Bedrock AgentCore Unveils Advanced Agent Control and Cost Management.

Amazon Bedrock AgentCore is rolling out significant enhancements that offer more sophisticated control over AI agent behaviors and associated operational costs. A key addition is the introduction of temporal policies, which are enabled by Dogwood, a newly open-sourced policy language specifically designed for AI agents. These policies allow for the definition of rules that govern an agent's actions over time, ensuring specific sequences are followed and preventing undesirable cumulative behaviors. Concurrently, the platform now supports rate limiting at the gateway level. This feature enables organizations to set explicit cost ceilings and manage traffic flow, ensuring that AI agents operate within predefined budgetary and operational boundaries. Together, these capabilities provide a more deterministic and predictable environment for deploying and managing AI agents, moving beyond single-action controls to comprehensive behavioral and financial governance.