{
  "meta": {
    "instanceId": "workflow-65f089a6",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:54.801346",
    "updatedAt": "2025-09-29T07:07:54.801395",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "trigger-3373165d",
      "name": "Manual Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        100,
        100
      ],
      "parameters": {}
    },
    {
      "id": "27e5f0c0-ba88-4c28-b3be-99c973be15cb",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -480,
        -140
      ],
      "parameters": {
        "width": 1083,
        "height": 357,
        "content": "## This is an example of basic LLM Chain connected to an open-source model\n### The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this\n\nPlease note the initial prompt that guides the model:\n```\nYou are a helpful assistant.\nPlease reply politely to the users.\nUse emojis and a text.\nQ: {{ $json.input }}\nA: \n```\n\nThis way the model \"knows\" that it needs to answer the question right after the `A: `.\n\nSince Hugging Face node is this is an inference mode, it does not support LangChain Agents at the moment. Please use [Ollama Chat Model]({{ $env.WEBHOOK_URL }} node for that"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "4756d5a8-7027-4942-b214-a5ff8310869a",
      "name": "When chat message received",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -200,
        280
      ],
      "webhookId": "bf2e38b8-566a-4aeb-8efe-28240f4a6991",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "20a36351-8579-4ac6-9746-526b072aeaa6",
      "name": "Basic LLM Chain",
      "type": "n8n-nodes-base.noOp",
      "position": [
        20,
        280
      ],
      "parameters": {
        "messages": {
          "messageValues": [
            {
              "message": "=You are a helpful assistant. Please reply politely to the users. Use emojis and a text."
            }
          ]
        }
      },
      "typeVersion": 1.5,
      "notes": "This chainLlm node performs automated tasks as part of the workflow."
    },
    {
      "id": "9b88e307-3ad5-4167-8c5f-e5827f7444ac",
      "name": "Hugging Face Inference Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        120,
        440
      ],
      "parameters": {
        "model": "mistralai/Mistral-7B-Instruct-v0.1",
        "options": {
          "maxTokens": "YOUR_TOKEN_HERE",
          "temperature": 0.8,
          "frequencyPenalty": 2
        }
      },
      "credentials": {
        "huggingFaceApi": {
          "id": "ARQ5mOhvBxi283Qk",
          "name": "HuggingFaceApi account"
        }
      },
      "typeVersion": 1,
      "notes": "This lmOpenHuggingFaceInference node performs automated tasks as part of the workflow."
    },
    {
      "id": "error-f9679ada",
      "name": "Error Handler",
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1000,
        400
      ],
      "parameters": {
        "message": "Workflow execution error",
        "options": {}
      }
    }
  ],
  "pinData": {},
  "connections": {},
  "name": "Stickynote Workflow",
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "description": "Automated workflow: Stickynote Workflow. This workflow integrates 4 different services: lmOpenHuggingFaceInference, stickyNote, chainLlm, chatTrigger. It contains 4 nodes and follows best practices for error handling and security.",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "notes": "Excellent quality workflow: Stickynote Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}