Ensure high-quality LLM outputs with automatic evals. Use a representative sample of user inputs to reduce subjectivity when tuning prompts. Use built-in metrics, LLM-graded evals, or define your own custom metrics. Compare prompts and model outputs side-by-side, or integrate the library into your existing test/CI workflow. Use OpenAI, Anthropic, and open-source models like Llama and Vicuna, or integrate custom API providers for any LLM API.
Features
- Create a list of test cases
- Set up evaluation metrics
- Select the best prompt & model
- Use a representative sample of user inputs to reduce subjectivity when tuning prompts
- Use built-in metrics, LLM-graded evals, or define your own custom metrics
- Compare prompts and model outputs side-by-side, or integrate the library into your existing test/CI workflow
Categories
Large Language Models (LLM)License
MIT LicenseFollow promptfoo
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