The calibrated DSE engine (4-layer: regex-boost / keyword / BGE-M3 embedding
recall @0.65 / semantic-validator) existed ONLY in the running macmini
container (docker cp'd, never committed) — at risk of loss on any container
rebuild. This recovers it into git and wires it into the live check path.
- Recover dse/{agent,v3_engine,_embedding_recall,_classification_gate,
regex_boost,mcs,deep_check}.py. DSEAgent (v3, BaseSpecialistAgent) replaces
the keyword-only stub: delegates MC-loading to the main engine
(rag_document_checker._load_controls), deterministic cached embedding recall
(reachability-gated), semantic-validator LLM layer honoring skip_llm,
third-country -> HIGH on documented transfer.
- Wire "dse" into _agent_outputs._TOPIC_AGENTS -> live check emits a validated
DSE tab (was snapshot/legacy-only).
- Tests rewritten for v3 (DB/embedding/LLM stubbed offline): regex-boost
detection, embedding-recall reachability guard, result->Finding conversion,
third-country HIGH; topic-wiring asserts "dse".
- deep_check.py recovered for preservation (alternate LLM-judge path, unwired).
Runtime data deps for full live behavior (note for prod): doc_check_controls
in DB + /data/mc_classification.db embedding sidecar + embedding-service; all
degrade gracefully (keyword layer carries) if absent.
dev-only, no deploy.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Benjamin Admin
f6d018234b