Shay 97971bd636 feat: add reviewed teaching loop for controlled correction learning ... Introduces teaching/ module with three-stage correction pipeline: 1. correction.py — extracts CorrectionCandidate from correction intents, binding correction text to the prior turn it references 2. review.py — validates candidates: rejects identity overrides (17 marker patterns) and empty corrections; produces ReviewedTeachingExample with deterministic SHA-256 review hash 3. store.py — bounded FIFO store for accepted examples; emits PackMutationProposal objects instead of mutating the vocab manifold directly; retrievable by subject Design invariants: - Identity override attempts are rejected at the review gate - Pack mutations are proposal-only (applied=False by default) - All traces are deterministic: same input → same candidate_id and review_hash Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-05-14 20:32:28 -07:00
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__init__.py	feat: add reviewed teaching loop for controlled correction learning	2026-05-14 20:32:28 -07:00
correction.py	feat: add reviewed teaching loop for controlled correction learning	2026-05-14 20:32:28 -07:00
review.py	feat: add reviewed teaching loop for controlled correction learning	2026-05-14 20:32:28 -07:00
store.py	feat: add reviewed teaching loop for controlled correction learning	2026-05-14 20:32:28 -07:00