phoenix-evals

Official

Build and run AI evaluators with Phoenix.

AuthorArize-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Build and run evaluators for AI/LLM applications using Phoenix. This Skill provides a framework to create code-based evaluators, LLM evaluators, and calibration workflows to ensure reliable AI system evaluation.

Core Features & Use Cases

  • Code evaluators for deterministic checks (regex, JSON, exact matches).
  • LLM evaluators for subjective quality judgments with human calibration.
  • End-to-end experiment workflows to run datasets, tasks, and evaluators.

Quick Start

Install and configure the Phoenix evaluation toolkit, then create a simple evaluator (code or LLM), and run it against a small dataset to validate behavior.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: phoenix-evals
Download link: https://github.com/Arize-ai/phoenix/archive/main.zip#phoenix-evals

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