New optional module (D24): explains the collected findings in plain language,
contacted ONLY on an explicit user action (never automatic).
- core/ai.py: provider chosen explicitly (no default) — ollama (local) or claude
(Anthropic Messages API via stdlib urllib; key in keyring). Grounded prompt;
HTTP error parsing; one-shot (no thinking/caching — snappy).
- core/ai_knowledge.py: curated reference KB (Xid/SMART/Proton/tunables),
exact keyword/code match ("RAG-lite", no embeddings) injected into the prompt —
lifts local models, sharpens Claude. No fine-tuning.
- config: ai_provider/ai_model/ai_endpoint + keyring-backed AI key (generalized
the token keyring helpers).
- GUI: Settings → AI assistant (provider radios, model/endpoint/key, Save/Test);
"Explain with AI" button on the diagnostic dialog (consent prompt for cloud).
- CLI: `rigdoctor ai status|test|explain`.
- Docs: D24, SPEC/MODULES/ROADMAP (Phase 7); tests for providers/grounding/parse.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
jessey
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