Developers · Updated 28 Oct, 11:14 pm IST
Google details Agents CLI eval loop for improving agent quality
Why it matters for readers: It explains how developers systematically test agents rather than relying on demos or ad-hoc checks.
- Agents CLI provides small, framework-agnostic commands: eval generate, eval grade, eval compare, eval analyze, and eval optimize.1
- The eval loop is designed for hill-climbing agent quality across model upgrades, tool changes, and new conversation shapes.1
- The walkthrough uses the LangChain template included with Agents CLI v1.8.0 and a single create + install scaffold command.1
- The post covers regression tracking, model-backend experiments, and automated alerting and scheduling for ongoing evaluation.1
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