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。关于这个话题，zoom提供了深入分析
Many thousands of words have already been spent arguing variations of these positions. So of course today I’m going to throw a few thousand more words at it, because that’s what blogs are for. At least all the ones you’ll read here were written by me (and you can pry my em-dashes from my cold, dead hands).
Token经济性每次grep调用都需要为查询、响应（含匹配行及上下文）和LLM的后续推理消耗token。对于需要N跳调用图的传递性问题，总计约需N次工具调用 ×（查询token + 响应token + 推理token）。5跳调用链可能消耗5次调用 × 约500token = 约2500token（假设LLM未走错路径）。使用Chiasmus后，仅需单次工具调用 × 约200token及少量JSON响应。繁重任务由本地运行的Prolog求解器完成，完全不消耗API token。