ragflow/agent/templates/multi_step_workflow_example.json

{
  "description": "Multi-Step Workflow - Sentiment Analysis → Issues → Action Items",
  "graph": {
    "nodes": [
      {
        "id": "begin",
        "data": {
          "name": "Start",
          "component_name": "Begin",
          "x": 100,
          "y": 200
        }
      },
      {
        "id": "agent_invoke_sentiment",
        "data": {
          "name": "Sentiment Analysis",
          "component_name": "AgentInvoke",
          "x": 300,
          "y": 200
        }
      },
      {
        "id": "agent_invoke_issues",
        "data": {
          "name": "Extract Key Issues",
          "component_name": "AgentInvoke",
          "x": 500,
          "y": 200
        }
      },
      {
        "id": "agent_invoke_actions",
        "data": {
          "name": "Generate Action Items",
          "component_name": "AgentInvoke",
          "x": 700,
          "y": 200
        }
      },
      {
        "id": "message_0",
        "data": {
          "name": "Final Report",
          "component_name": "Message",
          "x": 900,
          "y": 200
        }
      }
    ],
    "edges": [
      {
        "source": "begin",
        "target": "agent_invoke_sentiment"
      },
      {
        "source": "agent_invoke_sentiment",
        "target": "agent_invoke_issues"
      },
      {
        "source": "agent_invoke_issues",
        "target": "agent_invoke_actions"
      },
      {
        "source": "agent_invoke_actions",
        "target": "message_0"
      }
    ]
  },
  "components": {
    "begin": {
      "obj": {
        "component_name": "Begin",
        "params": {
          "prologue": "I'll analyze customer feedback and generate actionable insights for you.",
          "mode": "workflow"
        }
      },
      "downstream": ["agent_invoke_sentiment"],
      "upstream": []
    },
    "agent_invoke_sentiment": {
      "obj": {
        "component_name": "AgentInvoke",
        "params": {
          "agent_id": "YOUR_SENTIMENT_ANALYSIS_AGENT_ID",
          "agent_name": "Sentiment Analysis Agent",
          "query": "{sys.query}",
          "inputs": {
            "analysis_depth": "detailed",
            "include_emotions": true
          },
          "timeout_seconds": 120,
          "create_new_session": true
        }
      },
      "downstream": ["agent_invoke_issues"],
      "upstream": ["begin"]
    },
    "agent_invoke_issues": {
      "obj": {
        "component_name": "AgentInvoke",
        "params": {
          "agent_id": "YOUR_ISSUE_EXTRACTION_AGENT_ID",
          "agent_name": "Key Issues Extraction Agent",
          "query": "Based on the sentiment analysis, extract the top 5 key issues:\n\n{agent_invoke_sentiment@answer}",
          "inputs": {
            "max_issues": 5,
            "prioritize": "negative_sentiment"
          },
          "timeout_seconds": 120,
          "create_new_session": true
        }
      },
      "downstream": ["agent_invoke_actions"],
      "upstream": ["agent_invoke_sentiment"]
    },
    "agent_invoke_actions": {
      "obj": {
        "component_name": "AgentInvoke",
        "params": {
          "agent_id": "YOUR_ACTION_ITEMS_AGENT_ID",
          "agent_name": "Action Items Generator Agent",
          "query": "Generate actionable recommendations for these issues:\n\n{agent_invoke_issues@answer}",
          "inputs": {
            "format": "actionable",
            "include_timeline": true,
            "include_ownership": true
          },
          "timeout_seconds": 150,
          "create_new_session": true
        }
      },
      "downstream": ["message_0"],
      "upstream": ["agent_invoke_issues"]
    },
    "message_0": {
      "obj": {
        "component_name": "Message",
        "params": {
          "content": "# Customer Feedback Analysis Report\n\n## Sentiment Analysis\n{agent_invoke_sentiment@answer}\n\n## Key Issues Identified\n{agent_invoke_issues@answer}\n\n## Recommended Actions\n{agent_invoke_actions@answer}"
        }
      },
      "downstream": [],
      "upstream": ["agent_invoke_actions"]
    }
  },
  "history": [],
  "path": ["begin"],
  "retrieval": {
    "chunks": [],
    "doc_aggs": []
  },
  "globals": {
    "sys.query": "",
    "sys.user_id": "",
    "sys.conversation_turns": 0,
    "sys.files": []
  }
}