AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents

LLM agent failures are difficult to debug because the step where an error surfaces is often not the one that caused it. Existing observability tools replay execution traces but provide little support for identifying the root cause or translating diagnosis into recovery. We present AgentDebugX, an open-source debugging framework that organizes debugging as a closed loop of Detect, Attribute, Recover, and Rerun. At its core, DeepDebug performs multi-turn root-cause diagnosis through global traject

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ethics.ai (20 July 2026), “AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents,” evidence record 12661, https://ethics.ai/record/12661 (originally published by HuggingFace Daily Papers).

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