Commit History
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[NOTICKET] fix: gate spend in cluster units and surface the estimate (Step 6)
Rifqi Hafizuddin +1: Claude Opus 5Found on the way in, and it is the bigger half of this commit: the pre-flight ceiling was gating on a PARTIAL number. `estimate_cost` summed the glossary branch alone while reporting a field named `estimated_prompt_tokens`, so every consumer read a part as a whole. Measured on the three v2 artifacts, free: clusters calls old (glossary) new (all four) undercount BUMA 83 106 170,466 201,751 18.4% Komatsu 93 95 208,993 227,329 8.8% Open Pit 427 494 1,354,283 1,560,548 15.2% The Open Pit chapter is at 78.0% of the 2M ceiling, not 71%. Adds a SECOND ceiling on cluster count, which is what actually drives spend -- one LLM call per term cluster -- and unlike the token figure is exact and known for free. Two things the token ceiling cannot see: the cache hit rate degrades as a run grows, so the real bill rises faster than the estimate; and part of that estimate is…cdb5fe8
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/feat knowledge management (#20)
- [NOTICKET] docs: knowledge pipeline test integration — context, audited task checklist, DEV_PLAN §0.8 (8e69dc6c638509f4dd7b6775d520fb4aa4efbd3e) - [NOTICKET] docs: knowledge pipeline — reframe kex as prototype, not port target (7cce5ffc9ab88791ac139dbef8e88e124a3d049e) - [NOTICKET] feat(eval): knowledge-extraction gold set, scorer + frozen prototype baseline (60cf4a885ef31a8aa64916f5a70ac5a0e8062c5f) - [NOTICKET] chore: add missing planner and readiness eval results (bd6659b3bf523597e4482b04ab1fcff5e1284d25) - [NOTICKET] feat(knowledge_extraction): free stages — models, seam adapter, filters, cluster, ranking (024c30abd1189119d33508eded334fe5a3ed5011) - [NOTICKET] fix(knowledge_extraction): move runner into the package; fix two ranking defects (72605ff6876a7936ab685d417c766ce820f6214b) - [NOTICKET] feat(knowledge_extraction): span filter — E1 recall 0.8537, matches the frozen baseline (3a016343398753cf730d50548c0e92ff47c6716c) - [NOTICKET] feat(knowledge_extraction): paid extraction …b68816f
