jevals: replacing LLM judges with typed Jev decisions for agent evals

jevals is an open-source tool that replaces LLM judges with typed Jev decision models for agent evals and guardrails. All evals for a trace are sent as one HTTP request costing a few thousandths of a cent and returning in a few hundred milliseconds, suitable for every trace or inside the agent loop. It supports Jev, Kev, Laya, and regular chat LLMs.

• OpenAI Decisions API Confidence Unreliable2026-10-02
• Open-source Vega: 800M Physics-based Decision Model with 73k Context and Image Support2026-10-10
• Turning GLM-5.3-Flash into a Jev-like decision model2026-09-27
• Four AI Models Tested on Doom Control Benchmark2026-09-20
• Developer Says His Non-Autoregressive Decision Model Was Rebranded a Breakthrough2026-09-19