services:
  core-ai:
    build:
      context: ../services/core-ai
      dockerfile: Dockerfile
    container_name: core-ai
    restart: unless-stopped
    ports:
      - "8086:8086" # Expose the Core AI service port
    volumes:
      - ../services/core-ai:/app  # Mount code directory for development
    environment:
      - HOST=0.0.0.0
      - PORT=8086
      - OLLAMA_BASE_URL=http://ollama:11434 # Ensure it can find Ollama
      - CORE_API_BASE_URL=http://core-api:8083/v1 # Ensure it can find Core API
      - AGENT_MODEL=mistral-nemo:latest # Better tool calling support
      - SYSTEM_PROMPT_VARIANT=minimal_agent # Match prompts.py definition
      # Memory system configuration
      - MEMORY_ENABLED=true
      - MEMORY_TIER1_SIZE=10  # Keep last 10 turns in RAM
      - QDRANT_URL=http://qdrant:6333  # Connect to existing Qdrant service
      - QDRANT_COLLECTION_PREFIX=core_ai_user  # Collection naming: core_ai_user_{user_id}
      - EMBEDDING_MODEL=nomic-embed-text  # Match Open WebUI embedding model
      - EMBEDDING_DIMENSION=768  # nomic-embed-text dimension
      - DEFAULT_USER_ID=llmdefault_at_schweitz_net  # Default user until auth integration
    networks:
      - docker-dataplane

networks:
  docker-dataplane:
    external: true