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 →
{
"name": "curso-orig",
"nodes": [
{
"parameters": {
"public": true,
"initialMessages": "Ol\u00e1! \ud83d\udc4b\nComo posso te ajudar?",
"options": {
"title": "Ola \ud83d\udc4b"
}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
-540,
80
],
"id": "acfb2be3-6023-49f1-954b-fded53584b82",
"name": "When chat message received"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Edit Fields').item.json.Mensagem }}",
"options": {
"systemMessage": "Voc\u00ea \u00e9 um agente de suporte, seja educado, engra\u00e7ao e utilize emojis."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.8,
"position": [
700,
0
],
"id": "0cd51f50-9506-4d0b-ba8f-7ac6eccbd329",
"name": "AI Agent1"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
600,
220
],
"id": "7b78407a-c4e3-492f-8285-9a88a0284992",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "51463003-beb3-42ae-a4ba-66a5436e0501",
"name": "IdConversa",
"value": "={{ $json.sessionId }}",
"type": "string"
},
{
"id": "2d64eb86-4cf0-46a6-a502-0c308e521f32",
"name": "Mensagem",
"value": "={{ $json.chatInput }}",
"type": "string"
},
{
"id": "8d36b1be-7bc3-4c8a-a765-1eacee3923eb",
"name": "Data",
"value": "={{ $now }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
220,
0
],
"id": "b509f982-91d1-4097-87a5-74e8244dfb87",
"name": "Edit Fields"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('Edit Fields').item.json.IdConversa }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
740,
220
],
"id": "d8abb519-9882-4e7a-bf54-175e287386ee",
"name": "Simple Memory"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
1020,
220
],
"id": "97338d06-c42e-49e3-9322-60f469a259e8",
"name": "Calculator"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"typeVersion": 1,
"position": [
880,
220
],
"id": "8999ce70-ace3-4492-94fd-f1ac2d97cc7d",
"name": "Wikipedia"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1100,
0
],
"id": "b68daa68-6ab4-44e7-8ae1-32f0f6cc8ddb",
"name": "No Operation, do nothing"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Edit Fields1').item.json.Mensagem }}",
"options": {
"systemMessage": "Voc\u00ea \u00e9 um agente de suporte, seja educado, engra\u00e7ao e utilize emojis."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.8,
"position": [
720,
840
],
"id": "931cf173-665b-4987-9dcf-db8f5a7b8a6e",
"name": "AI Agent"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
620,
1060
],
"id": "5bc643b7-3fd4-4401-b9ef-fab7fdabd3d8",
"name": "Groq Chat Model1",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "51463003-beb3-42ae-a4ba-66a5436e0501",
"name": "IdConversa",
"value": "={{ $('Webhook').item.json.body.data.key.remoteJid }}",
"type": "string"
},
{
"id": "2d64eb86-4cf0-46a6-a502-0c308e521f32",
"name": "Mensagem",
"value": "={{ $('Webhook').item.json.body.data.message.conversation }}",
"type": "string"
},
{
"id": "4d5885bf-d1db-49af-86fb-22b8a5fe81c7",
"name": "Nome",
"value": "={{ $('Webhook').item.json.body.data.pushName }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
280,
840
],
"id": "2f79b419-d3b5-405e-b685-8a6bd08b7998",
"name": "Edit Fields1"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('Edit Fields1').item.json.IdConversa }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
760,
1060
],
"id": "7017852a-c363-447f-a42e-4997ceff730b",
"name": "Simple Memory1"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
1040,
1060
],
"id": "ddb99802-b762-4d7e-8f76-100c1289683d",
"name": "Calculator1"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"typeVersion": 1,
"position": [
900,
1060
],
"id": "43bbe16f-b44a-4d28-a9c3-c7238095f52e",
"name": "Wikipedia1"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1320,
840
],
"id": "a22e1c09-a4c7-4269-9835-52a284aeac3f",
"name": "No Operation, do nothing1"
},
{
"parameters": {
"httpMethod": "POST",
"path": "receber-mensagem-whatsapp",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-140,
840
],
"id": "45347e95-ed02-4a85-ba81-7140b4e872e8",
"name": "Webhook"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "3e159d22-1e35-4ac6-b7c4-23dcd61b2c65",
"leftValue": "={{ $json.body.isGroup }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
}
},
{
"id": "b3e67eed-ee63-4f85-9e8c-31cb3c84dea5",
"leftValue": "={{ $json.body.isNewsletter }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
}
},
{
"id": "6ee1e0b8-3aa2-4964-aecd-5c41f7417f56",
"leftValue": "={{ $json.body.fromApi }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
}
},
{
"id": "2288f863-9d64-4a5b-8414-6dc359375d0e",
"leftValue": "={{ $json.body.broadcast }}",
"rightValue": "",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
60,
840
],
"id": "f3384f37-88fc-42d4-8d89-fbc1fb3f67a6",
"name": "If"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
280,
1060
],
"id": "213ee3ad-2df0-4a98-a58d-a2a9018e5ae7",
"name": "No Operation, do nothing2"
},
{
"parameters": {
"url": "https://server.senaia.uk/api/v0/senaia",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "phone",
"value": "5511995009969"
},
{
"name": "message",
"value": "Welcome to *Z-API*"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1080,
840
],
"id": "ed2f17fe-d2a7-4741-b851-ae62e100c234",
"name": "HTTP Request"
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE",
"mode": "list",
"cachedResultName": "CursoN8NGratuito-Tutorial#1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Case1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"idConversa": "={{ $json.IdConversa }}",
"Mensagem": "={{ $json.Mensagem }}",
"Data": "={{ $json.Data }}"
},
"matchingColumns": [],
"schema": [
{
"id": "idConversa",
"displayName": "idConversa",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Mensagem",
"displayName": "Mensagem",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Data",
"displayName": "Data",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
460,
0
],
"id": "e45d66a4-12ae-4bf6-8e82-beb7aa651258",
"name": "Append row in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "appendOrUpdate",
"documentId": {
"__rl": true,
"value": "1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE",
"mode": "list",
"cachedResultName": "CursoN8NGratuito-Tutorial#1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE/edit?usp=drivesdk"
},
"sheetName": {
"__rl": true,
"value": 1507862667,
"mode": "list",
"cachedResultName": "Case2",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1fhsa6tUsbsIcK6Ub0wHkXTdGFmluMYrQaSAgyvG-BrE/edit#gid=1507862667"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"IdConversa": "={{ $json.IdConversa }}",
"Mensagem": "={{ $json.Mensagem }}",
"Nome": "={{ $json.Nome }}"
},
"matchingColumns": [
"IdConversa"
],
"schema": [
{
"id": "IdConversa",
"displayName": "IdConversa",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Mensagem",
"displayName": "Mensagem",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Nome",
"displayName": "Nome",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
480,
840
],
"id": "8a9d4b74-5c44-455d-8480-fa95db9e4eef",
"name": "Append or update row in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"AI Agent1": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Append row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent1",
"type": "ai_memory",
"index": 0
}
]
]
},
"Calculator": {
"ai_tool": [
[
{
"node": "AI Agent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"Wikipedia": {
"ai_tool": [
[
{
"node": "AI Agent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Append or update row in sheet",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory1": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Calculator1": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Wikipedia1": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing2",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "No Operation, do nothing1",
"type": "main",
"index": 0
}
]
]
},
"Append row in sheet": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
]
]
},
"Append or update row in sheet": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "2cee566e-9a82-4292-af65-9296da53e6e9",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "SzdNXAuhuwumljvT",
"tags": [
{
"createdAt": "2025-06-30T01:10:28.185Z",
"updatedAt": "2025-06-30T01:10:28.185Z",
"id": "MnjNIW7kUF7UYkxw",
"name": "NoCode StartUp"
}
]
}
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.
googleSheetsOAuth2ApigroqApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
curso-orig. Uses chatTrigger, agent, lmChatGroq, memoryBufferWindow. Chat trigger; 21 nodes.
Source: https://github.com/senaiapy/IA/blob/dee2e863a92473b40c171ee414b750d4a652f9ce/Templates/N8N/curso_orig.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
teste. Uses chatTrigger, agent, lmChatGroq, memoryBufferWindow. Chat trigger; 24 nodes.
Chat Trigger, Agent, Groq Chat +7
pix-zap. Uses chatTrigger, agent, toolCalculator, toolWikipedia. Chat trigger; 21 nodes.
Chat Trigger, Agent, Tool Calculator +7
Case 1. Uses chatTrigger, googleSheets, agent, lmChatGroq. Chat trigger; 9 nodes.
Chat Trigger, Google Sheets, Agent +4
Aura - portifólio. Uses chatTrigger, googleSheets, lmChatGroq, agent. Chat trigger; 8 nodes.
Chat Trigger, Google Sheets, Groq Chat +3
This workflow provides a chat-based research assistant powered by Google Gemini that can look up facts on Wikipedia, do calculations, and remember context, while also tagging each user question and lo
Chat Trigger, Agent, Google Gemini Chat +5