Jevals is a Python library that replaces expensive LLM judges with typed Jev decision models for evaluating agent traces and guardrails. It runs all evals in a single request costing fractions of a cent in milliseconds, enabling continuous evaluation rather than sampling, and works with Jev APIs, local open-weight models like Kev and Laya, or fallback LLMs.