---
title: "Workflow to n8n Workflow to Ai Agent Chat"
platform: "Promptally"
canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-agent-chat"
modality: "WORKFLOW"
category: "n8n Automation Blueprints"
compatible_models: [Universal / Model Agnostic]
access_tier: "Free Public Artifact (No Auth Required)"
license: "MIT"
---

# Workflow to n8n Workflow to Ai Agent Chat

**Summary:** Workflow to n8n Workflow to Ai Agent Chat is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to Ai Agent Chat. Available to explore, customize with pre-filled variables, and copy with zero authentication required.

## Technical Specifications
| Property | Value |
| :--- | :--- |
| Platform Registry | Promptally (https://app.promptally.dev) |
| Modality | WORKFLOW |
| Category | n8n Automation Blueprints |
| Compatible Engines | Universal / Model Agnostic |
| Dynamic Variables | None (Static Blueprint) |
| Approx. Token Length | 674 |
| Access Tier | Free Public Artifact (No Auth Required) |
| License | MIT |

### Pre-Filled Template & Production Source

```json
{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "939bb301-5e12-4d5b-9a56-61a61cca5f0d",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        640,
        460
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8gccIjcuf3gvaoEr",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "372777e8-ce90-4dea-befc-ac1b2eb4729f",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        780,
        460
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "7a8f0ad1-1c00-4043-b3e5-c88521140a1a",
      "name": "SerpAPI",
      "type": "@n8n/n8n-nodes-langchain.toolSerpApi",
      "position": [
        920,
        460
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "serpApi": {
          "id": "aJCKjxx6U3K7ydDe",
          "name": "SerpAPI account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a7624108-e3da-4193-a625-887314216b8b",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        360,
        240
      ],
      "webhookId": "53c136fe-3e77-4709-a143-fe82746dd8b6",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "6b8b7de8-fe3f-43b5-97ce-a52a9e44eb5e",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        680,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.6
    }
  ],
  "pinData": {},
  "connections": {
    "SerpAPI": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
```

## Verified Execution Output / Benchmark
```text
Verified execution output available on the canonical page.
```

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