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atlas/docs/IMPLEMENTATION_STATUS.md
ilia bdbf09a9ac feat: Implement voice I/O services (TICKET-006, TICKET-010, TICKET-014) 
✅ 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/
2026-01-12 22:22:38 -05:00

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# Implementation Status
## Overview
This document tracks the implementation progress of the Atlas voice agent system.
**Last Updated**: 2026-01-06
## Completed Implementations
### ✅ TICKET-029: Minimal MCP Server
**Status**: ✅ Complete and Running
**Location**: `home-voice-agent/mcp-server/`
**Components Implemented**:
- ✅ JSON-RPC 2.0 server (FastAPI)
- ✅ Tool registry system
- ✅ Echo tool (testing)
- ✅ Weather tool (OpenWeatherMap API) ✅ Real API
- ✅ Time/Date tools (4 tools)
- ✅ Error handling
- ✅ Health check endpoint
- ✅ Test script
**Tools Available**:
1. `echo` - Echo tool for testing
2. `weather` - Weather lookup (OpenWeatherMap API) ✅ Real API
3. `get_current_time` - Current time with timezone
4. `get_date` - Current date information
5. `get_timezone_info` - Timezone info with DST
6. `convert_timezone` - Convert between timezones
**Server Status**: ✅ Running on http://localhost:8000
**Root Endpoint**: Returns enhanced JSON with:
- Server status and version
- Tool count (6 tools)
- List of all tool names
- Available endpoints
**Test Results**: All 6 tools tested and working correctly
### ✅ TICKET-030: MCP-LLM Integration
**Status**: ✅ Complete
**Location**: `home-voice-agent/mcp-adapter/`
**Components Implemented**:
- ✅ MCP adapter class
- ✅ Tool discovery
- ✅ Function call → MCP call conversion
- ✅ MCP response → LLM format conversion
- ✅ Error handling
- ✅ Health check
- ✅ Test script
**Test Results**: ✅ All tests passing
- Tool discovery: 6 tools found
- Tool calling: echo, weather, get_current_time all working
- LLM format conversion: Working correctly
- Health check: Working
**To Test**:
```bash
cd mcp-adapter
pip install -r requirements.txt
python test_adapter.py
```
### ✅ TICKET-032: Time/Date Tools
**Status**: ✅ Complete
**Location**: `home-voice-agent/mcp-server/tools/time.py`
**Tools Implemented**:
- ✅ `get_current_time` - Local time with timezone
- ✅ `get_date` - Current date
- ✅ `get_timezone_info` - DST and timezone info
- ✅ `convert_timezone` - Timezone conversion
**Status**: ✅ All 4 tools implemented and tested
**Note**: Server restarted and all tools loaded successfully
### ✅ TICKET-021: 4080 LLM Server
**Status**: ✅ Complete and Connected
**Location**: `home-voice-agent/llm-servers/4080/`
**Components Implemented**:
- ✅ Server connection configured (http://10.0.30.63:11434)
- ✅ Configuration file with endpoint settings
- ✅ Connection test script
- ✅ Model selection (llama3.1:8b - can be changed to 70B if VRAM available)
- ✅ README with usage instructions
**Server Details**:
- **Endpoint**: http://10.0.30.63:11434
- **Service**: Ollama
- **Model**: llama3.1:8b (default, configurable)
- **Status**: ✅ Connected and tested
**Test Results**: ✅ Connection successful, chat endpoint working
**To Test**:
```bash
cd home-voice-agent/llm-servers/4080
python3 test_connection.py
```
**TICKET-022: 1050 LLM Server**
- ✅ Setup script created
- ✅ Systemd service file created
- ✅ README with instructions
- ⏳ Pending: Actual server setup (requires Ollama installation)
## In Progress
None currently.
## Pending Implementations
### ⏳ Voice I/O Services
**TICKET-006**: Prototype Wake-Word Node
- ⏳ Pending hardware
- ⏳ Pending wake-word engine selection
**TICKET-010**: Implement ASR Service
- ⏳ Pending: faster-whisper implementation
- ⏳ Pending: WebSocket streaming
**TICKET-014**: Build TTS Service
- ⏳ Pending: Piper/Mimic implementation
### ✅ TICKET-023: LLM Routing Layer
**Status**: ✅ Complete
**Location**: `home-voice-agent/routing/`
**Components Implemented**:
- ✅ Router class for request routing
- ✅ Work/family agent routing logic
- ✅ Health check functionality
- ✅ Request handling with timeout
- ✅ Configuration for both agents
- ✅ Test script
**Features**:
- Route based on explicit agent type
- Route based on client type (desktop → work, phone → family)
- Route based on origin/IP (configurable)
- Default to family agent for safety
- Health checks for both agents
**Status**: ✅ Implemented and tested
### ✅ TICKET-024: LLM Logging & Metrics
**Status**: ✅ Complete
**Location**: `home-voice-agent/monitoring/`
**Components Implemented**:
- ✅ Structured JSON logging
- ✅ Metrics collection per agent
- ✅ Request/response logging
- ✅ Error tracking
- ✅ Hourly statistics
- ✅ Token counting
- ✅ Latency tracking
**Features**:
- Log all LLM requests with full context
- Track metrics: requests, latency, tokens, errors
- Separate metrics for work and family agents
- JSON log format for easy parsing
- Metrics persistence
**Status**: ✅ Implemented and tested
### ✅ TICKET-031: Weather Tool (Real API)
**Status**: ✅ Complete
**Location**: `home-voice-agent/mcp-server/tools/weather.py`
**Components Implemented**:
- ✅ OpenWeatherMap API integration
- ✅ Location parsing (city names, coordinates)
- ✅ Unit support (metric, imperial, kelvin)
- ✅ Rate limiting (60 requests/hour)
- ✅ Error handling (API errors, network errors)
- ✅ Formatted weather output
- ✅ API key configuration via environment variable
**Setup Required**:
- Set `OPENWEATHERMAP_API_KEY` environment variable
- Get free API key at https://openweathermap.org/api
**Status**: ✅ Implemented and registered in MCP server
**TICKET-033**: Timers and Reminders
- ⏳ Pending: Timer service implementation
**TICKET-034**: Home Tasks (Kanban)
- ⏳ Pending: Task management implementation
### ⏳ Clients
**TICKET-039**: Phone-Friendly Client
- ⏳ Pending: PWA implementation
**TICKET-040**: Web LAN Dashboard
- ⏳ Pending: Web interface
## Next Steps
### Immediate
1. ✅ **MCP Server** - Complete and running with 6 tools
2. ✅ **MCP Adapter** - Complete and tested, all tests passing
3. ✅ **Time/Date Tools** - All 4 tools implemented and working
### Ready to Start
3. **Set Up LLM Servers** (if hardware ready)
```bash
# 4080 Server
cd llm-servers/4080
./setup.sh
# 1050 Server
cd llm-servers/1050
./setup.sh
```
### Short Term
4. **Integrate MCP Adapter with LLM**
- Connect adapter to LLM servers
- Test end-to-end tool calling
5. **Add More Tools**
- Weather tool (real API)
- Timers and reminders
- Home tasks (Kanban)
## Testing Status
- ✅ MCP Server: Running and fully tested (6 tools)
- ✅ MCP Adapter: Complete and tested (all tests passing)
- ✅ Time Tools: All 4 tools implemented and working
- ✅ Root Endpoint: Enhanced JSON with tool information
- ⏳ LLM Servers: Setup scripts ready, pending server setup
- ⏳ Integration: Pending LLM servers
## Known Issues
- None currently - all implemented components are working correctly
## Dependencies
### External Services
- Ollama (for LLM servers) - Installation required
- Weather API (for weather tool) - API key needed
- Hardware (microphones, always-on node) - Purchase pending
### Python Packages
- FastAPI, Uvicorn (MCP server) - ✅ Installed
- pytz (time tools) - ✅ Added to requirements
- requests (MCP adapter) - ✅ In requirements.txt
- Ollama Python client (future) - For LLM integration
- faster-whisper (future) - For ASR
- Piper/Mimic (future) - For TTS
---
**Progress**: 28/46 tickets complete (60.9%)
- ✅ Milestone 1: 13/13 tickets complete (100%)
- ✅ Milestone 2: 13/19 tickets complete (68.4%)
- 🚀 Milestone 3: 2/14 tickets complete (14.3%)
- ✅ TICKET-029: MCP Server
- ✅ TICKET-030: MCP-LLM Adapter
- ✅ TICKET-032: Time/Date Tools
- ✅ TICKET-021: 4080 LLM Server
- ✅ TICKET-031: Weather Tool
- ✅ TICKET-033: Timers and Reminders
- ✅ TICKET-034: Home Tasks (Kanban)
- ✅ TICKET-035: Notes & Files Tools
- ✅ TICKET-025: System Prompts
- ✅ TICKET-026: Tool-Calling Policy
- ✅ TICKET-027: Multi-turn Conversation Handling
- ✅ TICKET-023: LLM Routing Layer
- ✅ TICKET-024: LLM Logging & Metrics
- ✅ TICKET-044: Boundary Enforcement
- ✅ TICKET-045: Confirmation Flows
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