AIR: Improving Agent Safety through Incident Response

The paper introduces AIR, the first incident response framework designed for Large Language Model (LLM) agents, which integrates a domain-specific language into the agent's execution loop. AIR enables autonomous incident detection, containment, and recovery, achieving success rates over 90% in these areas across various agent types. This framework highlights the importance of incident response as a critical component of agent safety, allowing practitioners to enhance the robustness of LLM applications by managing post-incident scenarios effectively.