AWS announced new capabilities in Amazon Bedrock AgentCore that enable enterprises to deterministically control sequences of agent actions and enforce cost ceilings via the open-source Dogwood policy language and gateway rate limiting, enhancing reliability and cost efficiency for production agent deployments.

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Amazon Bedrock AgentCore: Deterministic Control of Agent Behaviors and Costs with Open-Source Dogwood Policy Language

Overview

FAQ

What is the Dogwood language in Amazon Bedrock AgentCore?

Dogwood is an open-source policy language developed by AWS for deterministic control of agent behavior, allowing explicit definition of allowed action sequences, time constraints, and cost limits.

How does rate limiting in AgentCore help control costs?

Rate limiting enforces a maximum number of requests within a time period on the AgentCore gateway, ensuring costs stay within budget even if the agent behaves unexpectedly.

Are these capabilities suitable for enterprises in the Middle East?

Yes, especially for banks, government entities, and energy companies that need strict compliance and cost control when deploying agents in production operations.

How do these features compare to other solutions like LangChain or AutoGen?

AgentCore with Dogwood provides deterministic control at the cloud infrastructure level, while other open-source frameworks focus on development flexibility, making them complementary rather than substitutes.

Source: AWS Machine Learning

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