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Amazon Introduces Web Search API for Bedrock AgentCore

🏢 Big Tech 2 min read 👁 0

Amazon has launched the Web Search API on Amazon Bedrock AgentCore, allowing developers to query live web data through a direct API call without setting up a gateway.

Amazon Introduces Web Search API for Bedrock AgentCore🏢Big Tech

Photo: AWS Machine Learning Blog

Key points

  • Amazon launched the Web Search API on Bedrock AgentCore for direct web queries.
  • The tool uses existing AWS IAM credentials and requires no separate API keys.
  • Support is included in updated LangChain and AgentCore Python SDK releases.

Amazon has expanded its Bedrock AgentCore capabilities with the release of a new Web Search API, designed to provide developers with direct access to real-time information. While the existing AgentCore Gateway remains the recommended approach for managing multiple tools through a single Model Context Protocol endpoint, the new API offers a lower-level integration point for custom code, agent loops, and data pipelines.

The service operates on the same underlying search infrastructure that powers other Amazon products, utilizing standard AWS Identity and Access Management credentials and AWS Signature Version 4 for authentication. Developers can invoke the InvokeWebSearch operation directly from AWS SDKs or the AWS Command Line Interface without needing to manage separate API keys or pre-create gateway resources.

According to the company, the Web Search API integrates with popular frameworks such as LangChain and LangGraph via updated Python SDK packages, supporting customizable rules like domain filters and date parameters. Default quotas are set at 10 requests per second per account in each region, with options for enterprises to request increases.

What to watch next: Monitor how enterprise adoption scales as developers integrate the new search API into custom AI agents and automated data workflows.

Source AWS Machine Learning Blog — aws.amazon.com/blogs/machine-learning/introducing-the-web-search-api-on… ↗

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