Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive self-correction mechanisms is…
Diagnosing and Self- Correcting LLM Agent Failures: A Technical Deep Dive into τ-Bench Findings with Atla’s EvalToolbox
