
Langfuse
Langfuse is the easiest way to add observability to your AI stack. We use Langfuse ourselves, and have a native integration for our customers to push their spans to Langfuse as well.
GitHub - langfuse/langfuse: Open source LLM engineering …
Langfuse is an open source LLM engineering platform. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be self-hosted in minutes and is …
langfuse/langfuse | DeepWiki
Jan 3, 2026 · This document provides a high-level introduction to Langfuse, an open-source LLM observability platform. It covers the system's purpose, architectural design, monorepo …
langfuse (Langfuse) - Hugging Face
Open Source LLM Engineering Platform: observability/tracing, evaluation, playground, datasets&experiments, prompt management. Langfuse uses Github Discussions for Support …
Transform Large Language Model Observability with Langfuse
Apr 15, 2025 · Langfuse is an AWS Advanced Technology Partner that offers an open-source LLM engineering platform designed to streamline the development, monitoring, and testing of …
Langfuse: Open-Source LLM Engineering Platform for …
Mar 11, 2025 · Langfuse is a powerful open-source platform that addresses the key challenges of LLM engineering. With its focus on observability, metrics, and prompt management, it offers a …
Langfuse Supported and Secured by the Hossted Platform
Langfuse provides observability and analytics for LLM applications, enabling teams to monitor, debug and improve performance.
Langfuse Documentation - Langfuse
Langfuse is an open-source LLM engineering platform (GitHub) that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively …
Langfuse: The Open Source Observability Platform for building …
What is Langfuse? Langfuse is an open-source LLM engineering platform that provides developers with the essential infrastructure and tools needed to debug, analyze, and …
langfuse/langfuse-docs: Langfuse documentation - GitHub
Observability, evals, prompt management, playground and metrics to debug and improve LLM apps. Updated docs with adding trace input/output, renaming trace, and cont… Repo for …