How does this skill help with prompt engineering?

It facilitates centralized prompt management and versioning, allowing you to deploy and test prompt updates independently of your application code.

Is this skill compatible with self-hosted Langfuse?

Yes, the patterns provided support both Langfuse Cloud and self-hosted instances by allowing you to configure custom host URLs and API keys.

What is the primary benefit of using the Langfuse skill?

It allows developers to easily instrument and monitor LLM applications, providing deep insights into costs, latency, and output quality through traces and spans.

Does this skill support LangChain applications?

Yes, it includes specific implementation patterns for integrating Langfuse with LangChain using callback handlers for automatic, low-effort tracing.

Langfuse LLM Observability

Name: Langfuse LLM Observability
Author: claudiodearaujo

byclaudiodearaujo

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Analytics & Monitoring

Implements end-to-end tracing, prompt management, and performance monitoring for LLM applications using the Langfuse platform.

The Langfuse skill provides expert-level guidance for integrating the open-source LLM observability platform into your AI development workflow. It enables developers to instrument detailed traces and spans, manage prompt versions outside of code, evaluate output quality with datasets, and track costs across various models. By providing standardized implementation patterns for Python and TypeScript, this skill helps you debug production issues, optimize latency, and drive prompt improvements through data-driven metrics and A/B testing.

Key Features

01Centralized prompt management and versioning

02Automated evaluation and scoring workflows

03Detailed cost and token usage tracking

04Seamless integration with LangChain and OpenAI SDKs

05Full LLM lifecycle tracing and observability

060 GitHub stars

Use Cases

01Monitoring API costs and latency across different LLM providers

02A/B testing prompt variations to improve response accuracy

03Debugging complex multi-step LLM chains and agents in production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter langfuse

For use in Claude.ai and ChatGPT