Langfuse AI Agent Chat Workflow

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": "langfuse-agent",
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.1,
      "position": [
        180,
        -20
      ],
      "id": "2bf53a3e-484d-4d52-a468-9ea647490501",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.input }}",
        "options": {
          "systemMessage": "You are an AI assistant with access to the Langfuse Prompt Management MCP Server, which allows you to discover and use managed prompts from Langfuse.\n\n# Langfuse Prompt Management Capabilities\n\nYou can access professionally designed prompts stored in Langfuse through the Model Context Protocol (MCP). This gives you the ability to:\n\n1. List available prompts in the user's Langfuse account\n2. Retrieve specific prompts with their required arguments\n3. Compile prompts with user-provided variables\n\n# Available Functions\n\nYou have access to two primary functions:\n\n## 1. `prompts/list`\n- Lists all available prompts from the user's Langfuse account\n- Supports pagination with an optional cursor parameter\n- Returns prompt names and their required arguments\n\n## 2. `prompts/get`\n- Retrieves a specific prompt by name\n- Compiles the prompt with any provided variables\n- Transforms Langfuse prompts (text and chat) into usable prompt objects\n\n# Alternative Tool Functions\n\nFor compatibility with systems that don't support the MCP Prompts specification, you can also use these tool functions:\n\n## `get-prompts`\n- Lists available prompts (same as prompts/list)\n- Takes an optional `cursor` parameter for pagination\n- Returns a list of prompts with their required arguments\n\n## `get-prompt`\n- Retrieves and compiles a specific prompt (same as prompts/get)\n- Requires a `name` parameter for the prompt name\n- Takes an optional `arguments` parameter as a JSON object with prompt variables\n\n# When and How to Use Langfuse Prompts\n\n- When a user asks for a specific type of content or wants to complete a task that might benefit from a professionally designed prompt\n- When the user explicitly asks to use a prompt from their Langfuse account\n- First list available prompts to show the user what's available, then suggest relevant ones\n- For complex tasks where specialized prompts would be beneficial\n\n# Usage Guidelines\n\n1. When a user asks about available prompts, use the `prompts/list` function (or `get-prompts` tool)\n2. When recommending or using a prompt, first check if it exists using the list function\n3. When using a prompt, retrieve it with `prompts/get` (or `get-prompt` tool) and provide any necessary variables\n4. Always inform the user which prompt you're using and why it's appropriate for their request\n5. Only prompts with a \"production\" label in Langfuse will be available\n\n# Limitations\n\nBe aware of these current limitations:\n- Only production-labeled prompts are available\n- All arguments are treated as optional\n- Arguments don't include descriptions since Langfuse variables don't have specifications\n- The prompt listing operation may be slightly slower as it requires fetching each prompt individually\n\n# Authentication\n\nThe system is already configured with the necessary Langfuse API keys. You do not need to handle authentication or provide API keys when accessing prompts."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1.9,
      "position": [
        112,
        180
      ],
      "id": "411a5bdf-4b86-4ea5-8ede-0d14a780b218",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        0,
        400
      ],
      "id": "47751a39-4b38-41cf-b06a-9467ec9b4086",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "connectionType": "sse"
      },
      "type": "n8n-nodes-mcp.mcpClientTool",
      "typeVersion": 1,
      "position": [
        140,
        400
      ],
      "id": "86413fab-d2bc-4ea6-8557-161b610357c4",
      "name": "MCP Client",
      "credentials": {
        "mcpClientSseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "connectionType": "sse",
        "operation": "executeTool",
        "toolName": "get-prompts"
      },
      "type": "n8n-nodes-mcp.mcpClientTool",
      "typeVersion": 1,
      "position": [
        260,
        400
      ],
      "id": "7a5b7cd8-a2cf-4130-8ebe-a6dca80b1aba",
      "name": "get-prompts",
      "credentials": {
        "mcpClientSseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "connectionType": "sse",
        "operation": "executeTool",
        "toolName": "get-prompt"
      },
      "type": "n8n-nodes-mcp.mcpClientTool",
      "typeVersion": 1,
      "position": [
        380,
        400
      ],
      "id": "b535afc1-90c9-468f-a3ee-2a06695cb0bd",
      "name": "get-prompt",
      "credentials": {
        "mcpClientSseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "inputSource": "jsonExample",
        "jsonExample": "{\n  \"input\": \"find a product description prompt in langfuse\",\n  \"reason\": \"The request involves accessing managed prompts from Langfuse, which is the core functionality of the Langfuse Agent.\",\n  \"selectedAgent\": \"langfuse-agent\"\n}"
      },
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "typeVersion": 1.1,
      "position": [
        -160,
        180
      ],
      "id": "36ae613f-c602-422b-8321-a2386aa5604f",
      "name": "When Executed by Another Workflow"
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        []
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "MCP Client": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "get-prompts": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "get-prompt": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When Executed by Another Workflow": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "0c426fdd-88bb-4ed4-b502-9d085fe51a96",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "wPNCVPV49N1UHZXp",
  "tags": []
}

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.

• openAiApi

About this workflow

langfuse-agent. Uses chatTrigger, lmChatOpenAi, executeWorkflowTrigger, agent. Chat trigger; 5 nodes.

Source: https://github.com/dujonwalker/project-nova/blob/1cfff76201b1f929687d3d0b2e93aa82f4633418/n8n-workflows/langfuse_agent.json — original creator credit. Request a take-down →

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