Popular GitHub Repositories for Langfuse

Open-Source RAG app with LLM Observability (Langfuse), support for 100+ providers (LiteLLM), Dockerized, Full Type-checking, 100% Test coverage, and more...

? Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps

To simplify and streamline LLM operations, empowering developers and organizations to harness the full potential of large language models with ease.

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.

Modular, open source LLMOps stack that separates concerns: LiteLLM unifies LLM APIs, manages routing and cost controls, and ensures high-availability, while Langfuse focuses on detailed observability, prompt versioning, and performance evaluations.

Template for a new generative ai project using uv, streamlit, fastapi, llms (cloud & local with litellm and ollama) and langfuse for llm observability

? Langfuse JS/TS SDKs - Instrument your LLM app and get detailed tracing/observability. Works with any LLM or framework

This repository provides resources and guidelines to facilitate the integration of Open-WebUI and Langfuse, enabling seamless monitoring and management of AI model usage statistics.

SynthGenAI - Package for Generating Synthetic Datasets using LLMs.

Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web.

Examples of how to monitor the OpenAI SDK calls using Langfuse

Blueprint for running AWS Bedrock Multi-Agent AI collaboration with CDK, Streamlit and LangFuse

Terraform configuration for self-hosting Langfuse on Google Cloud.

技術書典#17 - 『俺たちと探究するLLM Observabilityアプリケーションのオブザーバビリティ』で使用するサンプルアプリケーション

这是2025年Devoxx法国大会“寻找迷失的RAG”代码实验室的项目：一个为期3小时的研讨会，学习如何创建一个独立的、本地的、无需互联网的生成式AI聊天机器人，并且只基于开源框架。

An MCP server for the langfuse-mcp, focusing on analysis

Ollama Proxy Server with extensions

Monitoring and evaluating LLM apps with Langfuse. Presented at PyConZA 2024.

基于LangGraph、FastAPI、LiteLLM、Langsmith或Langfuse以及Streamlit构建的AI智能体服务完整工具包

Resources from AI Streams