【中文说明】用于从大量应用、服务器或访问日志中归纳错误模式，统计频次、出现时间和异常峰值，并区分可能根因与连带症状。粘贴或上传日志，补充故障时段及正常时期的基准日志，可获得按优先级排序的排查摘要与后续检查建议。 Turns noisy application, server, and access logs into a ranked list of error patterns with counts, first and last seen, spikes, and patterns that are new versus a known-good baseline, then separates root causes from symptoms and writes a short incident triage report. Includes a tested stdlib Python log clusterer.
