Sequential Multiagent

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "name": "Sequential_multiagent",
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.4,
      "position": [
        -336,
        -144
      ],
      "id": "729ca7b2-baa0-4d1d-968c-dfdf82db9eff",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "options": {
          "systemMessage": "You are a Flight Recommendation Agent.\n\nYour job is to:\n- recommend one suitable flight\n- suggest a budget-friendly option\n- return short flight details that can be used by the next agent\n\nKeep the response:\n- short\n- clean\n- professional\n\nDo not explain reasoning."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        -128,
        -144
      ],
      "id": "a9a3d8ff-f827-42ad-8150-6cd7972dbb30",
      "name": "Flight Recommendation Agent"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.output }}",
        "options": {
          "systemMessage": "You are a Hotel Recommendation Agent.\n\nYour job is to:\n- recommend one suitable hotel\n- suggest a budget-friendly stay\n- return short hotel details along with the received flight details for the next agent\n\nKeep the response:\n- short\n- clean\n- professional\n\nDo not explain reasoning."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        192,
        -144
      ],
      "id": "d2b899b6-72de-43cd-9ab4-aa4ddd456b23",
      "name": "Hotel Recommendation Agent"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.output }}",
        "options": {
          "systemMessage": "You are a Travel Summary Agent.\n\nYour job is to:\n- combine the flight recommendation\n- combine the hotel recommendation\n- and generate one final travel summary.\n\nThe final response should contain:\n- recommended flight\n- recommended hotel\n- short travel summary\n\nKeep the response:\n- very short\n- professional\n- easy to read\n\nDo not ask follow-up questions.\nDo not explain reasoning."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        528,
        -144
      ],
      "id": "bab78f6f-1991-4d59-ae69-5e6d02722054",
      "name": "Travel Summary Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        -160,
        96
      ],
      "id": "67778aa1-4732-4ba8-8166-b0d61e05eeb8",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        176,
        96
      ],
      "id": "d467e3e7-f1e7-4aed-b27d-4fcc47414f05",
      "name": "OpenAI Chat Model1",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        496,
        80
      ],
      "id": "34dda807-fc3e-4e63-ab65-1fff98e5ee96",
      "name": "OpenAI Chat Model2",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "Flight Recommendation Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Flight Recommendation Agent": {
      "main": [
        [
          {
            "node": "Hotel Recommendation Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Hotel Recommendation Agent": {
      "main": [
        [
          {
            "node": "Travel Summary Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Flight Recommendation Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Hotel Recommendation Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Travel Summary Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate"
  },
  "versionId": "d5b90eae-05ca-4bb2-8a9d-3d3892e93557",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "ZwAWKKJtDVPL7w7j",
  "tags": []
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• openAiApi

About this workflow

Sequential_multiagent. Uses chatTrigger, agent, lmChatOpenAi. Chat trigger; 7 nodes.

Source: https://github.com/DataThinkers/N8N-WORKFLOWS-JSON/blob/main/Sequential_multiagent.json — original creator credit. Request a take-down →

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