This workflow follows the Agent → OpenAI Chat 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 →
{
"updatedAt": "2026-01-09T23:29:50.636Z",
"createdAt": "2026-01-08T22:54:43.062Z",
"id": "DqqdIlm1EQ5zrDAmf6vUr",
"name": "Chat Question Suggestions",
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "chat_suggestions_v1",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
0,
0
],
"id": "081b9f9f-001e-4258-b1bd-f9cdfa055a86",
"name": "Webhook"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "7bdf57f2-c6ca-43ca-a584-60495cf70e2d",
"name": "book_id",
"value": "={{ $json.body.book_id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
224,
0
],
"id": "601249ff-3af0-4eb2-942b-2c689bf9d9ec",
"name": "Edit Fields"
},
{
"parameters": {
"promptType": "define",
"text": "=book title: {{ $json.title }}\n\nsummary: {{ $json.summary }}",
"options": {
"systemMessage": "You are an executive thinking partner.\n\nYour only input is a book title and summary.\n\nBased solely on the implications, themes, and promises suggested by the title and summary, generate 2\u20133 sharp questions that a high-performing individual would naturally ask. \n\nAssume the reader is:\n- Experienced\n- Time-constrained\n- Focused on leverage, clarity, and outcomes\n\nYour questions must:\n- Be short, direct, and high-signal\n\n\nDo NOT:\n- Explain the questions\n- Add preamble or commentary\n\nOutput format:\nReturn ONLY a JSON array of strings.\n\nExample output:\n[\n \"What is meant by [key phrase in book title]?\",\n \"What are the key takeaways from this book?\",\n \"Where could I apply the principles to my business?\"\n]\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
720,
0
],
"id": "636964a3-919b-4df1-901e-bc84cae75f1f",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
592,
272
],
"id": "de93df62-5b78-4bbd-b32f-dd19c06a3f0b",
"name": "OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [
1072,
0
],
"id": "18a6401a-7273-4240-b00a-bd9d7043a7dd",
"name": "Respond to Webhook"
},
{
"parameters": {
"operation": "get",
"tableId": "books",
"filters": {
"conditions": [
{
"keyName": "id",
"keyValue": "={{ $json.book_id }}"
}
]
}
},
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
432,
0
],
"id": "26b87b21-9b21-4899-8694-8765ba5695f6",
"name": "Get a row",
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Get a row",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Get a row": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"availableInMCP": false
},
"staticData": null,
"meta": {
"templateCredsSetupCompleted": true
},
"versionId": "0b13d81a-ddb4-491b-951c-3618cd333ada",
"activeVersionId": "0b13d81a-ddb4-491b-951c-3618cd333ada",
"triggerCount": 1,
"shared": [
{
"updatedAt": "2026-01-08T22:54:43.070Z",
"createdAt": "2026-01-08T22:54:43.070Z",
"role": "workflow:owner",
"workflowId": "DqqdIlm1EQ5zrDAmf6vUr",
"projectId": "B7QJE85HA2Vij1it"
}
],
"activeVersion": {
"updatedAt": "2026-01-09T23:29:53.000Z",
"createdAt": "2026-01-09T23:29:50.637Z",
"versionId": "0b13d81a-ddb4-491b-951c-3618cd333ada",
"workflowId": "DqqdIlm1EQ5zrDAmf6vUr",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "chat_suggestions_v1",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2.1,
"position": [
0,
0
],
"id": "081b9f9f-001e-4258-b1bd-f9cdfa055a86",
"name": "Webhook",
"webhookId": "d2e1a603-b459-4324-86c1-69c2c3d75c2d"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "7bdf57f2-c6ca-43ca-a584-60495cf70e2d",
"name": "book_id",
"value": "={{ $json.body.book_id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
224,
0
],
"id": "601249ff-3af0-4eb2-942b-2c689bf9d9ec",
"name": "Edit Fields"
},
{
"parameters": {
"promptType": "define",
"text": "=book title: {{ $json.title }}\n\nsummary: {{ $json.summary }}",
"options": {
"systemMessage": "You are an executive thinking partner.\n\nYour only input is a book title and summary.\n\nBased solely on the implications, themes, and promises suggested by the title and summary, generate 2\u20133 sharp questions that a high-performing individual would naturally ask. \n\nAssume the reader is:\n- Experienced\n- Time-constrained\n- Focused on leverage, clarity, and outcomes\n\nYour questions must:\n- Be short, direct, and high-signal\n\n\nDo NOT:\n- Explain the questions\n- Add preamble or commentary\n\nOutput format:\nReturn ONLY a JSON array of strings.\n\nExample output:\n[\n \"What is meant by [key phrase in book title]?\",\n \"What are the key takeaways from this book?\",\n \"Where could I apply the principles to my business?\"\n]\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
720,
0
],
"id": "636964a3-919b-4df1-901e-bc84cae75f1f",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
592,
272
],
"id": "de93df62-5b78-4bbd-b32f-dd19c06a3f0b",
"name": "OpenAI",
"credentials": {
"openAiApi": {
"id": "BRRf66J5aSwt4UDP",
"name": "OpenAi account"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.5,
"position": [
1072,
0
],
"id": "18a6401a-7273-4240-b00a-bd9d7043a7dd",
"name": "Respond to Webhook"
},
{
"parameters": {
"operation": "get",
"tableId": "books",
"filters": {
"conditions": [
{
"keyName": "id",
"keyValue": "={{ $json.book_id }}"
}
]
}
},
"type": "n8n-nodes-base.supabase",
"typeVersion": 1,
"position": [
432,
0
],
"id": "26b87b21-9b21-4899-8694-8765ba5695f6",
"name": "Get a row",
"credentials": {
"supabaseApi": {
"id": "fdzgJDGuPA2JozKn",
"name": "Supabase account"
}
}
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Get a row",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Get a row": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
},
"authors": "Gordan Kljajic",
"name": "Version 0b13d81a",
"description": "",
"autosaved": false
},
"tags": []
}
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.
openAiApisupabaseApi
Pro
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About this workflow
Chat Question Suggestions. Uses agent, lmChatOpenAi, supabase. Webhook trigger; 6 nodes.
Source: https://github.com/adamhaley/megyk-automations/blob/main/workflows/Chat_Question_Suggestions.json — original creator credit. Request a take-down →
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