{
  "meta": {
    "instanceId": "workflow-f34412ed",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:48.973315",
    "updatedAt": "2025-09-29T07:07:48.973329",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "b7e2de27-e52c-46d1-aaa9-a67c11c48a8f",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        -60
      ],
      "parameters": {
        "width": 328.41313484548044,
        "height": 211.30313955500145,
        "content": "Before executing, replace `YOUR_API_KEY` with an API key for searchapi.io"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "fd2ac655-73fd-434a-bba4-e460af8dfa8a",
      "name": "When clicking \"Execute Workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -820,
        20
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "e1bd87f7-283b-496d-910d-b92d1cb19237",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1140,
        -20
      ],
      "parameters": {
        "color": 7,
        "height": 220.82906011310624,
        "content": "## About\nThis workflow shows how you can write LangChain code in n8n (and import its modules if required).\n\nThe workflow fetches a video from YouTube and produces a textual summary of it."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "a43bb1c5-dd90-4331-930c-128ef0ecb38a",
      "name": "LangChain Code",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -380,
        20
      ],
      "parameters": {
        "code": {
          "execute": {
            "code": "// IMPORTANT: add in your API key for searchapi.io below\nconst searchApiKey = \"<YOUR API KEY>\"\n\nconst { loadSummarizationChain } = require(\"langchain/chains\");\nconst { SearchApiLoader } = require(\"@n8n/n8n-nodes-langchain/node_modules/@langchain/community/document_loaders/web/searchapi.cjs\");\nconst { PromptTemplate } = require(\"@langchain/core/prompts\");\nconst { TokenTextSplitter } = require(\"langchain/text_splitter\");\nconst loader = new SearchApiLoader({\n  engine: \"youtube_transcripts\",\n  video_id: $input.item.json.videoId,\n  apiKey: searchApiKey,\n});\n\nif (searchApiKey == \"<YOUR API KEY>\") {\n  throw new Error(\"Please add your API key for searchapi.io to this node\")\n}\n\nconst docs = await loader.load();\n\nconst splitter = new TokenTextSplitter({\n  chunkSize: 10000,\n  chunkOverlap: 250,\n});\n\nconst docsSummary = await splitter.splitDocuments(docs);\n\nconst llmSummary = await this.getInputConnectionData('ai_languageModel', 0);\n\nconst summaryTemplate = `\nYou are an expert in summarizing YouTube videos.\nYour goal is to create a summary of a podcast.\nBelow you find the transcript of a podcast:\n--------\n{text}\n--------\n\nThe transcript of the podcast will also be used as the basis for a question and answer bot.\nProvide some examples questions and answers that could be asked about the podcast. Make these questions very specific.\n\nTotal output will be a summary of the video and a list of example questions the user could ask of the video.\n\nSUMMARY AND QUESTIONS:\n`;\n\nconst SUMMARY_PROMPT = PromptTemplate.fromTemplate(summaryTemplate);\n\nconst summaryRefineTemplate = `\nYou are an expert in summarizing YouTube videos.\nYour goal is to create a summary of a podcast.\nWe have provided an existing summary up to a certain point: {existing_answer}\n\nBelow you find the transcript of a podcast:\n--------\n{text}\n--------\n\nGiven the new context, refine the summary and example questions.\nThe transcript of the podcast will also be used as the basis for a question and answer bot.\nProvide some examples questions and answers that could be asked about the podcast. Make\nthese questions very specific.\nIf the context isn't useful, return the original summary and questions.\nTotal output will be a summary of the video and a list of example questions the user could ask of the video.\n\nSUMMARY AND QUESTIONS:\n`;\n\nconst SUMMARY_REFINE_PROMPT = PromptTemplate.fromTemplate(\n  summaryRefineTemplate\n);\n\nconst summarizeChain = loadSummarizationChain(llmSummary, {\n  type: \"refine\",\n  verbose: true,\n  questionPrompt: SUMMARY_PROMPT,\n  refinePrompt: SUMMARY_REFINE_PROMPT,\n});\n\nconst summary = await summarizeChain.run(docsSummary);\n\nreturn [{json: { summary } } ];"
          }
        },
        "inputs": {
          "input": [
            {
              "type": "main",
              "required": true,
              "maxConnections": 1
            },
            {
              "type": "ai_languageModel",
              "required": true,
              "maxConnections": 1
            }
          ]
        },
        "outputs": {
          "output": [
            {
              "type": "main"
            }
          ]
        }
      },
      "typeVersion": 1,
      "notes": "This code node performs automated tasks as part of the workflow."
    },
    {
      "id": "a36440c5-402e-44e6-819c-2a19dc9e3e1e",
      "name": "Set YouTube video ID",
      "type": "n8n-nodes-base.set",
      "position": [
        -600,
        20
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c2dc2944-a7c7-44c3-a805-27a55baa452a",
              "name": "videoId",
              "type": "string",
              "value": "OsMVtuuwOXc"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "02386530-9aef-4732-9972-5624b78431a6",
      "name": "OpenAI Chat Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -340,
        220
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "error-015aecd1",
      "name": "Error Handler",
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1000,
        400
      ],
      "parameters": {
        "message": "Workflow execution error",
        "options": {}
      }
    }
  ],
  "pinData": {},
  "connections": {
    "02386530-9aef-4732-9972-5624b78431a6": {
      "main": [
        [
          {
            "node": "error-handler-02386530-9aef-4732-9972-5624b78431a6-57525e4e",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "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 6 different services: stickyNote, code, set, stopAndError, lmChatOpenAi. It contains 7 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."
}