{
  "workflow": {
    "id": 4588,
    "name": "Firecrawl AI-powered market intelligence bot: automated news insights delivery",
    "views": 8617,
    "recentViews": 2,
    "totalViews": 8617,
    "createdAt": "2025-06-02T08:54:26.735Z",
    "description": "\n## Workflow Overview\nThis cutting-edge n8n automation is a sophisticated market research and intelligence gathering tool designed to transform web content discovery into actionable insights. By intelligently combining web crawling, AI-powered filtering, and smart summarization, this workflow:\n\n1. **Discovers Relevant Content**: \n   - Automatically crawls target websites\n   - Identifies trending topics\n   - Extracts comprehensive article details\n\n2. **Intelligent Content Filtering**:\n   - Applies custom keyword matching\n   - Filters for most relevant articles\n   - Ensures high-quality information capture\n\n3. **AI-Powered Summarization**:\n   - Generates concise, meaningful summaries\n   - Extracts key insights\n   - Provides quick, digestible information\n\n4. **Seamless Delivery**:\n   - Sends summaries directly to Slack\n   - Enables instant team communication\n   - Facilitates rapid information sharing\n\n## Key Benefits\n- 🤖 **Full Automation**: Continuous market intelligence\n- 💡 **Smart Filtering**: Precision content discovery\n- 📊 **AI-Powered Insights**: Intelligent summarization\n- 🚀 **Instant Delivery**: Real-time team updates\n\n## Workflow Architecture\n\n### 🔹 Stage 1: Content Discovery\n- **Scheduled Trigger**: Daily market research\n- **FireCrawl Integration**: Web content crawling\n- **Comprehensive Site Scanning**:\n  - Extracts article metadata\n  - Captures full article content\n  - Identifies key information sources\n\n### 🔹 Stage 2: Intelligent Filtering\n- **Keyword-Based Matching**\n- **Relevance Assessment**\n- **Custom Domain Optimization**:\n  - AI and technology focus\n  - Startup and innovation tracking\n\n### 🔹 Stage 3: AI Summarization\n- **OpenAI GPT Integration**\n- **Contextual Understanding**\n- **Concise Insight Generation**:\n  - 3-point summary format\n  - Captures essential information\n\n### 🔹 Stage 4: Team Notification\n- **Slack Integration**\n- **Instant Information Sharing**\n- **Formatted Insight Delivery**\n\n## Potential Use Cases\n- **Market Research Teams**: Trend tracking\n- **Innovation Departments**: Technology monitoring\n- **Startup Ecosystems**: Competitive intelligence\n- **Product Management**: Industry insights\n- **Strategic Planning**: Rapid information gathering\n\n## Setup Requirements\n1. **FireCrawl API**\n   - Web crawling credentials\n   - Configured crawling parameters\n\n2. **OpenAI API**\n   - GPT model access\n   - Summarization configuration\n   - API key management\n\n3. **Slack Workspace**\n   - Channel for insights delivery\n   - Appropriate app permissions\n   - Webhook configuration\n\n4. **n8n Installation**\n   - Cloud or self-hosted instance\n   - Workflow configuration\n   - API credential management\n\n## Future Enhancement Suggestions\n- 🤖 Multi-source crawling\n- 📊 Advanced sentiment analysis\n- 🔔 Customizable alert mechanisms\n- 🌐 Expanded topic tracking\n- 🧠 Machine learning refinement\n\n## Technical Considerations\n- Implement robust error handling\n- Use exponential backoff for API calls\n- Maintain flexible crawling strategies\n- Ensure compliance with website terms of service\n\n## Ethical Guidelines\n- Respect content creator rights\n- Use data for legitimate research\n- Maintain transparent information gathering\n- Provide proper attribution\n\n\n\n## Workflow Visualization\n\n```plaintext\n[Daily Trigger]\n    ⬇️\n[Web Crawling]\n    ⬇️\n[Content Filtering]\n    ⬇️\n[AI Summarization]\n    ⬇️\n[Slack Delivery]\n```\n\n## Connect With Me\n\n**Ready to revolutionize your market research?**\n\n📧 **Email**: Yaron@nofluff.online\n\n🎥 **YouTube**: [@YaronBeen](https://www.youtube.com/@YaronBeen/videos)\n\n💼 **LinkedIn**: [Yaron Been](https://www.linkedin.com/in/yaronbeen/)\n\n**Transform your information gathering with intelligent, automated workflows!**\n\n\n#AIResearch #MarketIntelligence #AutomatedInsights #TechTrends #WebCrawling #AIMarketing #InnovationTracking #BusinessIntelligence #DataAutomation #TechNews",
    "workflow": {
      "id": "iTYjhgQEFE4ap1c8",
      "meta": {
        "instanceId": "84ad02d6104594179f43f1ce9cfe3a81637b2faedb57dafcb9e649b7542988db",
        "templateCredsSetupCompleted": true
      },
      "name": "FireCrawl Summary Bot",
      "tags": [],
      "nodes": [
        {
          "id": "471044c1-cafd-4810-973d-b40c74ef6999",
          "name": "Daily Market Research Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
            -160,
            0
          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "triggerAtHour": 8
                }
              ]
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "8f6e97b6-6910-4c6b-8c9a-29a0cf95ac09",
          "name": "Crawl TechCrunch (FireCrawl)",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            140,
            0
          ],
          "parameters": {
            "url": "https://api.firecrawl.dev/v1/crawl",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "url",
                  "value": "https://techcrunch.com"
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                {
                  "name": "crawl_type",
                  "value": "scrape"
                },
                {
                  "name": "extract_article",
                  "value": "true"
                }
              ]
            },
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer YOUR_TOKEN_HERE"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
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          "name": "Filter Relevant Articles",
          "type": "n8n-nodes-base.code",
          "position": [
            360,
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          ],
          "parameters": {
            "jsCode": "const keywords = ['AI', 'machine learning', 'startup', 'generative'];\nconst results = [];\n\nfor (const item of items) {\n  const title = item.json.article?.title?.toLowerCase() || '';\n  const content = item.json.article?.content?.toLowerCase() || '';\n\n  const isRelevant = keywords.some(keyword =>\n    title.includes(keyword.toLowerCase()) ||\n    content.includes(keyword.toLowerCase())\n  );\n\n  if (isRelevant) {\n    results.push(item); // keep only relevant articles\n  }\n}\n\nreturn results;\n"
          },
          "typeVersion": 2
        },
        {
          "id": "a326e8fd-bfc8-4380-9c66-20481aaa8a6c",
          "name": "Summarizer Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            700,
            0
          ],
          "parameters": {
            "text": "=Summarize the following article in 3 bullet points:\nTitle: {{ $json.article.title }}\ndescription: {{ $json.meta.description }}\nContent: {{ $json.article.content }}",
            "options": {},
            "promptType": "define"
          },
          "typeVersion": 1.9
        },
        {
          "id": "d8576228-6261-4654-84de-0864e398c22d",
          "name": "OpenAI Summarizer",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            640,
            240
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "f5965b4a-4ab1-4e5f-868c-2dc11c59fc28",
          "name": "Send Summary to Slack",
          "type": "n8n-nodes-base.slack",
          "position": [
            1060,
            0
          ],
          "webhookId": "c2e00b18-42bd-49b7-bc4c-05d60633a7c8",
          "parameters": {
            "text": "=🔍 AI Research Summary: \nTitle: {{ $('Filter Relevant Articles').item.json.article.title }}\nLink: {{ $('Filter Relevant Articles').item.json.url }}\nSummary: {{ $json.output }}",
            "select": "channel",
            "channelId": {
              "__rl": true,
              "mode": "list",
              "value": "C08TTV0CC3E",
              "cachedResultName": "all-nathing"
            },
            "otherOptions": {}
          },
          "credentials": {
            "slackApi": {
              "id": "credential-id",
              "name": "slackApi Credential"
            }
          },
          "typeVersion": 2.3
        },
        {
          "id": "295fae17-e75e-47db-a321-0379899f44cc",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            80,
            -580
          ],
          "parameters": {
            "color": 3,
            "width": 440,
            "height": 800,
            "content": "🌐💻 2. Crawling & Filtering\nNodes:\n🌐 Crawl TechCrunch (FireCrawl) (HTTP Request)\n\n🧠 Filter Relevant Articles (Code)\n\n🔍 What these nodes do:\n🌐 Crawl TechCrunch (FireCrawl)\nUses a POST request to FireCrawl’s API\n\nInputs:\n\nurl: Target site (e.g., https://techcrunch.com)\n\ncrawl_type: \"scrape\"\n\nextract_article: true\n\nRetrieves:\n\ntitle, content, author, published_at\n\n🧠 Filter Relevant Articles\nUses a Code node to check if the article is relevant\n\nKeywords like \"AI\", \"machine learning\", \"startup\" are matched\n\nFilters only the articles that matter to your domain"
          },
          "typeVersion": 1
        },
        {
          "id": "5fe2fbcc-8489-42cf-a578-48a46f18977d",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            580,
            -540
          ],
          "parameters": {
            "color": 5,
            "width": 640,
            "height": 920,
            "content": "🤖💬 3. Summarization & Delivery\nNodes:\n🧠 Summarize Article with AI (AI Agent)\n\n🔗 OpenAI Chat (Summarizer) (OpenAI Chat Model)\n\n💬 Send Summary to Slack (Slack)\n\n📌 What happens here:\n🤖 Summarize Article with AI\nPasses the article to a GPT-4 or GPT-3.5 agent\n\nUses a prompt like:\n\n“Summarize the following article in 3 bullet points…”\n\n💡 OpenAI Chat (Summarizer)\nExecutes the actual summarization\n\nOutputs a short, clean summary ideal for fast reading\n\n💬 Send Summary to Slack\nPosts the summary to a specific Slack channel (e.g., #market-research)"
          },
          "typeVersion": 1
        },
        {
          "id": "97ecbbb2-e763-47f0-82b8-2fede05b486f",
          "name": "Sticky Note9",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2100,
            -560
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          "parameters": {
            "color": 4,
            "width": 1300,
            "height": 320,
            "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
          },
          "typeVersion": 1
        },
        {
          "id": "d28d5f04-db81-4833-869f-158b4586a337",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -2100,
            -220
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          "parameters": {
            "color": 4,
            "width": 1289,
            "height": 2758,
            "content": "Absolutely! Here's your **Market Research Automation Workflow** beautifully divided into logical sections, with clear explanations and fitting icons to help you grasp each part at a glance.\n\n---\n\n# 🚀 **n8n Market Research Automation Workflow**\n\nAutomate the process of **crawling news sites**, **filtering for relevant content**, **summarizing it with AI**, and **posting it to Slack** — all in a seamless flow.\n\n---\n\n## ⏰ 1. **Trigger & Scheduling**\n\n**Node:** `🕒 Daily Market Research Trigger`\n\n> Starts the workflow on a recurring schedule.\n\n🔧 **What it does:**\n\n* Runs every morning (or your defined time)\n* Ensures your team receives fresh updates daily\n\n📅 **Example Cron Setting:**\n\n* Every day at 8:00 AM\n\n---\n\n## 🌐💻 2. **Crawling & Filtering**\n\n### **Nodes:**\n\n* `🌐 Crawl TechCrunch (FireCrawl)` *(HTTP Request)*\n* `🧠 Filter Relevant Articles` *(Code)*\n\n### 🔍 What these nodes do:\n\n#### 🌐 **Crawl TechCrunch (FireCrawl)**\n\n* Uses a **POST** request to FireCrawl’s API\n* Inputs:\n\n  * `url`: Target site (e.g., `https://techcrunch.com`)\n  * `crawl_type`: `\"scrape\"`\n  * `extract_article`: `true`\n* Retrieves:\n\n  * `title`, `content`, `author`, `published_at`\n\n#### 🧠 **Filter Relevant Articles**\n\n* Uses a `Code` node to check if the article is relevant\n* Keywords like `\"AI\"`, `\"machine learning\"`, `\"startup\"` are matched\n* Filters only the articles that **matter to your domain**\n\n📄 **Sample Code:**\n\n```javascript\nconst keywords = ['AI', 'machine learning', 'startup', 'generative'];\nconst results = [];\n\nfor (const item of items) {\n  const title = item.json.article?.title?.toLowerCase() || '';\n  const content = item.json.article?.content?.toLowerCase() || '';\n\n  const isRelevant = keywords.some(keyword =>\n    title.includes(keyword.toLowerCase()) ||\n    content.includes(keyword.toLowerCase())\n  );\n\n  if (isRelevant) {\n    results.push(item); // keep only relevant articles\n  }\n}\n\nreturn results;\n```\n\n---\n\n## 🤖💬 3. **Summarization & Delivery**\n\n### **Nodes:**\n\n* `🧠 Summarize Article with AI` *(AI Agent)*\n* `🔗 OpenAI Chat (Summarizer)` *(OpenAI Chat Model)*\n* `💬 Send Summary to Slack` *(Slack)*\n\n### 📌 What happens here:\n\n#### 🤖 **Summarize Article with AI**\n\n* Passes the article to a GPT-4 or GPT-3.5 agent\n* Uses a prompt like:\n\n  > “Summarize the following article in 3 bullet points…”\n\n#### 💡 **OpenAI Chat (Summarizer)**\n\n* Executes the actual summarization\n* Outputs a short, clean summary ideal for fast reading\n\n#### 💬 **Send Summary to Slack**\n\n* Posts the summary to a specific Slack channel (e.g., `#market-research`)\n* Message format example:\n\n  ```\n  🔍 *Market Research Summary*\n  *Title:* OpenAI launches GPT-5\n  *Link:* https://techcrunch.com/article\n  *Summary:*\n  - GPT-5 improves reasoning\n  - Enhanced safety mechanisms\n  - Better multilingual performance\n  ```\n\n"
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              "url": "https://techcrunch.com",
              "meta": {
                "description": "The latest technology news and information on startups."
              },
              "title": "TechCrunch - Startup and Technology News",
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              "article": {
                "title": "OpenAI launches GPT-5",
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                "content": "OpenAI has officially released GPT-5, a major upgrade with enhanced reasoning and safety improvements...",
                "published_at": "2025-05-28T13:00:00Z"
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    "lastUpdatedBy": 29,
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        "@n8n/n8n-nodes-langchain.agent": {
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        "n8n-nodes-base.scheduleTrigger": {
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    "status": "published",
    "user": {
      "name": "Yaron Been",
      "username": "yaron-nofluff",
      "bio": "Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos",
      "verified": true,
      "links": [
        "https://www.nofluff.online/automation-services/"
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      "avatar": "https://gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?r=pg&d=retro&size=200"
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        "name": "n8n-nodes-base.httpRequest",
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                  "label": "2021: The Year to Automate the New You with n8n"
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            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "HTTP Request",
          "color": "#0004F5"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "HTTP Request",
        "typeVersion": 4,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 40,
        "icon": "file:slack.svg",
        "name": "n8n-nodes-base.slack",
        "codex": {
          "data": {
            "alias": [
              "human",
              "form",
              "wait",
              "hitl",
              "approval"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "⚙️",
                  "label": "Automate your data processing pipeline in 9 steps"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "⚡️",
                  "label": "5 tasks you can automate with the new Notion API "
                },
                {
                  "url": "https://n8n.io/blog/build-your-own-virtual-assistant-with-n8n-a-step-by-step-guide/",
                  "icon": "👦",
                  "label": "Build your own virtual assistant with n8n: A step by step guide"
                },
                {
                  "url": "https://n8n.io/blog/how-to-automatically-give-kudos-to-contributors-with-github-slack-and-n8n/",
                  "icon": "👏",
                  "label": "How to automatically give kudos to contributors with GitHub, Slack, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/automations-for-activists/",
                  "icon": "✨",
                  "label": "How Common Knowledge use workflow automation for activism"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.slack/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/slack/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "Slack"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "Slack",
        "typeVersion": 2,
        "nodeCategories": [
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            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
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            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1153,
        "icon": "file:openAiLight.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI Chat Model"
        },
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