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n8n-nodes-llm-langfuse

v0.1.3

Published

Langfuse integration for n8n

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

diwbergdiwberg

Keywords

n8n-community-node-packagelangfusellmopenaigooglegroqobservability

Readme

n8n-nodes-llm-langfuse

This is an n8n community node that provides custom LLM Chat Models with built-in Langfuse observability. It allows you to easily trace your LLM executions, monitor token usage, and debug complex chains directly from your n8n workflows.

Features

  • Built-in Langfuse Tracing: Automatically sends traces to Langfuse for every generation.
  • Multi-Provider Support:
    • OpenAI: Chat with GPT-4o, GPT-4-turbo, and other OpenAI models.
    • Groq: Ultra-fast inference with Llama 3, Mixtral, and Gemma models.
    • Google Gemini: Use Gemini 1.5 Pro, Flash, and other Google models.
  • Advanced Configuration:
    • Control Temperature, Top P, Frequency Penalty, Presence Penalty, Max Tokens, and more.
    • Pass custom Langfuse Metadata, Session IDs, and User IDs for better trace organization.

Installation

Follow the installation guide in the n8n community nodes documentation.

  1. In your n8n instance, go to Settings > Community Nodes.
  2. Select Install.
  3. Enter n8n-nodes-llm-langfuse.

Credentials

You will need to set up credentials for both the LLM provider and Langfuse.

Langfuse Credentials

Required for all nodes in this package.

  • Public Key: Your Langfuse project public key.
  • Secret Key: Your Langfuse project secret key.
  • Base URL: The Langfuse API URL (e.g., https://cloud.langfuse.com or your self-hosted instance).

Provider Credentials

  • OpenAI: Your OpenAI API Key.
  • Groq: Your Groq Cloud API Key.
  • Google Gemini: Your Google AI Studio API Key.

Usage

These nodes act as Chat Models within n8n's AI ecosystem. You can use them in any LangChain chain or agent that accepts a Language Model.

  1. Add an AI Agent or Chain node to your workflow.
  2. Connect one of the Langfuse Chat Model nodes (OpenAI, Groq, or Gemini) to the Model input.
  3. Configure the node:
    • Select your Credential.
    • Choose the Model (e.g., gpt-4o, llama-3.1-8b-instant).
    • Adjust parameters like Temperature and Max Tokens.
    • (Optional) Add Langfuse Metadata to tag your traces (e.g., {"environment": "production"}).

Support the Project 🚀

If this node helped you, consider supporting the project! This helps us verify new providers, maintain the code, and keep improving the integration.

Pix (Brazil)

Scan the QR Code or copy the key below:

QR Code Pix

00020101021126580014br.gov.bcb.pix0136d0a9da8d-573c-48af-8d56-b39af3852e2e5204000053039865802BR5920DIWBERG DE A PEREIRA6007GOIANIA62070503***6304555F

Feedback & Suggestions

Feel free to open an issue on GitHub to suggest new features, request other LLM providers, or report bugs. Your feedback is essential to improve these nodes!

License

MIT