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KR Labs的研究者把这个问题叫做"工具输出修剪"（Tool-Output Pruning）——核心思路是：在AI助手读取工具输出之前，先用另一个小模型把没用的内容剪掉，只把真正有价值的那几行传给AI。他们把这套系统起名叫**Squeez**（挤压、精简之意），并围绕它做了一套完整的测评基准、数据集和模型。