When evaluating LLM agents in production, combine trace-based evaluation for functional correctness with adversarial red-teaming for security—they catch different failure types that neither method finds alone.
This paper compares three evaluation frameworks for LLM-based analytics agents in enterprise settings, testing their ability to detect failures across complex workflows.