prodigy 0.4.4

Turn ad-hoc Claude sessions into reproducible development pipelines with parallel AI agents
Documentation 
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# Example workflow demonstrating environment variable and working directory control

# Global environment configuration
env:
  # Static environment variables
  NODE_ENV: production
  API_URL: https://api.example.com

  # Dynamic environment variable (computed from command)
  WORKERS:
    command: "nproc 2>/dev/null || echo 4"
    cache: true

  # Conditional environment variable
  DEPLOY_ENV:
    condition: "${branch} == 'main'"
    when_true: "production"
    when_false: "staging"

# Secret environment variables (masked in logs)
secrets:
  # Reference to environment variable
  API_KEY: "${env:SECRET_API_KEY}"

# Environment files to load
env_files:
  - .env.production

# Environment profiles for different contexts
profiles:
  development:
    NODE_ENV: development
    API_URL: http://localhost:3000
    DEBUG: "true"

  testing:
    NODE_ENV: test
    API_URL: http://localhost:4000
    COVERAGE: "true"

# Workflow steps demonstrating environment features
commands:
  - name: "Show environment"
    shell: "echo NODE_ENV=$NODE_ENV API_URL=$API_URL WORKERS=$WORKERS"
    capture_output: true

  - name: "Build frontend"
    shell: "echo 'Building frontend with NODE_ENV='$NODE_ENV"
    env:
      BUILD_TARGET: production
      OPTIMIZE: "true"
    working_dir: ./frontend

  - name: "Run tests"
    shell: "echo 'Running tests in test environment'"
    env:
      PYTHONPATH: "./src:./tests"
      TEST_ENV: "true"
    working_dir: ./backend
    temporary: true  # Environment restored after this step

  - name: "Deploy application"
    shell: "echo 'Deploying to '$DEPLOY_ENV' environment'"
    working_dir: "${env.DEPLOY_DIR}"

  - name: "Cleanup"
    shell: "echo 'Cleaning up temporary files'"
    clear_env: true  # Clear all environment variables except step-specific ones
    env:
      CLEANUP_MODE: "full"