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nesquena-hermes
e2ade27bfe
When a settled assistant turn carries _anchor_activity_scene and has mixed content[] (text interleaved with tool_use), promote that ordering into anchor scene rows (prose / tool / thinking rows in sequence) instead of only the raw content[] fallback, and mirror the same scene model in the backend hydration path so a cold reload reconstructs an identical transcript. Also fixes: post-tool_use text/thinking in a NON-FINAL assistant message was silently dropped — only the turn-final assistant's post-last-tool text is the "final answer" tail; earlier assistant messages keep post-tool content as activity rows. Tail thinking is excluded from the final-answer text but still emitted as a thinking row (verified on both JS and Python paths). Tool-row de-duplication is conservative — ID-equal always merges; name/ invocation matches are cardinality-gated and same-message; body-prefix is only a secondary confirmation inside the id-flexible branch (also requires matching started_at + compatible name + invocation). It biases toward an extra visible tool card over ever silently merging two distinct calls. Gate: Codex SAFE (tail-thinking edge verified already-handled both sides), Opus SHIP (dedup fails toward duplicate-not-loss; non-final preservation, XSS, non-mixed regression all clean), full suite 10778 passed (only the 4 known pre-existing flakes). One non-blocking follow-up noted: bring the prose/thinking peer-dedup into JS↔Python parity (cosmetic cold-reload extra-narration row). Co-authored-by: franksong2702 <franksong2702@users.noreply.github.com>