[Port] PoC v2 onto release/v0.20.0#37
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New files only — no upstream conflicts. Ports vllm/poc/ package (PoC v2 model runner, routes, callbacks, generate queue, validation) and vllm/validation.py (EnforcedToken support) from tg/scratchpad_for_mode unchanged. Adapter patches against the 0.19 sampler/runner API land in subsequent commits.
…fields
Adds optional dataclass fields used by the gonka PoC v2 path:
* SamplingParams.logprobs_mode — per-request override for the
sampled-token logprobs format ('raw_logprobs' or 'processed_logprobs').
* SamplingParams.enforced_token_ids — enforced next-token sequence for
validation replay.
* SamplingMetadata.batch_logprobs_mode, logprobs_is_processed,
enforced_next_token_ids — sampler-side bookkeeping for the same.
Pure additions with default None; behavior unchanged when unset.
Sampler/runner wiring lands in subsequent commits.
Threads an optional need_processed_logprobs flag through forward_native, forward_cuda, forward_cpu and forward_hip so callers can request processed (log-softmax) logprobs even on fast paths that normally only return raw logits. The new .sample() wrapper transparently routes to forward_native when the active forward implementation cannot satisfy this (FlashInfer / aiter). Fast paths fall through to forward_native when need_processed_logprobs is set; this matches the behavior the gonka PoC v2 sampler relies on. Default value is False, so existing call sites are unaffected.
Ports three tg/scratchpad_for_mode behaviors onto the 0.19 sampler: 1. Per-request logprobs mode with priority resolution (logprobs_mode_override > batch_logprobs_mode > self.logprobs_mode) and a raw-override survival guard so a per-request raw_logprobs request is not silently overwritten by deployment-default processed logprobs returned by the sampler fast path. 2. Mixed-mode batches: when the batch contains rows with different logprobs_mode settings, compute both raw and processed logprobs and merge per-row via torch.where using sampling_metadata.logprobs_is_processed. 3. Enforced token override (gonka PoC v2 replay): after sampling, override sampled[mask] = enforced[mask] where sampling_metadata.enforced_next_token_ids != -1. This is intentionally post-sampling so logprobs remain computed against the model's real distribution, which is what PoC validation compares against the origin. topk_topp_sampler is now invoked via the .sample() wrapper added in the previous commit so need_processed_logprobs falls back to forward_native on FlashInfer/aiter fast paths when processed logprobs are required.
…eeping Adapts the three gonka PoC v2 behaviors in InputBatch against the 0.19 API: * Per-request logprobs_mode dict (logprobs_modes) populated on add_request, cleaned up on remove_request; default source comes from a new logprobs_mode_default constructor arg wired by GPUModelRunner from model_config.logprobs_mode. * Aggregated batch_logprobs_mode property: None / single shared mode / 'mixed' when the batch contains multiple modes. * Per-request req_enforced_token_ids dict keyed by req_id with _build_enforced_tensor() producing a [num_reqs] int64 tensor (-1 = no enforcement for that row) indexed by len(output_token_ids) so enforced sequences advance each step. * refresh_metadata() now calls _update_enforced_tensor() on every step when the batch contains enforced requests, so the next-token override advances even when batch composition is unchanged. * _make_sampling_metadata() emits batch_logprobs_mode, logprobs_is_processed (bool[num_reqs], only materialized in 'mixed' mode), and enforced_next_token_ids on the SamplingMetadata. All dicts are keyed by req_id, so swap_states / condense need no changes. _build_enforced_tensor guards against _req_ids[i] == None for slots awaiting condense.
Wires the gonka PoC v2 API surface into the OpenAI entrypoints: * api_server.py: register the vllm.poc.routes router in build_app just before app.root_path is set. * server_utils.py: clear the PoC generate queue in the lifespan finally block (lifespan moved to server_utils.py in 0.19; the 0.15.1 patch applied this inside api_server.py). * chat_completion/api_router.py, completion/api_router.py: priority gating — when vllm.poc.routes.is_poc_generation_active() returns True, reject /v1/chat/completions and /v1/completions with 503 to prevent GPU contention / NCCL deadlocks while PoC is running. ImportError-guarded so a build without the poc package still works. * chat_completion/protocol.py: add logprobs_mode, enforced_tokens (EnforcedTokens) and enforced_str fields; pass logprobs_mode through to SamplingParams. * completion/protocol.py: add logprobs_mode field + pass-through. * chat_completion/serving.py: after building SamplingParams, resolve enforced_str / enforced_tokens via self.renderer.tokenizer, append EOS if missing, write sampling_params.enforced_token_ids. When the request did not set logprobs_mode explicitly, auto-detect it from the origin top_token_ids via EnforcedTokens.detect_logprobs_mode().
Prevents crashes when enforced tokens (gonka PoC v2 validation replay) conflict with an active grammar FSM. * backend_xgrammar.py XgrammarGrammar: add _grammar_failed flag. On rejection in accept_tokens, log a warning, set the flag, and return True so the request continues without grammar enforcement. rollback() and fill_bitmask() early-return when the flag is set; reset() clears it. * structured_output/__init__.py: the spec-decode bitmask fill path previously asserted that grammar.accept_tokens succeeded; now logs a warning and disables bitmask for the rest of that request's spec tokens instead of crashing.
* engine/arg_utils.py: bump default OPENAI_API_SERVER max_num_batched_tokens to 32768 on both branches (H100/MI300x and the smaller-GPU fallback). Matches the value the gonka PoC deploy was passing explicitly via --max-num-batched-tokens and avoids throughput regressions when the flag is omitted. * config/vllm.py: simplify the custom_ops default branch to always append 'all' when neither 'all' nor 'none' is present. The inductor special-case that forced 'none' under CompilationMode != NONE was producing surprising behavior on the PoC path; 'all' is what the PoC setup already relied on. Force-FlashInfer backend hardcoding from the 0.15.1 branch was deliberately dropped — callers pass --attention-backend FLASHINFER_MLA via the deploy command.
Registers Qwen3MoeForCausalLM in MODELS_CONFIG_MAP so the engine sets the custom_ops list that the gonka PoC v2 setup relies on: +quant_fp8, +rms_norm, +silu_and_mul, +fused_moe, +rotary_embedding, +apply_rotary_emb, and 'none' as the default tail. The config only takes effect when compilation_config.custom_ops is empty on startup, so existing overrides passed on the command line still win.
The gonka PoC v2 validator receives top-k logprobs from the origin as
JSON and then calls int(token) on each 'token' field via
EnforcedToken.encode() in vllm/validation.py — the comment there
('Tokens from gonka API are already numeric strings (token IDs)')
documents this contract. If the origin returns decoded strings the
validator silently falls back to tokenizer.encode() and can pick the
wrong token id for non-ASCII or multi-id tokens, producing validation
mismatches.
Replacing _get_decoded_token with return str(token_id) matches what
the 0.15.1 gonka fork does and keeps the contract stable.
This breaks the normal OpenAI API logprobs UX (human-readable tokens
are no longer returned). That is acceptable because this image is
dedicated to gonka PoC validation workloads, not to general-purpose
OpenAI-API inference. In 0.19 the method was renamed from
_get_token_id_str to _get_decoded_token; the behavior change is the
same.
Overlay-only image build: pulls the official vllm/vllm-openai:v0.19.0 base (which already ships compiled .so extensions) and replays the gonka PoC v2 Python tree on top of site-packages/vllm/ via find -name '*.py' | tar | tar -x. Advantages over a from-source build: * No csrc/ compile — build completes in seconds, not ~30-60 min. * Overlay tracks the branch automatically; no Dockerfile COPY list to keep in sync with the patch set (the 0.15.1 poc-overlay Dockerfile was already out of sync with 12 of 19 modified files). Bakes in VLLM_ALLOW_INSECURE_SERIALIZATION=1 plus the FlashInfer NVFP4/FP8 MoE env vars needed for Kimi-K2.5-NVFP4 on Blackwell. Both FP4/FP8 flags are no-ops on non-NVFP4 models and non-Blackwell GPUs so they are safe as defaults. Dockerfile.poc-overlay and Dockerfile.poc-wheel from the 0.15.1 fork are intentionally not ported — the quick find|tar overlay replaces both.
Copies tests/gonka/ from tg/scratchpad_for_mode unchanged — the tests exercise the new public/semi-public surfaces (PoC routes, priority gating, enforced tokens, per-request logprobs_mode, grammar graceful degradation) that the preceding commits just wired up against 0.19. The live_* tests target a running vllm server and are used for the RTX PRO 6000 regression smoke + B200 NVFP4 benchmarks called out in the port plan; the non-live tests are unit-style and can run locally once vllm and its deps are installed.
Ports bf45627 from upstream tg/scratchpad_for_mode unchanged. Adds an opt-in PoC flag poc_stronger_rng (default False) that swaps the per-nonce input generator from generate_inputs (one 32-bit seed from SHA256) to the new generate_inputs_concat_murmur, which splits the 256-bit SHA256 into 8 x 32-bit sub-seeds, draws one segment per sub-seed via the existing murmur3 pipeline, and concatenates them. The flag threads through the request path: routes.py -> generate_queue.py -> engine_patch.py -> manager.py -> poc_model_runner.py -> gpu_random.py. Backward-compatible: default False means existing requests keep using the single-seed generator.
…AI API Ports upstream commits 517d056 + dd1ddce from tg/scratchpad_for_mode. Changes the CLI default for --gpu-memory-utilization from 0.9 (the CacheConfig default) to 0.925 when the engine is started in OPENAI_API_SERVER usage context. Other contexts keep the 0.9 default. Explicit --gpu-memory-utilization 0.x on the command line still wins. Implementation matches upstream: EngineArgs.gpu_memory_utilization type becomes float | None = None, the CLI parser overrides the default to None, and create_engine_config substitutes 0.925 or the original CacheConfig default based on usage_context.
…hed tokens default parameters baked into vllm
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`_create_v1_attn_metadata` was building `CommonAttentionMetadata` without
`seq_lens_cpu_upper_bound`. MLA backends (CUTLASS_MLA, FLASHINFER_MLA)
read this field in `metadata_builder.build(...)` and `assert is not None`
— hard crash on the first PoC step:
File "vllm/model_executor/layers/attention/mla_attention.py", line 1843
assert seq_lens_cpu is not None
AssertionError
Symptom on real hardware: nodes running mlnode-b200-kimi-k2-6 (TP=4,
EP=4, CUTLASS_MLA) report /v1/health = 200 but every worker crashes on
the first nonce. Reported by Паша on 2026-05-19.
The kwarg was present in the older 0.2.12-vllm0.20.0 builds; almost
certainly dropped during the v0.20.0 → 0.20.0-pocv2 port. Restoring as a
one-line addition that mirrors the `_seq_lens_cpu=seq_lens_cpu`
assignment immediately above it. Non-MLA backends ignore the field, so
this is universally safe across all PoC v2 deployments.
Historically this image was built and pushed by hand from a developer
machine. That made rebuilds opaque (no provenance, no SBOM, no public
signature) and unrepeatable (whoever owns the laptop owns the release).
This workflow makes Stage 1 a real CI artifact:
- Trigger: push to mb/feat/port-pocv2-vllm-* OR workflow_dispatch
- Build: Dockerfile.quick overlay (fast — no CUDA compile)
- Publish: ghcr.io/kaitakuai/vllm with BOTH a mutable
`<vllm-version>-pocv2` tag AND an immutable
`<vllm-version>-pocv2-<sha9>` tag (matches the existing
naming on 0.20.0-pocv2-0be8726de).
- Sign: cosign keyless via OIDC, attached to the published digest
- Attest: SLSA L3 provenance (mode=max) + SPDX SBOM via buildx
- Cache: registry buildcache for fast incremental rebuilds
The mlnode-foundry consumer pins by digest (tools/stage2.lock.cue), so
the mutable tag is human convenience only — the build chain's integrity
model rests on the digest, not the tag.
Triggered immediately on merge for any push under vllm/**, Dockerfile.quick,
or this workflow itself. Manual workflow_dispatch supports overriding
vllm_version and base_image (for testing alternate upstream bases without
renaming the branch).
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Summary
Port of PoC v2 from
release/v0.15.1torelease/v0.20.0. Mirrors thein-flight PR #29 (v0.19) commit-by-commit with v0.20-specific tweaks on top:
attention backend resolution, compilation config skip, baked-in default args,
dtype handling.
Status
TRITON_MLA backend) — vLLM healthy, PoC nonces generating.
release/v0.20.0by 21 commits, behind by 1 (drop-in clean).Commits
15 mirroring PR #29 + 6 v0.20-specific:
ed1b07efix compilation skip893188badd scratchpadb90121abake attention backend / logprobs mode / max_num_batched_tokens defaultsf16047bfix attention backend6c10757fix default args0be8726hardcode dtype autoTest plan