R7: ranking scorer now uses overlap-density (overlap_count /
memory_token_count) as primary key instead of raw overlap count.
A 5-token memory with 3 overlapping tokens (density 0.6) now beats
a 40-token overview memory with 3 overlapping tokens (density 0.075)
at the same absolute count. Secondary: absolute overlap. Tertiary:
confidence. Targeting p06-firmware-interface harness fixture.
R9: when the LLM extractor returns a project that differs from the
interaction's known project, it now checks the project registry.
If the model's project is a registered canonical ID, trust it. If
not (hallucinated name), fall back to the interaction's project.
Uses load_project_registry() for the check. The host-side script
mirrors this via an API call to GET /projects at startup.
Two new tests: test_parser_keeps_registered_model_project and
test_parser_rejects_hallucinated_project.
Test count: 280 -> 281.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Dalidou runs Claude Code 2.0.60 which does not have this flag
(added in 2.1.x). Removed from both extractor_llm.py and the
host-side batch script. --append-system-prompt and
--disable-slash-commands are supported on 2.0.60.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
GET /interactions returns response_chars but not the response body
to keep the listing lightweight. The batch extractor now lists ids
first, then fetches each interaction individually via
GET /interactions/{id} to get the full response for LLM extraction.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The host Python on Dalidou lacks pydantic_settings and other
container-only deps. Refactored batch_llm_extract_live.py to be
a standalone HTTP client + subprocess wrapper using only stdlib.
Duplicates the system prompt and JSON parser from extractor_llm.py
rather than importing them — acceptable duplication since this
is a deployment adapter, not a library.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The claude CLI is installed on the Dalidou HOST but not inside
the Docker container. The /admin/extract-batch API endpoint with
mode=llm silently returned 0 candidates because
shutil.which('claude') was None inside the container.
Fix: extraction runs host-side via deploy/dalidou/batch-extract.sh
which calls scripts/batch_llm_extract_live.py with the host's
PYTHONPATH pointing at the repo's src/. The script:
- Fetches interactions from the API (GET /interactions?since=...)
- Runs extract_candidates_llm() locally (host has claude CLI)
- POSTs candidates back to the API (POST /memory, status=candidate)
- Tracks last-run timestamp via project state
The cron now calls the host-side script instead of the container
API endpoint for LLM mode. Rule-mode extraction in the container
still works via /admin/extract-batch.
The API endpoint retains the mode=llm option for environments
where claude IS inside the container (future Docker image with
claude CLI, or a different deployment model).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
