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Omnichannel ordering with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic

Favorite Introduction Building a voice-enabled ordering system that works across mobile apps, websites, and voice interfaces (an omnichannel approach) presents real challenges. You need to process bidirectional audio streams, maintain conversation context across multiple turns, integrate backend services without tight coupling, and scale to handle peak traffic. In this post,

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Shared by AWS Machine Learning April 20, 2026

ToolSimulator: scalable tool testing for AI agents

Favorite You can use ToolSimulator, an LLM-powered tool simulation framework within Strands Evals, to thoroughly and safely test AI agents that rely on external tools, at scale. Instead of risking live API calls that expose personally identifiable information (PII), trigger unintended actions, or settling for static mocks that break with multi-turn

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Shared by AWS Machine Learning April 20, 2026

Introducing granular cost attribution for Amazon Bedrock

Favorite As AI inference grows into a significant share of cloud spend, understanding who and what are driving costs is essential for chargebacks, cost optimization, and financial planning. Today, we’re announcing granular cost attribution for Amazon Bedrock inference. Amazon Bedrock now automatically attributes inference costs to the IAM principal that

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Shared by AWS Machine Learning April 17, 2026