Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems
Large language model (LLM) based multi-agent systems enable complex problem solving through coordinated reasoning and action, but their distributed structure also introduces new challenges in diagnosing system-level failures. When an execution fails, identifying which agent is responsible and at what point the trajectory first becomes irreversibly misdirected is difficult due to long-horizon interactions and tightly coupled agent behaviors. In this paper, we study the problem of failure localization in LLM-based multi-agent systems and present AgentLocate, a framework that attributes failures to both a specific agent and the earliest decisive step. AgentLocate combines an LLM-based judgin...
| Authors | Yufei Xia, Anjun Gao, Yueyang Quan et al. |
|---|---|
| Primary category | cs.CR |
| Published | 8 July 2026 |
| Last updated at source | 8 July 2026 |
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