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Langfuse

Open source AI engineering platform for LLM observability, evals, and prompt management

★ 29,874 GitHub MIT llm-observabilityprompt-managementllm-evaluationtracingmonitoringllmopsopen-source LLM & Chat

Overview

Langfuse is an open-source AI engineering platform that provides LLM observability, evaluation, prompt management, and metrics all in one integrated system. With 29,800+ GitHub stars, it helps teams debug, monitor, and improve their LLM applications through detailed tracing, cost tracking, dataset management, and online evaluation dashboards. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, LlamaIndex, and more. Self-host with Docker Compose or use the managed cloud. Backed by Y Combinator (W23) and ClickHouse.

Requirements

Min vCPU
1
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  langfuse:
    image: langfuse/langfuse:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/langfuse:/data

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Guides & articles

Getting Started with Langfuse for LLM Observability: A Step-by-Step Tutorial

A hands-on tutorial for setting up Langfuse with Docker Compose, instrumenting your first LLM application with Python, and exploring the observability dashboard.

Jun 27, 2026

Langfuse: The Open-Source LLM Engineering Platform for Observability and Evaluation

Discover Langfuse, the open-source AI engineering platform combining LLM observability, evaluation, prompt management, and cost tracking in one self-hostable stack with 29,800+ GitHub stars.

Jun 27, 2026