TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories
A new research paper introduces TrajDebug, a framework designed to identify critical failures in long-horizon agent trajectories. The paper, available on arXiv (2608.06346), addresses the challenge of debugging LLM-based agentic systems, which often suffer from cascading errors. TrajDebug employs multi-granularity history compression and evidence-based error identification to locate the earliest error step responsible for final failure. It also supports critical attribution by tracing each error's resolution status. The framework aims to improve error detection in complex domains where long trajectories obscure individual errors and multiple local errors have varying downstream effects.
Key facts
- Paper published on arXiv with ID 2608.06346
- Introduces TrajDebug, an error-lifecycle tracing framework
- Addresses challenges in detecting critical errors in long-horizon agent trajectories
- Uses multi-granularity history compression and evidence-based error identification
- Supports critical attribution by tracing error resolution status
- Targets LLM-based agentic systems
- Focuses on locating the earliest error step responsible for final failure
- Handles multiple local errors with different downstream effects
Entities
Institutions
- arXiv