open-agent-eval

Open-Agent-Eval is a toolkit designed to assess the performance of AI agents that utilize tool calling. It focuses on evaluating these agents across three key areas: safety, correctness, and reliability. Developers and researchers working with advanced AI systems can use this toolkit to understand how well their agents perform in real-world scenarios. The lightweight nature of the toolkit makes it easy to integrate into existing workflows. It provides a standardized way to measure and compare the capabilities of different agents. This allows for iterative improvement and ensures agents are robust and trustworthy. Ultimately, Open-Agent-Eval helps build safer and more dependable AI applications.

Evaluating tool-calling AI agents for safety, correctness, and reliability is a complex and time-consuming process. Open-Agent-Eval solves this by providing a streamlined, open-source toolkit, eliminating the need for manual testing and custom evaluation frameworks.