L'électron rare
20aed903ba
- 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>
743 B
743 B
Custom Agent – Printables
Scope
printables/manifests/** and printables/src/**.
Do
- Validate
printables/manifests/zacus_v2_printables.yamlviapython3 tools/printables/validate_manifest.pyafter updates. - Preserve deterministic naming and export references for every asset.
Must Not
- Regenerate large binary exports unless explicitly requested.
- Introduce ad-hoc artifact folders into git.
References
printables/AGENTS.md
Plan d’action
- Valider le manifeste printables.
- run: python3 tools/printables/validate_manifest.py printables/manifests/zacus_v2_printables.yaml
- Refaire les exports synchronisés si nécessaire (RG).
- run: rg -n 'file:' printables/manifests/zacus_v2_printables.yaml