test(harness): fix p06-tailscale false positive, 18/18 PASS
The fixture's expect_absent: "GigaBIT" was catching legitimate semantic overlap, not retrieval bleed. The p06 ARCHITECTURE.md Overview describes the Polisher Suite as built for the GigaBIT M1 mirror — it is what the polisher is for, so the word appears correctly in p06 content. All retrieved sources for this prompt were genuinely p06/shared paths; zero actual p04 chunks leaked. Narrowed the assertion to expect_absent: "[Source: p04-gigabit/", which tests the real invariant (no p04 source chunks retrieved into p06 context) without the false positive. No retrieval/ranking code change. Fixture-only fix. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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- **last_updated**: 2026-04-15 by Claude (deploy caught up; R10/R13 closed)
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- **main_tip**: `c2e7064` (plus one pending doc/ledger commit for this session)
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- **test_count**: 299 collected via `pytest --collect-only -q` on a clean checkout, 2026-04-15 (reproduction recipe in Quick Commands)
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- **harness**: `17/18 PASS` (only p06-tailscale — chunk bleed)
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- **harness**: `18/18 PASS`
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- **vectors**: 33,253
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- **active_memories**: 84 (31 project, 23 knowledge, 10 episodic, 8 adaptation, 7 preference, 5 identity)
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- **candidate_memories**: 2
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@@ -159,6 +159,8 @@ One branch `codex/extractor-eval-loop` for Day 1-5, a second `codex/retrieval-ha
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## Session Log
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- **2026-04-15 Claude (pm)** Closed the last harness failure honestly. **p06-tailscale fixed: 18/18 PASS.** Root-caused: not a retrieval bug — the p06 `ARCHITECTURE.md` Overview chunk legitimately mentions "the GigaBIT M1 telescope mirror" because the Polisher Suite is built *for* that mirror. All four retrieved sources for the tailscale prompt were genuinely p06/shared paths; zero actual p04 chunks leaked. The fixture's `expect_absent: GigaBIT` was catching semantic overlap, not retrieval bleed. Narrowed it to `expect_absent: "[Source: p04-gigabit/"` — a source-path check that tests the real invariant (no p04 source chunks in p06 context). Other p06 fixtures still use the word-blacklist form; they pass today because their more-specific prompts don't pull the ARCHITECTURE.md Overview, so I left them alone rather than churn fixtures that aren't failing. Did NOT change retrieval/ranking — no code change, fixture-only fix. Tests unchanged at 299.
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- **2026-04-15 Claude** Deploy + doc debt sweep. Deployed `c2e7064` to Dalidou (build_time 2026-04-15T15:08:51Z, build_sha matches, /health ok) so R11/R12 are now live, not just on main. **R11 verified on live**: `POST /admin/extract-batch {"mode":"llm"}` against http://127.0.0.1:8100 returns HTTP 503 with the operator-facing "claude CLI not on PATH, run host-side script or use mode=rule" message — exactly the post-fix contract. **R13 closed (fixed)**: added a reproduction recipe to Quick Commands (`pip install -r requirements-dev.txt && pytest --collect-only -q && pytest -q`) and re-cited `test_count: 299` against a fresh local collection on 2026-04-15, so the claim is now auditable from any clean checkout — Codex's audit worktree just needs `pip install -r requirements-dev.txt`. **R10 closed (fixed)**: rewrote the `docs/master-plan-status.md` OpenClaw section to explicitly disclaim "primary integration" and report the current narrow surface: 14 client request shapes against ~44 server routes, predominantly read + `/project/state` + `/ingest/sources`, with memory/interactions/admin/entities/triage/extraction writes correctly out of scope. Open findings now: none blocking. Next natural move: the last harness failure `p06-tailscale` (chunk bleed).
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- **2026-04-14 Claude (pm)** Closed R11+R12, declined R3. **R11 (fixed):** `POST /admin/extract-batch` with `mode="llm"` now returns 503 when the `claude` CLI is not on PATH, with a message pointing at the host-side script. Previously it silently returned a success-0 payload, masking host-vs-container truth. 2 new tests in `test_extraction_pipeline.py` cover the 503 path and the rule-mode-still-works path. **R12 (fixed):** extracted shared `SYSTEM_PROMPT` + `parse_llm_json_array` + `normalize_candidate_item` + `build_user_message` into stdlib-only `src/atocore/memory/_llm_prompt.py`. Both `src/atocore/memory/extractor_llm.py` (container) and `scripts/batch_llm_extract_live.py` (host) now import from it. The host script uses `sys.path` to reach the stdlib-only module without needing the full atocore package. Project-attribution policy stays path-specific (container uses registry-check; host defers to server). **R3 (declined):** rule cues not firing on conversational LLM text is by design now — the LLM extractor (llm-0.4.0) is the production path for conversational content as of the Day 4 gate (2026-04-12). Expanding rules to match conversational prose risks the FP blowup Day 2 already showed. Rule extractor stays narrow for structural PKM text. Tests 297 → 299. Live `/health` still `58ea21d`; this session's changes need deploy.
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