n8n-workflows/workflows/1955_workflow_1955.json

{
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  "nodes": [
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 432,
        "height": 397,
        "content": "## Self-coded LLM Chain Node"
      },
      "typeVersion": 1
    },
    {
      "id": "93e3641b-d365-456d-b939-11fd92da8155",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
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        "content": "## Self-coded Tool Node"
      },
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    {
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      "name": "Set2",
      "type": "n8n-nodes-base.set",
      "position": [
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        "assignments": {
          "assignments": [
            {
              "id": "6c3d9c41-58b0-4d0d-8892-0b1a96428da3",
              "name": "chatInput",
              "type": "string",
              "value": "Tell me a joke"
            }
          ]
        }
      },
      "typeVersion": 3.4
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    {
      "id": "b78b6d50-53be-43a1-889c-773726443bfb",
      "name": "Custom - LLM Chain Node1",
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      "position": [
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      ],
      "parameters": {
        "code": {
          "execute": {
            "code": "const { PromptTemplate } = require('@langchain/core/prompts');\n\nconst query = $input.item.json.chatInput;\nconst prompt = PromptTemplate.fromTemplate(query);\nconst llm = await this.getInputConnectionData('ai_languageModel', 0);\nlet chain = prompt.pipe(llm);\nconst output = await chain.invoke();\nreturn [ {json: { output } } ];"
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      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -420,
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      ],
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        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
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        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
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    {
      "id": "e64b5510-efd9-4a8b-aa3c-4312219cb2f0",
      "name": "Set3",
      "type": "n8n-nodes-base.set",
      "position": [
        -820,
        -440
      ],
      "parameters": {
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        "assignments": {
          "assignments": [
            {
              "id": "6c3d9c41-58b0-4d0d-8892-0b1a96428da3",
              "name": "chatInput",
              "type": "string",
              "value": "What year was Einstein born?"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "77f8bff3-8868-43ca-8739-7cc16d15dd80",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -440,
        -340
      ],
      "parameters": {
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      },
      "typeVersion": 1.8
    },
    {
      "id": "d6e943df-ee88-4d0b-bca4-68b9f249dd00",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -460,
        -120
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "a4b19037-399a-4d0b-abe0-378d8d81c536",
      "name": "Custom - Wikipedia1",
      "type": "@n8n/n8n-nodes-langchain.toolCode",
      "position": [
        -180,
        -20
      ],
      "parameters": {
        "name": "wikipedia_tool",
        "jsCode": "console.log('Custom Wikipedia Node runs');\nconst { WikipediaQueryRun } = require(\"@n8n/n8n-nodes-langchain/node_modules/@langchain/community/tools/wikipedia_query_run.cjs\");\n\nconst tool = new WikipediaQueryRun({\n  topKResults: 3,\n  maxDocContentLength: 4000,\n});\n\nreturn await tool.invoke(query);",
        "description": "Call this tool to research a topic on wikipedia."
      },
      "typeVersion": 1.1
    }
  ],
  "pinData": {},
  "connections": {
    "Set2": {
      "main": [
        [
          {
            "node": "Custom - LLM Chain Node1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set3": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
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            "type": "ai_languageModel",
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    "OpenAI Chat Model1": {
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    "When clicking \"Execute Workflow\"": {
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          {
            "node": "Set3",
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            "node": "Set2",
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      ]
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}