Langfuse

Overview

Langfuse is an open‑source LLM engineering and observability platform built for teams shipping AI applications into production. It gives developers full visibility into how prompts, models, and agents behave in real user flows, so you can debug faster, iterate with confidence, and control costs as usage scales. With Langfuse, you can trace every request across your stack, inspect token‑level details, and correlate logs, metrics, and user feedback in one place. The platform is language- and framework‑agnostic, integrating easily with popular LLM providers, orchestration frameworks, and custom backends via SDKs and APIs. Teams can collaborate on prompt versions, compare model variants, and run data‑driven experiments based on real production traffic. Built‑in analytics help you track quality, latency, and cost over time, while structured evaluation workflows support regression testing and continuous improvement. As an open‑source project, Langfuse can be self‑hosted for maximum control and compliance, or connected to managed infrastructure depending on your requirements. Its transparent architecture and active community make it a reliable foundation for AI observability in startups and enterprises alike. Whether you’re building chatbots, agents, RAG systems, or internal copilots, Langfuse provides the tracing, analytics, and collaboration layer you need to take LLM products from prototype to robust, production‑ready systems.