docker-compose.arm64.yml

services:
  neo4j:
    image: neo4j:5.15-community
    container_name: neo4j_db
    ports:
      - "7474:7474"  # HTTP Browser UI
      - "7687:7687"  # Bolt protocol
    volumes:
      - ./data/neo4j:/data
      - ./logs/neo4j:/logs
      - ./data/neo4j/import:/var/lib/neo4j/import
    environment:
      - NEO4J_AUTH=neo4j/${NEO4J_PASSWORD:-password}
      - NEO4J_dbms_memory_pagecache_size=512M
      - NEO4J_dbms_memory_heap_initial__size=512M
      - NEO4J_dbms_memory_heap_max__size=2G
      - NEO4J_PLUGINS=["apoc"]
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "cypher-shell -u neo4j -p $${NEO4J_PASSWORD:-password} 'RETURN 1' || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s
    networks:
      - mcp_network

  copilot-api:
    image: timothyswt/copilot-api-arm64:latest
    container_name: copilot_api_server
    ports:
      - "4141:4141" # Fixed: copilot-api listens on 4141, not 3000
    volumes:
      - ./copilot-data:/root/.local/share/copilot-api # Persist GitHub token
    environment:
      - NODE_ENV=production
      # Remove PORT=3000, the app uses 4141 by default
    restart: unless-stopped
    healthcheck:
      # Use CMD-SHELL so shell operators (||) work and allow a proper HTTP probe
      test: ["CMD-SHELL", "wget --spider -q http://localhost:4141/ || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 5
      start_period: 15s
    networks:
      - mcp_network
  llama-server:
    image: timothyswt/llama-cpp-server-arm64-mxbai:latest
    container_name: llama_server
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://localhost:8080/health || exit 1"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s
    networks:
      - mcp_network
    # Uncomment if you have GPU support (NVIDIA)
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: 1
    #           capabilities: [gpu]
  # Vision-Language server for multimodal embeddings (images + text)
  # Uncomment to enable image embeddings, or swap with llama-server above
  llama-vl-server:
    image: timothyswt/llama-cpp-server-arm64-qwen2.5-vl-2b:latest
    container_name: llama_vl_server
    # ports:
    #   - "11436:8080"  # Different external port: 11435 -> Internal 8080
    environment:
     # Server Configuration
      - LLAMA_ARG_HOST=127.0.0.1
      - LLAMA_ARG_PORT=8080
      - LLAMA_ARG_CTX_SIZE=8192
      - LLAMA_ARG_N_PARALLEL=4
      
      # Embeddings-specific
      - LLAMA_ARG_EMBEDDINGS=true
      - LLAMA_ARG_POOLING=mean
      
      # Performance
      - LLAMA_ARG_THREADS=-1
      - LLAMA_ARG_NO_MMAP=false
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s
    networks:
      - mcp_network
  mimir-server:
    build:
      context: .
      dockerfile: Dockerfile
      tags:
        - timothyswt/mimir-server:1.0.0
    image: timothyswt/mimir-server:1.0.0
    container_name: mimir_server
    restart: unless-stopped
    environment:
      # Database Configuration
      - NEO4J_URI=bolt://neo4j:7687
      - NEO4J_USER=neo4j
      - NEO4J_PASSWORD=${NEO4J_PASSWORD:-admin}

      # Server Configuration
      - NODE_ENV=production
      - PORT=3000
      # - NODE_TLS_REJECT_UNAUTHORIZED=${NODE_TLS_REJECT_UNAUTHORIZED:-1}

      # Workspace Configuration
      - WORKSPACE_ROOT=/workspace
      - HOST_WORKSPACE_ROOT=${HOST_WORKSPACE_ROOT:-~/src}  # Pass through from host
      - HOST_HOME=${HOME}  # Host's home directory for expanding ~ in HOST_WORKSPACE_ROOT

      # LLM API Configuration
      - MIMIR_DEFAULT_PROVIDER=${MIMIR_DEFAULT_PROVIDER:-copilot}
      - MIMIR_LLM_API=${MIMIR_LLM_API:-http://copilot-api:4141}
      - MIMIR_LLM_API_PATH=${MIMIR_LLM_API_PATH:-/v1/chat/completions}
      - MIMIR_LLM_API_MODELS_PATH=${MIMIR_LLM_API_MODELS_PATH:-/v1/models}
      - MIMIR_LLM_API_KEY=${MIMIR_LLM_API_KEY:-dummy-key}

      # Provider and Model Configuration (100% dynamic - no config file needed)
      - MIMIR_DEFAULT_MODEL=${MIMIR_DEFAULT_MODEL:-gpt-4.1}

      # Per-Agent Model Configuration (optional overrides)
      - MIMIR_PM_MODEL=${MIMIR_PM_MODEL:-}
      - MIMIR_WORKER_MODEL=${MIMIR_WORKER_MODEL:-}
      - MIMIR_QC_MODEL=${MIMIR_QC_MODEL:-}

      # Context Window Configuration
      - MIMIR_DEFAULT_CONTEXT_WINDOW=${MIMIR_DEFAULT_CONTEXT_WINDOW:-128000}
      - MIMIR_EMBEDDINGS_PROVIDER=${MIMIR_EMBEDDINGS_PROVIDER:-openai}
      - MIMIR_EMBEDDINGS_API=${MIMIR_EMBEDDINGS_API:-http://llama-server:8080}
      - MIMIR_EMBEDDINGS_API_PATH=${MIMIR_EMBEDDINGS_API_PATH:-/v1/embeddings}
      - MIMIR_EMBEDDINGS_API_MODELS_PATH=${MIMIR_EMBEDDINGS_API_MODELS_PATH:-/v1/models}
      - MIMIR_EMBEDDINGS_API_KEY=${MIMIR_EMBEDDINGS_API_KEY:-dummy-key}
      # Embeddings Configuration (llama.cpp uses OpenAI-compatible format)
      - MIMIR_EMBEDDINGS_ENABLED=${MIMIR_EMBEDDINGS_ENABLED:-true}
      - MIMIR_EMBEDDINGS_MODEL=${MIMIR_EMBEDDINGS_MODEL:-mxbai-embed-large}
      - MIMIR_EMBEDDINGS_DIMENSIONS=${MIMIR_EMBEDDINGS_DIMENSIONS:-1024}
      - MIMIR_EMBEDDINGS_CHUNK_SIZE=${MIMIR_EMBEDDINGS_CHUNK_SIZE:-768}
      - MIMIR_EMBEDDINGS_CHUNK_OVERLAP=${MIMIR_EMBEDDINGS_CHUNK_OVERLAP:-10}
      - MIMIR_EMBEDDINGS_DELAY_MS=${MIMIR_EMBEDDINGS_DELAY_MS:-100}
      - MIMIR_EMBEDDINGS_MAX_RETRIES=${MIMIR_EMBEDDINGS_MAX_RETRIES:-3}
      # Image/VL Embeddings Configuration (Vision-Language models)
      # Image Embeddings Control (disabled by default for safety)
      - MIMIR_EMBEDDINGS_IMAGES=${MIMIR_EMBEDDINGS_IMAGES:-true}  # Default: disabled
      - MIMIR_EMBEDDINGS_IMAGES_DESCRIBE_MODE=${MIMIR_EMBEDDINGS_IMAGES_DESCRIBE_MODE:-true}  # Default: VL description mode
      # Qwen2.5-VL Configuration (for llama.cpp server)
      - MIMIR_EMBEDDINGS_VL_PROVIDER=${MIMIR_EMBEDDINGS_VL_PROVIDER:-llama.cpp}
      - MIMIR_EMBEDDINGS_VL_API=${MIMIR_EMBEDDINGS_VL_API:-http://llama-vl-server:8080}
      - MIMIR_EMBEDDINGS_VL_API_PATH=${MIMIR_EMBEDDINGS_VL_API_PATH:-/v1/chat/completions}
      - MIMIR_EMBEDDINGS_VL_API_KEY=${MIMIR_EMBEDDINGS_VL_API_KEY:-dummy-key}
      - MIMIR_EMBEDDINGS_VL_MODEL=${MIMIR_EMBEDDINGS_VL_MODEL:-qwen2.5-vl}
      - MIMIR_EMBEDDINGS_VL_CONTEXT_SIZE=${MIMIR_EMBEDDINGS_VL_CONTEXT_SIZE:-131072}  # 128K tokens (7b/72b)
      - MIMIR_EMBEDDINGS_VL_MAX_TOKENS=${MIMIR_EMBEDDINGS_VL_MAX_TOKENS:-2048}  # Max description length
      - MIMIR_EMBEDDINGS_VL_TEMPERATURE=${MIMIR_EMBEDDINGS_VL_TEMPERATURE:-0.7}
      - MIMIR_EMBEDDINGS_VL_DIMENSIONS=${MIMIR_EMBEDDINGS_VL_DIMENSIONS:-768}  # Falls back to text model dims
      - MIMIR_EMBEDDINGS_VL_TIMEOUT=${MIMIR_EMBEDDINGS_VL_TIMEOUT:-180000}  # 3 minutes (VL processing is slow)
      # Indexing Configuration
      - MIMIR_INDEXING_THREADS=${MIMIR_INDEXING_THREADS:-1}

      # Feature Flags
      - MIMIR_FEATURE_PM_MODEL_SUGGESTIONS=${MIMIR_FEATURE_PM_MODEL_SUGGESTIONS:-true}
      - MIMIR_AUTO_INDEX_DOCS=${MIMIR_AUTO_INDEX_DOCS:-true}

      # Agent Execution Limits
      - MIMIR_AGENT_RECURSION_LIMIT=${MIMIR_AGENT_RECURSION_LIMIT:-100}

      # Security Configuration
      - MIMIR_ENABLE_SECURITY=${MIMIR_ENABLE_SECURITY:-false}
      - MIMIR_DEV_USER_ADMIN=${MIMIR_DEV_USER_ADMIN}
      - MIMIR_DEV_USER_DEVELOPER=${MIMIR_DEV_USER_DEVELOPER}
      - MIMIR_DEV_USER_ANALYST=${MIMIR_DEV_USER_ANALYST}
      - MIMIR_DEV_USER_VIEWER=${MIMIR_DEV_USER_VIEWER}
      - MIMIR_JWT_SECRET=${MIMIR_JWT_SECRET}
      # OAuth Configuration (explicit endpoint URLs - provider-specific)
      - MIMIR_AUTH_PROVIDER=${MIMIR_AUTH_PROVIDER}
      - MIMIR_OAUTH_AUTHORIZATION_URL=${MIMIR_OAUTH_AUTHORIZATION_URL}  # Full authorization endpoint URL
      - MIMIR_OAUTH_TOKEN_URL=${MIMIR_OAUTH_TOKEN_URL}                  # Full token endpoint URL
      - MIMIR_OAUTH_USERINFO_URL=${MIMIR_OAUTH_USERINFO_URL}            # Full userinfo endpoint URL
      - MIMIR_OAUTH_CLIENT_ID=${MIMIR_OAUTH_CLIENT_ID}
      - MIMIR_OAUTH_CLIENT_SECRET=${MIMIR_OAUTH_CLIENT_SECRET}
      - MIMIR_OAUTH_CALLBACK_URL=${MIMIR_OAUTH_CALLBACK_URL}
      - MIMIR_OAUTH_ALLOW_HTTP=${MIMIR_OAUTH_ALLOW_HTTP}

      # Advanced Configuration
      - MIMIR_PARALLEL_EXECUTION=${MIMIR_PARALLEL_EXECUTION:-false}
      - MIMIR_INSTALL_DIR=${MIMIR_INSTALL_DIR:-/app}
      - MIMIR_AGENTS_DIR=${MIMIR_AGENTS_DIR:-/app/docs/agents}
      # Embeddings API Configuration

      # - MIMIR_EMBEDDINGS_PROVIDER=${MIMIR_EMBEDDINGS_PROVIDER:-openai}
      # - MIMIR_EMBEDDINGS_API=${MIMIR_EMBEDDINGS_API:-http://llama-server:8080}
      # - MIMIR_EMBEDDINGS_API_PATH=${MIMIR_EMBEDDINGS_API_PATH:-/v1/embeddings}
      # - MIMIR_EMBEDDINGS_API_MODELS_PATH=${MIMIR_EMBEDDINGS_API_MODELS_PATH:-/v1/models}
      # - MIMIR_EMBEDDINGS_API_KEY=${MIMIR_EMBEDDINGS_API_KEY:-dummy-key}
      # Embeddings Configuration
      # - MIMIR_EMBEDDINGS_ENABLED=${MIMIR_EMBEDDINGS_ENABLED:-true}
      # - MIMIR_EMBEDDINGS_MODEL=${MIMIR_EMBEDDINGS_MODEL:-bge-m3}
      # - MIMIR_EMBEDDINGS_DIMENSIONS=${MIMIR_EMBEDDINGS_DIMENSIONS:-1024}
      # - MIMIR_EMBEDDINGS_CHUNK_SIZE=${MIMIR_EMBEDDINGS_CHUNK_SIZE:-768}
      # - MIMIR_EMBEDDINGS_CHUNK_OVERLAP=${MIMIR_EMBEDDINGS_CHUNK_OVERLAP:-100}
      # - MIMIR_EMBEDDINGS_DELAY_MS=${MIMIR_EMBEDDINGS_DELAY_MS:-0}
      # - MIMIR_EMBEDDINGS_MAX_RETRIES=${MIMIR_EMBEDDINGS_MAX_RETRIES:-3}


      # PCTX Integration (Code Mode for 90-98% token reduction)
      - PCTX_URL=${PCTX_URL:-http://host.docker.internal:8080}
      - PCTX_ENABLED=${PCTX_ENABLED:-false}

    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ${HOST_WORKSPACE_ROOT:-~/src}:${WORKSPACE_ROOT:-/workspace}
    ports:
      - "9042:3000"
    healthcheck:
      test: ["CMD", "node", "-e", "require('http').get('http://localhost:3000/health', (res) => process.exit(res.statusCode === 200 ? 0 : 1)).on('error', () => process.exit(1))"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    depends_on:
      neo4j:
        condition: service_healthy
      copilot-api:
        condition: service_healthy
      llama-server:
        condition: service_healthy
      llama-vl-server:
        condition: service_healthy
    networks:
      - mcp_network

networks:
  mcp_network:
    driver: bridge