Tool dossier

Langfuse

Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.

3 sources 24,254 stars Self-hosted MIT

Product snapshot

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Langfuse interface screenshot

Positioning

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About

Langfuse is an open source LLM engineering platform designed to help teams build, debug, and improve AI-powered applications. With its comprehensive suite of tools, Langfuse empowers developers to gain deep insights into their LLM applications and optimize performance. Key features of Langfuse include: Langfuse integrates seamlessly with popular LLM frameworks and libraries, including LangChain, LlamaIndex, and OpenAI. It offers SDKs for Python and JavaScript/TypeScript, making it easy to incorporate into your existing workflow. Built for teams of all sizes, Langfuse can be self-hosted or used as a cloud service. It's designed with enterprise-grade security in mind, offering SOC 2 Type II and ISO 27001 certifications for the cloud version. By providing a comprehensive toolkit for LLM engineering, Langfuse helps teams build more reliable, efficient, and high-quality AI applications. Whether you're just starting with LLMs or scaling a complex AI system, Langfuse offers the observability and tools needed to succeed in the rapidly evolving field of AI engineering.

Highlights

The capabilities most worth remembering

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Tracing

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Evaluations

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Prompt Management

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Analytics

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Playground

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Datasets

Evidence

What backs up the editorial summary