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Multiagent Parallel

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

Chat trigger trigger★★☆☆☆ complexityAI-powered7 nodesChat TriggerAgentOpenAI Chat
AI & RAG Trigger: Chat trigger Nodes: 7 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.

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 →

Download .json
{
  "name": "Multiagent_Parallel",
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.4,
      "position": [
        -352,
        -112
      ],
      "id": "8e1a5b29-6284-4bd3-a3f7-a5d38c7a6544",
      "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\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": [
        -176,
        -112
      ],
      "id": "9e33e4de-313c-421e-9dec-80b335b1d06d",
      "name": "Flight Recommendation Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        -224,
        320
      ],
      "id": "f11e7d1d-9709-47c8-af34-3f3c2bc66e38",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "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\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": [
        -80,
        112
      ],
      "id": "4167bcc7-baa5-4eb2-9a9a-9e5ad534d41e",
      "name": "Hotel Recommedation Agent"
    },
    {
      "parameters": {
        "options": {
          "systemMessage": "You are a Tourist Place Recommendation Agent.\n\nYour job is to:\n- recommend famous tourist attractions\n- suggest places to visit\n- return short travel recommendations\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": [
        320,
        16
      ],
      "id": "2c8114f2-545a-437e-bde9-5e8a200ba003",
      "name": "Tourist Place Recommendation Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-5-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        192,
        224
      ],
      "id": "3b1de922-a666-4db8-83b1-f04a051b05d5",
      "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": [
        -320,
        96
      ],
      "id": "65d0a986-8e23-461a-8c9e-d9af984b7b71",
      "name": "OpenAI Chat Model2",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "Flight Recommendation Agent",
            "type": "main",
            "index": 0
          },
          {
            "node": "Tourist Place Recommendation Agent",
            "type": "main",
            "index": 0
          },
          {
            "node": "Hotel Recommedation Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Hotel Recommedation Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Tourist Place Recommendation Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Flight Recommendation Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate"
  },
  "versionId": "686dff04-3ece-4d21-a945-2d283b9711cd",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "FQJaTvM8wU58yXLl",
  "tags": []
}

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About this workflow

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

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

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