This workflow follows the Chainllm → Google Gemini 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 →
{
"name": "Reto_Final_Main",
"nodes": [
{
"parameters": {
"jsCode": "const body = $input.first().json;\nconst mensaje = body.messages?.[0]?.text?.body || '';\nconst telefono = body.messages?.[0]?.from || '';\nconst nombre = body.contacts?.[0]?.profile?.name || 'Cliente';\nconst mensaje_id = body.messages?.[0]?.id || '';\nconst fromMe = body.messages?.[0]?.from_me || false;\n\n// Ignorar si no hay mensaje, es del propio bot, o es mensaje de error\nif (!mensaje || !telefono || fromMe || \n mensaje.startsWith('\ud83d\udd34') || \n mensaje.startsWith('Lo sentimos') ||\n mensaje.startsWith('Hola') && mensaje.includes('ERROR')) {\n return [{ json: { ignorar: true } }];\n}\n\nreturn [{\n json: {\n mensaje,\n telefono,\n nombre,\n mensaje_id,\n timestamp: new Date().toISOString(),\n tiempo_inicio: Date.now()\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
176,
0
],
"id": "61da95aa-8b5a-4200-af70-2521a0a02e36",
"name": "Normalizar_mensaje"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "e54a98a7-d65e-4e09-8e36-a1d71b137933",
"leftValue": "={{ $json.id }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [
592,
0
],
"id": "9cdd0847-0074-4cc4-a025-0442e6c43971",
"name": "If"
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT id, nombre, es_vip \nFROM clientes \nWHERE telefono = '{{ $json.telefono }}'\nLIMIT 1;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
384,
0
],
"id": "e8e6ebeb-5541-4267-b29c-5d265d815da2",
"name": "Verificar_cliente",
"alwaysOutputData": true,
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
1024,
0
],
"id": "90eb218a-16ef-4147-90fb-a6d17b7218ac",
"name": "Merge"
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO clientes (telefono, nombre, es_vip)\nVALUES (\n '{{ $('Normalizar_mensaje').item.json.telefono }}',\n '{{ $('Normalizar_mensaje').item.json.nombre }}',\n false\n)\nRETURNING id, nombre, es_vip;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
800,
112
],
"id": "00accdc1-c9bb-487c-a7ac-029973aad176",
"name": "Registrar_cliente_default_no_vip",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT rol, mensaje, created_at\nFROM historial\nWHERE cliente_id = '{{ $json.id }}'\nORDER BY created_at ASC\nLIMIT 10;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
1232,
0
],
"id": "ef6a1d2c-58f4-4e6a-a53f-64b05ce05676",
"name": "Recuperar_historial",
"alwaysOutputData": true,
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const items = $input.all();\nconst cliente_id = $('Merge').first().json.id;\nconst mensaje_actual = $('Normalizar_mensaje').first().json.mensaje;\n\nlet historial_texto = '';\n\nif (items.length === 0 || !items[0].json.rol) {\n historial_texto = 'Sin historial previo.';\n} else {\n historial_texto = items.map(item => \n `${item.json.rol === 'user' ? 'Cliente' : 'Asistente'}: ${item.json.mensaje}`\n ).join('\\n');\n}\n\nreturn [{\n json: {\n cliente_id,\n mensaje_actual,\n historial_texto,\n nombre: $('Merge').first().json.nombre,\n es_vip: $('Merge').first().json.es_vip,\n telefono: $('Normalizar_mensaje').first().json.telefono,\n tiempo_inicio: $('Normalizar_mensaje').first().json.tiempo_inicio\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1440,
0
],
"id": "fc913a09-0483-4c28-b589-8c17b96884b1",
"name": "Formatear_historial"
},
{
"parameters": {
"promptType": "define",
"text": "Eres el supervisor de atenci\u00f3n al cliente de Inmobiliaria CBBA, Cochabamba, Bolivia.\nTu \u00fanica tarea es analizar el mensaje del cliente y decidir qu\u00e9 agente debe responder.\n\nResponde \u00daNICAMENTE con este JSON, sin texto adicional:\n{\"agente\": \"RAG\", \"razon\": \"explicaci\u00f3n breve\"}\n\nReglas de decisi\u00f3n (en orden de prioridad):\n- IGNORAR: spam, caracteres aleatorios, letras sin sentido (\"a\", \"asdf\", \"dUFVU\", \"Esadnsoye\"), n\u00fameros solos o es un mensaje que empiece con \"\ud83d\udd34\" o \"Lo sentimos\"\n- SALUDO: saludos simples sin pregunta (\"hola\", \"buenos d\u00edas\", \"gracias\", \"ok\")\n- CLASIFICADOR: quejas, reclamos, urgencias, problemas, sentimientos negativos\n- RAG: preguntas sobre propiedades, precios, zonas, alquiler, compra, venta, anticr\u00e9tico, documentos, procesos\n- En caso de duda genuina \u2192 RAG",
"needsFallback": true,
"messages": {
"messageValues": [
{
"type": "HumanMessagePromptTemplate",
"message": "=Historial previo: {{ $json.historial_texto }} Mensaje del cliente: {{ $json.mensaje_actual }}"
},
{
"message": "Eres el supervisor de atenci\u00f3n al cliente de Inmobiliaria CBBA, Cochabamba, Bolivia. Tu \u00fanica tarea es analizar el mensaje del cliente y decidir qu\u00e9 agente debe responder. Responde \u00daNICAMENTE con este JSON, sin texto adicional: {\"agente\": \"RAG\", \"razon\": \"explicaci\u00f3n breve\"} Reglas de decisi\u00f3n: - RAG: preguntas sobre propiedades, precios, zonas, alquiler, compra, venta, anticr\u00e9tico, documentos, procesos - CLASIFICADOR: quejas, reclamos, urgencias, problemas, expresiones de molestia o sentimientos negativos - SALUDO: saludos simples (\"hola\", \"buenos d\u00edas\", \"ok\"), mensajes sin pregunta concreta - IGNORAR: spam, caracteres aleatorios, mensajes sin sentido (\"dUFVUDEBFVHU\") - En caso de duda \u2192 RAG"
}
]
},
"batching": {}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
1648,
0
],
"id": "1a61113e-5094-4e85-8fa8-a0536ecc59a9",
"name": "Basic LLM Chain"
},
{
"parameters": {
"model": "llama-3.1-8b-instant",
"options": {
"temperature": 0.2
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
1584,
272
],
"id": "ab56360c-0954-4916-b157-11d405fcd2ce",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {
"temperature": 0.2
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
1776,
272
],
"id": "f54c0cf4-a106-45ab-b4fd-e6a103472f6c",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const respuesta = $input.first().json.text;\n\nlet decision;\ntry {\n const clean = respuesta.replace(/```json|```/g, '').trim();\n decision = JSON.parse(clean);\n} catch(e) {\n decision = { agente: 'RAG', razon: 'fallback por error' };\n}\n\nreturn [{\n json: {\n ...$('Formatear_historial').first().json,\n agente: decision.agente,\n razon_supervisor: decision.razon\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2000,
0
],
"id": "aac118dc-a323-4340-99a7-433ac04d460b",
"name": "Parsear_supervisor"
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"leftValue": "={{ $json.agente }}",
"rightValue": "RAG",
"operator": {
"type": "string",
"operation": "equals"
},
"id": "206986de-448c-485c-9108-6968383ef016"
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "e34de6c2-0ef1-4ec8-85bb-76f0bd959ec3",
"leftValue": "={{ $json.agente }}",
"rightValue": "CLASIFICADOR",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "573c62b0-9f9d-47ab-8fec-2e8d99d0560b",
"leftValue": "={{ $json.agente }}",
"rightValue": "SALUDO",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "6b7db33e-bdeb-43bf-acc5-d66539067661",
"leftValue": "={{ $json.agente }}",
"rightValue": "IGNORAR",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.4,
"position": [
2208,
-32
],
"id": "502805cb-be37-458a-b4a5-da4ab06a6dc9",
"name": "Switch"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "k37my59wlOiPi04y",
"mode": "list",
"cachedResultUrl": "/workflow/k37my59wlOiPi04y",
"cachedResultName": "Agente_Clasificador_final"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
2496,
-224
],
"id": "320e31a6-c394-45b3-9227-1aeedee9b1fd",
"name": "Ejecutar_Agente_Clasificador"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "6UBqCSPwybMxiOQ0",
"mode": "list",
"cachedResultUrl": "/workflow/6UBqCSPwybMxiOQ0",
"cachedResultName": "Agente_RAG_final"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
2496,
-448
],
"id": "fd20fa9e-d02a-48aa-8a11-c595e77e53ec",
"name": "Ejecutar_Agente_RAG"
},
{
"parameters": {
"updates": [
"messages"
],
"options": {}
},
"type": "n8n-nodes-base.whatsAppTrigger",
"typeVersion": 1,
"position": [
-32,
0
],
"id": "06efb759-65c9-49c1-883d-37a12cc6f98c",
"name": "WhatsApp Trigger",
"credentials": {
"whatsAppTriggerApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const nombre = $json.nombre.split(' ')[0]; // solo primer nombre\n\nreturn [{\n json: {\n ...$json,\n respuesta: `\u00a1Hola ${nombre}! \ud83d\udc4b Soy el asistente virtual de Inmobiliaria CBBA. Puedo ayudarte con informaci\u00f3n sobre propiedades en venta, alquiler o anticr\u00e9tico en Cochabamba. \u00bfEn qu\u00e9 te puedo ayudar?`\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2464,
16
],
"id": "fa423bcf-1aef-4f4a-be19-e20bb5018557",
"name": "Mensaje_de_Saludo"
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
2880,
-240
],
"id": "51a39034-cc7e-4e69-9e4e-a7fa587646a4",
"name": "Merge1"
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO historial (cliente_id, rol, mensaje)\nVALUES \n ('{{ $json.cliente_id }}', 'user', '{{ $json.mensaje_actual }}'),\n ('{{ $json.cliente_id }}', 'assistant', '{{ $json.respuesta }}');",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
3104,
-240
],
"id": "a67f315a-4cc2-496a-af33-ace0865e74d4",
"name": "Guardar_historial",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO tickets (cliente_id, mensaje_original, urgencia, sentimiento, escalado, agente_usado, telefono)\nVALUES (\n '{{ $('Merge1').item.json.cliente_id }}',\n '{{ $('Merge1').item.json.mensaje_actual }}',\n '{{ $('Merge1').item.json.urgencia ?? 'media' }}',\n '{{ $('Merge1').item.json.sentimiento ?? 'neutro' }}',\n {{ $('Merge1').item.json.escalado ?? false }},\n '{{ $('Merge1').item.json.agente_usado }}',\n '{{ $('Merge1').item.json.telefono }}'\n)\nRETURNING id;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
3312,
-240
],
"id": "6d699ee1-88e7-4126-980d-7b7a6043c93c",
"name": "Insertar_ticket",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO metricas (ticket_id, cliente_id, modelo, tokens_input, tokens_output, costo_usd, tiempo_ms, estado)\nVALUES (\n '{{ $json.ticket_id }}',\n '{{ $json.cliente_id }}',\n '{{ $json.modelo_usado }}',\n {{ $json.tokens_input }},\n {{ $json.tokens_output }},\n {{ $json.costo_usd }},\n {{ Date.now() - $json.tiempo_inicio }},\n 'exito'\n);",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
3920,
-240
],
"id": "33e24733-7b68-4151-b333-d7e9e90d0399",
"name": "Insertar_metricas",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const datos = $('Merge1').first().json;\n\nconst precios = $('Leer_precios').all().reduce((acc, item) => {\n acc[item.json.modelo] = item.json;\n return acc;\n}, {});\n\nconst precioModelo = precios['meta-llama/llama-3.1-8b-instruct'] || \n { precio_input: 0.00000005, precio_output: 0.00000008 };\n\nconst tokens_input = Math.round(\n (datos.mensaje_actual.length + datos.historial_texto.length) / 4\n);\nconst tokens_output = Math.round((datos.respuesta?.length || 0) / 4);\nconst total_tokens = tokens_input + tokens_output;\n\nconst costo_usd = (\n (tokens_input * precioModelo.precio_input) + \n (tokens_output * precioModelo.precio_output)\n).toFixed(8);\n\nconst modeloMap = {\n 'RAG': 'groq/llama-3.1-8b-instruct (fallback: gemini-2.5-flash)',\n 'CLASIFICADOR': 'groq/llama-3.1-8b-instruct (fallback: gemini-2.5-flash)',\n 'SALUDO': 'groq/llama-3.1-8b-instruct (fallback: gemini-2.5-flash)'\n};\n\nconst modelo_usado = modeloMap[datos.agente_usado] || 'groq/llama-3.1-8b-instruct (fallback: gemini-2.5-flash)';\n\nconst ticket_id = $(\"Insertar_ticket\").first().json.id;\n\nreturn [{\n json: {\n ...datos,\n tokens_input,\n tokens_output,\n total_tokens,\n costo_usd: parseFloat(costo_usd),\n modelo_usado,\n ticket_id\n }\n}];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3712,
-240
],
"id": "9a7f98a9-318e-4d5b-b1d2-5d944bf5d148",
"name": "Calcular_costo"
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT modelo, precio_input, precio_output \nFROM precios_modelos\nWHERE modelo IN (\n 'meta-llama/llama-3.1-8b-instruct',\n 'google/gemini-2.5-flash',\n 'openai/text-embedding-3-small'\n);",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.6,
"position": [
3520,
-240
],
"id": "9d1f93c9-0ef6-4541-bf49-a8a63d3276c9",
"name": "Leer_precios",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "send",
"phoneNumberId": "YOUR_PHONE_NUMBER_ID",
"recipientPhoneNumber": "YOUR_RECIPIENT_PHONE_NUMBER",
"textBody": "={{ $json.respuesta }}",
"additionalFields": {}
},
"type": "n8n-nodes-base.whatsApp",
"typeVersion": 1.1,
"position": [
2672,
16
],
"id": "d82f2425-9bf2-4192-8217-6383791e5a34",
"name": "Mensaje_saludo_inicial",
"credentials": {
"whatsAppApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "send",
"phoneNumberId": "YOUR_PHONE_NUMBER_ID",
"recipientPhoneNumber": "YOUR_RECIPIENT_PHONE_NUMBER",
"textBody": "={{ $('Calcular_costo').item.json.respuesta }}",
"additionalFields": {}
},
"type": "n8n-nodes-base.whatsApp",
"typeVersion": 1.1,
"position": [
4128,
-240
],
"id": "f17b1dc1-3841-424b-ad6b-a209cc97344f",
"name": "Enviar_mensaje_",
"credentials": {
"whatsAppApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Normalizar_mensaje": {
"main": [
[
{
"node": "Verificar_cliente",
"type": "main",
"index": 0
}
]
]
},
"Verificar_cliente": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
],
[
{
"node": "Registrar_cliente_default_no_vip",
"type": "main",
"index": 0
}
]
]
},
"Registrar_cliente_default_no_vip": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Recuperar_historial",
"type": "main",
"index": 0
}
]
]
},
"Recuperar_historial": {
"main": [
[
{
"node": "Formatear_historial",
"type": "main",
"index": 0
}
]
]
},
"Formatear_historial": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Parsear_supervisor",
"type": "main",
"index": 0
}
]
]
},
"Parsear_supervisor": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Ejecutar_Agente_RAG",
"type": "main",
"index": 0
}
],
[
{
"node": "Ejecutar_Agente_Clasificador",
"type": "main",
"index": 0
}
],
[
{
"node": "Mensaje_de_Saludo",
"type": "main",
"index": 0
}
]
]
},
"WhatsApp Trigger": {
"main": [
[
{
"node": "Normalizar_mensaje",
"type": "main",
"index": 0
}
]
]
},
"Ejecutar_Agente_Clasificador": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"Ejecutar_Agente_RAG": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Merge1": {
"main": [
[
{
"node": "Guardar_historial",
"type": "main",
"index": 0
}
]
]
},
"Guardar_historial": {
"main": [
[
{
"node": "Insertar_ticket",
"type": "main",
"index": 0
}
]
]
},
"Insertar_ticket": {
"main": [
[
{
"node": "Leer_precios",
"type": "main",
"index": 0
}
]
]
},
"Mensaje_de_Saludo": {
"main": [
[
{
"node": "Mensaje_saludo_inicial",
"type": "main",
"index": 0
}
]
]
},
"Insertar_metricas": {
"main": [
[
{
"node": "Enviar_mensaje_",
"type": "main",
"index": 0
}
]
]
},
"Calcular_costo": {
"main": [
[
{
"node": "Insertar_metricas",
"type": "main",
"index": 0
}
]
]
},
"Leer_precios": {
"main": [
[
{
"node": "Calcular_costo",
"type": "main",
"index": 0
}
]
]
},
"Enviar_mensaje_": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": false,
"timeSavedMode": "fixed",
"errorWorkflow": "Lg4ma3dxwZeqgxOJDE0ew",
"callerPolicy": "workflowsFromSameOwner"
},
"versionId": "d642e747-4009-47c3-8578-9569f74df437",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "YybIrtijZnWrFAd8b6i3C",
"tags": [
{
"updatedAt": "2026-02-27T23:49:30.093Z",
"createdAt": "2026-02-27T23:49:30.093Z",
"id": "WuxCORSN3YJltisN",
"name": "BOT"
},
{
"updatedAt": "2026-02-12T16:39:27.117Z",
"createdAt": "2026-02-12T16:39:27.117Z",
"id": "bmXRomoTBzcmjgGU",
"name": "agente ia"
},
{
"updatedAt": "2026-02-09T20:17:26.773Z",
"createdAt": "2026-02-09T20:17:26.773Z",
"id": "xjQcgYfXDDxJZ4cj",
"name": "array of objects"
}
]
}
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.
googlePalmApigroqApipostgreswhatsAppApiwhatsAppTriggerApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Reto_Final_Main. Uses postgres, chainLlm, lmChatGroq, lmChatGoogleGemini. Event-driven trigger; 24 nodes.
Source: https://github.com/sergioRancibia/n8n-automation-ai-agents-portfolio/blob/main/n8n-ai-automation-system/workflows/reto-final-main.json — original creator credit. Request a take-down →
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