compose-for-agents/a2a/compose.dmr.yaml at main · docker/compose-for-agents · GitHub

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services:
  # Auditor Agent coordinates the entire fact-checking workflow
  auditor-agent-a2a:
    build:
      target: auditor-agent
    ports:
      - 8080:8080
    environment:
      - CRITIC_AGENT_URL=http://critic-agent-a2a:8001
      - REVISER_AGENT_URL=http://reviser-agent-a2a:8001
    depends_on:
      - critic-agent-a2a
      - reviser-agent-a2a
    models:
      gemma3:
        endpoint_var: MODEL_RUNNER_URL
        model_var: MODEL_RUNNER_MODEL

  critic-agent-a2a:
    build:
      target: critic-agent
    environment:
      - MCPGATEWAY_ENDPOINT=http://mcp-gateway:8811/sse
    depends_on:
      - mcp-gateway
    models:
      gemma3:
        # specify which environment variables to inject into the container
        endpoint_var: MODEL_RUNNER_URL
        model_var: MODEL_RUNNER_MODEL

  reviser-agent-a2a:
    build:
      target: reviser-agent
    environment:
      - MCPGATEWAY_ENDPOINT=http://mcp-gateway:8811/sse
    depends_on:
      - mcp-gateway
    models:
      gemma3:
        endpoint_var: MODEL_RUNNER_URL
        model_var: MODEL_RUNNER_MODEL

  mcp-gateway:
    # mcp-gateway secures your MCP servers
    image: docker/mcp-gateway:latest
    use_api_socket: true
    command:
      - --transport=sse
      - --servers=duckduckgo
      # add an MCP interceptor to log the responses
      - --interceptor
      - after:exec:echo RESPONSE=$(cat) >&2

models:
  # declare LLM models to pull and use
  gemma3:
    model: ai/gemma3:4B-Q4_0
    context_size: 10000  # 3.5 GB VRAM
    # context_size: 131000 # 7.6 GB VRAM