{
  manifest_version: "0.1.0",

  // Config values the deployer/submission UI can provide.
  // We keep only the ones that are required for the competition environment.
  config_schema: {
    type: "object",
    properties: {
      nebius_api_key: { type: "string", secret: true },
      nebius_base_url: { 
        type: "string", 
        default: "https://api.studio.nebius.ai/v1/" 
      },
      tavily_api_key: { type: "string", secret: true }
    },
    required: ["nebius_api_key"],
    additionalProperties: false
  },

  // External services this agent may talk to inside an Amber scenario.
  slots: {
    proxy: { kind: "a2a", optional: true }
  },

  // How to run your agent container.
  program: {
    image: "ghcr.io/krishna-dhulipalla/corelink-ai:v1.0.0",
    entrypoint: "uv run python src/server.py --host 0.0.0.0 --port 9009",

    // Map config into runtime env vars your app actually reads.
    env: {
      NEBIUS_API_KEY: "${config.nebius_api_key}",
      NEBIUS_BASE_URL: "${config.nebius_base_url}",
      TAVILY_API_KEY: "${config.tavily_api_key}",
      COMPETITION_MODE: "1",
      BENCHMARK_NAME: "officeqa",
      BENCHMARK_STATELESS: "1"
    },

    network: {
      endpoints: [
        { name: "a2a_endpoint", port: 9009 }
      ]
    }
  },

  // What capability this container provides.
  provides: {
    a2a: { kind: "a2a", endpoint: "a2a_endpoint" }
  },

  // What the scenario can reference from this manifest.
  exports: {
    a2a: "a2a"
  }
}