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All news with #bedrock agents tag

34 articles · page 2 of 2

Amazon Bedrock AgentCore Runtime Adds Stateful MCP Server

🔔 Amazon Web Services has added stateful Model Context Protocol (MCP) server capabilities to Amazon Bedrock AgentCore Runtime, enabling server-driven elicitation, sampling, and progress notifications alongside existing support for resources, prompts, and tools. Developers can now run each session in an isolated microVM and preserve session context across interactions using an Mcp-Session-Id header. These features support interactive, multi-turn workflows and real-time updates for long-running operations.
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Amazon Bedrock Enables Server-Side Tool Execution Now

🔧 Amazon Bedrock now supports server-side tool execution by integrating AgentCore Gateway with the Responses API. Customers can supply an AgentCore Gateway ARN and Bedrock will discover and invoke gateway tools during inference, eliminating client-side orchestration. Tool results are executed and streamed server-side in real time, with IAM-based access control preserved. This reduces latency and simplifies agentic workflows.
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Amazon Bedrock AgentCore Browser Adds Browser Profiles

🔐 Amazon Bedrock AgentCore Browser now supports browser profiles that persist authentication state across sessions. You can authenticate once, save cookies and local storage to a profile, and reuse it to keep agents logged in without repeated manual logins. Profiles offer flexible read-only and persistent modes and enable parallel sessions to share authentication, cutting session setup from minutes to tens of seconds for high-volume automated workflows.
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Amazon Bedrock Adds Server-Side Custom Tools for Responses

🔧 Amazon Bedrock now supports server-side tools in the Responses API using OpenAI API–compatible service endpoints. With Bedrock invoking tools directly rather than relying on client orchestration, AI applications can perform real-time, multi-step actions—searching the web, executing code, and updating databases—within the governance, compliance, and security boundaries of your AWS accounts. Developers may supply custom Lambda functions or use AWS-provided tools such as notes and tasks. Server-side tool use is available today for OpenAI's GPT OSS 20B and GPT OSS 120B in multiple AWS regions, with broader model and region support coming soon.
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Amazon Bedrock AgentCore: Custom Chrome Extensions

🔧 Amazon Bedrock AgentCore Browser now supports Chrome-compatible extensions uploaded to Amazon S3 for automatic installation into secure browser sessions. This capability builds on AgentCore secure browser features to enable complex automation workflows that standard browser automation cannot address alone. Typical uses include custom authentication flows, automated testing, and improved navigation or performance through ad blocking. The feature is available in nine AWS Regions where AgentCore is supported.
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TypeScript Preview and Updates for Strands Agents on AWS

🚀 AWS has announced TypeScript support in preview for the Strands Agents SDK, giving developers a choice between Python and TypeScript for building model-driven AI agents. The TypeScript implementation provides idiomatic, type-safe APIs with async/await and modern JavaScript/TypeScript patterns, and is designed to run in browsers, client applications, and server runtimes such as AWS Lambda and Bedrock AgentCore. AWS also introduced three SDK updates: edge device support is now GA, Strands steering is available experimentally, and Strands evaluations is in preview to help validate agent behavior.
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Amazon Bedrock AgentCore Adds Policy and Evaluations

🛡️ Amazon Web Services' AgentCore introduces preview features — Policy and Evaluations — to help teams scale agents from prototypes into production. Policy intercepts real-time tool calls via AgentCore Gateway and converts natural-language rules into Cedar for auditability and compliance without custom code. Evaluations offers 13 built-in evaluators plus custom model-based scoring, with all quality metrics surfaced in an Amazon CloudWatch dashboard to simplify continuous testing and monitoring.
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Bedrock AgentCore Runtime Adds Bi-Directional Streaming

🔁 Amazon Bedrock AgentCore Runtime now supports bi-directional streaming, enabling real-time, continuous conversations where agents listen and respond simultaneously and handle interruptions or context shifts mid-turn. This removes stop-start friction in voice and text agents and preserves context across exchanges. Built into AgentCore Runtime, the capability reduces months of engineering work required to implement streaming infrastructure, letting developers focus on agent experiences rather than plumbing. Available in nine AWS Regions with consumption-based pricing.
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Amazon API Gateway Adds MCP Proxy for Agent Integration

🤖 Amazon API Gateway now supports the Model Context Protocol (MCP) via a proxy, enabling organizations to expose existing REST APIs to AI agents and MCP clients without modifying their applications. Integrated with Amazon Bedrock AgentCore's Gateway, the feature performs protocol translation, indexes APIs for semantic tool discovery, and eliminates the need to host additional intermediary infrastructure. It also enforces dual authentication to verify agent identities for inbound requests while managing secure outbound connections to REST endpoints. The capability is available in nine AWS Regions and follows Amazon Bedrock AgentCore pricing.
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Amazon Connect Adds MCP Support for AI Agents and Tools

🤖 Amazon Connect now supports the Model Context Protocol (MCP), enabling AI-driven customer self-service and employee assistance agents to invoke standardized tools to fetch information and perform actions during interactions. Amazon Connect offers out-of-the-box MCP tools for tasks like updating contact attributes and retrieving case information, and allows flow modules to be exposed as MCP tools so business logic is reusable across deterministic and generative workflows. Organizations can also integrate custom or third-party tools via flow modules or the Amazon Bedrock AgentCore Gateway to automate actions such as order lookups, refunds, and customer-record updates without human intervention.
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Amazon Bedrock AgentCore Browser Adds Web Bot Auth Preview

🔐 Amazon Bedrock AgentCore Browser now previews Web Bot Auth, a draft IETF protocol that cryptographically identifies AI agents to websites. The feature automatically generates credentials, signs HTTP requests with private keys, and registers verified agent identities to reduce CAPTCHA interruptions and human intervention in automated workflows. It streamlines verification across major providers such as Akamai, Cloudflare, and HUMAN Security, and is available in nine AWS Regions on a consumption-based pricing model with no upfront costs.
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Amazon Bedrock AgentCore GA: Secure Agent Platform

🔐 Amazon Bedrock AgentCore is now generally available, offering an agentic platform to build, deploy, and operate agents securely at scale without infrastructure management. It adds VPC support, extended eight-hour runtimes, session isolation, and initial Agent-to-Agent (A2A) protocol support. Identity, Gateway, and Observability features provide secure authorization, tool discovery, and CloudWatch/OTEL monitoring.
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AgentCore Supports VPC, PrivateLink, CloudFormation

🔒 Amazon Web Services announced that Amazon Bedrock AgentCore Runtime, AgentCore Browser, and AgentCore Code Interpreter now support VPC connectivity, AWS PrivateLink, CloudFormation, and resource tagging. These additions let developers deploy AI agents that access private resources such as databases and internal APIs without internet exposure. CloudFormation integration enables infrastructure-as-code provisioning, while tagging provides cost allocation and access-control organization. AgentCore is in preview in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Frankfurt).
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Amazon Bedrock Data Automation Now in GovCloud (US-West)

🚀 Amazon Bedrock Data Automation (BDA) is now generally available in the AWS GovCloud (US-West) Region. BDA automates extraction of actionable insights from unstructured multimodal content—documents, images, video, and audio—helping developers accelerate GenAI-based applications like intelligent document processing and media analysis. It can run standalone or as a parser in Amazon Knowledge Bases RAG workflows and is now offered in eight AWS Regions.
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