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>
791 B
791 B
Release Map
flowchart LR
Wave0["Wave 0 Baseline"] --> Wave1["Wave 1 Canon"]
Wave1 --> Wave2["Wave 2 Runtime 3"]
Wave2 --> Wave3["Wave 3 Studio"]
Wave3 --> Wave4["Wave 4 Firmware"]
Wave4 --> Wave5["Wave 5 Cleanup"]
Wave5 --> Wave6["Wave 6 Cutover"]
Exit Criteria
- Wave 0: baseline evidence captured and dirty-tree risks understood.
- Wave 1: architecture/spec/docs/plans canonized.
- Wave 2: Runtime 3 compiler and simulator usable on the canonical scenario.
- Wave 3: React/Blockly studio builds and previews Runtime 3.
- Wave 4: Freenove build path consumes the runtime contract without regression.
- Wave 5: legacy paths archived or deleted with proof of replacement.
- Wave 6: README, docs site, CI, and operator entrypoints all point to the new canon.