Eval agent responses with Jev

Jev, TypeSafe’s System One API, enables applications and Braintrust evaluations to make narrow, typed decisions from unstructured inputs by returning constrained classifications or scores alongside probabilities and confidence values rather than prose. In Braintrust, it can be used as a judge scorer through a TypeSafe API key or, with enabled access, as a built-in model, allowing teams to evaluate outputs such as customer support responses against defined categories for accuracy, safety, completeness, and readiness. Its confidence and per-choice probability data can support review routing and threshold-based automation, although teams are advised to validate thresholds against their own observed accuracy before relying on them operationally. Developers can also instrument Jev calls through TypeSafe’s JavaScript or Python SDKs, with Braintrust tracing inputs, decision criteria, answers, token usage, latency, and model metadata. By exposing specific failure modes and structured evaluation outcomes, the integration is intended to help teams diagnose agent performance, refine scoring criteria, and improve production workflows, with TypeSafe reporting substantial speed and cost advantages in its own evaluations.

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