pytest-evals
pytest-evals is a minimalistic pytest plugin designed to help developers run and analyze evaluation tests for Large Language Models (LLMs). It simplifies the process of testing LLM outputs against predefined examples, ensuring that your models perform as expected over time.
Key Features:
- Easy Integration: Works seamlessly with pytest, Jupyter notebooks, and CI/CD pipelines.
- Parallel Testing: Supports running tests in parallel using pytest-xdist, enhancing efficiency.
- Comprehensive Metrics: Collects and analyzes performance metrics to track LLM accuracy.
- User-Friendly: Minimalistic design that focuses on logic rather than complex frameworks.
Benefits:
- Automated Testing: Eliminates the need for manual checking of LLM outputs, saving time and reducing errors.
- Flexible Data Management: Allows for easy management of test data using CSV files, making it accessible for non-technical stakeholders.
- Community Contributions: Encourages open-source contributions, fostering a collaborative environment for improvement and innovation.
Highlights:
- Install with a simple command:
pip install pytest-evals. - Run evaluation tests and analyze results with straightforward commands.
- Designed to keep evaluations clean and focused by separating evaluation and analysis phases.
