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Jev 在智能体工具调用风险基准中的置信度校准

作者分享在 60 个智能体工具调用风险案例中,Jev 从未返回 1.000 且判断错误,强调置信度校准对 GrokBot 路由的重要性,并附上 Jev 基准测试仓库与页面。

Agree the loop: GrokBot → Jev decides → GrokBot executes. Cheap/fast routing only matters if confidence is calibrated. On our 60-case agent tool-call risk run, Jev never returned 1.000 and was wrong. https://github.com/themsquared/jev-benchmark… https://webofmike.com/jev-benchmark/

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