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TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- TrajDebug framework identifies critical errors in long multi-step LLM agent trajectories by tracing error lifecycle and determining which failures caused final task failure.
- 为何重要
- Engineers building or debugging LLM-based agents need this when multi-step tasks fail and they must pinpoint which early mistake cascaded into the final error.
- 注意
- The benchmark contains only 486 manually annotated trajectories from two sources, so performance on other agent types or domains remains unclear.
收听本摘要
- agent
- agentic
- llm
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