AI RESEARCH
A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
arXiv CS.AI
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ArXi:2605.06737v1 Announce Type: cross Autonomous agents based on Large Language Models (LLMs) are increasingly being utilized in complex software systems. However, reliability remains a significant challenge due to unpredictable failures such as hallucinations, execution errors, and inconsistent reasoning. This paper proposes a reliability-aware self-healing framework for LLM-based software agents. The framework integrates failure detection, reliability assessment, and automated recovery mechanisms. First, we define a taxonomy of failure types and