{
  name: "OfficeQA Purple Agent",
  version: "1.0.0",
  description: "Purple agent (competitor) for the OfficeQA benchmark on AgentBeats. Evaluates end-to-end grounded reasoning over U.S. Treasury Bulletins through document retrieval, value extraction from tables and figures, and multi-step quantitative computations.",
  author: "witold",
  docker: {
    image: "ghcr.io/wczubal1/officeqa-purple-agent:latest",
    entrypoint: ["python", "-m", "src.agent.main"]
  },
  inputs: {
    OPENAI_API_KEY: {
      type: "secret",
      description: "OpenAI API key for accessing GPT models"
    },
    AGENT_LOG_LEVEL: {
      type: "string",
      description: "Logging level (DEBUG, INFO, WARNING, ERROR)",
      default: "INFO"
    }
  },
  a2aExport: {
    protocol: "A2A",
    version: "1.0.0",
    interface: {
      method: "stdio",
      format: "json"
    },
    inputSchema: {
      type: "object",
      properties: {
        tasks: {
          type: "array",
          items: {
            type: "object",
            properties: {
              id: { type: "string" },
              question: { type: "string" },
              documents: { type: "array", items: { type: "string" } },
              type: { type: "string" }
            },
            required: ["id", "question"]
          }
        }
      },
      required: ["tasks"]
    },
    outputSchema: {
      type: "object",
      properties: {
        status: { type: "string" },
        participant_id: { type: "string" },
        results: {
          type: "array",
          items: {
            type: "object",
            properties: {
              task_id: { type: "string" },
              answer: { type: "string" },
              confidence: { type: "number" },
              reasoning: { type: "string" }
            }
          }
        }
      }
    }
  },
  capabilities: {
    document_retrieval: true,
    value_extraction: true,
    quantitative_reasoning: true,
    multi_step_computation: true
  },
  benchmark: "OfficeQA",
  tasks: 246
}