Observability & Monitoring

Langfuse

Open Source Platform for Tracing and Evaluating Large Language Models

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Langfuse is an open-source platform designed to help developers trace, evaluate, manage prompts, and test large language models. It provides a comprehensive playground for experimentation with LLMs.

Langfuse stands out by offering an open-source solution that integrates tracing and evaluation functionalities specifically tailored for large language models, making it ideal for developers who prefer to manage their own infrastructure.

When it fits — and when it doesn’t

A good fit for

  • Development teams working on large-scale natural language processing projects who need detailed tracing and debugging capabilities.

  • Research groups evaluating multiple LLMs and needing a standardized way to compare performance.

Look elsewhere if

  • Projects requiring real-time interaction with models, as Langfuse focuses more on post-processing analysis

  • Teams looking for a fully managed service without the need for self-hosting

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Performance issues with large datasets

    Tracing and evaluating large volumes of LLM interactions can lead to significant slowdowns

What it does well

  • Tracing of LLM interactions for debugging and analysis

  • Prompt management tools to streamline the development process

  • Evaluation capabilities to measure model performance

  • Playground environment for experimenting with different prompts

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Langfuse

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Langfuse — tracked on AI Navigator

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