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jev-mode

基于带类型判断模型的工单分诊和文件打标;据报 token 减少 78%,准确率 96.1%,基线为 93.7%。

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jev-mode Cut your coding agent's token use on bulk semantic judgments. Your agent burns tokens deciding the same kind of small question over and over: which team owns this ticket, is this file stale, does this message report a bug, which category is this row. jev-mode moves those judgments out of the model context and into TypeSafe Jev, a typed-judgment …

详情

分区
数据与运维
owner
ddfeyes
星标
2
复刻
0
最近提交
2026-09-18
语言
Python
许可证
MIT
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reports 78 percent fewer tokens and 96

这是什么

形态
命令行工具
宿主智能体
任意智能体
面向人群
智能体开发者
成熟度
文档
报告了实测数据

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