opcode/examples/multi-source-research/workflow.json at main · rendis/opcode · GitHub

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{
  "name": "multi-source-research",
  "description": "Fetch data from three sources in parallel, let an agent pick the best one, then log the selection.",
  "category": "research",
  "features": ["parallel", "http", "reasoning", "workflow.log"],
  "input_schema": {
    "type": "object",
    "required": ["source_a_url", "source_b_url", "source_c_url"],
    "properties": {
      "source_a_url": {
        "type": "string",
        "description": "URL for source A"
      },
      "source_b_url": {
        "type": "string",
        "description": "URL for source B"
      },
      "source_c_url": {
        "type": "string",
        "description": "URL for source C"
      }
    }
  },
  "definition": {
    "timeout": "5m",
    "on_timeout": "fail",
    "steps": [
      {
        "id": "fetch-a",
        "type": "action",
        "action": "http.get",
        "params": {
          "url": "${{inputs.source_a_url}}"
        },
        "timeout": "30s",
        "retry": {
          "max": 2,
          "backoff": "linear",
          "delay": "1s"
        }
      },
      {
        "id": "fetch-b",
        "type": "action",
        "action": "http.get",
        "params": {
          "url": "${{inputs.source_b_url}}"
        },
        "timeout": "30s",
        "retry": {
          "max": 2,
          "backoff": "linear",
          "delay": "1s"
        }
      },
      {
        "id": "fetch-c",
        "type": "action",
        "action": "http.get",
        "params": {
          "url": "${{inputs.source_c_url}}"
        },
        "timeout": "30s",
        "retry": {
          "max": 2,
          "backoff": "linear",
          "delay": "1s"
        }
      },
      {
        "id": "pick-best",
        "type": "reasoning",
        "depends_on": ["fetch-a", "fetch-b", "fetch-c"],
        "config": {
          "prompt_context": "Three data sources have been fetched. Review the responses and select which source has the most relevant, accurate, and complete data for the research task.",
          "options": [
            { "id": "source_a", "description": "Source A has the best data" },
            { "id": "source_b", "description": "Source B has the best data" },
            { "id": "source_c", "description": "Source C has the best data" }
          ],
          "data_inject": {
            "source_a_data": "steps['fetch-a']",
            "source_b_data": "steps['fetch-b']",
            "source_c_data": "steps['fetch-c']"
          },
          "timeout": "1h",
          "fallback": "source_a"
        }
      },
      {
        "id": "log-selection",
        "type": "action",
        "action": "workflow.log",
        "depends_on": ["pick-best"],
        "params": {
          "message": "Best source selected by agent review"
        }
      }
    ]
  }
}