AgentDebugX is an open-source debugging framework that organizes LLM agent debugging into a "Detect-Attribute-Recover-Rerun" closed loop. Its core, DeepDeb...
AgentDebugX is an open-source debugging framework that organizes LLM agent debugging into a
"Detect-Attribute-Recover-Rerun" closed loop. Its core, DeepDebug, achieves precise agent and step attribution accuracy on the Who&When benchmark for qwen3.5-9b, and can fix failed tasks on GAIA with a single rerun. The tool provides a Python library, CLI, web console, and installable agent skills.
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来源摘要将AgentDebugX描述为面向LLM智能体的开源调试框架，采用“检测、归因、恢复、重跑”闭环，并称其提供Python库、CLI、Web控制台及可安装的智能体技能。
标题与摘要聚焦AgentDebugX及其调试能力，但正文摘录实际介绍的是arXivLabs协作框架，未出现AgentDebugX、DeepDebug、Who&When、GAIA或相关实验细节。
Aioga判断，现有材料存在摘要与正文摘录不对应的问题。摘要中的模型、基准、归因准确率和单次重跑修复等表述，尚缺少正文证据支持，不宜据此扩展结论。
若摘要信息准确，该框架可能为智能体故障定位和失败任务恢复提供统一工作流；但在论文正文、代码仓库或实验数据得到核验前，其实际效果与适用范围仍无法确认。 建议补充并核对论文摘要、方法章节、实验表格和开源仓库，确认DeepDebug、qwen3.5-9b、Who&When及GAIA相关表述，再决定是否发布性能结论。
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Source: HuggingFace Daily Papers（社区热门论文）
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