Amazon Web Services (AWS) announced that the Web Search built-in server-side tool on Amazon Bedrock is now available in AWS GovCloud (US-West), targeting compliance-sensitive government and public-sector workloads. ^[1] Researchers propose AutoXRD, an autonomous large language model agent framework that organizes powder X-ray diffraction analysis as stepwise refinement. ^[2] According to Amazon Web Services, Web Search grounds responses from supported OpenAI GPT models with information from the web and includes citations so users can trace each claim back to its web origin. ^[3] Amazon Web Services said the Web Search tool runs inside Amazon Bedrock, meaning customers do not need to host a search index, manage crawlers, or write the tool-call loop themselves. ^[4] Amazon Web Services stated that by default, Web Search keeps request data within the AWS boundary and is governed by AWS Identity and Access Management (IAM), allowing administrators to allow or deny it at the account or organization level and restrict it by Region. ^[5] Models averaged only 57.8 out of 100 points across 1,340 model-task runs, falling from 61.9 on XRDBench-QA to 53.7 on XRDBench-E2E. ^[6] Models performed best on refinement-history assessment and result acceptance but remained substantially weaker on refinement-action selection, phase quantification, indexing, and Rietveld refinement. ^[7] The AutoXRD framework grounds actions in observed evidence and applies deterministic crystallographic and physical checks before accepting results. ^[8]