copilotkit__copilotkit/showcase/docker-compose.local.yml

# Run the Railway-equivalent Docker image for every showcase package locally.
# Ports come from shared/local-ports.json; internal port is always 10000 (Railway convention).

x-integration-defaults: &integration-defaults
  env_file: .env
  environment:
    - OPENAI_API_KEY=${OPENAI_API_KEY:-sk-mock}
    - OPENAI_BASE_URL=http://aimock:4010/v1
    - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-sk-mock-anthropic}
    - ANTHROPIC_BASE_URL=http://aimock:4010
    - GOOGLE_API_KEY=${GOOGLE_API_KEY:-fake-gemini-key}
    - GOOGLE_GEMINI_BASE_URL=${GOOGLE_GEMINI_BASE_URL-http://aimock:4010}
    - SPRING_AI_OPENAI_BASE_URL=http://aimock:4010
    - AIMOCK_URL=http://aimock:4010
    - GitHubToken=${GitHubToken:-gh-mock-local-dev}
  depends_on:
    aimock:
      condition: service_healthy
  restart: unless-stopped
  healthcheck:
    test: ["CMD", "curl", "-f", "http://localhost:10000/api/health"]
    interval: 5s
    timeout: 3s
    retries: 5
    start_period: 15s

services:
  aimock:
    # Local aimock so the 17 integration containers can hit a stable LLM mock
    # on the compose network at http://aimock:4010 instead of the prod Railway
    # aimock (which can OOM) or direct-to-OpenAI (which costs).
    #
    # Local vs. production parity: local uses volume mounts (below) so fixture
    # edits take effect on container restart without rebuilding. Production
    # bakes fixtures into the image via showcase/aimock/Dockerfile. When adding
    # a new fixture file, add it to BOTH the volumes list here AND the COPY
    # lines in showcase/aimock/Dockerfile.
    image: ghcr.io/copilotkit/aimock:latest
    container_name: showcase-aimock
    env_file: .env
    ports:
      - "4010:4010"
    profiles: ["infra", "all"]
    restart: unless-stopped
    volumes:
      - ./aimock/d5-all.json:/showcase-fixtures/d5-all.json:ro
      - ./aimock/smoke.json:/showcase-fixtures/smoke.json:ro
      - ./aimock/feature-parity.json:/showcase-fixtures/feature-parity.json:ro
    # `--proxy-only` + `--provider-openai` mirrors the Railway aimock setup:
    # matched fixtures short-circuit deterministically; unmatched requests
    # fall through to real OpenAI (using OPENAI_API_KEY from .env). Without
    # these flags aimock returns 404 on no-match, the LangGraph SDK
    # interprets that as `NotFoundError`, and the demo crashes with
    # "Failed to fetch" instead of seeing a real model response.
    command: [
        "--port",
        "4010",
        "--host",
        "0.0.0.0",
        "--proxy-only",
        "--provider-openai",
        "https://api.openai.com",
        # Natural-feel streaming so demos look like a real LLM rather than
        # an instant dump. 8 chars/chunk × 60 ms = ~130 chars/sec ≈ 30-40
        # tokens/sec, the lower end of Gemini 2.5-flash's real streaming
        # rate. Total wall-clock for a 500-char response is ~4s, well
        # inside the 30s default test timeout. Tune here if specific
        # demos feel sluggish; CI doc-tests intentionally don't slow.
        "--chunk-size",
        "8",
        "--latency",
        "60",
        "--fixtures",
        "/showcase-fixtures/d5-all.json",
        "--fixtures",
        "/showcase-fixtures/smoke.json",
        "--fixtures",
        "/showcase-fixtures/feature-parity.json",
      ]
    healthcheck:
      test:
        [
          "CMD",
          "node",
          "-e",
          "fetch('http://localhost:4010/health').then(r=>{if(!r.ok)process.exit(1)}).catch(()=>process.exit(1))",
        ]
      interval: 5s
      timeout: 3s
      retries: 5
      start_period: 10s

  pocketbase:
    build: ./pocketbase
    image: showcase-pocketbase:local
    container_name: showcase-pocketbase
    environment:
      - POCKETBASE_SUPERUSER_EMAIL=admin@localhost
      - POCKETBASE_SUPERUSER_PASSWORD=showcase-local-dev
    ports:
      - "8090:8090"
    volumes:
      - showcase-pb-data:/pb_data
    profiles: ["infra", "all"]
    restart: unless-stopped
    healthcheck:
      test:
        ["CMD", "wget", "-q", "--spider", "http://localhost:8090/api/health"]
      interval: 5s
      timeout: 3s
      retries: 5
      start_period: 10s

  dashboard:
    build:
      context: ../
      dockerfile: showcase/shell-dashboard/Dockerfile
      args:
        # PocketBase URL the browser hits at runtime — pinned to the host
        # binding so the user's browser (not the container) can resolve it.
        NEXT_PUBLIC_POCKETBASE_URL: http://localhost:8090
        # Showcase shell URL the dashboard links to for Demo / Code /
        # docs-shell jumps. Points at the langgraph-python integration's
        # host port for now (no shared "shell" service in the local stack).
        NEXT_PUBLIC_SHELL_URL: http://localhost:3100
        # /api/ops/* rewrites here. There's no harness HTTP server in the
        # local stack, so this points back at the dashboard itself; the
        # rewrites will 404 but the matrix view reads from PocketBase
        # directly and doesn't depend on /api/ops.
        OPS_BASE_URL: http://localhost:3200
    image: showcase-dashboard:local
    container_name: showcase-dashboard
    environment:
      - POCKETBASE_URL=http://pocketbase:8090
      - SHOWCASE_LOCAL=1
    ports:
      - "3200:10000"
    depends_on:
      pocketbase:
        condition: service_healthy
    profiles: ["infra", "all"]
    restart: unless-stopped
    healthcheck:
      test:
        [
          "CMD",
          "node",
          "-e",
          "fetch('http://localhost:10000/').then(r=>{if(!r.ok)process.exit(1)}).catch(()=>process.exit(1))",
        ]
      interval: 5s
      timeout: 3s
      retries: 5
      start_period: 10s

  langgraph-python:
    <<: *integration-defaults
    build: ./integrations/langgraph-python
    image: showcase-langgraph-python:local
    container_name: showcase-langgraph-python
    ports:
      - "3100:10000"
    profiles: ["langgraph-python", "all"]
    volumes:
      - ./integrations/langgraph-python/src:/app/src

  langgraph-typescript:
    <<: *integration-defaults
    build: ./integrations/langgraph-typescript
    image: showcase-langgraph-typescript:local
    container_name: showcase-langgraph-typescript
    ports:
      - "3101:10000"
    profiles: ["langgraph-typescript", "all"]
    volumes:
      - ./integrations/langgraph-typescript/src:/app/src
      # Preserve the agent's node_modules from the Docker image.  The bind
      # mount above overlays the host's src/ (no node_modules) on top of the
      # container's /app/src, which clobbers src/agent/node_modules installed
      # during the build.  This anonymous volume pins the image's copy so
      # `node --import tsx` can resolve tsx at runtime.
      - /app/src/agent/node_modules

  langgraph-fastapi:
    <<: *integration-defaults
    build: ./integrations/langgraph-fastapi
    image: showcase-langgraph-fastapi:local
    container_name: showcase-langgraph-fastapi
    ports:
      - "3102:10000"
    profiles: ["langgraph-fastapi", "all"]
    volumes:
      - ./integrations/langgraph-fastapi/src:/app/src

  google-adk:
    <<: *integration-defaults
    build: ./integrations/google-adk
    image: showcase-google-adk:local
    container_name: showcase-google-adk
    ports:
      - "3103:10000"
    profiles: ["google-adk", "all"]
    volumes:
      - ./integrations/google-adk/src:/app/src

  mastra:
    <<: *integration-defaults
    build: ./integrations/mastra
    image: showcase-mastra:local
    container_name: showcase-mastra
    ports:
      - "3104:10000"
    profiles: ["mastra", "all"]
    volumes:
      - ./integrations/mastra/src:/app/src

  crewai-crews:
    <<: *integration-defaults
    build: ./integrations/crewai-crews
    image: showcase-crewai-crews:local
    container_name: showcase-crewai-crews
    ports:
      - "3105:10000"
    profiles: ["crewai-crews", "all"]
    volumes:
      - ./integrations/crewai-crews/src:/app/src

  pydantic-ai:
    <<: *integration-defaults
    build: ./integrations/pydantic-ai
    image: showcase-pydantic-ai:local
    container_name: showcase-pydantic-ai
    ports:
      - "3106:10000"
    profiles: ["pydantic-ai", "all"]
    volumes:
      - ./integrations/pydantic-ai/src:/app/src

  claude-sdk-python:
    <<: *integration-defaults
    build: ./integrations/claude-sdk-python
    image: showcase-claude-sdk-python:local
    container_name: showcase-claude-sdk-python
    ports:
      - "3107:10000"
    profiles: ["claude-sdk-python", "all"]
    volumes:
      - ./integrations/claude-sdk-python/src:/app/src

  claude-sdk-typescript:
    <<: *integration-defaults
    build: ./integrations/claude-sdk-typescript
    image: showcase-claude-sdk-typescript:local
    container_name: showcase-claude-sdk-typescript
    ports:
      - "3108:10000"
    profiles: ["claude-sdk-typescript", "all"]
    volumes:
      - ./integrations/claude-sdk-typescript/src:/app/src

  agno:
    <<: *integration-defaults
    build: ./integrations/agno
    image: showcase-agno:local
    container_name: showcase-agno
    ports:
      - "3109:10000"
    profiles: ["agno", "all"]
    volumes:
      - ./integrations/agno/src:/app/src

  ag2:
    <<: *integration-defaults
    build: ./integrations/ag2
    image: showcase-ag2:local
    container_name: showcase-ag2
    ports:
      - "3110:10000"
    profiles: ["ag2", "all"]
    volumes:
      - ./integrations/ag2/src:/app/src

  llamaindex:
    <<: *integration-defaults
    build: ./integrations/llamaindex
    image: showcase-llamaindex:local
    container_name: showcase-llamaindex
    ports:
      - "3111:10000"
    profiles: ["llamaindex", "all"]
    volumes:
      - ./integrations/llamaindex/src:/app/src

  strands:
    <<: *integration-defaults
    build: ./integrations/strands
    image: showcase-strands:local
    container_name: showcase-strands
    ports:
      - "3112:10000"
    profiles: ["strands", "all"]
    volumes:
      - ./integrations/strands/src:/app/src

  langroid:
    <<: *integration-defaults
    build: ./integrations/langroid
    image: showcase-langroid:local
    container_name: showcase-langroid
    ports:
      - "3113:10000"
    profiles: ["langroid", "all"]
    volumes:
      - ./integrations/langroid/src:/app/src

  ms-agent-python:
    <<: *integration-defaults
    build: ./integrations/ms-agent-python
    image: showcase-ms-agent-python:local
    container_name: showcase-ms-agent-python
    ports:
      - "3114:10000"
    profiles: ["ms-agent-python", "all"]
    volumes:
      - ./integrations/ms-agent-python/src:/app/src

  ms-agent-dotnet:
    <<: *integration-defaults
    build: ./integrations/ms-agent-dotnet
    image: showcase-ms-agent-dotnet:local
    container_name: showcase-ms-agent-dotnet
    ports:
      - "3115:10000"
    profiles: ["ms-agent-dotnet", "all"]
    volumes:
      - ./integrations/ms-agent-dotnet/src:/app/src

  spring-ai:
    <<: *integration-defaults
    build: ./integrations/spring-ai
    image: showcase-spring-ai:local
    container_name: showcase-spring-ai
    ports:
      - "3116:10000"
    profiles: ["spring-ai", "all"]
    volumes:
      - ./integrations/spring-ai/src:/app/src

  built-in-agent:
    <<: *integration-defaults
    build: ./integrations/built-in-agent
    image: showcase-built-in-agent:local
    container_name: showcase-built-in-agent
    ports:
      - "3117:10000"
    profiles: ["built-in-agent", "all"]
    volumes:
      - ./integrations/built-in-agent/src:/app/src

volumes:
  showcase-pb-data: