Amazon Bedrock launches Web Search for OpenAI GPT models

Amazon Bedrock has launched Web Search in general availability. This built-in server-side tool performs web search entirely within AWS, allowing OpenAI models (GPT-5.4, GPT-5.5, and GPT-5.6 Sol/Terra/Luna) to ground responses with current web knowledge while keeping data residency within the secured AWS environment with zero data egress. Previously, adding web grounding required onboarding third-party search providers, managing separate API keys and billing, building custom orchestration, and conducting additional compliance reviews for each external vendor. Web Search removes this overhead by enabling grounding with a single parameter in an existing API call, with no vendor onboarding, no external APIs to orchestrate, and no additional vendor security reviews. Built by Amazon with years of experience from Alexa+, Amazon Quick, and Kiro, Web Search combines a web index spanning tens of billions of documents refreshed continually with a built-in knowledge graph providing verified facts. Instead of returning raw pages, it performs semantic snippet extraction, delivering context-efficient results optimized for the model's context window with low latency. It integrates through a standardized tool-use interface compatible with the OpenAI Responses API. Simply add the web search tool to the API call, and Bedrock handles the entire search lifecycle server-side; a single API call returns a grounded response with citations. Web Search on Amazon Bedrock is now available in US East (N. Virginia), US East (Ohio), and US West (Oregon).