OpenAI Evals

OpenAI Evals is the framework for systematically testing and measuring LLM performance against specific, user-defined criteria.

OpenAI Evals is the essential framework for systematic LLM evaluation, ensuring accuracy, consistency, and reliability in production. Use the Evals API or the OpenAI dashboard to define clear testing criteria (classification, fact-checking, safety) and run them at scale. The process is direct: describe the task, run your eval against a test dataset (e.g., up to 500 responses at once), and analyze the results to quickly iterate on prompts or models . This capability is critical for adopting an eval-driven development cycle, allowing you to track performance over time and, for example, improve chatbot resolution rates from 68% to 89% in just three weeks .

https://platform.openai.com/docs/guides/evals