A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.

🪢 Langfuse Python SDK - Instrument your LLM app with decorators or low-level SDK and get detailed tracing/observability. Works with any LLM or framework

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.

🪢 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.

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

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

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.

This project applies the core knowledge from the LLMOps module, including the design and implementation of the API Layer, Inference Layer, Observability Layer, Cache Layer, Guardrails Layer, Routing Layer, and the Data Ingestion Pipeline.

SynthGenAI - Package for Generating Synthetic Datasets using LLMs.

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

Langfuse Go SDK

🪢 Auto-generated Java Client for Langfuse API

This Terraform module provides infrastructure components for deploying Langfuse v3 self-hosted on Amazon Web Service(AWS).

An n8n community node that brings Langfuse observability to your OpenAI chat workflows.

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

Universal LangGraph-based educational content generator with OCR, HITL workflow, multi-provider LLM support, and Telegram/Web interfaces

Examples of how to monitor the OpenAI SDK calls using Langfuse

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

Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP