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": "pix-zap",
"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": [
-1360,
-880
],
"id": "d2470e69-c95c-41f2-ab18-35b0e3179cac",
"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": [
-320,
-900
],
"id": "a1d1f74f-2cad-47db-9570-45ab2c632997",
"name": "AI Agent1"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "51463003-beb3-42ae-a4ba-66a5436e0501",
"name": "IdConversa",
"value": "={{ $json.body.data.key.remoteJid }}",
"type": "string"
},
{
"id": "2d64eb86-4cf0-46a6-a502-0c308e521f32",
"name": "Mensagem",
"value": "={{ $json.body.data.message.conversation }}",
"type": "string"
},
{
"id": "0baaea15-4b18-4111-aa36-2538b4aaf899",
"name": "Data",
"value": "={{ $now }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-800,
-900
],
"id": "1243b655-a289-489d-83b8-92e0edd64e40",
"name": "Edit Fields"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
20,
-680
],
"id": "870fda20-37ec-466e-a811-84d4258d3b3e",
"name": "Calculator"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"typeVersion": 1,
"position": [
-140,
-680
],
"id": "f63c503f-d931-4270-8781-aa8b45fc0eba",
"name": "Wikipedia"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
100,
-900
],
"id": "5a2c6e64-a94a-4ba1-b6d8-59fc6d2f9df9",
"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": [
-300,
-60
],
"id": "bd402436-563d-48d9-800e-af9ee933676c",
"name": "AI Agent"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "51463003-beb3-42ae-a4ba-66a5436e0501",
"name": "IdConversa",
"value": "={{ $('Webhook1').item.json.body.phone }}",
"type": "string"
},
{
"id": "2d64eb86-4cf0-46a6-a502-0c308e521f32",
"name": "Mensagem",
"value": "={{ $('Webhook1').item.json.body.text.message }}",
"type": "string"
},
{
"id": "4d5885bf-d1db-49af-86fb-22b8a5fe81c7",
"name": "Nome",
"value": "={{ $('Webhook1').item.json.body.chatName }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-740,
-60
],
"id": "a78b07f5-cd54-48a9-96dd-da91e17253f2",
"name": "Edit Fields1"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "={{ $('Edit Fields1').item.json.IdConversa }}"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-260,
180
],
"id": "7afb5322-004e-49ff-8c25-327382e9ddde",
"name": "Simple Memory1"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
40,
180
],
"id": "a72bef90-faee-4876-bed1-2aed54afc438",
"name": "Calculator1"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolWikipedia",
"typeVersion": 1,
"position": [
-120,
180
],
"id": "aae8b9c0-1040-41bf-8c32-80404509a08f",
"name": "Wikipedia1"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
320,
-60
],
"id": "6cc0e499-fce0-4bf1-b3af-c84d00dc508a",
"name": "No Operation, do nothing1"
},
{
"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": [
-960,
-60
],
"id": "712e4109-a3d6-44ce-b7e8-f2f1f58ee096",
"name": "If"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
-740,
180
],
"id": "5b295ab5-fb79-4254-862d-7e14736d7692",
"name": "No Operation, do nothing2"
},
{
"parameters": {
"method": "POST",
"url": "https://api.z-api.io/instances/SUA_INSTANCIA/token/SEU_TOKEN/send-text",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "client-token",
"value": "{{security-token}}"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "phone",
"value": "5511999998888"
},
{
"name": "message",
"value": "Welcome to *Z-API*"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
80,
-60
],
"id": "e74be8bd-18eb-4536-875c-f899066b12d1",
"name": "HTTP Request"
},
{
"parameters": {
"httpMethod": "POST",
"path": "receber-mensagem-whatsapp",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-1240,
-320
],
"id": "8fbda4a6-b713-4e3a-a028-caa1e9ce75a8",
"name": "Webhook1"
},
{
"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": "Case 1",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1ZIyZrOkvoxyptGpg0f4Km1FOPQNkEtliXr651pFQyuA/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Mensagem": "={{ $json.Mensagem }}",
"Data": "={{ $json.Data }}",
"idConversa": "={{ $json.IdConversa }}"
},
"matchingColumns": [],
"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": "Data",
"displayName": "Data",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
-560,
-900
],
"id": "a9a89fb1-5cb2-462f-9639-33c4cdeb2bf8",
"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": "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.Nome }}"
},
"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": [
-540,
-60
],
"id": "2b8d0be4-c3a7-42c8-8854-49ef814d2deb",
"name": "Append or update row in sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "messages-api",
"instanceName": "n8n",
"remoteJid": "595993547294",
"messageText": "={{ $json.output }}",
"options_message": {}
},
"type": "n8n-nodes-evolution-api.evolutionApi",
"typeVersion": 1,
"position": [
400,
-900
],
"id": "dcd05c82-4f64-467a-9027-24d6260e1c46",
"name": "Enviar texto",
"credentials": {
"evolutionApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
-400,
180
],
"id": "9898ed8b-9de8-4480-bb8c-44850b7e03f0",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
-420,
-680
],
"id": "56f4397a-9ebc-48da-a2d1-01630869a795",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When chat message received": {
"main": [
[]
]
},
"AI Agent1": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Append row in sheet",
"type": "main",
"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
}
]
]
},
"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
}
]
]
},
"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
}
]
]
},
"Webhook1": {
"main": [
[
{
"node": "Edit Fields",
"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
}
]
]
},
"No Operation, do nothing": {
"main": [
[
{
"node": "Enviar texto",
"type": "main",
"index": 0
}
]
]
},
"Enviar texto": {
"main": [
[]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "c59c8459-e2e6-4a37-a451-be05b53ea6e1",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "537IKsBWq5ajy4Bu",
"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.
evolutionApigooglePalmApigoogleSheetsOAuth2ApigroqApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow empowers you to interact with an AI agent via chat for instant answers on queries involving facts or calculations, saving time on research and computations without switching apps. It's ideal for students, researchers, or professionals needing quick, reliable insights during conversations. The key step chains a chat trigger to an AI agent that dynamically calls Wikipedia for factual data and a calculator tool for precise maths, delivering tailored responses seamlessly.
Use this when handling ad-hoc questions in real-time chats that blend knowledge lookup with numerical solving, such as verifying historical dates while computing related statistics. Avoid it for complex, multi-step analyses requiring extensive data processing or non-English Wikipedia sources. Common variations include adding HTTP requests for live web data or expanding the memory buffer to maintain longer conversation context.
About this workflow
pix-zap. Uses chatTrigger, agent, toolCalculator, toolWikipedia. Chat trigger; 21 nodes.
Source: https://github.com/senaiapy/IA/blob/dee2e863a92473b40c171ee414b750d4a652f9ce/Templates/N8N/pix_zap.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
⚠️ IMPORTANT: This template requires self-hosted n8n hosting due to the use of community nodes (MCP tools). It will not work on n8n Cloud. Make sure you have access to a self-hosted n8n instance befor
Chat Trigger, Memory Buffer Window, Google Gemini Chat +4
Agente de NF-3. Uses chatTrigger, compression, agent, memoryBufferWindow. Chat trigger; 12 nodes.
Chat Trigger, Compression, Agent +5
Case 1. Uses chatTrigger, googleSheets, agent, lmChatGroq. Chat trigger; 9 nodes.
Chat Trigger, Google Sheets, Agent +4
Who is this workflow for? This workflow is designed for SEO analysts, content creators, marketing agencies, and developers who need to index a website and then interact with its content as if it were
Agent, OpenAI Chat, Memory Buffer Window +10