Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize.
This is a companion discussion topic for the original entry at https://aws.amazon.com/blogs/machine-learning/evaluate-ai-agents-systematically-with-agent-evalkit/