News
Updates, product notes and practical coverage for AI platforms and operators.
AWS has launched a direct Web Search API for Amazon Bedrock AgentCore, returning ranked extracts from an Amazon-operated index without requiring a Gateway resource. The IAM-authenticated API supports domain, date and result-count controls, PrivateLink connectivity and CloudTrail data events, and costs US$7 per 1,000 queries across six regions including Sydney.
AWS has released a next-generation Amazon Bedrock AgentCore runtime with sub-two-second starts, sessions scaling to eight vCPUs and 32 GB, and more usage-aligned memory consumption. Hardware-isolated Firecracker MicroVMs remain the security boundary, while new filesystem mounting extends session controls to working data used by long-running agents.
AWS Marketplace now supports usage-based software metering for bidirectional streaming inference on Amazon SageMaker AI. Model providers can report consumption during live sessions through a companion metadata WebSocket, while customers retain separate endpoint infrastructure charges. Deepgram is the launch partner for speech-to-text and text-to-speech models.
AWS has assembled 23 open-source, production-oriented generative AI assets covering RAG, document processing, contact centres, migration and agent infrastructure. The catalogue includes security-reviewed deployment guidance and new AgentCore templates, aiming to replace repeated foundation work with reusable components that teams can adapt and maintain over time.
OpenAI has made GPT-5.6 Cyber available to approved Daybreak Red customers through Amazon Bedrock in AWS GovCloud US-East. The controlled service gives eligible government security teams stronger support for vulnerability research, exploit validation and mitigation work while retaining AWS provisioning, identity checks, monitoring and explicit human review requirements.
Malaysia’s U Mobile has expanded its AiDaH agentic operations platform to more than 150 scenarios across six divisions. Built on Amazon Bedrock AgentCore, the system coordinates diagnostics across hybrid telco systems while preserving human confirmation before live account changes, with reported ticket reductions of up to 84.5 per cent.
AWS has documented a four-layer context-engineering pattern using separate agent contexts, tighter prompts, file-based tools and independent verification. Its Deep Insight reference implementation reports major reductions in token use, showing how Amazon Bedrock AgentCore and Strands Agents can support longer data-analysis and report-generation workflows without overflowing model context windows.
Amazon Quick’s Smart Approvals reviews eligible agent actions against a user’s request and either approves the exact action once or returns it for human review. AWS says existing permissions remain authoritative, mandatory approvals stay intact, and CloudTrail plus CloudWatch records can help investigators reconstruct what occurred.
AWS has published a practical pattern for connecting specialised decision models to Amazon Bedrock AgentCore Evaluations. The approach uses code-based evaluators to return calibrated labels and confidence scores, allowing teams to screen every agent turn cheaply and reserve broader LLM-as-a-judge reviews for uncertain or complex cases.
Amazon has announced a worldwide Sustainability Deep Tech Accelerator spanning AWS, Devices and Private Brands. The programme will evaluate technologies for lower-carbon materials, energy efficiency and circularity, with applications opening in January 2027. AI and semiconductors are within scope, but participation carries no required equity and commercial adoption remains subject to separate technical and business approval.
AWS has published prompt-caching patterns for agents using OpenAI models on Amazon Bedrock. The guide compares stable-prefix design, cache checkpoints and workload measurement as tool definitions, instructions and conversation history grow across agent steps. Teams are advised to track cache writes, cache reads, latency and total input cost per workflow rather than assume repeated context automatically saves money.
AWS has published a CDK architecture for agentic retrieval using Managed Amazon Bedrock Knowledge Bases, AgentCore Gateway and Runtime, and the AgenticRetrieveStream API. The design lets an agent choose whether and where to retrieve, revisit sources and return cited answers without operating a vector database. It also adds observability for variable multi-step retrieval paths.
The Open Responses specification has joined the Agentic AI Foundation with AWS engineering and governance support. Based on OpenAI’s Responses API, it standardises model calls, streaming, tool use and conversation state across providers. Amazon Bedrock already supports the format across dozens of models, allowing OpenAI SDK applications to switch endpoints with fewer code changes.
Bayer Crop Science has built a multi-agent interface over its governed machine-learning workflow platform using Amazon Bedrock AgentCore and LangGraph. A supervisor routes natural-language questions to specialist agents with IAM-scoped tools and isolated sessions. AWS says the first phase resolves about 80 per cent of user questions without an engineer, while retaining execution history and operational controls.
AWS has published a measurement-driven autoscaling method for Kokoro-82M text-to-speech on SageMaker AI. It derives thresholds from per-instance concurrency before an SLO breach and the full time required to add capacity. The example measures 320.2 seconds of planned scale-out time and uses gated CDK deployment, drift checks, admission control and asymmetric cooldowns.
AWS has published an implementation guide for deploying Amazon Quick in environments handling protected health information. It distinguishes service eligibility from organisational compliance, covers BAAs, encryption, identities, knowledge-base ACLs, Quick Sight row and column security, audit logging and agent controls, and highlights irreversible choices such as account-default customer-managed keys.
IskayPet has built an Amazon Bedrock Managed Knowledge Bases assistant for retail, veterinary, onboarding and procurement teams across three countries and four languages. SharePoint remains the document source, with advanced indexing, citations and feedback feeding evaluation. The team used Kiro and Claude Haiku 4.5 to build the frontend, architecture and infrastructure.
AWS has upgraded Amazon Polly’s Generative engine with 14 voices across nine locales, including generally available Hindi and Finnish voices. Existing generative voice names and API calls remain unchanged, so applications receive the new model without code changes. Availability spans 11 commercial and GovCloud regions, including Sydney, while standard and neural engines remain unaffected.
AWS has published a technical guide to SageMaker AI training session APIs, which expose sampling, forward-backward, optimisation and checkpoint operations against a live GPU-backed session. Developers can implement supervised fine-tuning, preference optimisation or reinforcement learning locally while SageMaker handles distributed execution, model loading, fault recovery, isolation and managed accelerator capacity.
AWS and UC Berkeley have released Infinity as an Apache 2.0 research runtime for extreme agent concurrency. Instead of holding a process while a model waits on tools, approvals or events, Infinity saves conversation state, suspends the agent and resumes it later. The approach targets durable, event-driven workloads with far lower idle resource overhead.
AWS has published an end-to-end SageMaker AI multi-turn reinforcement learning guide using a Wordle agent hosted on Bedrock AgentCore. The example trains GPT-OSS-20B from episode-level rewards, lifting held-out solve rates from 61 to 84 per cent at serving settings while documenting reward design, validation differences, token costs and deployment requirements.
AWS has published a reusable CDK construct that deregisters SageMaker endpoint autoscaling before configuration updates, waits for the endpoint to return to service, then restores the scalable target and policy. The pattern addresses failed CloudFormation rollbacks and silent loss of scaling, using custom resources, dependency ordering, bounded waiters and configuration hashes.
AWS has published a SageMaker AI pattern that streams each completed agent sentence to the Kokoro-82M text-to-speech model instead of waiting for a full answer. Tests reduced transport time to first audio by 52.4 per cent and delivered 2.4-to-3.5-times faster end-to-end starts, while documenting binary transport, buffering and dependency-security trade-offs.
AWS has made SageMaker AI training sessions generally available for custom post-training loops without managing GPU clusters. Developers can implement supervised fine-tuning, preference optimisation or multi-turn reinforcement learning while SageMaker handles allocation, distributed execution, recovery and checkpoints. Initial model support includes GPT-OSS, Gemma and Qwen families with token-based metering.
Amazon Quick Sight now supports GeoJSON points and routes in layer maps, extending custom geospatial visualisation beyond polygons such as territories and districts. Teams can display stores, facilities, flights or logistics paths alongside business measures. The capability reduces external mapping work but still requires careful coordinate validation, access controls and performance testing for large datasets.
Deepgram has ported offline Nova-3 speech-to-text inference to AWS Trainium2, running eight replicas on one trn2.3xlarge instance. The company reports 11–70 per cent more audio processed per dollar for its workload and a further 7.5 per cent throughput gain from a Rust runtime. The results depend on static graphs, custom kernels and workload-specific tuning.
AWS has reviewed production conversational-AI deployments across patient access, clinical documentation, medical coding and virtual care. Examples include national triage lines, reduced call-handling time and shorter documentation workflows. The report also stresses clinical safety, traceability, regional regulation and human accountability as health systems move from single assistants towards coordinated agent-based services.
AWS has added Z.ai’s GLM 5.3 to Amazon Bedrock for eligible enterprise customers. The managed release supports coding and long-horizon agent workflows, a million-token context window, prompt caching, multiple API styles, selectable reasoning effort and cross-Region inference profiles without requiring customers to operate the underlying model infrastructure.
AWS has published a reusable architecture for hosting OpenClaw on Amazon Bedrock AgentCore with persistent memory, task-based model routing, skills and serverless infrastructure. The practical deployment guide shows how to isolate user context, survive runtime restarts, control operating cost and degrade gracefully when memory retrieval fails.
AWS has opened a public preview of Well-Architected Agent, which continuously analyses cloud resources and infrastructure-as-code against cost, security, performance and resilience goals. It can produce prioritised findings, CLI guidance, runbooks and updated templates. Access requires an eligible support plan, and AWS explicitly warns that generated recommendations may be incomplete or wrong.
AWS has made OpenAI GPT-6 Astra generally available through Amazon Bedrock. The launch gives organisations API access to the model for long-context reasoning, browser and computer use, while applying Bedrock controls for security, access governance and audited production workloads. today for production business workloads and governed enterprise teams