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4b9ffb5ddf
- Enhanced `ARCHITECTURE.md` with details on LLM models for work (Llama 3.1 70B Q4) and family agents (Phi-3 Mini 3.8B Q4). - Introduced new documents: - `ASR_EVALUATION.md` for ASR engine evaluation and selection. - `HARDWARE.md` outlining hardware requirements and purchase plans. - `IMPLEMENTATION_GUIDE.md` for Milestone 2 implementation steps. - `LLM_CAPACITY.md` assessing VRAM and context window limits. - `LLM_MODEL_SURVEY.md` surveying open-weight LLM models. - `LLM_USAGE_AND_COSTS.md` detailing LLM usage and operational costs. - `MCP_ARCHITECTURE.md` describing the Model Context Protocol architecture. - `MCP_IMPLEMENTATION_SUMMARY.md` summarizing MCP implementation status. These updates provide comprehensive guidance for the next phases of development and ensure clarity in project documentation.
216 lines
5.3 KiB
Markdown
216 lines
5.3 KiB
Markdown
# Implementation Status
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## Overview
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This document tracks the implementation progress of the Atlas voice agent system.
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**Last Updated**: 2026-01-06
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## Completed Implementations
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### ✅ TICKET-029: Minimal MCP Server
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**Status**: ✅ Complete and Running
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**Location**: `home-voice-agent/mcp-server/`
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**Components Implemented**:
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- ✅ JSON-RPC 2.0 server (FastAPI)
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- ✅ Tool registry system
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- ✅ Echo tool (testing)
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- ✅ Weather tool (stub)
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- ✅ Time/Date tools (4 tools)
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- ✅ Error handling
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- ✅ Health check endpoint
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- ✅ Test script
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**Tools Available**:
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1. `echo` - Echo tool for testing
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2. `weather` - Weather lookup (stub)
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3. `get_current_time` - Current time with timezone
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4. `get_date` - Current date information
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5. `get_timezone_info` - Timezone info with DST
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6. `convert_timezone` - Convert between timezones
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**Server Status**: ✅ Running on http://localhost:8000
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**Root Endpoint**: Returns enhanced JSON with:
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- Server status and version
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- Tool count (6 tools)
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- List of all tool names
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- Available endpoints
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**Test Results**: All 6 tools tested and working correctly
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### ✅ TICKET-030: MCP-LLM Integration
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**Status**: ✅ Complete
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**Location**: `home-voice-agent/mcp-adapter/`
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**Components Implemented**:
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- ✅ MCP adapter class
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- ✅ Tool discovery
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- ✅ Function call → MCP call conversion
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- ✅ MCP response → LLM format conversion
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- ✅ Error handling
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- ✅ Health check
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- ✅ Test script
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**Test Results**: ✅ All tests passing
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- Tool discovery: 6 tools found
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- Tool calling: echo, weather, get_current_time all working
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- LLM format conversion: Working correctly
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- Health check: Working
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**To Test**:
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```bash
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cd mcp-adapter
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pip install -r requirements.txt
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python test_adapter.py
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```
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### ✅ TICKET-032: Time/Date Tools
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**Status**: ✅ Complete
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**Location**: `home-voice-agent/mcp-server/tools/time.py`
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**Tools Implemented**:
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- ✅ `get_current_time` - Local time with timezone
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- ✅ `get_date` - Current date
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- ✅ `get_timezone_info` - DST and timezone info
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- ✅ `convert_timezone` - Timezone conversion
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**Status**: ✅ All 4 tools implemented and tested
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**Note**: Server restarted and all tools loaded successfully
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### ✅ LLM Server Setup Scripts
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**Status**: ✅ Setup scripts ready
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**TICKET-021: 4080 LLM Server**
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- ✅ Setup script created
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- ✅ Systemd service file created
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- ✅ README with instructions
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- ⏳ Pending: Actual server setup (requires Ollama installation)
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**TICKET-022: 1050 LLM Server**
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- ✅ Setup script created
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- ✅ Systemd service file created
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- ✅ README with instructions
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- ⏳ Pending: Actual server setup (requires Ollama installation)
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## In Progress
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None currently.
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## Pending Implementations
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### ⏳ Voice I/O Services
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**TICKET-006**: Prototype Wake-Word Node
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- ⏳ Pending hardware
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- ⏳ Pending wake-word engine selection
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**TICKET-010**: Implement ASR Service
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- ⏳ Pending: faster-whisper implementation
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- ⏳ Pending: WebSocket streaming
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**TICKET-014**: Build TTS Service
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- ⏳ Pending: Piper/Mimic implementation
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### ⏳ Integration
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**TICKET-023**: Implement LLM Routing Layer
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- ⏳ Pending: Routing logic
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- ⏳ Pending: LLM servers running
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### ⏳ More Tools
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**TICKET-031**: Weather Tool (Real API)
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- ⏳ Pending: Replace stub with actual API
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**TICKET-033**: Timers and Reminders
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- ⏳ Pending: Timer service implementation
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**TICKET-034**: Home Tasks (Kanban)
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- ⏳ Pending: Task management implementation
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### ⏳ Clients
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**TICKET-039**: Phone-Friendly Client
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- ⏳ Pending: PWA implementation
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**TICKET-040**: Web LAN Dashboard
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- ⏳ Pending: Web interface
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## Next Steps
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### Immediate
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1. ✅ **MCP Server** - Complete and running with 6 tools
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2. ✅ **MCP Adapter** - Complete and tested, all tests passing
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3. ✅ **Time/Date Tools** - All 4 tools implemented and working
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### Ready to Start
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3. **Set Up LLM Servers** (if hardware ready)
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```bash
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# 4080 Server
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cd llm-servers/4080
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./setup.sh
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# 1050 Server
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cd llm-servers/1050
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./setup.sh
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```
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### Short Term
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4. **Integrate MCP Adapter with LLM**
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- Connect adapter to LLM servers
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- Test end-to-end tool calling
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5. **Add More Tools**
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- Weather tool (real API)
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- Timers and reminders
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- Home tasks (Kanban)
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## Testing Status
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- ✅ MCP Server: Running and fully tested (6 tools)
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- ✅ MCP Adapter: Complete and tested (all tests passing)
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- ✅ Time Tools: All 4 tools implemented and working
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- ✅ Root Endpoint: Enhanced JSON with tool information
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- ⏳ LLM Servers: Setup scripts ready, pending server setup
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- ⏳ Integration: Pending LLM servers
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## Known Issues
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- None currently - all implemented components are working correctly
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## Dependencies
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### External Services
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- Ollama (for LLM servers) - Installation required
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- Weather API (for weather tool) - API key needed
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- Hardware (microphones, always-on node) - Purchase pending
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### Python Packages
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- FastAPI, Uvicorn (MCP server) - ✅ Installed
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- pytz (time tools) - ✅ Added to requirements
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- requests (MCP adapter) - ✅ In requirements.txt
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- Ollama Python client (future) - For LLM integration
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- faster-whisper (future) - For ASR
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- Piper/Mimic (future) - For TTS
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---
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**Progress**: 16/46 tickets complete (34.8%)
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- ✅ Milestone 1: 13/13 tickets complete (100%)
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- ✅ Milestone 2: 3/19 tickets complete (15.8%)
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- ✅ TICKET-029: MCP Server
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- ✅ TICKET-030: MCP-LLM Adapter
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- ✅ TICKET-032: Time/Date Tools
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