Braintrust

Braintrust enables developers to perform batch logging, execute SQL-based log queries, and conduct rigorous evaluations of model performance. It provides a centralized interface for tracing multi-turn sessions and function calls, ensuring visibility into how models behave across complex, iterative development cycles.

Braintrust is designed for machine learning engineers, data scientists, and software architects who require granular visibility into model performance. It is particularly suited for teams managing high-frequency model interactions who need to debug session turns and validate output quality through systematic evaluation.

Integration requires an active Braintrust account and the configuration of environment variables to authenticate your session data. Users must ensure their environment supports the necessary logging hooks to capture interaction turns and function calls before data can be successfully transmitted to the platform.