# 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