Agent Series (12): Agent Evaluation Framework — How Do You Know If Your Agent Is Actually Good?
This article introduces an evaluation framework for AI agents, addressing the challenges of non-deterministic outputs and multiple failure modes. The framework assesses agents across three dimensions: capability, efficiency, and robustness. It utilizes a ReAct agent with mock tools for weather, calculation, and product information to demonstrate the evaluation process. The author details data structures for test cases and results, including metrics like tool accuracy, output correctness, and latency. AI
IMPACT Provides a structured approach to testing and improving AI agent performance and reliability.