Robert Breen This workflow corresponds to n8n.io template #6656 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger 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 →
{
"nodes": [
{
"id": "9b686668-2c0e-4c1d-908f-c2954e67b0da",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
20,
580
],
"parameters": {
"public": true,
"options": {}
},
"typeVersion": 1.1
},
{
"id": "851344f4-1862-4bc6-9ea6-1f17831a706f",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a6e3505c-3e7d-43d1-bfb4-b3c2b0a44e46",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
400,
300
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "243b3744-ada2-4eaa-bcaf-3ae91e3a4441",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
600,
300
],
"parameters": {
"jsonSchemaExample": "{\n \"Name\": \"Alex Chen\",\n \"Is Good Lead\": \"No\",\n \"Reasoning\": \"The customer is interested in buying a single item for personal use.\"\n}\n"
},
"typeVersion": 1.2
},
{
"id": "5177741d-236d-47a6-9ac8-9cb46ba1a3f1",
"name": "Edit Fields1",
"type": "n8n-nodes-base.set",
"position": [
780,
40
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "948759d1-4c0c-4751-a83d-9daa1ec3bb1c",
"name": "Name",
"type": "string",
"value": "={{$json[\"output\"][\"Name\"]}}"
},
{
"id": "91dbdf7b-8f0d-4ae2-ab36-701b01b581e2",
"name": "Good Lead",
"type": "string",
"value": "={{$json[\"output\"][\"Is Good Lead\"]}}"
},
{
"id": "5d38cd05-eb1a-4734-83d2-cdd5ee973ea7",
"name": "Reasoning",
"type": "string",
"value": "={{ $json.output.Reasoning }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7261e97b-e056-44f5-a98e-b62641ed137e",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
240,
800
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "a9207b97-4599-44d4-9cfe-a38d6a5976c0",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
420,
820
],
"parameters": {
"contextWindowLength": 10
},
"typeVersion": 1.3
},
{
"id": "162bcc59-f8ac-4468-900a-a65f52320ec8",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-180,
-60
],
"parameters": {
"width": 1300,
"height": 500,
"content": "## Lead Qualifier Agent\n"
},
"typeVersion": 1
},
{
"id": "45e03054-92b4-4fbb-a9f0-a65bd024f972",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-180,
460
],
"parameters": {
"color": 5,
"width": 1300,
"height": 540,
"content": "## Ecommerce Chatbot\n"
},
"typeVersion": 1
},
{
"id": "19c265f1-ac38-472f-a975-4674a42f89ef",
"name": "Create Sample Data",
"type": "n8n-nodes-base.code",
"position": [
200,
40
],
"parameters": {
"jsCode": "return [\n {\n json: {\n name: \"Jordan Lee\",\n transcript: \"Hi, I'm looking to place a large order of custom mugs for an upcoming corporate event. Probably around 300 units.\"\n }\n },\n {\n json: {\n name: \"Alex Chen\",\n transcript: \"Do you sell just one of these backpacks? I\u2019m shopping for my daughter.\"\n }\n },\n {\n json: {\n name: \"Samira Patel\",\n transcript: \"We\u2019re exploring gifts for our team and might want to add a logo. What's your bulk pricing on notebooks?\"\n }\n },\n {\n json: {\n name: \"Marcus Grant\",\n transcript: \"Just checking shipping times for a single product before I order. Thanks.\"\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "dbf6ef88-e1c3-4cd7-95e9-9fa47b2d81b4",
"name": "Lead Qualifier Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
400,
40
],
"parameters": {
"text": "=Name: {{$json[\"name\"]}}\nTranscript: {{$json[\"transcript\"]}}\n",
"options": {
"systemMessage": "You are a lead qualification assistant for an ecommerce store. Your job is to determine if a customer from a phone call is a good lead for a **bulk order**.\n\nIf they mention:\n- large quantities\n- logos\n- team gifts\n- events\n- wholesale\n- or any indication of buying in bulk\n\nThen classify them as a **good lead**. Otherwise, mark them as not a good lead.\n\nRespond only in valid JSON with:\n- \"Name\": customer\u2019s name\n- \"Is Good Lead\": Yes or No\n- \"Reasoning\": short one-sentence reason"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.8
},
{
"id": "ef1d7730-6945-4dc6-b8d1-0d8b48c29b10",
"name": "Ecommerce Chatbot",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
300,
580
],
"parameters": {
"options": {
"systemMessage": "\ud83d\udc4b Hi there! I'm your personal assistant here to help you with anything related to our ecommerce store.\n\nI can assist you with:\n- Product information\n- Bulk orders\n- Pricing questions\n- Customization options (like adding a logo)\n- Shipping times and return policies\n\nHere\u2019s how I work:\n- I know the details of our products, pricing, and bulk order discounts.\n- I respond politely, professionally, and clearly.\n- If you're placing a bulk order, I\u2019ll ask for the quantity you need, when you need it, and whether you have your artwork or logo ready.\n\n## Product Pricing (Standard Retail):\n- **Custom Notebook**: $12.00 each \n- **Eco Water Bottle**: $15.00 each \n- **Enamel Mug**: $10.00 each \n- **Canvas Tote Bag**: $14.00 each\n\n## Bulk Discount Tiers:\n- 50+ units: 10% off \n- 100+ units: 15% off \n- 250+ units: 20% off \n- 500+ units: 25% off \n*Discounts apply per product type and are automatically calculated.*\n\n## Shipping & Returns:\n- Standard shipping: 3\u20135 business days \n- Bulk orders may take 7\u201314 business days depending on customization\n- Returns accepted within 30 days for non-customized items\n\n## Rules:\n- Be honest and helpful\n- Never make up data or offer discounts outside the tiers above\n- If unsure about something, say a team member will follow up\n- If the customer mentions a bulk order, ask how many units they need and if they have artwork ready\n\n\n- if the customer has confirmed they want to place an order output ***** along with the response. \n\nJust ask your question, and I\u2019ll take it from there!\n"
}
},
"typeVersion": 1.8
},
{
"id": "052a2f31-f0fa-41ff-be09-121b7ac2f9f1",
"name": "Test if conversation is complete",
"type": "n8n-nodes-base.if",
"position": [
640,
600
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a3eb2967-e920-4342-ad2b-a2ae3b972955",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.output }}",
"rightValue": "*****"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "973fc612-a2ff-4105-8b58-ab1c22f171ba",
"name": "Respond to User",
"type": "n8n-nodes-base.noOp",
"position": [
860,
720
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e7401017-be65-4e75-8cd3-1af132116108",
"name": "End the Conversation",
"type": "n8n-nodes-base.code",
"position": [
880,
500
],
"parameters": {
"jsCode": "let text = \"Your order has been placed\"\n\nreturn {text}\n \n "
},
"typeVersion": 2
},
{
"id": "d2055f0c-81ce-4b83-9541-12634e4fc75c",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-900,
-60
],
"parameters": {
"color": 4,
"width": 680,
"height": 1060,
"content": "### Need help? \nEmail **rbreen@ynteractive.com**\n\n---\n\n### How to Install & Run\n\n1. **Import the workflow** \n - n8n \u2192 **Workflows \u2192 Import from File** (or **Paste JSON**) \u2192 **Save**\n\n2. **Add your OpenAI API key** \n - n8n \u2192 **Credentials \u2192 New \u2192 OpenAI API** \n - Paste the key from <https://platform.openai.com> \n - Select this credential in both **OpenAI Chat Model** nodes\n\n3. **(Optional) Choose another model** \n - Default model: **gpt\u20114o\u2011mini** \n - Open each **OpenAI Chat Model** node \u2192 choose **GPT\u20114o**, **GPT\u20113.5\u2011turbo**, etc.\n\n4. **Test the Lead\u2011Qualifier Task Automator** \n - Click **Activate** \n - Press **Test workflow** \n - Sample transcripts run; each item returns JSON with **Name**, **Is\u202fGood\u202fLead**, **Reasoning**\n\n5. **Test the Ecommerce Chatbot** \n - Copy the **Webhook URL** from **When chat message received** \n - POST example payload: \n ```json\n { \"message\": \"Hi, do you offer discounts if I buy 120 notebooks?\" }\n ``` \n - Chatbot replies with pricing details \n - If the response contains `*****`, the **If** node sends: **\u201cYour order has been placed\u201d**\n\n---\n\n### Customization Ideas\n\n- Edit prompts to change lead\u2011qualification rules or chatbot dialogue \n- Add Google Sheets, Airtable, or database nodes to store qualified leads \n- Integrate inventory, shipping, or payment APIs \n- Adjust the **Simple Memory** node\u2019s window size to remember more conversation context\n"
},
"typeVersion": 1
}
],
"connections": {
"Simple Memory": {
"ai_memory": [
[
{
"node": "Ecommerce Chatbot",
"type": "ai_memory",
"index": 0
}
]
]
},
"Ecommerce Chatbot": {
"main": [
[
{
"node": "Test if conversation is complete",
"type": "main",
"index": 0
}
]
]
},
"Create Sample Data": {
"main": [
[
{
"node": "Lead Qualifier Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Lead Qualifier Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Ecommerce Chatbot",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Lead Qualifier Agent": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Lead Qualifier Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Ecommerce Chatbot",
"type": "main",
"index": 0
}
]
]
},
"Test if conversation is complete": {
"main": [
[
{
"node": "End the Conversation",
"type": "main",
"index": 0
}
],
[
{
"node": "Respond to User",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Create Sample Data",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApi
Pro
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About this workflow
Status: Ready for Use ✅ Note: This template is built entirely with official n8n nodes—no community‑node installation required.
Source: https://n8n.io/workflows/6656/ — original creator credit. Request a take-down →
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