Streamline your customer engagement by automating interactions using the OpenAI GPT API and AI Chat features. This workflow connects chat triggers to an AI Agent, enabling seamless, intelligent responses to user inquiries. Perfect for AI-powered automation users looking to enhance customer experience. Requires 1 account: OpenAI API. Save hours of manual responses and boost customer satisfaction by handling multiple queries simultaneously.
Categories
AI Features
Credentials
Copy or download to import into your n8n instance
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "02072c77-9eee-43bc-a046-bdc31bf1bc51",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
1280
],
"parameters": {
"width": 616,
"height": 236,
"content": "### Convert the query string into JSON, apply the limit for a page length"
},
"typeVersion": 1
},
{
"id": "31e7582c-9289-4bd3-b89d-c3d866754313",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
980
],
"parameters": {
"width": 491,
"height": 285.7,
"content": "## Send an error message:\n1. If query param was incorrect, return the instruction. AI Agent should pick up on this and adapt the query on the next iteration.\n2. If the query is OK and an error was during the HTTP Request, then send back the original error message."
},
"typeVersion": 1
},
{
"id": "0f3ec3c8-076a-4f22-a9ab-4623494914ff",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
1300
],
"parameters": {
"width": 1200,
"height": 493,
"content": "## Post-processing of the HTML page:\n1. Keep only <BODY> content\n2. Remove inline <SCRIPT> tag entirely, as well as: NOSCRIPT, IFRAME, OBJECT, EMBED, VIDEO, AUDIO, SVG, and HTML comments.\n3. In case query parameter method=simplified, replace all page URLs (a href) and IMG (src) with NOURL / NOIMG - this may save up to 20% of the page length\n4. Convert the remaining HTML to Markdown. This step further reduces the length of the page: long HTML tags and styles are eliminated, but the markdown syntax keeps some page structure. This gives much better results compared to just a blank text.\n5. Finally, check the page length. If it's too long, send an \"ERROR: PAGE CONTENT TOO LONG\" instead of the actual page. Of course, you could split the page content in chunks, but sometimes long pages just don't have a needed content, so it makes little sense to burn tokens on them."
},
"typeVersion": 1
},
{
"id": "139733cc-7954-459e-9b55-15a3bde4d8b7",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-240,
680
],
"parameters": {
"width": 617,
"height": 503,
"content": "## Example ReAct AI Agent\n1. Agent Prompt is default\n2. Check the description of the HTTP_Request_Tool, it guides the agent to provide a query string with several parameters instead of a JSON object"
},
"typeVersion": 1
},
{
"id": "2b5ee7e4-061d-4a17-8581-54e02086a49a",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-200,
840
],
"webhookId": "e0a11ea2-9dd7-496a-8078-1a96f05fc04b",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "adc5e4d7-bccf-4ee7-9464-5cbb7b1409ba",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
20,
840
],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "10ccad7d-2c83-4fd9-beb9-a99e1c034947",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
20,
1040
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "4btCKq9GjcZHsUb1",
"name": "x.ai compat"
}
},
"typeVersion": 1.2
},
{
"id": "5d582c5f-35d3-4cdb-96ad-fa750be0b889",
"name": "When Executed by Another Workflow",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-160,
1340
],
"parameters": {
"inputSource": "passthrough"
},
"typeVersion": 1.1
},
{
"id": "1f073e7d-2cdd-426e-8d05-287fdf20f564",
"name": "QUERY_PARAMS",
"type": "n8n-nodes-base.set",
"position": [
20,
1340
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f3a339da-66dc-45f1-852a-cdfe0daa4552",
"name": "query",
"type": "object",
"value": "={{ $json.query.substring($json.query.indexOf('?') + 1).split('&').reduce((result, item) => (result[item.split('=')[0]] = decodeURIComponent(item.split('=')[1]), result), {}) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e9f627af-e935-478e-a2b1-b50ea57d14b1",
"name": "CONFIG",
"type": "n8n-nodes-base.set",
"position": [
200,
1340
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ce4bb35a-c5ac-430e-b11a-6bf04de2dd90",
"name": "query.maxlimit",
"type": "number",
"value": "={{ $json?.query?.maxlimit == null ? 70000 : Number($json?.query?.maxlimit) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0309fb92-6785-4e38-aaeb-05ee4b6a64e2",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
440,
1340
],
"parameters": {
"url": "={{ encodeURI($json.query.url) }}",
"options": {
"response": {
"response": {
"neverError": true
}
},
"allowUnauthorizedCerts": true
}
},
"typeVersion": 4.2
},
{
"id": "9c8b9856-a403-405c-afd4-9e9fecaa5913",
"name": "Is error?",
"type": "n8n-nodes-base.if",
"position": [
620,
1340
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "33937446-5010-47d2-b98f-2f0ceae3fbf5",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.hasOwnProperty('error') }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d7275d78-2c59-4b8f-bb8e-481f73827fd5",
"name": "Stringify error message",
"type": "n8n-nodes-base.set",
"position": [
880,
1120
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "510f74a1-17da-4a2a-b207-9eda19f97ee0",
"name": "page_content",
"type": "string",
"value": "={{ $('QUERY_PARAMS').first()?.json?.query?.url == null ? \"INVALID action_input. This should be an HTTP query string like this: \\\"?url=VALIDURL&method=SELECTEDMETHOD\\\". Only a simple string value is accepted. JSON object as an action_input is NOT supported!\" : JSON.stringify($json.error) }}"
}
]
},
"includeFields": "HTML",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "f7ca9e36-5edb-4573-a258-150c5bdcc644",
"name": "Exctract HTML Body",
"type": "n8n-nodes-base.set",
"position": [
900,
1620
],
"parameters": {
"include": "selected",
"options": {},
"assignments": {
"assignments": [
{
"id": "3639b76e-3ae9-4461-8d4c-552bf1c8a6bf",
"name": "HTML",
"type": "string",
"value": "={{ $json?.data.match(/<body[^>]*>([\\s\\S]*?)<\\/body>/i)[1] }}"
}
]
},
"includeFields": "HTML",
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "9fef995b-d8ab-4d01-b2fb-01a605062fd1",
"name": "Remove extra tags",
"type": "n8n-nodes-base.set",
"position": [
1080,
1620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "89b927c9-ddc1-4735-a0ea-c1e50a057f76",
"name": "HTML",
"type": "string",
"value": "={{ ($json.HTML || \"HTML BODY CONTENT FOR THIS SEARCH RESULT IS NOT AVAILABLE\").replace(/<script[^>]*>([\\s\\S]*?)<\\/script>|<style[^>]*>([\\s\\S]*?)<\\/style>|<noscript[^>]*>([\\s\\S]*?)<\\/noscript>|<!--[\\s\\S]*?-->|<iframe[^>]*>([\\s\\S]*?)<\\/iframe>|<object[^>]*>([\\s\\S]*?)<\\/object>|<embed[^>]*>([\\s\\S]*?)<\\/embed>|<video[^>]*>([\\s\\S]*?)<\\/video>|<audio[^>]*>([\\s\\S]*?)<\\/audio>|<svg[^>]*>([\\s\\S]*?)<\\/svg>/ig, '')}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4897d31a-6425-4838-b934-95b1451cae61",
"name": "Simplify?",
"type": "n8n-nodes-base.if",
"position": [
1260,
1620
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9c3a2a78-b236-4f47-89b0-34967965e01c",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $('CONFIG').first()?.json?.query?.method }}",
"rightValue": "simplify"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "997c724c-ea8f-4536-a389-ac8429d57448",
"name": "Simplify output",
"type": "n8n-nodes-base.set",
"position": [
1440,
1520
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "92b08041-799b-4335-aefe-3781a42f8ec0",
"name": "HTML",
"type": "string",
"value": "={{ $json.HTML.replace(/href\\s*=\\s*\"(.+?)\"/gi, 'href=\"NOURL\"').replace(/src\\s*=\\s*\"(.+?)\"/gi, 'src=\"NOIMG\"')}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "440a8076-3901-42e2-a36a-bc47ff588dd4",
"name": "Convert to Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
1620,
1620
],
"parameters": {
"html": "={{ $json.HTML }}",
"options": {},
"destinationKey": "page_content"
},
"typeVersion": 1
},
{
"id": "a2fbeb5e-3e82-4777-bb61-3e475ffe2fc8",
"name": "Send Page Content",
"type": "n8n-nodes-base.set",
"position": [
1820,
1620
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "48a78432-2103-44ed-b4d6-7e429ae9e742",
"name": "page_content",
"type": "string",
"value": "={{ $json.page_content.length < $('CONFIG').first()?.json?.query?.maxlimit ? $json.page_content : \"ERROR: PAGE CONTENT TOO LONG\" }}"
},
{
"id": "ec0130f1-16a2-474f-a7cb-96d0e6fc644f",
"name": "page_length",
"type": "string",
"value": "={{ $json.page_content.length }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d367adfd-efd8-49e3-bed3-d65f23a60a9a",
"name": "HTTP_Request_Tool",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
200,
1040
],
"parameters": {
"name": "HTTP_Request_Tool",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}",
"cachedResultName": "={{ $workflow.id }}"
},
"description": "Call this tool to fetch a webpage content. The input should be a stringified HTTP query parameter like this: \"?url=VALIDURL&method=SELECTEDMETHOD\". \"url\" parameter should contain the valid URL string. \"method\" key can be either \"full\" or \"simplified\". method=full will fetch the whole webpage content in the Markdown format, including page links and image links. method=simplified will return the Markdown content of the page but remove urls and image links from the page content for simplicity. Before calling this tool, think strategically which \"method\" to call. Best of all to use method=simplified. However, if you anticipate that the page request is not final or if you need to extract links from the page, pick method=full.",
"workflowInputs": {
"value": {},
"schema": [],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2
}
],
"pinData": {},
"connections": {
"CONFIG": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"Is error?": {
"main": [
[
{
"node": "Stringify error message",
"type": "main",
"index": 0
}
],
[
{
"node": "Exctract HTML Body",
"type": "main",
"index": 0
}
]
]
},
"Simplify?": {
"main": [
[
{
"node": "Simplify output",
"type": "main",
"index": 0
}
],
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Is error?",
"type": "main",
"index": 0
}
]
]
},
"QUERY_PARAMS": {
"main": [
[
{
"node": "CONFIG",
"type": "main",
"index": 0
}
]
]
},
"Simplify output": {
"main": [
[
{
"node": "Convert to Markdown",
"type": "main",
"index": 0
}
]
]
},
"HTTP_Request_Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Remove extra tags": {
"main": [
[
{
"node": "Simplify?",
"type": "main",
"index": 0
}
]
]
},
"Exctract HTML Body": {
"main": [
[
{
"node": "Remove extra tags",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Markdown": {
"main": [
[
{
"node": "Send Page Content",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"When Executed by Another Workflow": {
"main": [
[
{
"node": "QUERY_PARAMS",
"type": "main",
"index": 0
}
]
]
}
}
}This workflow seamlessly integrates OpenAI GPT and Serp API to enhance your chat interactions by providing AI-driven responses based on real-time information. Ideal for AI-powered automation users, it requires 2 accounts: OpenAI API and Serp API. Save hours in customer engagement and provide instant, accurate information, boosting your response efficiency and customer satisfaction.
Streamline your customer interactions by automating WhatsApp responses using the WhatsApp Business API and OpenAI GPT. This workflow integrates AI Chat capabilities with advanced Vector Storage and AI Embeddings, making it perfect for AI-powered automation users. Requires 3 accounts: WhatsApp Trigger API, OpenAI API, and WhatsApp Business API. Save hours on customer queries and boost engagement, handling 100+ interactions effortlessly.
Streamline your RSS feed monitoring by leveraging Google Gemini and AI Agent for real-time insights. This workflow reads RSS feeds, processes data through HTTP requests, and engages in AI chat for interactive analysis. Perfect for developers and integrators. Requires 0 accounts. Save hours weekly by automating data collection and enhancing decision-making with intelligent insights.
Leverage the power of the Telegram Bot API and OpenAI GPT to automate intelligent conversations on Telegram. This workflow is designed for AI-powered automation users looking to enhance engagement through AI-driven responses. Requires 2 accounts: Telegram Bot Token and OpenAI API Key. Save hours of manual replies and improve user interaction with dynamic, context-aware responses instantly.
Configure credentials and update service-specific settings before executing the workflow. Review required credentials in the Technical Details section above.