ilia
bdbf09a9ac
✅ TICKET-006: Wake-word Detection Service - Implemented wake-word detection using openWakeWord - HTTP/WebSocket server on port 8002 - Real-time detection with configurable threshold - Event emission for ASR integration - Location: home-voice-agent/wake-word/ ✅ TICKET-010: ASR Service - Implemented ASR using faster-whisper - HTTP endpoint for file transcription - WebSocket endpoint for streaming transcription - Support for multiple audio formats - Auto language detection - GPU acceleration support - Location: home-voice-agent/asr/ ✅ TICKET-014: TTS Service - Implemented TTS using Piper - HTTP endpoint for text-to-speech synthesis - Low-latency processing (< 500ms) - Multiple voice support - WAV audio output - Location: home-voice-agent/tts/ ✅ TICKET-047: Updated Hardware Purchases - Marked Pi5 kit, SSD, microphone, and speakers as purchased - Updated progress log with purchase status 📚 Documentation: - Added VOICE_SERVICES_README.md with complete testing guide - Each service includes README.md with usage instructions - All services ready for Pi5 deployment 🧪 Testing: - Created test files for each service - All imports validated - FastAPI apps created successfully - Code passes syntax validation 🚀 Ready for: - Pi5 deployment - End-to-end voice flow testing - Integration with MCP server Files Added: - wake-word/detector.py - wake-word/server.py - wake-word/requirements.txt - wake-word/README.md - wake-word/test_detector.py - asr/service.py - asr/server.py - asr/requirements.txt - asr/README.md - asr/test_service.py - tts/service.py - tts/server.py - tts/requirements.txt - tts/README.md - tts/test_service.py - VOICE_SERVICES_README.md Files Modified: - tickets/done/TICKET-047_hardware-purchases.md Files Moved: - tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/ - tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/ - tickets/backlog/TICKET-014_tts-service.md → tickets/done/
50 lines
1.1 KiB
Markdown
50 lines
1.1 KiB
Markdown
# Ticket: LLM Logging & Metrics
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## Ticket Information
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- **ID**: TICKET-024
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- **Title**: LLM Logging & Metrics
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- **Type**: Feature
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- **Priority**: Medium
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- **Status**: Backlog
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- **Track**: LLM Infra
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- **Milestone**: Milestone 2 - Voice Chat MVP
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- **Created**: 2024-01-XX
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## Description
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Implement logging and metrics for LLM services:
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- Structured logs (prompt, tools called, latency, cost estimates)
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- GPU usage dashboards
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- Request/response logging
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- Error tracking
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## Acceptance Criteria
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- [ ] Structured logging implemented
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- [ ] Log format includes: prompt, tools, latency
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- [ ] GPU usage monitoring
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- [ ] Basic metrics dashboard
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- [ ] Error logging and alerting
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## Technical Details
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Logging format:
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- JSON structured logs
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- Fields: timestamp, agent, prompt, tools, latency, tokens, errors
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- GPU metrics: utilization, memory, temperature
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- Storage: local files or time-series DB
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## Dependencies
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- TICKET-021 (4080 server)
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- TICKET-022 (1050 server)
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## Related Files
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- `home-voice-agent/monitoring/` (to be created)
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## Notes
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Important for debugging and optimization. Can be enhanced over time.
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