Why use a specific local dev loop for Langfuse?

Standard Langfuse settings use batching to optimize network traffic. This skill configures immediate flushing so you see your traces the second your code runs, which is essential for fast debugging.

Is hot reloading supported?

Yes, it provides configurations for tools like 'tsx watch' to ensure your application restarts and re-registers traces automatically as you save your files.

Does this work with Langfuse Cloud?

Yes, it is fully compatible with both Langfuse Cloud and self-hosted instances. It simply adjusts the client configuration and environment variables to suit your environment.

What tools does this skill require?

It utilizes standard development tools like Node.js (or Python), npm/pnpm, and optionally Docker if you choose to host Langfuse locally.

How do I see the traces in my terminal?

The skill provides a utility that captures the trace ID and prints a direct URL to your console, allowing you to click and open the specific trace in your browser immediately.

Langfuse Local Development Loop

Name: Langfuse Local Development Loop
Author: jeremylongshore

byjeremylongshore

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1,538

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分析と監視

Sets up a high-velocity local development environment for LLM applications with real-time Langfuse tracing and debugging.

The Langfuse Local Dev Loop skill streamlines the integration of observability into your daily coding workflow. It automates the configuration of environment variables for immediate event flushing, provides utility wrappers to log trace URLs directly to your console, and sets up hot-reload scripts for rapid iteration. By bridging the gap between local code execution and Langfuse's tracing dashboard, this skill helps developers debug complex LLM chains and prompt iterations without the typical latency associated with telemetry batching.

主な機能

01Automated console logging of Langfuse trace URLs for quick debugging

02Optional Docker Compose configuration for self-hosted local Langfuse instances

03Hot-reload script templates using tsx watch and environment file injection

04TypeScript and Python utility wrappers for consistent SDK instrumentation

051,538 GitHub stars

06Instant trace flushing configuration for real-time dashboard updates

ユースケース

01Iterating on prompt templates with live trace links in the development console

02Debugging complex RAG pipelines with immediate visibility into intermediate steps

03Setting up a fully local AI observability stack for air-gapped or offline development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langfuse-local-dev-loop

For use in Claude.ai and ChatGPT

Download Skill

主な機能

01Automated console logging of Langfuse trace URLs for quick debugging

02Optional Docker Compose configuration for self-hosted local Langfuse instances

03Hot-reload script templates using tsx watch and environment file injection

04TypeScript and Python utility wrappers for consistent SDK instrumentation

051,538 GitHub stars

06Instant trace flushing configuration for real-time dashboard updates

ユースケース

01Iterating on prompt templates with live trace links in the development console

02Debugging complex RAG pipelines with immediate visibility into intermediate steps

03Setting up a fully local AI observability stack for air-gapped or offline development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langfuse-local-dev-loop

For use in Claude.ai and ChatGPT

Download Skill