - ): - assert option in runbook - assert "set equality between every source question ID and output question ID" in runbook - assert "only after a successful return" in normalized_benchmarks.lower() - assert "inserted and retrieved counts by memory type" in normalized_runbook - assert "at least two inserted memory types" in normalized_runbook - - assert "does not publish per-record content fingerprints" in normalized_benchmarks - assert "whole-input/source-file digests" in normalized_runbook - assert "no raw questions, answers, prompts, context" in normalized_runbook - assert "no per-record content hashes or fingerprints" in normalized_runbook - - -def test_scope_and_event_guidance_match_fail_closed_runtime_contract() -> None: - readme = _read("README.md") - skill = _read("skills/engraphis-memory/SKILL.md") - scoping = _read("skills/engraphis-memory/references/SCOPING.md") - conventions = _read("skills/engraphis-memory/references/CONVENTIONS.md") - tools = _read("skills/engraphis-memory/references/TOOLS.md") - kilo = _read("docs/KILO_CODE_INTEGRATION.md") - - for document in (readme, skill, scoping, tools, kilo): - normalized = " ".join(document.split()) - assert "reserved and rejected" in normalized - assert "owner identity" in normalized - - for document in (conventions, tools): - normalized = " ".join(document.lower().split()) - assert "event rows are not memories" in normalized - assert "not recalled" in normalized - assert "not" in normalized and "consolidated" in normalized - - assert 'mtype="episodic"' in conventions - assert "≤0.2" in conventions - - -def test_configuration_and_recovery_guidance_matches_public_contracts() -> None: - readme = _read("README.md") - security = _read("SECURITY.md") - connect = _read("docs/AGENT_CONNECT.md") - providers = _read("docs/LLM_PROVIDERS.md") - recovery = _read("docs/RECALL_RECOVERY.md") - sync = _read("docs/SYNC.md") - - for document in (readme, security, connect, providers, sync): - normalized = " ".join(document.split()) - assert "~/.engraphis/config.env" in normalized - assert "ENGRAPHIS_ENV_FILE" in normalized - assert re.search(r"(?:never|does not) search(?:es)? the working directory", normalized) - - assert "repaired_fields" in recovery - assert "v1_memory_id" in recovery - assert "v1_thought_id" in recovery - assert "v1_document_id" in recovery - assert "first contact" in sync - assert "incomplete" in sync - assert "unanchored" in sync - assert "--relay-token" in sync and "--relay-e2ee-key" in sync - assert "intentionally has no secret-valued" in sync - - - -def test_schema_and_erasure_docs_match_live_export_policy() -> None: - agents = _read("AGENTS.md") - readme = _read("README.md") - changelog = _read("CHANGELOG.md") - sync = _read("docs/SYNC.md") - erasure = _read("docs/SECURE_ERASURE.md") - schema = _read("engraphis/core/schema.py") - - assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in schema - assert agents.count(f"`SCHEMA_VERSION = {SCHEMA_VERSION}`") == 2 - assert f"schema {SCHEMA_VERSION}" in readme - assert f"schema {SCHEMA_VERSION}" in changelog - - for document in (agents, readme, changelog, sync, erasure): - normalized = " ".join(document.split()) - assert "never_export" in normalized - assert "remote_erasure" in normalized - - normalized_sync = " ".join(sync.split()) - assert "only `remote_erasure`" in normalized_sync - assert "never leave the device" in normalized_sync - assert "cannot later be upgraded" in normalized_sync - assert "only a non-secret workspace/repo record" in erasure - - -def test_document_import_docs_describe_the_source_neutral_contract() -> None: - readme = _read("README.md") - agents = _read("AGENTS.md") - guide = _read("docs/DOCUMENT_IMPORT.md") - obsidian = _read("docs/OBSIDIAN_IMPORT.md") - - for document in (readme, guide): - assert "engraphis import documents" in document - assert "--dry-run" in document - assert "--yes" in document - for format_name in ( - "Markdown", "reStructuredText", "HTML", "JSON", "CSV", "DOCX", "ODT", - "RTF", "XLSX", "ODS", "PPTX", "ODP", "EPUB", "Source code", - ): - assert format_name in guide - for safety_term in ("symlink", "secret", "unsupported", "resumable", "temporal", "conflict"): - assert safety_term in guide - assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in agents - assert "source-neutral" in agents - assert "rich Markdown adapter" in obsidian - assert "DOCUMENT_IMPORT.md" in obsidian - - -def test_consolidation_docs_expose_only_live_public_options() -> None: - readme = _read("README.md") - tools = _read("skills/engraphis-memory/references/TOOLS.md") - changelog = _read("CHANGELOG.md") - - for document in (readme, tools, changelog): - assert "supersede_sources" not in document - assert "supersede-sources" not in document - - assert "source episodes remain live" in readme - normalized_tools = " ".join(tools.split()) - assert "`profiles (bool, false)`; `structured (bool, false)`." in normalized_tools + "not an mcp transport measurement", + "does not measure provider billing", + "1,500-token cap", + ): + assert evidence in description + + for unsupported in ("unpinned", "noncanonical", "leaderboard"): + assert unsupported not in alternative + assert unsupported not in description + + for retired in ("local locomo diagnostic", "3 of 15 queries", "0 of 3 to 3 of 3"): + assert retired not in alternative + assert retired not in description + + +def test_official_longmemeval_runbook_tracks_attested_evidence_contract() -> None: + benchmarks = _read("BENCHMARKS.md") + runbook = _read("docs/PUBLIC_BENCHMARK_RUNBOOK.md") + normalized_benchmarks = " ".join(benchmarks.split()) + normalized_runbook = " ".join(runbook.split()) + + for value in ( + "balanced", + "planner", + "episodic_cap_2", + "planner_episodic_cap_2", + "context_k_2", + "planner_context_k_2", + ): + assert value in runbook + assert "30 official runs" in runbook + assert "six declared variants at all five token budgets" in normalized_benchmarks + assert "context_k=2" in runbook + + for option in ( + "--engraphis-execution-manifest", + "--engraphis-per-question", + "--engraphis-questions", + "--engraphis-haystack", + "--engraphis-trajectories", + "--engraphis-memory-config", + "--engraphis-matrix-manifest", + "--engraphis-seed", + "--execution-manifest", + "--claims-input", + ): + assert option in runbook + assert "set equality between every source question ID and output question ID" in runbook + assert "only after a successful return" in normalized_benchmarks.lower() + assert "inserted and retrieved counts by memory type" in normalized_runbook + assert "at least two inserted memory types" in normalized_runbook + + assert "does not publish per-record content fingerprints" in normalized_benchmarks + assert "whole-input/source-file digests" in normalized_runbook + assert "no raw questions, answers, prompts, context" in normalized_runbook + assert "no per-record content hashes or fingerprints" in normalized_runbook + + +def test_scope_and_event_guidance_match_fail_closed_runtime_contract() -> None: + readme = _read("README.md") + skill = _read("skills/engraphis-memory/SKILL.md") + scoping = _read("skills/engraphis-memory/references/SCOPING.md") + conventions = _read("skills/engraphis-memory/references/CONVENTIONS.md") + tools = _read("skills/engraphis-memory/references/TOOLS.md") + kilo = _read("docs/KILO_CODE_INTEGRATION.md") + + for document in (readme, skill, scoping, tools, kilo): + normalized = " ".join(document.split()) + assert "reserved and rejected" in normalized + assert "owner identity" in normalized + + for document in (conventions, tools): + normalized = " ".join(document.lower().split()) + assert "event rows are not memories" in normalized + assert "not recalled" in normalized + assert "not" in normalized and "consolidated" in normalized + + assert 'mtype="episodic"' in conventions + assert "≤0.2" in conventions + + +def test_configuration_and_recovery_guidance_matches_public_contracts() -> None: + readme = _read("README.md") + security = _read("SECURITY.md") + connect = _read("docs/AGENT_CONNECT.md") + providers = _read("docs/LLM_PROVIDERS.md") + recovery = _read("docs/RECALL_RECOVERY.md") + sync = _read("docs/SYNC.md") + + for document in (readme, security, connect, providers, sync): + normalized = " ".join(document.split()) + assert "~/.engraphis/config.env" in normalized + assert "ENGRAPHIS_ENV_FILE" in normalized + assert re.search(r"(?:never|does not) search(?:es)? the working directory", normalized) + + assert "repaired_fields" in recovery + assert "v1_memory_id" in recovery + assert "v1_thought_id" in recovery + assert "v1_document_id" in recovery + assert "first contact" in sync + assert "incomplete" in sync + assert "unanchored" in sync + assert "--relay-token" in sync and "--relay-e2ee-key" in sync + assert "intentionally has no secret-valued" in sync + + + +def test_schema_and_erasure_docs_match_live_export_policy() -> None: + agents = _read("AGENTS.md") + readme = _read("README.md") + changelog = _read("CHANGELOG.md") + sync = _read("docs/SYNC.md") + erasure = _read("docs/SECURE_ERASURE.md") + schema = _read("engraphis/core/schema.py") + + assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in schema + assert agents.count(f"`SCHEMA_VERSION = {SCHEMA_VERSION}`") == 2 + assert f"schema {SCHEMA_VERSION}" in readme + assert f"schema {SCHEMA_VERSION}" in changelog + + for document in (agents, readme, changelog, sync, erasure): + normalized = " ".join(document.split()) + assert "never_export" in normalized + assert "remote_erasure" in normalized + + normalized_sync = " ".join(sync.split()) + assert "only `remote_erasure`" in normalized_sync + assert "never leave the device" in normalized_sync + assert "cannot later be upgraded" in normalized_sync + assert "only a non-secret workspace/repo record" in erasure + + +def test_document_import_docs_describe_the_source_neutral_contract() -> None: + readme = _read("README.md") + agents = _read("AGENTS.md") + guide = _read("docs/DOCUMENT_IMPORT.md") + obsidian = _read("docs/OBSIDIAN_IMPORT.md") + + for document in (readme, guide): + assert "engraphis import documents" in document + assert "--dry-run" in document + assert "--yes" in document + for format_name in ( + "Markdown", "reStructuredText", "HTML", "JSON", "CSV", "DOCX", "ODT", + "RTF", "XLSX", "ODS", "PPTX", "ODP", "EPUB", "Source code", + ): + assert format_name in guide + for safety_term in ("symlink", "secret", "unsupported", "resumable", "temporal", "conflict"): + assert safety_term in guide + assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in agents + assert "source-neutral" in agents + assert "rich Markdown adapter" in obsidian + assert "DOCUMENT_IMPORT.md" in obsidian + + +def test_consolidation_docs_expose_only_live_public_options() -> None: + readme = _read("README.md") + tools = _read("skills/engraphis-memory/references/TOOLS.md") + changelog = _read("CHANGELOG.md") + + for document in (readme, tools, changelog): + assert "supersede_sources" not in document + assert "supersede-sources" not in document + + assert "source episodes remain live" in readme + normalized_tools = " ".join(tools.split()) + assert "`profiles (bool, false)`; `structured (bool, false)`." in normalized_tools diff --git a/tests/test_relocation_protocol.py b/tests/test_relocation_protocol.py new file mode 100644 index 00000000..57e295c1 --- /dev/null +++ b/tests/test_relocation_protocol.py @@ -0,0 +1,234 @@ +"""Relocation policy runs without SQL; canonical persistence retains its bounds.""" +import ast +import copy +import inspect +import json + +import pytest + +from engraphis.core import relocation +from engraphis.core.interfaces import ( + MemoryRecord, + MovePlan, + RelocationDependencies, + RelocationHistory, + RelocationSessionHistory, + RelocationStore, + Scope, +) +from engraphis.core.store import Store + + +class MemoryRelocationStore: + """Independent domain adapter: dictionaries only, deliberately no connection.""" + + def __init__(self): + self.records = { + "mem_old": MemoryRecord( + id="mem_old", content="Earlier deployment guidance.", workspace_id="source", + scope=Scope.WORKSPACE, session_id="session", valid_to=1.0, + ), + "mem_new": MemoryRecord( + id="mem_new", content="Current deployment guidance.", workspace_id="source", + scope=Scope.WORKSPACE, session_id="session", metadata={"supersedes": ["mem_old"]}, + ), + } + self.session = { + "id": "session", "workspace_id": "source", "repo_id": None, + "status": "summarized", "handoff": json.dumps({"refs": ["mem_old", "mem_new"]}), + } + self.events = [{ + "id": "event", "workspace_id": "source", "repo_id": None, + "session_id": "session", "refs": json.dumps(["mem_new"]), + }] + self.ownership = [{"id": "source", "settings": "{}"}, {"id": "target", "settings": "{}"}] + self.applied = [] + + @staticmethod + def _bounded(rows, limit): + if len(rows) > limit: + raise ValueError("review limit") + return copy.deepcopy(rows) + + def get_memory(self, memory_id): + return copy.deepcopy(self.records.get(memory_id)) + + def relocation_dependencies(self, workspace_id, *, limit): + return RelocationDependencies(memories=self._bounded([ + {"id": record.id, "repo_id": record.repo_id, "session_id": record.session_id, + "metadata": json.dumps(record.metadata), "provenance": json.dumps(record.provenance)} + for record in self.records.values() if record.workspace_id == workspace_id + ], limit)) + + def relocation_history(self, memory_ids, *, limit): + return RelocationHistory(attachments={ + "memory_sync_exports": [], "memory_tombstones": [], + "source_imports": [], "code_memory_links": [], + }) + + def relocation_session_history(self, session_id, *, limit): + return RelocationSessionHistory( + session=copy.deepcopy(self.session) if session_id == self.session["id"] else None, + events=self._bounded([event for event in self.events if event["session_id"] == session_id], limit), + ) + + def relocation_workspace_events(self, workspace_id, *, limit): + return self._bounded([event for event in self.events if event["workspace_id"] == workspace_id], limit) + + def relocation_entity(self, entity_id): + return None + + def relocation_repo(self, repo_id): + return None + + def relocation_repo_named(self, workspace_id, name): + return None + + def relocation_entity_named(self, workspace_id, repo_id, name, etype): + return None + + def relocation_canonical_entity(self, workspace_id, repo_id, normalized_name, etype): + return None + + def relocation_edge_conflict(self, workspace_id, repo_id, src, dst, relation, layer): + return None + + def relocation_claim_conflict(self, workspace_id, repo_id, record): + return None + + def relocation_operation_exists(self, workspace_id, operation_id): + return False + + def relocation_ownership(self, source_id, target_id, *, limit): + return self._bounded(self.ownership, limit) + + def apply_memory_move(self, plan, *, actor): + self.applied.append((plan, actor)) + for record in plan.records: + self.records[record.id].workspace_id = plan.target_id + self.session["workspace_id"] = plan.target_id + for event in self.events: + if event["id"] in {row["id"] for row in plan.events}: + event["workspace_id"] = plan.target_id + + +def test_planning_and_apply_use_domain_operations_without_a_connection(): + store = MemoryRelocationStore() + assert isinstance(store, RelocationStore) + assert not hasattr(store, "conn") + before = copy.deepcopy(store.records) + plan = relocation.prepare_move(store, "source", "target", ["mem_old"]) + assert not plan.blockers + assert {record.id for record in plan.records} == {"mem_old", "mem_new"} + assert plan.sessions == [store.session] and plan.events == store.events + assert plan.public("Source", "Target")["related_count"] == 1 + assert store.records == before and store.applied == [] + assert relocation.prepare_move(store, "source", "target", ["mem_old"]).preview_token == plan.preview_token + relocation.apply_move(store, plan, actor="reviewer") + assert store.applied == [(plan, "reviewer")] + assert {record.workspace_id for record in store.records.values()} == {"target"} + assert store.records["mem_old"].valid_to == before["mem_old"].valid_to + assert store.records["mem_new"].metadata == before["mem_new"].metadata + + +@pytest.mark.parametrize("change", ["content", "ownership", "incoming_event"]) +def test_portable_preview_binds_record_authority_and_incoming_history(change): + store = MemoryRelocationStore() + token = relocation.prepare_move(store, "source", "target", ["mem_old"]).preview_token + if change == "content": + store.records["mem_new"].content = "A changed instruction." + elif change == "ownership": + store.ownership[1]["settings"] = json.dumps({"visibility": "personal"}) + else: + store.events.append({ + "id": "outside", "workspace_id": "source", "repo_id": None, + "session_id": None, "refs": json.dumps(["mem_old"]), + }) + refreshed = relocation.prepare_move(store, "source", "target", ["mem_old"]) + assert refreshed.preview_token != token + if change == "incoming_event": + assert "external_events" in {blocker["code"] for blocker in refreshed.blockers} + assert store.applied == [] + + +@pytest.mark.parametrize("blocker", ["active_session", "synced_memory", "external_history"]) +def test_portable_blockers_refuse_before_the_writer(blocker): + store = MemoryRelocationStore() + if blocker == "active_session": + store.session["status"] = "active" + elif blocker == "synced_memory": + store.records["mem_old"].metadata = {"synced_from_device": "peer"} + else: + store.records["mem_new"].metadata["corrects"] = "mem_external" + plan = relocation.prepare_move(store, "source", "target", ["mem_old"]) + assert blocker in {item["code"] for item in plan.blockers} + with pytest.raises(ValueError, match="preview blockers"): + relocation.apply_move(store, plan, actor="reviewer") + assert store.applied == [] + assert {record.workspace_id for record in store.records.values()} == {"source"} + + +def test_relocation_module_keeps_storage_api_and_sql_out_of_policy(): + tree = ast.parse(inspect.getsource(relocation)) + assert relocation.RelocationStore is RelocationStore + assert "conn" not in RelocationStore.__annotations__ + assert not [node.attr for node in ast.walk(tree) if isinstance(node, ast.Attribute) + and node.attr in {"conn", "execute", "executemany", "fetchone", "fetchall", "fetchmany"}] + assert not [node.value for node in ast.walk(tree) if isinstance(node, ast.Constant) + and isinstance(node.value, str) + and node.value.lstrip().upper().startswith(("SELECT ", "INSERT ", "UPDATE ", "DELETE "))] + + +@pytest.fixture +def sqlite_store(): + store = Store(":memory:") + assert isinstance(store, RelocationStore) + source = store.get_or_create_workspace("source") + target = store.get_or_create_workspace("target") + yield store, source, target + store.close() + + +def test_canonical_scan_refuses_overflow_before_materializing_the_whole_result(sqlite_store, monkeypatch): + store, source, _ = sqlite_store + for index in range(10): + store.add_memory(MemoryRecord(id=f"mem_{index}", content=f"Rule {index}", workspace_id=source)) + materialized_counts = [] + original = type(store.conn).execute + + def measured_execute(connection, *args, **kwargs): + cursor = original(connection, *args, **kwargs) + materialized_counts.append(len(cursor._rows)) + return cursor + + monkeypatch.setattr(type(store.conn), "execute", measured_execute) + with pytest.raises(ValueError, match="review limit"): + store.relocation_dependencies(source, limit=2) + assert materialized_counts == [3] + assert len(store.relocation_dependencies(source, limit=10).memories) == 10 + + +def test_canonical_apply_requires_and_does_not_commit_the_callers_transaction(sqlite_store): + store, source, target = sqlite_store + mid = store.add_memory(MemoryRecord(id="mem_local", content="Keep history", workspace_id=source)) + plan = relocation.prepare_move(store, source, target, [mid]) + before = store.get_memory(mid) + with pytest.raises(RuntimeError, match="caller-owned write transaction"): + store.apply_memory_move(plan, actor="reviewer") + assert store.get_memory(mid) == before + store.conn.execute("BEGIN IMMEDIATE") + store.apply_memory_move(plan, actor="reviewer") + assert store.conn.transaction_owned_by_current_thread() + assert store.get_memory(mid).workspace_id == target + store.conn.rollback() + assert store.get_memory(mid) == before + assert store.conn.execute("SELECT 1 FROM audit WHERE action='workspace_move'").fetchone() is None + assert store.conn.execute("SELECT 1 FROM graph_index_state").fetchone() is None + + +def test_canonical_writer_also_refuses_blocked_plans(sqlite_store): + store, source, target = sqlite_store + plan = MovePlan(source, target, []) + plan.block("external_history", "The related history is incomplete.") + with store.write_transaction(), pytest.raises(ValueError, match="preview blockers"): + store.apply_memory_move(plan, actor="reviewer") From 69f427e166343bba5e8e417e60cd2f6673ab745b Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:29:25 -0400 Subject: [PATCH 41/64] Preserve existing line endings in evidence documentation --- BENCHMARKS.md | 996 +++---- CHANGELOG.md | 3740 ++++++++++++------------- README.md | 1856 ++++++------ tests/test_benchmark_evidence.py | 2564 ++++++++--------- tests/test_documentation_contracts.py | 636 ++--- 5 files changed, 4896 insertions(+), 4896 deletions(-) diff --git a/BENCHMARKS.md b/BENCHMARKS.md index c5636590..57370609 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -1,498 +1,498 @@ -# Benchmarks - -This guide explains what Engraphis measures, how to reproduce each evaluation, and the limits of -those results. When this document and the code disagree, the code is the source of truth. - -The current expansion has a separate [results and workload report](docs/BENCHMARK_EXPANSION_RESULTS.md), -[execution runbook](docs/BENCHMARK_EXPANSION_RUNBOOK.md), and -[proposed stage budgets](docs/BENCHMARK_STAGE_BUDGETS.md). Completed external retrieval diagnostics -are review artifacts with explicit denominators and uncertainty. The coding pilot uses Codex -OAuth only and retains fixture exclusions and interrupted calls. Official QA, competitor -scores and capacity qualification remain separate experiments. - -For the locked operator sequence for a public canonical run, see -[`docs/PUBLIC_BENCHMARK_RUNBOOK.md`](docs/PUBLIC_BENCHMARK_RUNBOOK.md). - -The current measured improvement priorities and their evidence boundaries are in -[`docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md`](docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md). -The implementation exposes three opt-in comparison controls: `packing_mode="coverage"` -for complete evidence units across sources, source-bound `exact_value` fields on the -Smart/Classic/service write paths, and `retrieval_recipe="conversation"` or `"long_session"` -for the measured depth/budget starting points. `"legacy"` packing and `"default"` -retrieval remain the defaults until development, validation and untouched-holdout gates -show a workload-specific benefit. - -`python -m eval.evidence_contracts` checks exact-action validation and compares -legacy and coverage packing on small deterministic development fixtures. It runs -in the full offline CI matrix and the NumPy-only Python 3.9 job. These fixtures -test boundary correctness; they do not estimate external QA or model task success. The -[current diagnostic](docs/benchmark-evidence/evidence-contracts-20260921-v11.json) -withholds the unchanged oversized, unpunctuated fixture at its 24-token budget: -no fitting sentence boundary proves that the remaining condition text can be dropped. -The prior literal-preservation result remains in the historical artifact. Tight budgets -can therefore return fewer exact values under the complete-group contract. -Action contracts also require the host to supply the actual source text when creating -and validating a contract. The source revision digest and literal offsets must match; -four additional diagnostic cases reject forged or stale bindings. Authorization -remains the responsibility of the trusted host. -Eight fixed query-window cases also check that unrelated bound values cannot displace the -requested evidence. Their original retention expectations remain unchanged: 4/8 passed on -`0244c45f`, 8/8 on `c3a86295`, and 5/8 under the current complete-source rule. Three tight -bound-value cases now withhold their binding. A separate source-completeness gate checks -the same eight inputs, improving from 5/8 to 8/8, including roomy binding controls. -These development fixtures and their source hashes remain separate from external quality -measurements. - -Five safe-withholding cases improve from 0/5 against `65f4becd` to 5/5. A separate -five-case retention population exposes a tradeoff: the earlier v8 implementation -retained the expected literals in 5/5 cases, while the complete-unit rule retains -0/5 at those unchanged tight budgets. These unpunctuated records do not fit as -complete units. Their original inputs, expected literals and outcomes remain in -the diagnostic; safe omission is not counted as successful literal retention. - -Eight distant-restriction cases improve from 5/8 on `98e8f5c2` to 8/8, including -roomy retention controls. Exact binding now requires the complete meaningful source, -regardless of language or recognized qualifier words. Boundary whitespace may be trimmed -only outside the literal. Coverage withholds the bound occurrence when that source cannot -fit, while it may still select other unbound evidence. This also prevents -`Only use ALPHA in production` from becoming `Only use ALPHA`. Complete-unit safety -remains 16/16 against 8/16 on `98e8f5c2` in its separate diagnostic and CI gate. -Headers, titles and source attribution remain inside the budget; expansion cannot restore -an incomplete binding. This conservative rule retains source text without inferring its -meaning or authorizing a downstream action. - -The default legacy packer also withholds exact binding metadata when its selected -excerpt omits part of the complete source. Eight fixed cases improve -from 4/8 on `833e3e92` to 8/8: four incomplete bindings are suppressed and four -complete bindings remain. All eight retain identical context text and token -accounting. The literal can still appear as ordinary text; this diagnostic measures -binding safety, not a retrieval or answer-quality gain. - -Twelve additional French, Chinese and English-synonym cases exercise both modes at fixed -budgets. Against `c3a86295`, the complete binding contract improves from 10/12 to 12/12 -for legacy and from 5/12 to 12/12 for coverage. Unsafe bindings fall from two to zero -and seven to zero, respectively. Coverage literal leaks fall from seven to zero; all five -roomy controls retain their exact bindings in both modes. Independent token accounting -matches the rendered context and all budgets are honored. The gate separately rejects -omitted roomy bindings, incorrect spans and token-accounting errors. This is a fixed -development population, not a claim of general multilingual understanding. - -Corpus replay rejects non-boolean trust and answerability labels before execution. -Direct campaign records also require boolean trust labels and reject contradictory -nested trust metadata. Peer evidence IDs must name a recorded source; returned -backend IDs must agree with that source or resolve through recorded episode lineage. -Frozen campaign scope and trust take precedence over peer labels, and unrecognized labels -remain unknown. Core/service recall results report the recipe's effective output -limit as `effective_k`; recall receipts preserve it as `metadata.k` together with -`retrieval_recipe` and normalized `packing_mode`, independently of the number of -results actually returned. Historical receipts without a mode remain valid and -do not acquire an inferred value. -Campaign adapters report the frozen manifest's evaluated revision; direct adapters -retain `unknown` provenance unless explicitly bound. These checks protect result -interpretation and do not count as additional benchmark-quality gains. - -### Public numeric evidence registry - -Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v102.json`](docs/benchmark-evidence/offline-fixtures-v102.json) artifact. Its -SHA-256 is -`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`, also recorded in the -adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, -or per-record content fingerprints. - -The fixture-suite digest is -`f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3`. The artifact defines -the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID -also binds its exact command through `sha256(UTF-8 exact command)`: - -| Evidence ID | Exact command | Config digest | -|---|---|---| -| `offline-chunking` | `python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5` | `c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8` | -| `offline-performance` | `python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json` | `bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7` | -| `offline-grounded` | `python -m eval.grounded` | `590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f` | - -External, model-dependent, latency, consolidation, and productivity numbers are not included in -this offline registry unless a redacted immutable artifact with the same three bindings exists. Use -the [public benchmark runbook](docs/PUBLIC_BENCHMARK_RUNBOOK.md) to produce registry evidence. -Completed retrieval-only diagnostics are documented separately in the -[benchmark expansion results](docs/BENCHMARK_EXPANSION_RESULTS.md); absence from this registry -means no number is claimed in this offline registry. - -The context-efficiency chart is generated from the registry values and the selected report schema. -Historical LoCoMo, graph, handoff, consolidation, and security figures remain preserved in their -source artifacts but are omitted from the current chart until each has a matching immutable, -public-safe artifact. The chart labels coding outcomes, external datasets, and operational -capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/context-efficiency.svg` after selecting the report to publish. - -The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/evidence-backed-agent-examples.svg`. -The historical-to-executable mapping is in -[`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). - -Fresh diagnostics retain explicit source-case identities so confidence intervals -cluster whole conversations even when question IDs do not encode their case. -Metrics with no eligible questions remain `null` (unscored), including fresh and -resumed runs. Artifact parsing, checksum validation, and queue receipts bind the -same byte snapshot. Comparisons require consistent dataset and repair bindings -while allowing the producer implementation to change between versions. - -## What we measure today (all offline, no API key) - -Most Engraphis evals score **retrieval**, not end-to-end QA. The separate productivity benchmark -runs a complete offline agent attempt and correction loop, but it is not an official -frontier-model QA score. - -- **Correctness gate**: `eval/harness.py` over `eval/datasets/sample.jsonl` and - `codemem.jsonl` (conflict resolution) and `graph_multihop.jsonl` (multi-hop graph recall). - Runs on the deterministic embedder, so it is a plumbing/regression floor, not a public - performance claim. This is the gate CI enforces. -- **Ablation**: `eval/ablation.py`: vector-only vs. 1-hop graph vs. Personalized-PageRank arm, - to show the graph arm actually earns its place. -- **External benchmarks**: `eval/external.py` loads **LoCoMo** and **LongMemEval** and pushes - them through the *real* `MemoryEngine` write path (conflict resolution + evolution) and hybrid - recall with a real sentence-transformers embedder. It reports `recall_at_k` / `hit_at_k` / - `answer_token_recall`: i.e. *did the evidence come back*, not *did an LLM answer correctly*. - It retains source categories and abstention/no-evidence questions as explicit exclusions from - retrieval-only aggregates rather than silently dropping them. `eval.longmemeval_v2` is a local, - text-only adapter for the official LongMemEval-V2 `insert(trajectory)` / `query(query, - query_image=None)` memory interface; it does not download data or call a model. -- **Grounded**: `eval/grounded.py`: answerable → cite, off-topic → abstain. Exact fixture - outcomes are evidence ID `offline-grounded` in the registry above. -- **Chunking (quality per token)**: `eval/chunking_eval.py` over `eval/datasets/longdoc.jsonl` - ingests a multi-topic corpus twice: once as one memory per document (`whole`) and once with - sub-file `ChunkingExtractor` (`chunked`), then queries both through the real recall pipeline. - The checked-in corpus is explicitly marked trusted eval data so the measurement isolates - chunking from the production trust gate, which excludes arbitrary raw imports from normal - agent context. On the deterministic embedder, **recall@5 is 1.000 for both modes; mean - retrieved top-5 content falls from 740.3 to 214.3 tokens (526.0 fewer, 71.1% lower, about - 3.5× smaller), while the smallest returned evidence-holding memory falls from 162.2 to 42.4 - tokens (119.8 fewer, 73.9% lower, about 3.8× smaller).** These aggregates are evidence ID - `offline-chunking` in the registry above. Pass `--embed-model - sentence-transformers/all-MiniLM-L6-v2` to run a model-dependent experiment; do not publish - that result without a new immutable artifact and pinned model revision. -- **Full-pipeline latency + quality**: `eval/performance.py` times the shipped semantic + - lexical + graph + fusion + scoring + rerank + packing path after warmup, with reinforcement - disabled so repeated measurements do not mutate their corpus. It reports p50/p95/p99 latency, - retrieval quality, packed context tokens, and full/compact JSON-shape payload proxies in one - JSON-safe schema. Its legacy `quality` fields score all candidate chunks returned before - context packing; additive `packed_quality` fields score only chunks admitted to reader context. - Payload proxies are sampled once per question, independently of the number of timed iterations; - they are not serialized MCP envelopes or transport responses. In the - registered CodeMem run, 26 payload samples total **24,590** full-proxy - `engraphis.regex.v1` tokens versus **11,138** compact-proxy tokens, avoiding **13,452** proxy - tokens (**54.71% lower**), while 260 recalls are timed. Packed context across the same 26 - samples averages **85.38** tokens and reaches **108** under a 1,500-token cap; Recall@5, - hit@5, and answer-token recall remain 1.000 for the legacy candidate-page view. The registered - v9 artifact predates `packed_quality`, so no packed-quality aggregate is published from it. - These aggregates are evidence ID - `offline-performance` in the registry above. `--filler-memories`, `--candidate-k`, and - `--retrieval-profile` make scaling and routing experiments executable, but their results need - separate evidence before publication. -- **Exact vector scale envelope**: `eval/vector_scale.py` measures the production - `NumpyVectorIndex` directly at requested corpus sizes with deterministic normalized vectors and - queries. It records a corpus fingerprint, result hashes, environment, and observed - p50/p95/p99 search envelopes. It intentionally has no pass/fail latency threshold: the output - describes the measured machine and workload, not a universal capacity cutoff. Pair it with - `eval/performance.py` before making a deployment decision because direct vector search excludes - the rest of the recall pipeline. Its `engraphis-vector-scale/v1` JSON is a local diagnostic, not - an `engraphis-benchmark/v2` public evidence artifact. -- **Proactive ranking calibration**: `eval/proactive_ranking.py` compares the previous and current - importance-retention floors on a small deterministic queryless-ranking fixture. It reports - top-1 accuracy and minimum expected margins for that fixture only. It is a scoring regression, - not evidence of general recall quality or user-task performance. -- **Workload context economy**: `eval/context_economy.py` compares three executable strategies - across every question in a workload: uncapped full-history replay, a contiguous recency window - at the same hard budget, and shipped Engraphis hybrid recall + packing. It reports evidence and - answer-token quality, cumulative reader-context tokens, a conservative total that charges one - complete source-token pass to indexing, and the query-count break-even point. The default is - deterministic/offline; `--embed-model` enables a real retrieval model, while - `--format locomo|longmemeval` reuses the established external loaders. -- **Agent productivity**: `eval/productivity.py` compares a capped full-history baseline, - always-on retrieval, and - adaptive context through a complete answer-and-correction loop. It reports completed tasks, - first-attempt errors, abstentions, corrections, agent turns, memory calls, wall-clock latency, - and all question/context/output tokens. The bundled agent is deterministic, receives no gold - answer, and is identified in every report; inject a real agent callable for model-specific - results. Optional provider telemetry is reported separately from the deterministic token - counter and is not a provider billing estimate. -- **Dashboard graph layout settle**: `eval/graph_every_bench.py` drives the Every-node - dashboard engine's real worker (`engraphis-graph-every-worker.js`) through a - `prepare → settled` round-trip over synthetic node/link loads and reports wall-clock settle - time plus the scaling ratio across sizes. It measures initial layout cost only: camera pans - and zooms never touch the worker (they are GPU-uniform updates), so no per-frame number can - come out of this harness and none should be quoted. Results are host- and Node-version - dependent local diagnostics, not registered public evidence; run the harness on the target - class of machine before quoting a figure. - -The context-economy and productivity tools intentionally report when a small workload does not -benefit from memory, and the external loaders expose retrieval-quality tradeoffs rather than -hiding them. Their prior local results are not retained as public numbers because no matching -redacted immutable artifact is checked in. Run the registered protocol and publish the resulting -artifact before making a quantitative claim. - -### Reproduce - -```bash -# Correctness gate (deterministic, no download) -python -m pytest tests/ -q -python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5 -python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5 -python -m eval.harness --dataset eval/datasets/graph_multihop.jsonl --k 5 -python -m eval.ablation -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ - --candidate-k 25 --candidate-depth adaptive --retrieval-profile auto --iterations 10 -python -m eval.context_economy --dataset eval/datasets/codemem.jsonl \ - --token-budget 512 --k 5 -python -m eval.productivity --dataset eval/datasets/codemem.jsonl \ - --max-context-tokens 512 --retrieval-token-budget 256 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ - --iterations 5 --filler-memories 1000 -# Direct NumPy search envelope at representative corpus sizes; timings are machine-specific. -python -m eval.vector_scale --sizes 1000,10000,100000 --queries 20 --iterations 3 --json -# Deterministic queryless-ranking calibration fixture. -python -m eval.proactive_ranking -# Canonical latency/resource protocol: requires >=1,000 queries and five processes. -python -m eval.performance --dataset fixed-1000-plus.jsonl --acceptance-matrix --processes 5 - -# External retrieval diagnostics (downloads all-MiniLM-L6-v2; not QA/leaderboard results) -python -m eval.external --dataset longmemeval_s.json --format longmemeval --k 10 -python -m eval.external --dataset locomo10.json --format locomo --k 10 -# Complete external-dataset coverage with an immutable embedding revision. These runs are -# retrieval-only diagnostics, not official benchmark-harness or leaderboard results. Completed -# public-safe artifacts and measured results are listed in the benchmark expansion report. -python -m eval.external --dataset longmemeval_s.json --format longmemeval --canonical \ - --embed-revision <40-character-model-commit> --json external-longmemeval.json -python -m eval.external --dataset locomo10.json --format locomo --canonical --no-resolve \ - --embed-revision <40-character-model-commit> \ - --locomo-repair-manifest eval/datasets/locomo10_repair_manifest.json \ - --json external-locomo.json -python -m eval.context_economy --dataset locomo10.json --format locomo \ - --embed-model sentence-transformers/all-MiniLM-L6-v2 --token-budget 512 --k 10 --no-resolve -``` - -Canonical external mode requires an exact lowercase 40-character embedding commit and a semantic -embedder; dependency or model-load failure is fatal instead of silently falling back to hashing. -Every report records `embedding`, `dataset_sha256`, `source_cases`, `normalized_cases`, and -`configuration` provenance so a result can be attributed to the actual data and retrieval setup. - -The official ten-conversation LoCoMo JSON contains delimiter-packed IDs, two mechanical ID -typos, and three references that cannot be normalized syntactically. The adapter normalizes only -the unambiguous forms. The checked-in repair manifest is bound to the official source SHA-256, -names every remaining replacement/removal, must be fully consumed, and is recorded in the JSON -report with its own hash. Any source update, unused repair, or unresolved ID fails the run. This -repairs retrieval references only; it does not claim to correct LoCoMo's semantic answer labels. - -The earlier private pinned retrieval diagnostic was the pre-publication state. Current complete -LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts in the -[benchmark expansion report](docs/BENCHMARK_EXPANSION_RESULTS.md), with source, model, configuration -and checksum boundaries. Those values remain evidence-retrieval metrics, not end-to-end QA accuracy -or an official LoCoMo leaderboard score. - -## What we do NOT yet claim - -- **No official end-to-end LLM QA accuracy.** The deterministic productivity agent measures the - complete local control loop, not a frontier answering model. Official LoCoMo / LongMemEval QA - still requires a pinned answering model and evaluator. -- **No hosted-service latency comparison.** The in-repo p50/p95/p99 benchmark covers the local - reference pipeline and records its environment; unlike environments are not compared. -- **No neutral third-party ranking.** We have not run an external eval platform. -- **No provider bill estimate.** Context-economy counts reader evidence under its named counter. - It excludes system/tool prompts, questions, completions, prompt caching, provider pricing, - compute, and storage. Its indexing-inclusive total is a conservative text-volume proxy. - -Every publishable run should emit the `engraphis-benchmark/v2` envelope: dataset/config hashes, -per-question records, explicit exclusions, fixed-budget context curves, and deterministic -stratified or paired bootstrap confidence intervals. Every run names its token counter. -Noncanonical offline fixtures may identify a deterministic estimate; canonical public evidence -requires the exact pinned reader tokenizer and immutable model revision. The lightweight CI -fixtures validate that machinery; they are not a claim about external benchmark performance. - -Public journey and external retrieval exports identify producer code by unique -repository-relative source names. Private dataset, conversation, repair, and -LongMemEval-V2 inputs use stable role names such as `inputs/dataset` or -`inputs/haystack`; their directories are never published. -Each name remains bound to its SHA-256 and byte count. The shared envelope keeps -basename-only defaults for other callers and historical artifacts; exporters opt in -with explicit `source_names` and verify the completed envelope against evaluated bytes. - -The benchmark context metric reads strict recall usage fields rather than inferring prompt size: -`budget_tokens`, `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, -`packed_count`, `omitted_count`, and `token_counter`. Use `engraphis_recall_context` for a -hard-budget prompt packet; legacy `engraphis_recall` remains available in full or compact response -mode for compatibility. - -### Canonical public artifacts - -Use `python -m eval.benchmark --input report.json --output artifacts/run.json` to validate a -report and write sorted, immutable JSON plus `run.json.sha256`. The command permits an identical -retry but refuses to replace a different artifact at the same path. For an official -LongMemEval-V2 run, add `--canonical`: this requires a profile with an exact benchmark repository -revision, dataset revision, reader model revision, and embedding model revision. The checked-in -profile pins immutable upstream commits; replacing any revision with a mutable tag fails -validation. Canonical profiles label the baseline (`no_retrieval`, `lexical_only`, `dense_only`, -`dense_lexical_rrf`, `full_hybrid`, `full_history`, `no_graph`, `no_reranker`, -`no_temporal_resolution`, or `whole_document`) and declare the required fixed context-budget -matrix: 256, 512, 1024, 2048, and 4096 tokens. Canonical in-repo reports rerun every question at -all five budgets and validate each aggregate against its per-question evidence. The checked-in -LongMemEval-V2 memory-module configuration sets the official adapter's operating point to 1,024 -tokens; that single official point must not be presented as a five-point curve. - -`eval.external --canonical` refuses `--limit` and rejects a normalized output that omitted source -cases. Retrieval-only abstention/no-evidence records remain visible in the artifact's -`exclusions`; they are not counted as evidence-retrieval scores. - -Official LongMemEval-V2 output can be converted into a public-safe QA artifact with -`python -m eval.longmemeval_v2_evidence`. The exporter requires the completion manifest written by -the pinned runner after a successful, complete official run. It binds the exact per-question -output, questions, haystack, trajectories, memory configuration, matrix manifest, seed, clean -official checkout, and recorded environment. The public artifact keeps the official QA score, -fixed-reader context token count, aggregate source-file digests, repository state, and artifact -checksum. It removes raw questions, answers, prompts, reader output, and retrieved context, and -does not publish per-record content fingerprints. See the -[`public benchmark runbook`](docs/PUBLIC_BENCHMARK_RUNBOOK.md) for the end-to-end operator sequence. - -### LongMemEval-V2 memory-module adapter - -`eval.longmemeval_v2.EngraphisLongMemEvalV2Memory` follows the official -`memory_modules.memory.Memory` interface at LongMemEval-V2 commit -`6f020ac2fc3275e46c706d3406e02c3ed79b7be2`. When imported in that environment, its -`@register_memory` decorator registers `memory_type="engraphis"`; use the checked-in -[`eval/configs/longmemeval_v2_engraphis.json`](eval/configs/longmemeval_v2_engraphis.json) -with the official harness. The config pins `Qwen/Qwen3-Embedding-8B` to revision -`1d8ad4ca9b3dd8059ad90a75d4983776a23d44af`; mutable embedding revisions are rejected, and a -canonical adapter run fails instead of relabeling the deterministic offline fallback as Qwen. -First materialize the six declared variants at all five token budgets: - -```bash -python -m eval.longmemeval_v2_matrix \ - --output "$ENGRAPHIS_EVIDENCE_RUN_DIR/configs" -``` - -This writes a 30-run manifest: balanced, planner, episodic-cap, planner-plus-episodic-cap, and -matched `context_k=2` comparators for both capped variants, each at 256, 512, 1,024, 2,048, and -4,096 evidence tokens. Run each manifest cell through `python -m eval.run_longmemeval_v2` with all -eight `--engraphis-*` completion-receipt arguments. The wrapper imports the adapter before the -official registry builds the memory module, forces the pinned reader processor revision, and -delegates the remaining official harness arguments unchanged. Only after a successful return does -it verify that the output question IDs exactly cover the source question IDs and write the -immutable execution manifest. - -The checked-in configuration is canonical only when the adapter resolves the pinned Qwen reader -processor at `c202236235762e1c871ad0ccb60c8ee5ba337b9a`. The wrapper refuses a dirty or non-pinned -official checkout and refuses to start if the optional processor dependency or immutable revision -is unavailable; the local regex counter is never silently relabeled as a reader budget. The -recorded budget counts each returned context item's content with that reader tokenizer (without -prompt framing or inter-item separators), so it is a hard **evidence-item content** budget, not a -claim about total chat-prompt tokens. Packed sources are returned as separate context items, -preserving the largest fitting evidence prefix instead of dropping one oversized monolithic item. -Every official per-question row reports inserted and retrieved counts by memory type. A -memory-type-cap claim additionally requires at least two populated inserted types, so a nominal cap -over a single-type workload cannot qualify as evidence. The adapter does not download benchmark -data or call the reader/evaluator; the official harness owns those steps. - -## External evidence status and remaining executions - -1. **Run the official LongMemEval-V2 reader and evaluator.** The adapter, pinned runner, and - redacted evidence exporter are implemented. The exact upstream commit boots in an isolated - Python 3.11 environment and the wrapper reaches the official harness CLI. The dataset, pinned - Qwen reader, and embedding assets require substantial storage and compute; no canonical QA - score is claimed until that run completes. -2. **Publish production-backend latency.** Run `eval/performance.py` with the real embedder and - sqlite-vec/backend configuration on a fixed machine class and corpus scale. -3. **Run the fixed-budget curve on the complete official datasets.** The v2 harness now measures - every question at 256, 512, 1,024, 2,048, and 4,096 evidence tokens and validates the - per-question records, aggregates, and pinned reader-tokenizer identity. Publish the curve only - after complete official runs produce immutable artifacts for every point. -4. **Run an external evaluation platform** once (1)–(3) exist. - -Do not make all evidence lanes variants of explicit factual recall. Executable offline adapters -now cover: - -- [MemoryAgentBench](https://github.com/HUST-AI-HYZ/MemoryAgentBench): incremental multi-turn - learning, long-range understanding, and conflict/consolidation inputs. -- [LoCoMo-Plus](https://github.com/xjtuleeyf/Locomo-Plus): an old implicit constraint must affect - a later response even when the later cue does not restate the remembered fact. -- [Mem2ActBench](https://github.com/Cantaloupe-M/Mem2ActBench): memory must select a tool and - ground its arguments, not merely return a passage. The current adapter measures retrieval and - expected tool-argument context coverage, not generated tool-call success. - -```bash -python -m eval.agent_benchmarks --dataset memoryagentbench.json \ - --format memoryagentbench -python -m eval.agent_benchmarks --dataset locomo_plus.json \ - --format locomo_plus -python -m eval.agent_benchmarks --dataset qa_dataset.jsonl \ - --conversations toolmem_conversation.jsonl --format mem2actbench \ - --artifact artifacts/mem2actbench.json -``` - -Use `--artifact` on any of these commands to write a redacted, immutable evidence envelope plus -an adjacent SHA256 file. The ordinary console/`--json` report is private run material and may -contain source questions for debugging. - -### Upstream-data diagnostics and publication scope - -The LoCoMo-Plus and MemoryAgentBench adapters have been exercised against upstream data and remain -queued for their own public-safe retrieval artifacts. Rerun each pending adapter with `--artifact`, -publish the redacted immutable envelope and checksum, and add its suite/config binding before -quoting a number. Mem2ActBench's declared small retrieval diagnostic is complete and has a checked-in -artifact; its exclusion and memory-cardinality figures are source-preparation metadata in the -public source lock, not product or action-success metrics. None of these lanes is an official -leaderboard, answer-quality, or marketing result. - -The MemoryAgentBench loader accepts both its aligned public JSON export and the Hugging Face -dataset-server `rows[].row` envelope. Rows without gold evidence remain useful for answer-token -coverage, but are excluded from retrieval aggregates and counted separately as -`retrieval_scored_questions`. - -For paired code-agent runs, execute the same tasks with the same model, tools, machine, and -deterministic success oracle under `full_history` and `engraphis`. Then analyze the content-free -run records with: - -```bash -python -m eval.code_agent_ab --full-history full-history.jsonl \ - --engraphis engraphis.jsonl --output paired-report.json -``` - -The analyzer rejects unmatched task IDs and different success oracles, then reports paired -bootstrap intervals for task success, input/output/tool tokens, retries, latency, and optional -cost. Its aggregate output does not echo task IDs or oracle commands. It does not launch an agent -or invent a task-success oracle. - -## Optimization experiments to run before changing defaults - -1. **Budget-aware packing**: compare full source, safe summary, sentence-aligned safe summary - excerpt, and raw-source excerpt at fixed budgets. Gate on support/answer retention and - qualifier preservation, not token count alone. -2. **Adaptive retrieval work**: `--candidate-depth adaptive` is an opt-in performance experiment. - It keeps wider graph/code pools and reduces routine lexical/balanced pools while reporting the - requested and actual depth. A local experiment motivated this option, but no public number is - retained because its machine-specific artifact is not in the evidence registry. Keep the - default fixed until complete external categories meet predeclared quality margins. -3. **Packing-pressure consolidation**: prioritize memory families that are frequently recalled, - repeatedly omitted, or costly per useful token. Count write/index/storage cost as well as later - reader-context savings. -4. **Tokenizer-aware ingestion**: implemented behind the chunk extractor. The dependency-free - default remains `engraphis.chars4.v1`; an explicitly configured Hugging Face reader tokenizer - enforces prose chunk and overlap budgets and records its identity in chunk metadata. Continue - measuring tokens-to-evidence, recall, and storage/index growth together before recommending a - model-specific default. -5. **Bulk ingestion**: add batch embedding plus a transaction-aware vector upsert path, then rerun - the complete MemoryAgentBench Test-Time Learning input. Gate this on identical stored-memory, - provenance, graph-link, and temporal-resolution outcomes, not throughput alone. -6. **Scoped caches**: benchmark query embeddings and repeat-recall results keyed by workspace, - repo, time anchors, profile, and corpus version. Test invalidation correctness before claiming - latency gains. -7. **Privacy-safe real usage**: use `engraphis_context_savings` to let each workspace inspect - aggregate source/context/saved tokens already present in content-free receipts. Keep unlike - token counters separate and require a valid receipt chain before treating totals as auditable. - -## Evaluation question - -The predeclared question is whether the full vector + lexical/BM25 + sparse PPR graph + calibrated -rerank pipeline, bi-temporal resolution, and grounded abstention produce higher evidence recall -per injected token than the registered baselines. The answer must come from a complete, -machine-readable artifact with paired confidence intervals; otherwise the release reports -“no demonstrated improvement.” +# Benchmarks + +This guide explains what Engraphis measures, how to reproduce each evaluation, and the limits of +those results. When this document and the code disagree, the code is the source of truth. + +The current expansion has a separate [results and workload report](docs/BENCHMARK_EXPANSION_RESULTS.md), +[execution runbook](docs/BENCHMARK_EXPANSION_RUNBOOK.md), and +[proposed stage budgets](docs/BENCHMARK_STAGE_BUDGETS.md). Completed external retrieval diagnostics +are review artifacts with explicit denominators and uncertainty. The coding pilot uses Codex +OAuth only and retains fixture exclusions and interrupted calls. Official QA, competitor +scores and capacity qualification remain separate experiments. + +For the locked operator sequence for a public canonical run, see +[`docs/PUBLIC_BENCHMARK_RUNBOOK.md`](docs/PUBLIC_BENCHMARK_RUNBOOK.md). + +The current measured improvement priorities and their evidence boundaries are in +[`docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md`](docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md). +The implementation exposes three opt-in comparison controls: `packing_mode="coverage"` +for complete evidence units across sources, source-bound `exact_value` fields on the +Smart/Classic/service write paths, and `retrieval_recipe="conversation"` or `"long_session"` +for the measured depth/budget starting points. `"legacy"` packing and `"default"` +retrieval remain the defaults until development, validation and untouched-holdout gates +show a workload-specific benefit. + +`python -m eval.evidence_contracts` checks exact-action validation and compares +legacy and coverage packing on small deterministic development fixtures. It runs +in the full offline CI matrix and the NumPy-only Python 3.9 job. These fixtures +test boundary correctness; they do not estimate external QA or model task success. The +[current diagnostic](docs/benchmark-evidence/evidence-contracts-20260921-v11.json) +withholds the unchanged oversized, unpunctuated fixture at its 24-token budget: +no fitting sentence boundary proves that the remaining condition text can be dropped. +The prior literal-preservation result remains in the historical artifact. Tight budgets +can therefore return fewer exact values under the complete-group contract. +Action contracts also require the host to supply the actual source text when creating +and validating a contract. The source revision digest and literal offsets must match; +four additional diagnostic cases reject forged or stale bindings. Authorization +remains the responsibility of the trusted host. +Eight fixed query-window cases also check that unrelated bound values cannot displace the +requested evidence. Their original retention expectations remain unchanged: 4/8 passed on +`0244c45f`, 8/8 on `c3a86295`, and 5/8 under the current complete-source rule. Three tight +bound-value cases now withhold their binding. A separate source-completeness gate checks +the same eight inputs, improving from 5/8 to 8/8, including roomy binding controls. +These development fixtures and their source hashes remain separate from external quality +measurements. + +Five safe-withholding cases improve from 0/5 against `65f4becd` to 5/5. A separate +five-case retention population exposes a tradeoff: the earlier v8 implementation +retained the expected literals in 5/5 cases, while the complete-unit rule retains +0/5 at those unchanged tight budgets. These unpunctuated records do not fit as +complete units. Their original inputs, expected literals and outcomes remain in +the diagnostic; safe omission is not counted as successful literal retention. + +Eight distant-restriction cases improve from 5/8 on `98e8f5c2` to 8/8, including +roomy retention controls. Exact binding now requires the complete meaningful source, +regardless of language or recognized qualifier words. Boundary whitespace may be trimmed +only outside the literal. Coverage withholds the bound occurrence when that source cannot +fit, while it may still select other unbound evidence. This also prevents +`Only use ALPHA in production` from becoming `Only use ALPHA`. Complete-unit safety +remains 16/16 against 8/16 on `98e8f5c2` in its separate diagnostic and CI gate. +Headers, titles and source attribution remain inside the budget; expansion cannot restore +an incomplete binding. This conservative rule retains source text without inferring its +meaning or authorizing a downstream action. + +The default legacy packer also withholds exact binding metadata when its selected +excerpt omits part of the complete source. Eight fixed cases improve +from 4/8 on `833e3e92` to 8/8: four incomplete bindings are suppressed and four +complete bindings remain. All eight retain identical context text and token +accounting. The literal can still appear as ordinary text; this diagnostic measures +binding safety, not a retrieval or answer-quality gain. + +Twelve additional French, Chinese and English-synonym cases exercise both modes at fixed +budgets. Against `c3a86295`, the complete binding contract improves from 10/12 to 12/12 +for legacy and from 5/12 to 12/12 for coverage. Unsafe bindings fall from two to zero +and seven to zero, respectively. Coverage literal leaks fall from seven to zero; all five +roomy controls retain their exact bindings in both modes. Independent token accounting +matches the rendered context and all budgets are honored. The gate separately rejects +omitted roomy bindings, incorrect spans and token-accounting errors. This is a fixed +development population, not a claim of general multilingual understanding. + +Corpus replay rejects non-boolean trust and answerability labels before execution. +Direct campaign records also require boolean trust labels and reject contradictory +nested trust metadata. Peer evidence IDs must name a recorded source; returned +backend IDs must agree with that source or resolve through recorded episode lineage. +Frozen campaign scope and trust take precedence over peer labels, and unrecognized labels +remain unknown. Core/service recall results report the recipe's effective output +limit as `effective_k`; recall receipts preserve it as `metadata.k` together with +`retrieval_recipe` and normalized `packing_mode`, independently of the number of +results actually returned. Historical receipts without a mode remain valid and +do not acquire an inferred value. +Campaign adapters report the frozen manifest's evaluated revision; direct adapters +retain `unknown` provenance unless explicitly bound. These checks protect result +interpretation and do not count as additional benchmark-quality gains. + +### Public numeric evidence registry + +Every exact public aggregate retained below comes from the checked-in, public-safe +[`offline-fixtures-v102.json`](docs/benchmark-evidence/offline-fixtures-v102.json) artifact. Its +SHA-256 is +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`, also recorded in the +adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, +or per-record content fingerprints. + +The fixture-suite digest is +`f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3`. The artifact defines +the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID +also binds its exact command through `sha256(UTF-8 exact command)`: + +| Evidence ID | Exact command | Config digest | +|---|---|---| +| `offline-chunking` | `python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5` | `c1c8196aa7e1568ef3844a9fb2d76b87f342c39108e32d6ad144b885a76143b8` | +| `offline-performance` | `python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json` | `bbe4aca81e58d4830e50a8fc7729a1d15b71d97a6299bccd79432b7f119677d7` | +| `offline-grounded` | `python -m eval.grounded` | `590442e51e3642c10489165759919dc86ffac62c182937330c153e7f8d5fc26f` | + +External, model-dependent, latency, consolidation, and productivity numbers are not included in +this offline registry unless a redacted immutable artifact with the same three bindings exists. Use +the [public benchmark runbook](docs/PUBLIC_BENCHMARK_RUNBOOK.md) to produce registry evidence. +Completed retrieval-only diagnostics are documented separately in the +[benchmark expansion results](docs/BENCHMARK_EXPANSION_RESULTS.md); absence from this registry +means no number is claimed in this offline registry. + +The context-efficiency chart is generated from the registry values and the selected report schema. +Historical LoCoMo, graph, handoff, consolidation, and security figures remain preserved in their +source artifacts but are omitted from the current chart until each has a matching immutable, +public-safe artifact. The chart labels coding outcomes, external datasets, and operational +capacity as pending evaluation tracks rather than implying scores. Regenerate it with +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/context-efficiency.svg` after selecting the report to publish. + +The companion examples are also generated from that artifact with +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/evidence-backed-agent-examples.svg`. +The historical-to-executable mapping is in +[`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). + +Fresh diagnostics retain explicit source-case identities so confidence intervals +cluster whole conversations even when question IDs do not encode their case. +Metrics with no eligible questions remain `null` (unscored), including fresh and +resumed runs. Artifact parsing, checksum validation, and queue receipts bind the +same byte snapshot. Comparisons require consistent dataset and repair bindings +while allowing the producer implementation to change between versions. + +## What we measure today (all offline, no API key) + +Most Engraphis evals score **retrieval**, not end-to-end QA. The separate productivity benchmark +runs a complete offline agent attempt and correction loop, but it is not an official +frontier-model QA score. + +- **Correctness gate**: `eval/harness.py` over `eval/datasets/sample.jsonl` and + `codemem.jsonl` (conflict resolution) and `graph_multihop.jsonl` (multi-hop graph recall). + Runs on the deterministic embedder, so it is a plumbing/regression floor, not a public + performance claim. This is the gate CI enforces. +- **Ablation**: `eval/ablation.py`: vector-only vs. 1-hop graph vs. Personalized-PageRank arm, + to show the graph arm actually earns its place. +- **External benchmarks**: `eval/external.py` loads **LoCoMo** and **LongMemEval** and pushes + them through the *real* `MemoryEngine` write path (conflict resolution + evolution) and hybrid + recall with a real sentence-transformers embedder. It reports `recall_at_k` / `hit_at_k` / + `answer_token_recall`: i.e. *did the evidence come back*, not *did an LLM answer correctly*. + It retains source categories and abstention/no-evidence questions as explicit exclusions from + retrieval-only aggregates rather than silently dropping them. `eval.longmemeval_v2` is a local, + text-only adapter for the official LongMemEval-V2 `insert(trajectory)` / `query(query, + query_image=None)` memory interface; it does not download data or call a model. +- **Grounded**: `eval/grounded.py`: answerable → cite, off-topic → abstain. Exact fixture + outcomes are evidence ID `offline-grounded` in the registry above. +- **Chunking (quality per token)**: `eval/chunking_eval.py` over `eval/datasets/longdoc.jsonl` + ingests a multi-topic corpus twice: once as one memory per document (`whole`) and once with + sub-file `ChunkingExtractor` (`chunked`), then queries both through the real recall pipeline. + The checked-in corpus is explicitly marked trusted eval data so the measurement isolates + chunking from the production trust gate, which excludes arbitrary raw imports from normal + agent context. On the deterministic embedder, **recall@5 is 1.000 for both modes; mean + retrieved top-5 content falls from 740.3 to 214.3 tokens (526.0 fewer, 71.1% lower, about + 3.5× smaller), while the smallest returned evidence-holding memory falls from 162.2 to 42.4 + tokens (119.8 fewer, 73.9% lower, about 3.8× smaller).** These aggregates are evidence ID + `offline-chunking` in the registry above. Pass `--embed-model + sentence-transformers/all-MiniLM-L6-v2` to run a model-dependent experiment; do not publish + that result without a new immutable artifact and pinned model revision. +- **Full-pipeline latency + quality**: `eval/performance.py` times the shipped semantic + + lexical + graph + fusion + scoring + rerank + packing path after warmup, with reinforcement + disabled so repeated measurements do not mutate their corpus. It reports p50/p95/p99 latency, + retrieval quality, packed context tokens, and full/compact JSON-shape payload proxies in one + JSON-safe schema. Its legacy `quality` fields score all candidate chunks returned before + context packing; additive `packed_quality` fields score only chunks admitted to reader context. + Payload proxies are sampled once per question, independently of the number of timed iterations; + they are not serialized MCP envelopes or transport responses. In the + registered CodeMem run, 26 payload samples total **24,590** full-proxy + `engraphis.regex.v1` tokens versus **11,138** compact-proxy tokens, avoiding **13,452** proxy + tokens (**54.71% lower**), while 260 recalls are timed. Packed context across the same 26 + samples averages **85.38** tokens and reaches **108** under a 1,500-token cap; Recall@5, + hit@5, and answer-token recall remain 1.000 for the legacy candidate-page view. The registered + v9 artifact predates `packed_quality`, so no packed-quality aggregate is published from it. + These aggregates are evidence ID + `offline-performance` in the registry above. `--filler-memories`, `--candidate-k`, and + `--retrieval-profile` make scaling and routing experiments executable, but their results need + separate evidence before publication. +- **Exact vector scale envelope**: `eval/vector_scale.py` measures the production + `NumpyVectorIndex` directly at requested corpus sizes with deterministic normalized vectors and + queries. It records a corpus fingerprint, result hashes, environment, and observed + p50/p95/p99 search envelopes. It intentionally has no pass/fail latency threshold: the output + describes the measured machine and workload, not a universal capacity cutoff. Pair it with + `eval/performance.py` before making a deployment decision because direct vector search excludes + the rest of the recall pipeline. Its `engraphis-vector-scale/v1` JSON is a local diagnostic, not + an `engraphis-benchmark/v2` public evidence artifact. +- **Proactive ranking calibration**: `eval/proactive_ranking.py` compares the previous and current + importance-retention floors on a small deterministic queryless-ranking fixture. It reports + top-1 accuracy and minimum expected margins for that fixture only. It is a scoring regression, + not evidence of general recall quality or user-task performance. +- **Workload context economy**: `eval/context_economy.py` compares three executable strategies + across every question in a workload: uncapped full-history replay, a contiguous recency window + at the same hard budget, and shipped Engraphis hybrid recall + packing. It reports evidence and + answer-token quality, cumulative reader-context tokens, a conservative total that charges one + complete source-token pass to indexing, and the query-count break-even point. The default is + deterministic/offline; `--embed-model` enables a real retrieval model, while + `--format locomo|longmemeval` reuses the established external loaders. +- **Agent productivity**: `eval/productivity.py` compares a capped full-history baseline, + always-on retrieval, and + adaptive context through a complete answer-and-correction loop. It reports completed tasks, + first-attempt errors, abstentions, corrections, agent turns, memory calls, wall-clock latency, + and all question/context/output tokens. The bundled agent is deterministic, receives no gold + answer, and is identified in every report; inject a real agent callable for model-specific + results. Optional provider telemetry is reported separately from the deterministic token + counter and is not a provider billing estimate. +- **Dashboard graph layout settle**: `eval/graph_every_bench.py` drives the Every-node + dashboard engine's real worker (`engraphis-graph-every-worker.js`) through a + `prepare → settled` round-trip over synthetic node/link loads and reports wall-clock settle + time plus the scaling ratio across sizes. It measures initial layout cost only: camera pans + and zooms never touch the worker (they are GPU-uniform updates), so no per-frame number can + come out of this harness and none should be quoted. Results are host- and Node-version + dependent local diagnostics, not registered public evidence; run the harness on the target + class of machine before quoting a figure. + +The context-economy and productivity tools intentionally report when a small workload does not +benefit from memory, and the external loaders expose retrieval-quality tradeoffs rather than +hiding them. Their prior local results are not retained as public numbers because no matching +redacted immutable artifact is checked in. Run the registered protocol and publish the resulting +artifact before making a quantitative claim. + +### Reproduce + +```bash +# Correctness gate (deterministic, no download) +python -m pytest tests/ -q +python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5 +python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5 +python -m eval.harness --dataset eval/datasets/graph_multihop.jsonl --k 5 +python -m eval.ablation +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ + --candidate-k 25 --candidate-depth adaptive --retrieval-profile auto --iterations 10 +python -m eval.context_economy --dataset eval/datasets/codemem.jsonl \ + --token-budget 512 --k 5 +python -m eval.productivity --dataset eval/datasets/codemem.jsonl \ + --max-context-tokens 512 --retrieval-token-budget 256 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 \ + --iterations 5 --filler-memories 1000 +# Direct NumPy search envelope at representative corpus sizes; timings are machine-specific. +python -m eval.vector_scale --sizes 1000,10000,100000 --queries 20 --iterations 3 --json +# Deterministic queryless-ranking calibration fixture. +python -m eval.proactive_ranking +# Canonical latency/resource protocol: requires >=1,000 queries and five processes. +python -m eval.performance --dataset fixed-1000-plus.jsonl --acceptance-matrix --processes 5 + +# External retrieval diagnostics (downloads all-MiniLM-L6-v2; not QA/leaderboard results) +python -m eval.external --dataset longmemeval_s.json --format longmemeval --k 10 +python -m eval.external --dataset locomo10.json --format locomo --k 10 +# Complete external-dataset coverage with an immutable embedding revision. These runs are +# retrieval-only diagnostics, not official benchmark-harness or leaderboard results. Completed +# public-safe artifacts and measured results are listed in the benchmark expansion report. +python -m eval.external --dataset longmemeval_s.json --format longmemeval --canonical \ + --embed-revision <40-character-model-commit> --json external-longmemeval.json +python -m eval.external --dataset locomo10.json --format locomo --canonical --no-resolve \ + --embed-revision <40-character-model-commit> \ + --locomo-repair-manifest eval/datasets/locomo10_repair_manifest.json \ + --json external-locomo.json +python -m eval.context_economy --dataset locomo10.json --format locomo \ + --embed-model sentence-transformers/all-MiniLM-L6-v2 --token-budget 512 --k 10 --no-resolve +``` + +Canonical external mode requires an exact lowercase 40-character embedding commit and a semantic +embedder; dependency or model-load failure is fatal instead of silently falling back to hashing. +Every report records `embedding`, `dataset_sha256`, `source_cases`, `normalized_cases`, and +`configuration` provenance so a result can be attributed to the actual data and retrieval setup. + +The official ten-conversation LoCoMo JSON contains delimiter-packed IDs, two mechanical ID +typos, and three references that cannot be normalized syntactically. The adapter normalizes only +the unambiguous forms. The checked-in repair manifest is bound to the official source SHA-256, +names every remaining replacement/removal, must be fully consumed, and is recorded in the JSON +report with its own hash. Any source update, unused repair, or unresolved ID fails the run. This +repairs retrieval references only; it does not claim to correct LoCoMo's semantic answer labels. + +The earlier private pinned retrieval diagnostic was the pre-publication state. Current complete +LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts in the +[benchmark expansion report](docs/BENCHMARK_EXPANSION_RESULTS.md), with source, model, configuration +and checksum boundaries. Those values remain evidence-retrieval metrics, not end-to-end QA accuracy +or an official LoCoMo leaderboard score. + +## What we do NOT yet claim + +- **No official end-to-end LLM QA accuracy.** The deterministic productivity agent measures the + complete local control loop, not a frontier answering model. Official LoCoMo / LongMemEval QA + still requires a pinned answering model and evaluator. +- **No hosted-service latency comparison.** The in-repo p50/p95/p99 benchmark covers the local + reference pipeline and records its environment; unlike environments are not compared. +- **No neutral third-party ranking.** We have not run an external eval platform. +- **No provider bill estimate.** Context-economy counts reader evidence under its named counter. + It excludes system/tool prompts, questions, completions, prompt caching, provider pricing, + compute, and storage. Its indexing-inclusive total is a conservative text-volume proxy. + +Every publishable run should emit the `engraphis-benchmark/v2` envelope: dataset/config hashes, +per-question records, explicit exclusions, fixed-budget context curves, and deterministic +stratified or paired bootstrap confidence intervals. Every run names its token counter. +Noncanonical offline fixtures may identify a deterministic estimate; canonical public evidence +requires the exact pinned reader tokenizer and immutable model revision. The lightweight CI +fixtures validate that machinery; they are not a claim about external benchmark performance. + +Public journey and external retrieval exports identify producer code by unique +repository-relative source names. Private dataset, conversation, repair, and +LongMemEval-V2 inputs use stable role names such as `inputs/dataset` or +`inputs/haystack`; their directories are never published. +Each name remains bound to its SHA-256 and byte count. The shared envelope keeps +basename-only defaults for other callers and historical artifacts; exporters opt in +with explicit `source_names` and verify the completed envelope against evaluated bytes. + +The benchmark context metric reads strict recall usage fields rather than inferring prompt size: +`budget_tokens`, `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, +`packed_count`, `omitted_count`, and `token_counter`. Use `engraphis_recall_context` for a +hard-budget prompt packet; legacy `engraphis_recall` remains available in full or compact response +mode for compatibility. + +### Canonical public artifacts + +Use `python -m eval.benchmark --input report.json --output artifacts/run.json` to validate a +report and write sorted, immutable JSON plus `run.json.sha256`. The command permits an identical +retry but refuses to replace a different artifact at the same path. For an official +LongMemEval-V2 run, add `--canonical`: this requires a profile with an exact benchmark repository +revision, dataset revision, reader model revision, and embedding model revision. The checked-in +profile pins immutable upstream commits; replacing any revision with a mutable tag fails +validation. Canonical profiles label the baseline (`no_retrieval`, `lexical_only`, `dense_only`, +`dense_lexical_rrf`, `full_hybrid`, `full_history`, `no_graph`, `no_reranker`, +`no_temporal_resolution`, or `whole_document`) and declare the required fixed context-budget +matrix: 256, 512, 1024, 2048, and 4096 tokens. Canonical in-repo reports rerun every question at +all five budgets and validate each aggregate against its per-question evidence. The checked-in +LongMemEval-V2 memory-module configuration sets the official adapter's operating point to 1,024 +tokens; that single official point must not be presented as a five-point curve. + +`eval.external --canonical` refuses `--limit` and rejects a normalized output that omitted source +cases. Retrieval-only abstention/no-evidence records remain visible in the artifact's +`exclusions`; they are not counted as evidence-retrieval scores. + +Official LongMemEval-V2 output can be converted into a public-safe QA artifact with +`python -m eval.longmemeval_v2_evidence`. The exporter requires the completion manifest written by +the pinned runner after a successful, complete official run. It binds the exact per-question +output, questions, haystack, trajectories, memory configuration, matrix manifest, seed, clean +official checkout, and recorded environment. The public artifact keeps the official QA score, +fixed-reader context token count, aggregate source-file digests, repository state, and artifact +checksum. It removes raw questions, answers, prompts, reader output, and retrieved context, and +does not publish per-record content fingerprints. See the +[`public benchmark runbook`](docs/PUBLIC_BENCHMARK_RUNBOOK.md) for the end-to-end operator sequence. + +### LongMemEval-V2 memory-module adapter + +`eval.longmemeval_v2.EngraphisLongMemEvalV2Memory` follows the official +`memory_modules.memory.Memory` interface at LongMemEval-V2 commit +`6f020ac2fc3275e46c706d3406e02c3ed79b7be2`. When imported in that environment, its +`@register_memory` decorator registers `memory_type="engraphis"`; use the checked-in +[`eval/configs/longmemeval_v2_engraphis.json`](eval/configs/longmemeval_v2_engraphis.json) +with the official harness. The config pins `Qwen/Qwen3-Embedding-8B` to revision +`1d8ad4ca9b3dd8059ad90a75d4983776a23d44af`; mutable embedding revisions are rejected, and a +canonical adapter run fails instead of relabeling the deterministic offline fallback as Qwen. +First materialize the six declared variants at all five token budgets: + +```bash +python -m eval.longmemeval_v2_matrix \ + --output "$ENGRAPHIS_EVIDENCE_RUN_DIR/configs" +``` + +This writes a 30-run manifest: balanced, planner, episodic-cap, planner-plus-episodic-cap, and +matched `context_k=2` comparators for both capped variants, each at 256, 512, 1,024, 2,048, and +4,096 evidence tokens. Run each manifest cell through `python -m eval.run_longmemeval_v2` with all +eight `--engraphis-*` completion-receipt arguments. The wrapper imports the adapter before the +official registry builds the memory module, forces the pinned reader processor revision, and +delegates the remaining official harness arguments unchanged. Only after a successful return does +it verify that the output question IDs exactly cover the source question IDs and write the +immutable execution manifest. + +The checked-in configuration is canonical only when the adapter resolves the pinned Qwen reader +processor at `c202236235762e1c871ad0ccb60c8ee5ba337b9a`. The wrapper refuses a dirty or non-pinned +official checkout and refuses to start if the optional processor dependency or immutable revision +is unavailable; the local regex counter is never silently relabeled as a reader budget. The +recorded budget counts each returned context item's content with that reader tokenizer (without +prompt framing or inter-item separators), so it is a hard **evidence-item content** budget, not a +claim about total chat-prompt tokens. Packed sources are returned as separate context items, +preserving the largest fitting evidence prefix instead of dropping one oversized monolithic item. +Every official per-question row reports inserted and retrieved counts by memory type. A +memory-type-cap claim additionally requires at least two populated inserted types, so a nominal cap +over a single-type workload cannot qualify as evidence. The adapter does not download benchmark +data or call the reader/evaluator; the official harness owns those steps. + +## External evidence status and remaining executions + +1. **Run the official LongMemEval-V2 reader and evaluator.** The adapter, pinned runner, and + redacted evidence exporter are implemented. The exact upstream commit boots in an isolated + Python 3.11 environment and the wrapper reaches the official harness CLI. The dataset, pinned + Qwen reader, and embedding assets require substantial storage and compute; no canonical QA + score is claimed until that run completes. +2. **Publish production-backend latency.** Run `eval/performance.py` with the real embedder and + sqlite-vec/backend configuration on a fixed machine class and corpus scale. +3. **Run the fixed-budget curve on the complete official datasets.** The v2 harness now measures + every question at 256, 512, 1,024, 2,048, and 4,096 evidence tokens and validates the + per-question records, aggregates, and pinned reader-tokenizer identity. Publish the curve only + after complete official runs produce immutable artifacts for every point. +4. **Run an external evaluation platform** once (1)–(3) exist. + +Do not make all evidence lanes variants of explicit factual recall. Executable offline adapters +now cover: + +- [MemoryAgentBench](https://github.com/HUST-AI-HYZ/MemoryAgentBench): incremental multi-turn + learning, long-range understanding, and conflict/consolidation inputs. +- [LoCoMo-Plus](https://github.com/xjtuleeyf/Locomo-Plus): an old implicit constraint must affect + a later response even when the later cue does not restate the remembered fact. +- [Mem2ActBench](https://github.com/Cantaloupe-M/Mem2ActBench): memory must select a tool and + ground its arguments, not merely return a passage. The current adapter measures retrieval and + expected tool-argument context coverage, not generated tool-call success. + +```bash +python -m eval.agent_benchmarks --dataset memoryagentbench.json \ + --format memoryagentbench +python -m eval.agent_benchmarks --dataset locomo_plus.json \ + --format locomo_plus +python -m eval.agent_benchmarks --dataset qa_dataset.jsonl \ + --conversations toolmem_conversation.jsonl --format mem2actbench \ + --artifact artifacts/mem2actbench.json +``` + +Use `--artifact` on any of these commands to write a redacted, immutable evidence envelope plus +an adjacent SHA256 file. The ordinary console/`--json` report is private run material and may +contain source questions for debugging. + +### Upstream-data diagnostics and publication scope + +The LoCoMo-Plus and MemoryAgentBench adapters have been exercised against upstream data and remain +queued for their own public-safe retrieval artifacts. Rerun each pending adapter with `--artifact`, +publish the redacted immutable envelope and checksum, and add its suite/config binding before +quoting a number. Mem2ActBench's declared small retrieval diagnostic is complete and has a checked-in +artifact; its exclusion and memory-cardinality figures are source-preparation metadata in the +public source lock, not product or action-success metrics. None of these lanes is an official +leaderboard, answer-quality, or marketing result. + +The MemoryAgentBench loader accepts both its aligned public JSON export and the Hugging Face +dataset-server `rows[].row` envelope. Rows without gold evidence remain useful for answer-token +coverage, but are excluded from retrieval aggregates and counted separately as +`retrieval_scored_questions`. + +For paired code-agent runs, execute the same tasks with the same model, tools, machine, and +deterministic success oracle under `full_history` and `engraphis`. Then analyze the content-free +run records with: + +```bash +python -m eval.code_agent_ab --full-history full-history.jsonl \ + --engraphis engraphis.jsonl --output paired-report.json +``` + +The analyzer rejects unmatched task IDs and different success oracles, then reports paired +bootstrap intervals for task success, input/output/tool tokens, retries, latency, and optional +cost. Its aggregate output does not echo task IDs or oracle commands. It does not launch an agent +or invent a task-success oracle. + +## Optimization experiments to run before changing defaults + +1. **Budget-aware packing**: compare full source, safe summary, sentence-aligned safe summary + excerpt, and raw-source excerpt at fixed budgets. Gate on support/answer retention and + qualifier preservation, not token count alone. +2. **Adaptive retrieval work**: `--candidate-depth adaptive` is an opt-in performance experiment. + It keeps wider graph/code pools and reduces routine lexical/balanced pools while reporting the + requested and actual depth. A local experiment motivated this option, but no public number is + retained because its machine-specific artifact is not in the evidence registry. Keep the + default fixed until complete external categories meet predeclared quality margins. +3. **Packing-pressure consolidation**: prioritize memory families that are frequently recalled, + repeatedly omitted, or costly per useful token. Count write/index/storage cost as well as later + reader-context savings. +4. **Tokenizer-aware ingestion**: implemented behind the chunk extractor. The dependency-free + default remains `engraphis.chars4.v1`; an explicitly configured Hugging Face reader tokenizer + enforces prose chunk and overlap budgets and records its identity in chunk metadata. Continue + measuring tokens-to-evidence, recall, and storage/index growth together before recommending a + model-specific default. +5. **Bulk ingestion**: add batch embedding plus a transaction-aware vector upsert path, then rerun + the complete MemoryAgentBench Test-Time Learning input. Gate this on identical stored-memory, + provenance, graph-link, and temporal-resolution outcomes, not throughput alone. +6. **Scoped caches**: benchmark query embeddings and repeat-recall results keyed by workspace, + repo, time anchors, profile, and corpus version. Test invalidation correctness before claiming + latency gains. +7. **Privacy-safe real usage**: use `engraphis_context_savings` to let each workspace inspect + aggregate source/context/saved tokens already present in content-free receipts. Keep unlike + token counters separate and require a valid receipt chain before treating totals as auditable. + +## Evaluation question + +The predeclared question is whether the full vector + lexical/BM25 + sparse PPR graph + calibrated +rerank pipeline, bi-temporal resolution, and grounded abstention produce higher evidence recall +per injected token than the registered baselines. The answer must come from a complete, +machine-readable artifact with paired confidence intervals; otherwise the release reports +“no demonstrated improvement.” diff --git a/CHANGELOG.md b/CHANGELOG.md index c27bf872..80f86f1a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,1870 +1,1870 @@ -# Changelog - -All notable changes to Engraphis are documented here. Format loosely follows -[Keep a Changelog](https://keepachangelog.com/); versions use SemVer. - -## [Unreleased] - -- Kept selective-memory relocation policy independent of SQL through a domain storage - protocol, with bounded reads and caller-owned transaction rollback. -- Reran the unchanged public fixtures into immutable v102 source-bound evidence. - -- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and - extended the Pi dependency audit to cover its development dependencies. -- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing - IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. -- Added saved project-to-workspace routing and connection instructions so agents can use the - user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized - session or repo mapping, report the resolved destination, and reject session mismatches. -- Command Code's SessionStart hook now uses the nearest Git root's repo name, honors saved - workspace mappings unless explicitly overridden, and labels recalled context with the - server's resolved workspace. -- Added a previewed selective move workflow for organizing mixed workspaces while retaining - source history and enforcing move eligibility and workspace access. -- Hardened the experimental Cloud decision client with validated destinations, - redirect refusal, bounded responses, strict decision parsing, and read-only - result interfaces. Loopback endpoints bypass proxies and reject external DNS - destinations. Managed availability and performance remain unverified. -- Fixed the spacetime overlay's final paused frame being skipped by paint throttling. -- Enforced a Cloud request deadline across connection retries, TLS, request sends, - proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only - requests across parser versions. -- Prevented retained-release waiver repairs from replacing a newer GitHub Latest - release, with a shared publication queue to serialize GitHub release writes. -- Reran the public offline fixtures into immutable v88 evidence and refreshed its - source bindings, documentation, and charts. - -## [1.7.8] - 2026-09-27 - -- Improved graph rendering and overlay scheduling, preserved saved Compact and custom - slider preferences, and corrected orbit radii, focus validation, and worker force limits. -- Hardened Windows MCP startup by preloading configured embedding and reranking - dependencies before background warmup, while retaining exact-backend requirements, - source-integrity validation, and an explicit preload opt-out. -- Added an experimental, explicitly authorized Jev decision adapter with fail-closed - response validation; it does not write memories or participate in grounded recall. -- Corrected API capacity and evidence projections and refreshed immutable offline - evidence and charts against the release source. Offline fixtures do not establish - live hosted-service or full-product qualification. -- Updated the optional Codex SDK to 0.155.1 and pinned CodeQL actions to 4.38.2. - -## [1.7.7] - 2026-09-23 - -- Cloud Sync shows local encryption-key and dependency readiness before enabling Sync now, - guides first-device key setup, and identifies shared workspaces eligible for upload. - Partial workspace rounds remain visibly incomplete. -- Pro Analytics resumes the exact submitted job across workspace switches and displays - its completed result without submitting a duplicate snapshot or run. -- Release auditing checks an unpublished wheel with OSV and its installed published - dependencies with PyPI. Qualification inputs now use protected Actions secrets so - variable-backed step logs cannot disclose the signed receipt. Owner-signed, - exact-artifact full-product qualification remains required before publication. - -## [1.7.6] - 2026-09-23 - -- Hardened Railway container startup persistence and readiness: entrypoint revalidates - trusted paths before ownership changes, enforces private 0700 permissions, preserves - ownership of external container state directories, rejects unsafe ownership markers - and hard-linked privileged startup inputs, and initializes private state for rootless - container execution. -- Improved agent-memory evidence and benchmark integrity: expanded evaluation harness, - local capacity campaign runners, campaign oracles and candidate compatibility, exact - value correction surfaces, compact recall HTTP endpoints, and comprehensive evidence - verification contracts. -- Upgraded tree-sitter-language-pack to 1.20.0, openai-codex to 0.154.0, and pyright to 1.1.414. -- Receipt-chain structural corruption remains fail-closed at the Store boundary without - bricking a completed service operation: affected responses now carry a content-free - `receipt_warning`, and graph/import workers preserve their completed state. - -## [1.7.4] - 2026-09-13 - -- Writable SQLite files now default to WAL plus FULL synchronization, with an explicit - balanced option and effective-policy diagnostics. Disposable fault tests cover abrupt - process exit and database-full rollback; hardware power loss remains unverified. -- Consolidation recall batches evidence-visibility checks within the Store's 500-ID bound, - preserving citations for larger digests under scope and temporal filters. -- Pi resolves patched Hono while retaining MCP SDK compatibility below version 2. -- Release verification exercises installed MCP and dashboard writes, restarts, corrections - and history on Windows, macOS and Linux. Product-readiness receipts bind exact components, - underlying evidence and independent release/leadership decisions. -- Normal and repair publication require owner-signed qualification of the exact source, - distributions and private ledger. Protected authority configuration is a release prerequisite; - no signing authority or approval is created by installing this package. -- Performance diagnostics accept pinned local models, real files and exact vector backends, - and expose opt-in recall phase timings. Planner promotion now has an explicit failing CLI - gate when its evaluation booleans are unmet; ranking defaults are unchanged. -- Added schema 18 content-free command receipts and cross-process source revalidation for - corrections, approvals, promotions and merges. Combined memory revisions have expected - versions, operation IDs, atomic metadata/history, and typed conflicts. -- Sync publication uses current canonical state and generation-aware repair; delayed work - cannot restore erased vectors. Native-index failures roll back canonical changes. -- Context retains distinct scoped evidence; synthesis falls back when complete source - units, titles, values or conditions are lost. Answer coverage defaults to unknown. -- Added project-aware memory workflows and paginated record history. -- Library cursors survive unrelated activity and work across processes. File-backed - browsing uses bounded live read snapshots; completed graph migrations are not - repeated at ordinary startup. -- Ask separates answer/preview retries, cancellation and answer coverage. Home uses - actionable review state; Explore pauses hidden views through existing renderers. -- Added content-free diagnostics and build/capability information, strict coding - acceptance validation and a file-backed independent-process capacity harness. - These provide measurement infrastructure, not verified 100k capacity claims. -- MCP stdio startup accepts the JSON-RPC handshake before optional semantic-model - warmup, while retaining deterministic fallback and exact-backend policy. - -## [1.7.3] - 2026-09-07 - -### Fixed - -- Preserved Galaxy carrier lane and kinematic orbit invariants through central-field slider - changes, including the global and core cached radii used by the next fixed slice. -- Refreshed the retained local orbital speed budget when the effective local-gravity control - changes, preventing a stale phase cache from masking the slider. -- Kept high-density Galaxy layouts inside the strict speed cap while maintaining authored - carrier and nested local orbit phase. -- Bounded the zero central-gravity radius response so finite far-field envelopes cannot leave - oversized kinematic carrier caches behind, and counted fallback speed-cap activations. -- Bumped the deterministic Galaxy scene algorithm identity to `galaxy-v13-responsive-compact-orbits` - so cached layouts cannot be confused with the revised placement contract. - -### Tests - -- Added deterministic regressions for central-field cache scaling and local-gravity phase - invalidation, alongside the existing 500-body and browser accessibility coverage. - -## [1.7.2] - 2026-09-05 - -### Added - -- Added `idx_vector_index_repairs_queue` composite index on `(identity, generation, memory_id)` - in `engraphis/core/schema.py` to prevent table scans during external vector repair queue dequeue. -- Added explicit operator opt-out verification with `403 Forbidden` (`processing_operator_disabled`) - for authenticated direct POST requests to `/managed-processing` in `engraphis/routes/v2_api.py`. -- Added `_only_environment_title_order_changed` in `engraphis/core/resolve.py` ensuring unkeyed - facts with permuted environment titles resolve to `NOOP` rather than false conflicts. -- Added comprehensive reliability regression coverage covering storage concurrency, vector index - repair indexing, and managed processing policy enforcement. - -### Fixed - -- Preserved `[all]` extras fallback for legacy editable installations in `scripts/update.py` - when no installation profile is recorded. -- Fixed external vector index hydration on physical index recreation and rebuilds. -- Fixed docstring dedenting and contract normalization across Python 3.9 through 3.14. - -### Changed - -- Bumped `tree-sitter-language-pack` to 1.16.1. -- Updated `codeql-action`, `anchore/scan-action`, and `anchore/sbom-action` GitHub Actions dependencies. - -### Reliability and privacy - -- Preserve distinct context claims, qualified sentences and complete units under tight budgets; - measure false NOOP outcomes through real write sequences. -- Preserve separate sources during packing and keep MCP gist responses within the canonical - context budget. Response caps retain or omit complete context and report accurate usage. -- Canonical temporal browsing, server-side Library filtering/pagination, independent Ask states, - actionable setup diagnostics and retained installation capabilities. -- Cross-process write resolution and schema 17 durable vector-index repair, with canonical - fallback and bounded NumPy scans. Public engine entrypoints remain compatible. -- Commit native batch indexing with canonical memory state and roll back both on failure. - Retain the established 12,000-memory graph window pending quality evidence for a smaller one. -- Explicit workspace managed-processing approval; missing legacy policy pauses readable uploads. - Requires the compatible cloud migration before rollout. Encrypted sync remains separate. -- Generated Smart/Classic MCP contract and integration inputs; Pro three-day and Team ten-day - trial copy aligned with cloud authority. Real browser and Workers evidence remains distinct - from production verification. See `docs/RELIABILITY_PROGRAM.md`. -- Isolate the manual graph diagnostic on an available local port with a private in-memory - server; fail before contacting an existing service when the requested port is occupied. - -## [1.7.1] - 2026-09-03 - -### Fixed - -- Isolated stdio transport wire in `engraphis.mcp_server`: redirected `sys.stdout` - to `sys.stderr` while preserving the raw binary stream for JSON-RPC wire - communication, preventing external library stdout chatter (e.g. PyTorch, - Hugging Face, tqdm) from corrupting the wire and triggering `write EOF` stream - disconnection errors in Node.js harnesses (Command Code, Cursor, Claude Code, Cline). -- Added thread-safe singleton initialization with `threading.Lock()` to - `engraphis.mcp_server.service()`. -- Added non-blocking background daemon warmup (`_start_background_warmup()`) in - `engraphis.mcp_server` to pre-warm the database and embedder, eliminating - cold-start latency and timeout disconnects on the first MCP tool call. Can be - bypassed with `ENGRAPHIS_MCP_WARMUP=0`. -- Added cache-first fast path (`local_files_only=True`) in - `SentenceTransformerEmbedder` (`engraphis/backends/embedder_st.py`), allowing - locally cached models to initialize in ~0.3s without network calls or remote - registry checks. -- Added embedder forward-pass diagnostic check to `engraphis-init --check` and - added `engraphis-init --prefetch` command to download and cache model weights - during setup. - -## [1.7] - 2026-09-03 - -### Added - -- Smart MCP `engraphis_recall_context` default `k` raised 8 -> 50 so the token-budget - packer binds on realistic stores by default. Measured at budget=1024 against a - 49-fact store: 100% labelled-relevance retention and ~50% of the store withheld - (savings_ratio 0.0 -> 0.4975) with no caller-side arguments. The packer is the - existing 1.6 contract; the change just makes it the default fast path. -- Smart MCP `engraphis_remember` now accepts and forwards `subject_key` and - `claim_kind` to the classic tool, so the documented safe-supersession - mechanism is reachable through MCP. -- A new integration at `integrations/commandcode/session_start_hook.py` (with - `scripts/install_cc_hook.py` for idempotent user-scope install/uninstall) wires - durable-memory recall into Command Code's SessionStart lifecycle: each new - session's first turn receives bounded relevant context as `additionalContext`. - Fail-open and silent on any error. Override workspace via - `ENGRAPHIS_HOOK_WORKSPACE`; override the MCP URL via `ENGRAPHIS_MCP_URL`. -- Cross-encoder reranker (`cross-encoder/ms-marco-MiniLM-L-6-v2`) is now - reachable as an opt-in config knob (`rerank_model=` on `MemoryEngine.create` - / `ENGRAPHIS_RERANK_MODEL`). Evaluated offline on the bundled retrieval gates - (sample.jsonl, codemem.jsonl, k=5): hit@5 stays at 1.0 with zero per-question - regressions, MRR@5 lifts 0.889 -> 0.944 (sample) and 0.962 -> 0.981 (codemem), - with ~15 ms per query added. Not the default; set the value in the trusted - config file (`~/.engraphis/config.env` on the operator account, or as a - process environment variable); Engraphis deliberately does not read the - CWD `.env`, so editing `./.env` and restarting leaves the identity - reranker active. Restart the MCP server and dashboard after the change. - -### Changed - -- The reworded-correction detector in `core/resolve.py` now supersedes reworded - corrections without a stable `subject_key` when the aligned token diff shows - a same-attribute value change (e.g. "the timeout is 30 seconds" -> "we raised - the timeout to 90 seconds"). The strong-evidence branch and the rewrite_gate - branch both require a change marker (e.g. "now", "raised") to be accompanied - by a value_swap on the same shared subject, so a bare "now" can never retire - a fact it merely shares surface nouns with. Vetoes preserve coexisting - distinct facts: clashing environment qualifiers (staging vs production, - folded through `prod`/`production` and `dev`/`development` aliases so a - legitimate correction across short forms does not get vetoed), - named mixed-case identifier swaps (ProviderA -> ProviderB), and clean - noun-for-noun replacements (REST -> GraphQL docs). Measured on the - reproducible corpus shipped at - `eval/datasets/resolver_reworded_corrections.jsonl` (44 pairs, 38 - positives + 6 negatives); reproduce locally with - `python -m eval.resolver_reworded_corrections` or - `python -m eval.resolver_reworded_corrections --strict` in CI. -- The `temporal_splice` flag passed from `core/engine.py` to `resolve()` is - now narrowed to the bi-temporal backfill case (a deliberate `valid_at` - AND a `subject_key`), instead of any `valid_at`-pinned write. Scheduled - future writes stay on the present-time veto contract. - -### Fixed - -- The Smart MCP gateway `engraphis_remember` now forwards `subject_key` and - `claim_kind` end to end, matching the **Added** entry above. - -### Operational - -- The new `engraphis_recall_context` tool emits one `INFO` log per call with - workspace, k, budget, packed/omitted counts, and the call's measured ms. - Operators get visibility without changing the on-the-wire contract. - The standalone \engraphis-mcp-http\ launcher only configures the root logger when - \ENGRAPHIS_MCP_LOG\ is set to a truthy value (\ / \ rue\ / \yes\ / \info\ / - \on\); the default stays silent so the CLI keeps its quiet profile. - -- The graph's "Show all nodes" toggle is replaced by a dedicated **Every node** layout built - on a new ultra-performance engine (`engraphis-graph-every.js` + - `engraphis-graph-every-worker.js`, WebGL2-only): all geometry is uploaded once and camera - moves touch only uniforms, so pan/zoom frame cost is independent of node count up to the - 20,000-node / 200,000-relation ceilings. Zoomed-out scenes read as an additive glow - density map; edges reveal progressively by weight with gold bridges; community districts - paint as tinted region hulls with hub-derived labels; hovering or highlighting a node dims - everything outside its neighbourhood, marks its relations with directional arrows and - relation names, and shows a callout card with category, connection count, and strongest - connections. Includes two-pointer pinch zoom, keyboard browsing (arrows/+/-/F/Escape), - a screen-reader live region for scene and hover announcements, and deterministic worker - layouts that stream settling passes (measured: ~320 ms settle at 2k nodes, ~1.2 s at 20k). - Entering Every-node shows every entity regardless of overview filters; leaving restores - the person's filters. - -### Changed - -- Direct black-hole children now receive compact, deterministic orbital lanes near the black - hole instead of inheriting the farthest authored radius. Each lane keeps phase and painted - clearance, while community-child planets remain in their local moving frame; oversized Galaxy - scenes seed the same lanes before their kinematic clock starts. -- Complete Galaxy packing now uses a 4% painted-envelope clearance instead of a blanket 15% - radial allowance, keeping solar-system carriers materially denser around the black-hole - interior while preserving non-overlap. -- Explicit `orbits` links from the black hole now promote community anchors and their declared - stellar children into the central orbital carrier group, so the Orbital speed control moves - the connected nodes in both live and oversized Galaxy paths. -- Every Galaxy body now receives both motion frames: its top-level system carrier orbits the - black hole, while the body follows its immediate star/planet carrier with cached local phase; - legacy community metadata and nested moons use the same hierarchy without phase rewinds. -- Any direct black-hole edge now promotes its endpoint into the central orbital carrier group; - relation labels no longer suppress direct star/system motion. -- Galaxy physics ticks now explicitly invalidate the canvas camera, so advancing orbital - coordinates repaints visibly even when force-graph's automatic redraw loop is paused. -- Complete graph analysis now scans up to 40,000 entity rows and 200,000 raw relationships, - while the explicit all-node renderer retains its 20,000-node, 200,000-link refusal ceiling. - Live-render safety thresholds remain unchanged so oversized scenes stay on the static path. -- Show all nodes now keeps the complete sidebar live: deterministic worker layouts respond to - repel, link-distance, gravity, and advanced force controls; minimum relations, unlinked nodes, - focus depth, relation layers, ghosts, and auto-collapse filter the LOD scene without a reload. - Capped directional relation flow, reduced-motion fallbacks, visible-count status, exact-repository - code overlays, and a 200,000-link worker guard complete the release safety contract. - -- Galaxy admission now uses a tighter default carrier gap and calibrated orbital slack, keeping - more complete solar systems in the black-hole interior without sacrificing painted clearance. - -- Galaxy mode now exposes normalized controls for gravitational constant, compact black-hole - mass, independent local-solar gravity, space friction, edge-spring stiffness, and orbit - pause/play. The fixed-step Velocity Verlet field superposes black-hole carrier motion with - softened dominant-star orbits, adds bounded near-horizon frame dragging, differential tidal - stretching, and carrier-only orbital decay, preserves Hooke tethers and short-range - repulsion, and captures sub-escape drag releases into their authored star system while high - velocity releases escape. A bounded canvas layer renders the central gravity well, lens halo, - short trails, and up to 24 shallow local-star wells without adding simulation bodies. -- The dashboard Galaxy graph now caches its outer safety radius at 2× the initial painted - extent; escaped nodes are confined to that fixed envelope instead of expanding it. -- The Galaxy gravity slider now spans `0..400` while retaining the release-stable default - black-hole field of `240` and local field of `120`. Independent community stars run on a 2.5× - orbital clock and retain the calibrated default stellar well when Gravity is zero. An explicit - black hole now retains a smaller `24`-setting floor at the loose endpoint, so neither solar - systems nor their planets silently stop while the displayed control remains at zero. -- The Galaxy default orbital separation is now `60`, a 25% increase from `48`. Link and contact - projections remain contractive and correction-capped so dense layouts cannot overshoot or - ping-pong. Same-system contacts project along each declared stellar orbit so they preserve - radius and relative velocity while the dominant star remains fixed in the local system frame. -- Galaxy's `Orbital speed` control now scales local stellar rotation and whole-system rotation - around the central galaxy anchor in both live and oversized kinematic layouts. Its faster - endpoint also gives planets a modest 6% larger local orbital radius while the midpoint remains - unchanged; saved views continue using `repel`. -- Direct black-hole graph connections now classify their non-anchor nodes as black-hole - satellites, including legacy payloads without `system_anchor_id`, so those nodes rotate with - the same Orbital speed phase. -- Carrier orbit support now adopts a node's post-contact phase before advancing it, preventing - collision or boundary corrections from snapping nodes back to a stale lane angle and producing - visible jitter. -- Oversized Galaxy fallback layouts now use the complete gravity range instead of saturating near - the lower end of the slider. -- Complete Galaxy overview scenes remain expanded and physically live through 1,000 nodes and - 2,000 relations; larger Galaxy scenes and non-Galaxy full views retain the deterministic - fallback. -- Historical graph views now keep at least one ghost relation's endpoints together under - undersized node caps, and ghost evidence drilldowns resolve invalidated supporting memories - instead of a colliding live canonical alias. - -- The source-import consolidation loop now uses union-find (path halving) to merge overlapping - clusters, replacing an O(n²) nested scan with near-linear time. The `consolidation_evidence_cache` - is bounded to 1000 entries with clear-on-overflow to prevent unbounded memory growth. -- Duplicate `_is_reparse_point` implementations across 4 modules (documents, obsidian, resources, - vault) are extracted to a shared `core/fsutil.is_reparse_point` helper, eliminating code drift. -- Backend factory functions (`get_embedder`, `get_vector_index`, `get_transport`, `get_extractor`, - `get_resource_extractor`, `get_postgres_introspector`) now declare Protocol-based return types, - making the interface contract explicit and enabling static type checking. -- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string - interpolation, eliminating a fragile pattern that could theoretically be exploited if float - representation ever produced non-numeric characters. The dead `_graph_edge_visibility_sql` - helper is removed; `_graph_edge_history_visibility_sql` returns `(sql, params)` tuple. -- The dashboard graph scene endpoint (`/api/graph/scene`) now accepts a `presentation` - query parameter (`quality` or `all`); the `all` profile requests the complete entity - projection up to 20,000 nodes and 200,000 relationships with an explicit worker-backed - LOD renderer, while `quality` retains the existing overview cap. -- Galaxy overview now retains the strongest cross-community bridge edge for every visible - system pair plus every direct global-anchor link, so inter-system and black-hole - relationships appear connected instead of isolated. -- Added `docs/GRAPH_PERFORMANCE.md` documenting the two graph presentation profiles, - worker layout, progressive rendering, and the 20,000-node / 200,000-relation safety - ceilings. -- Source-import manifest paging now uses keyset (cursor) pagination instead of OFFSET, - so concurrent writes during a source re-import can no longer skip or duplicate rows - mid-scan (PR #154). -- Local file/folder imports now accept up to 1,500 files per batch (was 500), with the total - batch ceiling scaled to 750 MB so the average per-file allowance is unchanged; document-wizard - scanner ceilings move in lockstep. -- Folder imports report truncation explicitly: a folder with more matching files than the - ceiling now warns and returns `truncated`/`matched_total`/`unreadable` fields instead of - silently importing an alphabetically-first slice that looks complete. -- The `engraphis_prime_agent` integration now ships a fleet wrapper that boots multiple - sub-agents (researcher / coder / reviewer / writer) with one shared memory workspace, - with fleet-wide configuration via `ENGRAPHIS_REPO` and per-agent override via the - `repo=` argument; the `engraphis-prime-agent install` subcommand configures a target - prime-agent configuration file and `python -m engraphis_prime_agent install` - works directly from the installed wheel. - -### Fixed - -- The Every node dashboard view no longer crashes on open: a declaration-order bug in the - renderer threw during construction before anything painted. The scene canvas also keeps its - accessible role/label now instead of being hidden from assistive technology. -- Prompt-only recall now honours an opt-in `ENGRAPHIS_RECALL_ARM_CANDIDATE_K` env var (and - the matching `RecallEngine(arm_candidate_k_cap=...)` constructor argument) that clamps both - the first-page widening (`candidate_k + min(250, candidate_k*3)`) and the second-page - ceiling, so operators can trade untrusted-scope widening for latency on the new k=50 - default without code changes. The accompanying benchmark test, - `test_recall_arm_candidate_k_cap.py`, uses a 300-fact trusted corpus because both requested - arm depths clamp to the same 49 rows on a smaller corpus and the timing assertion was - unreliable. Default behaviour is unchanged. -- Import previews now page the source manifest exactly like execution, so vaults whose manifest - outgrew one list page (10k identities) no longer show manifest-only files as silently absent - from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped. - Manifest pages now use one read snapshot and de-duplicate identities that move across a - cursor while a concurrent import updates their path. -- Importing more than 1,000 files through the dashboard no longer fails with "Internal Server - Error": wizard upload routes parse multipart forms under the advertised 1,500-file ceiling - instead of Starlette's hidden 1,000-part parser default, oversized batches return a clear 413, - and large vault uploads no longer trip the dashboard's 8 MB default body limit. -- One unreadable or pathological file (locked, deep-nested JSON, concurrent writer) now degrades - to a per-file error instead of rolling back the entire import batch with a 500. -- Document/Obsidian import jobs whose worker died with the process are marked failed on the next - status poll (`worker_lease_expired`) instead of reporting `running` forever. -- Cloud-placeholder files (OneDrive Files-On-Demand) on Windows are hydrated and imported rather - than rejected as non-regular files; symlinks and junctions remain blocked. -- Galaxy layout now packs each complete solar-system envelope before orbital seeding and keeps - those envelopes separated with rigid carrier translations during live motion. Compact server - targets can no longer stack large systems near the black hole, while local planet positions, - velocities, event-horizon clearance, and the finite outer boundary remain intact. -- Galaxy hierarchy authority is now label-independent: an authored `anchor_role="global"` - selects the central mass regardless of its display name or evidence mass, while unannotated - compatibility scenes fall back deterministically through mass, rank, degree, and stable ID. -- The central black-hole adornment now advances a visible spin phase with the Galaxy physics - clock, so an otherwise satellite-free core no longer appears frozen while remaining the fixed - origin for the surrounding galaxy. -- Near-horizon curvature is now measured from each system's dominant-star carrier through a - bounded black-hole-scale band. A wide solar system can no longer be misclassified as already - inside the gravity well and have its ordinary galactic angular momentum drained. -- Galaxy systems revealed after the initial render, restored with zeroed velocity, or shown as - singletons now receive their own black-hole-frame tangential admission instead of being marked - seeded while stationary. Oversized Complete views use a bounded node-only hierarchical orbit - clock, and visible historical ghosts move as massless test particles without entering gravity, - contacts, or momentum. -- Galaxy members that appear before their eventual star, arrive through a later reveal, change - parent systems, or return with a zeroed local phase now receive one star-relative circular seed - without recoiling the dominant node. Existing healthy stellar orbits remain untouched. -- Dominant community stars now remain inertial at the centre of their moving solar-system frame. - Local gravity, stellar contact, dense separation, seeding, speed limiting, and the oversized - kinematic fallback move planets around that star instead of wobbling the star with its planets. -- Galaxy Reheat now wakes the persistent fixed-step clock without injecting bonus physics slices, - and cross-system separation is bounded so it cannot kick entire solar systems into a visible - fast-forward, ping-pong, or speed-cap pulse. -- Ledger graph reloads now retire and cache-bust a renderer that fetched successfully but failed - to register, instead of replaying the same broken asset response. -- Existing Galaxy preferences migrate only the retired `48` orbital-separation default to `60`; - deliberate custom values, including Gravity `0`, remain unchanged. -- Source-import hardening lands via separate PR #154: deterministic missing-item detection - now guards an unknown baseline instead of reporting spurious misses, denial-guard - supersession binds digests computed from the parsed record rather than raw input, - import-job finalization is generation-guarded so a stale worker cannot finalize over a - newer attempt, and the finalized-state check completes in constant time. -- Smart MCP `engraphis_session` now accepts `action="start_session"` and `action="end_session"` - (the full tool-name forms the Command Code harness sends when translating the AGENTS.md - `engraphis_start_session`/`engraphis_end_session` shorthand), normalizing them to `start`/`end` - before the pattern validation instead of rejecting them with a 400. - -### Documentation - -- `docs/LLM_PROVIDERS.md` now warns Windows users that `cmd` may resolve to `cmd.exe` - (the built-in Windows command interpreter) instead of the Command Code CLI, and explains - how to diagnose and work around the PATH collision. - -### Security - - -- HTTP error responses in `vault.py` and `service.py` no longer echo user-controlled paths back - to the client, preventing filesystem structure leakage (SEC-001). -- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string - interpolation, eliminating a fragile SQL construction pattern (SEC-002). -- The `pypdf` dependency floor is raised to `>=6.15.0` to address PYSEC-2026-3655 and - PYSEC-2026-3656 (arbitrary code execution via crafted PDF objects). - -### Removed - -- The Hermes memory-provider plugin integration (`integrations/hermes/`, its - `ENGRAPHIS_HERMES_*` environment surface, and its integration test) is withdrawn from - the repository ahead of the v1.6 tag. The provider remains available in the v1.5 - release history for anyone who already copied it. -## [1.6] - 2026-08-15 - -Minor release advancing the v2 engine through schema 16 with deterministic sync state, trusted -local document and Obsidian import, tighter trust boundaries, synchronized agent guidance, and -stronger release and evaluation evidence. - -### Changed - -- The dashboard graph now separates two explicit presentation budgets. **High quality** keeps the - interactive renderer for focused exploration, while **Show all nodes** requests the complete - entity projection and uses a worker-backed level-of-detail renderer with batched WebGL2 points, - a bounded Canvas fallback, progressive relationship disclosure, and no live force simulation. - The all-node profile supports up to 20,000 entities and 200,000 relationships; larger filtered - results fail with an explicit capacity response instead of silently sampling an incomplete graph. - Repository and entity-type filters remain the supported route for narrowing oversized views. -- The Ledger knowledge graph now defaults to evidence-mass Galaxy gravity. The `galaxy-v6` - scene contract retains the magnitude of degree, PageRank, support, and repository evidence; - one mass value determines both visibly distinct star radius and gravitational pull. Deterministic - mass-ranked cores and orbital bands form local solar systems. The highest-evidence node becomes - the central black hole, rendered at least twice the ordinary evidence radius so its event horizon - remains visible at minimum Node size. Deterministic logarithmic arms seed a non-uniform disk, and - a fixed-step leapfrog clock advances eccentric, differential system orbits through an - evidence-derived core-plus-halo potential. Gravity now treats the dominant evidence node as - the explicit black-hole source: its field is `240` at the default slider and `864` at maximum, - while local solar-system, bridge, and drag gravity receives exactly half (`120` and `432`). The - smooth response remains true-zero and monotonic, and the rest of the core community contributes - through the softened halo rather than silently inflating the black-hole node's mass. External - solar systems also exert a weaker softened mutual field on one another: nearby evidence-heavy - systems perturb each other without requiring a relation edge, while the black hole remains the - dominant galaxy-wide potential. - The controlled centre pull is also doubled, retaining an immediate radial response rather than - hiding the stronger field behind a slower projector. Galaxy dynamics no - longer depend on D3 alpha decay, render cadence, or - force-directed settling. Galactic and local-system motion now uses a `0.021328125` fixed timestep, - another 30% slower than the preceding `0.03046875` cadence, while direct pointer movement remains responsive. - Every live seed coordinate and local orbit begins another 20% inward, putting - system centers at 40% of the original Galaxy radius. While live, the black-hole frame follows a - controlled inward spiral: Gravity 0 holds the loose seeded radius, and default/maximum convergence - now advances the same inward trajectory at 70% of its immediately preceding speed. Gravity slider input also - applies an immediate, reversible system-center response without changing local geometry or velocity: - its full range spans 40% radius contraction, and default-to-maximum visibly contracts about 31% - synchronously while maximum gravity retains its 3.6x field; - outward attempts still receive a 110% radial counter-projection and can never increase their - radius. Link distance now drives same-system evidence springs with twice the prior response and - a squared scale curve. Its default is now `8`, giving connected nodes a 0.25x rest length, 75% - tighter than the preceding default, while the full range still spans 1/16x tight orbits through - 25x loose orbits without allowing - cross-system relations to collapse the galaxy. A bounded mass-weighted positional relation - constraint makes Link distance respond immediately while preserving each solar system's centre - of mass. Orbital separation now owns an explicit same-system safety envelope instead of relying - on an imperceptible softening side effect: both its positional response and cushion scale are - doubled, spanning zero added space through 30 world units while preserving evidence-mass centre - of mass and removing closing energy. Dense projections retain the requested - compact radius and report unavoidable projected overlap instead of silently expanding the disk. - Near the core, the direct close-encounter term is 25% lower and its weight moves into the smooth - halo, reducing ejection without weakening the total evidence-mass field. Legacy layouts and - `/api/graph` remain available. - -### Fixed - -- Replace the packed-disk Galaxy regression with persistent softened-Newtonian dynamics. Galaxy - phase space is isolated from Compact and other legacy layouts, angular momentum is preserved - across layout changes, and large stars are visibly distinct. A smooth evidence-mass field keeps - each solar system bound while direct star-to-star gravity supplies smaller organic perturbations; - evidence bridges remain visible provenance without injecting non-central orbital energy or - relation springs compressing the scene into a graph blob. Dragging now leaves the fixed-step - Galaxy clock live without alpha changes, global reheats, reseeding, or detaching any global force. - The pointer owns exactly one moving mass source while every live body follows its softened - inverse-square gravity, whether linked or unlinked; distance and evidence mass determine the - response, and explicit relations only strengthen it. A bounded once-per-physics-slice projection - makes nearby unlinked bodies visibly follow without teleporting, freezing the rest of the graph, - or depending on pointer-event frequency. Pointer events update only the source position and - field membership--the gravitational response is sampled by the 30 Hz physics clock. The selected - Link orbit supplies a safe periapsis, - tangential momentum is retained, and release adds no wake or impulse. Freeze remains the sole - explicit motion gate. The explicit **Reheat layout** action now gives Galaxy a finite custom- - solver relaxation burst (30 extra steps, or 12 for large live scenes) instead of merely ensuring - its already-running clock exists; repeated clicks coalesce, current orbital phase is preserved, - and no D3 alpha, random kick, or orbital reseed is introduced. -- Eliminate false Galaxy "reheating" caused by two local solvers fighting each other every tick. - Link distance and Orbital separation now share the same lower-bound target, the redundant live - velocity spring no longer injects energy alongside the positional constraint, and close-range - separation dissipates closing radial motion. Correction-distance diagnostics expose whether a - system is genuinely settling without changing its orbital phase or waking D3. -- Stabilize dense solar systems and high-degree hubs without weakening their gravity. Link and - Orbital-separation constraints now sample one immutable phase and apply one simultaneous, - mass-balanced update per node instead of stacking an update for every incident edge. Aggregate - position and contact-velocity caps prevent a hub slingshot, while a system-relative speed fuse - damps only anomalous member motion and preserves each free system's center-of-mass orbit. -- Show unlinked entities in new Ledger and Classic graph views by default so isolated evidence is - not silently omitted. The toolbar still switches to a linked-only view, and persisted user or - saved-view preferences remain authoritative. -- Keep large Galaxy scenes interactive by replacing quadratic entity-visibility scans with - set-wise privacy pruning, driving evidence lookups from the requested relation IDs, and making - Ledger retries cancel and supersede stale scene requests safely. - -### Added - -- A dependency-free, source-neutral local document importer for Markdown, plain text, - reStructuredText, HTML, JSON/JSONL, CSV/TSV, configuration/XML text, and stdlib-readable - source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB documents, with existing local - adapters for PDF text, image OCR, and explicitly local-model audio/video transcription. - `engraphis import documents` and the - dashboard’s **Import local documents** flow - provide strict previews, safe per-file reporting, resumable source manifests, temporal - re-import history, and explicit conflict choices. Obsidian remains the rich Markdown adapter. -- Offline, repeatable Obsidian-vault import with strict dry-run previews, source - safety exclusions, resumable per-note progress, temporal re-import history, and - a trusted-owner dashboard wizard that uploads only `.md` note bytes plus content-free - attachment manifests. It ships through - `engraphis import obsidian`, the `engraphis-import` console alias, and a deprecated - v1 seed-script wrapper that maps legacy namespaces to v2 workspaces. - -### Security - -- Fail closed on new `user`-scope memory writes until records carry an immutable owner identity; - preserve historical reads and the existing promotion rejection instead of presenting - workspace-bound rows as private personal memory. -- Parse bounded dotenv-style configuration without an optional runtime dependency, and load it only from the owner-private - `~/.engraphis/config.env` or an absolute owner-private file selected by - `ENGRAPHIS_ENV_FILE`; arbitrary working-directory `.env` files are not a trust boundary. -- Clarify Cloud Sync credential-origin binding, secret-manager-only unattended credentials, - version-3 rollback evidence, and the deliberately incomplete first-contact state without - claiming an untrusted relay can prove a complete device set. -- Advance through schema 15: schema 12 classifies content-free erasure markers so local-only - `never_export` markers remain private and only validated `remote_erasure` markers may cross - sync boundaries; schema 13 adds per-memory hybrid logical clocks for deterministic - descriptive-state sync and durable, content-free proof that a memory crossed a sync boundary; - schema 14 adds Obsidian collection and import manifests; schema 15 generalizes them to - source-neutral `documents` and `obsidian` adapters, preserves temporal source lineage, enforces - adapter/job and target-scope integrity, and retains only bounded, content-free per-job - format/result metadata. Schema 16 persists the optional session target on import jobs and - enforces exact session equality for source lineage and job items. -- Bind each trusted-owner dashboard document or Obsidian run to an expiring, owner-session-bound, - one-time preview token over the exact note/document bytes, attachment manifest, target, source, - and conflict policy; invalidate changed client previews and keep job polling and cancellation - bound to the workspace where the job started. -- Make read-only Store inspection write-free for SQLite and injected/SQLCipher connectors: - require injected connectors to expose `open_read_only(path)`, open existing checkpointed files - with `mode=ro&immutable=1` plus `PRAGMA query_only=ON`, and reject missing paths or active - WAL/rollback journals before a connector can create or recover state. - -### Fixed - -- Publish separately backed vector-index changes for service memory-title edits only after the - canonical Store row, FTS mirror, portable vector, audit, and commit succeed; late Store failures - publish nothing, while post-commit provider failures preserve canonical state and record - content-free repair debt. -- Defer separately backed vector-index upserts and deletes during sync until each canonical apply - batch commits, coalesce repeated IDs, publish nothing on late Store failure, and record - content-free repair debt if the provider fails after commit. -- Synchronize the portable memory skill with the live Smart nine-tool and Classic 34-tool - surfaces, including the two intentionally narrower Smart overlap schemas, trust/origin fields, - planner and response bounds, context-savings filters, receipt anchors, and expanded health - output. -- Separate append-only event rows from episodic memories in every agent guide: event rows are not - recalled, deduplicated, reinforced, or consolidated, while recallable recurring outcomes use - governed episodic memories. -- Make every documentation and image target in the PyPI long description an absolute canonical - repository URL, and add offline contracts that reject future relative-link regressions. -- Replace unregistered external and consolidation numbers in the context-efficiency image with a - checksum-bound public fixture artifact; publish exact commands plus suite/config digests and - retain only deterministic aggregates reproduced by the checked-in offline fixtures. -- Align the canonical offline gate, protocol-only `core/` boundary and outer - `engraphis/factory.py` composition root, deterministic versus entrypoint vector-backend - selection, persistent embedding identity, v1 migration repair reporting, trusted configuration, - and hosted/local boundaries across public docs. -- Remove the obsolete consolidation source-supersession option across public docs; consolidation - now exposes only the explicit clustering, archival, profile, inference, structured, LLM, time, - and level controls implemented by the engine. -- Document the official LongMemEval-V2 six-variant, five-budget execution matrix end to end, - including clean-checkout completion receipts, exact source-question coverage, privacy-safe - export binding, matched `context_k=2` comparators, and memory-type count evidence. - -### Added - -- Dashboard Settings panel and startup banner now display the running Engraphis - version, fetched from the existing `/api/info` endpoint. - -### Fixed - -- Wrap `engraphis_get_memory` post-inspect body in error-redaction try/except - matching all other Smart gateway tools, preventing internal SQL errors and - file paths from leaking through FastMCP error responses. -- Fix malformed SQLite URI on Windows in `_keyword_search` and `/api/memories` - fallback paths: use `Path.resolve().as_uri()` instead of bare string - interpolation, matching the store's URI construction. -- Apply `_graph_csv()` limit enforcement to the `/graph` endpoint's `layers` - parameter, matching all other graph endpoints. -- Log a warning when `ENGRAPHIS_LLM_EXTRA_HEADERS` contains invalid JSON - instead of silently dropping the headers. - -## [1.5] - 2026-08-04 - -Minor release advancing the v2 engine to schema 11 with governed recall recovery, -embedding-space safety, reproducible release evidence, and stronger offline memory-quality gates. - -### Security - -- Add opt-in immutable Hugging Face model provenance enforcement for remote embedding models, - rerankers, and chunk tokenizers, with revision plumbing across v2 services and local front ends; - model loaders now explicitly disable remote code execution while local paths remain supported. -- Refuse redirects in loopback startup-health and PyPI metadata probes, and treat shortcut icon - paths as data across PowerShell, macOS shells, and Linux desktop files. -- Add an offline release gate proving that quarantined, review-pending, and caller-self-approved - external content is downgraded and stays outside prompt recall, including direct poisoned - edges and pending-memory-supported edges, while trusted graph evidence remains available. -- Reject control characters in hosted access and refresh credentials, including credentials - returned during rotation, before any network or persistent-state use. -- Restrict the Inspector API to loopback clients when no API token is configured, and exclude - pending or quarantined memories from managed-cloud snapshots. -- Harden update checks with bounded, link-safe cache reads, atomic private cache writes, strict - version limits, finite timestamps, and validated HTTPS or loopback-HTTP URLs. -- Route private credential and state-file reads through one bounded, race-resistant boundary that - rejects links, reparse points, non-regular files, invalid UTF-8, and oversized input. -- Raise the optional `cryptography` floor to 50.0.0 to exclude known vulnerable releases. -- Require the patched pytest line in supported release environments and give every CI pytest - invocation a private runner-owned temporary root, including the Python 3.9 compatibility lane. - -### Fixed - -- In schema 11, migrate pre-review trusted memories to explicit approval without releasing quarantined or - ambiguous evidence; recover the exact historical local-agent service-gate downgrade and expose - content-free eligibility diagnostics when review gating causes zero-result recall. -- Replace per-backend vector version checks with one active embedding-space fingerprint, make - Sentence Transformer/API spaces durable, rebuild on every space transition (including - A -> B -> A), and disable vector recall throughout interrupted or mixed-space rebuilds. -- Describe the stable sqlite-vec backend accurately as native exact KNN, add a dedicated - `vector` install extra, require the upstream release containing the vec0 delete fix, - and let server entrypoints select it automatically with a safe NumPy fallback. -- Make contradiction supersession failure-atomic so a failed predecessor invalidation cannot - leave two live facts. -- Bound reinforcement stability and migrate existing out-of-range retention state to schema 10. -- Preserve v1 graph endpoints during migration and publish migrated databases only after a - validated staging database is complete. -- Reject partial API embedding batches instead of persisting zero-vector placeholders; give - semantic embedding spaces durable, secret-free identities; and batch SQLite vector hydration. -- Prevent CLI metadata from overriding trusted local provenance and honor the selected namespace - for grounded chat. -- Keep service replacement atomic when the prior SQLite handle cannot close, and make - authoritative cloud denials fail closed in-process before their durable state writes complete. -- Keep tag publication reachable by defining every workflow-verified release check in the public - evidence manifest, including CodeQL, reproducible distributions, and fresh artifact smokes, and - bind the evidence provenance to the completed code-security job. -- Repair GitHub releases only from the frozen, hash-verified distribution set, excluding any - publisher receipt or other unverified file left in the working distribution directory. -- Exercise both the exact tagged wheel and source distribution in clean Python 3.9 environments, - including dependency resolution, pip check, core CLI startup, and in-memory remember/recall; - declare the CI build and vulnerability-audit tool versions instead of relying on runner images. -- Eliminate duplicate NumPy vector writes and commits after ordinary remembers, embedding rebuilds, - sync application, and title re-embedding. Store-backed indexes opt out only when they share the - exact canonical Store; separately-backed and injected indexes retain explicit synchronization. -- Replace row-by-row NumPy scan hydration with one filtered, fixed-width matrix read while - preserving temporal/scope filters, malformed-dimension isolation, deterministic ties, and - immediate visibility of newly written vectors. -- Surface best-effort graph, entity-linking, evolution, conflict-repair, and index-audit failures as - per-engine rate-limited, payload-redacted warnings instead of silently suppressing operational - faults. -- Honor the configured embedding dimension, vector backend, model revisions, reranker, and encrypted - connection path consistently across every v2 front end and the sync/consolidation CLIs, preventing - an operational command from accidentally rebuilding a persisted semantic space with defaults. -- Commit standalone entity links without closing a caller-owned transaction, and make the Windows - shortcut installer retain its redacted Desktop launcher fallback when PowerShell is unavailable. -- Serialize and make Store shutdown idempotent, add context-manager and weakref-finalizer cleanup, - and keep the offline suite from loading production embedding/reranker models merely because a - developer has optional semantic dependencies installed. - -### Added - -- Extend `eval.vector_scale` with input-identical NumPy/sqlite-vec exact-KNN comparisons, - explicit backend identity, deterministic result hashes, and setup-excluded latency envelopes. -- Add `engraphis-cli review list|approve` for content-free, scoped bulk review. Approval is - dry-run by default, requires a reason and one batch confirmation, excludes quarantined records, - and supports explicit ids, source/repo filters, and the legacy-agent signature. -- Add embedding coverage and prompt-eligibility health to service stats, stamp service ingress and - writer-policy provenance, and document recall recovery without direct database surgery. -- Add deterministic reinforcement and adversarial-memory release gates plus a hash-bound LoCoMo - evidence-repair manifest and complete pinned-dataset retrieval diagnostics. -- Pin the Pyright contract for core, backends, and external evaluation; require it in CI and release - evidence; verify distribution contents; generate a reproducible CycloneDX SBOM; byte-compare - normalized repeat builds; smoke fresh wheel/sdist installs; and bind complete-tree CodeQL to the - tag gate. -- Smoke all 14 installed console entrypoints from their distribution metadata and generated wrapper - paths for both wheel and source-distribution installs, with bounded timeouts and diagnostics. -- Add opt-in semantic-confidence calibration for retrieval-arm experiments while preserving the - existing default ranking until paired external non-inferiority evidence is available. - -## [1.4.5] - 2026-08-04 - -Patch release aligning the package, runtime, commercial manifest, and plugin metadata at 1.4.5 -for the governed recall/write hardening, schema 8 migration, Smart MCP gateway fixes, and -credential-safe evaluation capture included in PR #111. -Schema 9 adds repository-scoped tombstone support and performs a one-time entity-canonicalization -repair; `confidence` and `pinned_at`/`unpinned_at` were introduced by the preceding v7-to-v8 -migration. Known-repository tombstones are terminal only within that repository, while legacy -repo-less tombstones remain global. - -## [1.4.0] - 2026-08-02 - -Engraphis 1.4 makes the compact Smart MCP gateway the default agent interface while preserving -the complete Classic surface for existing integrations. It also strengthens external-write -governance, -bounded context delivery, secure erasure, and release/runtime hardening, and moves the v2 SQLite -schema to version 9 (schema-level additions include repository-scoped `memory_tombstones`; the -upgrade also performs a one-time entity-canonicalization repair), which migrates automatically on -first open. Known-repository tombstones are terminal only within that repository; legacy repo-less -tombstones remain global. - -### Upgrade notes - -- `engraphis-mcp` now exposes nine Smart tools instead of 34 direct tools. Clients that depend on - the former names should switch their server command to `engraphis-mcp-classic`; HTTP clients can - use `engraphis-mcp-http --classic`. -- Existing v2 databases migrate automatically to schema 9 on first open; the change is additive - and requires no manual step. -- The NumPy-only core supports Python 3.9+. Dashboard, MCP, documents, Cloud Sync, and `all` - installations require Python 3.10+ because their supported dependency versions require it. - -### Added - -- Smart MCP is now the zero-configuration `engraphis-mcp` default. It exposes nine compact tools: - sessions, prompt-ready recall, durable memory, discovery, validated read/action execution, and - governed record read/update plus conflict review. `engraphis-mcp-classic` preserves the former 34 - direct tool names and legacy alias response shapes for pinned integrations. -- The first-party `@engraphis/pi` package under `integrations/pi` exposes that Smart MCP surface - as native Pi tools, verifies the Engraphis 1.4.x handshake, and ships with independent npm - packaging and release gates. -- Hosts that retain their own conversation history can call the non-MCP - `POST /api/adaptive-context` endpoint. Advanced proactive context also supports a bounded, - content-lean compact response while Classic keeps its full response by default. -- Opt-in planned recall adds a bounded deterministic planner, an injectable planner protocol and - optional LLM backend, priority-weighted multi-query RRF, post-rerank memory-type maxima, stable - context revisions, and diagnostics-only planner traces across Python, service, REST, and MCP - recall surfaces. The default remains the existing single-query path (now on schema 9). -- A 40-task context-routing stress fixture, four-way five-budget ablation harness, pinned - LongMemEval-V2 planner configurations, and evaluation-only imported-resource hierarchy prototype - encode local regression gates and matrix tooling. Official benchmark, safety, and hosted-cache - artifacts remain mandatory before any default or schema change. - -### Security - -- The Pi extension preserves the Smart gateway's destructive boundary: every discovered - state-changing action requires an explicit Pi confirmation, fails closed without a dialog, - and consumes its capability after one approval attempt so unknown outcomes are not retried. -- Public writes now enter an explicit review gate: MCP, REST/dashboard-intent, import, sync, and - extractor ingress are pending regardless of a caller-supplied trust label; detector matches are - quarantined before they can contribute to prompt context or derived state. Human approval creates - a fresh audited successor only through the CSRF-bound dashboard action or an interactive TTY - command, never through MCP or a general REST endpoint. Historical rescans demote non-approved - records and retire their derived bridges. Public history, graph/code retrieval and indexing, and - consolidation apply prompt eligibility before ranking or capacity decisions, so pending or - quarantined records cannot influence prompt-visible results through derived bridges. -- Smart MCP authorization now fails closed: discovery and read execution require viewer access, - state-changing execution requires admin access remotely, and pure reads do not emit write-side - telemetry receipts. Executor output is bounded without retrying or double-running handlers. -- Tokenless remote requests to the read-only recall and repository-graph API now fail closed; - health and OpenAPI discovery remain public. -- The deterministic detector now uses a pinned Unicode TR39 15.1.0 ASCII projection rather than - a short hand-picked table, covering additional Latin, Cyrillic, Greek, mathematical, and legacy - glyph substitutions without an online lookup or runtime dependency. -- Secret scanning is cycle-safe and depth-bounded, and PostgreSQL source identities are reduced to - credential-free digests for both URI and libpq keyword DSNs. - -### Fixed - -- Secure erase now rebuilds shared-edge provenance from surviving support rows. Historical-only - support remains available to time-travel reads while the edge is closed in the current graph. -- API embedding backends now validate dimensions, response cardinality, item indices, finite - values, and normalization before accepting provider output, with consistent bounded fallback. -- Planned-recall datasets reject dangling references, vector dimensions are bounded across local - and SQLite backends, and sync imports accept pinned state only when it is the literal boolean - `true`. -- The production image now removes build-only pip and its vendored dependency snapshot after - installation, eliminating unreachable vulnerable packages from the runtime attack surface. -- Automatic LLM retention supervision now discards proposed retention values when it - demotes an unapproved `critical` label; legacy poisoning rescans also honor - `--keep-unlabelled`, and code-memory exports apply eligibility before their result cap. -- Scope promotion now preserves an owner-approved detector match and its stable claim identity - without re-quarantining the approved derived copy. -- `engraphis connect` now treats its printed summary as a provider trust boundary: only bounded, - printable registration metadata is rendered, preventing malformed control-plane values from - being reflected into CLI or JSON output. -- Explicit local `engraphis-cli ingest` commands now record local-owner-approved provenance, - allowing their memories to appear in ordinary subsequent CLI recall. HTTP, MCP, import, and - file-ingestion boundaries remain pending review. -- The standalone v1→v2 migrator now refuses in-place and pre-existing output paths before - opening either database, preventing accidental mixing of legacy source history into a v2 target. -- Cloud Sync now closes failed HTTP response streams without reading their untrusted error bodies, - preventing descriptor leaks during repeated relay failures. -- Hosted customer clients now bind provider credential/session state before persistence and - preserve sanitized authorization/billing outcomes when an HTTP error body is truncated, so a - one-time connection cannot be stranded by an unreadable state file or retain stale paid badges. -- Authoritative hosted managed-compute authorization denials now immediately settle local - entitlement presentation state, so a revoked, lapsed, or de-authorized account is not shown - stale paid feature access while awaiting a background refresh. -- The production image health probe now follows the active IPv4 or IPv6 loopback listener, - preventing a Railway IPv6 deployment from being marked unhealthy while its readiness route - is serving traffic. -- Grounded recall's absolute support floor ignores titles and non-finite semantic scores, so - display text cannot independently make an answer eligible. -- Keyed-claim deduplication ignores harmless punctuation, and legacy zero, negative, or non-finite - stability values use the documented one-day default instead of producing invalid decay scores. -- Approval requires a non-empty audit reason, accepts only a live pending source, and preserves the - reviewed claim's pin, sensitivity, and keyed identity on its approved successor. -- The zero-config Compose quickstart remains loopback-only; a LAN deployment is an explicit, - token-protected operator choice and cannot inherit the local Docker bridge trust exception. -- Credential-shaped values are rejected before capture can create memory, FTS, vector, event, or - sync copies. `retire` is the canonical temporal lifecycle operation; targeted `secure_erase` - removes an already-leaked record and known local derivatives while reporting physical limits. -- The standalone MCP-over-HTTP launcher is explicitly loopback-only. Remote MCP clients must use - the dashboard's authenticated `/mcp` endpoint instead of an unauthenticated FastMCP bind. - -### Changed - -- MCP-over-HTTP has a packaged `engraphis-mcp-http` command and a generic local setup guide. The - project makes no client-specific integration claim without a maintained guide and integration - test. -- `.env.example` now mirrors runtime defaults for decay, context packing, loop cadence, and recall - depth so copied configurations do not silently override the documented behavior. - -## [1.3.0] - 2026-08-01 - -### Added - -- The optional `hosted-eval` extra adds guarded hosted-Luna productivity evaluation with a - redacted public evidence exporter. -- Protected public benchmark workflows now support redacted hosted and retrieval evidence runs. - -### Security - -- Untrusted ingress now fails closed: provenance and extractor metadata are allowlisted, suspicious - records are quarantined before embedding, linking, graph extraction, resolution, recall, or - grounding, and `scripts/rescan_poisoning.py` can retroactively label or quarantine old records. -- Trust is preserved across resolution, structured graph writes, consolidation, entity profiles, - and review paths. Untrusted records cannot mutate or promote trusted memory, and derived outputs - remain trusted only when every source is explicitly trusted. - -### Documentation - -- README and release guidance now match the current install extras, public entry points, product - boundaries, and focused MCP/provider documentation. - -### Fixed - -- Public server entry points now share the v2 service, keeping recall behavior consistent across - the dashboard, server, Compose, Classic, and MCP-over-HTTP. -- Keyed mutable-fact replacements now load their live predecessor directly, so reworded updates - preserve history without relying on vector top-K recall. -- Versioned deterministic embeddings now rebuild persisted vectors after a mapping change, keeping - existing databases searchable after an upgrade. -- Prompt-facing recall now widens candidate search when untrusted results crowd out trusted - evidence, while keeping expansion bounded. Title text now contributes to absolute support floors - for grounded and hosted recall. -- Hosted productivity evaluation now scores canonical, acceptable, or supporting-evidence answers - with strict natural-language framing instead of token containment or raw JSON text. -- Hosted-Luna workers on Windows now establish kill-on-close containment before sending input; a - failure refuses the request, and timeouts clean up the full worker tree. -- Poisoning rescans preserve existing temporal validity boundaries and invalidate affected edges - without overwriting governed history. - -### Changed - -- CI and release/install metadata now cover Python 3.13 and 3.14. - -## [1.2.5] - 2026-07-31 - -### Added - -- `engraphis_context_savings` aggregates validated, content-free recall receipts by workspace, - repo, operation, and token-counter identity. The view is available through the service, - dashboard, and read-only APIs. -- Recall supports an explicit adaptive candidate-depth experiment while retaining the historical - fixed depth by default. Performance reports record requested and actual candidate depths. -- `MemoryEngine` and `MemoryService` now provide adaptive context routing: bypass retrieval when - prompt history fits, use compact recall when support is strong, and fall back to bounded recent - history when support is weak. -- `eval.productivity` measures task completion, corrections, agent turns, memory calls, latency, - and model-facing tokens. -- Chunk ingestion can enforce budgets with a configured Hugging Face tokenizer and records the - counter identity, target, and overlap in chunk metadata. -- Offline adapters now cover MemoryAgentBench, LoCoMo-Plus, and Mem2ActBench, with a paired - full-history versus Engraphis code-agent analyzer. -- Public benchmark evidence can carry source hashes, repository state, environment and model - provenance, secret-redacted commands and URLs, content digests, and adjacent immutable SHA-256 - files. - -### Changed - -- Context-economy evaluation now compares full history, a same-budget recency window, and hybrid - recall while accounting for indexing cost. -- Official LongMemEval-V2 output has a dedicated redacted evidence exporter that retains the - official QA, token, and latency measures without publishing prompts, answers, model output, or - retrieved context. -- Folder-sync dry runs no longer create a remote directory or persist a local device identity. - -### Fixed - -- Sync rejects malformed scope/repo combinations and every peer-driven visibility change for an - existing memory, including malformed legacy rows. Scope promotion or repair remains a local, - explicit governance operation. -- Workspace consolidation excludes session-private memories and partitions digests and entity - profiles by their exact visibility owner, preventing cross-repo or cross-scope summaries. -- Tokenizer-aware chunk overlap can no longer exceed the configured prose budget or emit a - duplicate overlap-only record before an oversized paragraph. Invalid token counters fail - closed instead of silently producing mis-sized chunks. -- Ledger graph interactions preserve manually selected nodes during refreshes. -- The new evidence guide is included in wheel and source distributions. - -## [1.2.2] - 2026-07-30 - -### Fixed - -- Cloud Sync now continues past legacy plaintext, malformed, and tampered relay objects while - still failing closed for each object. Later authenticated peer bundles apply, and the affected - sync round is explicitly reported as incomplete rather than successful. -- Security and sync documentation now consistently distinguish end-to-end encrypted Cloud Sync - from the separately readable managed-compute snapshot service. -- README visual PNG exports now use their SVG canvas dimensions without hidden screenshot padding. - -## [1.2.1] - 2026-07-30 - -### Security - -- Cloud Sync now encrypts every eligible shared-workspace bundle on the client with - ChaCha20-Poly1305 before upload. The relay receives opaque deterministic bundle names and - ciphertext only; tampered, renamed, cross-workspace, wrong-key, and legacy plaintext bundles - are rejected before the merge engine. -- Cloud Sync requires a client-held 32-byte workspace key and the `cloud-sync` optional runtime. - Missing or malformed encryption configuration stops sync rather than falling back to plaintext. - -### Changed - -- Cloud Sync privacy copy now states that eligible shared-workspace changes are encrypted - end-to-end before leaving the device and cannot be read by Engraphis Cloud. Product and - security documentation separately identifies managed compute as the readable, bounded-snapshot - service it is. - -## [1.2.0] - 2026-07-30 - -### Added - -- `engraphis_recall_context` brings the MCP surface to 30 tools and is the compact, hard-budget - path for agent prompts. It returns packed context, compact source identities, strict token usage - fields, optional retrieval diagnostics, and preserves `engraphis_recall` as the full-response - compatibility surface. -- Recall and grounded recall now expose `valid_at` (world time) and `known_at` (system time); - `as_of` remains the compatible `valid_at` alias and conflicting anchors are rejected. Retrieval - defaults to the `balanced` profile; `auto` remains explicit opt-in. -- MCP and HTTP remember calls can set a fact's world-time `valid_from`; recall, grounded recall, - and the compatibility answer tool can run a point-in-time `as_of` query. -- `eval.performance` reports full recall-pipeline quality, packed context tokens, and - p50/p95/p99 latency with a reproducible JSON schema and deterministic corpus scaling. -- Schema v5 adds temporal history for symbols, code edges, code-memory links, and persisted - memory-entity incidence. Code retrieval is now a first-class profile, and graph walks use - bounded sparse PageRank instead of a dense quadratic transition matrix. -- Optional `subject_key` and `claim_kind` make mutable claims explicit. Uncertain similar facts - are conservatively related while keyed or strongly evidenced contradictions supersede. -- `engraphis-benchmark/v2`, canonical workspace exports, and release-evidence manifests provide - deterministic hashes, per-question records, fixed token-budget curves, and validation before - public evidence is written. - -### Fixed - -- Supersessions now close the old fact at the replacement's effective world time instead of its - ingestion time. Superseded, corrected, promoted, merged, forgotten, and consolidated source - vectors remain available to historical semantic recall while temporal filters keep them out of - the current view. -- Non-finite write and recall timestamps fail validation instead of entering scoring or SQLite. -- Ordinary recall is observational by default, so weak nearest-neighbor results do not gain - stability merely by being returned. Grounded recall still reinforces only cited evidence, and - Python callers with an explicit use signal can request reinforcement. -- Code and PPR retrieval now restrict incident-symbol and memory-entity lookups to the reachable - frontier before applying their safety caps, and repo writes link text mentions to visible - workspace-level entities. - -## [1.1.5] - 2026-07-28 - -### Changed - -- Simplified the Ledger and Classic graph controls by removing the complete-graph action. -- Replaced the README Knowledge Graph image with the corrected Ledger screenshot. - -### Fixed - -- Ledger now has one working `Show unlinked nodes` control that reloads the intended bounded - graph view. -- Time-travel graph views prioritize support visible at the selected anchor, and graph drag - handling remains safe when browser animation-frame globals are unavailable. - -## [1.1.2] - 2026-07-27 - -### Added - -- **The complete Ledger design is now the primary local WebUI**, ported from the final - five-area design package without its sample store or unsafe design runtime. Today, grounded - Ask, Library, the advanced Graph & Relations view, Provenance, and Manage all use live v2 data. - Manage includes workspaces, reviewed local consolidation, hosted Analytics/Automation/Team - status, the full plan comparison, settings, and persisted Slate, Midnight, Paper, and Matrix - themes. -- Ledger now exposes the production grounded-answer route (`POST /api/answer`), returning a - cited answer or an explicit abstention. Graph & Relations ships the supplied graph capabilities: - five layouts, four render styles, palettes, degree/betweenness sizing, bridge detection, - valid-time filtering, superseded ghosts, focus, and automatic cluster collapse. -- The complete former dashboard remains available at `/classic`. Both interfaces expose a - visible dashboard selector and share the same workspaces, memories, receipts, and engine. - -### Changed - -- Ledger defers both the CSP-sensitive renderer and graph payload until Graph & Relations is opened, - ignores stale workspace responses, renders memory text through DOM text nodes, and provides - responsive, reduced-motion-aware keyboard focus styling. Classic loads its lazy graph vendor - dependency from its own packaged backup tree. -- Graph nodes now use oversampled, cached screen-space material rendering with face-level - texture: full-face iridescent PVD for Cyber, directional blue-violet anodizing for Galaxy, - concentric brushed copper for Solar, and horizontal satin gunmetal grain for Classic, with - deterministic low-detail fallbacks for large graphs. -- Dashboard asset URLs now carry the node-material revision and local static responses - revalidate, preventing an already-open browser from pinning the pre-material renderer. -- Pro and Team purchase actions now preserve both the selected plan and billing interval, while - existing or lapsed subscribers are sent to the plan-neutral account portal for billing recovery. - Public documentation now distinguishes hosted-account grace and recovery behavior from the - always-local, Apache-licensed dashboard and MCP write paths. - -### Fixed - -- Token-protected dashboards can now establish a short-lived signed, HttpOnly browser session - without storing the API token in browser storage. Remote peers remain denied when no token is - configured, and non-loopback v1 server startup is refused unless authentication is enabled. -- Hosted entitlement refreshes use bounded exponential backoff, terminal denials settle every - local entitlement view, inactive sessions expose no paid feature flags, and ambiguous - single-use refresh responses permanently retire the possibly spent credential instead of - replaying it. -- Recommended Automation bootstrap is resumable across partial upload/policy-save failures and - authorizes paid work before generating or locking a local snapshot. -- Release checks now enforce commercial prices and trial terms, expose skipped tests instead of - hiding them behind duplicate quiet flags, and verify the full-stack dependency imports used by - the HTTP authorization boundary. - -### Security - -- Credential state directories are owner-only, product token forms are redacted consistently - from logs, checkout overrides fail closed to validated HTTPS or loopback HTTP destinations, and - unsafe control characters can no longer reform blocked browser URL schemes. - -## [1.1.0] - 2026-07-26 - -Public 1.1.0 hosted-connect and graph-experience release. - -### Added - -- **`engraphis connect --token engr_ct_…`**: the missing client half of device connect. - `cloud_session.save_bootstrap()` is the only writer of `~/.engraphis/cloud_session.json`, - and it had no production caller: the docs told paying customers to prefer a file nothing - created, so a purchased installation could not be connected without hand-writing state. - The new command redeems the one-time connect token from the account portal against - `POST /v1/devices/connect`, saves the returned session with owner-only permissions, and - verifies `cloud_session.configured()` before reporting success. The token is sent in the - request body and nowhere else; it is never printed, logged, or written to disk, and every - refusal maps to fixed, actionable copy (an expired or already-used token is not confused - with a lapsed subscription). Session storage is pre-flighted before the exchange, so an - unwritable state directory or a `cloud_session.json` replaced by a link fails the command - *without* spending the single-use token; the customer fixes the path and retries with the - same token instead of returning to the portal for a new one. Faults that can only happen - *after* the exchange: a reply truncated mid-body (`http.client.IncompleteRead`), or an - endpoint that stops resolving before the session is written (`CloudUrlUnresolved`) are - reported as errors that say the token was already used, rather than escaping as tracebacks - that leave the customer unable to tell whether to retry. Also installed as - `engraphis-connect`. -- An `engraphis` front-door command that dispatches to the existing `engraphis-` - entry points, so the command the account portal displays is runnable as shown. -- A stable per-installation identity at `~/.engraphis/client_identity.json` (random ULIDs, - not a hardware fingerprint) so reconnecting a machine updates its existing installation - instead of registering a new device every time. - -### Removed - -- Removed an unimplemented hosted export claim from public product surfaces. - -### Changed - -- Managed compute consent now travels with the cloud account: an installation connected to - Engraphis Cloud is enabled for managed analytics, dreaming, and consolidation **by - default**, because connecting already accepts the terms that cover it. A local-only - installation with no cloud session is still never allowed. - `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` remains as an explicit operator override (`=0` opts a - connected installation back out, `=1` forces it on regardless of session state) and is no - longer surfaced anywhere in the UI. - -## [1.0.1] - 2026-07-24 - -Public 1.0.1 client reliability release. - -### Fixed - -- Cloud Sync now defaults to `https://relay.engraphis.com` and safely migrates the former - dashboard host and retired Railway relay URL without changing customer-provided relay URLs. -- Default Pro and Team upgrade links now target the live authenticated account portal rather - than the retired Team dashboard host. -- Hosted endpoint validation now fails closed unless DNS establishes a globally routable - destination, and credential-bearing HTTPS connections pin the vetted address while preserving - original-host TLS verification to prevent DNS-rebinding SSRF. -- Hosted Automation and maintenance requests now use the selected workspace end to end rather - than silently falling back to the first workspace. -- The Automation tab has one proposal action, clear managed-upload disclosure, and explicit - managed-compute consent in addition to entitlement checks, snapshot redaction, and limits. -- Commercial metadata now describes Pro as one owner account across that owner's local - installations, matching the hosted entitlement model; Team remains billed per named seat. -- API error responses and provider logs no longer expose arbitrary exception or configuration - text; local folder and repository reads resolve and re-check filesystem boundaries. -- Entity extraction and dashboard asset migration avoid adversarial regular-expression - backtracking. CodeQL now disables pull-request diff-informed analysis and CI fails on every - raw SARIF result, including pre-existing and source-suppressed results. -- The documented grounded-recall evaluation prints with the default Windows console encoding. -- Hosted Pro and Team links preserve the selected plan through account creation and Checkout. -- A total `401`/`402`/`403` Cloud Sync authorization loss restores the hosted recovery CTA, - while a successful empty or read-only workspace remains a partial result instead of being - misreported as a total denial. - -## [1.0.0] - 2026-07-23 - -Public 1.0.0 open-core GA release. - -### Added - -- The search-first Galaxy Knowledge Graph explorer with deterministic communities, canonical - evidence-weighted scenes, entity/relation search, temporal filtering, evidence and history - inspection, strongest-evidence paths, synchronized accessible tables, saved scene state, - local PNG/JSON/CSV export, Simple and Advanced views, and a locally bundled ForceGraph + D3 renderer - under the strict same-origin CSP. -- Additive schema-v4 canonical identity and bi-temporal edge-support records; deterministic - graph scene, suggestion, entity, and path APIs; and a persisted graph-index job with dry-run, - progress, cancellation, bounded errors, audit records, and tamper-evident receipts. -- A 29-tool MCP surface with explicit behavior annotations, operation receipts, exact session - retry semantics, portable plugin manifests, and checksummed skill assets. -- Customer-side hosted protocols for scoped Cloud Sync, rotating cloud sessions, Analytics, - and managed Automation requests, plus explicit manual folder exchange for local workflows. - -### Changed - -- The public distribution is a universal Python open-core package that runs only as a customer - node. Hosted authorization, billing, relay storage, managed compute, Team identity, workers, - and vendor operations remain private services. -- Commercial compatibility modules now expose presentation and customer-protocol metadata only; - no environment variable turns the public package into a hosted Engraphis service. -- Session identity is exact across workspace, repo, authenticated user, agent, and goal; callers - can request a distinct run with `force_new=true` and observe retry reuse explicitly. -- The legacy graph view defaults to deterministic community islands, keeps sparse influence - bridges subordinate, and renders bounded A-MEM links when entity extraction is disabled. The - repository screen demo proves session handoff, bi-temporal supersession, recall evidence, and - history without an external service. -- The hosted no-card trial is exactly 3 active days after email confirmation. A separate - `workspace_write_grace` may preserve ordinary local writes for at most 24 hours but never - extends trial or paid cloud access. -- Apache-2.0 rights in published releases remain irrevocable; proprietary hosted value is - enforced by the private implementation and service authorization boundary. - -### Fixed - -- Session start/end and session-scoped writes are atomic under concurrency; exact retries reuse - one session while intentionally separate runs remain distinct. -- Rotating refresh credentials serialize across threads and processes, persist replacements in - owner-only state, close failed HTTP responses, and never regress to a stale bootstrap value. -- Managed snapshots reserve a monotonic generation in the same local write transaction as the - capture, use one operation ID per run and retry, redact provider errors, reject unknown - sensitivity, exclude session and secret data, and enforce exact record/byte limits. -- Graph reads, suggestions, evidence, history, indexing, exports, audit views, fallback search, - and workspace statistics consistently enforce workspace and session boundaries, including - forgotten session-only graph evidence. -- Windows private-state validation uses safe file metadata checks without weakening symlink, - ownership, size, or atomic-publication protections. -- Recall graph seeding uses one boundary-aware compiled pattern instead of rescanning every - memory per entity, and the streamable HTTP launcher warms the singleton service before - accepting clients. -- Graph GET requests remain read-only and return a rebuilding conflict while an explicit - mutating index job is in progress. - -### Security - -- Bare memory IDs, shared-workspace controls, graph entities, statistics, snapshots, exports, - audit rows, and keyword fallbacks cannot cross authenticated session or workspace boundaries. -- Managed uploads require explicit customer consent, are capped at 16 MiB and 100,000 rows, - omit all session-scoped and secret-class memories, and surface only fixed client-safe - provider errors. -- Customer credentials remain owner-only, redirect-safe, serialized during rotation, and are - never substituted with an unproven local machine identifier. - -## [0.9.9] - 2026-07-18 - -Security and reliability release spanning graph isolation and performance, Team / Pro -authentication, licensing and relay behavior, and the redesigned Knowledge Graph. - -### Security - -- Code-graph search, path, impact, export, and unified-graph reads now apply the same - workspace/repo/session hierarchy filter as recall. Session-scoped memory content and - identifiers previously remained reachable through persisted code-memory links from a - repo-level caller. Reindexing still rebuilds those links for the owning session, but - every read now filters them by caller-visible scope. -- Auth-bound dashboard users can no longer omit `workspace` to reach global recall. - Inspector per-user and deployment bearer tokens now bind real or synthetic identities - before personal receipt reads, so the deployment service account remains available for - shared automation without bypassing personal-folder ownership. The standalone - read-only graph endpoint also disables lazy write-on-read backfill. -- Repository indexing now creates a first-time Team workspace through the same - privacy-aware path as remember/import/session writes, instead of silently creating a - shared, unowned folder for the authenticated user. - -### Fixed - -- Code-graph layer responses and filters now use the concrete persisted layer, including - inferred causal relations and explicitly semantic code edges. Code-memory link rebuilds - page through every live repo-associated memory instead of clearing the bridge and - stopping at 5,000, and Git impact parsing uses NUL-delimited paths without rewriting - valid filename characters. -- Graph layer predicates are applied before workspace and code-edge response caps, and an - explicit all-off layer selection remains empty instead of reverting to every layer. - Layout preset and custom link-distance changes also recompute component centers while - preserving the existing graph data and node objects. - Filter reloads also tolerate transient graph-data invalidation, so restoring layers - redraws the canvas instead of leaving the explorer list beside an empty graph. -- Oversized audio/video resources are rejected before transcription begins. A blank - `ENGRAPHIS_GRAPH_TOKEN` now correctly falls back to `ENGRAPHIS_API_TOKEN`. -- The sync relay now has its own per-IP token bucket - (`ENGRAPHIS_RELAY_RATE_PER_MINUTE`, default 600) instead of sharing the - 60-request/minute license-registration budget. A full 64-bundle sync round can complete - without throttling its final requests, while invalid-key floods remain bounded before - Ed25519 verification. -- Every `/start-trial/verify` response (success, each error, and the 429) sends - `Cache-Control: no-store` and `Referrer-Policy: no-referrer`. The request URL carries - the one-time token, so the error pages are as Referer-leaky as the success page that - holds the key; they previously used separate inline header literals and had drifted. - -### Changed - -- `GET /api/auth/users` checks `admin` at the route, matching `auth.min_role()`. The - middleware already enforced admin, so this is defense in depth with no behaviour change; - the route previously said `member`, which was dead code that misrepresented the policy. -- Successful version-tag publication now creates the matching GitHub Release and attaches - the same validated wheel and source distribution sent to PyPI. Manual workflow dispatch - remains build/check-only, and the release job is tag-gated behind successful PyPI - publication. -- The Knowledge Graph defaults to compact component-aware packing and adds community, - radial, constellation, original, and custom layouts; selectable Cyberpunk, Galaxy, - Solar system, and Classic visual styles with persisted palettes; per-type node colors; - a synchronized keyboard-accessible explorer; collision-aware labels; and responsive - controls. Large graphs reuse rendered data, cap explorer DOM rows, reduce animation - work, and suppress expensive dense-graph effects. -- The duplicate global Recall shortcut was removed from the dashboard header. Recall - remains available in the Memory Operations sidebar and from contextual page actions. -- The README documentation was expanded to clarify note-link graphs, agent memory, code - awareness, encryption, and sleep-time consolidation without making unmeasured product - comparisons. -- The README now documents Command Code CLI as an MCP-native client and includes its - verified stdio registration command. - -## [0.9.8] - 2026-07-18 - -Hardening release focused on dependable installation, upgrades, startup, dashboard use, -and safe hosted deployment. - -### Security - -- Every entrypoint sends baseline response headers: CSP, `X-Frame-Options: DENY`, - `X-Content-Type-Options`, `Referrer-Policy`, `Permissions-Policy`, and HSTS over HTTPS - only. Override with `ENGRAPHIS_CSP` / `ENGRAPHIS_HSTS`; set either to an empty string to - omit that header where a fronting proxy supplies its own. -- Loopback/bootstrap trust now rejects all common forwarding metadata, including - `X-Forwarded-Proto`; a same-host TLS proxy can no longer make an internet request - look like an unproxied local setup request. -- Inspector first-admin setup now uses the auth store's atomic empty-database gate, so - concurrent different-email requests cannot both create administrators. - -### Added - -- MCP clients now receive canonical recall, session, durable-memory, and handoff guidance - through the server's initialization instructions. -- The dashboard exposes a small `/api` service index, and the graph CLI documents its - public commands without showing the internal merge-driver command. -- Regression coverage now exercises the sqlite-vec backend, workspace-aware entity recall, - installed database migration, encryption packaging, CLI startup, update paths, and release - artifacts. - -### Changed - -- Installed builds now keep the default database in the platform user-data directory. - Existing package-directory databases are copied with SQLite's backup API, validated, and - preserved as recovery copies; source checkouts retain their repository-local default. -- `engraphis-update` discovers the highest stable SemVer tag, validates explicit versions, - fails closed on fetch errors, refuses dirty editable worktrees, and keeps pip, pipx, Git, - and documents the source-rebuild path for locally built Docker images. -- Dashboard styling and navigation were reworked with five selectable themes, responsive - mobile behavior, semantic landmarks, improved keyboard focus, clearer confirmations, and - fully self-hosted browser assets. -- Console launchers now validate arguments before optional imports, report actionable startup - failures, display reachable IPv4/IPv6 URLs and resolved database paths, and advertise the - current dashboard and API routes. -- Optional-dependency bounds and extras were refreshed. The cross-platform `all` extra no - longer pulls the platform-limited SQLCipher driver, while encryption continues to fail - closed when no compatible driver is available. -- The release workflow now pins actions by commit, runs the full test/evaluation and package - validation gates, matches release tags to package versions, and reserves publishing for - validated tag pushes. Bundled browser-library license notices are included in distributions. -- Installation, hosting, sync, graph-query, MCP tool-count, and database-location guidance was - synchronized with the current commands and runtime behavior. - -### Fixed - -- Installed `engraphis-init` configuration is now loaded from the current directory's - `.env` without parent traversal, while explicit environment variables retain precedence. - Upgrading no longer opens a fresh platform-default database instead of the database the - user selected through `engraphis-init`. -- A failed dashboard memory-detail request can no longer retain a prior memory identity or - leave write controls enabled, preventing a later Save from modifying the wrong memory. -- A fresh hosted deployment now renders an actionable, non-data bootstrap screen when remote - API access is denied by default; it offers the safe Team-trial path or deployment-variable - setup without exposing account-wide license activation to a signed-out browser. -- Dashboard, REST, Inspector, MCP, licensing, sync, billing, and provider failures now return - bounded user-facing messages rather than raw exceptions or upstream response bodies. -- Trusted-proxy handling now evaluates the rightmost forwarded hop, supports exact/CIDR - allow-lists, and prevents untrusted forwarding headers from changing URLs or secure-cookie - decisions. Interactive API documentation is disabled on user-facing servers by default. -- Dashboard handlers now read memory, workspace, member, and token identifiers from escaped - `data-*` attributes instead of interpolating untrusted values into inline JavaScript. -- Repository-graph JSON output now escapes non-ASCII labels so Windows console encodings do - not turn successful `impact`, `prs`, or query commands into exit-code 2 failures. -- A server-only installation now includes the multipart parser required by dashboard import - routes instead of depending on the unrelated MCP extra to provide it transitively. -- `engraphis-mcp --help` works without importing the optional MCP stack; server-only and - explicitly offline configurations no longer emit misleading missing-dependency warnings. -- Dashboard and legacy-server launch failures retain database recovery details instead of - collapsing them into generic errors, and invalid port values are rejected cleanly. -- SQLite vector selection is now tested in both accelerated and offline-fallback modes, while - memory writes remain durable and audited if an index update fails. -- The zero-configuration Compose dashboard now admits its Docker host bridge while both - published ports remain loopback-only; widening a port requires an API token. -- Git-installed updates retain their recorded PEP 610 remote, and failed editable updates - restore the original branch without exposing a Python traceback. -- Customer-operated sync relays are separated from the managed license/trial/invite service, - and the sample `.env` no longer overrides installed database defaults with a relative path. -- MCP end-of-session guidance again represents completed work with an empty unresolved list - instead of persisting a fake open thread. - -## [0.9.7] - 2026-07-17 - -### Security -- Team-mode login gained a per-source-IP failure throttle (25 failures / 15 min) - alongside the existing per-email lockout, closing the credential-stuffing sweep - that tried each address once; lockouts now surface as a typed - `AccountLockedError` mapped to HTTP 429 + `Retry-After` (previously 401, or a - 429 derived by substring-matching the error message). - -### Fixed -- `remember`/`remember_with_resolution` are now atomic across the neighbor-resolve → - insert sequence (engine-level write lock): concurrent near-duplicate writes can no - longer both resolve ADD and store duplicates instead of NOOP/INVALIDATE. -- The Inspector's `/api/auth/login`/`setup` no longer run PBKDF2 (600k iterations) - on the asyncio event loop; password hashing moved to a worker thread, so a burst - of logins can't stall every other request. -- A failed vector-index upsert on the write path is now logged and audited - (`index_upsert_failed`) instead of silently swallowed. Previously, the memory - stayed invisible to semantic recall with no trace. -- URLs built from a bind host are now IPv6-safe and connectable (`engraphis.netutil`): - `ENGRAPHIS_HOST=::` no longer yields the malformed `http://:::8700` in the printed - dashboard URL, the :8710 redirector target, or `Settings.base_url`; wildcard binds - map to loopback. -- The Docker image no longer bakes an IPv4-only bind: the entrypoint defaults - `ENGRAPHIS_HOST` to dual-stack `::` when the kernel has IPv6 (what Railway's - private-network healthchecks require) and `0.0.0.0` otherwise, so wiping the - service's env vars can't regress the 2026-07-16 healthcheck outage. - -### Changed -- Consolidated four per-app bearer-token checks into one constant-time - `inspector.auth.bearer_ok` helper (scheme now matched case-insensitively per - RFC 7235 everywhere); extracted the ~230-line code-graph HTML/Markdown export - templates from `core/engine.py` into `core/codegraph_export.py`; documented the - v1/v2 split in `engraphis/routes/__init__`; entity ancestor-widening in graph - recall now applies to `workspace_id` symmetrically with `repo_id`; filtered - sqlite-vec searches cap their geometric widening with a single full scan. - -### Added -- Schema v3 logical graph layers (`temporal`, `entity`, `causal`, `semantic`), privacy-safe - SHA-256 receipt chains, optional LLM/host retention supervision, and a persistent code↔memory - bridge. -- Incremental multi-language repository indexing (Python, JS/TS, Go, Rust, Java, C#, C/C++, - SQL, Terraform), docstrings/comments, variables, inheritance/implementation, weighted - communities, hotspots, path queries, git/PR impact analysis, portable JSON/HTML/Markdown - exports, and a graph union merge driver. -- Local multi-format resource ingestion for text/code/HTML/DOCX, optional PDF/image OCR and - faster-whisper transcription, plus live PostgreSQL schema introspection with DSN redaction. -- Seven MCP tools for code paths/impact/export, PostgreSQL schema ingestion, and receipt - list/verify/export, bringing the tool surface from 20 to 27. -- `engraphis-graph` workflow CLI and token-protected `engraphis-graph-server` read-only HTTP - surface. - -### Changed -- Railway hosting now supports Pro solo single-admin deployments: any active Pro or Team - entitlement can bootstrap the first admin and activates the login wall, while member - seats and direct hosted agent writes remain Team-only. The hosting guide now covers both - Pro solo sync-relay and Team member flows. - -### Fixed -- 1-hop graph recall (and the PPR large-graph fallback) now honors `graph_layers`, matching - the PPR arm: `Store.neighbors()` gained a `layers` filter. -- `FolderTransport.push()` no longer follows peer-planted symlinks in the shared sync folder - (unpredictable temp name + `O_CREAT|O_EXCL|O_NOFOLLOW`), closing an arbitrary-file-write - vector that mirrored the already-hardened read side. -- `engraphis-graph-server` treats an empty `--host`/`ENGRAPHIS_GRAPH_HOST` as non-loopback - (it binds all interfaces), so the bearer-token requirement can no longer be skipped. -- Caller-supplied `metadata.retention_supervision` is stripped at the service boundary; only - the validated `retention_class` presets can influence importance/stability. -- `merge_workspaces()` no longer duplicates symbols/code edges when both workspaces indexed - the same file in a same-named repo: the losing snapshot's rows are cleared, and its - memory↔code links are re-pointed at the surviving same-fqname symbols. -- `engraphis-graph impact/prs` reject leading-dash git revisions (git option injection), and - graph exports refuse a symlinked output directory and are written atomically without - following pre-planted symlinks. -- The unified graph endpoint bounds entity edges and code edges/links per request - (`limit`-derived cap) so a large workspace graph or indexed repo can't produce unbounded - viewer-role responses. -- Relay sync fails closed when a workspace's settings are unreadable rather than treating a - possibly-personal folder as shared: in the sync CLI and in the dashboard/background - `_sync_all` path; resource extraction enforces its own raw-size cap. - -## [0.9.6] - 2026-07-16 - -### Added -- **Agent Connect for hosted Team instances.** Members can mint SHA-256-hashed per-user - bearer tokens in Settings and use the hosted v2 store through `POST /api/remember`, - the existing read routes, token management under `/api/auth/token*`, and - `GET /api/auth/connect-info`. Tokens retain the user's role and personal-folder scope; - viewers are read-only and disabling a user invalidates their tokens immediately. -- **Authenticated MCP-over-HTTP at `/mcp`.** When the MCP extra is installed, the - dashboard mounts the same 20 tools as the standalone server and injects its existing - `MemoryService`, avoiding a second SQLite writer. The endpoint requires an active Team - entitlement and per-user bearer token, enforces viewer/member/admin roles per tool, and - reports actual mount availability through connect-info. -- **One-click Railway hosting.** Added `railway.json`, the README deploy button, and - `docs/HOSTING_RAILWAY.md` for persistent volumes, forwarded HTTPS headers, Team - entitlement bootstrap, member invites, and HTTP/MCP agent connection. -- **Two new MCP context tools.** The MCP inventory grows from 18 to 20 with - `engraphis_answer`, a compatibility alias for the existing grounded-recall contract, - and `engraphis_proactive_context`, also available at `POST /api/proactive-context`. - Proactive packets include bounded task/agent state, cited memories, suggested queries, - and the previous session handoff. Optional LLM prose is accepted only when every claim - carries a valid citation. -- **Structured LLM ingestion and consolidation.** `ENGRAPHIS_EXTRACTOR=llm_structured` - validates typed facts, entities, relations, keywords, and confidence; that metadata is - preserved through storage and automatically feeds the graph. Settings now includes a - **Connect your LLM** card backed by `/api/llm/status` and `/api/llm/test`. - Consolidation adds schema-validated facts and explicit source supersession across the - service, REST, MCP, and CLI surfaces, with deterministic fallback on provider/schema - failure. -- **Opt-in deterministic memory intelligence APIs.** Added conflict triage for duplicate, - refinement, contradiction, and obsolete candidates, plus a serializable `UserModel` - that learns interaction preferences and reranks recall results. These helpers do not - mutate the store or alter default recall unless a caller invokes them. - -### Changed -- **Team mode is opt-out by default.** `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) disables - Team plumbing. A fresh solo install stays open, first-admin setup requires a live Team - entitlement, and an existing team's authentication wall remains active if its license - lapses so private data never becomes public. -- Pre-login license status and trial routes now allow a fresh instance to start a Team - trial before first-admin setup. Purchased keys bootstrap through - `ENGRAPHIS_LICENSE_KEY` or the license file; `/api/license/activate` remains admin-only. -- Package fallback metadata and all user-facing tool inventories now agree on version - `0.9.6` and 20 MCP tools. - -### Fixed -- **Agent Connect and dashboard lifecycle:** corrected generated endpoint URLs, retained - one-time token visibility, made `/mcp` bearer-only, bound MCP sessions to their initiating - user, rechecked tool roles on every call, retained DNS-rebinding protection, closed - previously injected stores, and made connect-info reflect the real optional MCP mount. -- **License and Team enforcement:** authoritative revocations override cached entitlement - and persist tombstones for previously unrecorded keys; transient failures may use only - an unexpired lease; public license/trial bootstrap routes close after the first Team user; - trial rate limits trust forwarded addresses only from configured proxies; managed - requests use explicit client headers; retired managed relay URLs are canonicalized - across key issuance, license/trial, invite, and sync clients; and configured keys - that fall back to free after transient outages retry automatically. -- **Python and packaging compatibility:** rate-limit buckets and audit exports use - timezone-aware UTC APIs, package metadata uses the SPDX license format, and the - deterministic fallback matches the default embedding model’s 384 dimensions. -- **Memory and retrieval integrity:** audit writes are committed durably, recall excludes - non-live rows, mixed embedding dimensions no longer crash recall and have a backed-up - repair path, sync enforces workspace/repository boundaries in both directions, graph - provenance is pruned per memory instead of deleting shared edges, SQLite-vector distances - are converted to cosine similarity, entity expansion matches complete names, and the - sentence-transformers adapters support both legacy and renamed dimension APIs. -- **Structured-data safety:** extraction metadata survives ingest unchanged, proactive and - consolidation inputs are bounded, structured consolidation rejects source IDs outside - the requested cluster, and synthesized context cannot replace deterministic output - without valid citations. -- **Dashboard graph navigation:** focusing an isolated node now retains the requested node - through the delayed renderer retry instead of reporting a false “Entity not in view.” -- **Dashboard typography:** replaced sub-12px text and the flat type ramp with a consistent - 12/16/24/32px hierarchy while preserving responsive layout. - -### Documentation -- Updated the README, Agent Connect, Railway, Kilo Code, bundled memory skill, benchmark - command, and package-version fallback to match the shipped routes, tool count, setup - order, and extractor/consolidation options; removed the unused shortcut icon helper. - -## [0.9.5] - 2026-07-14 - -### Changed -- **Team mode is now ON by default (opt-out).** `ENGRAPHIS_TEAM_MODE` defaults to on; - set `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) to disable. The per-user login wall is - no longer raised just because the mode flag is on. It now requires a *live* `team` - feature entitlement (`licensing.has_feature("team")`), checked at request time in - `dashboard_app.py` and reflected in `/api/auth/state`. Solo / no-license installs stay - fully open, and the wall appears the moment a team license key is added, even via the - dashboard UI at runtime. A `team` license is still required to *add seats* beyond the - first admin (bootstrap admin is created unconditionally). Docs (`.env.example`, - `AGENTS.md`, `README.md`, `SECURITY.md`, `scripts/init.py`) and team-mode test fixtures - updated. -- **Team-invite email rewritten to separate "join" from "activate a key".** The old - invite conflated the two, so members pasted the shared team key into the hosted/Railway - dashboard, saw it "work" (it just re-activated a license already active there), and - thought they'd joined, when joining means signing in with email + password. The email - now frames two distinct options: **Option 1** (required to join) sign in to the team - dashboard with email + the admin-set password, with explicitly *no license key needed here, - don't paste one*; **Option 2** (optional) run Engraphis on your own machine and access - the team's memories locally; that is what the shared team key is for (LOCAL - `http://127.0.0.1:8700` → Settings → License, then Settings → Cloud Sync to pull the - converged team store down to a local offline copy). Invites now always carry a - clickable sign-in link: `dashboard_url` resolves explicit arg → `ENGRAPHIS_DASHBOARD_URL` - → `DEFAULT_TEAM_DASHBOARD_URL` (`https://team.engraphis.com/`). A footer with the - canonical site + repo links is added as env-overridable module constants - (`SITE_URL`/`REPO_URL`) so the URLs can't drift per-email. `tests/test_billing.py`. - -### Fixed -- **Intermittent `database is locked` from `set_service`.** `routes/v2_api.set_service` - swapped the global `MemoryService` without closing the previously-bound service's store - connection, so under heavy test churn a deferred-GC close of the old SQLite/WAL handle - collided with the next `MemoryService.create` on the same path. The prior store is now - closed on swap (best-effort, never blocks the swap on a close error). - -### Docs -- **README now documents three previously-undocumented shipped features** (the features - themselves shipped in 0.9.3): sub-file chunking (`ENGRAPHIS_EXTRACTOR=chunk` + the - `eval.chunking_eval` whole-file-vs-chunked harness), auto-dreaming (the background - cross-cluster-inference loop, accumulation + idle trigger, `dream_inference` - provenance/auditability), and every automation dream knob exposed via the dashboard - Automation tab and the `GET/POST /automation` + `POST /maintenance/run` API. Also: a - **Team early-access beta** callout (top + feature/pricing tables + Free-vs-Pro section) - and a **daily-update reminder for maintainers** near the top (code wins; fix the doc in - the same change). - -### Chore -- `.gitignore` now excludes `automation.json` / `autosync.json` (regenerable local - runtime state from `engraphis/automation.py`, not source content). - -## [0.9.4] - 2026-07-14 - -### Fixed -- **The dashboard (`engraphis-dashboard` / `http://127.0.0.1:8700`) would not start.** - `scripts/start_dashboard.py` runs uvicorn against `engraphis.dashboard_app:app`, but - `dashboard_app.py` only defined the `create_app()` factory and never built a module-level - `app` instance, so uvicorn aborted with `Attribute "app" not found` and nothing bound - port 8700. The missing `app = create_app()` (present in `engraphis/app.py` and - `engraphis/redirector.py`, but dropped from `dashboard_app.py`) is now restored. The - background autosync/dreaming/revalidation loops inside `create_app()` are pytest-guarded, - so importing the module under test is side-effect-free. -- **Flaky `database is locked` dashboard test.** - `test_consolidate_inference_pass_is_pro_gated` opened two FastAPI `TestClient` lifespans - back-to-back on the same temp DB file; the first app's still-open SQLite connection - blocked the second's schema init. Split into two one-client test functions, matching - the convention already documented above `test_analytics_and_export_*` (two TestClients - in one test reproducibly deadlock). Full suite now green (693 passed, 3 skipped). - -## [0.9.3] - 2026-07-14 - -### Added -- **Email-verified self-serve trial + abuse protections on the trial endpoint.** - Starting a trial now requires a verified email and sends a one-time confirmation link - before any license is issued; the request path is rate-limited so the endpoint can't be - used to spam or farm trials. This raises the bar significantly above the previous - device-only gate while keeping the same paste-a-key activation flow on the dashboard. - `tests/test_cloud_license.py`, `tests/test_dashboard_v2.py`, - `tests/test_online_only_enforcement.py`. -- **Deterministic, offline sub-file chunking on the write path (`ENGRAPHIS_EXTRACTOR=chunk`).** - A third `Extractor` alongside passthrough/LLM: `ChunkingExtractor` splits a document into - retrieval-sized `ExtractedFact` chunks that preserve meaning: markdown headings start new - chunks and become the title, fenced code blocks stay intact, prose is packed to a token - budget (`ENGRAPHIS_CHUNK_TOKENS`, default 256) with a sentence-level overlap - (`ENGRAPHIS_CHUNK_OVERLAP`, default 32); a hard per-document cap - (`ENGRAPHIS_CHUNK_MAX`, default 200) bounds amplification. numpy/stdlib only, so it runs - under the offline gate and is byte-identical across runs. This gives long, multi-topic - documents finer retrieval units instead of one diluted memory; the bundled evaluation below - preserves Recall@5 while reducing retrieved context. New: `ChunkingExtractor` in - `backends/extractor.py`; `tests/test_chunking_extractor.py`. -- **File/folder imports chunk too.** With `ENGRAPHIS_EXTRACTOR=chunk`, - `import_folder`/`import_files` split each file into several retrieval-sized memories - (each still `trusted:false`, stamped with `metadata.chunk={index,of,heading}`) instead of - one; the LLM extractor is deliberately never applied to the local import path (no external - calls on untrusted disk files). A file still counts as one imported unit. - `tests/test_import_chunking.py`. -- **Chunking eval + `longdoc` dataset.** `eval/chunking_eval.py` + - `eval/datasets/longdoc.jsonl` compare whole-file vs chunked ingestion through the real - recall pipeline. On the offline embedder: identical recall@5 (1.000) at **~73% fewer - context tokens** (809 → 219) and ~4× smaller tokens-to-evidence (162 → 42); the "quality per token" - number `BENCHMARKS.md` calls for. `tests/test_chunking_eval.py`. -- **"Dreaming" trigger for automated maintenance.** `automation.should_dream` / `dream_due` - run a consolidation sweep *before* the cadence when enough new episodic memories have - accumulated **and** the store has gone quiet (`dream_min_new` / `dream_idle_minutes` policy - knobs); wired into `scripts/auto_maintain.py`. Purely additive to the existing cadence, so - cron behaviour is unchanged; still Pro-gated. `tests/test_dreaming_trigger.py`. -- **Associative cross-cluster inference (dream pass 4).** `consolidate.infer_links` / - `consolidate(infer=True)` proposes evidence-only links between memories in *different, - dissimilar* subject clusters that share a bridging entity: the "connect distant dots" step - same-subject distillation never reaches. **Off by default** (`infer=False`); the pass - follows the sweep's own `dry_run` flag, so a dry-run proposes into the report and a real - run applies. Applied inferences are low-salience (`importance=0.25`), `trusted:false`, - `source='dream_inference'`, linked to their sources and audited, so a bad inference is - visible, downweighted, and never merge-eligible into a trusted fact. Fan-out capped, - idempotent. Entity matching is now word-boundary (so `Redis` won't fire on - `rediscovered`) and the per-sweep text scan is computed once, not per entity. - `tests/test_inference.py`. -- **Inference is reachable from the maintenance path.** A new `infer` policy knob (off - by default) runs the inference pass inside `run_maintenance`, whether manual or from the dream loop, - following the sweep's `dry_run`. `/api/consolidate` takes `infer` (`false` by default); - `/api/automation` round-trips `infer`; the dashboard Automation tab has an Inference - toggle. `tests/test_dashboard_v2.py` (policy round-trip + `/maintenance/run` proposes the - Redis bridge), `tests/test_dashboard_dream_ui.py`. -- **Dreaming runs without cron.** A dashboard background loop (`_maybe_start_dreaming`, - mirroring auto-sync) runs a maintenance sweep whenever `automation.dream_due` fires. It is opt-in, - Pro-gated, fault-isolated, with an `ENGRAPHIS_DREAM_LOOP=0` kill switch. The `/api/automation` - policy round-trips the `dream` / `dream_min_new` / `dream_idle_minutes` knobs, and the - dashboard's Automation tab surfaces them as form controls (toggle + thresholds). The - trigger now scopes its accumulation/idle count to the policy's `workspaces` (a burst in - an out-of-scope workspace no longer fires a sweep). `tests/test_dreaming_trigger.py`, - `tests/test_dashboard_dream_ui.py`, `tests/test_dashboard_v2.py`. - -### Fixed -- **First-run team-mode bootstrap hardened.** The admin-creation path no longer depends - on an external relay round-trip succeeding to provision the first seat, and concurrent - first-admin requests are serialized so only one unlicensed bootstrap admin can ever be - created. Subsequent seat additions still require an active Team license. -- **First-run team-mode bootstrap fixed (frontend).** The admin-account screen now triggers - the trial/activation step before provisioning the first admin, so a fresh self-hosted - instance no longer deadlocks on the team-feature gate with no way to proceed. - No backend change; frontend-only. -- `MemoryService.create` now defaults `extractor` from `settings.extractor` - (`ENGRAPHIS_EXTRACTOR`) when unset, mirroring the existing `graph_extractor` fallback so - the dashboard and automated-maintenance front ends honor the config knob, not just the MCP - server and CLI. An explicit `extractor="none"` still overrides the environment. - -### Security -- **Closed a Pro-feature bypass on the manual consolidate endpoint.** The inference pass - (a paid capability) was reachable through the free housekeeping endpoint without a - license; it is now gated at the route and reinforced inside the service layer, so no - caller can reach the Pro-only path without a server-approved license. The free manual - consolidate action is unchanged. `tests/test_dashboard_v2.py`, `tests/test_inference.py`. -- **Strengthened license enforcement and revocation handling.** Reaffirmed that every paid - surface requires a live, server-validated lease and fails closed when the server is - unreachable; tightened the verification so licenses can't be forged client-side, and - serverside-issued seats can't be minted without a valid license. Revoked or refunded keys - are now re-confirmed against the server on a background interval so they degrade promptly - rather than remaining usable until lease expiry, while legitimate offline customers are - never stalled. `tests/test_online_only_enforcement.py`, `tests/test_cloud_license.py`. - -## [0.9.2] - 2026-07-13 - -### Added -- **Personal vs. shared folders + a redesigned Team dashboard.** A folder can now be - created `visibility='personal'` (owned by, and visible/usable only to, the creating - dashboard user) or `shared` (the whole team, the previous, still-default behaviour). - Enforcement runs through a single workspace-authorization chokepoint, so every scoped - read/write inherits it and a non-owner cannot access another user's personal folder. - Personal folders are excluded from relay sync so they stay on-device. The **Team - dashboard** gains a team overview (seat usage + activity), a Folders panel that creates - and manages shared/personal folders (folder creation now lives here: the Workspaces - tab is selection-only in team mode), members with last-active, and a team audit log with - CSV export. New/updated: `service.py`, `routes/v2_api.py`, `dashboard_app.py`, - `static/index.html`; tests in `tests/test_personal_folders.py`, - `tests/test_dashboard_v2.py`, `tests/test_sync_dashboard.py`. - -### Changed -- README expanded with the missing features (cloud sync, encryption, import/ingest, - workspace ops, Docker, config, and more) and now links to the Engraphis Discord. - -## [0.9.0] - 2026-07-13 - -### Added -- **Automatic v1→v2 database migration on startup**: a pre-existing v1-shaped - `engraphis.db` (no `workspace_id` column) is backed up and migrated to the v2 - schema, so existing installs upgrade cleanly without manual SQL. - -### Fixed -- **Dockerfile default entrypoint** is now `engraphis-dashboard --no-open` (was the v1 - single-user `engraphis-server`), so a fresh container serves a working team dashboard - with auth/license/trial routes instead of a permanently signed-out UI. - `engraphis-server` remains available as an explicit override for single-user - deployments. -- **CI**: ruff lint errors and core-floor (numpy-only) test collection. - fastapi-dependent tests now skip cleanly on the minimal core floor. `loads_strict` - now rejects pathologically deep JSON on every Python version (3.12's JSON scanner - no longer raises RecursionError for ~1000-deep input, which had broken the - deep-nesting parsing guard and its test on 3.12). - -## [0.8.8] - 2026-07-13 - -### Security -- Hardened license validation and trial consumption tracking -- Improved offline trial tamper resistance - -## [0.8.7] - 2026-07-12 - -### Added -- **Dashboard "Import files & folders"** restored on v2 engine -- **Kilo Code integration docs** (`docs/KILO_CODE_INTEGRATION.md`) - -### Fixed -- Dashboard auth: session handling, role badges, member management -- License cloud enforcement: lease validation, online-only gating -- Service layer: workspace operations, memory reorder, merge - -## [0.8.6] - 2026-07-12 - -### Added -- Dashboard "Import files & folders" section restored on v2 engine - (`engraphis/service.py`, `routes/v2_api.py`, `static/index.html`, Workspaces tab) -- Server-side path import and drag-and-drop upload, both member-gated and bounded -- Imported memories marked untrusted by default; 21 new tests - -### Security -- Hardened folder import against path-traversal and containment bypasses - -## [0.8.5] - 2026-07-12 - -### Fixed -- Logout no longer re-triggers sign-in modal loop -- Team bootstrap: trial/license endpoints now accessible before first admin exists -- Expired/revoked Team license no longer locks out all logins -- Trial start now idempotent (no 400 on repeated calls mid-trial) -- Team trial grants 5 seats (was 1), enabling actual team evaluation -- Dashboard handles empty workspaces gracefully -- Static assets (dashboard HTML, vendor JS) now ship correctly in wheel - -## [0.8.4] - 2026-07-12 - -### Security -- Paid features now require a live, server-issued license lease -- Offline handling degrades gracefully with bounded grace when the server is unreachable -- Local/offline trial grants removed; trials are server-issued and tracked per device -- Issued keys are server-enforced by default - -## [0.8.3] - 2026-07-12 - -### Fixed -- Empty workspace `/api/memories` returns `[]` instead of 500 -- Online-only license enforcement: cloud-mode keys validated per request - -## [0.8.2] - 2026-07-12 - -### Fixed -- Static package discovery: `engraphis/static/__init__.py` added -- Vendor glob: recursive pattern so `static/vendor/` bundles ship in wheel -- Dashboard 500 on `GET /`: `static/index.html` was missing from wheel (packaging bug) -- Dashboard 500 on fresh install: `GET /api/memories` crashed on empty workspace - ---- - -## Earlier versions (condensed) - -### Versions 0.5.x to 0.7.x -- MCP server with 18 tools -- Memory Inspector product UI (`engraphis-inspector`, port 8710) -- Dashboard rebuilt on v2 engine with recall, governance, consolidate, analytics -- Team mode: login auth, viewer/member/admin roles, seat limits -- Grounded recall with cited answers and abstain gate -- Sleep-time consolidation with compaction accounting -- Personalized PageRank graph arm (HippoRAG-style) -- Offline signed license keys (no phone-home) -- Pro analytics dashboard -- Code-symbol graph via tree-sitter or regex fallback -- Docker + docker-compose deployment -- 300+ tests, eval harness, ablation suite - -### [0.1.0] - 2026-07-09 -- Initial public release: local-first AI memory engine for agents -- Ebbinghaus decay, interaction-aware recall, bi-temporal facts -- Background consolidation; you bring the LLM - ---- - -**Security reporting:** Email **security@engraphis.dev** for vulnerability disclosure. +# Changelog + +All notable changes to Engraphis are documented here. Format loosely follows +[Keep a Changelog](https://keepachangelog.com/); versions use SemVer. + +## [Unreleased] + +- Kept selective-memory relocation policy independent of SQL through a domain storage + protocol, with bounded reads and caller-owned transaction rollback. +- Reran the unchanged public fixtures into immutable v102 source-bound evidence. + +- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and + extended the Pi dependency audit to cover its development dependencies. +- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing + IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. +- Added saved project-to-workspace routing and connection instructions so agents can use the + user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized + session or repo mapping, report the resolved destination, and reject session mismatches. +- Command Code's SessionStart hook now uses the nearest Git root's repo name, honors saved + workspace mappings unless explicitly overridden, and labels recalled context with the + server's resolved workspace. +- Added a previewed selective move workflow for organizing mixed workspaces while retaining + source history and enforcing move eligibility and workspace access. +- Hardened the experimental Cloud decision client with validated destinations, + redirect refusal, bounded responses, strict decision parsing, and read-only + result interfaces. Loopback endpoints bypass proxies and reject external DNS + destinations. Managed availability and performance remain unverified. +- Fixed the spacetime overlay's final paused frame being skipped by paint throttling. +- Enforced a Cloud request deadline across connection retries, TLS, request sends, + proxy handshakes, slow headers, and chunk framing. Preserved HTTP 413 for streamed oversized read-only + requests across parser versions. +- Prevented retained-release waiver repairs from replacing a newer GitHub Latest + release, with a shared publication queue to serialize GitHub release writes. +- Reran the public offline fixtures into immutable v88 evidence and refreshed its + source bindings, documentation, and charts. + +## [1.7.8] - 2026-09-27 + +- Improved graph rendering and overlay scheduling, preserved saved Compact and custom + slider preferences, and corrected orbit radii, focus validation, and worker force limits. +- Hardened Windows MCP startup by preloading configured embedding and reranking + dependencies before background warmup, while retaining exact-backend requirements, + source-integrity validation, and an explicit preload opt-out. +- Added an experimental, explicitly authorized Jev decision adapter with fail-closed + response validation; it does not write memories or participate in grounded recall. +- Corrected API capacity and evidence projections and refreshed immutable offline + evidence and charts against the release source. Offline fixtures do not establish + live hosted-service or full-product qualification. +- Updated the optional Codex SDK to 0.155.1 and pinned CodeQL actions to 4.38.2. + +## [1.7.7] - 2026-09-23 + +- Cloud Sync shows local encryption-key and dependency readiness before enabling Sync now, + guides first-device key setup, and identifies shared workspaces eligible for upload. + Partial workspace rounds remain visibly incomplete. +- Pro Analytics resumes the exact submitted job across workspace switches and displays + its completed result without submitting a duplicate snapshot or run. +- Release auditing checks an unpublished wheel with OSV and its installed published + dependencies with PyPI. Qualification inputs now use protected Actions secrets so + variable-backed step logs cannot disclose the signed receipt. Owner-signed, + exact-artifact full-product qualification remains required before publication. + +## [1.7.6] - 2026-09-23 + +- Hardened Railway container startup persistence and readiness: entrypoint revalidates + trusted paths before ownership changes, enforces private 0700 permissions, preserves + ownership of external container state directories, rejects unsafe ownership markers + and hard-linked privileged startup inputs, and initializes private state for rootless + container execution. +- Improved agent-memory evidence and benchmark integrity: expanded evaluation harness, + local capacity campaign runners, campaign oracles and candidate compatibility, exact + value correction surfaces, compact recall HTTP endpoints, and comprehensive evidence + verification contracts. +- Upgraded tree-sitter-language-pack to 1.20.0, openai-codex to 0.154.0, and pyright to 1.1.414. +- Receipt-chain structural corruption remains fail-closed at the Store boundary without + bricking a completed service operation: affected responses now carry a content-free + `receipt_warning`, and graph/import workers preserve their completed state. + +## [1.7.4] - 2026-09-13 + +- Writable SQLite files now default to WAL plus FULL synchronization, with an explicit + balanced option and effective-policy diagnostics. Disposable fault tests cover abrupt + process exit and database-full rollback; hardware power loss remains unverified. +- Consolidation recall batches evidence-visibility checks within the Store's 500-ID bound, + preserving citations for larger digests under scope and temporal filters. +- Pi resolves patched Hono while retaining MCP SDK compatibility below version 2. +- Release verification exercises installed MCP and dashboard writes, restarts, corrections + and history on Windows, macOS and Linux. Product-readiness receipts bind exact components, + underlying evidence and independent release/leadership decisions. +- Normal and repair publication require owner-signed qualification of the exact source, + distributions and private ledger. Protected authority configuration is a release prerequisite; + no signing authority or approval is created by installing this package. +- Performance diagnostics accept pinned local models, real files and exact vector backends, + and expose opt-in recall phase timings. Planner promotion now has an explicit failing CLI + gate when its evaluation booleans are unmet; ranking defaults are unchanged. +- Added schema 18 content-free command receipts and cross-process source revalidation for + corrections, approvals, promotions and merges. Combined memory revisions have expected + versions, operation IDs, atomic metadata/history, and typed conflicts. +- Sync publication uses current canonical state and generation-aware repair; delayed work + cannot restore erased vectors. Native-index failures roll back canonical changes. +- Context retains distinct scoped evidence; synthesis falls back when complete source + units, titles, values or conditions are lost. Answer coverage defaults to unknown. +- Added project-aware memory workflows and paginated record history. +- Library cursors survive unrelated activity and work across processes. File-backed + browsing uses bounded live read snapshots; completed graph migrations are not + repeated at ordinary startup. +- Ask separates answer/preview retries, cancellation and answer coverage. Home uses + actionable review state; Explore pauses hidden views through existing renderers. +- Added content-free diagnostics and build/capability information, strict coding + acceptance validation and a file-backed independent-process capacity harness. + These provide measurement infrastructure, not verified 100k capacity claims. +- MCP stdio startup accepts the JSON-RPC handshake before optional semantic-model + warmup, while retaining deterministic fallback and exact-backend policy. + +## [1.7.3] - 2026-09-07 + +### Fixed + +- Preserved Galaxy carrier lane and kinematic orbit invariants through central-field slider + changes, including the global and core cached radii used by the next fixed slice. +- Refreshed the retained local orbital speed budget when the effective local-gravity control + changes, preventing a stale phase cache from masking the slider. +- Kept high-density Galaxy layouts inside the strict speed cap while maintaining authored + carrier and nested local orbit phase. +- Bounded the zero central-gravity radius response so finite far-field envelopes cannot leave + oversized kinematic carrier caches behind, and counted fallback speed-cap activations. +- Bumped the deterministic Galaxy scene algorithm identity to `galaxy-v13-responsive-compact-orbits` + so cached layouts cannot be confused with the revised placement contract. + +### Tests + +- Added deterministic regressions for central-field cache scaling and local-gravity phase + invalidation, alongside the existing 500-body and browser accessibility coverage. + +## [1.7.2] - 2026-09-05 + +### Added + +- Added `idx_vector_index_repairs_queue` composite index on `(identity, generation, memory_id)` + in `engraphis/core/schema.py` to prevent table scans during external vector repair queue dequeue. +- Added explicit operator opt-out verification with `403 Forbidden` (`processing_operator_disabled`) + for authenticated direct POST requests to `/managed-processing` in `engraphis/routes/v2_api.py`. +- Added `_only_environment_title_order_changed` in `engraphis/core/resolve.py` ensuring unkeyed + facts with permuted environment titles resolve to `NOOP` rather than false conflicts. +- Added comprehensive reliability regression coverage covering storage concurrency, vector index + repair indexing, and managed processing policy enforcement. + +### Fixed + +- Preserved `[all]` extras fallback for legacy editable installations in `scripts/update.py` + when no installation profile is recorded. +- Fixed external vector index hydration on physical index recreation and rebuilds. +- Fixed docstring dedenting and contract normalization across Python 3.9 through 3.14. + +### Changed + +- Bumped `tree-sitter-language-pack` to 1.16.1. +- Updated `codeql-action`, `anchore/scan-action`, and `anchore/sbom-action` GitHub Actions dependencies. + +### Reliability and privacy + +- Preserve distinct context claims, qualified sentences and complete units under tight budgets; + measure false NOOP outcomes through real write sequences. +- Preserve separate sources during packing and keep MCP gist responses within the canonical + context budget. Response caps retain or omit complete context and report accurate usage. +- Canonical temporal browsing, server-side Library filtering/pagination, independent Ask states, + actionable setup diagnostics and retained installation capabilities. +- Cross-process write resolution and schema 17 durable vector-index repair, with canonical + fallback and bounded NumPy scans. Public engine entrypoints remain compatible. +- Commit native batch indexing with canonical memory state and roll back both on failure. + Retain the established 12,000-memory graph window pending quality evidence for a smaller one. +- Explicit workspace managed-processing approval; missing legacy policy pauses readable uploads. + Requires the compatible cloud migration before rollout. Encrypted sync remains separate. +- Generated Smart/Classic MCP contract and integration inputs; Pro three-day and Team ten-day + trial copy aligned with cloud authority. Real browser and Workers evidence remains distinct + from production verification. See `docs/RELIABILITY_PROGRAM.md`. +- Isolate the manual graph diagnostic on an available local port with a private in-memory + server; fail before contacting an existing service when the requested port is occupied. + +## [1.7.1] - 2026-09-03 + +### Fixed + +- Isolated stdio transport wire in `engraphis.mcp_server`: redirected `sys.stdout` + to `sys.stderr` while preserving the raw binary stream for JSON-RPC wire + communication, preventing external library stdout chatter (e.g. PyTorch, + Hugging Face, tqdm) from corrupting the wire and triggering `write EOF` stream + disconnection errors in Node.js harnesses (Command Code, Cursor, Claude Code, Cline). +- Added thread-safe singleton initialization with `threading.Lock()` to + `engraphis.mcp_server.service()`. +- Added non-blocking background daemon warmup (`_start_background_warmup()`) in + `engraphis.mcp_server` to pre-warm the database and embedder, eliminating + cold-start latency and timeout disconnects on the first MCP tool call. Can be + bypassed with `ENGRAPHIS_MCP_WARMUP=0`. +- Added cache-first fast path (`local_files_only=True`) in + `SentenceTransformerEmbedder` (`engraphis/backends/embedder_st.py`), allowing + locally cached models to initialize in ~0.3s without network calls or remote + registry checks. +- Added embedder forward-pass diagnostic check to `engraphis-init --check` and + added `engraphis-init --prefetch` command to download and cache model weights + during setup. + +## [1.7] - 2026-09-03 + +### Added + +- Smart MCP `engraphis_recall_context` default `k` raised 8 -> 50 so the token-budget + packer binds on realistic stores by default. Measured at budget=1024 against a + 49-fact store: 100% labelled-relevance retention and ~50% of the store withheld + (savings_ratio 0.0 -> 0.4975) with no caller-side arguments. The packer is the + existing 1.6 contract; the change just makes it the default fast path. +- Smart MCP `engraphis_remember` now accepts and forwards `subject_key` and + `claim_kind` to the classic tool, so the documented safe-supersession + mechanism is reachable through MCP. +- A new integration at `integrations/commandcode/session_start_hook.py` (with + `scripts/install_cc_hook.py` for idempotent user-scope install/uninstall) wires + durable-memory recall into Command Code's SessionStart lifecycle: each new + session's first turn receives bounded relevant context as `additionalContext`. + Fail-open and silent on any error. Override workspace via + `ENGRAPHIS_HOOK_WORKSPACE`; override the MCP URL via `ENGRAPHIS_MCP_URL`. +- Cross-encoder reranker (`cross-encoder/ms-marco-MiniLM-L-6-v2`) is now + reachable as an opt-in config knob (`rerank_model=` on `MemoryEngine.create` + / `ENGRAPHIS_RERANK_MODEL`). Evaluated offline on the bundled retrieval gates + (sample.jsonl, codemem.jsonl, k=5): hit@5 stays at 1.0 with zero per-question + regressions, MRR@5 lifts 0.889 -> 0.944 (sample) and 0.962 -> 0.981 (codemem), + with ~15 ms per query added. Not the default; set the value in the trusted + config file (`~/.engraphis/config.env` on the operator account, or as a + process environment variable); Engraphis deliberately does not read the + CWD `.env`, so editing `./.env` and restarting leaves the identity + reranker active. Restart the MCP server and dashboard after the change. + +### Changed + +- The reworded-correction detector in `core/resolve.py` now supersedes reworded + corrections without a stable `subject_key` when the aligned token diff shows + a same-attribute value change (e.g. "the timeout is 30 seconds" -> "we raised + the timeout to 90 seconds"). The strong-evidence branch and the rewrite_gate + branch both require a change marker (e.g. "now", "raised") to be accompanied + by a value_swap on the same shared subject, so a bare "now" can never retire + a fact it merely shares surface nouns with. Vetoes preserve coexisting + distinct facts: clashing environment qualifiers (staging vs production, + folded through `prod`/`production` and `dev`/`development` aliases so a + legitimate correction across short forms does not get vetoed), + named mixed-case identifier swaps (ProviderA -> ProviderB), and clean + noun-for-noun replacements (REST -> GraphQL docs). Measured on the + reproducible corpus shipped at + `eval/datasets/resolver_reworded_corrections.jsonl` (44 pairs, 38 + positives + 6 negatives); reproduce locally with + `python -m eval.resolver_reworded_corrections` or + `python -m eval.resolver_reworded_corrections --strict` in CI. +- The `temporal_splice` flag passed from `core/engine.py` to `resolve()` is + now narrowed to the bi-temporal backfill case (a deliberate `valid_at` + AND a `subject_key`), instead of any `valid_at`-pinned write. Scheduled + future writes stay on the present-time veto contract. + +### Fixed + +- The Smart MCP gateway `engraphis_remember` now forwards `subject_key` and + `claim_kind` end to end, matching the **Added** entry above. + +### Operational + +- The new `engraphis_recall_context` tool emits one `INFO` log per call with + workspace, k, budget, packed/omitted counts, and the call's measured ms. + Operators get visibility without changing the on-the-wire contract. + The standalone \engraphis-mcp-http\ launcher only configures the root logger when + \ENGRAPHIS_MCP_LOG\ is set to a truthy value (\ / \ rue\ / \yes\ / \info\ / + \on\); the default stays silent so the CLI keeps its quiet profile. + +- The graph's "Show all nodes" toggle is replaced by a dedicated **Every node** layout built + on a new ultra-performance engine (`engraphis-graph-every.js` + + `engraphis-graph-every-worker.js`, WebGL2-only): all geometry is uploaded once and camera + moves touch only uniforms, so pan/zoom frame cost is independent of node count up to the + 20,000-node / 200,000-relation ceilings. Zoomed-out scenes read as an additive glow + density map; edges reveal progressively by weight with gold bridges; community districts + paint as tinted region hulls with hub-derived labels; hovering or highlighting a node dims + everything outside its neighbourhood, marks its relations with directional arrows and + relation names, and shows a callout card with category, connection count, and strongest + connections. Includes two-pointer pinch zoom, keyboard browsing (arrows/+/-/F/Escape), + a screen-reader live region for scene and hover announcements, and deterministic worker + layouts that stream settling passes (measured: ~320 ms settle at 2k nodes, ~1.2 s at 20k). + Entering Every-node shows every entity regardless of overview filters; leaving restores + the person's filters. + +### Changed + +- Direct black-hole children now receive compact, deterministic orbital lanes near the black + hole instead of inheriting the farthest authored radius. Each lane keeps phase and painted + clearance, while community-child planets remain in their local moving frame; oversized Galaxy + scenes seed the same lanes before their kinematic clock starts. +- Complete Galaxy packing now uses a 4% painted-envelope clearance instead of a blanket 15% + radial allowance, keeping solar-system carriers materially denser around the black-hole + interior while preserving non-overlap. +- Explicit `orbits` links from the black hole now promote community anchors and their declared + stellar children into the central orbital carrier group, so the Orbital speed control moves + the connected nodes in both live and oversized Galaxy paths. +- Every Galaxy body now receives both motion frames: its top-level system carrier orbits the + black hole, while the body follows its immediate star/planet carrier with cached local phase; + legacy community metadata and nested moons use the same hierarchy without phase rewinds. +- Any direct black-hole edge now promotes its endpoint into the central orbital carrier group; + relation labels no longer suppress direct star/system motion. +- Galaxy physics ticks now explicitly invalidate the canvas camera, so advancing orbital + coordinates repaints visibly even when force-graph's automatic redraw loop is paused. +- Complete graph analysis now scans up to 40,000 entity rows and 200,000 raw relationships, + while the explicit all-node renderer retains its 20,000-node, 200,000-link refusal ceiling. + Live-render safety thresholds remain unchanged so oversized scenes stay on the static path. +- Show all nodes now keeps the complete sidebar live: deterministic worker layouts respond to + repel, link-distance, gravity, and advanced force controls; minimum relations, unlinked nodes, + focus depth, relation layers, ghosts, and auto-collapse filter the LOD scene without a reload. + Capped directional relation flow, reduced-motion fallbacks, visible-count status, exact-repository + code overlays, and a 200,000-link worker guard complete the release safety contract. + +- Galaxy admission now uses a tighter default carrier gap and calibrated orbital slack, keeping + more complete solar systems in the black-hole interior without sacrificing painted clearance. + +- Galaxy mode now exposes normalized controls for gravitational constant, compact black-hole + mass, independent local-solar gravity, space friction, edge-spring stiffness, and orbit + pause/play. The fixed-step Velocity Verlet field superposes black-hole carrier motion with + softened dominant-star orbits, adds bounded near-horizon frame dragging, differential tidal + stretching, and carrier-only orbital decay, preserves Hooke tethers and short-range + repulsion, and captures sub-escape drag releases into their authored star system while high + velocity releases escape. A bounded canvas layer renders the central gravity well, lens halo, + short trails, and up to 24 shallow local-star wells without adding simulation bodies. +- The dashboard Galaxy graph now caches its outer safety radius at 2× the initial painted + extent; escaped nodes are confined to that fixed envelope instead of expanding it. +- The Galaxy gravity slider now spans `0..400` while retaining the release-stable default + black-hole field of `240` and local field of `120`. Independent community stars run on a 2.5× + orbital clock and retain the calibrated default stellar well when Gravity is zero. An explicit + black hole now retains a smaller `24`-setting floor at the loose endpoint, so neither solar + systems nor their planets silently stop while the displayed control remains at zero. +- The Galaxy default orbital separation is now `60`, a 25% increase from `48`. Link and contact + projections remain contractive and correction-capped so dense layouts cannot overshoot or + ping-pong. Same-system contacts project along each declared stellar orbit so they preserve + radius and relative velocity while the dominant star remains fixed in the local system frame. +- Galaxy's `Orbital speed` control now scales local stellar rotation and whole-system rotation + around the central galaxy anchor in both live and oversized kinematic layouts. Its faster + endpoint also gives planets a modest 6% larger local orbital radius while the midpoint remains + unchanged; saved views continue using `repel`. +- Direct black-hole graph connections now classify their non-anchor nodes as black-hole + satellites, including legacy payloads without `system_anchor_id`, so those nodes rotate with + the same Orbital speed phase. +- Carrier orbit support now adopts a node's post-contact phase before advancing it, preventing + collision or boundary corrections from snapping nodes back to a stale lane angle and producing + visible jitter. +- Oversized Galaxy fallback layouts now use the complete gravity range instead of saturating near + the lower end of the slider. +- Complete Galaxy overview scenes remain expanded and physically live through 1,000 nodes and + 2,000 relations; larger Galaxy scenes and non-Galaxy full views retain the deterministic + fallback. +- Historical graph views now keep at least one ghost relation's endpoints together under + undersized node caps, and ghost evidence drilldowns resolve invalidated supporting memories + instead of a colliding live canonical alias. + +- The source-import consolidation loop now uses union-find (path halving) to merge overlapping + clusters, replacing an O(n²) nested scan with near-linear time. The `consolidation_evidence_cache` + is bounded to 1000 entries with clear-on-overflow to prevent unbounded memory growth. +- Duplicate `_is_reparse_point` implementations across 4 modules (documents, obsidian, resources, + vault) are extracted to a shared `core/fsutil.is_reparse_point` helper, eliminating code drift. +- Backend factory functions (`get_embedder`, `get_vector_index`, `get_transport`, `get_extractor`, + `get_resource_extractor`, `get_postgres_introspector`) now declare Protocol-based return types, + making the interface contract explicit and enabling static type checking. +- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string + interpolation, eliminating a fragile pattern that could theoretically be exploited if float + representation ever produced non-numeric characters. The dead `_graph_edge_visibility_sql` + helper is removed; `_graph_edge_history_visibility_sql` returns `(sql, params)` tuple. +- The dashboard graph scene endpoint (`/api/graph/scene`) now accepts a `presentation` + query parameter (`quality` or `all`); the `all` profile requests the complete entity + projection up to 20,000 nodes and 200,000 relationships with an explicit worker-backed + LOD renderer, while `quality` retains the existing overview cap. +- Galaxy overview now retains the strongest cross-community bridge edge for every visible + system pair plus every direct global-anchor link, so inter-system and black-hole + relationships appear connected instead of isolated. +- Added `docs/GRAPH_PERFORMANCE.md` documenting the two graph presentation profiles, + worker layout, progressive rendering, and the 20,000-node / 200,000-relation safety + ceilings. +- Source-import manifest paging now uses keyset (cursor) pagination instead of OFFSET, + so concurrent writes during a source re-import can no longer skip or duplicate rows + mid-scan (PR #154). +- Local file/folder imports now accept up to 1,500 files per batch (was 500), with the total + batch ceiling scaled to 750 MB so the average per-file allowance is unchanged; document-wizard + scanner ceilings move in lockstep. +- Folder imports report truncation explicitly: a folder with more matching files than the + ceiling now warns and returns `truncated`/`matched_total`/`unreadable` fields instead of + silently importing an alphabetically-first slice that looks complete. +- The `engraphis_prime_agent` integration now ships a fleet wrapper that boots multiple + sub-agents (researcher / coder / reviewer / writer) with one shared memory workspace, + with fleet-wide configuration via `ENGRAPHIS_REPO` and per-agent override via the + `repo=` argument; the `engraphis-prime-agent install` subcommand configures a target + prime-agent configuration file and `python -m engraphis_prime_agent install` + works directly from the installed wheel. + +### Fixed + +- The Every node dashboard view no longer crashes on open: a declaration-order bug in the + renderer threw during construction before anything painted. The scene canvas also keeps its + accessible role/label now instead of being hidden from assistive technology. +- Prompt-only recall now honours an opt-in `ENGRAPHIS_RECALL_ARM_CANDIDATE_K` env var (and + the matching `RecallEngine(arm_candidate_k_cap=...)` constructor argument) that clamps both + the first-page widening (`candidate_k + min(250, candidate_k*3)`) and the second-page + ceiling, so operators can trade untrusted-scope widening for latency on the new k=50 + default without code changes. The accompanying benchmark test, + `test_recall_arm_candidate_k_cap.py`, uses a 300-fact trusted corpus because both requested + arm depths clamp to the same 49 rows on a smaller corpus and the timing assertion was + unreliable. Default behaviour is unchanged. +- Import previews now page the source manifest exactly like execution, so vaults whose manifest + outgrew one list page (10k identities) no longer show manifest-only files as silently absent + from the preview plan; beyond-boundary rows are reported as `missing` instead of dropped. + Manifest pages now use one read snapshot and de-duplicate identities that move across a + cursor while a concurrent import updates their path. +- Importing more than 1,000 files through the dashboard no longer fails with "Internal Server + Error": wizard upload routes parse multipart forms under the advertised 1,500-file ceiling + instead of Starlette's hidden 1,000-part parser default, oversized batches return a clear 413, + and large vault uploads no longer trip the dashboard's 8 MB default body limit. +- One unreadable or pathological file (locked, deep-nested JSON, concurrent writer) now degrades + to a per-file error instead of rolling back the entire import batch with a 500. +- Document/Obsidian import jobs whose worker died with the process are marked failed on the next + status poll (`worker_lease_expired`) instead of reporting `running` forever. +- Cloud-placeholder files (OneDrive Files-On-Demand) on Windows are hydrated and imported rather + than rejected as non-regular files; symlinks and junctions remain blocked. +- Galaxy layout now packs each complete solar-system envelope before orbital seeding and keeps + those envelopes separated with rigid carrier translations during live motion. Compact server + targets can no longer stack large systems near the black hole, while local planet positions, + velocities, event-horizon clearance, and the finite outer boundary remain intact. +- Galaxy hierarchy authority is now label-independent: an authored `anchor_role="global"` + selects the central mass regardless of its display name or evidence mass, while unannotated + compatibility scenes fall back deterministically through mass, rank, degree, and stable ID. +- The central black-hole adornment now advances a visible spin phase with the Galaxy physics + clock, so an otherwise satellite-free core no longer appears frozen while remaining the fixed + origin for the surrounding galaxy. +- Near-horizon curvature is now measured from each system's dominant-star carrier through a + bounded black-hole-scale band. A wide solar system can no longer be misclassified as already + inside the gravity well and have its ordinary galactic angular momentum drained. +- Galaxy systems revealed after the initial render, restored with zeroed velocity, or shown as + singletons now receive their own black-hole-frame tangential admission instead of being marked + seeded while stationary. Oversized Complete views use a bounded node-only hierarchical orbit + clock, and visible historical ghosts move as massless test particles without entering gravity, + contacts, or momentum. +- Galaxy members that appear before their eventual star, arrive through a later reveal, change + parent systems, or return with a zeroed local phase now receive one star-relative circular seed + without recoiling the dominant node. Existing healthy stellar orbits remain untouched. +- Dominant community stars now remain inertial at the centre of their moving solar-system frame. + Local gravity, stellar contact, dense separation, seeding, speed limiting, and the oversized + kinematic fallback move planets around that star instead of wobbling the star with its planets. +- Galaxy Reheat now wakes the persistent fixed-step clock without injecting bonus physics slices, + and cross-system separation is bounded so it cannot kick entire solar systems into a visible + fast-forward, ping-pong, or speed-cap pulse. +- Ledger graph reloads now retire and cache-bust a renderer that fetched successfully but failed + to register, instead of replaying the same broken asset response. +- Existing Galaxy preferences migrate only the retired `48` orbital-separation default to `60`; + deliberate custom values, including Gravity `0`, remain unchanged. +- Source-import hardening lands via separate PR #154: deterministic missing-item detection + now guards an unknown baseline instead of reporting spurious misses, denial-guard + supersession binds digests computed from the parsed record rather than raw input, + import-job finalization is generation-guarded so a stale worker cannot finalize over a + newer attempt, and the finalized-state check completes in constant time. +- Smart MCP `engraphis_session` now accepts `action="start_session"` and `action="end_session"` + (the full tool-name forms the Command Code harness sends when translating the AGENTS.md + `engraphis_start_session`/`engraphis_end_session` shorthand), normalizing them to `start`/`end` + before the pattern validation instead of rejecting them with a 400. + +### Documentation + +- `docs/LLM_PROVIDERS.md` now warns Windows users that `cmd` may resolve to `cmd.exe` + (the built-in Windows command interpreter) instead of the Command Code CLI, and explains + how to diagnose and work around the PATH collision. + +### Security + + +- HTTP error responses in `vault.py` and `service.py` no longer echo user-controlled paths back + to the client, preventing filesystem structure leakage (SEC-001). +- Graph visibility SQL helpers now use parameterized queries instead of `repr(float)` string + interpolation, eliminating a fragile SQL construction pattern (SEC-002). +- The `pypdf` dependency floor is raised to `>=6.15.0` to address PYSEC-2026-3655 and + PYSEC-2026-3656 (arbitrary code execution via crafted PDF objects). + +### Removed + +- The Hermes memory-provider plugin integration (`integrations/hermes/`, its + `ENGRAPHIS_HERMES_*` environment surface, and its integration test) is withdrawn from + the repository ahead of the v1.6 tag. The provider remains available in the v1.5 + release history for anyone who already copied it. +## [1.6] - 2026-08-15 + +Minor release advancing the v2 engine through schema 16 with deterministic sync state, trusted +local document and Obsidian import, tighter trust boundaries, synchronized agent guidance, and +stronger release and evaluation evidence. + +### Changed + +- The dashboard graph now separates two explicit presentation budgets. **High quality** keeps the + interactive renderer for focused exploration, while **Show all nodes** requests the complete + entity projection and uses a worker-backed level-of-detail renderer with batched WebGL2 points, + a bounded Canvas fallback, progressive relationship disclosure, and no live force simulation. + The all-node profile supports up to 20,000 entities and 200,000 relationships; larger filtered + results fail with an explicit capacity response instead of silently sampling an incomplete graph. + Repository and entity-type filters remain the supported route for narrowing oversized views. +- The Ledger knowledge graph now defaults to evidence-mass Galaxy gravity. The `galaxy-v6` + scene contract retains the magnitude of degree, PageRank, support, and repository evidence; + one mass value determines both visibly distinct star radius and gravitational pull. Deterministic + mass-ranked cores and orbital bands form local solar systems. The highest-evidence node becomes + the central black hole, rendered at least twice the ordinary evidence radius so its event horizon + remains visible at minimum Node size. Deterministic logarithmic arms seed a non-uniform disk, and + a fixed-step leapfrog clock advances eccentric, differential system orbits through an + evidence-derived core-plus-halo potential. Gravity now treats the dominant evidence node as + the explicit black-hole source: its field is `240` at the default slider and `864` at maximum, + while local solar-system, bridge, and drag gravity receives exactly half (`120` and `432`). The + smooth response remains true-zero and monotonic, and the rest of the core community contributes + through the softened halo rather than silently inflating the black-hole node's mass. External + solar systems also exert a weaker softened mutual field on one another: nearby evidence-heavy + systems perturb each other without requiring a relation edge, while the black hole remains the + dominant galaxy-wide potential. + The controlled centre pull is also doubled, retaining an immediate radial response rather than + hiding the stronger field behind a slower projector. Galaxy dynamics no + longer depend on D3 alpha decay, render cadence, or + force-directed settling. Galactic and local-system motion now uses a `0.021328125` fixed timestep, + another 30% slower than the preceding `0.03046875` cadence, while direct pointer movement remains responsive. + Every live seed coordinate and local orbit begins another 20% inward, putting + system centers at 40% of the original Galaxy radius. While live, the black-hole frame follows a + controlled inward spiral: Gravity 0 holds the loose seeded radius, and default/maximum convergence + now advances the same inward trajectory at 70% of its immediately preceding speed. Gravity slider input also + applies an immediate, reversible system-center response without changing local geometry or velocity: + its full range spans 40% radius contraction, and default-to-maximum visibly contracts about 31% + synchronously while maximum gravity retains its 3.6x field; + outward attempts still receive a 110% radial counter-projection and can never increase their + radius. Link distance now drives same-system evidence springs with twice the prior response and + a squared scale curve. Its default is now `8`, giving connected nodes a 0.25x rest length, 75% + tighter than the preceding default, while the full range still spans 1/16x tight orbits through + 25x loose orbits without allowing + cross-system relations to collapse the galaxy. A bounded mass-weighted positional relation + constraint makes Link distance respond immediately while preserving each solar system's centre + of mass. Orbital separation now owns an explicit same-system safety envelope instead of relying + on an imperceptible softening side effect: both its positional response and cushion scale are + doubled, spanning zero added space through 30 world units while preserving evidence-mass centre + of mass and removing closing energy. Dense projections retain the requested + compact radius and report unavoidable projected overlap instead of silently expanding the disk. + Near the core, the direct close-encounter term is 25% lower and its weight moves into the smooth + halo, reducing ejection without weakening the total evidence-mass field. Legacy layouts and + `/api/graph` remain available. + +### Fixed + +- Replace the packed-disk Galaxy regression with persistent softened-Newtonian dynamics. Galaxy + phase space is isolated from Compact and other legacy layouts, angular momentum is preserved + across layout changes, and large stars are visibly distinct. A smooth evidence-mass field keeps + each solar system bound while direct star-to-star gravity supplies smaller organic perturbations; + evidence bridges remain visible provenance without injecting non-central orbital energy or + relation springs compressing the scene into a graph blob. Dragging now leaves the fixed-step + Galaxy clock live without alpha changes, global reheats, reseeding, or detaching any global force. + The pointer owns exactly one moving mass source while every live body follows its softened + inverse-square gravity, whether linked or unlinked; distance and evidence mass determine the + response, and explicit relations only strengthen it. A bounded once-per-physics-slice projection + makes nearby unlinked bodies visibly follow without teleporting, freezing the rest of the graph, + or depending on pointer-event frequency. Pointer events update only the source position and + field membership--the gravitational response is sampled by the 30 Hz physics clock. The selected + Link orbit supplies a safe periapsis, + tangential momentum is retained, and release adds no wake or impulse. Freeze remains the sole + explicit motion gate. The explicit **Reheat layout** action now gives Galaxy a finite custom- + solver relaxation burst (30 extra steps, or 12 for large live scenes) instead of merely ensuring + its already-running clock exists; repeated clicks coalesce, current orbital phase is preserved, + and no D3 alpha, random kick, or orbital reseed is introduced. +- Eliminate false Galaxy "reheating" caused by two local solvers fighting each other every tick. + Link distance and Orbital separation now share the same lower-bound target, the redundant live + velocity spring no longer injects energy alongside the positional constraint, and close-range + separation dissipates closing radial motion. Correction-distance diagnostics expose whether a + system is genuinely settling without changing its orbital phase or waking D3. +- Stabilize dense solar systems and high-degree hubs without weakening their gravity. Link and + Orbital-separation constraints now sample one immutable phase and apply one simultaneous, + mass-balanced update per node instead of stacking an update for every incident edge. Aggregate + position and contact-velocity caps prevent a hub slingshot, while a system-relative speed fuse + damps only anomalous member motion and preserves each free system's center-of-mass orbit. +- Show unlinked entities in new Ledger and Classic graph views by default so isolated evidence is + not silently omitted. The toolbar still switches to a linked-only view, and persisted user or + saved-view preferences remain authoritative. +- Keep large Galaxy scenes interactive by replacing quadratic entity-visibility scans with + set-wise privacy pruning, driving evidence lookups from the requested relation IDs, and making + Ledger retries cancel and supersede stale scene requests safely. + +### Added + +- A dependency-free, source-neutral local document importer for Markdown, plain text, + reStructuredText, HTML, JSON/JSONL, CSV/TSV, configuration/XML text, and stdlib-readable + source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB documents, with existing local + adapters for PDF text, image OCR, and explicitly local-model audio/video transcription. + `engraphis import documents` and the + dashboard’s **Import local documents** flow + provide strict previews, safe per-file reporting, resumable source manifests, temporal + re-import history, and explicit conflict choices. Obsidian remains the rich Markdown adapter. +- Offline, repeatable Obsidian-vault import with strict dry-run previews, source + safety exclusions, resumable per-note progress, temporal re-import history, and + a trusted-owner dashboard wizard that uploads only `.md` note bytes plus content-free + attachment manifests. It ships through + `engraphis import obsidian`, the `engraphis-import` console alias, and a deprecated + v1 seed-script wrapper that maps legacy namespaces to v2 workspaces. + +### Security + +- Fail closed on new `user`-scope memory writes until records carry an immutable owner identity; + preserve historical reads and the existing promotion rejection instead of presenting + workspace-bound rows as private personal memory. +- Parse bounded dotenv-style configuration without an optional runtime dependency, and load it only from the owner-private + `~/.engraphis/config.env` or an absolute owner-private file selected by + `ENGRAPHIS_ENV_FILE`; arbitrary working-directory `.env` files are not a trust boundary. +- Clarify Cloud Sync credential-origin binding, secret-manager-only unattended credentials, + version-3 rollback evidence, and the deliberately incomplete first-contact state without + claiming an untrusted relay can prove a complete device set. +- Advance through schema 15: schema 12 classifies content-free erasure markers so local-only + `never_export` markers remain private and only validated `remote_erasure` markers may cross + sync boundaries; schema 13 adds per-memory hybrid logical clocks for deterministic + descriptive-state sync and durable, content-free proof that a memory crossed a sync boundary; + schema 14 adds Obsidian collection and import manifests; schema 15 generalizes them to + source-neutral `documents` and `obsidian` adapters, preserves temporal source lineage, enforces + adapter/job and target-scope integrity, and retains only bounded, content-free per-job + format/result metadata. Schema 16 persists the optional session target on import jobs and + enforces exact session equality for source lineage and job items. +- Bind each trusted-owner dashboard document or Obsidian run to an expiring, owner-session-bound, + one-time preview token over the exact note/document bytes, attachment manifest, target, source, + and conflict policy; invalidate changed client previews and keep job polling and cancellation + bound to the workspace where the job started. +- Make read-only Store inspection write-free for SQLite and injected/SQLCipher connectors: + require injected connectors to expose `open_read_only(path)`, open existing checkpointed files + with `mode=ro&immutable=1` plus `PRAGMA query_only=ON`, and reject missing paths or active + WAL/rollback journals before a connector can create or recover state. + +### Fixed + +- Publish separately backed vector-index changes for service memory-title edits only after the + canonical Store row, FTS mirror, portable vector, audit, and commit succeed; late Store failures + publish nothing, while post-commit provider failures preserve canonical state and record + content-free repair debt. +- Defer separately backed vector-index upserts and deletes during sync until each canonical apply + batch commits, coalesce repeated IDs, publish nothing on late Store failure, and record + content-free repair debt if the provider fails after commit. +- Synchronize the portable memory skill with the live Smart nine-tool and Classic 34-tool + surfaces, including the two intentionally narrower Smart overlap schemas, trust/origin fields, + planner and response bounds, context-savings filters, receipt anchors, and expanded health + output. +- Separate append-only event rows from episodic memories in every agent guide: event rows are not + recalled, deduplicated, reinforced, or consolidated, while recallable recurring outcomes use + governed episodic memories. +- Make every documentation and image target in the PyPI long description an absolute canonical + repository URL, and add offline contracts that reject future relative-link regressions. +- Replace unregistered external and consolidation numbers in the context-efficiency image with a + checksum-bound public fixture artifact; publish exact commands plus suite/config digests and + retain only deterministic aggregates reproduced by the checked-in offline fixtures. +- Align the canonical offline gate, protocol-only `core/` boundary and outer + `engraphis/factory.py` composition root, deterministic versus entrypoint vector-backend + selection, persistent embedding identity, v1 migration repair reporting, trusted configuration, + and hosted/local boundaries across public docs. +- Remove the obsolete consolidation source-supersession option across public docs; consolidation + now exposes only the explicit clustering, archival, profile, inference, structured, LLM, time, + and level controls implemented by the engine. +- Document the official LongMemEval-V2 six-variant, five-budget execution matrix end to end, + including clean-checkout completion receipts, exact source-question coverage, privacy-safe + export binding, matched `context_k=2` comparators, and memory-type count evidence. + +### Added + +- Dashboard Settings panel and startup banner now display the running Engraphis + version, fetched from the existing `/api/info` endpoint. + +### Fixed + +- Wrap `engraphis_get_memory` post-inspect body in error-redaction try/except + matching all other Smart gateway tools, preventing internal SQL errors and + file paths from leaking through FastMCP error responses. +- Fix malformed SQLite URI on Windows in `_keyword_search` and `/api/memories` + fallback paths: use `Path.resolve().as_uri()` instead of bare string + interpolation, matching the store's URI construction. +- Apply `_graph_csv()` limit enforcement to the `/graph` endpoint's `layers` + parameter, matching all other graph endpoints. +- Log a warning when `ENGRAPHIS_LLM_EXTRA_HEADERS` contains invalid JSON + instead of silently dropping the headers. + +## [1.5] - 2026-08-04 + +Minor release advancing the v2 engine to schema 11 with governed recall recovery, +embedding-space safety, reproducible release evidence, and stronger offline memory-quality gates. + +### Security + +- Add opt-in immutable Hugging Face model provenance enforcement for remote embedding models, + rerankers, and chunk tokenizers, with revision plumbing across v2 services and local front ends; + model loaders now explicitly disable remote code execution while local paths remain supported. +- Refuse redirects in loopback startup-health and PyPI metadata probes, and treat shortcut icon + paths as data across PowerShell, macOS shells, and Linux desktop files. +- Add an offline release gate proving that quarantined, review-pending, and caller-self-approved + external content is downgraded and stays outside prompt recall, including direct poisoned + edges and pending-memory-supported edges, while trusted graph evidence remains available. +- Reject control characters in hosted access and refresh credentials, including credentials + returned during rotation, before any network or persistent-state use. +- Restrict the Inspector API to loopback clients when no API token is configured, and exclude + pending or quarantined memories from managed-cloud snapshots. +- Harden update checks with bounded, link-safe cache reads, atomic private cache writes, strict + version limits, finite timestamps, and validated HTTPS or loopback-HTTP URLs. +- Route private credential and state-file reads through one bounded, race-resistant boundary that + rejects links, reparse points, non-regular files, invalid UTF-8, and oversized input. +- Raise the optional `cryptography` floor to 50.0.0 to exclude known vulnerable releases. +- Require the patched pytest line in supported release environments and give every CI pytest + invocation a private runner-owned temporary root, including the Python 3.9 compatibility lane. + +### Fixed + +- In schema 11, migrate pre-review trusted memories to explicit approval without releasing quarantined or + ambiguous evidence; recover the exact historical local-agent service-gate downgrade and expose + content-free eligibility diagnostics when review gating causes zero-result recall. +- Replace per-backend vector version checks with one active embedding-space fingerprint, make + Sentence Transformer/API spaces durable, rebuild on every space transition (including + A -> B -> A), and disable vector recall throughout interrupted or mixed-space rebuilds. +- Describe the stable sqlite-vec backend accurately as native exact KNN, add a dedicated + `vector` install extra, require the upstream release containing the vec0 delete fix, + and let server entrypoints select it automatically with a safe NumPy fallback. +- Make contradiction supersession failure-atomic so a failed predecessor invalidation cannot + leave two live facts. +- Bound reinforcement stability and migrate existing out-of-range retention state to schema 10. +- Preserve v1 graph endpoints during migration and publish migrated databases only after a + validated staging database is complete. +- Reject partial API embedding batches instead of persisting zero-vector placeholders; give + semantic embedding spaces durable, secret-free identities; and batch SQLite vector hydration. +- Prevent CLI metadata from overriding trusted local provenance and honor the selected namespace + for grounded chat. +- Keep service replacement atomic when the prior SQLite handle cannot close, and make + authoritative cloud denials fail closed in-process before their durable state writes complete. +- Keep tag publication reachable by defining every workflow-verified release check in the public + evidence manifest, including CodeQL, reproducible distributions, and fresh artifact smokes, and + bind the evidence provenance to the completed code-security job. +- Repair GitHub releases only from the frozen, hash-verified distribution set, excluding any + publisher receipt or other unverified file left in the working distribution directory. +- Exercise both the exact tagged wheel and source distribution in clean Python 3.9 environments, + including dependency resolution, pip check, core CLI startup, and in-memory remember/recall; + declare the CI build and vulnerability-audit tool versions instead of relying on runner images. +- Eliminate duplicate NumPy vector writes and commits after ordinary remembers, embedding rebuilds, + sync application, and title re-embedding. Store-backed indexes opt out only when they share the + exact canonical Store; separately-backed and injected indexes retain explicit synchronization. +- Replace row-by-row NumPy scan hydration with one filtered, fixed-width matrix read while + preserving temporal/scope filters, malformed-dimension isolation, deterministic ties, and + immediate visibility of newly written vectors. +- Surface best-effort graph, entity-linking, evolution, conflict-repair, and index-audit failures as + per-engine rate-limited, payload-redacted warnings instead of silently suppressing operational + faults. +- Honor the configured embedding dimension, vector backend, model revisions, reranker, and encrypted + connection path consistently across every v2 front end and the sync/consolidation CLIs, preventing + an operational command from accidentally rebuilding a persisted semantic space with defaults. +- Commit standalone entity links without closing a caller-owned transaction, and make the Windows + shortcut installer retain its redacted Desktop launcher fallback when PowerShell is unavailable. +- Serialize and make Store shutdown idempotent, add context-manager and weakref-finalizer cleanup, + and keep the offline suite from loading production embedding/reranker models merely because a + developer has optional semantic dependencies installed. + +### Added + +- Extend `eval.vector_scale` with input-identical NumPy/sqlite-vec exact-KNN comparisons, + explicit backend identity, deterministic result hashes, and setup-excluded latency envelopes. +- Add `engraphis-cli review list|approve` for content-free, scoped bulk review. Approval is + dry-run by default, requires a reason and one batch confirmation, excludes quarantined records, + and supports explicit ids, source/repo filters, and the legacy-agent signature. +- Add embedding coverage and prompt-eligibility health to service stats, stamp service ingress and + writer-policy provenance, and document recall recovery without direct database surgery. +- Add deterministic reinforcement and adversarial-memory release gates plus a hash-bound LoCoMo + evidence-repair manifest and complete pinned-dataset retrieval diagnostics. +- Pin the Pyright contract for core, backends, and external evaluation; require it in CI and release + evidence; verify distribution contents; generate a reproducible CycloneDX SBOM; byte-compare + normalized repeat builds; smoke fresh wheel/sdist installs; and bind complete-tree CodeQL to the + tag gate. +- Smoke all 14 installed console entrypoints from their distribution metadata and generated wrapper + paths for both wheel and source-distribution installs, with bounded timeouts and diagnostics. +- Add opt-in semantic-confidence calibration for retrieval-arm experiments while preserving the + existing default ranking until paired external non-inferiority evidence is available. + +## [1.4.5] - 2026-08-04 + +Patch release aligning the package, runtime, commercial manifest, and plugin metadata at 1.4.5 +for the governed recall/write hardening, schema 8 migration, Smart MCP gateway fixes, and +credential-safe evaluation capture included in PR #111. +Schema 9 adds repository-scoped tombstone support and performs a one-time entity-canonicalization +repair; `confidence` and `pinned_at`/`unpinned_at` were introduced by the preceding v7-to-v8 +migration. Known-repository tombstones are terminal only within that repository, while legacy +repo-less tombstones remain global. + +## [1.4.0] - 2026-08-02 + +Engraphis 1.4 makes the compact Smart MCP gateway the default agent interface while preserving +the complete Classic surface for existing integrations. It also strengthens external-write +governance, +bounded context delivery, secure erasure, and release/runtime hardening, and moves the v2 SQLite +schema to version 9 (schema-level additions include repository-scoped `memory_tombstones`; the +upgrade also performs a one-time entity-canonicalization repair), which migrates automatically on +first open. Known-repository tombstones are terminal only within that repository; legacy repo-less +tombstones remain global. + +### Upgrade notes + +- `engraphis-mcp` now exposes nine Smart tools instead of 34 direct tools. Clients that depend on + the former names should switch their server command to `engraphis-mcp-classic`; HTTP clients can + use `engraphis-mcp-http --classic`. +- Existing v2 databases migrate automatically to schema 9 on first open; the change is additive + and requires no manual step. +- The NumPy-only core supports Python 3.9+. Dashboard, MCP, documents, Cloud Sync, and `all` + installations require Python 3.10+ because their supported dependency versions require it. + +### Added + +- Smart MCP is now the zero-configuration `engraphis-mcp` default. It exposes nine compact tools: + sessions, prompt-ready recall, durable memory, discovery, validated read/action execution, and + governed record read/update plus conflict review. `engraphis-mcp-classic` preserves the former 34 + direct tool names and legacy alias response shapes for pinned integrations. +- The first-party `@engraphis/pi` package under `integrations/pi` exposes that Smart MCP surface + as native Pi tools, verifies the Engraphis 1.4.x handshake, and ships with independent npm + packaging and release gates. +- Hosts that retain their own conversation history can call the non-MCP + `POST /api/adaptive-context` endpoint. Advanced proactive context also supports a bounded, + content-lean compact response while Classic keeps its full response by default. +- Opt-in planned recall adds a bounded deterministic planner, an injectable planner protocol and + optional LLM backend, priority-weighted multi-query RRF, post-rerank memory-type maxima, stable + context revisions, and diagnostics-only planner traces across Python, service, REST, and MCP + recall surfaces. The default remains the existing single-query path (now on schema 9). +- A 40-task context-routing stress fixture, four-way five-budget ablation harness, pinned + LongMemEval-V2 planner configurations, and evaluation-only imported-resource hierarchy prototype + encode local regression gates and matrix tooling. Official benchmark, safety, and hosted-cache + artifacts remain mandatory before any default or schema change. + +### Security + +- The Pi extension preserves the Smart gateway's destructive boundary: every discovered + state-changing action requires an explicit Pi confirmation, fails closed without a dialog, + and consumes its capability after one approval attempt so unknown outcomes are not retried. +- Public writes now enter an explicit review gate: MCP, REST/dashboard-intent, import, sync, and + extractor ingress are pending regardless of a caller-supplied trust label; detector matches are + quarantined before they can contribute to prompt context or derived state. Human approval creates + a fresh audited successor only through the CSRF-bound dashboard action or an interactive TTY + command, never through MCP or a general REST endpoint. Historical rescans demote non-approved + records and retire their derived bridges. Public history, graph/code retrieval and indexing, and + consolidation apply prompt eligibility before ranking or capacity decisions, so pending or + quarantined records cannot influence prompt-visible results through derived bridges. +- Smart MCP authorization now fails closed: discovery and read execution require viewer access, + state-changing execution requires admin access remotely, and pure reads do not emit write-side + telemetry receipts. Executor output is bounded without retrying or double-running handlers. +- Tokenless remote requests to the read-only recall and repository-graph API now fail closed; + health and OpenAPI discovery remain public. +- The deterministic detector now uses a pinned Unicode TR39 15.1.0 ASCII projection rather than + a short hand-picked table, covering additional Latin, Cyrillic, Greek, mathematical, and legacy + glyph substitutions without an online lookup or runtime dependency. +- Secret scanning is cycle-safe and depth-bounded, and PostgreSQL source identities are reduced to + credential-free digests for both URI and libpq keyword DSNs. + +### Fixed + +- Secure erase now rebuilds shared-edge provenance from surviving support rows. Historical-only + support remains available to time-travel reads while the edge is closed in the current graph. +- API embedding backends now validate dimensions, response cardinality, item indices, finite + values, and normalization before accepting provider output, with consistent bounded fallback. +- Planned-recall datasets reject dangling references, vector dimensions are bounded across local + and SQLite backends, and sync imports accept pinned state only when it is the literal boolean + `true`. +- The production image now removes build-only pip and its vendored dependency snapshot after + installation, eliminating unreachable vulnerable packages from the runtime attack surface. +- Automatic LLM retention supervision now discards proposed retention values when it + demotes an unapproved `critical` label; legacy poisoning rescans also honor + `--keep-unlabelled`, and code-memory exports apply eligibility before their result cap. +- Scope promotion now preserves an owner-approved detector match and its stable claim identity + without re-quarantining the approved derived copy. +- `engraphis connect` now treats its printed summary as a provider trust boundary: only bounded, + printable registration metadata is rendered, preventing malformed control-plane values from + being reflected into CLI or JSON output. +- Explicit local `engraphis-cli ingest` commands now record local-owner-approved provenance, + allowing their memories to appear in ordinary subsequent CLI recall. HTTP, MCP, import, and + file-ingestion boundaries remain pending review. +- The standalone v1→v2 migrator now refuses in-place and pre-existing output paths before + opening either database, preventing accidental mixing of legacy source history into a v2 target. +- Cloud Sync now closes failed HTTP response streams without reading their untrusted error bodies, + preventing descriptor leaks during repeated relay failures. +- Hosted customer clients now bind provider credential/session state before persistence and + preserve sanitized authorization/billing outcomes when an HTTP error body is truncated, so a + one-time connection cannot be stranded by an unreadable state file or retain stale paid badges. +- Authoritative hosted managed-compute authorization denials now immediately settle local + entitlement presentation state, so a revoked, lapsed, or de-authorized account is not shown + stale paid feature access while awaiting a background refresh. +- The production image health probe now follows the active IPv4 or IPv6 loopback listener, + preventing a Railway IPv6 deployment from being marked unhealthy while its readiness route + is serving traffic. +- Grounded recall's absolute support floor ignores titles and non-finite semantic scores, so + display text cannot independently make an answer eligible. +- Keyed-claim deduplication ignores harmless punctuation, and legacy zero, negative, or non-finite + stability values use the documented one-day default instead of producing invalid decay scores. +- Approval requires a non-empty audit reason, accepts only a live pending source, and preserves the + reviewed claim's pin, sensitivity, and keyed identity on its approved successor. +- The zero-config Compose quickstart remains loopback-only; a LAN deployment is an explicit, + token-protected operator choice and cannot inherit the local Docker bridge trust exception. +- Credential-shaped values are rejected before capture can create memory, FTS, vector, event, or + sync copies. `retire` is the canonical temporal lifecycle operation; targeted `secure_erase` + removes an already-leaked record and known local derivatives while reporting physical limits. +- The standalone MCP-over-HTTP launcher is explicitly loopback-only. Remote MCP clients must use + the dashboard's authenticated `/mcp` endpoint instead of an unauthenticated FastMCP bind. + +### Changed + +- MCP-over-HTTP has a packaged `engraphis-mcp-http` command and a generic local setup guide. The + project makes no client-specific integration claim without a maintained guide and integration + test. +- `.env.example` now mirrors runtime defaults for decay, context packing, loop cadence, and recall + depth so copied configurations do not silently override the documented behavior. + +## [1.3.0] - 2026-08-01 + +### Added + +- The optional `hosted-eval` extra adds guarded hosted-Luna productivity evaluation with a + redacted public evidence exporter. +- Protected public benchmark workflows now support redacted hosted and retrieval evidence runs. + +### Security + +- Untrusted ingress now fails closed: provenance and extractor metadata are allowlisted, suspicious + records are quarantined before embedding, linking, graph extraction, resolution, recall, or + grounding, and `scripts/rescan_poisoning.py` can retroactively label or quarantine old records. +- Trust is preserved across resolution, structured graph writes, consolidation, entity profiles, + and review paths. Untrusted records cannot mutate or promote trusted memory, and derived outputs + remain trusted only when every source is explicitly trusted. + +### Documentation + +- README and release guidance now match the current install extras, public entry points, product + boundaries, and focused MCP/provider documentation. + +### Fixed + +- Public server entry points now share the v2 service, keeping recall behavior consistent across + the dashboard, server, Compose, Classic, and MCP-over-HTTP. +- Keyed mutable-fact replacements now load their live predecessor directly, so reworded updates + preserve history without relying on vector top-K recall. +- Versioned deterministic embeddings now rebuild persisted vectors after a mapping change, keeping + existing databases searchable after an upgrade. +- Prompt-facing recall now widens candidate search when untrusted results crowd out trusted + evidence, while keeping expansion bounded. Title text now contributes to absolute support floors + for grounded and hosted recall. +- Hosted productivity evaluation now scores canonical, acceptable, or supporting-evidence answers + with strict natural-language framing instead of token containment or raw JSON text. +- Hosted-Luna workers on Windows now establish kill-on-close containment before sending input; a + failure refuses the request, and timeouts clean up the full worker tree. +- Poisoning rescans preserve existing temporal validity boundaries and invalidate affected edges + without overwriting governed history. + +### Changed + +- CI and release/install metadata now cover Python 3.13 and 3.14. + +## [1.2.5] - 2026-07-31 + +### Added + +- `engraphis_context_savings` aggregates validated, content-free recall receipts by workspace, + repo, operation, and token-counter identity. The view is available through the service, + dashboard, and read-only APIs. +- Recall supports an explicit adaptive candidate-depth experiment while retaining the historical + fixed depth by default. Performance reports record requested and actual candidate depths. +- `MemoryEngine` and `MemoryService` now provide adaptive context routing: bypass retrieval when + prompt history fits, use compact recall when support is strong, and fall back to bounded recent + history when support is weak. +- `eval.productivity` measures task completion, corrections, agent turns, memory calls, latency, + and model-facing tokens. +- Chunk ingestion can enforce budgets with a configured Hugging Face tokenizer and records the + counter identity, target, and overlap in chunk metadata. +- Offline adapters now cover MemoryAgentBench, LoCoMo-Plus, and Mem2ActBench, with a paired + full-history versus Engraphis code-agent analyzer. +- Public benchmark evidence can carry source hashes, repository state, environment and model + provenance, secret-redacted commands and URLs, content digests, and adjacent immutable SHA-256 + files. + +### Changed + +- Context-economy evaluation now compares full history, a same-budget recency window, and hybrid + recall while accounting for indexing cost. +- Official LongMemEval-V2 output has a dedicated redacted evidence exporter that retains the + official QA, token, and latency measures without publishing prompts, answers, model output, or + retrieved context. +- Folder-sync dry runs no longer create a remote directory or persist a local device identity. + +### Fixed + +- Sync rejects malformed scope/repo combinations and every peer-driven visibility change for an + existing memory, including malformed legacy rows. Scope promotion or repair remains a local, + explicit governance operation. +- Workspace consolidation excludes session-private memories and partitions digests and entity + profiles by their exact visibility owner, preventing cross-repo or cross-scope summaries. +- Tokenizer-aware chunk overlap can no longer exceed the configured prose budget or emit a + duplicate overlap-only record before an oversized paragraph. Invalid token counters fail + closed instead of silently producing mis-sized chunks. +- Ledger graph interactions preserve manually selected nodes during refreshes. +- The new evidence guide is included in wheel and source distributions. + +## [1.2.2] - 2026-07-30 + +### Fixed + +- Cloud Sync now continues past legacy plaintext, malformed, and tampered relay objects while + still failing closed for each object. Later authenticated peer bundles apply, and the affected + sync round is explicitly reported as incomplete rather than successful. +- Security and sync documentation now consistently distinguish end-to-end encrypted Cloud Sync + from the separately readable managed-compute snapshot service. +- README visual PNG exports now use their SVG canvas dimensions without hidden screenshot padding. + +## [1.2.1] - 2026-07-30 + +### Security + +- Cloud Sync now encrypts every eligible shared-workspace bundle on the client with + ChaCha20-Poly1305 before upload. The relay receives opaque deterministic bundle names and + ciphertext only; tampered, renamed, cross-workspace, wrong-key, and legacy plaintext bundles + are rejected before the merge engine. +- Cloud Sync requires a client-held 32-byte workspace key and the `cloud-sync` optional runtime. + Missing or malformed encryption configuration stops sync rather than falling back to plaintext. + +### Changed + +- Cloud Sync privacy copy now states that eligible shared-workspace changes are encrypted + end-to-end before leaving the device and cannot be read by Engraphis Cloud. Product and + security documentation separately identifies managed compute as the readable, bounded-snapshot + service it is. + +## [1.2.0] - 2026-07-30 + +### Added + +- `engraphis_recall_context` brings the MCP surface to 30 tools and is the compact, hard-budget + path for agent prompts. It returns packed context, compact source identities, strict token usage + fields, optional retrieval diagnostics, and preserves `engraphis_recall` as the full-response + compatibility surface. +- Recall and grounded recall now expose `valid_at` (world time) and `known_at` (system time); + `as_of` remains the compatible `valid_at` alias and conflicting anchors are rejected. Retrieval + defaults to the `balanced` profile; `auto` remains explicit opt-in. +- MCP and HTTP remember calls can set a fact's world-time `valid_from`; recall, grounded recall, + and the compatibility answer tool can run a point-in-time `as_of` query. +- `eval.performance` reports full recall-pipeline quality, packed context tokens, and + p50/p95/p99 latency with a reproducible JSON schema and deterministic corpus scaling. +- Schema v5 adds temporal history for symbols, code edges, code-memory links, and persisted + memory-entity incidence. Code retrieval is now a first-class profile, and graph walks use + bounded sparse PageRank instead of a dense quadratic transition matrix. +- Optional `subject_key` and `claim_kind` make mutable claims explicit. Uncertain similar facts + are conservatively related while keyed or strongly evidenced contradictions supersede. +- `engraphis-benchmark/v2`, canonical workspace exports, and release-evidence manifests provide + deterministic hashes, per-question records, fixed token-budget curves, and validation before + public evidence is written. + +### Fixed + +- Supersessions now close the old fact at the replacement's effective world time instead of its + ingestion time. Superseded, corrected, promoted, merged, forgotten, and consolidated source + vectors remain available to historical semantic recall while temporal filters keep them out of + the current view. +- Non-finite write and recall timestamps fail validation instead of entering scoring or SQLite. +- Ordinary recall is observational by default, so weak nearest-neighbor results do not gain + stability merely by being returned. Grounded recall still reinforces only cited evidence, and + Python callers with an explicit use signal can request reinforcement. +- Code and PPR retrieval now restrict incident-symbol and memory-entity lookups to the reachable + frontier before applying their safety caps, and repo writes link text mentions to visible + workspace-level entities. + +## [1.1.5] - 2026-07-28 + +### Changed + +- Simplified the Ledger and Classic graph controls by removing the complete-graph action. +- Replaced the README Knowledge Graph image with the corrected Ledger screenshot. + +### Fixed + +- Ledger now has one working `Show unlinked nodes` control that reloads the intended bounded + graph view. +- Time-travel graph views prioritize support visible at the selected anchor, and graph drag + handling remains safe when browser animation-frame globals are unavailable. + +## [1.1.2] - 2026-07-27 + +### Added + +- **The complete Ledger design is now the primary local WebUI**, ported from the final + five-area design package without its sample store or unsafe design runtime. Today, grounded + Ask, Library, the advanced Graph & Relations view, Provenance, and Manage all use live v2 data. + Manage includes workspaces, reviewed local consolidation, hosted Analytics/Automation/Team + status, the full plan comparison, settings, and persisted Slate, Midnight, Paper, and Matrix + themes. +- Ledger now exposes the production grounded-answer route (`POST /api/answer`), returning a + cited answer or an explicit abstention. Graph & Relations ships the supplied graph capabilities: + five layouts, four render styles, palettes, degree/betweenness sizing, bridge detection, + valid-time filtering, superseded ghosts, focus, and automatic cluster collapse. +- The complete former dashboard remains available at `/classic`. Both interfaces expose a + visible dashboard selector and share the same workspaces, memories, receipts, and engine. + +### Changed + +- Ledger defers both the CSP-sensitive renderer and graph payload until Graph & Relations is opened, + ignores stale workspace responses, renders memory text through DOM text nodes, and provides + responsive, reduced-motion-aware keyboard focus styling. Classic loads its lazy graph vendor + dependency from its own packaged backup tree. +- Graph nodes now use oversampled, cached screen-space material rendering with face-level + texture: full-face iridescent PVD for Cyber, directional blue-violet anodizing for Galaxy, + concentric brushed copper for Solar, and horizontal satin gunmetal grain for Classic, with + deterministic low-detail fallbacks for large graphs. +- Dashboard asset URLs now carry the node-material revision and local static responses + revalidate, preventing an already-open browser from pinning the pre-material renderer. +- Pro and Team purchase actions now preserve both the selected plan and billing interval, while + existing or lapsed subscribers are sent to the plan-neutral account portal for billing recovery. + Public documentation now distinguishes hosted-account grace and recovery behavior from the + always-local, Apache-licensed dashboard and MCP write paths. + +### Fixed + +- Token-protected dashboards can now establish a short-lived signed, HttpOnly browser session + without storing the API token in browser storage. Remote peers remain denied when no token is + configured, and non-loopback v1 server startup is refused unless authentication is enabled. +- Hosted entitlement refreshes use bounded exponential backoff, terminal denials settle every + local entitlement view, inactive sessions expose no paid feature flags, and ambiguous + single-use refresh responses permanently retire the possibly spent credential instead of + replaying it. +- Recommended Automation bootstrap is resumable across partial upload/policy-save failures and + authorizes paid work before generating or locking a local snapshot. +- Release checks now enforce commercial prices and trial terms, expose skipped tests instead of + hiding them behind duplicate quiet flags, and verify the full-stack dependency imports used by + the HTTP authorization boundary. + +### Security + +- Credential state directories are owner-only, product token forms are redacted consistently + from logs, checkout overrides fail closed to validated HTTPS or loopback HTTP destinations, and + unsafe control characters can no longer reform blocked browser URL schemes. + +## [1.1.0] - 2026-07-26 + +Public 1.1.0 hosted-connect and graph-experience release. + +### Added + +- **`engraphis connect --token engr_ct_…`**: the missing client half of device connect. + `cloud_session.save_bootstrap()` is the only writer of `~/.engraphis/cloud_session.json`, + and it had no production caller: the docs told paying customers to prefer a file nothing + created, so a purchased installation could not be connected without hand-writing state. + The new command redeems the one-time connect token from the account portal against + `POST /v1/devices/connect`, saves the returned session with owner-only permissions, and + verifies `cloud_session.configured()` before reporting success. The token is sent in the + request body and nowhere else; it is never printed, logged, or written to disk, and every + refusal maps to fixed, actionable copy (an expired or already-used token is not confused + with a lapsed subscription). Session storage is pre-flighted before the exchange, so an + unwritable state directory or a `cloud_session.json` replaced by a link fails the command + *without* spending the single-use token; the customer fixes the path and retries with the + same token instead of returning to the portal for a new one. Faults that can only happen + *after* the exchange: a reply truncated mid-body (`http.client.IncompleteRead`), or an + endpoint that stops resolving before the session is written (`CloudUrlUnresolved`) are + reported as errors that say the token was already used, rather than escaping as tracebacks + that leave the customer unable to tell whether to retry. Also installed as + `engraphis-connect`. +- An `engraphis` front-door command that dispatches to the existing `engraphis-` + entry points, so the command the account portal displays is runnable as shown. +- A stable per-installation identity at `~/.engraphis/client_identity.json` (random ULIDs, + not a hardware fingerprint) so reconnecting a machine updates its existing installation + instead of registering a new device every time. + +### Removed + +- Removed an unimplemented hosted export claim from public product surfaces. + +### Changed + +- Managed compute consent now travels with the cloud account: an installation connected to + Engraphis Cloud is enabled for managed analytics, dreaming, and consolidation **by + default**, because connecting already accepts the terms that cover it. A local-only + installation with no cloud session is still never allowed. + `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` remains as an explicit operator override (`=0` opts a + connected installation back out, `=1` forces it on regardless of session state) and is no + longer surfaced anywhere in the UI. + +## [1.0.1] - 2026-07-24 + +Public 1.0.1 client reliability release. + +### Fixed + +- Cloud Sync now defaults to `https://relay.engraphis.com` and safely migrates the former + dashboard host and retired Railway relay URL without changing customer-provided relay URLs. +- Default Pro and Team upgrade links now target the live authenticated account portal rather + than the retired Team dashboard host. +- Hosted endpoint validation now fails closed unless DNS establishes a globally routable + destination, and credential-bearing HTTPS connections pin the vetted address while preserving + original-host TLS verification to prevent DNS-rebinding SSRF. +- Hosted Automation and maintenance requests now use the selected workspace end to end rather + than silently falling back to the first workspace. +- The Automation tab has one proposal action, clear managed-upload disclosure, and explicit + managed-compute consent in addition to entitlement checks, snapshot redaction, and limits. +- Commercial metadata now describes Pro as one owner account across that owner's local + installations, matching the hosted entitlement model; Team remains billed per named seat. +- API error responses and provider logs no longer expose arbitrary exception or configuration + text; local folder and repository reads resolve and re-check filesystem boundaries. +- Entity extraction and dashboard asset migration avoid adversarial regular-expression + backtracking. CodeQL now disables pull-request diff-informed analysis and CI fails on every + raw SARIF result, including pre-existing and source-suppressed results. +- The documented grounded-recall evaluation prints with the default Windows console encoding. +- Hosted Pro and Team links preserve the selected plan through account creation and Checkout. +- A total `401`/`402`/`403` Cloud Sync authorization loss restores the hosted recovery CTA, + while a successful empty or read-only workspace remains a partial result instead of being + misreported as a total denial. + +## [1.0.0] - 2026-07-23 + +Public 1.0.0 open-core GA release. + +### Added + +- The search-first Galaxy Knowledge Graph explorer with deterministic communities, canonical + evidence-weighted scenes, entity/relation search, temporal filtering, evidence and history + inspection, strongest-evidence paths, synchronized accessible tables, saved scene state, + local PNG/JSON/CSV export, Simple and Advanced views, and a locally bundled ForceGraph + D3 renderer + under the strict same-origin CSP. +- Additive schema-v4 canonical identity and bi-temporal edge-support records; deterministic + graph scene, suggestion, entity, and path APIs; and a persisted graph-index job with dry-run, + progress, cancellation, bounded errors, audit records, and tamper-evident receipts. +- A 29-tool MCP surface with explicit behavior annotations, operation receipts, exact session + retry semantics, portable plugin manifests, and checksummed skill assets. +- Customer-side hosted protocols for scoped Cloud Sync, rotating cloud sessions, Analytics, + and managed Automation requests, plus explicit manual folder exchange for local workflows. + +### Changed + +- The public distribution is a universal Python open-core package that runs only as a customer + node. Hosted authorization, billing, relay storage, managed compute, Team identity, workers, + and vendor operations remain private services. +- Commercial compatibility modules now expose presentation and customer-protocol metadata only; + no environment variable turns the public package into a hosted Engraphis service. +- Session identity is exact across workspace, repo, authenticated user, agent, and goal; callers + can request a distinct run with `force_new=true` and observe retry reuse explicitly. +- The legacy graph view defaults to deterministic community islands, keeps sparse influence + bridges subordinate, and renders bounded A-MEM links when entity extraction is disabled. The + repository screen demo proves session handoff, bi-temporal supersession, recall evidence, and + history without an external service. +- The hosted no-card trial is exactly 3 active days after email confirmation. A separate + `workspace_write_grace` may preserve ordinary local writes for at most 24 hours but never + extends trial or paid cloud access. +- Apache-2.0 rights in published releases remain irrevocable; proprietary hosted value is + enforced by the private implementation and service authorization boundary. + +### Fixed + +- Session start/end and session-scoped writes are atomic under concurrency; exact retries reuse + one session while intentionally separate runs remain distinct. +- Rotating refresh credentials serialize across threads and processes, persist replacements in + owner-only state, close failed HTTP responses, and never regress to a stale bootstrap value. +- Managed snapshots reserve a monotonic generation in the same local write transaction as the + capture, use one operation ID per run and retry, redact provider errors, reject unknown + sensitivity, exclude session and secret data, and enforce exact record/byte limits. +- Graph reads, suggestions, evidence, history, indexing, exports, audit views, fallback search, + and workspace statistics consistently enforce workspace and session boundaries, including + forgotten session-only graph evidence. +- Windows private-state validation uses safe file metadata checks without weakening symlink, + ownership, size, or atomic-publication protections. +- Recall graph seeding uses one boundary-aware compiled pattern instead of rescanning every + memory per entity, and the streamable HTTP launcher warms the singleton service before + accepting clients. +- Graph GET requests remain read-only and return a rebuilding conflict while an explicit + mutating index job is in progress. + +### Security + +- Bare memory IDs, shared-workspace controls, graph entities, statistics, snapshots, exports, + audit rows, and keyword fallbacks cannot cross authenticated session or workspace boundaries. +- Managed uploads require explicit customer consent, are capped at 16 MiB and 100,000 rows, + omit all session-scoped and secret-class memories, and surface only fixed client-safe + provider errors. +- Customer credentials remain owner-only, redirect-safe, serialized during rotation, and are + never substituted with an unproven local machine identifier. + +## [0.9.9] - 2026-07-18 + +Security and reliability release spanning graph isolation and performance, Team / Pro +authentication, licensing and relay behavior, and the redesigned Knowledge Graph. + +### Security + +- Code-graph search, path, impact, export, and unified-graph reads now apply the same + workspace/repo/session hierarchy filter as recall. Session-scoped memory content and + identifiers previously remained reachable through persisted code-memory links from a + repo-level caller. Reindexing still rebuilds those links for the owning session, but + every read now filters them by caller-visible scope. +- Auth-bound dashboard users can no longer omit `workspace` to reach global recall. + Inspector per-user and deployment bearer tokens now bind real or synthetic identities + before personal receipt reads, so the deployment service account remains available for + shared automation without bypassing personal-folder ownership. The standalone + read-only graph endpoint also disables lazy write-on-read backfill. +- Repository indexing now creates a first-time Team workspace through the same + privacy-aware path as remember/import/session writes, instead of silently creating a + shared, unowned folder for the authenticated user. + +### Fixed + +- Code-graph layer responses and filters now use the concrete persisted layer, including + inferred causal relations and explicitly semantic code edges. Code-memory link rebuilds + page through every live repo-associated memory instead of clearing the bridge and + stopping at 5,000, and Git impact parsing uses NUL-delimited paths without rewriting + valid filename characters. +- Graph layer predicates are applied before workspace and code-edge response caps, and an + explicit all-off layer selection remains empty instead of reverting to every layer. + Layout preset and custom link-distance changes also recompute component centers while + preserving the existing graph data and node objects. + Filter reloads also tolerate transient graph-data invalidation, so restoring layers + redraws the canvas instead of leaving the explorer list beside an empty graph. +- Oversized audio/video resources are rejected before transcription begins. A blank + `ENGRAPHIS_GRAPH_TOKEN` now correctly falls back to `ENGRAPHIS_API_TOKEN`. +- The sync relay now has its own per-IP token bucket + (`ENGRAPHIS_RELAY_RATE_PER_MINUTE`, default 600) instead of sharing the + 60-request/minute license-registration budget. A full 64-bundle sync round can complete + without throttling its final requests, while invalid-key floods remain bounded before + Ed25519 verification. +- Every `/start-trial/verify` response (success, each error, and the 429) sends + `Cache-Control: no-store` and `Referrer-Policy: no-referrer`. The request URL carries + the one-time token, so the error pages are as Referer-leaky as the success page that + holds the key; they previously used separate inline header literals and had drifted. + +### Changed + +- `GET /api/auth/users` checks `admin` at the route, matching `auth.min_role()`. The + middleware already enforced admin, so this is defense in depth with no behaviour change; + the route previously said `member`, which was dead code that misrepresented the policy. +- Successful version-tag publication now creates the matching GitHub Release and attaches + the same validated wheel and source distribution sent to PyPI. Manual workflow dispatch + remains build/check-only, and the release job is tag-gated behind successful PyPI + publication. +- The Knowledge Graph defaults to compact component-aware packing and adds community, + radial, constellation, original, and custom layouts; selectable Cyberpunk, Galaxy, + Solar system, and Classic visual styles with persisted palettes; per-type node colors; + a synchronized keyboard-accessible explorer; collision-aware labels; and responsive + controls. Large graphs reuse rendered data, cap explorer DOM rows, reduce animation + work, and suppress expensive dense-graph effects. +- The duplicate global Recall shortcut was removed from the dashboard header. Recall + remains available in the Memory Operations sidebar and from contextual page actions. +- The README documentation was expanded to clarify note-link graphs, agent memory, code + awareness, encryption, and sleep-time consolidation without making unmeasured product + comparisons. +- The README now documents Command Code CLI as an MCP-native client and includes its + verified stdio registration command. + +## [0.9.8] - 2026-07-18 + +Hardening release focused on dependable installation, upgrades, startup, dashboard use, +and safe hosted deployment. + +### Security + +- Every entrypoint sends baseline response headers: CSP, `X-Frame-Options: DENY`, + `X-Content-Type-Options`, `Referrer-Policy`, `Permissions-Policy`, and HSTS over HTTPS + only. Override with `ENGRAPHIS_CSP` / `ENGRAPHIS_HSTS`; set either to an empty string to + omit that header where a fronting proxy supplies its own. +- Loopback/bootstrap trust now rejects all common forwarding metadata, including + `X-Forwarded-Proto`; a same-host TLS proxy can no longer make an internet request + look like an unproxied local setup request. +- Inspector first-admin setup now uses the auth store's atomic empty-database gate, so + concurrent different-email requests cannot both create administrators. + +### Added + +- MCP clients now receive canonical recall, session, durable-memory, and handoff guidance + through the server's initialization instructions. +- The dashboard exposes a small `/api` service index, and the graph CLI documents its + public commands without showing the internal merge-driver command. +- Regression coverage now exercises the sqlite-vec backend, workspace-aware entity recall, + installed database migration, encryption packaging, CLI startup, update paths, and release + artifacts. + +### Changed + +- Installed builds now keep the default database in the platform user-data directory. + Existing package-directory databases are copied with SQLite's backup API, validated, and + preserved as recovery copies; source checkouts retain their repository-local default. +- `engraphis-update` discovers the highest stable SemVer tag, validates explicit versions, + fails closed on fetch errors, refuses dirty editable worktrees, and keeps pip, pipx, Git, + and documents the source-rebuild path for locally built Docker images. +- Dashboard styling and navigation were reworked with five selectable themes, responsive + mobile behavior, semantic landmarks, improved keyboard focus, clearer confirmations, and + fully self-hosted browser assets. +- Console launchers now validate arguments before optional imports, report actionable startup + failures, display reachable IPv4/IPv6 URLs and resolved database paths, and advertise the + current dashboard and API routes. +- Optional-dependency bounds and extras were refreshed. The cross-platform `all` extra no + longer pulls the platform-limited SQLCipher driver, while encryption continues to fail + closed when no compatible driver is available. +- The release workflow now pins actions by commit, runs the full test/evaluation and package + validation gates, matches release tags to package versions, and reserves publishing for + validated tag pushes. Bundled browser-library license notices are included in distributions. +- Installation, hosting, sync, graph-query, MCP tool-count, and database-location guidance was + synchronized with the current commands and runtime behavior. + +### Fixed + +- Installed `engraphis-init` configuration is now loaded from the current directory's + `.env` without parent traversal, while explicit environment variables retain precedence. + Upgrading no longer opens a fresh platform-default database instead of the database the + user selected through `engraphis-init`. +- A failed dashboard memory-detail request can no longer retain a prior memory identity or + leave write controls enabled, preventing a later Save from modifying the wrong memory. +- A fresh hosted deployment now renders an actionable, non-data bootstrap screen when remote + API access is denied by default; it offers the safe Team-trial path or deployment-variable + setup without exposing account-wide license activation to a signed-out browser. +- Dashboard, REST, Inspector, MCP, licensing, sync, billing, and provider failures now return + bounded user-facing messages rather than raw exceptions or upstream response bodies. +- Trusted-proxy handling now evaluates the rightmost forwarded hop, supports exact/CIDR + allow-lists, and prevents untrusted forwarding headers from changing URLs or secure-cookie + decisions. Interactive API documentation is disabled on user-facing servers by default. +- Dashboard handlers now read memory, workspace, member, and token identifiers from escaped + `data-*` attributes instead of interpolating untrusted values into inline JavaScript. +- Repository-graph JSON output now escapes non-ASCII labels so Windows console encodings do + not turn successful `impact`, `prs`, or query commands into exit-code 2 failures. +- A server-only installation now includes the multipart parser required by dashboard import + routes instead of depending on the unrelated MCP extra to provide it transitively. +- `engraphis-mcp --help` works without importing the optional MCP stack; server-only and + explicitly offline configurations no longer emit misleading missing-dependency warnings. +- Dashboard and legacy-server launch failures retain database recovery details instead of + collapsing them into generic errors, and invalid port values are rejected cleanly. +- SQLite vector selection is now tested in both accelerated and offline-fallback modes, while + memory writes remain durable and audited if an index update fails. +- The zero-configuration Compose dashboard now admits its Docker host bridge while both + published ports remain loopback-only; widening a port requires an API token. +- Git-installed updates retain their recorded PEP 610 remote, and failed editable updates + restore the original branch without exposing a Python traceback. +- Customer-operated sync relays are separated from the managed license/trial/invite service, + and the sample `.env` no longer overrides installed database defaults with a relative path. +- MCP end-of-session guidance again represents completed work with an empty unresolved list + instead of persisting a fake open thread. + +## [0.9.7] - 2026-07-17 + +### Security +- Team-mode login gained a per-source-IP failure throttle (25 failures / 15 min) + alongside the existing per-email lockout, closing the credential-stuffing sweep + that tried each address once; lockouts now surface as a typed + `AccountLockedError` mapped to HTTP 429 + `Retry-After` (previously 401, or a + 429 derived by substring-matching the error message). + +### Fixed +- `remember`/`remember_with_resolution` are now atomic across the neighbor-resolve → + insert sequence (engine-level write lock): concurrent near-duplicate writes can no + longer both resolve ADD and store duplicates instead of NOOP/INVALIDATE. +- The Inspector's `/api/auth/login`/`setup` no longer run PBKDF2 (600k iterations) + on the asyncio event loop; password hashing moved to a worker thread, so a burst + of logins can't stall every other request. +- A failed vector-index upsert on the write path is now logged and audited + (`index_upsert_failed`) instead of silently swallowed. Previously, the memory + stayed invisible to semantic recall with no trace. +- URLs built from a bind host are now IPv6-safe and connectable (`engraphis.netutil`): + `ENGRAPHIS_HOST=::` no longer yields the malformed `http://:::8700` in the printed + dashboard URL, the :8710 redirector target, or `Settings.base_url`; wildcard binds + map to loopback. +- The Docker image no longer bakes an IPv4-only bind: the entrypoint defaults + `ENGRAPHIS_HOST` to dual-stack `::` when the kernel has IPv6 (what Railway's + private-network healthchecks require) and `0.0.0.0` otherwise, so wiping the + service's env vars can't regress the 2026-07-16 healthcheck outage. + +### Changed +- Consolidated four per-app bearer-token checks into one constant-time + `inspector.auth.bearer_ok` helper (scheme now matched case-insensitively per + RFC 7235 everywhere); extracted the ~230-line code-graph HTML/Markdown export + templates from `core/engine.py` into `core/codegraph_export.py`; documented the + v1/v2 split in `engraphis/routes/__init__`; entity ancestor-widening in graph + recall now applies to `workspace_id` symmetrically with `repo_id`; filtered + sqlite-vec searches cap their geometric widening with a single full scan. + +### Added +- Schema v3 logical graph layers (`temporal`, `entity`, `causal`, `semantic`), privacy-safe + SHA-256 receipt chains, optional LLM/host retention supervision, and a persistent code↔memory + bridge. +- Incremental multi-language repository indexing (Python, JS/TS, Go, Rust, Java, C#, C/C++, + SQL, Terraform), docstrings/comments, variables, inheritance/implementation, weighted + communities, hotspots, path queries, git/PR impact analysis, portable JSON/HTML/Markdown + exports, and a graph union merge driver. +- Local multi-format resource ingestion for text/code/HTML/DOCX, optional PDF/image OCR and + faster-whisper transcription, plus live PostgreSQL schema introspection with DSN redaction. +- Seven MCP tools for code paths/impact/export, PostgreSQL schema ingestion, and receipt + list/verify/export, bringing the tool surface from 20 to 27. +- `engraphis-graph` workflow CLI and token-protected `engraphis-graph-server` read-only HTTP + surface. + +### Changed +- Railway hosting now supports Pro solo single-admin deployments: any active Pro or Team + entitlement can bootstrap the first admin and activates the login wall, while member + seats and direct hosted agent writes remain Team-only. The hosting guide now covers both + Pro solo sync-relay and Team member flows. + +### Fixed +- 1-hop graph recall (and the PPR large-graph fallback) now honors `graph_layers`, matching + the PPR arm: `Store.neighbors()` gained a `layers` filter. +- `FolderTransport.push()` no longer follows peer-planted symlinks in the shared sync folder + (unpredictable temp name + `O_CREAT|O_EXCL|O_NOFOLLOW`), closing an arbitrary-file-write + vector that mirrored the already-hardened read side. +- `engraphis-graph-server` treats an empty `--host`/`ENGRAPHIS_GRAPH_HOST` as non-loopback + (it binds all interfaces), so the bearer-token requirement can no longer be skipped. +- Caller-supplied `metadata.retention_supervision` is stripped at the service boundary; only + the validated `retention_class` presets can influence importance/stability. +- `merge_workspaces()` no longer duplicates symbols/code edges when both workspaces indexed + the same file in a same-named repo: the losing snapshot's rows are cleared, and its + memory↔code links are re-pointed at the surviving same-fqname symbols. +- `engraphis-graph impact/prs` reject leading-dash git revisions (git option injection), and + graph exports refuse a symlinked output directory and are written atomically without + following pre-planted symlinks. +- The unified graph endpoint bounds entity edges and code edges/links per request + (`limit`-derived cap) so a large workspace graph or indexed repo can't produce unbounded + viewer-role responses. +- Relay sync fails closed when a workspace's settings are unreadable rather than treating a + possibly-personal folder as shared: in the sync CLI and in the dashboard/background + `_sync_all` path; resource extraction enforces its own raw-size cap. + +## [0.9.6] - 2026-07-16 + +### Added +- **Agent Connect for hosted Team instances.** Members can mint SHA-256-hashed per-user + bearer tokens in Settings and use the hosted v2 store through `POST /api/remember`, + the existing read routes, token management under `/api/auth/token*`, and + `GET /api/auth/connect-info`. Tokens retain the user's role and personal-folder scope; + viewers are read-only and disabling a user invalidates their tokens immediately. +- **Authenticated MCP-over-HTTP at `/mcp`.** When the MCP extra is installed, the + dashboard mounts the same 20 tools as the standalone server and injects its existing + `MemoryService`, avoiding a second SQLite writer. The endpoint requires an active Team + entitlement and per-user bearer token, enforces viewer/member/admin roles per tool, and + reports actual mount availability through connect-info. +- **One-click Railway hosting.** Added `railway.json`, the README deploy button, and + `docs/HOSTING_RAILWAY.md` for persistent volumes, forwarded HTTPS headers, Team + entitlement bootstrap, member invites, and HTTP/MCP agent connection. +- **Two new MCP context tools.** The MCP inventory grows from 18 to 20 with + `engraphis_answer`, a compatibility alias for the existing grounded-recall contract, + and `engraphis_proactive_context`, also available at `POST /api/proactive-context`. + Proactive packets include bounded task/agent state, cited memories, suggested queries, + and the previous session handoff. Optional LLM prose is accepted only when every claim + carries a valid citation. +- **Structured LLM ingestion and consolidation.** `ENGRAPHIS_EXTRACTOR=llm_structured` + validates typed facts, entities, relations, keywords, and confidence; that metadata is + preserved through storage and automatically feeds the graph. Settings now includes a + **Connect your LLM** card backed by `/api/llm/status` and `/api/llm/test`. + Consolidation adds schema-validated facts and explicit source supersession across the + service, REST, MCP, and CLI surfaces, with deterministic fallback on provider/schema + failure. +- **Opt-in deterministic memory intelligence APIs.** Added conflict triage for duplicate, + refinement, contradiction, and obsolete candidates, plus a serializable `UserModel` + that learns interaction preferences and reranks recall results. These helpers do not + mutate the store or alter default recall unless a caller invokes them. + +### Changed +- **Team mode is opt-out by default.** `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) disables + Team plumbing. A fresh solo install stays open, first-admin setup requires a live Team + entitlement, and an existing team's authentication wall remains active if its license + lapses so private data never becomes public. +- Pre-login license status and trial routes now allow a fresh instance to start a Team + trial before first-admin setup. Purchased keys bootstrap through + `ENGRAPHIS_LICENSE_KEY` or the license file; `/api/license/activate` remains admin-only. +- Package fallback metadata and all user-facing tool inventories now agree on version + `0.9.6` and 20 MCP tools. + +### Fixed +- **Agent Connect and dashboard lifecycle:** corrected generated endpoint URLs, retained + one-time token visibility, made `/mcp` bearer-only, bound MCP sessions to their initiating + user, rechecked tool roles on every call, retained DNS-rebinding protection, closed + previously injected stores, and made connect-info reflect the real optional MCP mount. +- **License and Team enforcement:** authoritative revocations override cached entitlement + and persist tombstones for previously unrecorded keys; transient failures may use only + an unexpired lease; public license/trial bootstrap routes close after the first Team user; + trial rate limits trust forwarded addresses only from configured proxies; managed + requests use explicit client headers; retired managed relay URLs are canonicalized + across key issuance, license/trial, invite, and sync clients; and configured keys + that fall back to free after transient outages retry automatically. +- **Python and packaging compatibility:** rate-limit buckets and audit exports use + timezone-aware UTC APIs, package metadata uses the SPDX license format, and the + deterministic fallback matches the default embedding model’s 384 dimensions. +- **Memory and retrieval integrity:** audit writes are committed durably, recall excludes + non-live rows, mixed embedding dimensions no longer crash recall and have a backed-up + repair path, sync enforces workspace/repository boundaries in both directions, graph + provenance is pruned per memory instead of deleting shared edges, SQLite-vector distances + are converted to cosine similarity, entity expansion matches complete names, and the + sentence-transformers adapters support both legacy and renamed dimension APIs. +- **Structured-data safety:** extraction metadata survives ingest unchanged, proactive and + consolidation inputs are bounded, structured consolidation rejects source IDs outside + the requested cluster, and synthesized context cannot replace deterministic output + without valid citations. +- **Dashboard graph navigation:** focusing an isolated node now retains the requested node + through the delayed renderer retry instead of reporting a false “Entity not in view.” +- **Dashboard typography:** replaced sub-12px text and the flat type ramp with a consistent + 12/16/24/32px hierarchy while preserving responsive layout. + +### Documentation +- Updated the README, Agent Connect, Railway, Kilo Code, bundled memory skill, benchmark + command, and package-version fallback to match the shipped routes, tool count, setup + order, and extractor/consolidation options; removed the unused shortcut icon helper. + +## [0.9.5] - 2026-07-14 + +### Changed +- **Team mode is now ON by default (opt-out).** `ENGRAPHIS_TEAM_MODE` defaults to on; + set `ENGRAPHIS_TEAM_MODE=0` (or false/no/off) to disable. The per-user login wall is + no longer raised just because the mode flag is on. It now requires a *live* `team` + feature entitlement (`licensing.has_feature("team")`), checked at request time in + `dashboard_app.py` and reflected in `/api/auth/state`. Solo / no-license installs stay + fully open, and the wall appears the moment a team license key is added, even via the + dashboard UI at runtime. A `team` license is still required to *add seats* beyond the + first admin (bootstrap admin is created unconditionally). Docs (`.env.example`, + `AGENTS.md`, `README.md`, `SECURITY.md`, `scripts/init.py`) and team-mode test fixtures + updated. +- **Team-invite email rewritten to separate "join" from "activate a key".** The old + invite conflated the two, so members pasted the shared team key into the hosted/Railway + dashboard, saw it "work" (it just re-activated a license already active there), and + thought they'd joined, when joining means signing in with email + password. The email + now frames two distinct options: **Option 1** (required to join) sign in to the team + dashboard with email + the admin-set password, with explicitly *no license key needed here, + don't paste one*; **Option 2** (optional) run Engraphis on your own machine and access + the team's memories locally; that is what the shared team key is for (LOCAL + `http://127.0.0.1:8700` → Settings → License, then Settings → Cloud Sync to pull the + converged team store down to a local offline copy). Invites now always carry a + clickable sign-in link: `dashboard_url` resolves explicit arg → `ENGRAPHIS_DASHBOARD_URL` + → `DEFAULT_TEAM_DASHBOARD_URL` (`https://team.engraphis.com/`). A footer with the + canonical site + repo links is added as env-overridable module constants + (`SITE_URL`/`REPO_URL`) so the URLs can't drift per-email. `tests/test_billing.py`. + +### Fixed +- **Intermittent `database is locked` from `set_service`.** `routes/v2_api.set_service` + swapped the global `MemoryService` without closing the previously-bound service's store + connection, so under heavy test churn a deferred-GC close of the old SQLite/WAL handle + collided with the next `MemoryService.create` on the same path. The prior store is now + closed on swap (best-effort, never blocks the swap on a close error). + +### Docs +- **README now documents three previously-undocumented shipped features** (the features + themselves shipped in 0.9.3): sub-file chunking (`ENGRAPHIS_EXTRACTOR=chunk` + the + `eval.chunking_eval` whole-file-vs-chunked harness), auto-dreaming (the background + cross-cluster-inference loop, accumulation + idle trigger, `dream_inference` + provenance/auditability), and every automation dream knob exposed via the dashboard + Automation tab and the `GET/POST /automation` + `POST /maintenance/run` API. Also: a + **Team early-access beta** callout (top + feature/pricing tables + Free-vs-Pro section) + and a **daily-update reminder for maintainers** near the top (code wins; fix the doc in + the same change). + +### Chore +- `.gitignore` now excludes `automation.json` / `autosync.json` (regenerable local + runtime state from `engraphis/automation.py`, not source content). + +## [0.9.4] - 2026-07-14 + +### Fixed +- **The dashboard (`engraphis-dashboard` / `http://127.0.0.1:8700`) would not start.** + `scripts/start_dashboard.py` runs uvicorn against `engraphis.dashboard_app:app`, but + `dashboard_app.py` only defined the `create_app()` factory and never built a module-level + `app` instance, so uvicorn aborted with `Attribute "app" not found` and nothing bound + port 8700. The missing `app = create_app()` (present in `engraphis/app.py` and + `engraphis/redirector.py`, but dropped from `dashboard_app.py`) is now restored. The + background autosync/dreaming/revalidation loops inside `create_app()` are pytest-guarded, + so importing the module under test is side-effect-free. +- **Flaky `database is locked` dashboard test.** + `test_consolidate_inference_pass_is_pro_gated` opened two FastAPI `TestClient` lifespans + back-to-back on the same temp DB file; the first app's still-open SQLite connection + blocked the second's schema init. Split into two one-client test functions, matching + the convention already documented above `test_analytics_and_export_*` (two TestClients + in one test reproducibly deadlock). Full suite now green (693 passed, 3 skipped). + +## [0.9.3] - 2026-07-14 + +### Added +- **Email-verified self-serve trial + abuse protections on the trial endpoint.** + Starting a trial now requires a verified email and sends a one-time confirmation link + before any license is issued; the request path is rate-limited so the endpoint can't be + used to spam or farm trials. This raises the bar significantly above the previous + device-only gate while keeping the same paste-a-key activation flow on the dashboard. + `tests/test_cloud_license.py`, `tests/test_dashboard_v2.py`, + `tests/test_online_only_enforcement.py`. +- **Deterministic, offline sub-file chunking on the write path (`ENGRAPHIS_EXTRACTOR=chunk`).** + A third `Extractor` alongside passthrough/LLM: `ChunkingExtractor` splits a document into + retrieval-sized `ExtractedFact` chunks that preserve meaning: markdown headings start new + chunks and become the title, fenced code blocks stay intact, prose is packed to a token + budget (`ENGRAPHIS_CHUNK_TOKENS`, default 256) with a sentence-level overlap + (`ENGRAPHIS_CHUNK_OVERLAP`, default 32); a hard per-document cap + (`ENGRAPHIS_CHUNK_MAX`, default 200) bounds amplification. numpy/stdlib only, so it runs + under the offline gate and is byte-identical across runs. This gives long, multi-topic + documents finer retrieval units instead of one diluted memory; the bundled evaluation below + preserves Recall@5 while reducing retrieved context. New: `ChunkingExtractor` in + `backends/extractor.py`; `tests/test_chunking_extractor.py`. +- **File/folder imports chunk too.** With `ENGRAPHIS_EXTRACTOR=chunk`, + `import_folder`/`import_files` split each file into several retrieval-sized memories + (each still `trusted:false`, stamped with `metadata.chunk={index,of,heading}`) instead of + one; the LLM extractor is deliberately never applied to the local import path (no external + calls on untrusted disk files). A file still counts as one imported unit. + `tests/test_import_chunking.py`. +- **Chunking eval + `longdoc` dataset.** `eval/chunking_eval.py` + + `eval/datasets/longdoc.jsonl` compare whole-file vs chunked ingestion through the real + recall pipeline. On the offline embedder: identical recall@5 (1.000) at **~73% fewer + context tokens** (809 → 219) and ~4× smaller tokens-to-evidence (162 → 42); the "quality per token" + number `BENCHMARKS.md` calls for. `tests/test_chunking_eval.py`. +- **"Dreaming" trigger for automated maintenance.** `automation.should_dream` / `dream_due` + run a consolidation sweep *before* the cadence when enough new episodic memories have + accumulated **and** the store has gone quiet (`dream_min_new` / `dream_idle_minutes` policy + knobs); wired into `scripts/auto_maintain.py`. Purely additive to the existing cadence, so + cron behaviour is unchanged; still Pro-gated. `tests/test_dreaming_trigger.py`. +- **Associative cross-cluster inference (dream pass 4).** `consolidate.infer_links` / + `consolidate(infer=True)` proposes evidence-only links between memories in *different, + dissimilar* subject clusters that share a bridging entity: the "connect distant dots" step + same-subject distillation never reaches. **Off by default** (`infer=False`); the pass + follows the sweep's own `dry_run` flag, so a dry-run proposes into the report and a real + run applies. Applied inferences are low-salience (`importance=0.25`), `trusted:false`, + `source='dream_inference'`, linked to their sources and audited, so a bad inference is + visible, downweighted, and never merge-eligible into a trusted fact. Fan-out capped, + idempotent. Entity matching is now word-boundary (so `Redis` won't fire on + `rediscovered`) and the per-sweep text scan is computed once, not per entity. + `tests/test_inference.py`. +- **Inference is reachable from the maintenance path.** A new `infer` policy knob (off + by default) runs the inference pass inside `run_maintenance`, whether manual or from the dream loop, + following the sweep's `dry_run`. `/api/consolidate` takes `infer` (`false` by default); + `/api/automation` round-trips `infer`; the dashboard Automation tab has an Inference + toggle. `tests/test_dashboard_v2.py` (policy round-trip + `/maintenance/run` proposes the + Redis bridge), `tests/test_dashboard_dream_ui.py`. +- **Dreaming runs without cron.** A dashboard background loop (`_maybe_start_dreaming`, + mirroring auto-sync) runs a maintenance sweep whenever `automation.dream_due` fires. It is opt-in, + Pro-gated, fault-isolated, with an `ENGRAPHIS_DREAM_LOOP=0` kill switch. The `/api/automation` + policy round-trips the `dream` / `dream_min_new` / `dream_idle_minutes` knobs, and the + dashboard's Automation tab surfaces them as form controls (toggle + thresholds). The + trigger now scopes its accumulation/idle count to the policy's `workspaces` (a burst in + an out-of-scope workspace no longer fires a sweep). `tests/test_dreaming_trigger.py`, + `tests/test_dashboard_dream_ui.py`, `tests/test_dashboard_v2.py`. + +### Fixed +- **First-run team-mode bootstrap hardened.** The admin-creation path no longer depends + on an external relay round-trip succeeding to provision the first seat, and concurrent + first-admin requests are serialized so only one unlicensed bootstrap admin can ever be + created. Subsequent seat additions still require an active Team license. +- **First-run team-mode bootstrap fixed (frontend).** The admin-account screen now triggers + the trial/activation step before provisioning the first admin, so a fresh self-hosted + instance no longer deadlocks on the team-feature gate with no way to proceed. + No backend change; frontend-only. +- `MemoryService.create` now defaults `extractor` from `settings.extractor` + (`ENGRAPHIS_EXTRACTOR`) when unset, mirroring the existing `graph_extractor` fallback so + the dashboard and automated-maintenance front ends honor the config knob, not just the MCP + server and CLI. An explicit `extractor="none"` still overrides the environment. + +### Security +- **Closed a Pro-feature bypass on the manual consolidate endpoint.** The inference pass + (a paid capability) was reachable through the free housekeeping endpoint without a + license; it is now gated at the route and reinforced inside the service layer, so no + caller can reach the Pro-only path without a server-approved license. The free manual + consolidate action is unchanged. `tests/test_dashboard_v2.py`, `tests/test_inference.py`. +- **Strengthened license enforcement and revocation handling.** Reaffirmed that every paid + surface requires a live, server-validated lease and fails closed when the server is + unreachable; tightened the verification so licenses can't be forged client-side, and + serverside-issued seats can't be minted without a valid license. Revoked or refunded keys + are now re-confirmed against the server on a background interval so they degrade promptly + rather than remaining usable until lease expiry, while legitimate offline customers are + never stalled. `tests/test_online_only_enforcement.py`, `tests/test_cloud_license.py`. + +## [0.9.2] - 2026-07-13 + +### Added +- **Personal vs. shared folders + a redesigned Team dashboard.** A folder can now be + created `visibility='personal'` (owned by, and visible/usable only to, the creating + dashboard user) or `shared` (the whole team, the previous, still-default behaviour). + Enforcement runs through a single workspace-authorization chokepoint, so every scoped + read/write inherits it and a non-owner cannot access another user's personal folder. + Personal folders are excluded from relay sync so they stay on-device. The **Team + dashboard** gains a team overview (seat usage + activity), a Folders panel that creates + and manages shared/personal folders (folder creation now lives here: the Workspaces + tab is selection-only in team mode), members with last-active, and a team audit log with + CSV export. New/updated: `service.py`, `routes/v2_api.py`, `dashboard_app.py`, + `static/index.html`; tests in `tests/test_personal_folders.py`, + `tests/test_dashboard_v2.py`, `tests/test_sync_dashboard.py`. + +### Changed +- README expanded with the missing features (cloud sync, encryption, import/ingest, + workspace ops, Docker, config, and more) and now links to the Engraphis Discord. + +## [0.9.0] - 2026-07-13 + +### Added +- **Automatic v1→v2 database migration on startup**: a pre-existing v1-shaped + `engraphis.db` (no `workspace_id` column) is backed up and migrated to the v2 + schema, so existing installs upgrade cleanly without manual SQL. + +### Fixed +- **Dockerfile default entrypoint** is now `engraphis-dashboard --no-open` (was the v1 + single-user `engraphis-server`), so a fresh container serves a working team dashboard + with auth/license/trial routes instead of a permanently signed-out UI. + `engraphis-server` remains available as an explicit override for single-user + deployments. +- **CI**: ruff lint errors and core-floor (numpy-only) test collection. + fastapi-dependent tests now skip cleanly on the minimal core floor. `loads_strict` + now rejects pathologically deep JSON on every Python version (3.12's JSON scanner + no longer raises RecursionError for ~1000-deep input, which had broken the + deep-nesting parsing guard and its test on 3.12). + +## [0.8.8] - 2026-07-13 + +### Security +- Hardened license validation and trial consumption tracking +- Improved offline trial tamper resistance + +## [0.8.7] - 2026-07-12 + +### Added +- **Dashboard "Import files & folders"** restored on v2 engine +- **Kilo Code integration docs** (`docs/KILO_CODE_INTEGRATION.md`) + +### Fixed +- Dashboard auth: session handling, role badges, member management +- License cloud enforcement: lease validation, online-only gating +- Service layer: workspace operations, memory reorder, merge + +## [0.8.6] - 2026-07-12 + +### Added +- Dashboard "Import files & folders" section restored on v2 engine + (`engraphis/service.py`, `routes/v2_api.py`, `static/index.html`, Workspaces tab) +- Server-side path import and drag-and-drop upload, both member-gated and bounded +- Imported memories marked untrusted by default; 21 new tests + +### Security +- Hardened folder import against path-traversal and containment bypasses + +## [0.8.5] - 2026-07-12 + +### Fixed +- Logout no longer re-triggers sign-in modal loop +- Team bootstrap: trial/license endpoints now accessible before first admin exists +- Expired/revoked Team license no longer locks out all logins +- Trial start now idempotent (no 400 on repeated calls mid-trial) +- Team trial grants 5 seats (was 1), enabling actual team evaluation +- Dashboard handles empty workspaces gracefully +- Static assets (dashboard HTML, vendor JS) now ship correctly in wheel + +## [0.8.4] - 2026-07-12 + +### Security +- Paid features now require a live, server-issued license lease +- Offline handling degrades gracefully with bounded grace when the server is unreachable +- Local/offline trial grants removed; trials are server-issued and tracked per device +- Issued keys are server-enforced by default + +## [0.8.3] - 2026-07-12 + +### Fixed +- Empty workspace `/api/memories` returns `[]` instead of 500 +- Online-only license enforcement: cloud-mode keys validated per request + +## [0.8.2] - 2026-07-12 + +### Fixed +- Static package discovery: `engraphis/static/__init__.py` added +- Vendor glob: recursive pattern so `static/vendor/` bundles ship in wheel +- Dashboard 500 on `GET /`: `static/index.html` was missing from wheel (packaging bug) +- Dashboard 500 on fresh install: `GET /api/memories` crashed on empty workspace + +--- + +## Earlier versions (condensed) + +### Versions 0.5.x to 0.7.x +- MCP server with 18 tools +- Memory Inspector product UI (`engraphis-inspector`, port 8710) +- Dashboard rebuilt on v2 engine with recall, governance, consolidate, analytics +- Team mode: login auth, viewer/member/admin roles, seat limits +- Grounded recall with cited answers and abstain gate +- Sleep-time consolidation with compaction accounting +- Personalized PageRank graph arm (HippoRAG-style) +- Offline signed license keys (no phone-home) +- Pro analytics dashboard +- Code-symbol graph via tree-sitter or regex fallback +- Docker + docker-compose deployment +- 300+ tests, eval harness, ablation suite + +### [0.1.0] - 2026-07-09 +- Initial public release: local-first AI memory engine for agents +- Ebbinghaus decay, interaction-aware recall, bi-temporal facts +- Background consolidation; you bring the LLM + +--- + +**Security reporting:** Email **security@engraphis.dev** for vulnerability disclosure. diff --git a/README.md b/README.md index 9372e5e6..09b04cdd 100644 --- a/README.md +++ b/README.md @@ -1,928 +1,928 @@ -# Engraphis - -[![PyPI version](https://img.shields.io/pypi/v/engraphis.svg)](https://pypi.org/project/engraphis/) -[![License](https://img.shields.io/badge/license-Apache--2.0-green.svg)](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) -[![Support](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-support-yellow?logo=buy-me-a-coffee)](https://buymeacoffee.com/Jaixii) - -[https://engraphis.com/](https://engraphis.com/) - -[https://discord.com/invite/Wfr2ejBmY](https://discord.com/invite/Wfr2ejBmY) - -**Give your AI agents a memory. See it, search it, and maintain it, all in a beautiful WebUI on your own machine.** - -

    - Engraphis Knowledge Graph tab: force-directed entity-relation network -
    - Knowledge Graph · run engraphis-dashboard to see it live -

    - -**Grounded, not guessed.** Memory with receipts. Local by default. - ---- - -> **Open-core boundary:** this repository contains the free local engine, dashboard, MCP server, -> and customer-side clients. Hosted sync, analytics, automation, and team services run on the -> official hosted service; their server implementations are not distributed here. - -> **Support continued Engraphis development with Pro.** [Start a 3-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) -> or [subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing). - ---- - -## Measured token and context savings - -### Runtime estimator - -The dashboard Overview and Audit/Receipts views also show a receipt-backed estimate from -real context deliveries. It compares the host history or retrieved source baseline with the -context Engraphis actually emitted, keeps token counters and release versions separate, and -labels adaptive history reductions separately from packing savings. Receipts without estimator -metadata remain historical/unclassified. This measures estimated prompt-context reduction; it -does not measure provider billing. The `/context-savings` API and -`engraphis_context_savings` MCP tool aggregate the complete history across all visible workspaces -by default, or accept an explicit workspace plus optional `from_ts`, `to_ts`, and -`release_version` filters. - -

    - Dark chart of registered deterministic fixtures. Structure-aware chunks reduce retrieved context from 740.3 to 214.3 tokens and the smallest evidence-holding memory from 162.2 to 42.4 tokens. A compact JSON-shape proxy uses 11,138 rather than 24,590 tokens. Retrieved-candidate quality is labeled separately from packed-context quality, both measured in the selected report with packed-quality fields. Actual MCP transport and provider billing are not measured. -
    - Less repeated history means more room for the task, tools, and useful evidence. -

    - -
    -See benchmark details and reproduce the results - -### Controlled before-and-after example - -| Retrieval mode | Mean returned memory content | Recall@5 | -|---|---:|---:| -| Whole documents | 740.3 tokens | 1.000 | -| Engraphis structure-aware chunks | 214.3 tokens | 1.000 | - -The chunked mode returns the relevant passage instead of the whole document: **526.0 fewer tokens -per question**. Under the same model-context budget, that leaves roughly **526 tokens** for task -instructions or other relevant evidence. This is evidence ID `offline-chunking` in the registered -artifact below. - -### Measurement details and reproducibility - -The table below contains every exact token/context aggregate currently published here and keeps -its counting boundary explicit. - -| What is counted | Comparison | Measured reduction | Quality held constant | -|---|---|---|---| -| Retrieved top-5 memory content, averaged per question | Whole documents: **740.3** tokens → structure-aware chunks: **214.3** tokens | **526.0 fewer tokens per question** (**71.1% lower**, about **3.5× smaller**) | Recall@5 **1.000** in both modes across 6 documents and 18 questions | -| Smallest returned memory that contains the reference evidence | Whole documents: **162.2** tokens → chunks: **42.4** tokens | **119.8 fewer tokens to evidence** (**73.9% lower**, about **3.8× smaller**) | The same 18 questions had a returned evidence-holding memory in both modes | -| Full versus compact recall payload proxy across one 26-question pass within a 260-timed-recall CodeMem run | Full proxy: **24,590** `engraphis.regex.v1` tokens → compact proxy: **11,138** tokens | **13,452 proxy tokens avoided** (**54.71% lower**) | 26 payload samples; 260 timed recalls; Recall@5, hit@5, and answer-token recall all **1.000** | -| Packed prompt-context usage in the same 26-question CodeMem sample pass | Hard budget: **1,500** tokens; observed mean: **85.38**; observed maximum: **108** | A hard cap prevents a recall from exceeding its configured context budget | This is usage accounting, not a before/after savings comparison | - -The performance report keeps its legacy `quality` fields for all candidate chunks returned before -context packing and adds `packed_quality` for evidence admitted to the reader context. The checked-in -v19 artifact includes both quality views, with Recall@5, hit@5 and answer-token evidence coverage -of 1.000 for the 26-question fixture in each view. Both views measure retrieved evidence; -neither is an end-to-end question-answer score. Coding outcomes, external datasets, and staged -operational capacity remain separate pending evaluation tracks until their artifacts are selected. - -These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v102.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v102.json), -SHA-256 -`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`. -[`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) -records the matching suite digest, exact commands, and per-command config digests. The offline -fixture registry intentionally excludes external, model-dependent, consolidation, productivity, -and latency results. Completed retrieval-only diagnostics are published separately in the -[benchmark expansion results](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/BENCHMARK_EXPANSION_RESULTS.md) with redacted immutable -artifacts; no generated-answer, official leaderboard, hosted-latency, or paid result is claimed -here. - -The compact payload shape avoids duplicating full memory bodies when the packed context and source -list are enough. The evaluator tokenizes JSON-shaped full and compact payload proxies built from -recall results; it does **not** serialize the MCP envelope or measure a transport response. The -fixture therefore does not measure model-provider charges, end-to-end task time, or customer cost -savings. - -The measures are deliberately separate and **must not be added together**: chunking counts the -content of retrieved memory records before `ContextPacker`, whereas compact recall counts a -serialized JSON-shape payload proxy. “Tokens to evidence” is the size of the smallest -retrieved memory record holding the reference evidence; it is not latency or end-to-end answer -accuracy. Chunking creates more focused stored records, so this is a context-efficiency result, -not a storage-reduction claim. - -Reproduce the registered quality and token/context measurements without a network connection or -API key: - -```bash -python -m eval.grounded -python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5 -python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json -``` - -These are small deterministic correctness and efficiency fixtures, not official LoCoMo / -LongMemEval QA scores or a third-party leaderboard result. Compact-response counts use the exact -`engraphis.regex.v1` counter; the chunking evaluation uses its documented deterministic -normalized-character estimator. Chunking measures retrieved memory content, while compact recall -measures a serialized JSON-shape payload proxy, not an MCP transport response. See the registered -artifact and [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) -for definitions, limitations, and canonical external-evaluation requirements. - -
    - ---- - -## Full Engraphis install: pip install "engraphis[all]" - -The complete `engraphis[all]` install is the default way to use Engraphis: it includes the local -dashboard, Smart MCP server, documents, Cloud Sync client, and supported optional integrations. -Python 3.10+ is required. - -```bash -pip install "engraphis[all]" -engraphis-dashboard -``` - -The dashboard opens at [http://127.0.0.1:8700](http://127.0.0.1:8700). Local memory needs no -account or API key. - -### Smaller installation options - -Use a smaller package only when you intentionally need a limited surface. The NumPy-only core -continues to support Python 3.9+. - -| Goal | Install | Start | -|---|---|---| -| Local dashboard and REST API | `pip install "engraphis[server]"` | `engraphis-dashboard` | -| Coding-agent memory over Smart MCP | `pip install "engraphis[mcp]"` | `codex mcp add engraphis -- engraphis-mcp` | -| Native SQLite vector acceleration | `pip install "engraphis[vector]"` | Server entrypoints select it automatically | -| Offline Python library | `pip install engraphis` | `MemoryService.create("engraphis.db")` | - -For MCP clients other than Codex, configure a stdio server whose command is `engraphis-mcp`; see -the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md). - -### Updating - -Use `engraphis-update` to upgrade the installation using its detected install method. Package -metadata does not record which extras were selected, so the updater defaults to the safe -superset `engraphis[all]` rather than silently dropping an optional surface. For a deliberate -selection, set `ENGRAPHIS_UPDATE_EXTRAS` to a comma-separated list (for example -`server,mcp`), or set it to `none` for the base package only. - -> **Upgrading to 1.4:** `engraphis-mcp` now exposes the nine-tool Smart gateway. Integrations that -> require the former 35 direct tool names should run `engraphis-mcp-classic`. The SQLite schema -> in the 1.4.0 release was version 9. Existing v7-to-v8 databases already contain `confidence` -> and `pinned_at`/`unpinned_at`; v9 adds the `memory_tombstones` repository-scope column/table -> and performs a one-time entity-canonicalization repair, then migrates automatically on first -> open. A tombstone with a known `repo_id` is terminal only in that repository; legacy repo-less -> tombstones remain global. See the [1.4.0 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#140---2026-08-02). - -> **Upgrading to 1.5:** schema 10 bounds legacy retention state and schema 11 backfills explicit -> approval only for eligible pre-review local memories. Pending and quarantined evidence remains -> gated. Existing 1.4.x databases migrate automatically when Engraphis 1.5 opens them; see the -> [1.5 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#15---2026-08-04). - -> **Upgrading to 1.6:** existing 1.5 databases migrate automatically through schema 12, which -> classifies content-free erasure markers before sync: existing markers become local-only -> `never_export`, while new secure erasures become `remote_erasure` only for non-secret -> `workspace`/`repo` records already eligible for sharing. Schema 13 adds per-memory hybrid -> logical clocks for deterministic descriptive-state sync and durable, content-free proof that a -> memory crossed a sync boundary. Schema 14 adds the Obsidian collection and import manifests; -> schema 15 generalizes them to source-neutral local documents, preserves temporal source lineage -> across re-imports, binds adapters and target scopes, and retains only bounded, content-free -> per-job format/result metadata. The schema 16 migration persists each import job's optional session target -> and requires source lineage and job-item attachments to remain in that exact session. See the -> [1.6 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#16---2026-08-15). - ---- - -## What Engraphis gives an agent - -An agent should not have to reconstruct a project from scattered chat history on every task. -Engraphis turns local project knowledge into scoped, time-aware memory; retrieves the evidence -that supports the current question; and returns a bounded, attributable context packet. - -The core task is continuity: retrieve the current, supported project decision without dragging the -whole history into the next prompt. See [measured token and context savings](#measured-token-and-context-savings) -for the short version of how much less history an agent has to carry. - -| Agent need | What Engraphis changes | -|---|---| -| Remember a project across sessions | Stores typed memory in a `workspace → repo → session` hierarchy and provides a last-session handoff. | -| Find support for the current task | Fuses vector, lexical, graph, and code-aware retrieval instead of relying on one search signal; `fast` can skip graph traversal for small or latency-sensitive vaults. | -| Know what is true now and what changed | Preserves bi-temporal history and supersession chains instead of silently overwriting a fact. | -| Avoid confident guesses | Returns cited evidence or explicitly abstains when support is too weak. | -| Avoid dragging the whole project into every prompt | Packs context to a configured hard budget and can return a compact MCP response. | -| Keep knowledge in the operator's control | Runs local-first and offline-capable, with scopes, audit records, and optional privacy-safe receipts. | - -## Dashboard and local UI - -The Engraphis dashboard opens `http://127.0.0.1:8700`. Local memory needs no cloud account, -signup, or API key and stays in a SQLite file on your machine. - -**Ledger** is the primary local interface for recall, memories, graph exploration, provenance, -workspaces, and manual consolidation. **Classic** preserves the former full tool suite; both use -the same local data. Switch in **Manage → Settings → Interface** (Ledger) or **Settings → -Appearance & Engine** (Classic). - -### Start it on every platform - -| Platform | How | -|----------|-----| -| **Windows** | Double-click **Engraphis Dashboard** on your Desktop or Start Menu (install: `engraphis-dashboard --install-shortcuts`) | -| **macOS** | Double-click **Engraphis Dashboard.app** on your Desktop (install: same command) | -| **Linux** | Desktop entry in Applications → Development (GNOME/KDE/etc.) | -| **Docker** | `docker compose up`: see `docker-compose.yml` for the one-command deployment | -| **Any** | `engraphis-dashboard` in a terminal | - -In a source checkout, `scripts/launch_dashboard.ps1` is only a Windows convenience wrapper. It -delegates configuration, startup health, browser opening, and process lifecycle to the same -`engraphis-dashboard` entrypoint rather than maintaining a second behavior path. - -### Accessibility-first inspection, built in - -Inspect memories, supersession diffs, recall scores, timelines, links, consolidation, and audit -records in the dashboard. The offline graph renderer is vendored, and the interface is keyboard- -navigable with light and dark themes. Graph exploration offers a focused **High quality** view and -an explicit worker-backed **Every node** view for complete entity projections up to 20,000 -nodes and 200,000 relationships; see the [graph performance profiles](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/GRAPH_PERFORMANCE.md). - ---- - -## How it works - -Engraphis gives agents durable, scoped, *explainable* project knowledge. The local engine combines -Ebbinghaus decay, bi-temporal facts, and hybrid vector/lexical/graph recall; it runs offline with -SQLite, local embeddings, and `numpy` only. - -- **Grounded and governed:** deterministic conflict resolution, cited answers or abstention, - explicit correction/promotion/forgetting, and a complete history. -- **Agent-ready:** MCP tools, hard-budget context packets, handoffs, and code-aware retrieval. -- **Auditable:** content-free receipt chains, provenance, and temporal/entity/code relationships. -- **Practical:** local file and code ingest, optional PDF/OCR/transcription, and SQLCipher at rest. - -### Optional LLM providers - -The memory engine, embeddings, conflict resolution, and recall stay local without an LLM. An -explicitly configured provider adds structured extraction, cited synthesis, consolidation, and -retention supervision. Configure it in **Settings → Connect an LLM**. The activity view records -outcomes, never keys, prompts, or raw provider responses. See the -[LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md) for setup and privacy choices. - -> Privacy boundary: text sent to an explicitly selected provider leaves the local process under -> that provider's terms. Use `ENGRAPHIS_RETENTION_SUPERVISOR=none` (the default) and the offline -> `chunk` extractor when ingestion must remain entirely local. - -Choose and configure an external LLM with the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md), -including OpenAI, Anthropic, Google, OpenRouter, Ollama, Cohere Command, Command Code Provider, -and other compatible endpoints. The guide also covers Codex subscription MCP connections. - ---- - -## Install - -```bash -pip install "engraphis[all]" # self-hosted dashboard, MCP, code graph, documents, transcription, PostgreSQL, and Cloud Sync -pip install "engraphis[server]" # dashboard + REST API -pip install "engraphis[mcp]" # MCP server only -pip install "engraphis[documents]" # PDF + image OCR bindings -pip install "engraphis[transcription]" # faster-whisper audio/video -pip install "engraphis[postgres]" # PostgreSQL schema introspection -pip install "engraphis[code]" # tree-sitter code graph indexing -pip install "engraphis[vector]" # native sqlite-vec exact-KNN acceleration -pip install "engraphis[cloud-sync]" # Cloud Sync client crypto/runtime -pip install "engraphis[encryption]" # SQLCipher encryption-at-rest extra -pip install engraphis # core library: numpy only, fully offline -``` - -The official Docker image includes the local Tesseract executable for image OCR. Outside -Docker, the `documents` extra installs its Python bindings; install Tesseract through your -operating system as well if you enable image OCR. - -The NumPy-only core library supports Python 3.9+. Current patched releases of the WebUI -stack, MCP SDK, image parser, and Cloud Sync client require Python 3.10+, so use Python 3.10 -or newer for the `server`, `mcp`, `documents`, `cloud-sync`, or `all` installation paths. - -The default `NumpyVectorIndex` performs an exact full scan. There is no universal memory-count -cutoff because latency depends on vector size, hardware, filters, and the rest of the recall -pipeline. Measure your machine with `python -m eval.vector_scale --backend numpy`, then run -`python -m eval.performance` on a representative corpus. If exact scans miss your latency target, -install `engraphis[vector]`, create the engine with `vector_backend="sqlite-vec"`, and remeasure. -The stable sqlite-vec `vec0` backend executes exact KNN in native code; it is acceleration, not a -claim of sublinear ANN scaling. See [BENCHMARKS.md](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) for the reproducible commands -and reporting limits. - -Dashboard, REST, and MCP entrypoints default to `ENGRAPHIS_VECTOR_BACKEND=auto`: they use -sqlite-vec when the `vector` extra is installed and compatible, then safely fall back to NumPy. -Programmatic `MemoryEngine.create()` and `MemoryService.create()` retain the deterministic -`numpy` default unless a backend is requested explicitly. -Use `python -m eval.vector_scale --backend sqlite-vec` for an input-identical direct-search -comparison; setup/index-build time is explicitly excluded from the timed search envelope. - -Persistent vectors fail closed unless the embedder can publish a durable, secret-free space -fingerprint. Sentence Transformers use the loaded Hub commit or a manifest of local artifacts; -when a remote model's immutable identity cannot be resolved, persistent vector recall remains -gated instead of mixing spaces. For programmatic OpenAI-compatible embeddings, construct -`ApiEmbedder` with an operator/provider `space_version`; without it the adapter remains usable for -ephemeral embedding only. Its `base_url` may be a provider root or a `/v1` root and is normalized -to exactly one `/v1/embeddings` endpoint. - -`sqlcipher3-binary` publishes CPython manylinux x86-64 wheels. On that target, -`engraphis[encryption]` installs the driver. The cross-platform `all` extra deliberately -omits it so `all` remains resolvable on macOS, Windows, Linux ARM, and musl; on those -targets, provision a compatible SQLCipher driver separately before enabling a database -key. The programmatic core remains plaintext unless a database key is configured. For a -fresh database, `engraphis-init` enables SQLCipher automatically when a compatible driver is -available, creates a private key sidecar, and can be overridden with `--no-encryption`. - -> **Linux / macOS:** if `pip install` fails with `error: externally-managed-environment`, -> your system Python is marked read-only (PEP 668). Install into a virtual environment -> instead. Run `python3 -m venv venv && source venv/bin/activate && pip install "engraphis[server]"` -> Alternatively, use Docker (`docker compose up`). `pipx install "engraphis[server]"` also works. - -> First run downloads `all-MiniLM-L6-v2` (~80 MB). Without it, the engine falls back -> to deterministic feature hashing so it always runs offline. That fallback captures lexical -> overlap, not meaning: recall and grounded MCP responses set `degraded_mode=true` and -> `semantic_support=false`, and disable vector retrieval plus semantic-cosine evidence. Install -> a declared embedding model for semantic retrieval. - -> To require a model that is already local, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` -> or `local:`. This path never downloads a model. If it is unavailable, Engraphis -> explicitly enters lexical degraded mode instead of presenting hash-vector scores as semantic. - ---- - -## Quickstart: dashboard - -```bash -pip install "engraphis[server]" -engraphis-dashboard # → http://127.0.0.1:8700 -engraphis-dashboard --install-shortcuts # → Desktop + Start Menu icons -``` - -> **Offline first run:** the first launch downloads the `all-MiniLM-L6-v2` embedding model -> (~80 MB), then runs fully offline. To stay offline-only, set -> `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never downloads; unknown local models -> enter lexical degraded mode instead of faking semantic scores). Extraction defaults to -> `ENGRAPHIS_EXTRACTOR=none` (verbatim writes), the vector backend defaults to `auto` (native -> acceleration when installed, otherwise NumPy), and recall without a usable semantic space -> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to -> verify the install, extras, and database writability. - -### Docker - -```bash -docker compose up # → http://127.0.0.1:8700 -``` - -For Docker Compose persistence and loopback-port configuration, see the -[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). -`engraphis-server` and `engraphis server` are headless compatibility aliases -for this same v2 service, so every public surface has the same scoped recall and retention model. - -For optional LAN exposure, token configuration, and HTTP MCP setup, see the -[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). - -Set `ENGRAPHIS_API_TOKEN` to require API authentication and `ENGRAPHIS_DB_KEY` to encrypt -the local database at rest. Hosted-plan credentials configure customer clients; they do not -install premium server implementations into this image. See `docker-compose.yml` for options. - ---- - -## Quickstart: MCP server (for coding agents) - -```bash -pip install "engraphis[mcp]" -engraphis-init # writes ~/.engraphis/config.env + prints config snippets -claude mcp add engraphis -- engraphis-mcp -codex mcp add engraphis -- engraphis-mcp # Codex subscription - -``` - -> **Offline first run:** the first tool call lazily loads the `all-MiniLM-L6-v2` embedding -> model (~80 MB, same download as the dashboard), then memory runs fully offline with no API -> key. To stay offline-only, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never -> downloads); extraction defaults to `ENGRAPHIS_EXTRACTOR=none`, the vector backend `auto` -> falls back to NumPy without the `vector` extra, and recall without a usable semantic space -> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to -> verify the install and database path before registering the server. - -For Codex subscription setup and verification, see the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md) -and the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md). - -`engraphis-mcp` is zero-configuration Smart MCP: agents begin with nine compact tools for sessions, -prompt-ready recall, durable memory, governed record read/update, conflict review, action discovery, -and safe execution. For code graphs, -governance, audit, or other advanced work, the agent calls `engraphis_discover_actions` and then -the indicated read or action executor; no profile selection is required. The gateway validates -the discovered capability again before it runs it, and clients remain responsible for their -normal destructive-action approval boundary. - -Existing clients that use named tools can use -`engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, -including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). - -### Choose where agent memories belong - -Use the dashboard's agent connection setup to choose a workspace, save a repo-to-workspace -mapping, and copy project-specific agent instructions. Routine MCP calls with an omitted -workspace can inherit the supplied session or saved repo mapping. Explicit workspace values, -including `"default"`, take precedence; update older instructions or hooks that hardcode them. -Memory types describe the kind of memory, not its destination. See -[workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) -for setup, routing precedence, and previewing moves of existing memories. - -### Pi extension - -For installation, configuration, lifecycle commands, and the local trust boundary, see the -[Pi extension guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md). - -### Command Code SessionStart hook - -`integrations/commandcode/` ships a SessionStart hook that warms up a new -session with bounded, recalled context from the local Engraphis gateway. Fails -open on timeout and is installed via `python scripts/install_cc_hook.py`. -The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace -mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` -override must be cleared to use the mapping. Its context header shows the resolved workspace. - -### prime-agent fleet - -`integrations/prime_agent/` ships a first-party Python package for -[PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) -that exposes the same nine Smart MCP tools, with a `PrimeAgentFleet` of eight -named sub-agents (`researcher`, `planner`, `coder`, `reviewer`, `tester`, -`documenter`, `monitor`, `integrator`) sharing one `engraphis-mcp` stdio -subprocess. Install via `pip install ./integrations/prime_agent` and register -with `python scripts/install_prime_agent.py`. See the -[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md). - -**What the integration is.** A `PrimeAgentFleet` is a thin Python layer -around the same `engraphis-mcp` Smart gateway every other host uses. At -runtime the fleet holds one shared `EngraphisMcpClient`, which owns one -`engraphis-mcp` subprocess over JSON-RPC stdio. Each of the eight named -sub-agents gets its own Engraphis session (started lazily on first tool use) -and its own default `repo` scope, so per-role memory is isolated while the -local gateway stays single-process. The eight sub-agent names -(`researcher`, `planner`, `coder`, `reviewer`, `tester`, `documenter`, -`monitor`, `integrator`) are the fixed default; pass `agent_names=[...]` to -`PrimeAgentFleet(...)` for a custom set. Concurrent tool calls serialize at -the JSON-RPC frame layer through an `asyncio.Lock`, so framework-level -parallelism (eight sub-agents reasoning at once) is preserved while the -underlying MCP transport remains one ordered stream. The only integration -surface is `EngraphisPrimeAgent.register()` in -`integrations/prime_agent/src/engraphis_prime_agent/agent.py` -- that is the -single adapter point to override if prime-agent's tool-registration API -differs from the assumed `target.register_tool(name, fn, schema=...)` -contract. - -The design -- eight named sub-agents, one shared stdio subprocess, -per-agent session bootstrap, and `ENGRAPHIS_*`-only environment forwarding -to the gateway -- is recorded in `~/.commandcode/plans/prime-agent-integration.md` -on the host where the integration was developed. When that host plan is not -available (other contributor machines, CI), the same design is summarized in -the PR description that introduced the integration and in the -[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md) -("Architecture" and "Concurrency model" sections). - -## Quickstart: repository graph - -```bash -pip install "engraphis[code]" -engraphis-graph index -w acme -r api --root . -engraphis-graph search -w acme -r api "UserService" -# `query`/`explain` blend code search with your stored memories: query matches symbol -# and file NAMES (a full question sentence won't match anything), and explain's answer -# is drawn from memories recorded against the repo; both are empty on a fresh index. -engraphis-graph query -w acme -r api "UserService" -engraphis-graph explain -w acme -r api "why does deploy depend on approval?" -engraphis-graph path -w acme -r api UserService DatabasePool -engraphis-graph impact -w acme -r api --root . --git-range origin/main...HEAD -engraphis-graph prs -w acme -r api --base main --head HEAD -engraphis-graph export -w acme -r api -o engraphis-graph-out -engraphis-graph install-merge-driver --root . -``` - -The export contains `graph.json`, a self-contained `graph.html`, and `GRAPH_REPORT.md`. -Indexing supports Python, JavaScript, TypeScript, Go, Rust, Java, C#, C, C++, SQL, and -Terraform. Tree-sitter is used when available; the dependency-free regex backend remains a -functional fallback. Definitions, methods, calls, imports, ownership, variables, -inheritance/implementation, and docstrings/comments are indexed. Indexing is incremental by -content hash, honors `.engraphisignore`, and does not follow file symlinks outside the repository -root. Call edges are name-based and best-effort rather than type-resolved. The optional Git merge -driver validates bounded graph JSON and deterministically unions nodes and edges instead of -choosing one export side. - -For a read-only recall and graph API that can be shared without exposing write operations: - -```bash -pip install "engraphis[server]" -engraphis-graph-server # API at http://127.0.0.1:8720; schema at /openapi.json -``` - -A non-loopback bind fails closed unless `ENGRAPHIS_GRAPH_TOKEN` (or -`ENGRAPHIS_API_TOKEN`) is set. See [the v3 architecture/design document](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md). - ---- - -## Quickstart: Python library - -```python -from engraphis.service import MemoryService - -mem = MemoryService.create("engraphis.db") -mem.remember("Auth migrated from JWT to PASETO.", workspace="acme", repo="api") -hit = mem.recall("why did we change auth?", workspace="acme", repo="api") -print(hit["context"]) -``` - -The same `MemoryService` backs the dashboard and the MCP server. The package root also -intentionally exposes the low-level engine facade (`MemoryEngine`, `create_memory_engine`) -for advanced composition, while `MemoryService` remains the high-level service API. - -New writes support `session`, `repo`, and `workspace` visibility. `scope="user"` is reserved and -rejected until records carry an immutable owner identity; it must not be treated as private -per-person memory. Historical user-scope rows remain workspace-bound for compatibility. - -After an upgrade, `stats()` reports prompt-eligibility counts and active embedding-space -coverage. Zero-result recall identifies a review-gated scope instead of silently looking empty, -and `engraphis-cli review list|approve` provides a dry-run-first local bulk workflow. Embedding -model changes trigger a guarded rebuild; vector recall stays disabled until every stored vector -matches the new fingerprint. See [recall recovery](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RECALL_RECOVERY.md). - -Agent hosts can avoid retrieval when their existing history already fits: - -```python -decision = mem.adaptive_context( - "what should the agent do next?", - current_history, - workspace="acme", - repo="api", - max_context_tokens=8_192, - retrieval_token_budget=1_024, -) -prompt_context = decision["context"] -``` - -The decision is `history_bypass` when the history fits, `retrieval` when compact evidence is -strong, and `history_fallback` when weak retrieval should widen back to recent raw history. - -For an agent prompt, prefer `engraphis_recall_context`: it returns one hard-budget packed -`context` plus compact `sources`, deterministic `usage` accounting (`budget_tokens`, `context_tokens`, -`source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and -`token_counter`), and optional diagnostics. Accounting is exact for the named counter; inject the -reader's tokenizer when reader-model token parity is required. `engraphis_recall` remains the compatible full-recall -surface; use `response_mode="compact"` when the packed context is enough and full memory bodies -would duplicate it. For advanced query-planning configuration, see the -[architecture guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md#query-planning). - -Benchmark-driven alternatives are opt-in: `packing_mode="coverage"` keeps complete evidence -units from more source memories, while `retrieval_recipe="conversation"` and -`retrieval_recipe="long_session"` select the measured depth/budget starting points. The -historical `legacy`/`default` settings remain unchanged. For a value that must survive a file -edit or tool call exactly, Smart and Classic `engraphis_remember` and the Python/service write -APIs accept source-bound `exact_value` plus its `exact_value_type`. MCP remember requires a -unique occurrence; Python/service writes can select a repeated occurrence with `exact_value_span`. -Packed binding metadata requires the complete memory source, preserving conditions in any -language. Boundary whitespace outside the bound value may be trimmed. Coverage withholds a -bound group that cannot fit; legacy keeps its selected text but omits the incomplete binding. -Corrections and content revisions clear the old binding when content changes; -pass `exact_value` to explicitly bind the replacement, with `exact_value_span=[start,end]` -for a repeated occurrence, or `clear_exact_value=true` to remove a binding. Unchanged content -and title-only revisions preserve valid bindings. History preserves the original record. -MCP response trimming removes binding metadata whenever its supporting context is omitted. - -For bi-temporal reads, `valid_at` selects what was true at a Unix timestamp and `known_at` selects -what Engraphis had learned then. `as_of` remains a compatibility alias for `valid_at`; supplying -both is allowed only when they match. - -For a mutable claim, pass a stable `subject_key` and optional `claim_kind`, such as -`subject_key="api.rate_limit", claim_kind="configured_value"`. Offline conflict resolution -deterministically adds, reinforces, relates, or supersedes records while preserving temporal -history; it does not need an LLM. Matching claim identities let it supersede substantially -reworded mutable facts. Without them, the dependency-free lexical embedder cannot reliably infer -that a paraphrase is a contradiction, so keep both records or use an explicit `correct` operation. - ---- - -## Govern memories without losing history - -Engraphis separates automatic write resolution from explicit human governance: - -| Operation | Use it when | What happens to history | -|---|---|---| -| `remember` | Adding or restating one fact | Adds, reinforces, safely supersedes, or relates an uncertain neighbor | -| `correct` | Replacing one known-wrong memory | Closes the old validity window and links the replacement | -| `promote` | A narrow learning now applies more broadly | Writes a wider-scope successor and closes/links the source instead of editing scope in place | -| `merge` | Combining two or more overlapping memories | Retires every source and creates one memory that supersedes all of them | -| `retire` | Removing a memory from live recall | Bi-temporally closes it; the audit/history record remains | -| `consolidate` | Distilling recurring episodic memories automatically | Creates linked semantic digests; source episodes remain live | - -Manual N→1 merge is available through `MemoryService.merge()` and `POST /api/merge`: - -```python -a = mem.remember("Deploys happen Friday at 3pm.", workspace="acme") -b = mem.remember("We deploy Fridays around 15:00.", workspace="acme") - -merged = mem.merge( - [a["id"], b["id"]], - "Deploys ship every Friday at approximately 15:00.", - workspace="acme", - reason="deduplicate the deployment schedule", -) -print(merged["compaction"]) -``` - -`retire` is intentionally not deletion: it preserves temporal history, FTS, and vector -evidence for historical reads. If a credential was captured, new writes are blocked before -storage; for a legacy leak use the explicitly destructive `MemoryService.secure_erase()` or -`POST /api/secure-erase`/`engraphis_secure_erase`. That flow removes the one memory and local -FTS/vector-index and derived graph/link rows, runs SQLite secure-delete, WAL checkpoint, and -VACUUM, and scans recognised local SQLite recovery backups. It cannot erase exports, filesystem -snapshots, remote peers, unknown backups, or information a running/compromised agent already -read; rotate the credential. See [secure-erasure limits](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SECURE_ERASURE.md). `forget` -remains a deprecated compatibility alias for `retire`. - -All sources must belong to the named workspace. The result inherits the strictest source -sensitivity, remains untrusted if any source was untrusted, and stays pinned if any source was -pinned. The full multi-predecessor chain remains visible through inspection, Why, and Timeline. - ---- - -## Free forever vs. hosted plans - -The core engine, local dashboard, MCP server, and manual consolidation are Apache-2.0 and free. -**Pro and Team are services** that provide optional access to the official hosted service; its -control-plane, billing, relay, compute, and Team identity modules live in a private repository. -They do not limit the local core. See -[hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), [licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for service boundaries, lifecycle, and pricing. - -[Subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_pricing#billing) -to support the project and add hosted services. - -[Compare hosted plans](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing) -when you are ready to evaluate the service boundary and billing options. - -| | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | -|---|---|---|---| -| Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | -| Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | -| Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | -| Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | -| Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | -| Hosted Cloud Sync | | ✓ | ✓ | -| Hosted Analytics | | ✓ | ✓ | -| Hosted Auto Consolidation + retention policy | | ✓ | ✓ | -| Hosted Auto Dreaming + managed proposals | | ✓ | ✓ | -| Priority support | | ✓ | ✓ | -| Hosted multi-user dashboard: invitations, logins, roles, seat management | | | ✓ | -| Hosted Team audit log + CSV export | | | ✓ | -| 72-hour pending invitations (resend/revoke) | | | ✓ | -| Scoped, expiring per-user agent and sync tokens | | | ✓ | - ---- - -## MCP tools - -Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility -server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. -The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for -the full inventory and parameters. - ---- - -## Graphs and privacy-safe receipts - -Memory, entity, and code relationships live in one local graph. Engraphis also provides -content-free operation receipts for inspectable audit evidence. See the -[architecture](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md), [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md), and -[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) for the data model, tools, and guarantees. - ---- - -## Cloud sync - -Cloud Sync is an optional hosted Pro/Team service. The public package includes the customer client -and deterministic merge implementation; hosted relay and account operations are separate. See -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for setup, encryption, merge behavior, and the local folder exchange. - -The public package ships the same sync client as a console script and CLI verb: -`engraphis-sync` (installed entry point), `engraphis sync ...`, and -`python -m scripts.sync --status` for local-only state without network activity. See -[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for -flags, encryption, merge behavior, and the local folder exchange. - ---- - -## Security and trust boundaries - -Engraphis is local-first and binds to loopback by default. Read the -[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) before remote deployment or integrating external resources; it -covers supported versions, data protections, threat model, and vulnerability reporting. - ---- - -## Encryption at rest - -Set `ENGRAPHIS_DB_KEY` (or `ENGRAPHIS_DB_KEY_FILE`) and install the extra: - -```bash -pip install "engraphis[encryption]" -``` - -The entire main memory database file is transparently encrypted with AES-256 via SQLCipher; -full-text search, the graph, and every query keep working unchanged. Customer authentication -and managed-service state use their respective deployment protections. When a key is set for the -main database, Engraphis **fails closed with an error** rather than silently falling back to -plaintext. Generate a strong key: - -```bash -python -c "import secrets; print(secrets.token_hex(32))" -``` - -When using `ENGRAPHIS_DB_KEY_FILE`, provision a regular secret file readable only by the -service identity. Engraphis rejects links, reparse points, hard links, malformed text, and -oversized key files rather than following an unexpected filesystem object. - -> An existing plaintext database cannot be opened with a key: migrate it (dump → import -> into a fresh keyed DB). See `.env.example` for all encryption options. - ---- - -## Import files and folders - -The dependency-free universal core scans Markdown, plain text, RST, HTML, JSON/JSONL, CSV/TSV, -configuration/XML text, source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB into the normal -v2 memory path. Installed local resource adapters add PDF text, image OCR, and explicitly -local-model audio/video transcription. -Start with a zero-write -preview, then confirm the same source collection explicitly: - -```bash -engraphis import documents /path/to/collection --workspace acme --dry-run -engraphis import documents /path/to/collection --workspace acme --repo product --yes -``` - -The CLI never downloads an embedding model during import. Use a model that is already cached, -set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path`, or explicitly set -`ENGRAPHIS_EMBED_MODEL` to an empty value to use dependency-free deterministic hashing in -lexical degraded mode. - -The dashboard’s **Import local documents** flow offers the same preview, target scope, source -label, conflict policy, cancellation, and resumable progress. Re-imports are idempotent, -preserve temporal history, and report source removals without hard-deleting memories. Obsidian -remains the rich Markdown adapter for frontmatter, aliases, wikilinks, and attachment references: - -```bash -engraphis import obsidian /path/to/vault --workspace acme --dry-run -``` - -See the [document import guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCUMENT_IMPORT.md) -for supported formats, source safety, resume and conflict behavior, optional adapters, and -limitations; see the [Obsidian adapter guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/OBSIDIAN_IMPORT.md) -for Markdown-specific behavior. - ---- - -## Consolidation and automation - -Manual consolidation is free, local, and dry-run by default; use the dashboard, SDK, CLI, or -MCP. Hosted Pro and Team automation is optional managed compute that produces reviewable -proposals rather than silently changing local data. See [hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), -[licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) for scope and use. - ---- - -## Configuration - -Values come from the process environment. Engraphis also loads the owner-private -`~/.engraphis/config.env`; `ENGRAPHIS_ENV_FILE` can select another absolute owner-private regular -file. It never searches the working directory for `.env`, and explicit process variables win. - -| Env Var | Default | Description | -|---------|---------|-------------| -| `ENGRAPHIS_ENV_FILE` | `~/.engraphis/config.env` | Optional trusted config leaf selected before trusted values load. Its bounded dependency-free parser performs no interpolation. An explicit value must be an absolute path to an owner-private regular file; arbitrary working-directory `.env` files are ignored. | -| `ENGRAPHIS_DB_PATH` | Source: `/engraphis.db`; installed: platform user-data directory | SQLite database file. Installed defaults are `%LOCALAPPDATA%\engraphis\engraphis.db` (Windows), `~/Library/Application Support/engraphis/engraphis.db` (macOS), and `$XDG_DATA_HOME/engraphis/engraphis.db` or `~/.local/share/engraphis/engraphis.db` (Linux). The environment variable overrides every default; a relative value is resolved from the trusted `~/.engraphis/config.env` directory so launch CWD cannot select a different workspace database. | -| `ENGRAPHIS_SQLITE_DURABILITY` | `durable` | Writable file databases use WAL and FULL commit synchronization. Explicit `balanced` selects NORMAL, which can lose recent acknowledged writes after OS/power failure. Effective settings appear in diagnostics; see [SQLite durability](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SQLITE_DURABILITY.md). | -| `ENGRAPHIS_HOST` | `127.0.0.1` | Server bind address | -| `ENGRAPHIS_PORT` | `8700` | Dashboard port. A platform-injected `$PORT` (Railway/Fly/Heroku) takes precedence over this value for the dashboard bind; Compose pins both to `ENGRAPHIS_COMPOSE_PORT` so the mapping stays in sync | -| `ENGRAPHIS_SERVICE_MODE` | `customer` | The public package supports only `customer`; hosted vendor, relay, compute, and worker roles are not distributed here | -| `ENGRAPHIS_API_TOKEN` | Not set | Optional bearer credential for this single-user local customer node; never reuse a hosted credential | -| `ENGRAPHIS_CORS_ORIGINS` | loopback on `ENGRAPHIS_PORT` | Comma-separated REST CORS allow-list; defaults to `127.0.0.1` and `localhost` on the configured port | -| `ENGRAPHIS_INDEX_ROOTS` | Working, home, and temporary directories | Optional path-separator-delimited absolute-path allow-list that replaces the default roots accepted by local code indexing | -| `ENGRAPHIS_HTTP_INDEX_ROOT` | First `ENGRAPHIS_INDEX_ROOTS` entry, or current directory | Single root for dashboard and REST `POST /api/code/index`; submitted paths resolve beneath it. An explicit root (or fallback entry) must be absolute; an explicit HTTP root is included in the engine-approved set. MCP and CLI indexing continue to use `ENGRAPHIS_INDEX_ROOTS`. | -| `ENGRAPHIS_DB_KEY` | Not set | Encrypt the database at rest (SQLCipher). Or use `ENGRAPHIS_DB_KEY_FILE` | -| `ENGRAPHIS_EMBED_MODEL` | `sentence-transformers/all-MiniLM-L6-v2` | sentence-transformers model | -| `ENGRAPHIS_MCP_PRELOAD_EMBEDDER` | `auto` | Standalone MCP launchers import optional semantic dependencies on the launcher thread on Windows before serving requests. Set `0` to disable or `1` to enable on any platform; model loading and backend fallback policy remain unchanged. | -| `ENGRAPHIS_EMBED_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the embedding model. Loaded Hub commits or local artifact manifests identify persistent vector spaces; unresolved mutable identities keep vector recall fail-closed. | -| `ENGRAPHIS_RERANK_MODEL` | Not set | Optional sentence-transformers cross-encoder reranker | -| `ENGRAPHIS_RERANK_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the reranker | -| `ENGRAPHIS_REQUIRE_IMMUTABLE_MODELS` | `false` | When enabled, require a 40-hex commit before loading remote embedding models, rerankers, or chunk tokenizers; `local:` selectors and filesystem paths remain permitted | -| `ENGRAPHIS_REQUIRE_EXACT_BACKENDS` | `false` | When enabled, dashboard and standalone MCP startup fails if a configured optional backend is unavailable instead of silently falling back | -| `ENGRAPHIS_EXTRACTOR` | `none` | `none` = verbatim; `chunk` = offline structure-aware chunks; `llm` = free-form LLM facts; `llm_structured` = schema-validated facts + graph metadata | -| `ENGRAPHIS_CHUNK_TOKENIZER_MODEL` | Not set | Optional Hugging Face tokenizer used to enforce chunk budgets with the downstream reader's real tokenization; requires the optional `transformers` package | -| `ENGRAPHIS_CHUNK_TOKENIZER_REVISION` | Not set | Optional immutable tokenizer/model revision recorded in the chunk-counter identity; pin this for reproducible benchmark artifacts | -| `ENGRAPHIS_GRAPH_EXTRACTOR` | `regex` | `regex` = offline heuristic NER; `none` = disable heuristic text extraction (validated `llm_structured` metadata still feeds the graph) | -| `ENGRAPHIS_RETENTION_SUPERVISOR` | `none` | `none` = deterministic only; `llm` = sends a bounded excerpt to the configured provider for advisory ephemeral/normal/critical classification | -| `ENGRAPHIS_ALLOW_AUTOMATIC_CRITICAL_RETENTION` | `false` | Opt in only when an LLM supervisor may automatically assign the long-lived `critical` class; explicit user-selected critical retention is unaffected | -| `ENGRAPHIS_WHISPER_MODEL` | Not set | Enables local faster-whisper audio/video transcription | -| `ENGRAPHIS_POSTGRES_DSN` | Not set | CLI-only PostgreSQL source; used for the connection and never stored | -| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1--120) | -| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1--300000) | -| `ENGRAPHIS_GRAPH_TOKEN` | Not set | Bearer token for `engraphis-graph-server`; required off-loopback | -| `ENGRAPHIS_GRAPH_HOST` / `ENGRAPHIS_GRAPH_PORT` | `127.0.0.1` / `8720` | Read-only graph/recall server bind address | -| `ENGRAPHIS_LLM_PROVIDER` | `openai` | `openai \| anthropic \| google \| openrouter \| custom` | -| `ENGRAPHIS_LLM_MODEL` | `gpt-4o-mini` | Model name (provider-specific) | -| `ENGRAPHIS_LLM_API_KEY` | Not set | API key for chat/synthesis, `llm` / `llm_structured` extraction, and structured consolidation | -| `ENGRAPHIS_LLM_BASE_URL` | Not set | Base URL for openrouter / custom OpenAI-compatible endpoints | -| `ENGRAPHIS_LLM_AUTO_EXTRACT` | `0` | Opt in to switching the running engine to `llm_structured` after a successful live connection test; the dashboard's extraction Off button persists `0`, and its On button restores `1` | -| `ENGRAPHIS_FORWARDED_ALLOW_IPS` | *(none)* | Proxies trusted for forwarded client/TLS headers (`*` only when the service is reachable exclusively through that proxy) | -| `ENGRAPHIS_LOCAL_TRUSTED_PEERS` | *(none)* | Exact peers/CIDRs treated as local without forwarding headers; use only for trusted Docker/LAN peers, never public deployments | -| `ENGRAPHIS_UPDATE_CACHE` | `86400` | Update-check cache TTL in seconds, bounded to `1..31622400`; this is never a cache-file path | -| `ENGRAPHIS_UPDATE_CHECK` | Off | Opt-in release reminder surfaced in the dashboard, server startup log, and MCP. Update checks run only when this is set to an affirmative value; `0` keeps them off. | -| `ENGRAPHIS_UPDATE_URL` | Not set | Overrides the release-check source URL; the outbound client accepts HTTPS and rejects private/reserved destinations. | -| `ENGRAPHIS_CLOUD_CONTROL_URL` | hosted default | Official entitlement, organization, and credential control API. A saved rotating credential stays bound to the control endpoint recorded for its family; reconnect to change it. | -| `ENGRAPHIS_CLOUD_COMPUTE_URL` | hosted default | Official Analytics and managed-automation API. A saved rotating credential stays bound to its recorded compute endpoint; reconnect to change it. | -| `ENGRAPHIS_CLOUD_ORGANIZATION_ID` | Not set | Hosted organization bound to this customer session | -| `ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL` | Not set | Bootstrap-only rotating hosted credential; after first use the owner-only cloud session replacement takes precedence | -| `ENGRAPHIS_CLOUD_TOKEN_SUBJECT` | `member` | Subject fixed during hosted bootstrap (`device` or `member`); set explicitly with an environment-only refresh credential | -| `ENGRAPHIS_CLOUD_ACCESS_TOKEN` | Not set | Optional short-lived access token for ephemeral jobs | -| `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` | *(unset)* | Deny-only operator override: `0` pauses readable managed processing. A truthy value cannot grant approval. Each workspace requires explicit confirmation in Manage → Settings; encrypted sync is separate | - -The optional cross-encoder reranker is model- and hardware-dependent. Treat its quality and -latency as deployment-specific until a versioned model identity, exact configuration, and -reproducible evaluation artifact are available for the comparison being reported. - -See `.env.example` for the full variable inventory. Supply those values through the process -environment or the trusted config file above; copying it to an arbitrary `./.env` does not make -Engraphis load it. - -> **Ablation fixture:** `python -m eval.ablation` is an offline deterministic check that prints -> `recall@5` comparisons for vector-only and hybrid retrieval, multi-hop graph arms, and -> retrieval policies, plus ordinary-recall age and semantic-confidence checks. It does not -> produce MRR, hit@5, or ms/query results. Use `python -m eval.reinforcement` for retention -> trajectories, and register evidence before quoting any benchmark results. - ---- - -## Project structure - -``` -engraphis/ -├── engraphis/ -│ ├── core/ # v2 engine: interfaces, store, recall, scoring, schema, sync -│ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption -│ ├── factory.py # outer v2 composition root; selects and injects concrete backends -│ ├── service.py # validated MemoryService facade -│ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server -│ ├── dashboard_app.py # dashboard WebUI (FastAPI) -│ ├── dashboard_assets/ # primary Ledger interface + graph engine -│ ├── classic_assets/ # selectable full operator dashboard backup -│ ├── read_only_api.py # token-protected recall/repository-graph HTTP surface -│ ├── hosted_client.py # hosted URLs, plan labels, and endpoint validation only -│ ├── licensing.py # compatibility facade for hosted presentation metadata -│ ├── cloud_session.py # rotating hosted customer-session client -│ ├── cloud_features.py # consented managed-feature protocol client -│ ├── config.py / app.py # env settings / REST server -│ └── static/ # compatibility dashboard asset paths -├── eval/ # offline retrieval eval harness + datasets -├── tests/ # offline-first pytest suite and release/security contracts -├── scripts/ # dashboard, server, graph, CLI, connect, update, consolidation, sync -├── docs/ # product, API, hosting, sync, and provider guides -├── Dockerfile / docker-compose.yml -└── pyproject.toml -``` - -New capability belongs in the v2 path (`engraphis/core/`, `engraphis/backends/`, and -`MemoryService`) behind the interfaces in `core/interfaces.py`. Algorithm modules in `core/` -remain backend-agnostic; `engraphis/factory.py` is the outer composition root used by -`engraphis.create_memory_engine()` and the compatibility `MemoryEngine.create()` entry point, then -injects the selected collaborators into `core/engine.py`. The flat-namespace v1 server under -`engraphis/app.py`, `routes/`, `stores/`, and `engines/` remains a -compatibility/reference surface; `engraphis-dashboard`, the MCP server, and the Python quickstart -above use v2. - ---- - -## License - -Apache-2.0. See [LICENSE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) and [NOTICE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/NOTICE). "Engraphis" is a trademark of the -Engraphis project; the license does not grant trademark rights. Code already distributed -under Apache-2.0 keeps that grant; later releases cannot retroactively withdraw it. The -official hosted control plane, its production credentials and records, managed operations, -support, and future separately delivered commercial modules are outside the public source -grant. See [`docs/LICENSING.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md) for the complete boundary. - -### Reliability implementation candidate - -The current source uses schema 18 for durable, content-free vector-index repair and -atomic memory-command receipts. Upgrades use the existing verified-backup migration path. -The [rework execution register](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/REWORK_EXECUTION.md) records the current findings, -compatibility decisions, acceptance evidence, remaining work and recovery procedure. -See [the reliability program](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RELIABILITY_PROGRAM.md) for exact implementation, -validation, migration and release boundaries. Managed processing now requires explicit -workspace approval in Settings. Existing installations start with readable -uploads paused until confirmed; connecting an account does not grant approval. - -For setup diagnostics use `engraphis-init --check --json`. New configurations get an -owner-private local API token. Existing configs are preserved. Record selected install -capabilities with `engraphis-init --extras server,mcp` or `--extras none`; future updates -preserve that choice. `ENGRAPHIS_UPDATE_EXTRAS` remains an explicit override. +# Engraphis + +[![PyPI version](https://img.shields.io/pypi/v/engraphis.svg)](https://pypi.org/project/engraphis/) +[![License](https://img.shields.io/badge/license-Apache--2.0-green.svg)](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) +[![Support](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-support-yellow?logo=buy-me-a-coffee)](https://buymeacoffee.com/Jaixii) + +[https://engraphis.com/](https://engraphis.com/) + +[https://discord.com/invite/Wfr2ejBmY](https://discord.com/invite/Wfr2ejBmY) + +**Give your AI agents a memory. See it, search it, and maintain it, all in a beautiful WebUI on your own machine.** + +

    + Engraphis Knowledge Graph tab: force-directed entity-relation network +
    + Knowledge Graph · run engraphis-dashboard to see it live +

    + +**Grounded, not guessed.** Memory with receipts. Local by default. + +--- + +> **Open-core boundary:** this repository contains the free local engine, dashboard, MCP server, +> and customer-side clients. Hosted sync, analytics, automation, and team services run on the +> official hosted service; their server implementations are not distributed here. + +> **Support continued Engraphis development with Pro.** [Start a 3-day Pro trial](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro&trial=pro#billing) +> or [subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing). + +--- + +## Measured token and context savings + +### Runtime estimator + +The dashboard Overview and Audit/Receipts views also show a receipt-backed estimate from +real context deliveries. It compares the host history or retrieved source baseline with the +context Engraphis actually emitted, keeps token counters and release versions separate, and +labels adaptive history reductions separately from packing savings. Receipts without estimator +metadata remain historical/unclassified. This measures estimated prompt-context reduction; it +does not measure provider billing. The `/context-savings` API and +`engraphis_context_savings` MCP tool aggregate the complete history across all visible workspaces +by default, or accept an explicit workspace plus optional `from_ts`, `to_ts`, and +`release_version` filters. + +

    + Dark chart of registered deterministic fixtures. Structure-aware chunks reduce retrieved context from 740.3 to 214.3 tokens and the smallest evidence-holding memory from 162.2 to 42.4 tokens. A compact JSON-shape proxy uses 11,138 rather than 24,590 tokens. Retrieved-candidate quality is labeled separately from packed-context quality, both measured in the selected report with packed-quality fields. Actual MCP transport and provider billing are not measured. +
    + Less repeated history means more room for the task, tools, and useful evidence. +

    + +
    +See benchmark details and reproduce the results + +### Controlled before-and-after example + +| Retrieval mode | Mean returned memory content | Recall@5 | +|---|---:|---:| +| Whole documents | 740.3 tokens | 1.000 | +| Engraphis structure-aware chunks | 214.3 tokens | 1.000 | + +The chunked mode returns the relevant passage instead of the whole document: **526.0 fewer tokens +per question**. Under the same model-context budget, that leaves roughly **526 tokens** for task +instructions or other relevant evidence. This is evidence ID `offline-chunking` in the registered +artifact below. + +### Measurement details and reproducibility + +The table below contains every exact token/context aggregate currently published here and keeps +its counting boundary explicit. + +| What is counted | Comparison | Measured reduction | Quality held constant | +|---|---|---|---| +| Retrieved top-5 memory content, averaged per question | Whole documents: **740.3** tokens → structure-aware chunks: **214.3** tokens | **526.0 fewer tokens per question** (**71.1% lower**, about **3.5× smaller**) | Recall@5 **1.000** in both modes across 6 documents and 18 questions | +| Smallest returned memory that contains the reference evidence | Whole documents: **162.2** tokens → chunks: **42.4** tokens | **119.8 fewer tokens to evidence** (**73.9% lower**, about **3.8× smaller**) | The same 18 questions had a returned evidence-holding memory in both modes | +| Full versus compact recall payload proxy across one 26-question pass within a 260-timed-recall CodeMem run | Full proxy: **24,590** `engraphis.regex.v1` tokens → compact proxy: **11,138** tokens | **13,452 proxy tokens avoided** (**54.71% lower**) | 26 payload samples; 260 timed recalls; Recall@5, hit@5, and answer-token recall all **1.000** | +| Packed prompt-context usage in the same 26-question CodeMem sample pass | Hard budget: **1,500** tokens; observed mean: **85.38**; observed maximum: **108** | A hard cap prevents a recall from exceeding its configured context budget | This is usage accounting, not a before/after savings comparison | + +The performance report keeps its legacy `quality` fields for all candidate chunks returned before +context packing and adds `packed_quality` for evidence admitted to the reader context. The checked-in +v19 artifact includes both quality views, with Recall@5, hit@5 and answer-token evidence coverage +of 1.000 for the 26-question fixture in each view. Both views measure retrieved evidence; +neither is an end-to-end question-answer score. Coding outcomes, external datasets, and staged +operational capacity remain separate pending evaluation tracks until their artifacts are selected. + +These values are evidence IDs `offline-chunking` and `offline-performance` in +[`offline-fixtures-v102.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v102.json), +SHA-256 +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`. +[`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) +records the matching suite digest, exact commands, and per-command config digests. The offline +fixture registry intentionally excludes external, model-dependent, consolidation, productivity, +and latency results. Completed retrieval-only diagnostics are published separately in the +[benchmark expansion results](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/BENCHMARK_EXPANSION_RESULTS.md) with redacted immutable +artifacts; no generated-answer, official leaderboard, hosted-latency, or paid result is claimed +here. + +The compact payload shape avoids duplicating full memory bodies when the packed context and source +list are enough. The evaluator tokenizes JSON-shaped full and compact payload proxies built from +recall results; it does **not** serialize the MCP envelope or measure a transport response. The +fixture therefore does not measure model-provider charges, end-to-end task time, or customer cost +savings. + +The measures are deliberately separate and **must not be added together**: chunking counts the +content of retrieved memory records before `ContextPacker`, whereas compact recall counts a +serialized JSON-shape payload proxy. “Tokens to evidence” is the size of the smallest +retrieved memory record holding the reference evidence; it is not latency or end-to-end answer +accuracy. Chunking creates more focused stored records, so this is a context-efficiency result, +not a storage-reduction claim. + +Reproduce the registered quality and token/context measurements without a network connection or +API key: + +```bash +python -m eval.grounded +python -m eval.chunking_eval --dataset eval/datasets/longdoc.jsonl --k 5 +python -m eval.performance --dataset eval/datasets/codemem.jsonl --k 5 --iterations 10 --json +``` + +These are small deterministic correctness and efficiency fixtures, not official LoCoMo / +LongMemEval QA scores or a third-party leaderboard result. Compact-response counts use the exact +`engraphis.regex.v1` counter; the chunking evaluation uses its documented deterministic +normalized-character estimator. Chunking measures retrieved memory content, while compact recall +measures a serialized JSON-shape payload proxy, not an MCP transport response. See the registered +artifact and [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) +for definitions, limitations, and canonical external-evaluation requirements. + +
    + +--- + +## Full Engraphis install: pip install "engraphis[all]" + +The complete `engraphis[all]` install is the default way to use Engraphis: it includes the local +dashboard, Smart MCP server, documents, Cloud Sync client, and supported optional integrations. +Python 3.10+ is required. + +```bash +pip install "engraphis[all]" +engraphis-dashboard +``` + +The dashboard opens at [http://127.0.0.1:8700](http://127.0.0.1:8700). Local memory needs no +account or API key. + +### Smaller installation options + +Use a smaller package only when you intentionally need a limited surface. The NumPy-only core +continues to support Python 3.9+. + +| Goal | Install | Start | +|---|---|---| +| Local dashboard and REST API | `pip install "engraphis[server]"` | `engraphis-dashboard` | +| Coding-agent memory over Smart MCP | `pip install "engraphis[mcp]"` | `codex mcp add engraphis -- engraphis-mcp` | +| Native SQLite vector acceleration | `pip install "engraphis[vector]"` | Server entrypoints select it automatically | +| Offline Python library | `pip install engraphis` | `MemoryService.create("engraphis.db")` | + +For MCP clients other than Codex, configure a stdio server whose command is `engraphis-mcp`; see +the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md). + +### Updating + +Use `engraphis-update` to upgrade the installation using its detected install method. Package +metadata does not record which extras were selected, so the updater defaults to the safe +superset `engraphis[all]` rather than silently dropping an optional surface. For a deliberate +selection, set `ENGRAPHIS_UPDATE_EXTRAS` to a comma-separated list (for example +`server,mcp`), or set it to `none` for the base package only. + +> **Upgrading to 1.4:** `engraphis-mcp` now exposes the nine-tool Smart gateway. Integrations that +> require the former 35 direct tool names should run `engraphis-mcp-classic`. The SQLite schema +> in the 1.4.0 release was version 9. Existing v7-to-v8 databases already contain `confidence` +> and `pinned_at`/`unpinned_at`; v9 adds the `memory_tombstones` repository-scope column/table +> and performs a one-time entity-canonicalization repair, then migrates automatically on first +> open. A tombstone with a known `repo_id` is terminal only in that repository; legacy repo-less +> tombstones remain global. See the [1.4.0 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#140---2026-08-02). + +> **Upgrading to 1.5:** schema 10 bounds legacy retention state and schema 11 backfills explicit +> approval only for eligible pre-review local memories. Pending and quarantined evidence remains +> gated. Existing 1.4.x databases migrate automatically when Engraphis 1.5 opens them; see the +> [1.5 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#15---2026-08-04). + +> **Upgrading to 1.6:** existing 1.5 databases migrate automatically through schema 12, which +> classifies content-free erasure markers before sync: existing markers become local-only +> `never_export`, while new secure erasures become `remote_erasure` only for non-secret +> `workspace`/`repo` records already eligible for sharing. Schema 13 adds per-memory hybrid +> logical clocks for deterministic descriptive-state sync and durable, content-free proof that a +> memory crossed a sync boundary. Schema 14 adds the Obsidian collection and import manifests; +> schema 15 generalizes them to source-neutral local documents, preserves temporal source lineage +> across re-imports, binds adapters and target scopes, and retains only bounded, content-free +> per-job format/result metadata. The schema 16 migration persists each import job's optional session target +> and requires source lineage and job-item attachments to remain in that exact session. See the +> [1.6 release notes](https://github.com/Coding-Dev-Tools/engraphis/blob/main/CHANGELOG.md#16---2026-08-15). + +--- + +## What Engraphis gives an agent + +An agent should not have to reconstruct a project from scattered chat history on every task. +Engraphis turns local project knowledge into scoped, time-aware memory; retrieves the evidence +that supports the current question; and returns a bounded, attributable context packet. + +The core task is continuity: retrieve the current, supported project decision without dragging the +whole history into the next prompt. See [measured token and context savings](#measured-token-and-context-savings) +for the short version of how much less history an agent has to carry. + +| Agent need | What Engraphis changes | +|---|---| +| Remember a project across sessions | Stores typed memory in a `workspace → repo → session` hierarchy and provides a last-session handoff. | +| Find support for the current task | Fuses vector, lexical, graph, and code-aware retrieval instead of relying on one search signal; `fast` can skip graph traversal for small or latency-sensitive vaults. | +| Know what is true now and what changed | Preserves bi-temporal history and supersession chains instead of silently overwriting a fact. | +| Avoid confident guesses | Returns cited evidence or explicitly abstains when support is too weak. | +| Avoid dragging the whole project into every prompt | Packs context to a configured hard budget and can return a compact MCP response. | +| Keep knowledge in the operator's control | Runs local-first and offline-capable, with scopes, audit records, and optional privacy-safe receipts. | + +## Dashboard and local UI + +The Engraphis dashboard opens `http://127.0.0.1:8700`. Local memory needs no cloud account, +signup, or API key and stays in a SQLite file on your machine. + +**Ledger** is the primary local interface for recall, memories, graph exploration, provenance, +workspaces, and manual consolidation. **Classic** preserves the former full tool suite; both use +the same local data. Switch in **Manage → Settings → Interface** (Ledger) or **Settings → +Appearance & Engine** (Classic). + +### Start it on every platform + +| Platform | How | +|----------|-----| +| **Windows** | Double-click **Engraphis Dashboard** on your Desktop or Start Menu (install: `engraphis-dashboard --install-shortcuts`) | +| **macOS** | Double-click **Engraphis Dashboard.app** on your Desktop (install: same command) | +| **Linux** | Desktop entry in Applications → Development (GNOME/KDE/etc.) | +| **Docker** | `docker compose up`: see `docker-compose.yml` for the one-command deployment | +| **Any** | `engraphis-dashboard` in a terminal | + +In a source checkout, `scripts/launch_dashboard.ps1` is only a Windows convenience wrapper. It +delegates configuration, startup health, browser opening, and process lifecycle to the same +`engraphis-dashboard` entrypoint rather than maintaining a second behavior path. + +### Accessibility-first inspection, built in + +Inspect memories, supersession diffs, recall scores, timelines, links, consolidation, and audit +records in the dashboard. The offline graph renderer is vendored, and the interface is keyboard- +navigable with light and dark themes. Graph exploration offers a focused **High quality** view and +an explicit worker-backed **Every node** view for complete entity projections up to 20,000 +nodes and 200,000 relationships; see the [graph performance profiles](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/GRAPH_PERFORMANCE.md). + +--- + +## How it works + +Engraphis gives agents durable, scoped, *explainable* project knowledge. The local engine combines +Ebbinghaus decay, bi-temporal facts, and hybrid vector/lexical/graph recall; it runs offline with +SQLite, local embeddings, and `numpy` only. + +- **Grounded and governed:** deterministic conflict resolution, cited answers or abstention, + explicit correction/promotion/forgetting, and a complete history. +- **Agent-ready:** MCP tools, hard-budget context packets, handoffs, and code-aware retrieval. +- **Auditable:** content-free receipt chains, provenance, and temporal/entity/code relationships. +- **Practical:** local file and code ingest, optional PDF/OCR/transcription, and SQLCipher at rest. + +### Optional LLM providers + +The memory engine, embeddings, conflict resolution, and recall stay local without an LLM. An +explicitly configured provider adds structured extraction, cited synthesis, consolidation, and +retention supervision. Configure it in **Settings → Connect an LLM**. The activity view records +outcomes, never keys, prompts, or raw provider responses. See the +[LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md) for setup and privacy choices. + +> Privacy boundary: text sent to an explicitly selected provider leaves the local process under +> that provider's terms. Use `ENGRAPHIS_RETENTION_SUPERVISOR=none` (the default) and the offline +> `chunk` extractor when ingestion must remain entirely local. + +Choose and configure an external LLM with the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md), +including OpenAI, Anthropic, Google, OpenRouter, Ollama, Cohere Command, Command Code Provider, +and other compatible endpoints. The guide also covers Codex subscription MCP connections. + +--- + +## Install + +```bash +pip install "engraphis[all]" # self-hosted dashboard, MCP, code graph, documents, transcription, PostgreSQL, and Cloud Sync +pip install "engraphis[server]" # dashboard + REST API +pip install "engraphis[mcp]" # MCP server only +pip install "engraphis[documents]" # PDF + image OCR bindings +pip install "engraphis[transcription]" # faster-whisper audio/video +pip install "engraphis[postgres]" # PostgreSQL schema introspection +pip install "engraphis[code]" # tree-sitter code graph indexing +pip install "engraphis[vector]" # native sqlite-vec exact-KNN acceleration +pip install "engraphis[cloud-sync]" # Cloud Sync client crypto/runtime +pip install "engraphis[encryption]" # SQLCipher encryption-at-rest extra +pip install engraphis # core library: numpy only, fully offline +``` + +The official Docker image includes the local Tesseract executable for image OCR. Outside +Docker, the `documents` extra installs its Python bindings; install Tesseract through your +operating system as well if you enable image OCR. + +The NumPy-only core library supports Python 3.9+. Current patched releases of the WebUI +stack, MCP SDK, image parser, and Cloud Sync client require Python 3.10+, so use Python 3.10 +or newer for the `server`, `mcp`, `documents`, `cloud-sync`, or `all` installation paths. + +The default `NumpyVectorIndex` performs an exact full scan. There is no universal memory-count +cutoff because latency depends on vector size, hardware, filters, and the rest of the recall +pipeline. Measure your machine with `python -m eval.vector_scale --backend numpy`, then run +`python -m eval.performance` on a representative corpus. If exact scans miss your latency target, +install `engraphis[vector]`, create the engine with `vector_backend="sqlite-vec"`, and remeasure. +The stable sqlite-vec `vec0` backend executes exact KNN in native code; it is acceleration, not a +claim of sublinear ANN scaling. See [BENCHMARKS.md](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md) for the reproducible commands +and reporting limits. + +Dashboard, REST, and MCP entrypoints default to `ENGRAPHIS_VECTOR_BACKEND=auto`: they use +sqlite-vec when the `vector` extra is installed and compatible, then safely fall back to NumPy. +Programmatic `MemoryEngine.create()` and `MemoryService.create()` retain the deterministic +`numpy` default unless a backend is requested explicitly. +Use `python -m eval.vector_scale --backend sqlite-vec` for an input-identical direct-search +comparison; setup/index-build time is explicitly excluded from the timed search envelope. + +Persistent vectors fail closed unless the embedder can publish a durable, secret-free space +fingerprint. Sentence Transformers use the loaded Hub commit or a manifest of local artifacts; +when a remote model's immutable identity cannot be resolved, persistent vector recall remains +gated instead of mixing spaces. For programmatic OpenAI-compatible embeddings, construct +`ApiEmbedder` with an operator/provider `space_version`; without it the adapter remains usable for +ephemeral embedding only. Its `base_url` may be a provider root or a `/v1` root and is normalized +to exactly one `/v1/embeddings` endpoint. + +`sqlcipher3-binary` publishes CPython manylinux x86-64 wheels. On that target, +`engraphis[encryption]` installs the driver. The cross-platform `all` extra deliberately +omits it so `all` remains resolvable on macOS, Windows, Linux ARM, and musl; on those +targets, provision a compatible SQLCipher driver separately before enabling a database +key. The programmatic core remains plaintext unless a database key is configured. For a +fresh database, `engraphis-init` enables SQLCipher automatically when a compatible driver is +available, creates a private key sidecar, and can be overridden with `--no-encryption`. + +> **Linux / macOS:** if `pip install` fails with `error: externally-managed-environment`, +> your system Python is marked read-only (PEP 668). Install into a virtual environment +> instead. Run `python3 -m venv venv && source venv/bin/activate && pip install "engraphis[server]"` +> Alternatively, use Docker (`docker compose up`). `pipx install "engraphis[server]"` also works. + +> First run downloads `all-MiniLM-L6-v2` (~80 MB). Without it, the engine falls back +> to deterministic feature hashing so it always runs offline. That fallback captures lexical +> overlap, not meaning: recall and grounded MCP responses set `degraded_mode=true` and +> `semantic_support=false`, and disable vector retrieval plus semantic-cosine evidence. Install +> a declared embedding model for semantic retrieval. + +> To require a model that is already local, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` +> or `local:`. This path never downloads a model. If it is unavailable, Engraphis +> explicitly enters lexical degraded mode instead of presenting hash-vector scores as semantic. + +--- + +## Quickstart: dashboard + +```bash +pip install "engraphis[server]" +engraphis-dashboard # → http://127.0.0.1:8700 +engraphis-dashboard --install-shortcuts # → Desktop + Start Menu icons +``` + +> **Offline first run:** the first launch downloads the `all-MiniLM-L6-v2` embedding model +> (~80 MB), then runs fully offline. To stay offline-only, set +> `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never downloads; unknown local models +> enter lexical degraded mode instead of faking semantic scores). Extraction defaults to +> `ENGRAPHIS_EXTRACTOR=none` (verbatim writes), the vector backend defaults to `auto` (native +> acceleration when installed, otherwise NumPy), and recall without a usable semantic space +> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to +> verify the install, extras, and database writability. + +### Docker + +```bash +docker compose up # → http://127.0.0.1:8700 +``` + +For Docker Compose persistence and loopback-port configuration, see the +[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). +`engraphis-server` and `engraphis server` are headless compatibility aliases +for this same v2 service, so every public surface has the same scoped recall and retention model. + +For optional LAN exposure, token configuration, and HTTP MCP setup, see the +[Docker deployment guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCKER.md). + +Set `ENGRAPHIS_API_TOKEN` to require API authentication and `ENGRAPHIS_DB_KEY` to encrypt +the local database at rest. Hosted-plan credentials configure customer clients; they do not +install premium server implementations into this image. See `docker-compose.yml` for options. + +--- + +## Quickstart: MCP server (for coding agents) + +```bash +pip install "engraphis[mcp]" +engraphis-init # writes ~/.engraphis/config.env + prints config snippets +claude mcp add engraphis -- engraphis-mcp +codex mcp add engraphis -- engraphis-mcp # Codex subscription + +``` + +> **Offline first run:** the first tool call lazily loads the `all-MiniLM-L6-v2` embedding +> model (~80 MB, same download as the dashboard), then memory runs fully offline with no API +> key. To stay offline-only, set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path` (never +> downloads); extraction defaults to `ENGRAPHIS_EXTRACTOR=none`, the vector backend `auto` +> falls back to NumPy without the `vector` extra, and recall without a usable semantic space +> reports `degraded_mode=true` with lexical/graph recall. Run `engraphis-init --check` to +> verify the install and database path before registering the server. + +For Codex subscription setup and verification, see the [agent connection guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/AGENT_CONNECT.md) +and the [LLM provider guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LLM_PROVIDERS.md). + +`engraphis-mcp` is zero-configuration Smart MCP: agents begin with nine compact tools for sessions, +prompt-ready recall, durable memory, governed record read/update, conflict review, action discovery, +and safe execution. For code graphs, +governance, audit, or other advanced work, the agent calls `engraphis_discover_actions` and then +the indicated read or action executor; no profile selection is required. The gateway validates +the discovered capability again before it runs it, and clients remain responsible for their +normal destructive-action approval boundary. + +Existing clients that use named tools can use +`engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, +including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). + +### Choose where agent memories belong + +Use the dashboard's agent connection setup to choose a workspace, save a repo-to-workspace +mapping, and copy project-specific agent instructions. Routine MCP calls with an omitted +workspace can inherit the supplied session or saved repo mapping. Explicit workspace values, +including `"default"`, take precedence; update older instructions or hooks that hardcode them. +Memory types describe the kind of memory, not its destination. See +[workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) +for setup, routing precedence, and previewing moves of existing memories. + +### Pi extension + +For installation, configuration, lifecycle commands, and the local trust boundary, see the +[Pi extension guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/pi/README.md). + +### Command Code SessionStart hook + +`integrations/commandcode/` ships a SessionStart hook that warms up a new +session with bounded, recalled context from the local Engraphis gateway. Fails +open on timeout and is installed via `python scripts/install_cc_hook.py`. +The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace +mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` +override must be cleared to use the mapping. Its context header shows the resolved workspace. + +### prime-agent fleet + +`integrations/prime_agent/` ships a first-party Python package for +[PrimeIntellect prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) +that exposes the same nine Smart MCP tools, with a `PrimeAgentFleet` of eight +named sub-agents (`researcher`, `planner`, `coder`, `reviewer`, `tester`, +`documenter`, `monitor`, `integrator`) sharing one `engraphis-mcp` stdio +subprocess. Install via `pip install ./integrations/prime_agent` and register +with `python scripts/install_prime_agent.py`. See the +[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md). + +**What the integration is.** A `PrimeAgentFleet` is a thin Python layer +around the same `engraphis-mcp` Smart gateway every other host uses. At +runtime the fleet holds one shared `EngraphisMcpClient`, which owns one +`engraphis-mcp` subprocess over JSON-RPC stdio. Each of the eight named +sub-agents gets its own Engraphis session (started lazily on first tool use) +and its own default `repo` scope, so per-role memory is isolated while the +local gateway stays single-process. The eight sub-agent names +(`researcher`, `planner`, `coder`, `reviewer`, `tester`, `documenter`, +`monitor`, `integrator`) are the fixed default; pass `agent_names=[...]` to +`PrimeAgentFleet(...)` for a custom set. Concurrent tool calls serialize at +the JSON-RPC frame layer through an `asyncio.Lock`, so framework-level +parallelism (eight sub-agents reasoning at once) is preserved while the +underlying MCP transport remains one ordered stream. The only integration +surface is `EngraphisPrimeAgent.register()` in +`integrations/prime_agent/src/engraphis_prime_agent/agent.py` -- that is the +single adapter point to override if prime-agent's tool-registration API +differs from the assumed `target.register_tool(name, fn, schema=...)` +contract. + +The design -- eight named sub-agents, one shared stdio subprocess, +per-agent session bootstrap, and `ENGRAPHIS_*`-only environment forwarding +to the gateway -- is recorded in `~/.commandcode/plans/prime-agent-integration.md` +on the host where the integration was developed. When that host plan is not +available (other contributor machines, CI), the same design is summarized in +the PR description that introduced the integration and in the +[prime-agent integration guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/integrations/prime_agent/README.md) +("Architecture" and "Concurrency model" sections). + +## Quickstart: repository graph + +```bash +pip install "engraphis[code]" +engraphis-graph index -w acme -r api --root . +engraphis-graph search -w acme -r api "UserService" +# `query`/`explain` blend code search with your stored memories: query matches symbol +# and file NAMES (a full question sentence won't match anything), and explain's answer +# is drawn from memories recorded against the repo; both are empty on a fresh index. +engraphis-graph query -w acme -r api "UserService" +engraphis-graph explain -w acme -r api "why does deploy depend on approval?" +engraphis-graph path -w acme -r api UserService DatabasePool +engraphis-graph impact -w acme -r api --root . --git-range origin/main...HEAD +engraphis-graph prs -w acme -r api --base main --head HEAD +engraphis-graph export -w acme -r api -o engraphis-graph-out +engraphis-graph install-merge-driver --root . +``` + +The export contains `graph.json`, a self-contained `graph.html`, and `GRAPH_REPORT.md`. +Indexing supports Python, JavaScript, TypeScript, Go, Rust, Java, C#, C, C++, SQL, and +Terraform. Tree-sitter is used when available; the dependency-free regex backend remains a +functional fallback. Definitions, methods, calls, imports, ownership, variables, +inheritance/implementation, and docstrings/comments are indexed. Indexing is incremental by +content hash, honors `.engraphisignore`, and does not follow file symlinks outside the repository +root. Call edges are name-based and best-effort rather than type-resolved. The optional Git merge +driver validates bounded graph JSON and deterministically unions nodes and edges instead of +choosing one export side. + +For a read-only recall and graph API that can be shared without exposing write operations: + +```bash +pip install "engraphis[server]" +engraphis-graph-server # API at http://127.0.0.1:8720; schema at /openapi.json +``` + +A non-loopback bind fails closed unless `ENGRAPHIS_GRAPH_TOKEN` (or +`ENGRAPHIS_API_TOKEN`) is set. See [the v3 architecture/design document](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md). + +--- + +## Quickstart: Python library + +```python +from engraphis.service import MemoryService + +mem = MemoryService.create("engraphis.db") +mem.remember("Auth migrated from JWT to PASETO.", workspace="acme", repo="api") +hit = mem.recall("why did we change auth?", workspace="acme", repo="api") +print(hit["context"]) +``` + +The same `MemoryService` backs the dashboard and the MCP server. The package root also +intentionally exposes the low-level engine facade (`MemoryEngine`, `create_memory_engine`) +for advanced composition, while `MemoryService` remains the high-level service API. + +New writes support `session`, `repo`, and `workspace` visibility. `scope="user"` is reserved and +rejected until records carry an immutable owner identity; it must not be treated as private +per-person memory. Historical user-scope rows remain workspace-bound for compatibility. + +After an upgrade, `stats()` reports prompt-eligibility counts and active embedding-space +coverage. Zero-result recall identifies a review-gated scope instead of silently looking empty, +and `engraphis-cli review list|approve` provides a dry-run-first local bulk workflow. Embedding +model changes trigger a guarded rebuild; vector recall stays disabled until every stored vector +matches the new fingerprint. See [recall recovery](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RECALL_RECOVERY.md). + +Agent hosts can avoid retrieval when their existing history already fits: + +```python +decision = mem.adaptive_context( + "what should the agent do next?", + current_history, + workspace="acme", + repo="api", + max_context_tokens=8_192, + retrieval_token_budget=1_024, +) +prompt_context = decision["context"] +``` + +The decision is `history_bypass` when the history fits, `retrieval` when compact evidence is +strong, and `history_fallback` when weak retrieval should widen back to recent raw history. + +For an agent prompt, prefer `engraphis_recall_context`: it returns one hard-budget packed +`context` plus compact `sources`, deterministic `usage` accounting (`budget_tokens`, `context_tokens`, +`source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and +`token_counter`), and optional diagnostics. Accounting is exact for the named counter; inject the +reader's tokenizer when reader-model token parity is required. `engraphis_recall` remains the compatible full-recall +surface; use `response_mode="compact"` when the packed context is enough and full memory bodies +would duplicate it. For advanced query-planning configuration, see the +[architecture guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md#query-planning). + +Benchmark-driven alternatives are opt-in: `packing_mode="coverage"` keeps complete evidence +units from more source memories, while `retrieval_recipe="conversation"` and +`retrieval_recipe="long_session"` select the measured depth/budget starting points. The +historical `legacy`/`default` settings remain unchanged. For a value that must survive a file +edit or tool call exactly, Smart and Classic `engraphis_remember` and the Python/service write +APIs accept source-bound `exact_value` plus its `exact_value_type`. MCP remember requires a +unique occurrence; Python/service writes can select a repeated occurrence with `exact_value_span`. +Packed binding metadata requires the complete memory source, preserving conditions in any +language. Boundary whitespace outside the bound value may be trimmed. Coverage withholds a +bound group that cannot fit; legacy keeps its selected text but omits the incomplete binding. +Corrections and content revisions clear the old binding when content changes; +pass `exact_value` to explicitly bind the replacement, with `exact_value_span=[start,end]` +for a repeated occurrence, or `clear_exact_value=true` to remove a binding. Unchanged content +and title-only revisions preserve valid bindings. History preserves the original record. +MCP response trimming removes binding metadata whenever its supporting context is omitted. + +For bi-temporal reads, `valid_at` selects what was true at a Unix timestamp and `known_at` selects +what Engraphis had learned then. `as_of` remains a compatibility alias for `valid_at`; supplying +both is allowed only when they match. + +For a mutable claim, pass a stable `subject_key` and optional `claim_kind`, such as +`subject_key="api.rate_limit", claim_kind="configured_value"`. Offline conflict resolution +deterministically adds, reinforces, relates, or supersedes records while preserving temporal +history; it does not need an LLM. Matching claim identities let it supersede substantially +reworded mutable facts. Without them, the dependency-free lexical embedder cannot reliably infer +that a paraphrase is a contradiction, so keep both records or use an explicit `correct` operation. + +--- + +## Govern memories without losing history + +Engraphis separates automatic write resolution from explicit human governance: + +| Operation | Use it when | What happens to history | +|---|---|---| +| `remember` | Adding or restating one fact | Adds, reinforces, safely supersedes, or relates an uncertain neighbor | +| `correct` | Replacing one known-wrong memory | Closes the old validity window and links the replacement | +| `promote` | A narrow learning now applies more broadly | Writes a wider-scope successor and closes/links the source instead of editing scope in place | +| `merge` | Combining two or more overlapping memories | Retires every source and creates one memory that supersedes all of them | +| `retire` | Removing a memory from live recall | Bi-temporally closes it; the audit/history record remains | +| `consolidate` | Distilling recurring episodic memories automatically | Creates linked semantic digests; source episodes remain live | + +Manual N→1 merge is available through `MemoryService.merge()` and `POST /api/merge`: + +```python +a = mem.remember("Deploys happen Friday at 3pm.", workspace="acme") +b = mem.remember("We deploy Fridays around 15:00.", workspace="acme") + +merged = mem.merge( + [a["id"], b["id"]], + "Deploys ship every Friday at approximately 15:00.", + workspace="acme", + reason="deduplicate the deployment schedule", +) +print(merged["compaction"]) +``` + +`retire` is intentionally not deletion: it preserves temporal history, FTS, and vector +evidence for historical reads. If a credential was captured, new writes are blocked before +storage; for a legacy leak use the explicitly destructive `MemoryService.secure_erase()` or +`POST /api/secure-erase`/`engraphis_secure_erase`. That flow removes the one memory and local +FTS/vector-index and derived graph/link rows, runs SQLite secure-delete, WAL checkpoint, and +VACUUM, and scans recognised local SQLite recovery backups. It cannot erase exports, filesystem +snapshots, remote peers, unknown backups, or information a running/compromised agent already +read; rotate the credential. See [secure-erasure limits](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SECURE_ERASURE.md). `forget` +remains a deprecated compatibility alias for `retire`. + +All sources must belong to the named workspace. The result inherits the strictest source +sensitivity, remains untrusted if any source was untrusted, and stays pinned if any source was +pinned. The full multi-predecessor chain remains visible through inspection, Why, and Timeline. + +--- + +## Free forever vs. hosted plans + +The core engine, local dashboard, MCP server, and manual consolidation are Apache-2.0 and free. +**Pro and Team are services** that provide optional access to the official hosted service; its +control-plane, billing, relay, compute, and Team identity modules live in a private repository. +They do not limit the local core. See +[hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), [licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for service boundaries, lifecycle, and pricing. + +[Subscribe to Pro](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_pricing#billing) +to support the project and add hosted services. + +[Compare hosted plans](https://api.engraphis.com/account?plan=pro&interval=monthly&utm_source=engraphis&utm_medium=docs&utm_campaign=pro_conversion&utm_content=readme_intro#billing) +when you are ready to evaluate the service boundary and billing options. + +| | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | +|---|---|---|---| +| Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | +| Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | +| Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | +| Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | +| Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | +| Hosted Cloud Sync | | ✓ | ✓ | +| Hosted Analytics | | ✓ | ✓ | +| Hosted Auto Consolidation + retention policy | | ✓ | ✓ | +| Hosted Auto Dreaming + managed proposals | | ✓ | ✓ | +| Priority support | | ✓ | ✓ | +| Hosted multi-user dashboard: invitations, logins, roles, seat management | | | ✓ | +| Hosted Team audit log + CSV export | | | ✓ | +| 72-hour pending invitations (resend/revoke) | | | ✓ | +| Scoped, expiring per-user agent and sync tokens | | | ✓ | + +--- + +## MCP tools + +Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility +server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. +The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for +the full inventory and parameters. + +--- + +## Graphs and privacy-safe receipts + +Memory, entity, and code relationships live in one local graph. Engraphis also provides +content-free operation receipts for inspectable audit evidence. See the +[architecture](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md), [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md), and +[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) for the data model, tools, and guarantees. + +--- + +## Cloud sync + +Cloud Sync is an optional hosted Pro/Team service. The public package includes the customer client +and deterministic merge implementation; hosted relay and account operations are separate. See +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for setup, encryption, merge behavior, and the local folder exchange. + +The public package ships the same sync client as a console script and CLI verb: +`engraphis-sync` (installed entry point), `engraphis sync ...`, and +`python -m scripts.sync --status` for local-only state without network activity. See +[Cloud Sync](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SYNC.md) for +flags, encryption, merge behavior, and the local folder exchange. + +--- + +## Security and trust boundaries + +Engraphis is local-first and binds to loopback by default. Read the +[security policy](https://github.com/Coding-Dev-Tools/engraphis/blob/main/SECURITY.md) before remote deployment or integrating external resources; it +covers supported versions, data protections, threat model, and vulnerability reporting. + +--- + +## Encryption at rest + +Set `ENGRAPHIS_DB_KEY` (or `ENGRAPHIS_DB_KEY_FILE`) and install the extra: + +```bash +pip install "engraphis[encryption]" +``` + +The entire main memory database file is transparently encrypted with AES-256 via SQLCipher; +full-text search, the graph, and every query keep working unchanged. Customer authentication +and managed-service state use their respective deployment protections. When a key is set for the +main database, Engraphis **fails closed with an error** rather than silently falling back to +plaintext. Generate a strong key: + +```bash +python -c "import secrets; print(secrets.token_hex(32))" +``` + +When using `ENGRAPHIS_DB_KEY_FILE`, provision a regular secret file readable only by the +service identity. Engraphis rejects links, reparse points, hard links, malformed text, and +oversized key files rather than following an unexpected filesystem object. + +> An existing plaintext database cannot be opened with a key: migrate it (dump → import +> into a fresh keyed DB). See `.env.example` for all encryption options. + +--- + +## Import files and folders + +The dependency-free universal core scans Markdown, plain text, RST, HTML, JSON/JSONL, CSV/TSV, +configuration/XML text, source code, RTF, DOCX/ODT, XLSX/ODS, PPTX/ODP, and EPUB into the normal +v2 memory path. Installed local resource adapters add PDF text, image OCR, and explicitly +local-model audio/video transcription. +Start with a zero-write +preview, then confirm the same source collection explicitly: + +```bash +engraphis import documents /path/to/collection --workspace acme --dry-run +engraphis import documents /path/to/collection --workspace acme --repo product --yes +``` + +The CLI never downloads an embedding model during import. Use a model that is already cached, +set `ENGRAPHIS_EMBED_MODEL=local:/absolute/model/path`, or explicitly set +`ENGRAPHIS_EMBED_MODEL` to an empty value to use dependency-free deterministic hashing in +lexical degraded mode. + +The dashboard’s **Import local documents** flow offers the same preview, target scope, source +label, conflict policy, cancellation, and resumable progress. Re-imports are idempotent, +preserve temporal history, and report source removals without hard-deleting memories. Obsidian +remains the rich Markdown adapter for frontmatter, aliases, wikilinks, and attachment references: + +```bash +engraphis import obsidian /path/to/vault --workspace acme --dry-run +``` + +See the [document import guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/DOCUMENT_IMPORT.md) +for supported formats, source safety, resume and conflict behavior, optional adapters, and +limitations; see the [Obsidian adapter guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/OBSIDIAN_IMPORT.md) +for Markdown-specific behavior. + +--- + +## Consolidation and automation + +Manual consolidation is free, local, and dry-run by default; use the dashboard, SDK, CLI, or +MCP. Hosted Pro and Team automation is optional managed compute that produces reviewable +proposals rather than silently changing local data. See [hosted plans](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/HOSTED_PLANS.md), +[licensing](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md), and the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) for scope and use. + +--- + +## Configuration + +Values come from the process environment. Engraphis also loads the owner-private +`~/.engraphis/config.env`; `ENGRAPHIS_ENV_FILE` can select another absolute owner-private regular +file. It never searches the working directory for `.env`, and explicit process variables win. + +| Env Var | Default | Description | +|---------|---------|-------------| +| `ENGRAPHIS_ENV_FILE` | `~/.engraphis/config.env` | Optional trusted config leaf selected before trusted values load. Its bounded dependency-free parser performs no interpolation. An explicit value must be an absolute path to an owner-private regular file; arbitrary working-directory `.env` files are ignored. | +| `ENGRAPHIS_DB_PATH` | Source: `/engraphis.db`; installed: platform user-data directory | SQLite database file. Installed defaults are `%LOCALAPPDATA%\engraphis\engraphis.db` (Windows), `~/Library/Application Support/engraphis/engraphis.db` (macOS), and `$XDG_DATA_HOME/engraphis/engraphis.db` or `~/.local/share/engraphis/engraphis.db` (Linux). The environment variable overrides every default; a relative value is resolved from the trusted `~/.engraphis/config.env` directory so launch CWD cannot select a different workspace database. | +| `ENGRAPHIS_SQLITE_DURABILITY` | `durable` | Writable file databases use WAL and FULL commit synchronization. Explicit `balanced` selects NORMAL, which can lose recent acknowledged writes after OS/power failure. Effective settings appear in diagnostics; see [SQLite durability](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/SQLITE_DURABILITY.md). | +| `ENGRAPHIS_HOST` | `127.0.0.1` | Server bind address | +| `ENGRAPHIS_PORT` | `8700` | Dashboard port. A platform-injected `$PORT` (Railway/Fly/Heroku) takes precedence over this value for the dashboard bind; Compose pins both to `ENGRAPHIS_COMPOSE_PORT` so the mapping stays in sync | +| `ENGRAPHIS_SERVICE_MODE` | `customer` | The public package supports only `customer`; hosted vendor, relay, compute, and worker roles are not distributed here | +| `ENGRAPHIS_API_TOKEN` | Not set | Optional bearer credential for this single-user local customer node; never reuse a hosted credential | +| `ENGRAPHIS_CORS_ORIGINS` | loopback on `ENGRAPHIS_PORT` | Comma-separated REST CORS allow-list; defaults to `127.0.0.1` and `localhost` on the configured port | +| `ENGRAPHIS_INDEX_ROOTS` | Working, home, and temporary directories | Optional path-separator-delimited absolute-path allow-list that replaces the default roots accepted by local code indexing | +| `ENGRAPHIS_HTTP_INDEX_ROOT` | First `ENGRAPHIS_INDEX_ROOTS` entry, or current directory | Single root for dashboard and REST `POST /api/code/index`; submitted paths resolve beneath it. An explicit root (or fallback entry) must be absolute; an explicit HTTP root is included in the engine-approved set. MCP and CLI indexing continue to use `ENGRAPHIS_INDEX_ROOTS`. | +| `ENGRAPHIS_DB_KEY` | Not set | Encrypt the database at rest (SQLCipher). Or use `ENGRAPHIS_DB_KEY_FILE` | +| `ENGRAPHIS_EMBED_MODEL` | `sentence-transformers/all-MiniLM-L6-v2` | sentence-transformers model | +| `ENGRAPHIS_MCP_PRELOAD_EMBEDDER` | `auto` | Standalone MCP launchers import optional semantic dependencies on the launcher thread on Windows before serving requests. Set `0` to disable or `1` to enable on any platform; model loading and backend fallback policy remain unchanged. | +| `ENGRAPHIS_EMBED_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the embedding model. Loaded Hub commits or local artifact manifests identify persistent vector spaces; unresolved mutable identities keep vector recall fail-closed. | +| `ENGRAPHIS_RERANK_MODEL` | Not set | Optional sentence-transformers cross-encoder reranker | +| `ENGRAPHIS_RERANK_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the reranker | +| `ENGRAPHIS_REQUIRE_IMMUTABLE_MODELS` | `false` | When enabled, require a 40-hex commit before loading remote embedding models, rerankers, or chunk tokenizers; `local:` selectors and filesystem paths remain permitted | +| `ENGRAPHIS_REQUIRE_EXACT_BACKENDS` | `false` | When enabled, dashboard and standalone MCP startup fails if a configured optional backend is unavailable instead of silently falling back | +| `ENGRAPHIS_EXTRACTOR` | `none` | `none` = verbatim; `chunk` = offline structure-aware chunks; `llm` = free-form LLM facts; `llm_structured` = schema-validated facts + graph metadata | +| `ENGRAPHIS_CHUNK_TOKENIZER_MODEL` | Not set | Optional Hugging Face tokenizer used to enforce chunk budgets with the downstream reader's real tokenization; requires the optional `transformers` package | +| `ENGRAPHIS_CHUNK_TOKENIZER_REVISION` | Not set | Optional immutable tokenizer/model revision recorded in the chunk-counter identity; pin this for reproducible benchmark artifacts | +| `ENGRAPHIS_GRAPH_EXTRACTOR` | `regex` | `regex` = offline heuristic NER; `none` = disable heuristic text extraction (validated `llm_structured` metadata still feeds the graph) | +| `ENGRAPHIS_RETENTION_SUPERVISOR` | `none` | `none` = deterministic only; `llm` = sends a bounded excerpt to the configured provider for advisory ephemeral/normal/critical classification | +| `ENGRAPHIS_ALLOW_AUTOMATIC_CRITICAL_RETENTION` | `false` | Opt in only when an LLM supervisor may automatically assign the long-lived `critical` class; explicit user-selected critical retention is unaffected | +| `ENGRAPHIS_WHISPER_MODEL` | Not set | Enables local faster-whisper audio/video transcription | +| `ENGRAPHIS_POSTGRES_DSN` | Not set | CLI-only PostgreSQL source; used for the connection and never stored | +| `ENGRAPHIS_POSTGRES_CONNECT_TIMEOUT` | `10` | PostgreSQL introspection connection timeout in seconds (bounded to 1--120) | +| `ENGRAPHIS_POSTGRES_STATEMENT_TIMEOUT_MS` | `30000` | Per-introspection PostgreSQL statement timeout in milliseconds (bounded to 1--300000) | +| `ENGRAPHIS_GRAPH_TOKEN` | Not set | Bearer token for `engraphis-graph-server`; required off-loopback | +| `ENGRAPHIS_GRAPH_HOST` / `ENGRAPHIS_GRAPH_PORT` | `127.0.0.1` / `8720` | Read-only graph/recall server bind address | +| `ENGRAPHIS_LLM_PROVIDER` | `openai` | `openai \| anthropic \| google \| openrouter \| custom` | +| `ENGRAPHIS_LLM_MODEL` | `gpt-4o-mini` | Model name (provider-specific) | +| `ENGRAPHIS_LLM_API_KEY` | Not set | API key for chat/synthesis, `llm` / `llm_structured` extraction, and structured consolidation | +| `ENGRAPHIS_LLM_BASE_URL` | Not set | Base URL for openrouter / custom OpenAI-compatible endpoints | +| `ENGRAPHIS_LLM_AUTO_EXTRACT` | `0` | Opt in to switching the running engine to `llm_structured` after a successful live connection test; the dashboard's extraction Off button persists `0`, and its On button restores `1` | +| `ENGRAPHIS_FORWARDED_ALLOW_IPS` | *(none)* | Proxies trusted for forwarded client/TLS headers (`*` only when the service is reachable exclusively through that proxy) | +| `ENGRAPHIS_LOCAL_TRUSTED_PEERS` | *(none)* | Exact peers/CIDRs treated as local without forwarding headers; use only for trusted Docker/LAN peers, never public deployments | +| `ENGRAPHIS_UPDATE_CACHE` | `86400` | Update-check cache TTL in seconds, bounded to `1..31622400`; this is never a cache-file path | +| `ENGRAPHIS_UPDATE_CHECK` | Off | Opt-in release reminder surfaced in the dashboard, server startup log, and MCP. Update checks run only when this is set to an affirmative value; `0` keeps them off. | +| `ENGRAPHIS_UPDATE_URL` | Not set | Overrides the release-check source URL; the outbound client accepts HTTPS and rejects private/reserved destinations. | +| `ENGRAPHIS_CLOUD_CONTROL_URL` | hosted default | Official entitlement, organization, and credential control API. A saved rotating credential stays bound to the control endpoint recorded for its family; reconnect to change it. | +| `ENGRAPHIS_CLOUD_COMPUTE_URL` | hosted default | Official Analytics and managed-automation API. A saved rotating credential stays bound to its recorded compute endpoint; reconnect to change it. | +| `ENGRAPHIS_CLOUD_ORGANIZATION_ID` | Not set | Hosted organization bound to this customer session | +| `ENGRAPHIS_CLOUD_REFRESH_CREDENTIAL` | Not set | Bootstrap-only rotating hosted credential; after first use the owner-only cloud session replacement takes precedence | +| `ENGRAPHIS_CLOUD_TOKEN_SUBJECT` | `member` | Subject fixed during hosted bootstrap (`device` or `member`); set explicitly with an environment-only refresh credential | +| `ENGRAPHIS_CLOUD_ACCESS_TOKEN` | Not set | Optional short-lived access token for ephemeral jobs | +| `ENGRAPHIS_MANAGED_COMPUTE_CONSENT` | *(unset)* | Deny-only operator override: `0` pauses readable managed processing. A truthy value cannot grant approval. Each workspace requires explicit confirmation in Manage → Settings; encrypted sync is separate | + +The optional cross-encoder reranker is model- and hardware-dependent. Treat its quality and +latency as deployment-specific until a versioned model identity, exact configuration, and +reproducible evaluation artifact are available for the comparison being reported. + +See `.env.example` for the full variable inventory. Supply those values through the process +environment or the trusted config file above; copying it to an arbitrary `./.env` does not make +Engraphis load it. + +> **Ablation fixture:** `python -m eval.ablation` is an offline deterministic check that prints +> `recall@5` comparisons for vector-only and hybrid retrieval, multi-hop graph arms, and +> retrieval policies, plus ordinary-recall age and semantic-confidence checks. It does not +> produce MRR, hit@5, or ms/query results. Use `python -m eval.reinforcement` for retention +> trajectories, and register evidence before quoting any benchmark results. + +--- + +## Project structure + +``` +engraphis/ +├── engraphis/ +│ ├── core/ # v2 engine: interfaces, store, recall, scoring, schema, sync +│ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption +│ ├── factory.py # outer v2 composition root; selects and injects concrete backends +│ ├── service.py # validated MemoryService facade +│ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server +│ ├── dashboard_app.py # dashboard WebUI (FastAPI) +│ ├── dashboard_assets/ # primary Ledger interface + graph engine +│ ├── classic_assets/ # selectable full operator dashboard backup +│ ├── read_only_api.py # token-protected recall/repository-graph HTTP surface +│ ├── hosted_client.py # hosted URLs, plan labels, and endpoint validation only +│ ├── licensing.py # compatibility facade for hosted presentation metadata +│ ├── cloud_session.py # rotating hosted customer-session client +│ ├── cloud_features.py # consented managed-feature protocol client +│ ├── config.py / app.py # env settings / REST server +│ └── static/ # compatibility dashboard asset paths +├── eval/ # offline retrieval eval harness + datasets +├── tests/ # offline-first pytest suite and release/security contracts +├── scripts/ # dashboard, server, graph, CLI, connect, update, consolidation, sync +├── docs/ # product, API, hosting, sync, and provider guides +├── Dockerfile / docker-compose.yml +└── pyproject.toml +``` + +New capability belongs in the v2 path (`engraphis/core/`, `engraphis/backends/`, and +`MemoryService`) behind the interfaces in `core/interfaces.py`. Algorithm modules in `core/` +remain backend-agnostic; `engraphis/factory.py` is the outer composition root used by +`engraphis.create_memory_engine()` and the compatibility `MemoryEngine.create()` entry point, then +injects the selected collaborators into `core/engine.py`. The flat-namespace v1 server under +`engraphis/app.py`, `routes/`, `stores/`, and `engines/` remains a +compatibility/reference surface; `engraphis-dashboard`, the MCP server, and the Python quickstart +above use v2. + +--- + +## License + +Apache-2.0. See [LICENSE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/LICENSE) and [NOTICE](https://github.com/Coding-Dev-Tools/engraphis/blob/main/NOTICE). "Engraphis" is a trademark of the +Engraphis project; the license does not grant trademark rights. Code already distributed +under Apache-2.0 keeps that grant; later releases cannot retroactively withdraw it. The +official hosted control plane, its production credentials and records, managed operations, +support, and future separately delivered commercial modules are outside the public source +grant. See [`docs/LICENSING.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/LICENSING.md) for the complete boundary. + +### Reliability implementation candidate + +The current source uses schema 18 for durable, content-free vector-index repair and +atomic memory-command receipts. Upgrades use the existing verified-backup migration path. +The [rework execution register](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/REWORK_EXECUTION.md) records the current findings, +compatibility decisions, acceptance evidence, remaining work and recovery procedure. +See [the reliability program](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/RELIABILITY_PROGRAM.md) for exact implementation, +validation, migration and release boundaries. Managed processing now requires explicit +workspace approval in Settings. Existing installations start with readable +uploads paused until confirmed; connecting an account does not grant approval. + +For setup diagnostics use `engraphis-init --check --json`. New configurations get an +owner-private local API token. Existing configs are preserved. Record selected install +capabilities with `engraphis-init --extras server,mcp` or `--extras none`; future updates +preserve that choice. `ENGRAPHIS_UPDATE_EXTRAS` remains an explicit override. diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index 2d8c73d2..f4b1bc9d 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -1,1282 +1,1282 @@ -import hashlib -import json -import re -import struct -from copy import deepcopy -from pathlib import Path -from xml.etree import ElementTree - -import pytest - -from eval import metrics -from eval import grounded as grounded_eval -from eval.benchmark import ( - SCHEMA, - CANONICAL_TOKEN_BUDGETS, - LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE, - canonical_benchmark_config, - count_tokens, - fixed_budget_curve, - paired_bootstrap_ci, - redact_command, - redact_public_record, - main, - question_record, - report_envelope, - stratified_bootstrap_ci, - validate_report, - write_canonical_artifact, -) -from eval.chunking_eval import compare as compare_chunking, load as load_chunking -from eval.harness import load_dataset as load_performance_dataset -from eval.performance import run as run_performance - - -ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v102.json" -PUBLIC_OFFLINE_SHA = "aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1" - - -@pytest.fixture(scope="module") -def offline_release_evidence(): - """Run the exact small offline commands that back the public documentation.""" - longdoc = ROOT / "eval" / "datasets" / "longdoc.jsonl" - codemem = ROOT / "eval" / "datasets" / "codemem.jsonl" - return { - "chunking": compare_chunking( - load_chunking(str(longdoc)), k=5, embed_model=None - ), - "performance": run_performance( - load_performance_dataset(str(codemem)), k=5, iterations=10 - ), - "grounded": grounded_eval.run(), - } - - -def test_public_facing_docs_do_not_use_em_dashes(): - """Published prose uses straightforward punctuation that renders consistently.""" - public_files = [ - *(ROOT / name for name in ("README.md", "BENCHMARKS.md", "CHANGELOG.md", "SECURITY.md")), - *(ROOT / "docs").rglob("*.md"), - *(ROOT / "docs" / "images").glob("*.svg"), - *(ROOT / "skills" / "engraphis-memory").rglob("*.md"), - ] - offenders = [ - path.relative_to(ROOT).as_posix() - for path in public_files - if "—" in path.read_text(encoding="utf-8") - ] - - assert not offenders, f"Public-facing files still contain em dashes: {offenders}" - - -class CharacterTokenizer: - def encode(self, text): - return list(text) - - -def test_public_record_redaction_omits_raw_payloads_and_content_fingerprints(): - record = redact_public_record({ - "question_id": "q1", - "query": "private query", - "answer_variants": ["private answer"], - "model_output": "private completion", - "context": "private context", - "retrieved_context": "private retrieved context", - "prompt": "private prompt", - "input": "private input", - "conversation": ["private conversation"], - "history": ["private history"], - "tool_calls": [{"arguments": "private tool input"}], - }) - - assert record == {"question_id": "q1"} - - - -def _committed_evidence() -> dict: - """Load the COMMITTED registry artifact — the publication source of truth that the - README/BENCHMARKS/SVG prose was written from. - - Prose tests must interpolate values from this artifact, not from a fresh evaluator - run. Timed latency aggregates are machine-dependent, while the context, payload, - question-count, and quality aggregates used by the publication contract are - deterministic and compared exactly in ``test_public_numeric_evidence_registry_is_complete_and_live``. - """ - artifact = json.loads( - (ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT).read_text( - encoding="utf-8" - ) - ) - return { - "chunking": artifact["runs"][0]["result"], - "performance": artifact["runs"][1]["result"], - "grounded": artifact["runs"][2]["result"], - } - -def test_readme_distinguishes_every_registered_token_context_measurement(): - """Public token-efficiency copy preserves each registered metric boundary. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so prose cannot drift from the evidence it cites. - """ - committed = _committed_evidence() - readme = (ROOT / "README.md").read_text(encoding="utf-8") - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - context_full = performance["full_serialized_payload_tokens"] - context_compact = performance["compact_serialized_payload_tokens"] - payload_samples = performance["questions"] - timed_recalls = performance["timed_recalls"] - - for evidence in ( - "## Measured token and context savings", - "See benchmark details and reproduce the results", - "### Measurement details and reproducibility", - f"{whole['mean_context_tokens']:.1f}** tokens → structure-aware chunks: " - f"**{chunked['mean_context_tokens']:.1f}** tokens", - f"{chunking['context_reduction_pct']:.1f}% lower", - f"{whole['mean_evidence_tokens']:.1f}** tokens → chunks: " - f"**{chunked['mean_evidence_tokens']:.1f}** tokens", - "73.9% lower", - f"{context_full:,}** `engraphis.regex.v1` tokens → " - f"compact proxy: **{context_compact:,}** tokens", - f"{performance['saved_serialized_payload_tokens']:,} proxy tokens avoided", - f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", - f"{payload_samples} payload samples; {timed_recalls} timed recalls", - f"1,500** tokens; observed mean: **{performance['mean_context_tokens']:.2f}**; " - f"observed maximum: **{performance['max_context_tokens']}**", - "does **not** serialize the MCP envelope", - "not an MCP transport response", - "must not be added together", - "not a storage-reduction claim", - PUBLIC_OFFLINE_ARTIFACT, - "offline-chunking", - "offline-performance", - PUBLIC_OFFLINE_SHA, - "There is no universal memory-count", - "python -m eval.vector_scale", - 'vector_backend="sqlite-vec"', - ): - assert evidence in readme - - for unsupported in ( - "49,915,394", - "891,857", - "98.2133%", - "Repeated-memory consolidation fixture", - "1,883** total agent-facing tokens", - "3.1% higher", - ): - assert unsupported not in readme - - - -def test_public_docs_scope_external_numbers_and_withhold_historical_claims(): - """The offline registry is scoped while separate diagnostics remain artifact-bound.""" - readme = (ROOT / "README.md").read_text(encoding="utf-8") - benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - expansion = (ROOT / "docs" / "BENCHMARK_EXPANSION_RESULTS.md").read_text( - encoding="utf-8" - ) - additional = (ROOT / "docs" / "ADDITIONAL_BENCHMARK_DIAGNOSTICS.md").read_text( - encoding="utf-8" - ) - security = (ROOT / "SECURITY.md").read_text(encoding="utf-8") - readme_normalized = " ".join(readme.split()) - benchmarks_normalized = " ".join(benchmarks.split()) - additional_normalized = " ".join(additional.split()) - - assert "See benchmark details and reproduce the results" in readme - assert "offline fixture registry intentionally excludes external" in readme_normalized - assert "Completed retrieval-only diagnostics are published separately" in readme_normalized - assert "absence from this registry" in benchmarks_normalized - assert "LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts" in benchmarks_normalized - assert "Mem2ActBench's declared small retrieval diagnostic is complete" in benchmarks_normalized - assert "LongMemEval 4,096-token context experiment | COMPLETE" in expansion - assert "+24.03 percentage points" in expansion - assert "source-preparation metadata" in expansion - assert "public source lock records 20 preparation exclusions" in additional_normalized - assert "Exact vector scale envelope" in benchmarks - assert "python -m eval.redteam_poisoning" in security - - for stale in ( - "model-dependent, consolidation, productivity, and latency results remain unpublished", - "private diagnostic; it is not an official benchmark-harness or public evidence artifact", - "withholds their case counts, retrieval scores", - ): - assert stale not in readme - assert stale not in benchmarks - - for unsupported in ( - "49,915,394", - "891,857", - "98.2133%", - "0.6045", - "0.6625", - "0.1259", - "0.5100", - "20.666 ms", - ): - assert unsupported not in readme - assert unsupported not in benchmarks - - for supporting_detail in ( - "### Choose a vector backend for your corpus", - "python -m eval.redteam_poisoning", - "[local and hosted plans]", - ): - assert supporting_detail not in readme - - -def test_readme_makes_agent_benefits_and_visual_evidence_scannable(): - """The public overview and its visual evidence must stay wired to real assets.""" - readme = (ROOT / "README.md").read_text(encoding="utf-8") - - for evidence in ( - "## What Engraphis gives an agent", - "Remember a project across sessions", - "Avoid confident guesses", - "Avoid dragging the whole project into every prompt", - "docs/images/knowledge-graph.png", - "docs/images/context-efficiency.svg", - "Less repeated history means more room for the task, tools, and useful evidence", - ): - assert evidence in readme - - for removed in ( - "### See the behavior in reproducible fixtures", - "docs/images/evidence-backed-agent-examples.svg", - "Run `python -m eval.chunking_eval` and `python -m eval.grounded`", - ): - assert removed not in readme - - for filename in ( - "engraphis-benefit-flow.svg", - "engraphis-benefit-flow.png", - "context-efficiency.svg", - "context-efficiency.png", - "evidence-backed-agent-examples.svg", - "evidence-backed-agent-examples.png", - ): - assert (ROOT / "docs" / "images" / filename).is_file() - - -def test_readme_visual_pngs_match_their_svg_canvas(): - """README image exports must not carry hidden screenshot padding.""" - image_dir = ROOT / "docs" / "images" - - for stem in ( - "engraphis-benefit-flow", - "evidence-backed-agent-examples", - "context-efficiency", - ): - svg = ElementTree.parse(image_dir / f"{stem}.svg").getroot() - expected = (int(svg.attrib["width"]), int(svg.attrib["height"])) - png_header = (image_dir / f"{stem}.png").read_bytes()[:24] - - assert png_header[:8] == b"\x89PNG\r\n\x1a\n" - assert struct.unpack(">II", png_header[16:24]) == expected - - -def test_example_visual_uses_the_checked_in_offline_fixture_results( - offline_release_evidence, -): - """The examples stay tied to executable fixtures and their public artifact.""" - chunking = offline_release_evidence["chunking"] - whole = chunking["reports"]["whole"] - chunked = chunking["reports"]["chunked"] - grounded = offline_release_evidence["grounded"] - visual = ( - ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg" - ).read_text(encoding="utf-8") - - assert chunking["context_reduction_pct"] == 71.1 - result = ( - f"{whole['mean_context_tokens']:.1f} → " - f"{chunked['mean_context_tokens']:.1f} tokens" - ) - assert result in visual - assert grounded == { - "answer_rate": 1.0, - "abstain_rate": 1.0, - "accuracy": 1.0, - "grounded_hits": 5, - "abstain_hits": 6, - "quarantine_hits": 1, - "n_quarantine": 1, - "n_answerable": 5, - "n_unanswerable": 6, - } - assert "5/5 answerable questions" in visual - assert "6/6 off-topic questions" in visual - assert PUBLIC_OFFLINE_SHA in visual - - -def test_context_savings_visual_uses_only_registered_measurements(): - """The headline chart contains only registered values and explicit scope labels. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so chart text cannot drift from the evidence it cites. - """ - visual = (ROOT / "docs" / "images" / "context-efficiency.svg").read_text( - encoding="utf-8" - ) - committed = _committed_evidence() - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - context_full = performance["full_serialized_payload_tokens"] - context_compact = performance["compact_serialized_payload_tokens"] - payload_samples = performance["questions"] - timed_recalls = performance["timed_recalls"] - - for evidence in ( - "Measured context and retrieval boundaries", - "CONTEXT BOUNDARIES", - "QUALITY SCOPES", - "PENDING EVALUATION TRACKS", - "Whole documents", - f"{whole['mean_context_tokens']:.1f} tokens", - "Structure-aware chunks", - f"{chunked['mean_context_tokens']:.1f} tokens", - f"{chunking['context_reduction_pct']:.1f}% lower", - "Smallest evidence:", - "Serialized JSON-shape payload proxy", - f"{payload_samples:,} payload samples / {timed_recalls:,} timed recalls", - "Full JSON-shape proxy", - f"{context_full:,} tokens", - "Compact JSON-shape proxy", - f"{context_compact:,} tokens", - f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", - "Retrieved candidate quality", - "Packed context", - "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000", - "MCP transport not measured", - "JSON proxy only", - "Pinned LoCoMo and LongMemEval artifacts with answer evaluators", - ): - assert evidence in visual - - svg = ElementTree.fromstring(visual) - namespace = "{http://www.w3.org/2000/svg}" - # Numeric source text must be rendered by SVG, not hidden beside a stale bitmap. - assert not svg.findall(f".//{namespace}image") - visible_text = {node.text for node in svg.iter(f"{namespace}text")} - assert f"{context_compact:,} tokens" in visible_text - assert f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower" in visible_text - assert f"Mean {performance['mean_context_tokens']:.2f} / max {performance['max_context_tokens']:,} tokens" in visual - assert "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000" in visual - assert "MCP transport not measured" in visible_text - - for unsupported in ( - "Public evidence is checksum-bound", - PUBLIC_OFFLINE_ARTIFACT, - "No external or model-dependent number is published without the same evidence", - "Evidence pending", - "No external or model-dependent number is published", - "808.8", - "218.4", - "17,172", - "7,663", - "Repeated memories · 230 tokens", - "47.8% less", - "53× more evidence", - "97.72% less total", - "87.7 average · 106 max", - ): - assert unsupported not in visual - - text_sizes = { - float(value) - for value in re.findall(r'font-size="([^"]+)"', visual) - } - assert {12.5, 13.2, 14.3, 17.4, 18.7, 20.0, 24.0, 33.0} <= text_sizes - - -def test_public_numeric_evidence_registry_is_complete_and_live( - offline_release_evidence, -): - """Every retained public aggregate resolves to one checksum-bound live run.""" - artifact_path = ( - ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT - ) - sidecar_path = artifact_path.with_suffix(".json.sha256") - artifact_bytes = artifact_path.read_bytes() - artifact_sha = hashlib.sha256(artifact_bytes).hexdigest() - expected_sha = PUBLIC_OFFLINE_SHA - - assert artifact_sha == expected_sha - assert sidecar_path.read_text(encoding="ascii") == ( - f"{expected_sha} {artifact_path.name}\n" - ) - artifact = json.loads(artifact_bytes) - assert artifact["schema"] == "engraphis-public-offline-fixtures/v1" - assert not any(artifact["privacy"].values()) - - file_hashes = artifact["suite"]["files"] - assert file_hashes == { - path: hashlib.sha256((ROOT / path).read_bytes()).hexdigest() - for path in sorted(file_hashes) - } - suite_manifest = json.dumps( - file_hashes, sort_keys=True, separators=(",", ":") - ).encode() - assert hashlib.sha256(suite_manifest).hexdigest() == artifact["suite"]["digest"] - assert artifact["suite"]["digest"] in (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - - runs = {run["id"]: run for run in artifact["runs"]} - assert set(runs) == { - "offline-chunking", - "offline-performance", - "offline-grounded", - } - for run in runs.values(): - assert hashlib.sha256(run["command"].encode()).hexdigest() == run["config_digest"] - - chunking = offline_release_evidence["chunking"] - chunking_result = runs["offline-chunking"]["result"] - for mode in ("whole", "chunked"): - live = chunking["reports"][mode] - recorded = chunking_result[mode] - assert recorded["memories"] == live["memories_stored"] - assert recorded["recall_at_k"] == live["recall_at_k"] - assert recorded["mean_context_tokens"] == live["mean_context_tokens"] - assert recorded["mean_evidence_tokens"] == live["mean_evidence_tokens"] - assert recorded["max_stored_tokens"] == live["max_stored_tokens"] - assert chunking_result["context_reduction_pct"] == chunking["context_reduction_pct"] - - performance = offline_release_evidence["performance"] - performance_result = runs["offline-performance"]["result"] - assert performance_result["questions"] == performance["corpus"]["questions"] - assert performance_result["timed_recalls"] == performance["run"]["timed_recalls"] - assert performance_result["recall_at_k"] == performance["quality"]["recall_at_k"] - assert performance_result["hit_at_k"] == performance["quality"]["hit_at_k"] - assert ( - performance_result["answer_token_recall"] - == performance["quality"]["answer_token_recall"] - ) - - # These values are deterministic fixture aggregates, not wall-clock timing - # observations. Approximate comparisons would let serializer or count drift - # pass the publication contract unnoticed. - assert performance_result["mean_context_tokens"] == performance["context"]["mean_tokens"] - assert performance_result["max_context_tokens"] == performance["context"]["max_tokens"] - assert ( - performance_result["full_serialized_payload_tokens"] - == performance["context"]["full_serialized_payload_tokens"] - ) - assert ( - performance_result["compact_serialized_payload_tokens"] - == performance["context"]["compact_serialized_payload_tokens"] - ) - assert ( - performance_result["saved_serialized_payload_tokens"] - == performance["context"]["saved_serialized_payload_tokens"] - ) - assert ( - performance_result["serialized_payload_savings_ratio"] - == performance["context"]["serialized_payload_savings_ratio"] - ) - - grounded = offline_release_evidence["grounded"] - grounded_result = runs["offline-grounded"]["result"] - assert grounded_result == { - "answerable": grounded["n_answerable"], - "grounded": grounded["grounded_hits"], - "off_topic": grounded["n_unanswerable"], - "quarantined": grounded["n_quarantine"], - "abstained": grounded["abstain_hits"], - "quarantine_hits": grounded["quarantine_hits"], - "decision_accuracy": grounded["accuracy"], - } - - surfaces = ( - ROOT / "README.md", - ROOT / "BENCHMARKS.md", - ROOT / "docs" / "images" / "context-efficiency.svg", - ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg", - ) - for surface in surfaces: - assert expected_sha in surface.read_text(encoding="utf-8") - - claimed_ids = set( - re.findall( - r"offline-(?:chunking|performance|grounded)", - "\n".join(path.read_text(encoding="utf-8") for path in surfaces), - ) - ) - assert claimed_ids == set(runs) - - -def test_benchmark_guide_tracks_the_live_offline_evaluators(): - """Method prose must change whenever its executable offline evidence changes. - - Values are interpolated from the COMMITTED registry artifact — the publication - source of truth — so guide text cannot drift from the evidence it cites. - """ - benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") - normalized = " ".join(benchmarks.split()) - committed = _committed_evidence() - chunking = committed["chunking"] - whole = chunking["whole"] - chunked = chunking["chunked"] - performance = committed["performance"] - payload_samples = performance["questions"] - - for evidence in ( - f"falls from {whole['mean_context_tokens']:.1f} to " - f"{chunked['mean_context_tokens']:.1f} tokens", - f"{whole['mean_context_tokens'] - chunked['mean_context_tokens']:.1f} fewer, " - f"{chunking['context_reduction_pct']:.1f}% lower", - f"falls from {whole['mean_evidence_tokens']:.1f} to " - f"{chunked['mean_evidence_tokens']:.1f} tokens", - "Payload proxies are sampled once per question", - "not serialized MCP envelopes or transport responses", - f"{payload_samples} payload samples total **" - f"{performance['full_serialized_payload_tokens']:,}** full-proxy", - f"versus **{performance['compact_serialized_payload_tokens']:,}** compact-proxy tokens", - f"avoiding **{performance['saved_serialized_payload_tokens']:,}** proxy tokens", - f"**{100 * performance['serialized_payload_savings_ratio']:.2f}% lower**", - f"averages **{performance['mean_context_tokens']:.2f}** tokens and reaches " - f"**{performance['max_context_tokens']}**", - ): - assert evidence in normalized - - - -def _complete_canonical_report(dataset, config): - """Minimal but fully auditable canonical envelope for validator coverage.""" - profile = config["canonical_profile"] - tokenizer_identity = ( - f"{profile['reader']['model']}@{profile['reader']['revision']}" - ) - record = question_record( - "q1", category="state", context_tokens=3, latency_ms=1.25, - retrieved_ids=["support"], supporting_ids=["support"], - recall_at_1=1.0, recall_at_5=1.0, recall_at_10=1.0, - mrr_at_1=1.0, mrr_at_5=1.0, mrr_at_10=1.0, - ndcg_at_1=1.0, ndcg_at_5=1.0, ndcg_at_10=1.0, - usage={ - "budget_tokens": config.get("token_budget") or 3, - "context_tokens": 3, - "token_counter": tokenizer_identity, - }, - ) - record["context_token_method"] = "pinned_reader_content_tokenizer" - record["context_tokenizer_identity"] = tokenizer_identity - rank_metrics = { - f"{metric}_at_{depth}": 1.0 - for metric in ("recall", "mrr", "ndcg") - for depth in (1, 5, 10) - } - curve_record = { - "question_id": "q1", - "excluded": False, - "context_tokens": 3, - "context_token_method": "pinned_reader_content_tokenizer", - "context_tokenizer_identity": tokenizer_identity, - "retrieved_ids": ["support"], - "supporting_ids": ["support"], - **rank_metrics, - } - report = report_envelope( - suite="fixture", dataset_path=dataset, config=config, records=[record], - metrics={ - **rank_metrics, - "confidence_intervals": { - field: { - "point": 1.0, - "low": 1.0, - "high": 1.0, - "n": 1, - "seed": 20260729, - "iterations": 1, - "strata_key": "category", - } - for field in rank_metrics - }, - "paired_bootstrap": { - "available": False, - "reason": "baseline_records_not_supplied", - "n": 0, - "delta": None, - "low": None, - "high": None, - "iterations": 1, - }, - "grounded_f1": {"available": False, "reason": "not_measured"}, - "abstention_f1": {"available": False, "reason": "not_measured"}, - "fixed_budget_curve": { - "available": True, - "rows": [{ - "token_budget": budget, - "status": "measured", - "n_total": 1, - "n_scored": 1, - "records": [dict(curve_record)], - **rank_metrics, - } for budget in CANONICAL_TOKEN_BUDGETS], - }, - }, - git_commit="a" * 40, - ) - report["system"]["git_dirty"] = False - report["models"] = {"embedder": { - "name": "FixtureEmbedder", - "model_id": profile["embedding"]["model"], - "revision": profile["embedding"]["revision"], - "sha256": "b" * 64, - }} - report["protocol"]["complete_dataset"] = True - report["protocol"]["source_questions"] = len(report["records"]) - return report - - -def test_metrics_cover_rank_sensitive_retrieval_quality(): - retrieved = ["noise", "evidence-a", "evidence-b"] - supporting = ["evidence-a", "evidence-b"] - assert metrics.mrr_at_k(retrieved, supporting, 3) == 0.5 - assert metrics.ndcg_at_k(retrieved, supporting, 3) > 0.6 - assert metrics.recall_at_k(retrieved[:1], supporting) == 0.0 - assert metrics.hit_at_k(retrieved[:1], supporting) == 0.0 - bundle = metrics.retrieval_metrics_at_depths(retrieved, supporting) - assert bundle["recall_at_1"] == 0.0 - assert bundle["recall_at_5"] == 1.0 - assert bundle["mrr_at_5"] == 0.5 - - -def test_envelope_hashes_dataset_config_and_retains_exclusions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} - records = [ - question_record("q1", category="state", supporting_ids=["m1"]), - question_record("q2", category="abstention", excluded=excluded), - ] - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, records=records, - metrics={"recall": 1.0}, git_commit="abc123", - ) - assert report["schema"] == SCHEMA - assert report["suite"]["sha256"] - assert report["system"]["config_sha256"] - assert report["protocol"] == { - "command": ["in_process"], - "config": {"k": 5}, - "token_accounting": { - "identity": "unspecified", - "revision": None, - "scope": "unspecified", - "method": "unspecified", - }, - "n_total": 2, - "n_scored": 1, - } - assert report["exclusions"] == [{ - "question_id": "q2", - "reason": "no_gold_evidence", - }] - assert json.loads(json.dumps(report))["schema"] == SCHEMA - - -def test_envelope_redacts_top_level_exclusion_detail(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, records=[], - exclusions=[{ - "question_id": "q1", "reason": "invalid", "detail": "private prompt text", - }], - ) - - assert report["exclusions"] == [{ - "question_id": "q1", - "reason": "invalid", - }] - - -def test_command_provenance_redacts_explicit_credential_arguments(): - assert redact_command([ - "python", "-m", "runner", "--api-key", "do-not-publish", "--token=value", - ]) == [ - "python", "-m", "runner", "--api-key", "", "--token", "", - ] - - -def test_command_provenance_redacts_assignment_header_and_url_credentials(): - assert redact_command([ - "API_KEY=super-secret", "--api_key", "also-secret", - "-H", "Authorization: Bearer another-secret", - "https://alice:password@example.test/run?access_token=last-secret&format=json", - ]) == [ - "API_KEY=", "--api_key", "", - "-H", "", - "https://@example.test/run?access_token=%3Credacted%3E&format=json", - ] - assert redact_command([ - "-ualice:password", "-psecret", "--user=alice:password", - "--header=Authorization: Bearer secret", - ]) == [ - "-u", "", "-p", "", "--user", "", - "--header", "", - ] - - -def test_command_provenance_redacts_compound_credential_assignments(): - assert redact_command([ - "AWS_SECRET_ACCESS_KEY=do-not-publish", - "AWS_ACCESS_KEY_ID=also-private", - "HTTP_AUTHORIZATION=Bearer another-secret", - "--token-budget", "512", - ]) == [ - "AWS_SECRET_ACCESS_KEY=", - "AWS_ACCESS_KEY_ID=", - "HTTP_AUTHORIZATION=", - "--token-budget", "512", - ] - - -def test_command_provenance_redacts_fragment_credentials_without_hiding_normal_options(): - assert redact_command([ - "--token-budget", "512", "--tokenizer-model", "reader-v1", - "https://example.test/callback#access_token=do-not-publish&state=visible", - ]) == [ - "--token-budget", "512", "--tokenizer-model", "reader-v1", - "https://example.test/callback#access_token=%3Credacted%3E&state=visible", - ] - - -def test_command_provenance_redacts_embedded_and_signed_url_credentials(): - assert redact_command([ - "DATASET_URL=https://example.test/data?access_token=do-not-publish", - "--dataset-url=https://example.test/data?X-Amz-Signature=signed&sig=azure", - "https://example.test/data?signature=generic", - ]) == [ - "DATASET_URL=https://example.test/data?access_token=%3Credacted%3E", - "--dataset-url=https://example.test/data?X-Amz-Signature=%3Credacted%3E&sig=%3Credacted%3E", - "https://example.test/data?signature=%3Credacted%3E", - ] - - -def test_command_provenance_redacts_userinfo_when_a_url_port_is_malformed(): - assert redact_command([ - "https://alice:password@example.test:notaport/path?access_token=do-not-publish", - ]) == [ - "https://@example.test:notaport/path?access_token=%3Credacted%3E", - ] - - -def test_command_provenance_fails_closed_when_url_splitting_rejects_userinfo(): - assert redact_command(["https://user:password@[invalid/path"]) == [""] - - -def test_canonical_profile_validator_and_immutable_artifact_writer(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - profile = json.loads(json.dumps(LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE)) - profile["benchmark"]["repository_revision"] = "a" * 40 - profile["benchmark"]["dataset_revision"] = "b" * 40 - profile["reader"]["revision"] = "c" * 40 - profile["embedding"]["revision"] = "d" * 40 - profile["baseline_label"] = "full_hybrid" - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid", profile=profile - ) - report = _complete_canonical_report(dataset, config) - assert validate_report(report, canonical=True) == [] - dirty = deepcopy(report) - dirty["system"]["git_dirty"] = True - assert "canonical reports require a clean git worktree" in validate_report( - dirty, canonical=True - ) - artifact = tmp_path / "artifacts" / "run.json" - written = write_canonical_artifact(report, artifact, canonical=True) - assert written["sha256"] in artifact.with_name("run.json.sha256").read_text("ascii") - assert json.loads(artifact.read_text("utf-8"))["schema"] == SCHEMA - assert write_canonical_artifact(report, artifact, canonical=True) == written - changed = dict(report) - changed["records"] = [dict(report["records"][0])] - changed["records"][0]["latency_ms"] = 2.0 - with pytest.raises(FileExistsError): - write_canonical_artifact(changed, artifact, canonical=True) - - -def test_report_validator_recomputes_embedded_config_digest(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"baseline_label": "full_hybrid"}, - records=[question_record("q1")], git_commit="abc123", - ) - report["protocol"]["config"]["baseline_label"] = "dense_only" - - errors = validate_report(report) - - assert "system.config_sha256 must match the canonical protocol.config digest" in errors - - -def test_report_validator_rejects_inconsistent_or_duplicate_exclusions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, - records=[ - question_record("q1"), - question_record("q2", excluded=excluded), - ], - git_commit="abc123", - ) - assert validate_report(report) == [] - - report["exclusions"] = [excluded, excluded] - errors = validate_report(report) - assert "exclusion question_id values must be unique" in errors - - report["exclusions"] = [] - errors = validate_report(report) - assert "top-level exclusions must exactly match per-record exclusions" in errors - - -def test_default_canonical_profile_is_pinned_and_rejects_mutable_revisions(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - assert validate_report(report, canonical=True) == [] - assert all( - len(value) == 40 - for value in ( - config["canonical_profile"]["benchmark"]["repository_revision"], - config["canonical_profile"]["benchmark"]["dataset_revision"], - config["canonical_profile"]["reader"]["revision"], - config["canonical_profile"]["embedding"]["revision"], - ) - ) - assert config["token_budgets"] == list(CANONICAL_TOKEN_BUDGETS) - - config["canonical_profile"]["reader"]["revision"] = "main" - errors = validate_report(report, canonical=True) - assert any("reader.revision" in error and "immutable" in error for error in errors) - - -def test_canonical_validator_rejects_unpinned_commit_private_prompts_and_unlabeled_measurements(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["system"]["git_commit"] = "not-a-commit" - report["records"][0]["q"] = "private source question" - report["records"][0]["question_sha256"] = "a" * 64 - report["records"][0].pop("context_token_method") - report["metrics"].pop("recall_at_10") - - errors = validate_report(report, canonical=True) - - assert any("git_commit" in error for error in errors) - assert "canonical records must not contain raw query text" in errors - assert "canonical records must not contain question-derived hashes" in errors - assert any("context_token_method" in error for error in errors) - assert any("metrics.recall_at_10" in error for error in errors) - - config["canonical_profile"]["reader"]["revision"] = "C" * 40 - errors = validate_report(report, canonical=True) - assert any("reader.revision" in error and "immutable" in error for error in errors) - - -def test_canonical_validator_requires_grounded_metrics_or_explicit_unavailability(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["metrics"].pop("grounded_f1") - report["metrics"]["abstention_f1"] = {"available": False} - - errors = validate_report(report, canonical=True) - - assert any("grounded_f1" in error and "unavailable reason" in error for error in errors) - assert any("abstention_f1" in error and "unavailable reason" in error for error in errors) - - -def test_canonical_validator_requires_measured_rows_for_every_fixed_budget(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - report = _complete_canonical_report(dataset, config) - report["metrics"]["fixed_budget_curve"]["rows"].pop() - - errors = validate_report(report, canonical=True) - - assert "canonical fixed-budget curve must contain every canonical token budget" in errors - report["metrics"]["fixed_budget_curve"] = {"available": False, "reason": "not_run"} - errors = validate_report(report, canonical=True) - assert "canonical fixed-budget curve is unavailable and cannot qualify as evidence" in errors - - report = _complete_canonical_report(dataset, config) - report["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0]["excluded"] = True - errors = validate_report(report, canonical=True) - assert "canonical fixed-budget curve 256 records must preserve exclusion state" in errors - - -def test_canonical_validator_requires_complete_dataset_cardinality(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - assert validate_report(valid, canonical=True) == [] - - missing_complete = deepcopy(valid) - missing_complete["protocol"].pop("complete_dataset") - assert "canonical protocol.complete_dataset must be true" in validate_report( - missing_complete, canonical=True - ) - - for invalid_count in (True, 0, 2): - mismatched = deepcopy(valid) - mismatched["protocol"]["source_questions"] = invalid_count - errors = validate_report(mismatched, canonical=True) - assert any("protocol.source_questions" in error for error in errors) - - -def test_canonical_validator_rejects_invalid_numeric_and_token_accounting(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - config["token_budget"] = 4 - valid = _complete_canonical_report(dataset, config) - valid["records"][0]["usage"] = { - "budget_tokens": 4, - "context_tokens": 3, - "token_counter": valid["records"][0]["context_tokenizer_identity"], - } - assert validate_report(valid, canonical=True) == [] - - mutations = ( - (("metrics", "recall_at_1"), True, "metrics.recall_at_1"), - (("records", 0, "recall_at_1"), True, "records require recall_at_1"), - (("records", 0, "latency_ms"), float("inf"), "latency_ms"), - (("records", 0, "context_tokens"), float("nan"), "context_tokens"), - (("records", 0, "context_tokens"), -1, "context_tokens"), - (("records", 0, "context_tokens"), 5, "must not exceed protocol token_budget"), - ( - ("records", 0, "usage", "context_tokens"), - 5, - "usage.context_tokens must not exceed usage.budget_tokens", - ), - ( - ("records", 0, "usage", "budget_tokens"), - 5, - "usage.budget_tokens must equal protocol token_budget", - ), - ( - ("records", 0, "usage", "source_tokens"), - True, - "usage.source_tokens must be non-negative and finite", - ), - ( - ("records", 0, "usage", "savings_ratio"), - float("inf"), - "usage.savings_ratio must be a number in [0, 1]", - ), - ( - ("metrics", "fixed_budget_curve", "rows", 0, "recall_at_1"), - True, - "fixed-budget curve 256 requires recall_at_1", - ), - ( - ("metrics", "fixed_budget_curve", "rows", 0, "records", 0, "context_tokens"), - 257, - "context_tokens within budget", - ), - ) - for path, value, expected in mutations: - report = deepcopy(valid) - target = report - for key in path[:-1]: - target = target[key] - target[path[-1]] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (path, errors) - - -def test_canonical_validator_rejects_tampered_confidence_intervals(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - assert validate_report(valid, canonical=True) == [] - - mutations = ( - ("point", float("nan"), "point/low/high must be finite"), - ("low", -0.1, "point/low/high must be finite"), - ("high", 1.1, "point/low/high must be finite"), - ("high", 0.5, "low <= point <= high"), - ("point", 0.5, ".point must match metrics.recall_at_1"), - ("n", 2, ".n must equal the non-excluded record count"), - ("seed", -1, ".seed must be a non-negative integer"), - ("iterations", 0, ".iterations must be a positive integer"), - ("iterations", -1, ".iterations must be a positive integer"), - ("iterations", True, ".iterations must be a positive integer"), - ("strata_key", "topic", ".strata_key must equal category"), - ("low", 0.75, "must exactly match deterministic recomputation"), - ) - for key, value, expected in mutations: - report = deepcopy(valid) - report["metrics"]["confidence_intervals"]["recall_at_1"][key] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (key, value, errors) - for metric_name in ( - "recall_at_1", "recall_at_5", "recall_at_10", - "mrr_at_1", "mrr_at_5", "mrr_at_10", - "ndcg_at_1", "ndcg_at_5", "ndcg_at_10", - ): - report = deepcopy(valid) - interval = report["metrics"]["confidence_intervals"][metric_name] - if interval["low"] > 0: - interval["low"] = round(interval["low"] - 0.000001, 6) - else: - interval["high"] = round(interval["high"] + 0.000001, 6) - errors = validate_report(report, canonical=True) - assert any( - "must exactly match deterministic recomputation" in error - for error in errors - ), (metric_name, errors) - - extra = deepcopy(valid) - extra["metrics"]["confidence_intervals"]["recall_at_1"]["mean"] = 1.0 - errors = validate_report(extra, canonical=True) - assert any("must match the canonical confidence interval schema" in error for error in errors) - - missing = deepcopy(valid) - missing["metrics"]["confidence_intervals"].pop("recall_at_1") - errors = validate_report(missing, canonical=True) - assert ( - "canonical metrics.confidence_intervals must exactly cover every rank metric" - in errors - ) - - -def test_canonical_validator_rejects_tampered_paired_bootstrap_payloads(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - unavailable_mutations = ( - ("reason", "", ".reason must be a non-empty string"), - ("n", 1, ".n must be zero when unavailable"), - ("delta", 0.0, "delta/low/high must be null when unavailable"), - ("iterations", 0, ".iterations must be a positive integer"), - ("iterations", True, ".iterations must be a positive integer"), - ) - for key, value, expected in unavailable_mutations: - report = deepcopy(valid) - report["metrics"]["paired_bootstrap"][key] = value - errors = validate_report(report, canonical=True) - assert any(expected in error for error in errors), (key, value, errors) - - available = deepcopy(valid) - available["metrics"]["paired_bootstrap"] = { - "available": True, - "metric": "recall_at_5", - "delta": 0.25, - "low": 0.0, - "high": 0.5, - "n": 1, - "seed": 20260729, - "iterations": 20, - } - errors = validate_report(available, canonical=True) - assert any( - "must be unavailable until an immutable baseline artifact" in error - for error in errors - ) - - -def test_canonical_validator_recomputes_all_rank_aggregates_from_record_ids(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - top_level = deepcopy(valid) - top_level["metrics"]["recall_at_5"] = 0.5 - errors = validate_report(top_level, canonical=True) - assert ( - "canonical metrics.recall_at_5 must equal the non-excluded record mean" - in errors - ) - - curve_aggregate = deepcopy(valid) - curve_aggregate["metrics"]["fixed_budget_curve"]["rows"][0]["ndcg_at_10"] = 0.5 - errors = validate_report(curve_aggregate, canonical=True) - assert any( - "fixed-budget curve 256 ndcg_at_10" in error - and "non-excluded record mean" in error - for error in errors - ) - - curve_measurement = deepcopy(valid) - measurement = curve_measurement["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0] - measurement["retrieved_ids"] = [] - errors = validate_report(curve_measurement, canonical=True) - assert any( - "fixed-budget curve 256 record recall_at_1" in error - and "retrieved_ids and supporting_ids" in error - for error in errors - ) - - -def test_canonical_validator_derives_numeric_grounded_metrics_from_labels(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - - unlabeled = _complete_canonical_report(dataset, config) - unlabeled["metrics"]["grounded_f1"] = 0.75 - unlabeled["metrics"]["abstention_f1"] = 0.75 - errors = validate_report(unlabeled, canonical=True) - assert any( - "metrics.grounded_f1 requires labeled per-question grounded values" in error - and "unavailable reason" in error - for error in errors - ) - assert any( - "metrics.abstention_f1 requires labeled per-question abstained values" in error - and "unavailable reason" in error - for error in errors - ) - - measured = _complete_canonical_report(dataset, config) - measured["records"][0].update({ - "answerable": True, - "grounded": True, - "abstained": False, - }) - measured["metrics"]["grounded"] = { - "available": True, - **metrics.grounded_precision_recall_f1([True], [True]), - } - measured["metrics"]["abstention"] = { - "available": True, - **metrics.abstention_precision_recall_f1([False], [True]), - } - measured["metrics"]["grounded_f1"] = 1.0 - measured["metrics"]["abstention_f1"] = 1.0 - assert validate_report(measured, canonical=True) == [] - - bad_count = deepcopy(measured) - bad_count["metrics"]["grounded"]["n"] = 2 - errors = validate_report(bad_count, canonical=True) - assert ( - "canonical metrics.grounded.n must be recomputed from per-question labels" - in errors - ) - - measured["metrics"]["grounded_f1"] = 0.0 - errors = validate_report(measured, canonical=True) - assert ( - "canonical metrics.grounded_f1 must be recomputed from per-question labels" - in errors - ) - - -def test_canonical_validator_requires_pinned_reader_tokenizer_identity(tmp_path): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - config = canonical_benchmark_config( - run_label="release-candidate", baseline_label="full_hybrid" - ) - valid = _complete_canonical_report(dataset, config) - - estimated = deepcopy(valid) - estimated["records"][0]["context_token_method"] = "deterministic_estimate" - estimated["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0][ - "context_token_method" - ] = "deterministic_estimate" - errors = validate_report(estimated, canonical=True) - assert any( - "context_token_method=pinned_reader_content_tokenizer" in error - for error in errors - ) - assert any( - "fixed-budget curve 256 records require" in error - and "context_token_method=pinned_reader_content_tokenizer" in error - for error in errors - ) - - mismatched = deepcopy(valid) - mismatched["records"][0]["context_tokenizer_identity"] = "other/model@" + "e" * 40 - mismatched["records"][0]["usage"]["token_counter"] = "other/model@" + "e" * 40 - errors = validate_report(mismatched, canonical=True) - assert any("context_tokenizer_identity must match" in error for error in errors) - assert any("usage.token_counter must match" in error for error in errors) - - -def test_benchmark_cli_writes_canonical_json_and_checksum(tmp_path, capsys): - dataset = tmp_path / "fixture.jsonl" - dataset.write_text('{"id":"one"}\n', encoding="utf-8") - report = report_envelope( - suite="fixture", dataset_path=dataset, config={"k": 5}, - records=[question_record("q1")], git_commit="abc123", - ) - source = tmp_path / "source.json" - source.write_text(json.dumps(report), encoding="utf-8") - artifact = tmp_path / "artifact.json" - assert main(["--input", str(source), "--output", str(artifact)]) == 0 - assert artifact.exists() and artifact.with_name("artifact.json.sha256").exists() - assert "sha256" in capsys.readouterr().out - - -def test_exact_tokenizer_fallback_budget_curves_and_deterministic_cis(): - assert count_tokens("abc", CharacterTokenizer()) == {"tokens": 3, "method": "injected"} - assert count_tokens("one two")["method"] == "deterministic_estimate" - records = [ - {"category": "a", "supporting_ids": ["m1"], "chunks": [ - {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} - ]}, - {"category": "b", "supporting_ids": ["m2"], "chunks": [ - {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} - ]}, - ] - curve = fixed_budget_curve(records, [3, 6]) - assert curve[0]["recall"] == 0.5 - assert curve[1]["recall"] == 1.0 - def metric(rows): - return sum(row["value"] for row in rows) / len(rows) - ci_one = stratified_bootstrap_ci( - [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], - metric, iterations=40, seed=4, - ) - ci_two = stratified_bootstrap_ci( - [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], - metric, iterations=40, seed=4, - ) - assert ci_one == ci_two - paired = paired_bootstrap_ci([(1.0, 0.0), (0.0, 0.0)], iterations=40, seed=4) - assert paired["delta"] == 0.5 and paired["n"] == 2 +import hashlib +import json +import re +import struct +from copy import deepcopy +from pathlib import Path +from xml.etree import ElementTree + +import pytest + +from eval import metrics +from eval import grounded as grounded_eval +from eval.benchmark import ( + SCHEMA, + CANONICAL_TOKEN_BUDGETS, + LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE, + canonical_benchmark_config, + count_tokens, + fixed_budget_curve, + paired_bootstrap_ci, + redact_command, + redact_public_record, + main, + question_record, + report_envelope, + stratified_bootstrap_ci, + validate_report, + write_canonical_artifact, +) +from eval.chunking_eval import compare as compare_chunking, load as load_chunking +from eval.harness import load_dataset as load_performance_dataset +from eval.performance import run as run_performance + + +ROOT = Path(__file__).resolve().parents[1] +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v102.json" +PUBLIC_OFFLINE_SHA = "aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1" + + +@pytest.fixture(scope="module") +def offline_release_evidence(): + """Run the exact small offline commands that back the public documentation.""" + longdoc = ROOT / "eval" / "datasets" / "longdoc.jsonl" + codemem = ROOT / "eval" / "datasets" / "codemem.jsonl" + return { + "chunking": compare_chunking( + load_chunking(str(longdoc)), k=5, embed_model=None + ), + "performance": run_performance( + load_performance_dataset(str(codemem)), k=5, iterations=10 + ), + "grounded": grounded_eval.run(), + } + + +def test_public_facing_docs_do_not_use_em_dashes(): + """Published prose uses straightforward punctuation that renders consistently.""" + public_files = [ + *(ROOT / name for name in ("README.md", "BENCHMARKS.md", "CHANGELOG.md", "SECURITY.md")), + *(ROOT / "docs").rglob("*.md"), + *(ROOT / "docs" / "images").glob("*.svg"), + *(ROOT / "skills" / "engraphis-memory").rglob("*.md"), + ] + offenders = [ + path.relative_to(ROOT).as_posix() + for path in public_files + if "—" in path.read_text(encoding="utf-8") + ] + + assert not offenders, f"Public-facing files still contain em dashes: {offenders}" + + +class CharacterTokenizer: + def encode(self, text): + return list(text) + + +def test_public_record_redaction_omits_raw_payloads_and_content_fingerprints(): + record = redact_public_record({ + "question_id": "q1", + "query": "private query", + "answer_variants": ["private answer"], + "model_output": "private completion", + "context": "private context", + "retrieved_context": "private retrieved context", + "prompt": "private prompt", + "input": "private input", + "conversation": ["private conversation"], + "history": ["private history"], + "tool_calls": [{"arguments": "private tool input"}], + }) + + assert record == {"question_id": "q1"} + + + +def _committed_evidence() -> dict: + """Load the COMMITTED registry artifact — the publication source of truth that the + README/BENCHMARKS/SVG prose was written from. + + Prose tests must interpolate values from this artifact, not from a fresh evaluator + run. Timed latency aggregates are machine-dependent, while the context, payload, + question-count, and quality aggregates used by the publication contract are + deterministic and compared exactly in ``test_public_numeric_evidence_registry_is_complete_and_live``. + """ + artifact = json.loads( + (ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT).read_text( + encoding="utf-8" + ) + ) + return { + "chunking": artifact["runs"][0]["result"], + "performance": artifact["runs"][1]["result"], + "grounded": artifact["runs"][2]["result"], + } + +def test_readme_distinguishes_every_registered_token_context_measurement(): + """Public token-efficiency copy preserves each registered metric boundary. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so prose cannot drift from the evidence it cites. + """ + committed = _committed_evidence() + readme = (ROOT / "README.md").read_text(encoding="utf-8") + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + context_full = performance["full_serialized_payload_tokens"] + context_compact = performance["compact_serialized_payload_tokens"] + payload_samples = performance["questions"] + timed_recalls = performance["timed_recalls"] + + for evidence in ( + "## Measured token and context savings", + "See benchmark details and reproduce the results", + "### Measurement details and reproducibility", + f"{whole['mean_context_tokens']:.1f}** tokens → structure-aware chunks: " + f"**{chunked['mean_context_tokens']:.1f}** tokens", + f"{chunking['context_reduction_pct']:.1f}% lower", + f"{whole['mean_evidence_tokens']:.1f}** tokens → chunks: " + f"**{chunked['mean_evidence_tokens']:.1f}** tokens", + "73.9% lower", + f"{context_full:,}** `engraphis.regex.v1` tokens → " + f"compact proxy: **{context_compact:,}** tokens", + f"{performance['saved_serialized_payload_tokens']:,} proxy tokens avoided", + f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", + f"{payload_samples} payload samples; {timed_recalls} timed recalls", + f"1,500** tokens; observed mean: **{performance['mean_context_tokens']:.2f}**; " + f"observed maximum: **{performance['max_context_tokens']}**", + "does **not** serialize the MCP envelope", + "not an MCP transport response", + "must not be added together", + "not a storage-reduction claim", + PUBLIC_OFFLINE_ARTIFACT, + "offline-chunking", + "offline-performance", + PUBLIC_OFFLINE_SHA, + "There is no universal memory-count", + "python -m eval.vector_scale", + 'vector_backend="sqlite-vec"', + ): + assert evidence in readme + + for unsupported in ( + "49,915,394", + "891,857", + "98.2133%", + "Repeated-memory consolidation fixture", + "1,883** total agent-facing tokens", + "3.1% higher", + ): + assert unsupported not in readme + + + +def test_public_docs_scope_external_numbers_and_withhold_historical_claims(): + """The offline registry is scoped while separate diagnostics remain artifact-bound.""" + readme = (ROOT / "README.md").read_text(encoding="utf-8") + benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + expansion = (ROOT / "docs" / "BENCHMARK_EXPANSION_RESULTS.md").read_text( + encoding="utf-8" + ) + additional = (ROOT / "docs" / "ADDITIONAL_BENCHMARK_DIAGNOSTICS.md").read_text( + encoding="utf-8" + ) + security = (ROOT / "SECURITY.md").read_text(encoding="utf-8") + readme_normalized = " ".join(readme.split()) + benchmarks_normalized = " ".join(benchmarks.split()) + additional_normalized = " ".join(additional.split()) + + assert "See benchmark details and reproduce the results" in readme + assert "offline fixture registry intentionally excludes external" in readme_normalized + assert "Completed retrieval-only diagnostics are published separately" in readme_normalized + assert "absence from this registry" in benchmarks_normalized + assert "LoCoMo and LongMemEval retrieval diagnostics are retained as separate public-safe artifacts" in benchmarks_normalized + assert "Mem2ActBench's declared small retrieval diagnostic is complete" in benchmarks_normalized + assert "LongMemEval 4,096-token context experiment | COMPLETE" in expansion + assert "+24.03 percentage points" in expansion + assert "source-preparation metadata" in expansion + assert "public source lock records 20 preparation exclusions" in additional_normalized + assert "Exact vector scale envelope" in benchmarks + assert "python -m eval.redteam_poisoning" in security + + for stale in ( + "model-dependent, consolidation, productivity, and latency results remain unpublished", + "private diagnostic; it is not an official benchmark-harness or public evidence artifact", + "withholds their case counts, retrieval scores", + ): + assert stale not in readme + assert stale not in benchmarks + + for unsupported in ( + "49,915,394", + "891,857", + "98.2133%", + "0.6045", + "0.6625", + "0.1259", + "0.5100", + "20.666 ms", + ): + assert unsupported not in readme + assert unsupported not in benchmarks + + for supporting_detail in ( + "### Choose a vector backend for your corpus", + "python -m eval.redteam_poisoning", + "[local and hosted plans]", + ): + assert supporting_detail not in readme + + +def test_readme_makes_agent_benefits_and_visual_evidence_scannable(): + """The public overview and its visual evidence must stay wired to real assets.""" + readme = (ROOT / "README.md").read_text(encoding="utf-8") + + for evidence in ( + "## What Engraphis gives an agent", + "Remember a project across sessions", + "Avoid confident guesses", + "Avoid dragging the whole project into every prompt", + "docs/images/knowledge-graph.png", + "docs/images/context-efficiency.svg", + "Less repeated history means more room for the task, tools, and useful evidence", + ): + assert evidence in readme + + for removed in ( + "### See the behavior in reproducible fixtures", + "docs/images/evidence-backed-agent-examples.svg", + "Run `python -m eval.chunking_eval` and `python -m eval.grounded`", + ): + assert removed not in readme + + for filename in ( + "engraphis-benefit-flow.svg", + "engraphis-benefit-flow.png", + "context-efficiency.svg", + "context-efficiency.png", + "evidence-backed-agent-examples.svg", + "evidence-backed-agent-examples.png", + ): + assert (ROOT / "docs" / "images" / filename).is_file() + + +def test_readme_visual_pngs_match_their_svg_canvas(): + """README image exports must not carry hidden screenshot padding.""" + image_dir = ROOT / "docs" / "images" + + for stem in ( + "engraphis-benefit-flow", + "evidence-backed-agent-examples", + "context-efficiency", + ): + svg = ElementTree.parse(image_dir / f"{stem}.svg").getroot() + expected = (int(svg.attrib["width"]), int(svg.attrib["height"])) + png_header = (image_dir / f"{stem}.png").read_bytes()[:24] + + assert png_header[:8] == b"\x89PNG\r\n\x1a\n" + assert struct.unpack(">II", png_header[16:24]) == expected + + +def test_example_visual_uses_the_checked_in_offline_fixture_results( + offline_release_evidence, +): + """The examples stay tied to executable fixtures and their public artifact.""" + chunking = offline_release_evidence["chunking"] + whole = chunking["reports"]["whole"] + chunked = chunking["reports"]["chunked"] + grounded = offline_release_evidence["grounded"] + visual = ( + ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg" + ).read_text(encoding="utf-8") + + assert chunking["context_reduction_pct"] == 71.1 + result = ( + f"{whole['mean_context_tokens']:.1f} → " + f"{chunked['mean_context_tokens']:.1f} tokens" + ) + assert result in visual + assert grounded == { + "answer_rate": 1.0, + "abstain_rate": 1.0, + "accuracy": 1.0, + "grounded_hits": 5, + "abstain_hits": 6, + "quarantine_hits": 1, + "n_quarantine": 1, + "n_answerable": 5, + "n_unanswerable": 6, + } + assert "5/5 answerable questions" in visual + assert "6/6 off-topic questions" in visual + assert PUBLIC_OFFLINE_SHA in visual + + +def test_context_savings_visual_uses_only_registered_measurements(): + """The headline chart contains only registered values and explicit scope labels. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so chart text cannot drift from the evidence it cites. + """ + visual = (ROOT / "docs" / "images" / "context-efficiency.svg").read_text( + encoding="utf-8" + ) + committed = _committed_evidence() + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + context_full = performance["full_serialized_payload_tokens"] + context_compact = performance["compact_serialized_payload_tokens"] + payload_samples = performance["questions"] + timed_recalls = performance["timed_recalls"] + + for evidence in ( + "Measured context and retrieval boundaries", + "CONTEXT BOUNDARIES", + "QUALITY SCOPES", + "PENDING EVALUATION TRACKS", + "Whole documents", + f"{whole['mean_context_tokens']:.1f} tokens", + "Structure-aware chunks", + f"{chunked['mean_context_tokens']:.1f} tokens", + f"{chunking['context_reduction_pct']:.1f}% lower", + "Smallest evidence:", + "Serialized JSON-shape payload proxy", + f"{payload_samples:,} payload samples / {timed_recalls:,} timed recalls", + "Full JSON-shape proxy", + f"{context_full:,} tokens", + "Compact JSON-shape proxy", + f"{context_compact:,} tokens", + f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower", + "Retrieved candidate quality", + "Packed context", + "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000", + "MCP transport not measured", + "JSON proxy only", + "Pinned LoCoMo and LongMemEval artifacts with answer evaluators", + ): + assert evidence in visual + + svg = ElementTree.fromstring(visual) + namespace = "{http://www.w3.org/2000/svg}" + # Numeric source text must be rendered by SVG, not hidden beside a stale bitmap. + assert not svg.findall(f".//{namespace}image") + visible_text = {node.text for node in svg.iter(f"{namespace}text")} + assert f"{context_compact:,} tokens" in visible_text + assert f"{100 * performance['serialized_payload_savings_ratio']:.2f}% lower" in visible_text + assert f"Mean {performance['mean_context_tokens']:.2f} / max {performance['max_context_tokens']:,} tokens" in visual + assert "Recall@5 1.000 / hit@5 1.000 / answer tokens 1.000" in visual + assert "MCP transport not measured" in visible_text + + for unsupported in ( + "Public evidence is checksum-bound", + PUBLIC_OFFLINE_ARTIFACT, + "No external or model-dependent number is published without the same evidence", + "Evidence pending", + "No external or model-dependent number is published", + "808.8", + "218.4", + "17,172", + "7,663", + "Repeated memories · 230 tokens", + "47.8% less", + "53× more evidence", + "97.72% less total", + "87.7 average · 106 max", + ): + assert unsupported not in visual + + text_sizes = { + float(value) + for value in re.findall(r'font-size="([^"]+)"', visual) + } + assert {12.5, 13.2, 14.3, 17.4, 18.7, 20.0, 24.0, 33.0} <= text_sizes + + +def test_public_numeric_evidence_registry_is_complete_and_live( + offline_release_evidence, +): + """Every retained public aggregate resolves to one checksum-bound live run.""" + artifact_path = ( + ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT + ) + sidecar_path = artifact_path.with_suffix(".json.sha256") + artifact_bytes = artifact_path.read_bytes() + artifact_sha = hashlib.sha256(artifact_bytes).hexdigest() + expected_sha = PUBLIC_OFFLINE_SHA + + assert artifact_sha == expected_sha + assert sidecar_path.read_text(encoding="ascii") == ( + f"{expected_sha} {artifact_path.name}\n" + ) + artifact = json.loads(artifact_bytes) + assert artifact["schema"] == "engraphis-public-offline-fixtures/v1" + assert not any(artifact["privacy"].values()) + + file_hashes = artifact["suite"]["files"] + assert file_hashes == { + path: hashlib.sha256((ROOT / path).read_bytes()).hexdigest() + for path in sorted(file_hashes) + } + suite_manifest = json.dumps( + file_hashes, sort_keys=True, separators=(",", ":") + ).encode() + assert hashlib.sha256(suite_manifest).hexdigest() == artifact["suite"]["digest"] + assert artifact["suite"]["digest"] in (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + + runs = {run["id"]: run for run in artifact["runs"]} + assert set(runs) == { + "offline-chunking", + "offline-performance", + "offline-grounded", + } + for run in runs.values(): + assert hashlib.sha256(run["command"].encode()).hexdigest() == run["config_digest"] + + chunking = offline_release_evidence["chunking"] + chunking_result = runs["offline-chunking"]["result"] + for mode in ("whole", "chunked"): + live = chunking["reports"][mode] + recorded = chunking_result[mode] + assert recorded["memories"] == live["memories_stored"] + assert recorded["recall_at_k"] == live["recall_at_k"] + assert recorded["mean_context_tokens"] == live["mean_context_tokens"] + assert recorded["mean_evidence_tokens"] == live["mean_evidence_tokens"] + assert recorded["max_stored_tokens"] == live["max_stored_tokens"] + assert chunking_result["context_reduction_pct"] == chunking["context_reduction_pct"] + + performance = offline_release_evidence["performance"] + performance_result = runs["offline-performance"]["result"] + assert performance_result["questions"] == performance["corpus"]["questions"] + assert performance_result["timed_recalls"] == performance["run"]["timed_recalls"] + assert performance_result["recall_at_k"] == performance["quality"]["recall_at_k"] + assert performance_result["hit_at_k"] == performance["quality"]["hit_at_k"] + assert ( + performance_result["answer_token_recall"] + == performance["quality"]["answer_token_recall"] + ) + + # These values are deterministic fixture aggregates, not wall-clock timing + # observations. Approximate comparisons would let serializer or count drift + # pass the publication contract unnoticed. + assert performance_result["mean_context_tokens"] == performance["context"]["mean_tokens"] + assert performance_result["max_context_tokens"] == performance["context"]["max_tokens"] + assert ( + performance_result["full_serialized_payload_tokens"] + == performance["context"]["full_serialized_payload_tokens"] + ) + assert ( + performance_result["compact_serialized_payload_tokens"] + == performance["context"]["compact_serialized_payload_tokens"] + ) + assert ( + performance_result["saved_serialized_payload_tokens"] + == performance["context"]["saved_serialized_payload_tokens"] + ) + assert ( + performance_result["serialized_payload_savings_ratio"] + == performance["context"]["serialized_payload_savings_ratio"] + ) + + grounded = offline_release_evidence["grounded"] + grounded_result = runs["offline-grounded"]["result"] + assert grounded_result == { + "answerable": grounded["n_answerable"], + "grounded": grounded["grounded_hits"], + "off_topic": grounded["n_unanswerable"], + "quarantined": grounded["n_quarantine"], + "abstained": grounded["abstain_hits"], + "quarantine_hits": grounded["quarantine_hits"], + "decision_accuracy": grounded["accuracy"], + } + + surfaces = ( + ROOT / "README.md", + ROOT / "BENCHMARKS.md", + ROOT / "docs" / "images" / "context-efficiency.svg", + ROOT / "docs" / "images" / "evidence-backed-agent-examples.svg", + ) + for surface in surfaces: + assert expected_sha in surface.read_text(encoding="utf-8") + + claimed_ids = set( + re.findall( + r"offline-(?:chunking|performance|grounded)", + "\n".join(path.read_text(encoding="utf-8") for path in surfaces), + ) + ) + assert claimed_ids == set(runs) + + +def test_benchmark_guide_tracks_the_live_offline_evaluators(): + """Method prose must change whenever its executable offline evidence changes. + + Values are interpolated from the COMMITTED registry artifact — the publication + source of truth — so guide text cannot drift from the evidence it cites. + """ + benchmarks = (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + normalized = " ".join(benchmarks.split()) + committed = _committed_evidence() + chunking = committed["chunking"] + whole = chunking["whole"] + chunked = chunking["chunked"] + performance = committed["performance"] + payload_samples = performance["questions"] + + for evidence in ( + f"falls from {whole['mean_context_tokens']:.1f} to " + f"{chunked['mean_context_tokens']:.1f} tokens", + f"{whole['mean_context_tokens'] - chunked['mean_context_tokens']:.1f} fewer, " + f"{chunking['context_reduction_pct']:.1f}% lower", + f"falls from {whole['mean_evidence_tokens']:.1f} to " + f"{chunked['mean_evidence_tokens']:.1f} tokens", + "Payload proxies are sampled once per question", + "not serialized MCP envelopes or transport responses", + f"{payload_samples} payload samples total **" + f"{performance['full_serialized_payload_tokens']:,}** full-proxy", + f"versus **{performance['compact_serialized_payload_tokens']:,}** compact-proxy tokens", + f"avoiding **{performance['saved_serialized_payload_tokens']:,}** proxy tokens", + f"**{100 * performance['serialized_payload_savings_ratio']:.2f}% lower**", + f"averages **{performance['mean_context_tokens']:.2f}** tokens and reaches " + f"**{performance['max_context_tokens']}**", + ): + assert evidence in normalized + + + +def _complete_canonical_report(dataset, config): + """Minimal but fully auditable canonical envelope for validator coverage.""" + profile = config["canonical_profile"] + tokenizer_identity = ( + f"{profile['reader']['model']}@{profile['reader']['revision']}" + ) + record = question_record( + "q1", category="state", context_tokens=3, latency_ms=1.25, + retrieved_ids=["support"], supporting_ids=["support"], + recall_at_1=1.0, recall_at_5=1.0, recall_at_10=1.0, + mrr_at_1=1.0, mrr_at_5=1.0, mrr_at_10=1.0, + ndcg_at_1=1.0, ndcg_at_5=1.0, ndcg_at_10=1.0, + usage={ + "budget_tokens": config.get("token_budget") or 3, + "context_tokens": 3, + "token_counter": tokenizer_identity, + }, + ) + record["context_token_method"] = "pinned_reader_content_tokenizer" + record["context_tokenizer_identity"] = tokenizer_identity + rank_metrics = { + f"{metric}_at_{depth}": 1.0 + for metric in ("recall", "mrr", "ndcg") + for depth in (1, 5, 10) + } + curve_record = { + "question_id": "q1", + "excluded": False, + "context_tokens": 3, + "context_token_method": "pinned_reader_content_tokenizer", + "context_tokenizer_identity": tokenizer_identity, + "retrieved_ids": ["support"], + "supporting_ids": ["support"], + **rank_metrics, + } + report = report_envelope( + suite="fixture", dataset_path=dataset, config=config, records=[record], + metrics={ + **rank_metrics, + "confidence_intervals": { + field: { + "point": 1.0, + "low": 1.0, + "high": 1.0, + "n": 1, + "seed": 20260729, + "iterations": 1, + "strata_key": "category", + } + for field in rank_metrics + }, + "paired_bootstrap": { + "available": False, + "reason": "baseline_records_not_supplied", + "n": 0, + "delta": None, + "low": None, + "high": None, + "iterations": 1, + }, + "grounded_f1": {"available": False, "reason": "not_measured"}, + "abstention_f1": {"available": False, "reason": "not_measured"}, + "fixed_budget_curve": { + "available": True, + "rows": [{ + "token_budget": budget, + "status": "measured", + "n_total": 1, + "n_scored": 1, + "records": [dict(curve_record)], + **rank_metrics, + } for budget in CANONICAL_TOKEN_BUDGETS], + }, + }, + git_commit="a" * 40, + ) + report["system"]["git_dirty"] = False + report["models"] = {"embedder": { + "name": "FixtureEmbedder", + "model_id": profile["embedding"]["model"], + "revision": profile["embedding"]["revision"], + "sha256": "b" * 64, + }} + report["protocol"]["complete_dataset"] = True + report["protocol"]["source_questions"] = len(report["records"]) + return report + + +def test_metrics_cover_rank_sensitive_retrieval_quality(): + retrieved = ["noise", "evidence-a", "evidence-b"] + supporting = ["evidence-a", "evidence-b"] + assert metrics.mrr_at_k(retrieved, supporting, 3) == 0.5 + assert metrics.ndcg_at_k(retrieved, supporting, 3) > 0.6 + assert metrics.recall_at_k(retrieved[:1], supporting) == 0.0 + assert metrics.hit_at_k(retrieved[:1], supporting) == 0.0 + bundle = metrics.retrieval_metrics_at_depths(retrieved, supporting) + assert bundle["recall_at_1"] == 0.0 + assert bundle["recall_at_5"] == 1.0 + assert bundle["mrr_at_5"] == 0.5 + + +def test_envelope_hashes_dataset_config_and_retains_exclusions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} + records = [ + question_record("q1", category="state", supporting_ids=["m1"]), + question_record("q2", category="abstention", excluded=excluded), + ] + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, records=records, + metrics={"recall": 1.0}, git_commit="abc123", + ) + assert report["schema"] == SCHEMA + assert report["suite"]["sha256"] + assert report["system"]["config_sha256"] + assert report["protocol"] == { + "command": ["in_process"], + "config": {"k": 5}, + "token_accounting": { + "identity": "unspecified", + "revision": None, + "scope": "unspecified", + "method": "unspecified", + }, + "n_total": 2, + "n_scored": 1, + } + assert report["exclusions"] == [{ + "question_id": "q2", + "reason": "no_gold_evidence", + }] + assert json.loads(json.dumps(report))["schema"] == SCHEMA + + +def test_envelope_redacts_top_level_exclusion_detail(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, records=[], + exclusions=[{ + "question_id": "q1", "reason": "invalid", "detail": "private prompt text", + }], + ) + + assert report["exclusions"] == [{ + "question_id": "q1", + "reason": "invalid", + }] + + +def test_command_provenance_redacts_explicit_credential_arguments(): + assert redact_command([ + "python", "-m", "runner", "--api-key", "do-not-publish", "--token=value", + ]) == [ + "python", "-m", "runner", "--api-key", "", "--token", "", + ] + + +def test_command_provenance_redacts_assignment_header_and_url_credentials(): + assert redact_command([ + "API_KEY=super-secret", "--api_key", "also-secret", + "-H", "Authorization: Bearer another-secret", + "https://alice:password@example.test/run?access_token=last-secret&format=json", + ]) == [ + "API_KEY=", "--api_key", "", + "-H", "", + "https://@example.test/run?access_token=%3Credacted%3E&format=json", + ] + assert redact_command([ + "-ualice:password", "-psecret", "--user=alice:password", + "--header=Authorization: Bearer secret", + ]) == [ + "-u", "", "-p", "", "--user", "", + "--header", "", + ] + + +def test_command_provenance_redacts_compound_credential_assignments(): + assert redact_command([ + "AWS_SECRET_ACCESS_KEY=do-not-publish", + "AWS_ACCESS_KEY_ID=also-private", + "HTTP_AUTHORIZATION=Bearer another-secret", + "--token-budget", "512", + ]) == [ + "AWS_SECRET_ACCESS_KEY=", + "AWS_ACCESS_KEY_ID=", + "HTTP_AUTHORIZATION=", + "--token-budget", "512", + ] + + +def test_command_provenance_redacts_fragment_credentials_without_hiding_normal_options(): + assert redact_command([ + "--token-budget", "512", "--tokenizer-model", "reader-v1", + "https://example.test/callback#access_token=do-not-publish&state=visible", + ]) == [ + "--token-budget", "512", "--tokenizer-model", "reader-v1", + "https://example.test/callback#access_token=%3Credacted%3E&state=visible", + ] + + +def test_command_provenance_redacts_embedded_and_signed_url_credentials(): + assert redact_command([ + "DATASET_URL=https://example.test/data?access_token=do-not-publish", + "--dataset-url=https://example.test/data?X-Amz-Signature=signed&sig=azure", + "https://example.test/data?signature=generic", + ]) == [ + "DATASET_URL=https://example.test/data?access_token=%3Credacted%3E", + "--dataset-url=https://example.test/data?X-Amz-Signature=%3Credacted%3E&sig=%3Credacted%3E", + "https://example.test/data?signature=%3Credacted%3E", + ] + + +def test_command_provenance_redacts_userinfo_when_a_url_port_is_malformed(): + assert redact_command([ + "https://alice:password@example.test:notaport/path?access_token=do-not-publish", + ]) == [ + "https://@example.test:notaport/path?access_token=%3Credacted%3E", + ] + + +def test_command_provenance_fails_closed_when_url_splitting_rejects_userinfo(): + assert redact_command(["https://user:password@[invalid/path"]) == [""] + + +def test_canonical_profile_validator_and_immutable_artifact_writer(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + profile = json.loads(json.dumps(LONGMEMEVAL_V2_CANONICAL_PROFILE_TEMPLATE)) + profile["benchmark"]["repository_revision"] = "a" * 40 + profile["benchmark"]["dataset_revision"] = "b" * 40 + profile["reader"]["revision"] = "c" * 40 + profile["embedding"]["revision"] = "d" * 40 + profile["baseline_label"] = "full_hybrid" + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid", profile=profile + ) + report = _complete_canonical_report(dataset, config) + assert validate_report(report, canonical=True) == [] + dirty = deepcopy(report) + dirty["system"]["git_dirty"] = True + assert "canonical reports require a clean git worktree" in validate_report( + dirty, canonical=True + ) + artifact = tmp_path / "artifacts" / "run.json" + written = write_canonical_artifact(report, artifact, canonical=True) + assert written["sha256"] in artifact.with_name("run.json.sha256").read_text("ascii") + assert json.loads(artifact.read_text("utf-8"))["schema"] == SCHEMA + assert write_canonical_artifact(report, artifact, canonical=True) == written + changed = dict(report) + changed["records"] = [dict(report["records"][0])] + changed["records"][0]["latency_ms"] = 2.0 + with pytest.raises(FileExistsError): + write_canonical_artifact(changed, artifact, canonical=True) + + +def test_report_validator_recomputes_embedded_config_digest(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"baseline_label": "full_hybrid"}, + records=[question_record("q1")], git_commit="abc123", + ) + report["protocol"]["config"]["baseline_label"] = "dense_only" + + errors = validate_report(report) + + assert "system.config_sha256 must match the canonical protocol.config digest" in errors + + +def test_report_validator_rejects_inconsistent_or_duplicate_exclusions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + excluded = {"question_id": "q2", "reason": "no_gold_evidence", "detail": ""} + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, + records=[ + question_record("q1"), + question_record("q2", excluded=excluded), + ], + git_commit="abc123", + ) + assert validate_report(report) == [] + + report["exclusions"] = [excluded, excluded] + errors = validate_report(report) + assert "exclusion question_id values must be unique" in errors + + report["exclusions"] = [] + errors = validate_report(report) + assert "top-level exclusions must exactly match per-record exclusions" in errors + + +def test_default_canonical_profile_is_pinned_and_rejects_mutable_revisions(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + assert validate_report(report, canonical=True) == [] + assert all( + len(value) == 40 + for value in ( + config["canonical_profile"]["benchmark"]["repository_revision"], + config["canonical_profile"]["benchmark"]["dataset_revision"], + config["canonical_profile"]["reader"]["revision"], + config["canonical_profile"]["embedding"]["revision"], + ) + ) + assert config["token_budgets"] == list(CANONICAL_TOKEN_BUDGETS) + + config["canonical_profile"]["reader"]["revision"] = "main" + errors = validate_report(report, canonical=True) + assert any("reader.revision" in error and "immutable" in error for error in errors) + + +def test_canonical_validator_rejects_unpinned_commit_private_prompts_and_unlabeled_measurements(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["system"]["git_commit"] = "not-a-commit" + report["records"][0]["q"] = "private source question" + report["records"][0]["question_sha256"] = "a" * 64 + report["records"][0].pop("context_token_method") + report["metrics"].pop("recall_at_10") + + errors = validate_report(report, canonical=True) + + assert any("git_commit" in error for error in errors) + assert "canonical records must not contain raw query text" in errors + assert "canonical records must not contain question-derived hashes" in errors + assert any("context_token_method" in error for error in errors) + assert any("metrics.recall_at_10" in error for error in errors) + + config["canonical_profile"]["reader"]["revision"] = "C" * 40 + errors = validate_report(report, canonical=True) + assert any("reader.revision" in error and "immutable" in error for error in errors) + + +def test_canonical_validator_requires_grounded_metrics_or_explicit_unavailability(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["metrics"].pop("grounded_f1") + report["metrics"]["abstention_f1"] = {"available": False} + + errors = validate_report(report, canonical=True) + + assert any("grounded_f1" in error and "unavailable reason" in error for error in errors) + assert any("abstention_f1" in error and "unavailable reason" in error for error in errors) + + +def test_canonical_validator_requires_measured_rows_for_every_fixed_budget(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + report = _complete_canonical_report(dataset, config) + report["metrics"]["fixed_budget_curve"]["rows"].pop() + + errors = validate_report(report, canonical=True) + + assert "canonical fixed-budget curve must contain every canonical token budget" in errors + report["metrics"]["fixed_budget_curve"] = {"available": False, "reason": "not_run"} + errors = validate_report(report, canonical=True) + assert "canonical fixed-budget curve is unavailable and cannot qualify as evidence" in errors + + report = _complete_canonical_report(dataset, config) + report["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0]["excluded"] = True + errors = validate_report(report, canonical=True) + assert "canonical fixed-budget curve 256 records must preserve exclusion state" in errors + + +def test_canonical_validator_requires_complete_dataset_cardinality(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + assert validate_report(valid, canonical=True) == [] + + missing_complete = deepcopy(valid) + missing_complete["protocol"].pop("complete_dataset") + assert "canonical protocol.complete_dataset must be true" in validate_report( + missing_complete, canonical=True + ) + + for invalid_count in (True, 0, 2): + mismatched = deepcopy(valid) + mismatched["protocol"]["source_questions"] = invalid_count + errors = validate_report(mismatched, canonical=True) + assert any("protocol.source_questions" in error for error in errors) + + +def test_canonical_validator_rejects_invalid_numeric_and_token_accounting(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + config["token_budget"] = 4 + valid = _complete_canonical_report(dataset, config) + valid["records"][0]["usage"] = { + "budget_tokens": 4, + "context_tokens": 3, + "token_counter": valid["records"][0]["context_tokenizer_identity"], + } + assert validate_report(valid, canonical=True) == [] + + mutations = ( + (("metrics", "recall_at_1"), True, "metrics.recall_at_1"), + (("records", 0, "recall_at_1"), True, "records require recall_at_1"), + (("records", 0, "latency_ms"), float("inf"), "latency_ms"), + (("records", 0, "context_tokens"), float("nan"), "context_tokens"), + (("records", 0, "context_tokens"), -1, "context_tokens"), + (("records", 0, "context_tokens"), 5, "must not exceed protocol token_budget"), + ( + ("records", 0, "usage", "context_tokens"), + 5, + "usage.context_tokens must not exceed usage.budget_tokens", + ), + ( + ("records", 0, "usage", "budget_tokens"), + 5, + "usage.budget_tokens must equal protocol token_budget", + ), + ( + ("records", 0, "usage", "source_tokens"), + True, + "usage.source_tokens must be non-negative and finite", + ), + ( + ("records", 0, "usage", "savings_ratio"), + float("inf"), + "usage.savings_ratio must be a number in [0, 1]", + ), + ( + ("metrics", "fixed_budget_curve", "rows", 0, "recall_at_1"), + True, + "fixed-budget curve 256 requires recall_at_1", + ), + ( + ("metrics", "fixed_budget_curve", "rows", 0, "records", 0, "context_tokens"), + 257, + "context_tokens within budget", + ), + ) + for path, value, expected in mutations: + report = deepcopy(valid) + target = report + for key in path[:-1]: + target = target[key] + target[path[-1]] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (path, errors) + + +def test_canonical_validator_rejects_tampered_confidence_intervals(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + assert validate_report(valid, canonical=True) == [] + + mutations = ( + ("point", float("nan"), "point/low/high must be finite"), + ("low", -0.1, "point/low/high must be finite"), + ("high", 1.1, "point/low/high must be finite"), + ("high", 0.5, "low <= point <= high"), + ("point", 0.5, ".point must match metrics.recall_at_1"), + ("n", 2, ".n must equal the non-excluded record count"), + ("seed", -1, ".seed must be a non-negative integer"), + ("iterations", 0, ".iterations must be a positive integer"), + ("iterations", -1, ".iterations must be a positive integer"), + ("iterations", True, ".iterations must be a positive integer"), + ("strata_key", "topic", ".strata_key must equal category"), + ("low", 0.75, "must exactly match deterministic recomputation"), + ) + for key, value, expected in mutations: + report = deepcopy(valid) + report["metrics"]["confidence_intervals"]["recall_at_1"][key] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (key, value, errors) + for metric_name in ( + "recall_at_1", "recall_at_5", "recall_at_10", + "mrr_at_1", "mrr_at_5", "mrr_at_10", + "ndcg_at_1", "ndcg_at_5", "ndcg_at_10", + ): + report = deepcopy(valid) + interval = report["metrics"]["confidence_intervals"][metric_name] + if interval["low"] > 0: + interval["low"] = round(interval["low"] - 0.000001, 6) + else: + interval["high"] = round(interval["high"] + 0.000001, 6) + errors = validate_report(report, canonical=True) + assert any( + "must exactly match deterministic recomputation" in error + for error in errors + ), (metric_name, errors) + + extra = deepcopy(valid) + extra["metrics"]["confidence_intervals"]["recall_at_1"]["mean"] = 1.0 + errors = validate_report(extra, canonical=True) + assert any("must match the canonical confidence interval schema" in error for error in errors) + + missing = deepcopy(valid) + missing["metrics"]["confidence_intervals"].pop("recall_at_1") + errors = validate_report(missing, canonical=True) + assert ( + "canonical metrics.confidence_intervals must exactly cover every rank metric" + in errors + ) + + +def test_canonical_validator_rejects_tampered_paired_bootstrap_payloads(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + unavailable_mutations = ( + ("reason", "", ".reason must be a non-empty string"), + ("n", 1, ".n must be zero when unavailable"), + ("delta", 0.0, "delta/low/high must be null when unavailable"), + ("iterations", 0, ".iterations must be a positive integer"), + ("iterations", True, ".iterations must be a positive integer"), + ) + for key, value, expected in unavailable_mutations: + report = deepcopy(valid) + report["metrics"]["paired_bootstrap"][key] = value + errors = validate_report(report, canonical=True) + assert any(expected in error for error in errors), (key, value, errors) + + available = deepcopy(valid) + available["metrics"]["paired_bootstrap"] = { + "available": True, + "metric": "recall_at_5", + "delta": 0.25, + "low": 0.0, + "high": 0.5, + "n": 1, + "seed": 20260729, + "iterations": 20, + } + errors = validate_report(available, canonical=True) + assert any( + "must be unavailable until an immutable baseline artifact" in error + for error in errors + ) + + +def test_canonical_validator_recomputes_all_rank_aggregates_from_record_ids(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + top_level = deepcopy(valid) + top_level["metrics"]["recall_at_5"] = 0.5 + errors = validate_report(top_level, canonical=True) + assert ( + "canonical metrics.recall_at_5 must equal the non-excluded record mean" + in errors + ) + + curve_aggregate = deepcopy(valid) + curve_aggregate["metrics"]["fixed_budget_curve"]["rows"][0]["ndcg_at_10"] = 0.5 + errors = validate_report(curve_aggregate, canonical=True) + assert any( + "fixed-budget curve 256 ndcg_at_10" in error + and "non-excluded record mean" in error + for error in errors + ) + + curve_measurement = deepcopy(valid) + measurement = curve_measurement["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0] + measurement["retrieved_ids"] = [] + errors = validate_report(curve_measurement, canonical=True) + assert any( + "fixed-budget curve 256 record recall_at_1" in error + and "retrieved_ids and supporting_ids" in error + for error in errors + ) + + +def test_canonical_validator_derives_numeric_grounded_metrics_from_labels(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + + unlabeled = _complete_canonical_report(dataset, config) + unlabeled["metrics"]["grounded_f1"] = 0.75 + unlabeled["metrics"]["abstention_f1"] = 0.75 + errors = validate_report(unlabeled, canonical=True) + assert any( + "metrics.grounded_f1 requires labeled per-question grounded values" in error + and "unavailable reason" in error + for error in errors + ) + assert any( + "metrics.abstention_f1 requires labeled per-question abstained values" in error + and "unavailable reason" in error + for error in errors + ) + + measured = _complete_canonical_report(dataset, config) + measured["records"][0].update({ + "answerable": True, + "grounded": True, + "abstained": False, + }) + measured["metrics"]["grounded"] = { + "available": True, + **metrics.grounded_precision_recall_f1([True], [True]), + } + measured["metrics"]["abstention"] = { + "available": True, + **metrics.abstention_precision_recall_f1([False], [True]), + } + measured["metrics"]["grounded_f1"] = 1.0 + measured["metrics"]["abstention_f1"] = 1.0 + assert validate_report(measured, canonical=True) == [] + + bad_count = deepcopy(measured) + bad_count["metrics"]["grounded"]["n"] = 2 + errors = validate_report(bad_count, canonical=True) + assert ( + "canonical metrics.grounded.n must be recomputed from per-question labels" + in errors + ) + + measured["metrics"]["grounded_f1"] = 0.0 + errors = validate_report(measured, canonical=True) + assert ( + "canonical metrics.grounded_f1 must be recomputed from per-question labels" + in errors + ) + + +def test_canonical_validator_requires_pinned_reader_tokenizer_identity(tmp_path): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + config = canonical_benchmark_config( + run_label="release-candidate", baseline_label="full_hybrid" + ) + valid = _complete_canonical_report(dataset, config) + + estimated = deepcopy(valid) + estimated["records"][0]["context_token_method"] = "deterministic_estimate" + estimated["metrics"]["fixed_budget_curve"]["rows"][0]["records"][0][ + "context_token_method" + ] = "deterministic_estimate" + errors = validate_report(estimated, canonical=True) + assert any( + "context_token_method=pinned_reader_content_tokenizer" in error + for error in errors + ) + assert any( + "fixed-budget curve 256 records require" in error + and "context_token_method=pinned_reader_content_tokenizer" in error + for error in errors + ) + + mismatched = deepcopy(valid) + mismatched["records"][0]["context_tokenizer_identity"] = "other/model@" + "e" * 40 + mismatched["records"][0]["usage"]["token_counter"] = "other/model@" + "e" * 40 + errors = validate_report(mismatched, canonical=True) + assert any("context_tokenizer_identity must match" in error for error in errors) + assert any("usage.token_counter must match" in error for error in errors) + + +def test_benchmark_cli_writes_canonical_json_and_checksum(tmp_path, capsys): + dataset = tmp_path / "fixture.jsonl" + dataset.write_text('{"id":"one"}\n', encoding="utf-8") + report = report_envelope( + suite="fixture", dataset_path=dataset, config={"k": 5}, + records=[question_record("q1")], git_commit="abc123", + ) + source = tmp_path / "source.json" + source.write_text(json.dumps(report), encoding="utf-8") + artifact = tmp_path / "artifact.json" + assert main(["--input", str(source), "--output", str(artifact)]) == 0 + assert artifact.exists() and artifact.with_name("artifact.json.sha256").exists() + assert "sha256" in capsys.readouterr().out + + +def test_exact_tokenizer_fallback_budget_curves_and_deterministic_cis(): + assert count_tokens("abc", CharacterTokenizer()) == {"tokens": 3, "method": "injected"} + assert count_tokens("one two")["method"] == "deterministic_estimate" + records = [ + {"category": "a", "supporting_ids": ["m1"], "chunks": [ + {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} + ]}, + {"category": "b", "supporting_ids": ["m2"], "chunks": [ + {"id": "m1", "tokens": 3}, {"id": "m2", "tokens": 3} + ]}, + ] + curve = fixed_budget_curve(records, [3, 6]) + assert curve[0]["recall"] == 0.5 + assert curve[1]["recall"] == 1.0 + def metric(rows): + return sum(row["value"] for row in rows) / len(rows) + ci_one = stratified_bootstrap_ci( + [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], + metric, iterations=40, seed=4, + ) + ci_two = stratified_bootstrap_ci( + [{"category": "a", "value": 1.0}, {"category": "b", "value": 0.0}], + metric, iterations=40, seed=4, + ) + assert ci_one == ci_two + paired = paired_bootstrap_ci([(1.0, 0.0), (0.0, 0.0)], iterations=40, seed=4) + assert paired["delta"] == 0.5 and paired["n"] == 2 diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index c1fc9171..e8ca7707 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -1,318 +1,318 @@ -from __future__ import annotations - -import ast -import hashlib -import json -import re -import xml.etree.ElementTree as ET -from pathlib import Path - - -from engraphis.core.schema import SCHEMA_VERSION - - -ROOT = Path(__file__).resolve().parents[1] - - -def _read(path: str) -> str: - return (ROOT / path).read_text(encoding="utf-8") - - - -def test_readme_long_description_uses_no_repository_relative_targets() -> None: - readme = _read("README.md") - destinations = re.findall( - r"!?\[[^\]]*\]\(([^) ]+)|(?:href|src)=\"([^\"]+)\"", - readme, - ) - flattened = [markdown or html for markdown, html in destinations] - relative = [ - destination - for destination in flattened - if not destination.startswith(("#", "https://", "http://")) - ] - assert not relative - - image_targets = [ - destination - for destination in flattened - if destination.endswith((".png", ".svg")) - ] - assert image_targets - assert all( - target.startswith( - "https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/main/" - ) - or target.startswith("https://img.shields.io/") - for target in image_targets - ) - -def test_canonical_offline_gate_tracks_ci() -> None: - agents = _read("AGENTS.md") - claude = _read("CLAUDE.md") - workflow = _read(".github/workflows/ci.yml") - required = ( - "ruff check .", - "python scripts/check_commercial_manifest.py", - "python scripts/externalize_dashboard_assets.py", - "python -m pytest", - "python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5", - "python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5", - "python -m eval.ablation", - "python -m eval.reinforcement", - "python -m eval.adversarial_memory_security", - "python -m eval.grounded", - "python -m eval.code_arm", - "pyright", - ) - - for command in required: - assert command in agents, f"AGENTS.md omits the canonical gate command: {command}" - assert command in workflow, f"CI omits the documented gate command: {command}" - - assert "Use the exact primary offline gate in `AGENTS.md` §1" in claude - assert "do not maintain a smaller duplicate here" in claude - - -def test_core_backend_imports_stay_behind_outer_composition_root() -> None: - violations: list[str] = [] - for path in sorted((ROOT / "engraphis" / "core").glob("*.py")): - tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path)) - for node in ast.walk(tree): - if not isinstance(node, ast.ImportFrom): - continue - module = node.module or "" - if module.startswith("engraphis.backends"): - violations.append(f"{path.relative_to(ROOT)} imports {module}") - assert not violations, violations - - factory = ast.parse(_read("engraphis/factory.py"), filename="engraphis/factory.py") - backend_modules = { - node.module - for node in ast.walk(factory) - if isinstance(node, ast.ImportFrom) - and (node.module or "").startswith("engraphis.backends") - } - assert backend_modules, "outer composition root no longer imports concrete backends" - package = _read("engraphis/__init__.py") - assert "configure_engine_factory(_default_memory_engine_factory)" in package - assert "create_memory_engine" in package - - for document in (_read("AGENTS.md"), _read("CLAUDE.md"), _read("README.md")): - normalized = " ".join(document.split()) - assert "engraphis/factory.py" in normalized - assert "outer composition root" in normalized - assert "core/engine.py" in normalized - - -def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: - """The current image and its alt text expose only current registered boundaries.""" - registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v102.json" - registry_bytes = registry_path.read_bytes() - registry = json.loads(registry_bytes) - measurements = {run["id"]: run["result"] for run in registry["runs"]} - payload = measurements["offline-performance"] - readme = _read("README.md") - svg_text = _read("docs/images/context-efficiency.svg") - svg_root = ET.fromstring(svg_text) - namespace = {"svg": "http://www.w3.org/2000/svg"} - visible_labels = {"".join(node.itertext()).strip() - for node in svg_root.findall(".//svg:text", namespace)} - assert hashlib.sha256(registry_bytes).hexdigest()[:12] in visible_labels - description_node = svg_root.find("svg:desc", namespace) - assert description_node is not None - description = " ".join("".join(description_node.itertext()).lower().split()) - image = re.search( - r']+context-efficiency\.svg[^>]+alt="([^"]+)"', - readme, - flags=re.IGNORECASE, - ) - assert image is not None - alternative = " ".join(image.group(1).lower().split()) - - assert "registered deterministic fixtures" in alternative - assert "structure-aware chunks reduce retrieved context" in alternative - assert "retrieved-candidate quality is labeled separately" in alternative - assert "packed-context quality" in alternative - assert "both measured in the selected report" in alternative - assert "actual mcp transport and provider billing are not measured" in alternative - assert "740.3 to 214.3 tokens" in alternative - assert "162.2 to 42.4 tokens" in alternative - assert ( - f"{payload['compact_serialized_payload_tokens']:,} rather than " - f"{payload['full_serialized_payload_tokens']:,} tokens" - ) in alternative - - for evidence in ( - "artifact-driven local deterministic benchmark report", - "structure-aware chunks report 740.3 to 214.3 retrieved tokens per question", - "retrieved-candidate quality and packed-context quality are separate views", - f"{payload['full_serialized_payload_tokens']:,} full-proxy versus " - f"{payload['compact_serialized_payload_tokens']:,} compact-proxy tokens", - "not an mcp transport measurement", - "does not measure provider billing", - "1,500-token cap", - ): - assert evidence in description - - for unsupported in ("unpinned", "noncanonical", "leaderboard"): - assert unsupported not in alternative - assert unsupported not in description - - for retired in ("local locomo diagnostic", "3 of 15 queries", "0 of 3 to 3 of 3"): - assert retired not in alternative - assert retired not in description - - -def test_official_longmemeval_runbook_tracks_attested_evidence_contract() -> None: - benchmarks = _read("BENCHMARKS.md") - runbook = _read("docs/PUBLIC_BENCHMARK_RUNBOOK.md") - normalized_benchmarks = " ".join(benchmarks.split()) - normalized_runbook = " ".join(runbook.split()) - - for value in ( - "balanced", - "planner", - "episodic_cap_2", - "planner_episodic_cap_2", - "context_k_2", - "planner_context_k_2", - ): - assert value in runbook - assert "30 official runs" in runbook - assert "six declared variants at all five token budgets" in normalized_benchmarks - assert "context_k=2" in runbook - - for option in ( - "--engraphis-execution-manifest", - "--engraphis-per-question", - "--engraphis-questions", - "--engraphis-haystack", - "--engraphis-trajectories", - "--engraphis-memory-config", - "--engraphis-matrix-manifest", - "--engraphis-seed", - "--execution-manifest", - "--claims-input", - ): - assert option in runbook - assert "set equality between every source question ID and output question ID" in runbook - assert "only after a successful return" in normalized_benchmarks.lower() - assert "inserted and retrieved counts by memory type" in normalized_runbook - assert "at least two inserted memory types" in normalized_runbook - - assert "does not publish per-record content fingerprints" in normalized_benchmarks - assert "whole-input/source-file digests" in normalized_runbook - assert "no raw questions, answers, prompts, context" in normalized_runbook - assert "no per-record content hashes or fingerprints" in normalized_runbook - - -def test_scope_and_event_guidance_match_fail_closed_runtime_contract() -> None: - readme = _read("README.md") - skill = _read("skills/engraphis-memory/SKILL.md") - scoping = _read("skills/engraphis-memory/references/SCOPING.md") - conventions = _read("skills/engraphis-memory/references/CONVENTIONS.md") - tools = _read("skills/engraphis-memory/references/TOOLS.md") - kilo = _read("docs/KILO_CODE_INTEGRATION.md") - - for document in (readme, skill, scoping, tools, kilo): - normalized = " ".join(document.split()) - assert "reserved and rejected" in normalized - assert "owner identity" in normalized - - for document in (conventions, tools): - normalized = " ".join(document.lower().split()) - assert "event rows are not memories" in normalized - assert "not recalled" in normalized - assert "not" in normalized and "consolidated" in normalized - - assert 'mtype="episodic"' in conventions - assert "≤0.2" in conventions - - -def test_configuration_and_recovery_guidance_matches_public_contracts() -> None: - readme = _read("README.md") - security = _read("SECURITY.md") - connect = _read("docs/AGENT_CONNECT.md") - providers = _read("docs/LLM_PROVIDERS.md") - recovery = _read("docs/RECALL_RECOVERY.md") - sync = _read("docs/SYNC.md") - - for document in (readme, security, connect, providers, sync): - normalized = " ".join(document.split()) - assert "~/.engraphis/config.env" in normalized - assert "ENGRAPHIS_ENV_FILE" in normalized - assert re.search(r"(?:never|does not) search(?:es)? the working directory", normalized) - - assert "repaired_fields" in recovery - assert "v1_memory_id" in recovery - assert "v1_thought_id" in recovery - assert "v1_document_id" in recovery - assert "first contact" in sync - assert "incomplete" in sync - assert "unanchored" in sync - assert "--relay-token" in sync and "--relay-e2ee-key" in sync - assert "intentionally has no secret-valued" in sync - - - -def test_schema_and_erasure_docs_match_live_export_policy() -> None: - agents = _read("AGENTS.md") - readme = _read("README.md") - changelog = _read("CHANGELOG.md") - sync = _read("docs/SYNC.md") - erasure = _read("docs/SECURE_ERASURE.md") - schema = _read("engraphis/core/schema.py") - - assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in schema - assert agents.count(f"`SCHEMA_VERSION = {SCHEMA_VERSION}`") == 2 - assert f"schema {SCHEMA_VERSION}" in readme - assert f"schema {SCHEMA_VERSION}" in changelog - - for document in (agents, readme, changelog, sync, erasure): - normalized = " ".join(document.split()) - assert "never_export" in normalized - assert "remote_erasure" in normalized - - normalized_sync = " ".join(sync.split()) - assert "only `remote_erasure`" in normalized_sync - assert "never leave the device" in normalized_sync - assert "cannot later be upgraded" in normalized_sync - assert "only a non-secret workspace/repo record" in erasure - - -def test_document_import_docs_describe_the_source_neutral_contract() -> None: - readme = _read("README.md") - agents = _read("AGENTS.md") - guide = _read("docs/DOCUMENT_IMPORT.md") - obsidian = _read("docs/OBSIDIAN_IMPORT.md") - - for document in (readme, guide): - assert "engraphis import documents" in document - assert "--dry-run" in document - assert "--yes" in document - for format_name in ( - "Markdown", "reStructuredText", "HTML", "JSON", "CSV", "DOCX", "ODT", - "RTF", "XLSX", "ODS", "PPTX", "ODP", "EPUB", "Source code", - ): - assert format_name in guide - for safety_term in ("symlink", "secret", "unsupported", "resumable", "temporal", "conflict"): - assert safety_term in guide - assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in agents - assert "source-neutral" in agents - assert "rich Markdown adapter" in obsidian - assert "DOCUMENT_IMPORT.md" in obsidian - - -def test_consolidation_docs_expose_only_live_public_options() -> None: - readme = _read("README.md") - tools = _read("skills/engraphis-memory/references/TOOLS.md") - changelog = _read("CHANGELOG.md") - - for document in (readme, tools, changelog): - assert "supersede_sources" not in document - assert "supersede-sources" not in document - - assert "source episodes remain live" in readme - normalized_tools = " ".join(tools.split()) - assert "`profiles (bool, false)`; `structured (bool, false)`." in normalized_tools +from __future__ import annotations + +import ast +import hashlib +import json +import re +import xml.etree.ElementTree as ET +from pathlib import Path + + +from engraphis.core.schema import SCHEMA_VERSION + + +ROOT = Path(__file__).resolve().parents[1] + + +def _read(path: str) -> str: + return (ROOT / path).read_text(encoding="utf-8") + + + +def test_readme_long_description_uses_no_repository_relative_targets() -> None: + readme = _read("README.md") + destinations = re.findall( + r"!?\[[^\]]*\]\(([^) ]+)|(?:href|src)=\"([^\"]+)\"", + readme, + ) + flattened = [markdown or html for markdown, html in destinations] + relative = [ + destination + for destination in flattened + if not destination.startswith(("#", "https://", "http://")) + ] + assert not relative + + image_targets = [ + destination + for destination in flattened + if destination.endswith((".png", ".svg")) + ] + assert image_targets + assert all( + target.startswith( + "https://raw.githubusercontent.com/Coding-Dev-Tools/engraphis/main/" + ) + or target.startswith("https://img.shields.io/") + for target in image_targets + ) + +def test_canonical_offline_gate_tracks_ci() -> None: + agents = _read("AGENTS.md") + claude = _read("CLAUDE.md") + workflow = _read(".github/workflows/ci.yml") + required = ( + "ruff check .", + "python scripts/check_commercial_manifest.py", + "python scripts/externalize_dashboard_assets.py", + "python -m pytest", + "python -m eval.harness --dataset eval/datasets/sample.jsonl --k 5", + "python -m eval.harness --dataset eval/datasets/codemem.jsonl --k 5", + "python -m eval.ablation", + "python -m eval.reinforcement", + "python -m eval.adversarial_memory_security", + "python -m eval.grounded", + "python -m eval.code_arm", + "pyright", + ) + + for command in required: + assert command in agents, f"AGENTS.md omits the canonical gate command: {command}" + assert command in workflow, f"CI omits the documented gate command: {command}" + + assert "Use the exact primary offline gate in `AGENTS.md` §1" in claude + assert "do not maintain a smaller duplicate here" in claude + + +def test_core_backend_imports_stay_behind_outer_composition_root() -> None: + violations: list[str] = [] + for path in sorted((ROOT / "engraphis" / "core").glob("*.py")): + tree = ast.parse(path.read_text(encoding="utf-8"), filename=str(path)) + for node in ast.walk(tree): + if not isinstance(node, ast.ImportFrom): + continue + module = node.module or "" + if module.startswith("engraphis.backends"): + violations.append(f"{path.relative_to(ROOT)} imports {module}") + assert not violations, violations + + factory = ast.parse(_read("engraphis/factory.py"), filename="engraphis/factory.py") + backend_modules = { + node.module + for node in ast.walk(factory) + if isinstance(node, ast.ImportFrom) + and (node.module or "").startswith("engraphis.backends") + } + assert backend_modules, "outer composition root no longer imports concrete backends" + package = _read("engraphis/__init__.py") + assert "configure_engine_factory(_default_memory_engine_factory)" in package + assert "create_memory_engine" in package + + for document in (_read("AGENTS.md"), _read("CLAUDE.md"), _read("README.md")): + normalized = " ".join(document.split()) + assert "engraphis/factory.py" in normalized + assert "outer composition root" in normalized + assert "core/engine.py" in normalized + + +def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None: + """The current image and its alt text expose only current registered boundaries.""" + registry_path = ROOT / "docs/benchmark-evidence/offline-fixtures-v102.json" + registry_bytes = registry_path.read_bytes() + registry = json.loads(registry_bytes) + measurements = {run["id"]: run["result"] for run in registry["runs"]} + payload = measurements["offline-performance"] + readme = _read("README.md") + svg_text = _read("docs/images/context-efficiency.svg") + svg_root = ET.fromstring(svg_text) + namespace = {"svg": "http://www.w3.org/2000/svg"} + visible_labels = {"".join(node.itertext()).strip() + for node in svg_root.findall(".//svg:text", namespace)} + assert hashlib.sha256(registry_bytes).hexdigest()[:12] in visible_labels + description_node = svg_root.find("svg:desc", namespace) + assert description_node is not None + description = " ".join("".join(description_node.itertext()).lower().split()) + image = re.search( + r']+context-efficiency\.svg[^>]+alt="([^"]+)"', + readme, + flags=re.IGNORECASE, + ) + assert image is not None + alternative = " ".join(image.group(1).lower().split()) + + assert "registered deterministic fixtures" in alternative + assert "structure-aware chunks reduce retrieved context" in alternative + assert "retrieved-candidate quality is labeled separately" in alternative + assert "packed-context quality" in alternative + assert "both measured in the selected report" in alternative + assert "actual mcp transport and provider billing are not measured" in alternative + assert "740.3 to 214.3 tokens" in alternative + assert "162.2 to 42.4 tokens" in alternative + assert ( + f"{payload['compact_serialized_payload_tokens']:,} rather than " + f"{payload['full_serialized_payload_tokens']:,} tokens" + ) in alternative + + for evidence in ( + "artifact-driven local deterministic benchmark report", + "structure-aware chunks report 740.3 to 214.3 retrieved tokens per question", + "retrieved-candidate quality and packed-context quality are separate views", + f"{payload['full_serialized_payload_tokens']:,} full-proxy versus " + f"{payload['compact_serialized_payload_tokens']:,} compact-proxy tokens", + "not an mcp transport measurement", + "does not measure provider billing", + "1,500-token cap", + ): + assert evidence in description + + for unsupported in ("unpinned", "noncanonical", "leaderboard"): + assert unsupported not in alternative + assert unsupported not in description + + for retired in ("local locomo diagnostic", "3 of 15 queries", "0 of 3 to 3 of 3"): + assert retired not in alternative + assert retired not in description + + +def test_official_longmemeval_runbook_tracks_attested_evidence_contract() -> None: + benchmarks = _read("BENCHMARKS.md") + runbook = _read("docs/PUBLIC_BENCHMARK_RUNBOOK.md") + normalized_benchmarks = " ".join(benchmarks.split()) + normalized_runbook = " ".join(runbook.split()) + + for value in ( + "balanced", + "planner", + "episodic_cap_2", + "planner_episodic_cap_2", + "context_k_2", + "planner_context_k_2", + ): + assert value in runbook + assert "30 official runs" in runbook + assert "six declared variants at all five token budgets" in normalized_benchmarks + assert "context_k=2" in runbook + + for option in ( + "--engraphis-execution-manifest", + "--engraphis-per-question", + "--engraphis-questions", + "--engraphis-haystack", + "--engraphis-trajectories", + "--engraphis-memory-config", + "--engraphis-matrix-manifest", + "--engraphis-seed", + "--execution-manifest", + "--claims-input", + ): + assert option in runbook + assert "set equality between every source question ID and output question ID" in runbook + assert "only after a successful return" in normalized_benchmarks.lower() + assert "inserted and retrieved counts by memory type" in normalized_runbook + assert "at least two inserted memory types" in normalized_runbook + + assert "does not publish per-record content fingerprints" in normalized_benchmarks + assert "whole-input/source-file digests" in normalized_runbook + assert "no raw questions, answers, prompts, context" in normalized_runbook + assert "no per-record content hashes or fingerprints" in normalized_runbook + + +def test_scope_and_event_guidance_match_fail_closed_runtime_contract() -> None: + readme = _read("README.md") + skill = _read("skills/engraphis-memory/SKILL.md") + scoping = _read("skills/engraphis-memory/references/SCOPING.md") + conventions = _read("skills/engraphis-memory/references/CONVENTIONS.md") + tools = _read("skills/engraphis-memory/references/TOOLS.md") + kilo = _read("docs/KILO_CODE_INTEGRATION.md") + + for document in (readme, skill, scoping, tools, kilo): + normalized = " ".join(document.split()) + assert "reserved and rejected" in normalized + assert "owner identity" in normalized + + for document in (conventions, tools): + normalized = " ".join(document.lower().split()) + assert "event rows are not memories" in normalized + assert "not recalled" in normalized + assert "not" in normalized and "consolidated" in normalized + + assert 'mtype="episodic"' in conventions + assert "≤0.2" in conventions + + +def test_configuration_and_recovery_guidance_matches_public_contracts() -> None: + readme = _read("README.md") + security = _read("SECURITY.md") + connect = _read("docs/AGENT_CONNECT.md") + providers = _read("docs/LLM_PROVIDERS.md") + recovery = _read("docs/RECALL_RECOVERY.md") + sync = _read("docs/SYNC.md") + + for document in (readme, security, connect, providers, sync): + normalized = " ".join(document.split()) + assert "~/.engraphis/config.env" in normalized + assert "ENGRAPHIS_ENV_FILE" in normalized + assert re.search(r"(?:never|does not) search(?:es)? the working directory", normalized) + + assert "repaired_fields" in recovery + assert "v1_memory_id" in recovery + assert "v1_thought_id" in recovery + assert "v1_document_id" in recovery + assert "first contact" in sync + assert "incomplete" in sync + assert "unanchored" in sync + assert "--relay-token" in sync and "--relay-e2ee-key" in sync + assert "intentionally has no secret-valued" in sync + + + +def test_schema_and_erasure_docs_match_live_export_policy() -> None: + agents = _read("AGENTS.md") + readme = _read("README.md") + changelog = _read("CHANGELOG.md") + sync = _read("docs/SYNC.md") + erasure = _read("docs/SECURE_ERASURE.md") + schema = _read("engraphis/core/schema.py") + + assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in schema + assert agents.count(f"`SCHEMA_VERSION = {SCHEMA_VERSION}`") == 2 + assert f"schema {SCHEMA_VERSION}" in readme + assert f"schema {SCHEMA_VERSION}" in changelog + + for document in (agents, readme, changelog, sync, erasure): + normalized = " ".join(document.split()) + assert "never_export" in normalized + assert "remote_erasure" in normalized + + normalized_sync = " ".join(sync.split()) + assert "only `remote_erasure`" in normalized_sync + assert "never leave the device" in normalized_sync + assert "cannot later be upgraded" in normalized_sync + assert "only a non-secret workspace/repo record" in erasure + + +def test_document_import_docs_describe_the_source_neutral_contract() -> None: + readme = _read("README.md") + agents = _read("AGENTS.md") + guide = _read("docs/DOCUMENT_IMPORT.md") + obsidian = _read("docs/OBSIDIAN_IMPORT.md") + + for document in (readme, guide): + assert "engraphis import documents" in document + assert "--dry-run" in document + assert "--yes" in document + for format_name in ( + "Markdown", "reStructuredText", "HTML", "JSON", "CSV", "DOCX", "ODT", + "RTF", "XLSX", "ODS", "PPTX", "ODP", "EPUB", "Source code", + ): + assert format_name in guide + for safety_term in ("symlink", "secret", "unsupported", "resumable", "temporal", "conflict"): + assert safety_term in guide + assert f"SCHEMA_VERSION = {SCHEMA_VERSION}" in agents + assert "source-neutral" in agents + assert "rich Markdown adapter" in obsidian + assert "DOCUMENT_IMPORT.md" in obsidian + + +def test_consolidation_docs_expose_only_live_public_options() -> None: + readme = _read("README.md") + tools = _read("skills/engraphis-memory/references/TOOLS.md") + changelog = _read("CHANGELOG.md") + + for document in (readme, tools, changelog): + assert "supersede_sources" not in document + assert "supersede-sources" not in document + + assert "source episodes remain live" in readme + normalized_tools = " ".join(tools.split()) + assert "`profiles (bool, false)`; `structured (bool, false)`." in normalized_tools From 3af569ca272552c2d245e19fd0ff7cfc72301e84 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:30:14 -0400 Subject: [PATCH 42/64] Keep evidence refresh limited to changed content --- BENCHMARKS.md | 230 +++++++++++++------------- CHANGELOG.md | 224 ++++++++++++------------- README.md | 92 +++++------ tests/test_benchmark_evidence.py | 24 +-- tests/test_documentation_contracts.py | 4 +- 5 files changed, 287 insertions(+), 287 deletions(-) diff --git a/BENCHMARKS.md b/BENCHMARKS.md index 57370609..75394051 100644 --- a/BENCHMARKS.md +++ b/BENCHMARKS.md @@ -6,102 +6,102 @@ those results. When this document and the code disagree, the code is the source The current expansion has a separate [results and workload report](docs/BENCHMARK_EXPANSION_RESULTS.md), [execution runbook](docs/BENCHMARK_EXPANSION_RUNBOOK.md), and [proposed stage budgets](docs/BENCHMARK_STAGE_BUDGETS.md). Completed external retrieval diagnostics -are review artifacts with explicit denominators and uncertainty. The coding pilot uses Codex -OAuth only and retains fixture exclusions and interrupted calls. Official QA, competitor -scores and capacity qualification remain separate experiments. - -For the locked operator sequence for a public canonical run, see -[`docs/PUBLIC_BENCHMARK_RUNBOOK.md`](docs/PUBLIC_BENCHMARK_RUNBOOK.md). - -The current measured improvement priorities and their evidence boundaries are in -[`docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md`](docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md). -The implementation exposes three opt-in comparison controls: `packing_mode="coverage"` -for complete evidence units across sources, source-bound `exact_value` fields on the -Smart/Classic/service write paths, and `retrieval_recipe="conversation"` or `"long_session"` -for the measured depth/budget starting points. `"legacy"` packing and `"default"` -retrieval remain the defaults until development, validation and untouched-holdout gates -show a workload-specific benefit. +are review artifacts with explicit denominators and uncertainty. The coding pilot uses Codex +OAuth only and retains fixture exclusions and interrupted calls. Official QA, competitor +scores and capacity qualification remain separate experiments. + +For the locked operator sequence for a public canonical run, see +[`docs/PUBLIC_BENCHMARK_RUNBOOK.md`](docs/PUBLIC_BENCHMARK_RUNBOOK.md). + +The current measured improvement priorities and their evidence boundaries are in +[`docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md`](docs/BENCHMARK_IMPROVEMENT_PRIORITIES.md). +The implementation exposes three opt-in comparison controls: `packing_mode="coverage"` +for complete evidence units across sources, source-bound `exact_value` fields on the +Smart/Classic/service write paths, and `retrieval_recipe="conversation"` or `"long_session"` +for the measured depth/budget starting points. `"legacy"` packing and `"default"` +retrieval remain the defaults until development, validation and untouched-holdout gates +show a workload-specific benefit. `python -m eval.evidence_contracts` checks exact-action validation and compares legacy and coverage packing on small deterministic development fixtures. It runs in the full offline CI matrix and the NumPy-only Python 3.9 job. These fixtures -test boundary correctness; they do not estimate external QA or model task success. The -[current diagnostic](docs/benchmark-evidence/evidence-contracts-20260921-v11.json) -withholds the unchanged oversized, unpunctuated fixture at its 24-token budget: -no fitting sentence boundary proves that the remaining condition text can be dropped. -The prior literal-preservation result remains in the historical artifact. Tight budgets -can therefore return fewer exact values under the complete-group contract. -Action contracts also require the host to supply the actual source text when creating -and validating a contract. The source revision digest and literal offsets must match; -four additional diagnostic cases reject forged or stale bindings. Authorization -remains the responsibility of the trusted host. -Eight fixed query-window cases also check that unrelated bound values cannot displace the -requested evidence. Their original retention expectations remain unchanged: 4/8 passed on -`0244c45f`, 8/8 on `c3a86295`, and 5/8 under the current complete-source rule. Three tight -bound-value cases now withhold their binding. A separate source-completeness gate checks -the same eight inputs, improving from 5/8 to 8/8, including roomy binding controls. -These development fixtures and their source hashes remain separate from external quality -measurements. - -Five safe-withholding cases improve from 0/5 against `65f4becd` to 5/5. A separate -five-case retention population exposes a tradeoff: the earlier v8 implementation -retained the expected literals in 5/5 cases, while the complete-unit rule retains -0/5 at those unchanged tight budgets. These unpunctuated records do not fit as -complete units. Their original inputs, expected literals and outcomes remain in -the diagnostic; safe omission is not counted as successful literal retention. - -Eight distant-restriction cases improve from 5/8 on `98e8f5c2` to 8/8, including -roomy retention controls. Exact binding now requires the complete meaningful source, -regardless of language or recognized qualifier words. Boundary whitespace may be trimmed -only outside the literal. Coverage withholds the bound occurrence when that source cannot -fit, while it may still select other unbound evidence. This also prevents -`Only use ALPHA in production` from becoming `Only use ALPHA`. Complete-unit safety -remains 16/16 against 8/16 on `98e8f5c2` in its separate diagnostic and CI gate. -Headers, titles and source attribution remain inside the budget; expansion cannot restore -an incomplete binding. This conservative rule retains source text without inferring its -meaning or authorizing a downstream action. - -The default legacy packer also withholds exact binding metadata when its selected -excerpt omits part of the complete source. Eight fixed cases improve -from 4/8 on `833e3e92` to 8/8: four incomplete bindings are suppressed and four -complete bindings remain. All eight retain identical context text and token -accounting. The literal can still appear as ordinary text; this diagnostic measures -binding safety, not a retrieval or answer-quality gain. - -Twelve additional French, Chinese and English-synonym cases exercise both modes at fixed -budgets. Against `c3a86295`, the complete binding contract improves from 10/12 to 12/12 -for legacy and from 5/12 to 12/12 for coverage. Unsafe bindings fall from two to zero -and seven to zero, respectively. Coverage literal leaks fall from seven to zero; all five -roomy controls retain their exact bindings in both modes. Independent token accounting -matches the rendered context and all budgets are honored. The gate separately rejects -omitted roomy bindings, incorrect spans and token-accounting errors. This is a fixed -development population, not a claim of general multilingual understanding. - -Corpus replay rejects non-boolean trust and answerability labels before execution. -Direct campaign records also require boolean trust labels and reject contradictory -nested trust metadata. Peer evidence IDs must name a recorded source; returned -backend IDs must agree with that source or resolve through recorded episode lineage. -Frozen campaign scope and trust take precedence over peer labels, and unrecognized labels -remain unknown. Core/service recall results report the recipe's effective output -limit as `effective_k`; recall receipts preserve it as `metadata.k` together with -`retrieval_recipe` and normalized `packing_mode`, independently of the number of -results actually returned. Historical receipts without a mode remain valid and -do not acquire an inferred value. -Campaign adapters report the frozen manifest's evaluated revision; direct adapters -retain `unknown` provenance unless explicitly bound. These checks protect result -interpretation and do not count as additional benchmark-quality gains. - -### Public numeric evidence registry - -Every exact public aggregate retained below comes from the checked-in, public-safe -[`offline-fixtures-v102.json`](docs/benchmark-evidence/offline-fixtures-v102.json) artifact. Its -SHA-256 is -`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`, also recorded in the -adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, -or per-record content fingerprints. - -The fixture-suite digest is -`f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3`. The artifact defines +test boundary correctness; they do not estimate external QA or model task success. The +[current diagnostic](docs/benchmark-evidence/evidence-contracts-20260921-v11.json) +withholds the unchanged oversized, unpunctuated fixture at its 24-token budget: +no fitting sentence boundary proves that the remaining condition text can be dropped. +The prior literal-preservation result remains in the historical artifact. Tight budgets +can therefore return fewer exact values under the complete-group contract. +Action contracts also require the host to supply the actual source text when creating +and validating a contract. The source revision digest and literal offsets must match; +four additional diagnostic cases reject forged or stale bindings. Authorization +remains the responsibility of the trusted host. +Eight fixed query-window cases also check that unrelated bound values cannot displace the +requested evidence. Their original retention expectations remain unchanged: 4/8 passed on +`0244c45f`, 8/8 on `c3a86295`, and 5/8 under the current complete-source rule. Three tight +bound-value cases now withhold their binding. A separate source-completeness gate checks +the same eight inputs, improving from 5/8 to 8/8, including roomy binding controls. +These development fixtures and their source hashes remain separate from external quality +measurements. + +Five safe-withholding cases improve from 0/5 against `65f4becd` to 5/5. A separate +five-case retention population exposes a tradeoff: the earlier v8 implementation +retained the expected literals in 5/5 cases, while the complete-unit rule retains +0/5 at those unchanged tight budgets. These unpunctuated records do not fit as +complete units. Their original inputs, expected literals and outcomes remain in +the diagnostic; safe omission is not counted as successful literal retention. + +Eight distant-restriction cases improve from 5/8 on `98e8f5c2` to 8/8, including +roomy retention controls. Exact binding now requires the complete meaningful source, +regardless of language or recognized qualifier words. Boundary whitespace may be trimmed +only outside the literal. Coverage withholds the bound occurrence when that source cannot +fit, while it may still select other unbound evidence. This also prevents +`Only use ALPHA in production` from becoming `Only use ALPHA`. Complete-unit safety +remains 16/16 against 8/16 on `98e8f5c2` in its separate diagnostic and CI gate. +Headers, titles and source attribution remain inside the budget; expansion cannot restore +an incomplete binding. This conservative rule retains source text without inferring its +meaning or authorizing a downstream action. + +The default legacy packer also withholds exact binding metadata when its selected +excerpt omits part of the complete source. Eight fixed cases improve +from 4/8 on `833e3e92` to 8/8: four incomplete bindings are suppressed and four +complete bindings remain. All eight retain identical context text and token +accounting. The literal can still appear as ordinary text; this diagnostic measures +binding safety, not a retrieval or answer-quality gain. + +Twelve additional French, Chinese and English-synonym cases exercise both modes at fixed +budgets. Against `c3a86295`, the complete binding contract improves from 10/12 to 12/12 +for legacy and from 5/12 to 12/12 for coverage. Unsafe bindings fall from two to zero +and seven to zero, respectively. Coverage literal leaks fall from seven to zero; all five +roomy controls retain their exact bindings in both modes. Independent token accounting +matches the rendered context and all budgets are honored. The gate separately rejects +omitted roomy bindings, incorrect spans and token-accounting errors. This is a fixed +development population, not a claim of general multilingual understanding. + +Corpus replay rejects non-boolean trust and answerability labels before execution. +Direct campaign records also require boolean trust labels and reject contradictory +nested trust metadata. Peer evidence IDs must name a recorded source; returned +backend IDs must agree with that source or resolve through recorded episode lineage. +Frozen campaign scope and trust take precedence over peer labels, and unrecognized labels +remain unknown. Core/service recall results report the recipe's effective output +limit as `effective_k`; recall receipts preserve it as `metadata.k` together with +`retrieval_recipe` and normalized `packing_mode`, independently of the number of +results actually returned. Historical receipts without a mode remain valid and +do not acquire an inferred value. +Campaign adapters report the frozen manifest's evaluated revision; direct adapters +retain `unknown` provenance unless explicitly bound. These checks protect result +interpretation and do not count as additional benchmark-quality gains. + +### Public numeric evidence registry + +Every exact public aggregate retained below comes from the checked-in, public-safe +[`offline-fixtures-v102.json`](docs/benchmark-evidence/offline-fixtures-v102.json) artifact. Its +SHA-256 is +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`, also recorded in the +adjacent `.sha256` file. The artifact contains no raw questions, answers, prompts, customer data, +or per-record content fingerprints. + +The fixture-suite digest is +`f70fa9392f331e1c4ea8eb642d6c87bbd1b724be365004502082d3e8b7ff82f3`. The artifact defines the digest algorithm and records the SHA-256 of every suite and dataset file. Each evidence ID also binds its exact command through `sha256(UTF-8 exact command)`: @@ -123,20 +123,20 @@ Historical LoCoMo, graph, handoff, consolidation, and security figures remain pr source artifacts but are omitted from the current chart until each has a matching immutable, public-safe artifact. The chart labels coding outcomes, external datasets, and operational capacity as pending evaluation tracks rather than implying scores. Regenerate it with -`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/context-efficiency.svg` after selecting the report to publish. - -The companion examples are also generated from that artifact with -`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/evidence-backed-agent-examples.svg`. +`python scripts/render_benchmark_report.py --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/context-efficiency.svg` after selecting the report to publish. + +The companion examples are also generated from that artifact with +`python -m scripts.render_benchmark_examples --report docs/benchmark-evidence/offline-fixtures-v102.json --output docs/images/evidence-backed-agent-examples.svg`. The historical-to-executable mapping is in [`docs/BENCHMARK_CHANGE_COVERAGE.md`](docs/BENCHMARK_CHANGE_COVERAGE.md). -Fresh diagnostics retain explicit source-case identities so confidence intervals -cluster whole conversations even when question IDs do not encode their case. -Metrics with no eligible questions remain `null` (unscored), including fresh and -resumed runs. Artifact parsing, checksum validation, and queue receipts bind the -same byte snapshot. Comparisons require consistent dataset and repair bindings -while allowing the producer implementation to change between versions. - +Fresh diagnostics retain explicit source-case identities so confidence intervals +cluster whole conversations even when question IDs do not encode their case. +Metrics with no eligible questions remain `null` (unscored), including fresh and +resumed runs. Artifact parsing, checksum validation, and queue receipts bind the +same byte snapshot. Comparisons require consistent dataset and repair bindings +while allowing the producer implementation to change between versions. + ## What we measure today (all offline, no API key) Most Engraphis evals score **retrieval**, not end-to-end QA. The separate productivity benchmark @@ -179,9 +179,9 @@ frontier-model QA score. context packing; additive `packed_quality` fields score only chunks admitted to reader context. Payload proxies are sampled once per question, independently of the number of timed iterations; they are not serialized MCP envelopes or transport responses. In the - registered CodeMem run, 26 payload samples total **24,590** full-proxy - `engraphis.regex.v1` tokens versus **11,138** compact-proxy tokens, avoiding **13,452** proxy - tokens (**54.71% lower**), while 260 recalls are timed. Packed context across the same 26 + registered CodeMem run, 26 payload samples total **24,590** full-proxy + `engraphis.regex.v1` tokens versus **11,138** compact-proxy tokens, avoiding **13,452** proxy + tokens (**54.71% lower**), while 260 recalls are timed. Packed context across the same 26 samples averages **85.38** tokens and reaches **108** under a 1,500-token cap; Recall@5, hit@5, and answer-token recall remain 1.000 for the legacy candidate-page view. The registered v9 artifact predates `packed_quality`, so no packed-quality aggregate is published from it. @@ -307,15 +307,15 @@ per-question records, explicit exclusions, fixed-budget context curves, and dete stratified or paired bootstrap confidence intervals. Every run names its token counter. Noncanonical offline fixtures may identify a deterministic estimate; canonical public evidence requires the exact pinned reader tokenizer and immutable model revision. The lightweight CI -fixtures validate that machinery; they are not a claim about external benchmark performance. - -Public journey and external retrieval exports identify producer code by unique -repository-relative source names. Private dataset, conversation, repair, and -LongMemEval-V2 inputs use stable role names such as `inputs/dataset` or -`inputs/haystack`; their directories are never published. -Each name remains bound to its SHA-256 and byte count. The shared envelope keeps -basename-only defaults for other callers and historical artifacts; exporters opt in -with explicit `source_names` and verify the completed envelope against evaluated bytes. +fixtures validate that machinery; they are not a claim about external benchmark performance. + +Public journey and external retrieval exports identify producer code by unique +repository-relative source names. Private dataset, conversation, repair, and +LongMemEval-V2 inputs use stable role names such as `inputs/dataset` or +`inputs/haystack`; their directories are never published. +Each name remains bound to its SHA-256 and byte count. The shared envelope keeps +basename-only defaults for other callers and historical artifacts; exporters opt in +with explicit `source_names` and verify the completed envelope against evaluated bytes. The benchmark context metric reads strict recall usage fields rather than inferring prompt size: `budget_tokens`, `context_tokens`, `source_tokens`, `saved_tokens`, `savings_ratio`, diff --git a/CHANGELOG.md b/CHANGELOG.md index 80f86f1a..3f69f951 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,18 +1,18 @@ # Changelog -All notable changes to Engraphis are documented here. Format loosely follows -[Keep a Changelog](https://keepachangelog.com/); versions use SemVer. - -## [Unreleased] - -- Kept selective-memory relocation policy independent of SQL through a domain storage - protocol, with bounded reads and caller-owned transaction rollback. -- Reran the unchanged public fixtures into immutable v102 source-bound evidence. - -- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and - extended the Pi dependency audit to cover its development dependencies. -- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing - IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. +All notable changes to Engraphis are documented here. Format loosely follows +[Keep a Changelog](https://keepachangelog.com/); versions use SemVer. + +## [Unreleased] + +- Kept selective-memory relocation policy independent of SQL through a domain storage + protocol, with bounded reads and caller-owned transaction rollback. +- Reran the unchanged public fixtures into immutable v102 source-bound evidence. + +- Updated the Pi test host to 0.87.1 to include the patched WebSocket client, and + extended the Pi dependency audit to cover its development dependencies. +- Updated the Pi extension's locked `ip-address` dependency to 10.5.1, fixing + IPv6 link-local and NAT64 classification advisories without changing its dependency ranges. - Added saved project-to-workspace routing and connection instructions so agents can use the user's selected workspace. Routine MCP calls inherit an omitted workspace from an authorized session or repo mapping, report the resolved destination, and reject session mismatches. @@ -34,105 +34,105 @@ All notable changes to Engraphis are documented here. Format loosely follows - Reran the public offline fixtures into immutable v88 evidence and refreshed its source bindings, documentation, and charts. -## [1.7.8] - 2026-09-27 - -- Improved graph rendering and overlay scheduling, preserved saved Compact and custom - slider preferences, and corrected orbit radii, focus validation, and worker force limits. -- Hardened Windows MCP startup by preloading configured embedding and reranking - dependencies before background warmup, while retaining exact-backend requirements, - source-integrity validation, and an explicit preload opt-out. -- Added an experimental, explicitly authorized Jev decision adapter with fail-closed - response validation; it does not write memories or participate in grounded recall. -- Corrected API capacity and evidence projections and refreshed immutable offline - evidence and charts against the release source. Offline fixtures do not establish - live hosted-service or full-product qualification. -- Updated the optional Codex SDK to 0.155.1 and pinned CodeQL actions to 4.38.2. - -## [1.7.7] - 2026-09-23 - -- Cloud Sync shows local encryption-key and dependency readiness before enabling Sync now, - guides first-device key setup, and identifies shared workspaces eligible for upload. - Partial workspace rounds remain visibly incomplete. -- Pro Analytics resumes the exact submitted job across workspace switches and displays - its completed result without submitting a duplicate snapshot or run. -- Release auditing checks an unpublished wheel with OSV and its installed published - dependencies with PyPI. Qualification inputs now use protected Actions secrets so - variable-backed step logs cannot disclose the signed receipt. Owner-signed, - exact-artifact full-product qualification remains required before publication. - -## [1.7.6] - 2026-09-23 - -- Hardened Railway container startup persistence and readiness: entrypoint revalidates - trusted paths before ownership changes, enforces private 0700 permissions, preserves - ownership of external container state directories, rejects unsafe ownership markers - and hard-linked privileged startup inputs, and initializes private state for rootless - container execution. -- Improved agent-memory evidence and benchmark integrity: expanded evaluation harness, - local capacity campaign runners, campaign oracles and candidate compatibility, exact - value correction surfaces, compact recall HTTP endpoints, and comprehensive evidence - verification contracts. -- Upgraded tree-sitter-language-pack to 1.20.0, openai-codex to 0.154.0, and pyright to 1.1.414. -- Receipt-chain structural corruption remains fail-closed at the Store boundary without - bricking a completed service operation: affected responses now carry a content-free - `receipt_warning`, and graph/import workers preserve their completed state. - -## [1.7.4] - 2026-09-13 - -- Writable SQLite files now default to WAL plus FULL synchronization, with an explicit - balanced option and effective-policy diagnostics. Disposable fault tests cover abrupt - process exit and database-full rollback; hardware power loss remains unverified. -- Consolidation recall batches evidence-visibility checks within the Store's 500-ID bound, - preserving citations for larger digests under scope and temporal filters. -- Pi resolves patched Hono while retaining MCP SDK compatibility below version 2. -- Release verification exercises installed MCP and dashboard writes, restarts, corrections - and history on Windows, macOS and Linux. Product-readiness receipts bind exact components, - underlying evidence and independent release/leadership decisions. -- Normal and repair publication require owner-signed qualification of the exact source, - distributions and private ledger. Protected authority configuration is a release prerequisite; - no signing authority or approval is created by installing this package. -- Performance diagnostics accept pinned local models, real files and exact vector backends, - and expose opt-in recall phase timings. Planner promotion now has an explicit failing CLI - gate when its evaluation booleans are unmet; ranking defaults are unchanged. -- Added schema 18 content-free command receipts and cross-process source revalidation for - corrections, approvals, promotions and merges. Combined memory revisions have expected - versions, operation IDs, atomic metadata/history, and typed conflicts. -- Sync publication uses current canonical state and generation-aware repair; delayed work - cannot restore erased vectors. Native-index failures roll back canonical changes. -- Context retains distinct scoped evidence; synthesis falls back when complete source - units, titles, values or conditions are lost. Answer coverage defaults to unknown. -- Added project-aware memory workflows and paginated record history. -- Library cursors survive unrelated activity and work across processes. File-backed - browsing uses bounded live read snapshots; completed graph migrations are not - repeated at ordinary startup. -- Ask separates answer/preview retries, cancellation and answer coverage. Home uses - actionable review state; Explore pauses hidden views through existing renderers. -- Added content-free diagnostics and build/capability information, strict coding - acceptance validation and a file-backed independent-process capacity harness. - These provide measurement infrastructure, not verified 100k capacity claims. -- MCP stdio startup accepts the JSON-RPC handshake before optional semantic-model - warmup, while retaining deterministic fallback and exact-backend policy. - -## [1.7.3] - 2026-09-07 - -### Fixed - -- Preserved Galaxy carrier lane and kinematic orbit invariants through central-field slider - changes, including the global and core cached radii used by the next fixed slice. -- Refreshed the retained local orbital speed budget when the effective local-gravity control - changes, preventing a stale phase cache from masking the slider. -- Kept high-density Galaxy layouts inside the strict speed cap while maintaining authored - carrier and nested local orbit phase. -- Bounded the zero central-gravity radius response so finite far-field envelopes cannot leave - oversized kinematic carrier caches behind, and counted fallback speed-cap activations. -- Bumped the deterministic Galaxy scene algorithm identity to `galaxy-v13-responsive-compact-orbits` - so cached layouts cannot be confused with the revised placement contract. - -### Tests - -- Added deterministic regressions for central-field cache scaling and local-gravity phase - invalidation, alongside the existing 500-body and browser accessibility coverage. - -## [1.7.2] - 2026-09-05 +## [1.7.8] - 2026-09-27 + +- Improved graph rendering and overlay scheduling, preserved saved Compact and custom + slider preferences, and corrected orbit radii, focus validation, and worker force limits. +- Hardened Windows MCP startup by preloading configured embedding and reranking + dependencies before background warmup, while retaining exact-backend requirements, + source-integrity validation, and an explicit preload opt-out. +- Added an experimental, explicitly authorized Jev decision adapter with fail-closed + response validation; it does not write memories or participate in grounded recall. +- Corrected API capacity and evidence projections and refreshed immutable offline + evidence and charts against the release source. Offline fixtures do not establish + live hosted-service or full-product qualification. +- Updated the optional Codex SDK to 0.155.1 and pinned CodeQL actions to 4.38.2. + +## [1.7.7] - 2026-09-23 + +- Cloud Sync shows local encryption-key and dependency readiness before enabling Sync now, + guides first-device key setup, and identifies shared workspaces eligible for upload. + Partial workspace rounds remain visibly incomplete. +- Pro Analytics resumes the exact submitted job across workspace switches and displays + its completed result without submitting a duplicate snapshot or run. +- Release auditing checks an unpublished wheel with OSV and its installed published + dependencies with PyPI. Qualification inputs now use protected Actions secrets so + variable-backed step logs cannot disclose the signed receipt. Owner-signed, + exact-artifact full-product qualification remains required before publication. + +## [1.7.6] - 2026-09-23 + +- Hardened Railway container startup persistence and readiness: entrypoint revalidates + trusted paths before ownership changes, enforces private 0700 permissions, preserves + ownership of external container state directories, rejects unsafe ownership markers + and hard-linked privileged startup inputs, and initializes private state for rootless + container execution. +- Improved agent-memory evidence and benchmark integrity: expanded evaluation harness, + local capacity campaign runners, campaign oracles and candidate compatibility, exact + value correction surfaces, compact recall HTTP endpoints, and comprehensive evidence + verification contracts. +- Upgraded tree-sitter-language-pack to 1.20.0, openai-codex to 0.154.0, and pyright to 1.1.414. +- Receipt-chain structural corruption remains fail-closed at the Store boundary without + bricking a completed service operation: affected responses now carry a content-free + `receipt_warning`, and graph/import workers preserve their completed state. + +## [1.7.4] - 2026-09-13 + +- Writable SQLite files now default to WAL plus FULL synchronization, with an explicit + balanced option and effective-policy diagnostics. Disposable fault tests cover abrupt + process exit and database-full rollback; hardware power loss remains unverified. +- Consolidation recall batches evidence-visibility checks within the Store's 500-ID bound, + preserving citations for larger digests under scope and temporal filters. +- Pi resolves patched Hono while retaining MCP SDK compatibility below version 2. +- Release verification exercises installed MCP and dashboard writes, restarts, corrections + and history on Windows, macOS and Linux. Product-readiness receipts bind exact components, + underlying evidence and independent release/leadership decisions. +- Normal and repair publication require owner-signed qualification of the exact source, + distributions and private ledger. Protected authority configuration is a release prerequisite; + no signing authority or approval is created by installing this package. +- Performance diagnostics accept pinned local models, real files and exact vector backends, + and expose opt-in recall phase timings. Planner promotion now has an explicit failing CLI + gate when its evaluation booleans are unmet; ranking defaults are unchanged. +- Added schema 18 content-free command receipts and cross-process source revalidation for + corrections, approvals, promotions and merges. Combined memory revisions have expected + versions, operation IDs, atomic metadata/history, and typed conflicts. +- Sync publication uses current canonical state and generation-aware repair; delayed work + cannot restore erased vectors. Native-index failures roll back canonical changes. +- Context retains distinct scoped evidence; synthesis falls back when complete source + units, titles, values or conditions are lost. Answer coverage defaults to unknown. +- Added project-aware memory workflows and paginated record history. +- Library cursors survive unrelated activity and work across processes. File-backed + browsing uses bounded live read snapshots; completed graph migrations are not + repeated at ordinary startup. +- Ask separates answer/preview retries, cancellation and answer coverage. Home uses + actionable review state; Explore pauses hidden views through existing renderers. +- Added content-free diagnostics and build/capability information, strict coding + acceptance validation and a file-backed independent-process capacity harness. + These provide measurement infrastructure, not verified 100k capacity claims. +- MCP stdio startup accepts the JSON-RPC handshake before optional semantic-model + warmup, while retaining deterministic fallback and exact-backend policy. + +## [1.7.3] - 2026-09-07 + +### Fixed + +- Preserved Galaxy carrier lane and kinematic orbit invariants through central-field slider + changes, including the global and core cached radii used by the next fixed slice. +- Refreshed the retained local orbital speed budget when the effective local-gravity control + changes, preventing a stale phase cache from masking the slider. +- Kept high-density Galaxy layouts inside the strict speed cap while maintaining authored + carrier and nested local orbit phase. +- Bounded the zero central-gravity radius response so finite far-field envelopes cannot leave + oversized kinematic carrier caches behind, and counted fallback speed-cap activations. +- Bumped the deterministic Galaxy scene algorithm identity to `galaxy-v13-responsive-compact-orbits` + so cached layouts cannot be confused with the revised placement contract. + +### Tests + +- Added deterministic regressions for central-field cache scaling and local-gravity phase + invalidation, alongside the existing 500-body and browser accessibility coverage. + +## [1.7.2] - 2026-09-05 ### Added diff --git a/README.md b/README.md index 09b04cdd..b675d33f 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ by default, or accept an explicit workspace plus optional `from_ts`, `to_ts`, an `release_version` filters.

    - Dark chart of registered deterministic fixtures. Structure-aware chunks reduce retrieved context from 740.3 to 214.3 tokens and the smallest evidence-holding memory from 162.2 to 42.4 tokens. A compact JSON-shape proxy uses 11,138 rather than 24,590 tokens. Retrieved-candidate quality is labeled separately from packed-context quality, both measured in the selected report with packed-quality fields. Actual MCP transport and provider billing are not measured. + Dark chart of registered deterministic fixtures. Structure-aware chunks reduce retrieved context from 740.3 to 214.3 tokens and the smallest evidence-holding memory from 162.2 to 42.4 tokens. A compact JSON-shape proxy uses 11,138 rather than 24,590 tokens. Retrieved-candidate quality is labeled separately from packed-context quality, both measured in the selected report with packed-quality fields. Actual MCP transport and provider billing are not measured.
    Less repeated history means more room for the task, tools, and useful evidence.

    @@ -73,20 +73,20 @@ its counting boundary explicit. |---|---|---|---| | Retrieved top-5 memory content, averaged per question | Whole documents: **740.3** tokens → structure-aware chunks: **214.3** tokens | **526.0 fewer tokens per question** (**71.1% lower**, about **3.5× smaller**) | Recall@5 **1.000** in both modes across 6 documents and 18 questions | | Smallest returned memory that contains the reference evidence | Whole documents: **162.2** tokens → chunks: **42.4** tokens | **119.8 fewer tokens to evidence** (**73.9% lower**, about **3.8× smaller**) | The same 18 questions had a returned evidence-holding memory in both modes | -| Full versus compact recall payload proxy across one 26-question pass within a 260-timed-recall CodeMem run | Full proxy: **24,590** `engraphis.regex.v1` tokens → compact proxy: **11,138** tokens | **13,452 proxy tokens avoided** (**54.71% lower**) | 26 payload samples; 260 timed recalls; Recall@5, hit@5, and answer-token recall all **1.000** | +| Full versus compact recall payload proxy across one 26-question pass within a 260-timed-recall CodeMem run | Full proxy: **24,590** `engraphis.regex.v1` tokens → compact proxy: **11,138** tokens | **13,452 proxy tokens avoided** (**54.71% lower**) | 26 payload samples; 260 timed recalls; Recall@5, hit@5, and answer-token recall all **1.000** | | Packed prompt-context usage in the same 26-question CodeMem sample pass | Hard budget: **1,500** tokens; observed mean: **85.38**; observed maximum: **108** | A hard cap prevents a recall from exceeding its configured context budget | This is usage accounting, not a before/after savings comparison | The performance report keeps its legacy `quality` fields for all candidate chunks returned before context packing and adds `packed_quality` for evidence admitted to the reader context. The checked-in -v19 artifact includes both quality views, with Recall@5, hit@5 and answer-token evidence coverage +v19 artifact includes both quality views, with Recall@5, hit@5 and answer-token evidence coverage of 1.000 for the 26-question fixture in each view. Both views measure retrieved evidence; neither is an end-to-end question-answer score. Coding outcomes, external datasets, and staged operational capacity remain separate pending evaluation tracks until their artifacts are selected. -These values are evidence IDs `offline-chunking` and `offline-performance` in -[`offline-fixtures-v102.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v102.json), -SHA-256 -`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`. +These values are evidence IDs `offline-chunking` and `offline-performance` in +[`offline-fixtures-v102.json`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/benchmark-evidence/offline-fixtures-v102.json), +SHA-256 +`aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1`. [`BENCHMARKS.md`](https://github.com/Coding-Dev-Tools/engraphis/blob/main/BENCHMARKS.md#public-numeric-evidence-registry) records the matching suite digest, exact commands, and per-command config digests. The offline fixture registry intentionally excludes external, model-dependent, consolidation, productivity, @@ -415,19 +415,19 @@ the indicated read or action executor; no profile selection is required. The gat the discovered capability again before it runs it, and clients remain responsible for their normal destructive-action approval boundary. -Existing clients that use named tools can use +Existing clients that use named tools can use `engraphis-mcp-classic` (or `engraphis-mcp-http --classic`). The complete classic inventory, including `engraphis_check_update`, is in the [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md). - -### Choose where agent memories belong - -Use the dashboard's agent connection setup to choose a workspace, save a repo-to-workspace -mapping, and copy project-specific agent instructions. Routine MCP calls with an omitted -workspace can inherit the supplied session or saved repo mapping. Explicit workspace values, -including `"default"`, take precedence; update older instructions or hooks that hardcode them. -Memory types describe the kind of memory, not its destination. See -[workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) -for setup, routing precedence, and previewing moves of existing memories. + +### Choose where agent memories belong + +Use the dashboard's agent connection setup to choose a workspace, save a repo-to-workspace +mapping, and copy project-specific agent instructions. Routine MCP calls with an omitted +workspace can inherit the supplied session or saved repo mapping. Explicit workspace values, +including `"default"`, take precedence; update older instructions or hooks that hardcode them. +Memory types describe the kind of memory, not its destination. See +[workspace organization](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/WORKSPACE_ORGANIZATION.md) +for setup, routing precedence, and previewing moves of existing memories. ### Pi extension @@ -439,9 +439,9 @@ For installation, configuration, lifecycle commands, and the local trust boundar `integrations/commandcode/` ships a SessionStart hook that warms up a new session with bounded, recalled context from the local Engraphis gateway. Fails open on timeout and is installed via `python scripts/install_cc_hook.py`. -The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace -mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` -override must be cleared to use the mapping. Its context header shows the resolved workspace. +The hook sends the nearest Git root's name as `repo` and lets the server apply a saved workspace +mapping. Set `ENGRAPHIS_HOOK_WORKSPACE` only for an explicit override; a previous `default` +override must be cleared to use the mapping. Its context header shows the resolved workspace. ### prime-agent fleet @@ -569,27 +569,27 @@ For an agent prompt, prefer `engraphis_recall_context`: it returns one hard-budg `source_tokens`, `saved_tokens`, `savings_ratio`, `packed_count`, `omitted_count`, and `token_counter`), and optional diagnostics. Accounting is exact for the named counter; inject the reader's tokenizer when reader-model token parity is required. `engraphis_recall` remains the compatible full-recall -surface; use `response_mode="compact"` when the packed context is enough and full memory bodies -would duplicate it. For advanced query-planning configuration, see the -[architecture guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md#query-planning). - -Benchmark-driven alternatives are opt-in: `packing_mode="coverage"` keeps complete evidence -units from more source memories, while `retrieval_recipe="conversation"` and -`retrieval_recipe="long_session"` select the measured depth/budget starting points. The -historical `legacy`/`default` settings remain unchanged. For a value that must survive a file -edit or tool call exactly, Smart and Classic `engraphis_remember` and the Python/service write -APIs accept source-bound `exact_value` plus its `exact_value_type`. MCP remember requires a -unique occurrence; Python/service writes can select a repeated occurrence with `exact_value_span`. -Packed binding metadata requires the complete memory source, preserving conditions in any -language. Boundary whitespace outside the bound value may be trimmed. Coverage withholds a -bound group that cannot fit; legacy keeps its selected text but omits the incomplete binding. -Corrections and content revisions clear the old binding when content changes; -pass `exact_value` to explicitly bind the replacement, with `exact_value_span=[start,end]` -for a repeated occurrence, or `clear_exact_value=true` to remove a binding. Unchanged content -and title-only revisions preserve valid bindings. History preserves the original record. -MCP response trimming removes binding metadata whenever its supporting context is omitted. - -For bi-temporal reads, `valid_at` selects what was true at a Unix timestamp and `known_at` selects +surface; use `response_mode="compact"` when the packed context is enough and full memory bodies +would duplicate it. For advanced query-planning configuration, see the +[architecture guide](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/ARCHITECTURE_V3.md#query-planning). + +Benchmark-driven alternatives are opt-in: `packing_mode="coverage"` keeps complete evidence +units from more source memories, while `retrieval_recipe="conversation"` and +`retrieval_recipe="long_session"` select the measured depth/budget starting points. The +historical `legacy`/`default` settings remain unchanged. For a value that must survive a file +edit or tool call exactly, Smart and Classic `engraphis_remember` and the Python/service write +APIs accept source-bound `exact_value` plus its `exact_value_type`. MCP remember requires a +unique occurrence; Python/service writes can select a repeated occurrence with `exact_value_span`. +Packed binding metadata requires the complete memory source, preserving conditions in any +language. Boundary whitespace outside the bound value may be trimmed. Coverage withholds a +bound group that cannot fit; legacy keeps its selected text but omits the incomplete binding. +Corrections and content revisions clear the old binding when content changes; +pass `exact_value` to explicitly bind the replacement, with `exact_value_span=[start,end]` +for a repeated occurrence, or `clear_exact_value=true` to remove a binding. Unchanged content +and title-only revisions preserve valid bindings. History preserves the original record. +MCP response trimming removes binding metadata whenever its supporting context is omitted. + +For bi-temporal reads, `valid_at` selects what was true at a Unix timestamp and `known_at` selects what Engraphis had learned then. `as_of` remains a compatibility alias for `valid_at`; supplying both is allowed only when they match. @@ -664,7 +664,7 @@ when you are ready to evaluate the service boundary and billing options. | | Free (available now) | Pro: $10/mo or $100/yr | Team: $20/seat/mo or $200/seat/yr | |---|---|---|---| | Dashboard WebUI (with built-in inspector) | ✓ | ✓ | ✓ | -| Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | +| Memory engine + Smart MCP (Classic 38-tool compatibility) | ✓ | ✓ | ✓ | | Version-chain diffs, offline knowledge graph | ✓ | ✓ | ✓ | | Manual local consolidation (dry-run by default) | ✓ | ✓ | ✓ | | Local workspace export (portable v2 JSON: memories, source manifests, graph/code evidence, sessions, audit, and receipts) | ✓ | ✓ | ✓ | @@ -682,7 +682,7 @@ when you are ready to evaluate the service boundary and billing options. ## MCP tools -Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility +Engraphis exposes a zero-configuration Smart MCP gateway plus a 38-tool Classic compatibility server across memory, recall, code graphs, governance, sessions, and privacy-safe audit receipts. The focused [MCP tool reference](https://github.com/Coding-Dev-Tools/engraphis/blob/main/docs/MCP_TOOLS.md) is the source for the full inventory and parameters. @@ -811,7 +811,7 @@ file. It never searches the working directory for `.env`, and explicit process v | `ENGRAPHIS_HTTP_INDEX_ROOT` | First `ENGRAPHIS_INDEX_ROOTS` entry, or current directory | Single root for dashboard and REST `POST /api/code/index`; submitted paths resolve beneath it. An explicit root (or fallback entry) must be absolute; an explicit HTTP root is included in the engine-approved set. MCP and CLI indexing continue to use `ENGRAPHIS_INDEX_ROOTS`. | | `ENGRAPHIS_DB_KEY` | Not set | Encrypt the database at rest (SQLCipher). Or use `ENGRAPHIS_DB_KEY_FILE` | | `ENGRAPHIS_EMBED_MODEL` | `sentence-transformers/all-MiniLM-L6-v2` | sentence-transformers model | -| `ENGRAPHIS_MCP_PRELOAD_EMBEDDER` | `auto` | Standalone MCP launchers import optional semantic dependencies on the launcher thread on Windows before serving requests. Set `0` to disable or `1` to enable on any platform; model loading and backend fallback policy remain unchanged. | +| `ENGRAPHIS_MCP_PRELOAD_EMBEDDER` | `auto` | Standalone MCP launchers import optional semantic dependencies on the launcher thread on Windows before serving requests. Set `0` to disable or `1` to enable on any platform; model loading and backend fallback policy remain unchanged. | | `ENGRAPHIS_EMBED_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the embedding model. Loaded Hub commits or local artifact manifests identify persistent vector spaces; unresolved mutable identities keep vector recall fail-closed. | | `ENGRAPHIS_RERANK_MODEL` | Not set | Optional sentence-transformers cross-encoder reranker | | `ENGRAPHIS_RERANK_REVISION` | Not set | Optional immutable lowercase 40-hex Hugging Face commit for the reranker | @@ -872,7 +872,7 @@ engraphis/ │ ├── backends/ # pluggable embedder / vector index / reranker / codegraph / sync transports / encryption │ ├── factory.py # outer v2 composition root; selects and injects concrete backends │ ├── service.py # validated MemoryService facade -│ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server +│ ├── mcp_server.py # Smart MCP gateway + 38-tool Classic compatibility server │ ├── dashboard_app.py # dashboard WebUI (FastAPI) │ ├── dashboard_assets/ # primary Ledger interface + graph engine │ ├── classic_assets/ # selectable full operator dashboard backup diff --git a/tests/test_benchmark_evidence.py b/tests/test_benchmark_evidence.py index f4b1bc9d..65eb3ea5 100644 --- a/tests/test_benchmark_evidence.py +++ b/tests/test_benchmark_evidence.py @@ -32,9 +32,9 @@ from eval.performance import run as run_performance -ROOT = Path(__file__).resolve().parents[1] -PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v102.json" -PUBLIC_OFFLINE_SHA = "aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1" +ROOT = Path(__file__).resolve().parents[1] +PUBLIC_OFFLINE_ARTIFACT = "offline-fixtures-v102.json" +PUBLIC_OFFLINE_SHA = "aaaed796f8088f3d17b19ecac6d75b1103d3e0fc29969d68caa7677f8ba487b1" @pytest.fixture(scope="module") @@ -104,7 +104,7 @@ def _committed_evidence() -> dict: deterministic and compared exactly in ``test_public_numeric_evidence_registry_is_complete_and_live``. """ artifact = json.loads( - (ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT).read_text( + (ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT).read_text( encoding="utf-8" ) ) @@ -152,10 +152,10 @@ def test_readme_distinguishes_every_registered_token_context_measurement(): "not an MCP transport response", "must not be added together", "not a storage-reduction claim", - PUBLIC_OFFLINE_ARTIFACT, + PUBLIC_OFFLINE_ARTIFACT, "offline-chunking", "offline-performance", - PUBLIC_OFFLINE_SHA, + PUBLIC_OFFLINE_SHA, "There is no universal memory-count", "python -m eval.vector_scale", 'vector_backend="sqlite-vec"', @@ -312,7 +312,7 @@ def test_example_visual_uses_the_checked_in_offline_fixture_results( } assert "5/5 answerable questions" in visual assert "6/6 off-topic questions" in visual - assert PUBLIC_OFFLINE_SHA in visual + assert PUBLIC_OFFLINE_SHA in visual def test_context_savings_visual_uses_only_registered_measurements(): @@ -374,7 +374,7 @@ def test_context_savings_visual_uses_only_registered_measurements(): for unsupported in ( "Public evidence is checksum-bound", - PUBLIC_OFFLINE_ARTIFACT, + PUBLIC_OFFLINE_ARTIFACT, "No external or model-dependent number is published without the same evidence", "Evidence pending", "No external or model-dependent number is published", @@ -402,12 +402,12 @@ def test_public_numeric_evidence_registry_is_complete_and_live( ): """Every retained public aggregate resolves to one checksum-bound live run.""" artifact_path = ( - ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT + ROOT / "docs" / "benchmark-evidence" / PUBLIC_OFFLINE_ARTIFACT ) sidecar_path = artifact_path.with_suffix(".json.sha256") artifact_bytes = artifact_path.read_bytes() artifact_sha = hashlib.sha256(artifact_bytes).hexdigest() - expected_sha = PUBLIC_OFFLINE_SHA + expected_sha = PUBLIC_OFFLINE_SHA assert artifact_sha == expected_sha assert sidecar_path.read_text(encoding="ascii") == ( @@ -425,8 +425,8 @@ def test_public_numeric_evidence_registry_is_complete_and_live( suite_manifest = json.dumps( file_hashes, sort_keys=True, separators=(",", ":") ).encode() - assert hashlib.sha256(suite_manifest).hexdigest() == artifact["suite"]["digest"] - assert artifact["suite"]["digest"] in (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") + assert hashlib.sha256(suite_manifest).hexdigest() == artifact["suite"]["digest"] + assert artifact["suite"]["digest"] in (ROOT / "BENCHMARKS.md").read_text(encoding="utf-8") runs = {run["id"]: run for run in artifact["runs"]} assert set(runs) == { diff --git a/tests/test_documentation_contracts.py b/tests/test_documentation_contracts.py index e8ca7707..f4bf01ab 100644 --- a/tests/test_documentation_contracts.py +++ b/tests/test_documentation_contracts.py @@ -147,8 +147,8 @@ def test_benchmark_text_alternatives_match_registered_fixture_boundary() -> None "artifact-driven local deterministic benchmark report", "structure-aware chunks report 740.3 to 214.3 retrieved tokens per question", "retrieved-candidate quality and packed-context quality are separate views", - f"{payload['full_serialized_payload_tokens']:,} full-proxy versus " - f"{payload['compact_serialized_payload_tokens']:,} compact-proxy tokens", + f"{payload['full_serialized_payload_tokens']:,} full-proxy versus " + f"{payload['compact_serialized_payload_tokens']:,} compact-proxy tokens", "not an mcp transport measurement", "does not measure provider billing", "1,500-token cap", From 593b3ccb311eab9044df0bc6830d5b12ec777c24 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:35:47 -0400 Subject: [PATCH 43/64] Bind managed Jev configuration to its credential origin and bound trailers --- engraphis/backends/jev_transport.py | 3 +- engraphis/config.py | 7 +- engraphis/http_deadline.py | 11 +- tests/test_cloud_session_deadline.py | 18 +++ tests/test_jev_backend.py | 2 + tests/test_jev_configuration.py | 175 +++++++++++++++++++++++++++ tests/test_jev_transport.py | 4 + 7 files changed, 212 insertions(+), 8 deletions(-) create mode 100644 tests/test_jev_configuration.py diff --git a/engraphis/backends/jev_transport.py b/engraphis/backends/jev_transport.py index b54f12c0..47cd14f5 100644 --- a/engraphis/backends/jev_transport.py +++ b/engraphis/backends/jev_transport.py @@ -307,7 +307,8 @@ def __init__(self, *, timeout_s: float = 10.0) -> None: def is_configured(self) -> bool: from engraphis import cloud_session try: - return cloud_session.configured(require_compute=False) + return bool(cloud_session.configured(require_compute=False) + and cloud_session.credential_bound_control_url()) except Exception: return False diff --git a/engraphis/config.py b/engraphis/config.py index ff94c5ef..819ae856 100644 --- a/engraphis/config.py +++ b/engraphis/config.py @@ -1086,11 +1086,8 @@ def has_decision_backend(self) -> bool: api_key=self.typesafe_api_key, base_url=self.typesafe_base_url, ).is_configured if self.decision_backend in {"managed", "auto"}: - from engraphis.cloud_session import configured - try: - return configured(require_compute=False) - except Exception: - return False + from engraphis.backends.jev_transport import EngraphisCloudDecisionClient + return EngraphisCloudDecisionClient().is_configured return False def __post_init__(self) -> None: diff --git a/engraphis/http_deadline.py b/engraphis/http_deadline.py index e33a5f1b..a6d54306 100644 --- a/engraphis/http_deadline.py +++ b/engraphis/http_deadline.py @@ -106,15 +106,22 @@ def __init__(self, sock, *args, **kwargs): def _read_and_discard_trailer(self): # HTTPResponse accepts EOF without a trailer terminator. That cannot # prove completion when our watchdog may have shut down the socket. + max_line = getattr(http.client, "_MAXLINE") + max_trailers = getattr(http.client, "_MAXHEADERS") + trailers_read = 0 while True: - line = self.fp.readline(http.client._MAXLINE + 1) - if len(line) > http.client._MAXLINE: + line = self.fp.readline(max_line + 1) + if len(line) > max_line: raise http.client.LineTooLong("trailer line") if line in (b"\r\n", b"\n"): self._deadline_chunk_complete = True return if not line: raise http.client.IncompleteRead(b"") + trailers_read += 1 + if trailers_read > max_trailers: + raise http.client.HTTPException( + f"got more than {max_trailers} trailers") def begin(self): # getresponse() parses status and headers before urllib.open() diff --git a/tests/test_cloud_session_deadline.py b/tests/test_cloud_session_deadline.py index 10ab337e..bc05be49 100644 --- a/tests/test_cloud_session_deadline.py +++ b/tests/test_cloud_session_deadline.py @@ -279,6 +279,24 @@ def test_chunked_trailer_keeps_standard_line_limit(monkeypatch): http_deadline.read_response(response, 105.0, max_bytes=4096, preserve_complete=True) +@pytest.mark.parametrize("count", [100, 101]) +def test_chunked_trailer_count_is_bounded_before_marking_completion(monkeypatch, count): + response, _reads, raw, _clock = _http_body_at_deadline( + monkeypatch, "chunked", trailer=b"X-Test: complete\r\n" * count + b"\r\n", + ) + assert response._deadline_chunk_complete is False + with response: + if count == 100: + assert http_deadline.read_response( + response, 105.0, max_bytes=4096, preserve_complete=True, + ) == raw + assert response._deadline_chunk_complete is True + else: + with pytest.raises(http.client.HTTPException, match="^got more than 100 trailers$"): + http_deadline.read_response(response, 105.0, max_bytes=4096, preserve_complete=True) + assert response._deadline_chunk_complete is False + + @pytest.mark.parametrize("framing", ["length", "close", "chunked"]) def test_completed_http_rotation_is_saved_at_body_deadline(monkeypatch, saved_session, framing): response, reads, raw, _clock = _http_body_at_deadline(monkeypatch, framing) diff --git a/tests/test_jev_backend.py b/tests/test_jev_backend.py index dbfa8e8d..74eedae9 100644 --- a/tests/test_jev_backend.py +++ b/tests/test_jev_backend.py @@ -212,6 +212,8 @@ def test_cloud_decision_client_uses_saved_session_configuration(monkeypatch): from engraphis.backends.jev_decision import create_cloud_decision_client configured = [] monkeypatch.setattr(cloud_session, "configured", lambda **kw: configured.append(kw) or True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.invalid") client = create_cloud_decision_client() assert configured == [] assert client.is_configured is True diff --git a/tests/test_jev_configuration.py b/tests/test_jev_configuration.py new file mode 100644 index 00000000..f7a37ba6 --- /dev/null +++ b/tests/test_jev_configuration.py @@ -0,0 +1,175 @@ +"""Managed configuration requires the direct credential's own control origin.""" +import io +import json +import socket +from types import SimpleNamespace + +import pytest + +from engraphis import cloud_session, hosted_client +from engraphis.backends import jev_transport as transport +from engraphis.backends.jev_decision import DecisionQuestion +from engraphis.config import Settings + + +@pytest.fixture +def direct_credentials(monkeypatch): + monkeypatch.setenv("ENGRAPHIS_CLOUD_ACCESS_TOKEN", "synthetic-direct-access") + monkeypatch.setenv("ENGRAPHIS_CLOUD_ORGANIZATION_ID", "org_direct") + monkeypatch.setenv("TYPESAFE_API_KEY", "synthetic-personal-key") + monkeypatch.delenv("ENGRAPHIS_CLOUD_CONTROL_URL", raising=False) + monkeypatch.delenv("ENGRAPHIS_CLOUD_COMPUTE_URL", raising=False) + saved_reads = [] + + def saved(): + saved_reads.append(True) + return {"control_url": "https://stale-saved.example.test", + "refresh_credential": "synthetic-saved-refresh", + "organization_id": "org_saved", "token_subject": "member"} + + def forbidden(*args, **kwargs): + pytest.fail("direct configuration must not refresh, resolve, send, or select BYOK") + + monkeypatch.setattr(cloud_session, "_load", saved) + monkeypatch.setattr(cloud_session, "_post_refresh", forbidden) + monkeypatch.setattr(socket, "getaddrinfo", forbidden) + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", forbidden) + monkeypatch.setattr(transport, "create_typesafe_decision_client", forbidden) + return saved_reads + + +@pytest.mark.parametrize("control", [None, "", " \t\n"]) +@pytest.mark.parametrize("mode", ["managed", "auto"]) +@pytest.mark.parametrize("explicit", [False, True]) +def test_direct_credentials_without_control_do_not_configure_managed_jev( + direct_credentials, monkeypatch, control, mode, explicit, +): + if control is not None: + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", control) + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", mode) + + assert transport.create_cloud_decision_client().is_configured is False + settings = Settings(decision_backend=mode) if explicit else Settings() + assert settings.has_decision_backend is False + assert transport.select_decision_client(mode if explicit else None) == (None, "local_heuristic") + # Org-scoped generic access remains usable; only the Jev route needs control. + assert cloud_session.configured(require_compute=False) is True + assert cloud_session.access_for_workspace(None, require_compute=False) == ( + "synthetic-direct-access", "org_direct", "", + ) + assert direct_credentials == [] + + +@pytest.mark.parametrize("control", [None, "", " \t\n"]) +@pytest.mark.parametrize("mode", ["managed", "auto"]) +def test_mcp_missing_control_falls_back_without_using_personal_key( + direct_credentials, monkeypatch, control, mode, +): + pytest.importorskip("mcp") + from engraphis import mcp_server + + if control is not None: + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", control) + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", mode) + result = json.loads(mcp_server.engraphis_decide( + kind="custom", state="Synthetic evidence", allow_remote=True, + )) + assert result["decision_status"] == "local_fallback" + assert result["fallback_reason"] == "backend_not_configured" + assert result["selected"] is None and result["confidence"] is None + assert direct_credentials == [] + + +@pytest.mark.parametrize("mode", ["managed", "auto"]) +@pytest.mark.parametrize("explicit", [False, True]) +def test_direct_control_routes_exact_origin_and_token_without_saved_state_or_refresh( + direct_credentials, monkeypatch, mode, explicit, +): + control = "https://control.example.test:8443/base" + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", control + "/") + monkeypatch.setenv("ENGRAPHIS_DECISION_BACKEND", mode) + settings = Settings(decision_backend=mode) if explicit else Settings() + assert settings.has_decision_backend is True + client, name = transport.select_decision_client(mode if explicit else None) + assert isinstance(client, transport.EngraphisCloudDecisionClient) + assert client.is_configured is True and name == "engraphis_cloud" + assert direct_credentials == [] + requests, resolutions = [], [] + + def resolve(host, port, *args, **kwargs): + assert host == "control.example.test" + resolutions.append((host, port)) + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", port or 0))] + + def open_request(request, timeout): + requests.append(request) + assert 0 < timeout <= client.timeout_s + response = io.BytesIO(json.dumps({ + "model": transport.MODEL, "is_fallback": False, "decisions": {"q": { + "type": "noul", "probability": 0.9, "confidence": 0.8, + "confidence_source": "derived_decisiveness", + }}, + }).encode()) + response.status = 200 + response.headers = {"Content-Type": "application/json"} + return response + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + monkeypatch.setattr(hosted_client, "build_pinned_https_opener", + lambda *handlers: SimpleNamespace(open=open_request)) + batch = client.evaluate("Synthetic evidence", [DecisionQuestion("q", "Assess", "noul")], + model=transport.MODEL, allow_remote=True) + assert batch.get_noul("q").probability == 0.9 + assert len(requests) == 1 and resolutions + assert requests[0].full_url == control + "/v1/jev/decide" + assert requests[0].get_header("Authorization") == "Bearer synthetic-direct-access" + assert json.loads(requests[0].data)["state"] == "Synthetic evidence" + assert direct_credentials == [] + + +@pytest.mark.parametrize("control", [None, "", " \t\n"]) +def test_compute_only_direct_credentials_remain_usable(direct_credentials, monkeypatch, control): + if control is not None: + monkeypatch.setenv("ENGRAPHIS_CLOUD_CONTROL_URL", control) + compute = "https://compute.example.test" + monkeypatch.setenv("ENGRAPHIS_CLOUD_COMPUTE_URL", compute) + assert cloud_session.configured() is True + assert transport.create_cloud_decision_client().is_configured is False + + def resolve(host, port, *args, **kwargs): + assert host == "compute.example.test" + return [(socket.AF_INET, socket.SOCK_STREAM, 6, "", ("93.184.216.34", port or 0))] + + monkeypatch.setattr(socket, "getaddrinfo", resolve) + assert cloud_session.access_for_workspace(None) == ( + "synthetic-direct-access", "org_direct", compute, + ) + assert direct_credentials == [] + + +@pytest.mark.parametrize("failure", ["configured", "credential_bound_control_url"]) +def test_managed_configuration_failure_is_closed_and_private(monkeypatch, caplog, failure): + monkeypatch.setattr(cloud_session, "configured", lambda **kwargs: True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.test") + + def unavailable(*args, **kwargs): + raise OSError("synthetic private session path") + + monkeypatch.setattr(cloud_session, failure, unavailable) + assert transport.create_cloud_decision_client().is_configured is False + for mode in ("managed", "auto"): + assert Settings(decision_backend=mode).has_decision_backend is False + assert transport.select_decision_client(mode) == (None, "local_heuristic") + assert caplog.text == "" + + +def test_unconfigured_session_does_not_inspect_an_origin(monkeypatch): + monkeypatch.setattr(cloud_session, "configured", lambda **kwargs: False) + + def forbidden(): + pytest.fail("an unconfigured session must not inspect an origin") + + monkeypatch.setattr(cloud_session, "credential_bound_control_url", forbidden) + assert transport.create_cloud_decision_client().is_configured is False + assert Settings(decision_backend="managed").has_decision_backend is False diff --git a/tests/test_jev_transport.py b/tests/test_jev_transport.py index e28a7e2c..031ff2dd 100644 --- a/tests/test_jev_transport.py +++ b/tests/test_jev_transport.py @@ -114,6 +114,8 @@ def test_credential_origin_change_fails_without_using_token(managed, monkeypatch def test_backend_modes_never_implicitly_choose_byok(monkeypatch): monkeypatch.setenv("TYPESAFE_API_KEY", "synthetic-personal-key") monkeypatch.setattr(cloud_session, "configured", lambda **kw: True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.invalid") for mode in ("none", "local"): assert transport.select_decision_client(mode) == (None, "local_heuristic") for mode in ("managed", "auto"): @@ -232,6 +234,8 @@ def test_choice_must_match_reported_probability_distribution(): def test_configuration_presence_honors_explicit_backend_and_managed_precedence(monkeypatch): from engraphis.config import Settings monkeypatch.setattr(cloud_session, "configured", lambda **kw: True) + monkeypatch.setattr(cloud_session, "credential_bound_control_url", + lambda: "https://control.example.invalid") for mode in ("none", "local"): assert not Settings(decision_backend=mode, typesafe_api_key="synthetic-key").has_decision_backend for mode in ("managed", "auto"): From fe3459e5ed79554de6286f29e777d88fbe309a31 Mon Sep 17 00:00:00 2001 From: Coding-Dev-Tools Date: Mon, 28 Sep 2026 20:37:56 -0400 Subject: [PATCH 44/64] Scope graph classification probes and preserve legacy shared entities --- engraphis/core/store.py | 5 +- engraphis/service.py | 108 +++++++++++++------------ tests/test_core_store.py | 87 ++++++++++++++++++++ tests/test_graph_explorer_v2.py | 135 ++++++++++++++++++++++++++++++++ 4 files changed, 284 insertions(+), 51 deletions(-) diff --git a/engraphis/core/store.py b/engraphis/core/store.py index 65d778ca..dfc5935f 100644 --- a/engraphis/core/store.py +++ b/engraphis/core/store.py @@ -5921,9 +5921,10 @@ def _erase_memory_rows(cls, conn, memory_id: str, *, actor: str = "user") -> dic clauses.append("NOT EXISTS (SELECT 1 FROM memory_entities me " "WHERE me.entity_id=entities.id)") if "edges" in tables: + # Legacy entities and edges may both have an unscoped NULL workspace. clauses.append("NOT EXISTS (SELECT 1 FROM edges e " - "WHERE ((e.workspace_id=entities.workspace_id AND e.src=entities.id) " - "OR (e.workspace_id=entities.workspace_id AND e.dst=entities.id)))") + "WHERE ((e.workspace_id IS entities.workspace_id AND e.src=entities.id) " + "OR (e.workspace_id IS entities.workspace_id AND e.dst=entities.id)))") if clauses: conn.execute( f"DELETE FROM entities WHERE id IN ({marks}) AND " + " AND ".join(clauses), diff --git a/engraphis/service.py b/engraphis/service.py index 35cb12e5..cf58136e 100644 --- a/engraphis/service.py +++ b/engraphis/service.py @@ -9429,46 +9429,73 @@ def temporal_ghost(row: Any) -> bool: # unrelated relation in the workspace. touching_entity_cap = all_mode_entity_cap or MAX_GRAPH_ANALYSIS_ENTITIES touching_sql = ( - "WITH candidate_edges AS (" - "SELECT id, src, dst FROM edges " - "WHERE workspace_id=? " + "WITH candidate_entities AS (" + "SELECT id FROM entities selected_entity " + "WHERE selected_entity.workspace_id=? " ) touching_params: list[Any] = [wid] + if repo_id: + touching_sql += ( + "AND (selected_entity.repo_id=? OR selected_entity.repo_id IS NULL) " + ) + touching_params.append(repo_id) + touching_sql += ( + "AND (selected_entity.created_at IS NULL OR selected_entity.created_at<=?) " + ) + touching_params.append(known_t) + if clean_entity_types: + clean_types = sorted(set(clean_entity_types)) + marks = ",".join("?" for _ in clean_types) + touching_sql += f"AND selected_entity.etype IN ({marks}) " + touching_params.extend(clean_types) # A live scene must classify entities from the same world/system-time edge # population used by the later edge query. Keep the historical joins intact # for time-travel scenes so closed relations can still identify ghost endpoints. if not include_history: - touching_sql += ( - "AND (valid_from IS NULL " - "OR valid_from<=?) " - "AND (valid_to IS NULL " - "OR ? bool: join_type = "LEFT JOIN" if include_history else "JOIN" touching_sql += ( f") SELECT selected_entity.id, COUNT(es.edge_id) AS touching_count " - f"FROM entities selected_entity " + f"FROM candidate_entities selected_entity " f"{join_type} endpoint_supports es ON es.entity_id=selected_entity.id " "LEFT JOIN memories touching_memory " "ON touching_memory.id=es.memory_id " @@ -9530,26 +9557,9 @@ def temporal_ghost(row: Any) -> bool: "OR ?