Monitor AI chat interactions with Gemini 2.5 and Langfuse tracing
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: LangChain Code (legacy). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 5 nodes and runs when a chat message arrives. Along the way it connects Google Gemini Chat Model.
How it runs
Trigger: When a chat message arrives.
- AI Agent: runs an AI agent, with model: Langfuse LLM; memory: mem
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- LangChain Code (legacy) in Langfuse LLM: no direct replacement.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| LangChain Code (legacy) Langfuse LLM | No direct replacement |
Nodes used (5)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - LangChain Code
@n8n/n8n-nodes-langchain.code - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
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…