IntellAgent
First page

Paper summary
Introduces a new open-source framework for evaluating conversational AI systems through automated, policy-driven testing. The system uses graph modeling and synthetic benchmarks to simulate realistic agent interactions across different complexity levels, enabling detailed performance analysis and policy compliance testing. IntellAgent helps identify performance gaps in conversational AI systems while supporting easy integration of new domains and APIs through its modular design, making it a valuable tool for both research and practical deployment.