Chapter 12: Agent Performance Evaluation
In previous chapters, we built the core functionality of the HelloAgents framework, implementing various agent paradigms, tool systems, memory mechanisms, and reinforcement learning training. When building agent systems, we also need to solve a core problem: How to objectively evaluate agent performance? Specifically, we need to answer the following questions:
- Does the agent possess the expected capabilities?
- How does it perform on different tasks?
- What level is it at compared to other agents?
This chapter will add a Performance Evaluation System to HelloAgents. We will deeply understand the theoretical foundation of agent evaluation and implement evaluation tools.