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arize-instrumentation

Official

Add Arize AX tracing to your app

Software Engineering#debugging#llm#observability#tracing#instrumentation#otel#arize
AuthorArize-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the process of adding Arize AX tracing to your application, enabling detailed observability of your LLM and tool usage.

Core Features & Use Cases

  • Agent-Assisted Tracing: Guides you through a two-phase flow to analyze your codebase and implement tracing.
  • Framework & Provider Support: Detects and integrates with various LLM providers and frameworks (Python, JS, Java).
  • Tool & Chain Span Instrumentation: Manually adds spans for tool execution and agent loops to provide comprehensive trace data.
  • Use Case: When you want to understand the performance and behavior of your LangChain application that uses OpenAI, this skill will help you instrument it with Arize AX, showing LLM calls, tool usage, and overall chain execution.

Quick Start

Use the arize-instrumentation skill to add Arize AX tracing to my Python application.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: arize-instrumentation
Download link: https://github.com/Arize-ai/arize-skills/archive/main.zip#arize-instrumentation

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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