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Examples of how to monitor the OpenAI SDK calls using 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 an... Read more

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

OpenClaw plugin for Langfuse LLM observability — traces every agent turn with sessions, token usage, latency, and cost tracking. Zero dependencies, drop-in install.

No description available from source.

Python project to ship N8N execution data to Langfuse using OTEL API.

OpenClaw exporter for sending agent, LLM, and tool tracing data to Langfuse via OpenTelemetry.

Langfuse Ruby SDK

A LangGraph template for building AI agents with human-in-the-loop, conditional routing, observability (Langfuse), and a Reflex UI demonstrated through a travel planner use case.

🤖 Autonomous agentic system for visual analytics in the GenAI era