Understanding how your AI agents perform is important for delivering high-quality services. EdFlow introduces Runs, which record your agents' activities by capturing inputs, outputs, and other relevant data.

You can review these Runs to see how your agents handle tasks. If you notice an agent's response that needs improvement, you can add the input and output from that run directly to your Datasets. By tagging these examples appropriately, you contribute to the agent's training data, refining its performance based on actual usage.

By using Runs and integrating them into your Datasets, you can continuously enhance your agents to better serve your educational objectives.‌‍‍‍‌‍‌‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍‍‍‍‍‍‍‌‌‍‌‌‍‍‌‍‍‌‌‌‌‍‌‍‍‌‍‍‌‌‍‍‍‍‍‍‌‍‍‌‍‌‍‌‌‌‍‌‍‍‍‍‍‍‍‍‌‌‌‌‌‌‌‍‌‌‍‍‌‌‍‍‌‍‍‌‌‍‍‌‌‌‍‌‌‌‍‍‌‌‍‌‍‌‌‌‍‌‌‍‍‌‌‌‍‌‍‌‌‍‌‍‌‌‍‌‌‌‌‌‍‌‍‌‌‌‌‍‌‌‌‍‍‌‌‌‍‌‌‌‌‍‍‌‌‍‌‍‍‍‌‍‍‌‌‍‌‌‌‌‌‍‌‍‌‌‌‍‌‌‍‌‍‌‌‍‍‌‍‍‌‌‌‍‌‌‌‌‍‌‌‍‌‌‌‍‍‌‌‍‌‍‌‍‌‍‌‌‍‍‌‍‌‍‌‌‍‌‌‌‌‌‍‌‍‌‍‌‌‌‍‌‌‌‍‌‌‌‌‍‌‍‍‌‍‌‌‍‍‌‍‌‌‍‌‌‌‍‌‍‌‍‌‌‍‌‌‌‌‍‌‌‌‍‌‍‌‌‍‌‌‌‌‍‍‌‌‍‌‍‌‍‌‍‌‌‌‌‌‍‌‌‌‍‍‌‍‌‌‌‍‌‍‌‌‌‌‍‌‌‌‌‍‌‌‍‍‌‍‌‌‍‌‍‌‌‍‌‌‌‍‍‌‍‌‌‍‍‌‍‍‍‍‌‌‍‍‍‌‌‌‌‌‌‍‍‌‍‌‌‍‌‌‍‌‍‍‌‍‌‌‌‍‌‌‌‌‌‌‌‍‌‍‌‍‌‌‍‌‌‍‌‌‌‌‌‌‌‍‌‌‍‍‌‌‍‍‌‍‌‍‍‌‌‍‌‌‌‌‌‍‌‍‌‌‌‍‌‌‍‌‍‌‌‍‍‌‍‍‌‌‌‍‌‌‌‌‍‌‌‍‌‌‌‍‍‌‌‍‌‍‌‍‌‍‌‌‍‍‌‍‌‍‌‌‍‌‌‌‌‌‍‌‍‌‍‌‍‌‌‌‍‌‌‌‍‌‌‌‌‍‌‍‍‌‍‌‌‍‍‌‍‌‌‍‌‌‌‍‌‍‌‍‌‌‍‌‌‌‌‍‌‌‌‍‌‍‌‍‌‌‍‌‌‌‌‍‍‌‌‍‌‍‌‍‌‍‌‌‌‌‌‍‌‌‌‍‍‌‍‌‌‌‍‌‍‌‌‌‌‍‌‌‌‌‍‌‌‍‍‌‍‌‌‍‌‍‌‌‍‌‌‌‍‍‌‍‌‌‍‍‌‍‍‍‍‌‌‍‍‍‌‌‌‌‌‌‍‍‌‍‌‌‍‌‌‍‍‍‌‌

Memorang changelog

EdFlow: Monitoring and Refining Agents with Runs