Awesome LLM Agent Trajectory Analysis
What it is
A curated repository and survey companion for LLM agent trajectory analysis, accepted by IEEE TSE 2026. It organizes 55 recent papers into five dimensions: failure taxonomy, failure attribution, system enhancement, monitoring tools, and datasets.
The problem it solves
The rapid growth of LLM agent systems has led to a fragmented and disorganized body of research on how to diagnose, debug, and fix their non-deterministic failures.
What you could use it for
- Literature review for researchers studying LLM agent failures
- Finding benchmarks and datasets for agent debugging
- Identifying state-of-the-art methods for root cause analysis in agent trajectories
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.