The PR adds support for running evals directly against a deployed agent, so model quality checks can target the exact service endpoint that users interact with.
Scattered source updates, isolated context, and manual follow-up across multiple feeds.
Introduces a deployed-agent evaluation path, enabling validation runs to execute against live deployment targets rather than only local test setups.
Developers and operators can now validate agent behavior on the same deployed instance that serves requests, which makes release quality checks more representative of production outcomes and helps catch regressions before users are exposed. After rollout, monitor for endpoint-level issues (auth, network stability, and environment drift across staging/production) and for evaluation flakiness from rate limits or timeouts that could hide or overstate real failures.
Developers and operators can now validate agent behavior on the same deployed instance that serves requests, which makes release quality checks more representative of production outcomes and helps catch regressions before users are exposed. After rollout, monitor for endpoint-level issues (auth, network stability, and environment drift across staging/production) and for evaluation flakiness from rate limits or timeouts that could hide or overstate real failures.