AutomationFlowsGeneral › Manual AI LLM Chain with Sticky Notes

Manual AI LLM Chain with Sticky Notes

Original n8n title: Manual Stickynote (chain Llm)

Manual Stickynote. Uses manualTrigger, stickyNote, chainLlm, lmChatOpenAi. Event-driven trigger; 11 nodes.

Event trigger★★★☆☆ complexityAI-powered11 nodesChain LlmOpenAI ChatOutput Parser AutofixingOutput Parser Structured
General Trigger: Event Nodes: 11 Complexity: ★★★☆☆ AI nodes: yes Added:

This workflow follows the Chainllm → OpenAI Chat 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
{
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "1116cae7-c7f3-424d-8b87-06ecbac0539f",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        1040,
        -260
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "c01d02c0-a41b-445e-b006-8b46ad1c437d",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2000,
        260
      ],
      "parameters": {
        "height": 264.69900963477494,
        "content": "### Parser which defines the output format and which gets used to validate the output"
      },
      "typeVersion": 1
    },
    {
      "id": "97f977e2-eb78-4ad9-ab21-816ff94c8f0c",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1600,
        260
      ],
      "parameters": {
        "height": 266.9506012398238,
        "content": "### The LLM which gets used to try to autofix the output in case it was not valid"
      },
      "typeVersion": 1
    },
    {
      "id": "5325a0d4-9422-445c-bd21-3290c2b14415",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1320,
        -40
      ],
      "parameters": {
        "height": 245.56048099185898,
        "content": "### The LLM to process the original prompt"
      },
      "typeVersion": 1
    },
    {
      "id": "55e78fdb-1e08-4f13-be0d-7e476aced21b",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1740,
        -40
      ],
      "parameters": {
        "width": 348,
        "height": 253,
        "content": "### Autofixing parser which tries to fix invalid outputs with the help of an LLM"
      },
      "typeVersion": 1
    },
    {
      "id": "622183c2-9d57-4e1c-a7bd-c5320ef42668",
      "name": "Basic LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1480,
        -260
      ],
      "parameters": {
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "314739fe-0ab3-40a1-b192-6e09b548b92f",
      "name": "Prompt",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        -260
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "6f09dac7-429c-4e8f-af32-8e0112efc8c2",
              "name": "chatInput",
              "type": "string",
              "value": "Return the 5 largest states by area in the USA with their 3 largest cities and their population."
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "e76f5ac7-e185-46d4-aa26-971c8fe03c76",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1400,
        60
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "5306e68a-cce0-4298-a50a-33727e2186c5",
      "name": "Auto-fixing Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        1800,
        80
      ],
      "parameters": {
        "options": {
          "prompt": "Instructions:\n--------------\n{instructions}\n--------------\nCompletion:\n--------------\n{completion}\n--------------\n\nAbove, the Completion did not satisfy the constraints given in the Instructions.\nError:\n--------------\n{error}\n--------------\n\nPlease try again. Please only respond with an answer that satisfies the constraints laid out in the Instructions:"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "d5642767-69f6-4a09-92da-195a25a17dd1",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1680,
        400
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "dc708b80-8d48-40cb-9af3-692ddd566b9f",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2080,
        380
      ],
      "parameters": {
        "schemaType": "manual",
        "inputSchema": "{\n  \"type\": \"object\",\n  \"properties\": {\n    \"state\": {\n      \"type\": \"string\"\n    },\n    \"cities\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"name\": \"string\",\n          \"population\": \"number\"\n        }\n      }\n    }\n  }\n}"
      },
      "typeVersion": 1.2
    }
  ],
  "connections": {
    "Prompt": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Auto-fixing Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Execute Workflow\"": {
      "main": [
        [
          {
            "node": "Prompt",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

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About this workflow

Manual Stickynote. Uses manualTrigger, stickyNote, chainLlm, lmChatOpenAi. Event-driven trigger; 11 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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