Commit History
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[NOTICKET] refactor(knowledge-extraction): BriefContext -> DomainContext
Rifqi Hafizuddin +1: Claude Opus 5The workstream diagram has always called this box "Domain Knowledge", while the model and its fields described a short orientation card. Rename the entity to match the intent before anything is persisted: once an expert has approved rows keyed on these ids, changing the `b_` prefix is an id migration that loses the approvals - the exact failure the deterministic-id scheme exists to prevent. BriefContext -> DomainContext brief_id -> domain_id (prefix b_ -> d_) ExtractionResult.brief -> .domain brief_context.json -> domain_context.json Deliberately unchanged: - `Branch = "summary"` and GUARDED_FIELDS["summary"]. The branch literal is the measurement key in CallUsage.branch / RejectedField.branch; renaming it would break comparability with the committed eval baseline. - prompts/summary.txt. Editing prompt text needs the eval path, and the rewrite belongs with the v3 schema change, not with a rename. No field, prompt or guarding change - the …7f47c61
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[NOTICKET] feat(knowledge_extraction): output schema v2 — entity ids, links, 16 fields cut
Rifqi Hafizuddin +1: Claude Fable 5Harry's review of the output contract asked for four things: an id on every entity, a formula referenced rather than restated, rules related to formulas, and a smaller schema. All four are adopted. Two defects surfaced while adding the ids, and they matter more than the ids do. Neither existing identifier survived a re-run: `cluster_id` was a frequency-rank ordinal (`#c000` over a list sorted by mention count), so one changed count reshuffled every id after it, and `rule_id` was written by the model, so the same rule could return a different slug next run. The product is an expert working a review queue — if Mas Beta approves 40 entries and a prompt is retuned, unstable ids lose which 40. Approval continuity, not linking, is why these exist. New `ids.py` mints term/formula/rule/brief ids as sha256 over content: never positional, never model-supplied. New `link.py` resolves every reference after the branches run — deterministic, no LLM, no spend — and returns dangle counts rather than…49dfe4d