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Score model outputs with reusable evaluator prompts and metrics using autoevals
Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code.
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# Score model outputs with reusable evaluator prompts and metrics using autoevals
Apply reusable evaluators to model outputs when you need lightweight scoring, rationale capture, or quick eval loops in code.
## Prerequisites
Python or Node.js, access to an OpenAI-compatible model endpoint or Braintrust proxy
## Installation
Use the upstream install or setup path that matches your environment:
- npm install autoevals
- pip install autoevals
- npx braintrust run example.eval.js