Langfuse

What is Langfuse?

Langfuse is an open-source platform built for LLM Engineering. It provides observability, metrics tracking, evaluations, prompt management, and a playground for debugging and improving LLM applications. It works with any model or framework, supports complex nested applications, and offers open APIs for building custom tools on top of it.

Users highlight how well Langfuse helps monitor GPT usage, analyze LLM applications, and provide detailed insights into latency and other analytics. Common feedback mentions the easy setup, intuitive interface, and the development team’s frequent improvements. Security is a priority: Langfuse is SOC 2 Type II and ISO 27001 certified, fully GDPR compliant, and built with security in mind.

Who created Langfuse?

Langfuse was created by Clemens, Marc, and Max. They built the open-source LLM Engineering Platform to give developers observability and analytics for their LLM apps, with the goal of helping users improve costs, reduce latency, and boost response quality through dashboards and monitoring tools.

What is Langfuse used for?

• Prompt Management: Organize and version prompts.
• Observability: Get a clear view of what’s happening inside LLM applications.
• Metrics Monitoring and Evaluation: Track performance and assess model quality.
• Debugging and Improvement: Pinpoint issues and optimize LLM apps.
• Universal Compatibility: Works with any model and framework.
• Complex Nesting: Handles intricate application structures.
• Open APIs: Build custom tools and integrations.
• GPT Usage Monitoring: Track token usage, identify potential hallucinations, and trace request histories.
• Detailed Latency and Analytics: Deep performance insights for complex chains or user-facing chat applications.

Who is Langfuse for?

Langfuse suits a range of professionals, including compliance professionals, data processing professionals, specialists in SOC 2 Type II and ISO 27001 reporting, security professionals, team solutions specialists, and data analysts.

How to use Langfuse?

1. Sign Up: Create an account on Langfuse’s website.
2. Choose a Tier: Pick a plan — Hobby, Pro, or Team — each with its own features and usage limits.
3. Access Features: Explore observability, tracing, prompt management, and metrics to debug and improve your LLM apps.
4. Integrate with LLM Apps: Langfuse works with any model or framework. Use it to monitor GPT usage, track token consumption, watch for hallucinations, and trace request histories.