This workflow follows the Agent → Airtable 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 →
{
"active": false,
"activeVersion": null,
"activeVersionId": null,
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Code in JavaScript1",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript1": {
"main": [
[
{
"node": "Code in JavaScript2",
"type": "main",
"index": 0
}
]
]
},
"Code in JavaScript2": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Basic LLM Chain1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Basic LLM Chain1",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain1": {
"main": [
[
{
"node": "Message a model",
"type": "main",
"index": 0
}
]
]
},
"Message a model": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Message a model1",
"type": "main",
"index": 0
}
]
]
},
"Message a model1": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Limit": {
"main": [
[
{
"node": "Search records",
"type": "main",
"index": 0
}
]
]
},
"Search records": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
}
},
"createdAt": "2025-10-23T22:17:16.563Z",
"id": "tFXRsvO2ijW5MFZa",
"isArchived": true,
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Ejemplo",
"nodes": [
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
-176,
16
],
"id": "7220348a-549b-4baf-9101-c04ee167930b",
"name": "When chat message received"
},
{
"parameters": {
"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-32,
-96
],
"id": "1ebcd616-f2de-4f0c-ad1b-a92b222b3d16",
"name": "Code in JavaScript"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
128,
0
],
"id": "ce09277c-5e53-450c-94aa-dfa79cafb217",
"name": "HTTP Request"
},
{
"parameters": {
"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
272,
-96
],
"id": "336ca915-7aa9-45db-907d-0334b6f1770f",
"name": "Code in JavaScript1"
},
{
"parameters": {
"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
432,
16
],
"id": "b66d6105-64cd-4624-a851-5dd04e7a5865",
"name": "Code in JavaScript2"
},
{
"parameters": {
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
640,
16
],
"id": "1699824c-eb15-46ad-8e9c-9d5b6bd8f39e",
"name": "Basic LLM Chain"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o-mini",
"mode": "list",
"cachedResultName": "gpt-4o-mini"
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
960,
288
],
"id": "94ab5cfd-4d43-456c-af40-04a68ea09d78",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1120,
32
],
"id": "a52716e4-b3a6-4536-9afb-9ff9d1a0dab2",
"name": "Basic LLM Chain1"
},
{
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": ""
},
"responses": {
"values": [
{}
]
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 2.1,
"position": [
1472,
32
],
"id": "a074fdc6-6c64-4e04-a2a9-c653c08beda9",
"name": "Message a model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
1824,
32
],
"id": "bd659f98-1bd8-4a3d-bab9-dae77e353998",
"name": "Split Out"
},
{
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": ""
},
"responses": {
"values": [
{}
]
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 2.1,
"position": [
2032,
32
],
"id": "e569ce73-a375-4ab0-a8bf-1ae9bc0b2e2a",
"name": "Message a model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"leftValue": "",
"rightValue": "",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "db066af7-3b32-4f3b-8643-8ca55c9e4d77"
}
],
"combinator": "and"
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.4,
"position": [
2384,
32
],
"id": "a98081a8-821b-4149-a1d7-2a90a24d0ee8",
"name": "Switch"
},
{
"parameters": {},
"type": "n8n-nodes-base.limit",
"typeVersion": 1,
"position": [
2544,
-80
],
"id": "9727278b-05c1-4964-9027-20179ee3beb1",
"name": "Limit"
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"mode": "list",
"value": ""
},
"table": {
"__rl": true,
"mode": "list",
"value": ""
},
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
2704,
-160
],
"id": "35e8ba76-e9c0-4234-bed3-40222275bdb6",
"name": "Search records",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"fieldsToAggregate": {
"fieldToAggregate": [
{}
]
},
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
2848,
-96
],
"id": "5260b748-8688-478f-9684-741f55fc8d13",
"name": "Aggregate"
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
2720,
144
],
"id": "ef2b0e8b-8841-42e2-9d77-64140f73d12b",
"name": "Merge"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
2928,
144
],
"id": "93e2af73-1a34-445b-8c88-69a943e23d23",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o",
"mode": "list",
"cachedResultName": "gpt-4o"
},
"builtInTools": {},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
2880,
368
],
"id": "ab1760f5-c495-4abd-9384-268a39b7b7c9",
"name": "OpenAI Chat Model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
3008,
384
],
"id": "89a122e1-2278-476b-b6b2-1368fbc9c8e0",
"name": "Simple Memory"
}
],
"settings": {
"executionOrder": "v1"
},
"shared": [
{
"updatedAt": "2025-10-23T22:17:16.574Z",
"createdAt": "2025-10-23T22:17:16.574Z",
"role": "workflow:owner",
"workflowId": "tFXRsvO2ijW5MFZa",
"projectId": "u2lnFFYk1yGEaOcS"
}
],
"staticData": null,
"tags": [],
"triggerCount": 0,
"updatedAt": "2026-03-18T21:15:57.000Z",
"versionId": "f209b61a-930c-4cec-ac70-790ddd3973f7"
}
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.
airtableTokenApiopenAiApi
Pro
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About this workflow
Ejemplo. Uses chatTrigger, httpRequest, chainLlm, lmChatOpenAi. Chat trigger; 19 nodes.
Source: https://github.com/silvasJu/SERVER/blob/c0acc8daf66b5f007efced5eeeb45bb6125030aa/workflows/Ejemplo.json — original creator credit. Request a take-down →
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