Evaluating AI Agents - The Right Approach with TOOLSANDBOX

Learn about TOOLSANDBOX, a comprehensive evaluation framework for AI agents, in this 16-minute video. Explore its key features including stateful tool execution, implicit state dependencies, built-in user simulator for on-policy conversational evaluation, and dynamic evaluation strategy. Discover how TOOLSANDBOX addresses limitations in current benchmarks and provides a more robust approach to testing AI agent capabilities. Gain insights into the evaluation process, knowledge boundary considerations, execution environment setup, and final benchmarking techniques for assessing AI agent performance.

Introduction
Current Benchmarks
Evaluation
Knowledge Boundary
Execution Environment
Testing
Final Benchmark