·langfuse-observability
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langfuse-observability

yonatangross/orchestkit

LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning.

14Installs·0Trend·@yonatangross

Installation

$npx skills add https://github.com/yonatangross/orchestkit --skill langfuse-observability

SKILL.md

Langfuse is the open-source LLM observability platform that OrchestKit uses for tracing, monitoring, evaluation, and prompt management. Unlike LangSmith (deprecated), Langfuse is self-hosted, free, and designed for production LLM applications.

| Distributed Tracing | Track LLM calls with parent-child spans | references/tracing-setup.md | | Cost Tracking | Automatic token & cost calculation | references/cost-tracking.md | | Prompt Management | Version control for prompts | references/prompt-management.md | | LLM Evaluation | Custom scoring with G-Eval | references/evaluation-scores.md |

| Session Tracking | Group related traces | references/session-tracking.md | | Experiments API | A/B testing & benchmarks | references/experiments-api.md | | Multi-Judge Eval | Ensemble LLM evaluation | references/multi-judge-evaluation.md |

LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning. Source: yonatangross/orchestkit.

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Install command
npx skills add https://github.com/yonatangross/orchestkit --skill langfuse-observability
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is langfuse-observability?

LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse, monitoring LLM costs, tracking token usage, or implementing prompt versioning. Source: yonatangross/orchestkit.

How do I install langfuse-observability?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/yonatangross/orchestkit --skill langfuse-observability Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/yonatangross/orchestkit