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AWS AgentCore gateway adds rate limiting for AI traffic control

AWS has introduced rate limiting capabilities for its AgentCore gateway, a managed service designed to manage AI traffic. This new feature allows users to control the volume of requests, concurrent connections, and token throughput for individual users accessing tools, inference models, and agents. The rate limiting can be configured using OAuth or IAM, with options for requests per minute, connections per second, and tokens per minute, offering granular control to ensure downstream services remain stable under heavy load. AI

IMPACT Enhances control and stability for AI service providers using AWS infrastructure.

RANK_REASON This is a feature update for an existing AWS service, not a new frontier model release or significant industry shift.

Read on AWS Machine Learning Blog →

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AWS AgentCore gateway adds rate limiting for AI traffic control

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Anagh Agrawal ·

    Configure rate limits for AI traffic on AgentCore gateway

    Learn how to configure rate limits on Amazon Bedrock AgentCore gateway to enforce per-user and per-target traffic controls. Define request, token, and connection limits scoped by JWT claims or IAM identity to protect downstream models, tools, and agents from traffic spikes.