Commit History
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[NOTICKET] feat(knowledge_extraction): paid extraction stage + validate, diff, queue
Rifqi Hafizuddin +1: Claude Fable 5Completes every stage that does not depend on the seam. The pipeline now runs end to end: artifact -> filters -> cluster -> rank -> LLM -> validate -> diff -> frequency-sorted review queue. extract/ client on the nano __54n quad; structured output is PROBED not assumed (json_schema, falling back to json_object + validate-retry, recording which applied); cached tokens read from the API, never modelled. Four branches, one call per TERM CLUSTER. Prompts stay as files so the fixed prefix is byte-identical and caching keeps engaging. validate/ span check (whitespace-only normalisation, never repairs, unlocatable provenance rejects every guarded field), escalation, conflict detection by token overlap — explainable to the reviewer, and it never picks a winner. diff/ new / duplicate / conflicting against an explicitly supplied active glossary, so the duplicate and conflicting paths are reachable. The …ab5ea78 -
[NOTICKET] feat(knowledge_extraction): free stages — models, seam adapter, filters, cluster, ranking
Rifqi Hafizuddin +1: Claude Fable 5First slice of extraction v2, rebuilt in this repo (the kex prototype is not being ported). All stages here are free: zero API calls, CPU only. New module src/knowledge_extraction/ (named to avoid colliding with src/knowledge/, the existing OCR->pgvector service, which is untouched): - models.py pydantic v2 contracts. Encodes the three invariants: content fields Optional, subdomain_tags as an enum, provenance.span mandatory. Adds source_wording so the literal source wording survives instead of being normalised away. - adapter.py THE ONLY file that knows the seam's shape. Stages depend on an internal Chunk subset, so the artifact contract can settle either way without touching a stage. Verified against both live shapes: Sofhia's bare-list draft with its `kind` discriminator, and the document-level envelope proposed in the checklist.…024c30a