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atlas/docs/IMPLEMENTATION_STATUS.md
ilia 4b9ffb5ddf docs: Update architecture and add new documentation for LLM and MCP 
- 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.
2026-01-05 23:44:16 -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 (stub)
  • ✅ Time/Date tools (4 tools)
  • ✅ Error handling
  • ✅ Health check endpoint
  • ✅ Test script

Tools Available:

  1. echo - Echo tool for testing
  2. weather - Weather lookup (stub)
  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:

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

✅ LLM Server Setup Scripts

Status: ✅ Setup scripts ready

TICKET-021: 4080 LLM Server

  • ✅ Setup script created
  • ✅ Systemd service file created
  • ✅ README with instructions
  • ⏳ Pending: Actual server setup (requires Ollama installation)

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

⏳ Integration

TICKET-023: Implement LLM Routing Layer

  • ⏳ Pending: Routing logic
  • ⏳ Pending: LLM servers running

⏳ More Tools

TICKET-031: Weather Tool (Real API)

  • ⏳ Pending: Replace stub with actual API

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

  1. Set Up LLM Servers (if hardware ready) 
    # 4080 Server
cd llm-servers/4080
./setup.sh

# 1050 Server
cd llm-servers/1050
./setup.sh

Short Term

  1. Integrate MCP Adapter with LLM

    • Connect adapter to LLM servers
    • Test end-to-end tool calling

  2. 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: 16/46 tickets complete (34.8%)

  • ✅ Milestone 1: 13/13 tickets complete (100%)
  • ✅ Milestone 2: 3/19 tickets complete (15.8%)
    • ✅ TICKET-029: MCP Server
    • ✅ TICKET-030: MCP-LLM Adapter
    • ✅ TICKET-032: Time/Date Tools