 L'électron rare
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20aed903ba
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feat: AI integration — voice pipeline, hints engine, MCP server, analytics, security
- Voice pipeline: ESP32 WebSocket client → voice bridge → LLM → Piper TTS (Tower :8001)
- Hints engine: 3 puzzles (LA_440, LEFOU_PIANO, QR_FINALE), anti-cheat, 3 hint levels
- MCP hardware server: 6 tools (puzzle, audio, LED, camera, scenario, status), stdio transport
- Analytics: ESP32 module + 6 web endpoints + Dashboard UI with chat interface
- Security: auth middleware (Bearer NVS), rate limiting, input validation on 30 endpoints
- Frontend: code-split (1.1MB → 210KB initial), ErrorBoundary, API timeout, WS reconnect
- Tests: 24 Python + 38 TypeScript + 18 MCP = 80 project tests (+ 19 mascarade)
- Specs: AI_INTEGRATION_SPEC, MCP_HARDWARE_SERVER_SPEC, QA_TEST_MATRIX_SPEC
- Docs: SECURITY, DEPLOYMENT_RUNBOOK, voice pipeline guide, AI architecture map
- 6 AI agent definitions (.github/agents/ai_*.md)
- TUI orchestration script (tools/dev/zacus_tui.py)
- Docker compose TTS for Tower + KXKM-AI
- CHANGELOG, README, mkdocs.yml updated
- Cycle detection (DFS) in runtime3 validator
- Sprint plan: plans/SPRINT_AI_INTEGRATION.md
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-03-22 13:52:45 +01:00 |
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