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Why I built this: I was dealing with a really annoying bug in my M:N scheduler. Under heavy load, throughput would just flatline to zero. I ran ASAN and TSAN, but they came up empty because no memory was actually corrupted. It turned out to be a "lost wakeup"—coroutines were stuck forever waiting on a closed file descriptor. Traditional tools just can't catch these logical state machine breaks. I wrote coroTracer to track this exact issue down, and it worked.

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集成式Agent主要消耗文本Token,单次任务成本可以低至0.01美元甚至更低。OpenClaw却需要持续传输高分辨率截图,每次推理可能消耗1000至1500个视觉Token;若任务链条较长,单次成本可能达到1至2美元。对于高频企业调用场景,这意味着成本可能是集成式方案的数十倍甚至百倍。

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