AutomationFlowsAI & RAG › Mensajes De Error Final

Mensajes De Error Final

Mensajes_de_error_final. Uses errorTrigger, chainLlm, lmChatGroq, lmChatGoogleGemini. Event-driven trigger; 8 nodes.

Event trigger★★★★☆ complexityAI-powered8 nodesError TriggerChain LlmGroq ChatGoogle Gemini ChatWhatsAppPostgres
AI & RAG Trigger: Event Nodes: 8 Complexity: ★★★★☆ AI nodes: yes Added:

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 →

Download .json
{
  "name": "Mensajes_de_error_final",
  "nodes": [
    {
      "parameters": {},
      "type": "n8n-nodes-base.errorTrigger",
      "typeVersion": 1,
      "position": [
        0,
        0
      ],
      "id": "51906708-e38a-4edc-9f7b-59b368ddc56e",
      "name": "Error Trigger"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "=",
        "needsFallback": true,
        "messages": {
          "messageValues": [
            {
              "type": "HumanMessagePromptTemplate",
              "message": "=Error en el nodo: {{ $json.execution.lastNodeExecuted }}\nMensaje de error: {{ $json.execution.error.message }}\nWorkflow: {{ $json.workflow.name }}"
            },
            {
              "message": "Eres un asistente que traduce errores t\u00e9cnicos a lenguaje natural amigable. Dado un error t\u00e9cnico: Genera DOS mensajes: 1. mensaje_cliente: amigable, sin tecnicismos, menciona que el problema fue en el servicio de atenci\u00f3n, sin detalles t\u00e9cnicos 2. mensaje_tecnico: t\u00e9cnico y detallado, incluye nombre del workflow, nodo fallido y mensaje de error exacto. Responde \u00daNICAMENTE con este JSON: {   \"mensaje_cliente\": \"texto amigable\",   \"mensaje_tecnico\": \"texto t\u00e9cnico con detalles\" }"
            }
          ]
        },
        "batching": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "typeVersion": 1.9,
      "position": [
        208,
        0
      ],
      "id": "75f3ca51-e3ea-4b74-83ec-ba78b1957f32",
      "name": "Basic LLM Chain",
      "alwaysOutputData": true
    },
    {
      "parameters": {
        "model": "llama-3.1-8b-instant",
        "options": {
          "temperature": 0.2
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGroq",
      "typeVersion": 1,
      "position": [
        160,
        224
      ],
      "id": "09f34601-7db4-4ec5-9775-38766a16101e",
      "name": "Groq Chat Model",
      "credentials": {
        "groqApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "options": {
          "temperature": 0.2
        }
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "typeVersion": 1,
      "position": [
        320,
        224
      ],
      "id": "3c9b69bc-3b0f-4538-8981-92c5b6c06d87",
      "name": "Google Gemini Chat Model",
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "operation": "send",
        "phoneNumberId": "1066682589854847",
        "recipientPhoneNumber": "+59179757761",
        "textBody": "={{ $json.mensaje_cliente }}",
        "additionalFields": {}
      },
      "type": "n8n-nodes-base.whatsApp",
      "typeVersion": 1.1,
      "position": [
        768,
        0
      ],
      "id": "88519e30-a0d1-4435-a5ff-e3344f673ef1",
      "name": "Enviar_mensaje_cliente",
      "credentials": {
        "whatsAppApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "operation": "send",
        "phoneNumberId": "1066682589854847",
        "recipientPhoneNumber": "+59179757761",
        "textBody": "=\ud83d\udd34 *ERROR EN SISTEMA* \n*Workflow:* {{ $('Parsear_mensaje_de_error').item.json.workflow }}\n*Nodo:* {{ $('Parsear_mensaje_de_error').item.json.nodo_fallido }} \n*Detalle:* \n{{ $('Parsear_mensaje_de_error').item.json.mensaje_tecnico }}",
        "additionalFields": {}
      },
      "type": "n8n-nodes-base.whatsApp",
      "typeVersion": 1.1,
      "position": [
        976,
        0
      ],
      "id": "56f737e9-313d-40ae-92f7-dca715af06f1",
      "name": "Enviar_mensaje_tecnico",
      "credentials": {
        "whatsAppApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO metricas (cliente_id, modelo, tiempo_ms, estado)\nVALUES (\n  NULL,\n  'sistema',\n  0,\n  'error'\n);",
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        1184,
        0
      ],
      "id": "dbbbf3c5-1a4f-43de-8416-a0090e239238",
      "name": "Metricas_error",
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsCode": "const respuesta = $input.first().json.text;\n\nlet mensajes;\ntry {\n  const clean = respuesta.replace(/```json|```/g, '').trim();\n  mensajes = JSON.parse(clean);\n} catch(e) {\n  mensajes = {\n    mensaje_cliente: 'Lo sentimos, estamos experimentando dificultades t\u00e9cnicas. Por favor intenta m\u00e1s tarde.',\n    mensaje_tecnico: `Error no parseado: ${respuesta}`\n  };\n}\n\nreturn [{\n  json: {\n    mensaje_cliente: mensajes.mensaje_cliente,\n    mensaje_tecnico: mensajes.mensaje_tecnico,\n    nodo_fallido: $('Error Trigger').first().json.execution.lastNodeExecuted,\n    workflow: $('Error Trigger').first().json.workflow.name\n  }\n}];"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        560,
        0
      ],
      "id": "7ed434b9-a672-4c9f-afa1-5ba65ea14312",
      "name": "Parsear_mensaje_de_error"
    }
  ],
  "connections": {
    "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
          }
        ]
      ]
    },
    "Error Trigger": {
      "main": [
        [
          {
            "node": "Basic LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic LLM Chain": {
      "main": [
        [
          {
            "node": "Parsear_mensaje_de_error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Enviar_mensaje_cliente": {
      "main": [
        [
          {
            "node": "Enviar_mensaje_tecnico",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Enviar_mensaje_tecnico": {
      "main": [
        [
          {
            "node": "Metricas_error",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parsear_mensaje_de_error": {
      "main": [
        [
          {
            "node": "Enviar_mensaje_cliente",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "versionId": "58f65101-e1e8-4a5b-a05b-b11d3af319ea",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "Lg4ma3dxwZeqgxOJDE0ew",
  "tags": [
    {
      "updatedAt": "2026-02-12T16:39:27.117Z",
      "createdAt": "2026-02-12T16:39:27.117Z",
      "id": "bmXRomoTBzcmjgGU",
      "name": "agente ia"
    },
    {
      "updatedAt": "2026-04-08T22:16:50.692Z",
      "createdAt": "2026-04-08T22:16:50.692Z",
      "id": "u83OQwECnGkjvQUP",
      "name": "error"
    }
  ]
}

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About this workflow

Mensajes_de_error_final. Uses errorTrigger, chainLlm, lmChatGroq, lmChatGoogleGemini. Event-driven trigger; 8 nodes.

Source: https://github.com/sergioRancibia/n8n-automation-ai-agents-portfolio/blob/main/n8n-ai-automation-system/workflows/manejo-errores.json — original creator credit. Request a take-down →

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