{
  "nodes": [
    {
      "id": "5a421900-20d7-4d64-a064-3211c3338676",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -520,
        -820
      ],
      "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",
      "position": [
        -1060,
        -740
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "235e436f-353f-4bb4-a619-35ebb17011d0",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -300,
        -100
      ],
      "parameters": {
        "width": 320.2172923777021,
        "height": 231,
        "content": "## Self-coded Tool Node"
      },
      "typeVersion": 1
    },
    {
      "id": "4265a9d3-7c7e-4511-9a41-fa5a940f8869",
      "name": "Set2",
      "type": "n8n-nodes-base.set",
      "position": [
        -820,
        -740
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6c3d9c41-58b0-4d0d-8892-0b1a96428da3",
              "name": "chatInput",
              "type": "string",
              "value": "Tell me a joke"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "b78b6d50-53be-43a1-889c-773726443bfb",
      "name": "Custom - LLM Chain Node1",
      "type": "@n8n/n8n-nodes-langchain.code",
      "position": [
        -440,
        -740
      ],
      "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 } } ];"
          }
        },
        "inputs": {
          "input": [
            {
              "type": "main",
              "required": true,
              "maxConnections": 1
            },
            {
              "type": "ai_languageModel",
              "required": true,
              "maxConnections": 1
            }
          ]
        },
        "outputs": {
          "output": [
            {
              "type": "main"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cc27654f-92bd-48f5-80d9-1d4f9c83ecb5",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -420,
        -580
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "e64b5510-efd9-4a8b-aa3c-4312219cb2f0",
      "name": "Set3",
      "type": "n8n-nodes-base.set",
      "position": [
        -820,
        -440
      ],
      "parameters": {
        "options": {},
        "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": {
        "options": {}
      },
      "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": "REPLACE_WITH_RESOURCE"
        },
        "options": {}
      },
      "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
    },
    {
      "id": "12c80151-abbb-5765-b1ab-8afe2c4800e4",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -1860,
        -820
      ],
      "parameters": {
        "content": "# Self-coded LLM Chain Node\n\n## Purpose and structure\nThis folder contains the **Self-coded LLM Chain Node** workflow. Its executable nodes use `agent`, `code`, `lmChatOpenAi`, `manualTrigger`, `set`, `toolCode`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen clicking \"Execute Workflow\"\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Manual/0321_Manual_Stickynote_Automate_Triggered.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "Set2": {
      "main": [
        [
          {
            "node": "Custom - LLM Chain Node1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set3": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Custom - LLM Chain Node1",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Custom - Wikipedia1": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Execute Workflow\"": {
      "main": [
        [
          {
            "node": "Set3",
            "type": "main",
            "index": 0
          },
          {
            "node": "Set2",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false
}