LLM eval & dataset management
Braintrust is used to systematically evaluate LLM outputs, manage test datasets, and run A/B comparisons between different prompts, models, and pipeline configurations. It helps teams move from vibes-based prompt tuning to data-driven iteration with scoring functions, human review workflows, and regression detection.
Sign up at braintrust.dev and install with `pip install braintrust`. Create a project in the dashboard and use `braintrust.init()` with your API key to start logging evaluations. Define scoring functions, create a dataset of test cases, and run `Eval()` to compare different configurations side by side.
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