---
title: "Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore"
slug: "neue-agentcore-funktionen-zuegeln-agent-verhalten-und-kosten"
date: 2026-08-06
category: tech-pub
tags: [agents, regulation, open-source, amazon]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/neue-agentcore-funktionen-zuegeln-agent-verhalten-und-kosten
---

# Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore

**Published**: 2026-08-06 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.

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## Summary

Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway. These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of agent behavior.

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## Why it matters

Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.

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## Key Points

- Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.
- These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of agent behavior.

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## Nauti's Take

Dogwood is the promising part: an open policy language for agents could finally become a shared standard instead of every team reinventing its rules. The open question is whether it gains traction outside AWS, since policy languages live or die by adoption. Teams running agents in production should turn on the cost ceilings now and keep watching Dogwood.

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## FAQ

**Q:** What is Control agent behaviors and cost beyond a single action about?

**A:** Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.

**Q:** Why does it matter?

**A:** Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.

**Q:** What are the key takeaways?

**A:** Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiting on the gateway.. These features give you deterministic control over sequences of agent actions and cost ceilings that hold regardless of agent behavior.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)
- [regulation](https://news.ainauten.com/en/tag/regulation)
- [open-source](https://news.ainauten.com/en/tag/open-source)
- [amazon](https://news.ainauten.com/en/tag/amazon)

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## Sources

- [Securing AI agents with temporal policies in Amazon Bedrock AgentCore](https://aws.amazon.com/blogs/machine-learning/securing-ai-agents-with-temporal-policies-in-amazon-bedrock-agentcore/) - AWS Machine Learning Blog
- [Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore](https://aws.amazon.com/blogs/machine-learning/control-agent-behaviors-and-cost-beyond-a-single-action-new-capabilities-in-amazon-bedrock-agentcore/) - AWS Machine Learning Blog

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-08-07*