What is Langfuse?

Langfuse is an open-source platform for observability of applications based on large language models, including tracing, result evaluation, prompt management, and metrics analysis. It enables teams to understand how LLM-based applications behave, where errors occur, how quality evolves, and what costs are associated with model interactions.

In practical operation, the Langfuse platform is used for debugging LLM-based services, comparing experiments, managing prompts, and analyzing the performance of AI processes in production environments. Unlike general application performance monitoring (APM) tools, this environment natively operates with entities such as tokens, prompt–response pairs, quality evaluations, datasets, and experiments.

A key advantage of Langfuse is support for self-hosted deployment on Docker, Kubernetes, or virtual machines using the same codebase as the cloud version. This makes the platform suitable for enterprise environments that require data control, internal operation, and stable performance under production workloads.