Monitor AI Chat Interactions with Gemini 2.5 and Langfuse Tracing

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

Help me set up the n8n workflow "Monitor AI Chat Interactions with Gemini 2.5 and Langfuse Tracing" (https://n8n.io/workflows/4972). It uses: AI Agent, LangChain Code, Simple Memory, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.