Langfuse
9VerifiedLangfuse is an open-source LLM engineering platform for tracing, prompt management, evaluation and analytics, helping teams debug and improve AI applications and agents in production.
Overview
Langfuse is an open-source LLM engineering platform for tracing, prompt management, evaluation and analytics, helping teams debug and improve AI applications and agents in production.
Langfuse is a freemium ai platform built for developers, enterprises. It supports function calling, streaming. A developer API is available for integrations. It is hybrid and open source. It holds a rating of 9/10 on FindurAI.
Best For
Open-source LLM observability and evals
- Pricing
- Freemium
- Free plan
- Available
- Developer API
- Available
- Mobile app
- Not available
Key Features
Langfuse's core feature set includes llm tracing and sessions, prompt management, evaluations and scoring, and usage and cost analytics.
More About Langfuse
Langfuse is most commonly used for ai agents, automation, and knowledge base.
On the capability side, it supports function calling and streaming. It's built on llm and agent AI technology.
Langfuse is available on API, Web, and Linux, and can be deployed via cloud, self hosted, and local. Hosting is hybrid and the project is open source.
A developer API is available, so Langfuse can be integrated directly into your own applications and workflows. It integrates with Python, TypeScript, REST API, and OpenTelemetry.
Pros
- Open source and self-hostable
- Detailed tracing and analytics
- Prompt management and evals
- Framework-agnostic integrations
Cons
- Self-hosting needs ops effort
- Geared to technical teams
- Advanced features on paid cloud
Frequently Asked Questions
Is Langfuse open source?
Yes, Langfuse is open source and can be self-hosted, with a managed cloud option.
What is Langfuse used for?
Observability, prompt management and evaluation for LLM apps and agents.
Quick Facts
- Category
- Developer Tools
- Tool type
- AI Platform
- Skill level
- Advanced
- License
- Open Source
- Hosting
- Hybrid
- Open source
- Yes
- Verified
- Yes
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