Offline Evaluations for AI Agents in WSO2 Integrator

Agent evaluations bring the familiar concept of testing to the non-deterministic world of AI agents. Since agents rely on LLMs, traditional unit tests aren't enough. These evaluations run offline, right on your machine at dev-time, letting you validate agent behavior before anything goes to production.

Here's how it works in WSO2 Integrator:

» Golden datasets can be generated directly from traces. Have a conversation with your agent, and convert those traces into your ground truth dataset.

» A visual editor lets you fine-tune these datasets right inside the tooling. Add, edit, or remove message turns and tool calls to get the exact expected behavior you want.

» Evaluations can be configured with minimum pass rate thresholds and repeated runs if needed.

» After each run, a detailed report shows how your agent performed. There's also an evaluation history view that tracks all previous runs with their code states, so you can go back to a checkpoint that was passing if something breaks.

Видео Offline Evaluations for AI Agents in WSO2 Integrator канала Dan Niles