Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively integrated to accelerate the development workflow.
Langfuse is open. It works with any model, any framework, allows for complex nesting, and has open APIs to build downstream use cases.
Docs: https://langfuse.com/docs
Github: https://github.com/langfuse/langfuse
The community submitted 48 reviews to tell
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5.0
Based on 48 reviews
Review Langfuse?
Reviewers mostly see Langfuse as a practical, dependable tool for LLM observability: they repeatedly praise tracing, prompt versioning, easy integration, strong SDKs, and analytics for cost, latency, tokens, feedback, and hallucinations. Several say it helps them debug edge cases faster and make systems cheaper or more stable, while self-hosting is valued in regulated setups. Founders from Magic Patterns and Agentplace say it underpins tracing and quality work in production. The main caveat is that complex, long-running agent traces can become hard to parse, plus one reviewer notes roadmap uncertainty after its acquisition.
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ReplayAutonomous app testing for teams who ship at AI-speed