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Monitor AI chat interactions with Gemini 2.5 and Langfuse tracing

n8nn8n5 modulesv1.0
OpenAIGemini

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow is a simple AI Agent that connects to Langfuse so send tracing data to help monitor LLM interactions. The main idea is to create a custom LLM model that allows the configuration of callbacks, which are used by langchain to connect applications such Langfuse. This is achieves by using the "langchain code" node: - Connects a LLM model sub-node to obtain the model variable

At a glance

Monitor AI chat interactions with Gemini 2.5 and Langfuse tracing is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects OpenAI, Gemini. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
OpenAI, Gemini
Modules
5
Price
Free
Version
v1.0
Monitor AI chat interactions with Gemini 2.5 and Langfuse tracing workflow diagram

About this workflow

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow is a simple AI Agent that connects to Langfuse so send tracing data to help monitor LLM interactions. The main idea is to create a custom LLM model that allows the configuration of callbacks, which are used by langchain to connect applications such Langfuse. This is achieves by using the "langchain code" node: - Connects a LLM model sub-node to obtain the model variables (model name, temp and provider) - Creates a generic langchain initChatModel with the model parameters. - Return the LLM to be used by the AI Agent node. 📋 Prerequisites - Langfuse instance (cloud or self-hosted) with API credentials - LLM API key (Gemini, OpenAI, Anthropic, etc.) - n8n >= 1.98.0 (required for LangChain code node support in AI Agent) ⚙️ Setup 1. Add these to your n8n instance: Alternative: Configure these directly in the LangChain code node if you prefer not to use environment variables 2. Import the workflow JSON 3. Connect your preferred LLM model node 4. Send a test message to verify tracing appears in Langfuse

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

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