A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.
- 
            Updated
            Jun 13, 2025 
- Python
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
🪢 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 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.
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.
🪢 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
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
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
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