Chaim
93a9404663
The style-exemplar corpus (channel B — the writer's block-level retrieval of Dafna's real prose) was FROZEN at the one-time seed backfill: new finals were enrolled into style_corpus but never broken into exemplars, so the richest style channel never grew (8137/8126/8174 had 0 exemplars). The writer kept retrieving only March–April seed paragraphs no matter how many finals were signed. Extract the per-decision exemplar logic (section→paragraph→Voyage-embed→replace) into a shared service `legal_mcp.services.style_exemplars.extract_and_store` — the SINGLE implementation now used by BOTH the one-time backfill and the live enrollment path (G2; no parallel extractor). `_enroll_final_in_library` calls it on every final upload (source='internal_committee', the same source the writer's search_style_exemplars reads). Voyage embeds over REST → container-safe; best-effort, surfaced in the upload response, never fails the upload. Effect: every signed final now grows the exemplar corpus, so the writer's block-level style retrieval improves with each decision — the core "learn from every decision" fix for channel B. Path A (style_distance_history) will track whether the larger exemplar pool reduces style-distance over time. Invariants: G2 (one extraction path shared by backfill + enroll), INV-LRN5 (style/structure prose only — substance routes elsewhere), INV-LRN4 (the draft↔final loop now feeds the exemplar channel, not just the lesson channel). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>