Introducing AgentControl
Blog post from LaunchDarkly
AgentControl is a new operational platform designed to manage the challenges of running AI agents at scale, addressing the unpredictability and degradation issues that arise after deployment. Traditional software remains stable after deployment, but AI agents are inherently dynamic, leading to potential performance declines without direct code changes. This platform integrates with LaunchDarkly's flag delivery infrastructure to allow rapid updates to agent behavior elements such as prompts and models, offering centralized governance and control across organizations. AgentControl includes features like offline evaluations, guarded rollouts, online evaluations, AI insights, and experimentation capabilities to ensure agents meet quality, cost, and reliability standards before issues impact users. It provides real-time observability and connects it with actionable controls, enabling teams to preemptively address potential problems efficiently. The platform is designed to evolve continuously by feeding production data back into configurations, thus enabling automatic system improvements without manual interventions.