Amazon Bedrock

Amazon Web Services has added three MiniMax models to Amazon Bedrock: M2, M2.1, and M2.5. The newest model, M2.5, uses a mixture-of-experts architecture with 230 billion total parameters and 10 billion active per token, trained specifically for agent-native execution and coding tasks.

Amazon Bedrock now supports NVIDIA Nemotron and OpenAI GPT OSS models in AWS GovCloud (US) Regions. The launch includes OpenAI's GPT OSS models (120B and 20B parameters, 128K context) and NVIDIA Nemotron 3 family (9B to 120B parameters, 1M context), providing government agencies FedRAMP High and DoD SRG Level 5-compliant AI inference on U.S. soil.

Amazon has added metadata filtering to its AgentCore Memory service for AI agents. In AWS evaluations across 151 questions, the feature improved overall question-answering accuracy from 40% to 64%, with context-dependent questions jumping from 16% to 69% accuracy. The update allows agents to filter memory retrieval by attributes like priority, department, or time range before semantic search runs.

AWS has published a technical implementation guide for automating healthcare claims processing using Amazon Bedrock Data Automation and Amazon Bedrock AgentCore. The pipeline extracts data from CMS-1500 claim forms, validates against AWS HealthLake records, and generates FHIR-compliant claim resources with automated notifications.

Amazon Web Services launched Web Search on Amazon Bedrock AgentCore, a fully managed web search capability that gives AI agents access to tens of billions of documents without requiring external search APIs. The service, now generally available, runs entirely within AWS infrastructure and refreshes its index within minutes of new content appearing online.

Amazon Web Services made its AgentCore harness generally available, reducing production AI agent deployment to two API calls: CreateHarness and InvokeHarness. The managed service handles sandboxed execution, memory, tool integration, and observability, eliminating infrastructure setup for teams building LLM agents.

Amazon Web Services has released new capabilities for Bedrock AgentCore, its platform for building AI agents. The update includes a managed knowledge base that handles vector storage and retrieval across enterprise data sources, native web search using Amazon's Alexa infrastructure, and a payment system enabling agents to access paid content and APIs.

Amazon Web Services launched the InvokeGuardrailChecks API for Amazon Bedrock Guardrails, enabling developers to apply individual safety checks at any point in agentic AI applications without provisioning guardrail resources. The API operates in detect-only mode and returns numeric scores (0-1 scale) for each safeguard, allowing developers to define custom thresholds and actions in their application logic.

Amazon Web Services today announced availability of Google DeepMind's Gemma 4 family on Amazon Bedrock. The open-weight models include three instruction-tuned variants spanning 2.3B to 30.7B parameters, with 256K context windows, multimodal input support, and built-in reasoning mode.

AWS has launched LangChain Deep Agents, an orchestration framework that spawns isolated subagents using Amazon Bedrock AgentCore infrastructure. AgentCore provides dedicated browser MicroVMs running Chromium via Playwright and full Python environments with pre-installed data science libraries, enabling parallel agent execution without context window competition.

AWS published a technical guide showing how Amazon Nova 2 Lite performs object detection through natural language prompts without requiring model training. The multimodal model returns bounding box coordinates in JSON format at $0.0003 per thousand input tokens and $0.0025 per thousand output tokens, with typical images costing approximately $0.00057 to process.

OpenAI's GPT-5.5 and GPT-5.4 models are now generally available on Amazon Bedrock, with pricing matching OpenAI's first-party rates. Codex, OpenAI's coding agent used by 5 million developers weekly, is also available with pay-per-token pricing and no seat licenses.

Amazon Web Services released Amazon Bedrock Data Automation (BDA), a foundation model-powered service designed to extract and validate structured data from financial documents. The service uses custom blueprints to process bank statements, W-2 tax forms, 1099-B forms, and vendor contracts, offering what AWS claims is industry-leading accuracy at lower cost than using foundation models directly.

AWS has launched Amazon Bedrock AgentCore, a serverless runtime environment for deploying production AI agents. Turkish fulfillment company OPLOG demonstrated the platform's capabilities by building three business intelligence agents using Anthropic's Claude Sonnet, achieving a 35% reduction in sales cycles and 98% reduction in manual research time.

AWS has added four multimodal evaluators to its Strands Evals SDK that judge image-to-text AI outputs by directly analyzing source images. The evaluators—Overall Quality, Correctness, Faithfulness, and Instruction Following—use multimodal large language models to detect visual hallucinations, factual errors, and instruction violations that text-only judges miss.

Amazon Bedrock AgentCore Browser now supports Chrome enterprise policies and custom root CA certificates, giving organizations control over 450+ browser settings for AI agents. The feature enables URL filtering, download restrictions, password manager controls, and connectivity to internal services through custom certificate authorities.

AWS announced general availability of Claude Platform on AWS, enabling direct access to Anthropic's native APIs, tools, and console through existing AWS accounts. The service includes the Messages API, Claude Managed Agents, web search, MCP connector, and code execution, authenticated via AWS IAM and billed through AWS Marketplace.

AWS announced Amazon Bedrock AgentCore Payments (preview), enabling AI agents to autonomously discover and pay for APIs, web content, MCP servers, and other agents. Built with Coinbase and Stripe, the service supports micropayments through the x402 protocol with per-session spending limits and full transaction observability.

AWS announced OS Level Actions for Amazon Bedrock AgentCore Browser, extending agent automation beyond the browser's Document Object Model to interact with native operating system UI. The feature enables agents to control system dialogs, security prompts, and context menus through direct mouse and keyboard commands at the OS level.

Amazon Web Services released AgentCore Optimization in preview, introducing an automated performance loop that generates configuration recommendations from production traces, validates them through batch evaluation and A/B testing, and enables continuous agent optimization. The system targets the quality drift problem where AI agents degrade as models evolve and user behavior shifts.

Anthropic announced Claude Cowork is now available on Amazon Bedrock, allowing organizations to deploy the desktop AI assistant through their AWS infrastructure with consumption-based pricing. Unlike Claude Enterprise, pricing flows through existing AWS agreements with no per-seat licensing from Anthropic.

Amazon Web Services released a model distillation pipeline on Amazon Bedrock that transfers video search routing intelligence from Nova Premier to Nova Micro. According to AWS, the approach reduces inference cost by over 95% and latency by 50% compared to using Claude Haiku for intent routing.

Amazon released Nova Multimodal Embeddings on Amazon Bedrock, a unified embedding model that processes text, documents, images, video, and audio into a shared 1024-dimensional semantic vector space. The model supports up to 30 seconds of video per embedding and enables semantic search across all modalities simultaneously without converting video to text first.

AWS has enabled fine-tuned Amazon Nova Micro models to run on Bedrock's on-demand inference for text-to-SQL generation. According to AWS testing, a sample workload of 22,000 queries per month costs $0.80 monthly using the serverless approach, compared to higher costs with persistent model hosting. The solution uses LoRA fine-tuning on the sql-create-context dataset containing over 78,000 SQL examples.

AWS has released Automated Reasoning checks in Amazon Bedrock Guardrails, a feature that uses formal mathematical verification to validate AI outputs against defined rules. Unlike LLM-as-a-judge approaches that use one probabilistic model to validate another, Automated Reasoning provides mathematically proven, auditable compliance evidence for regulated industries.

An internal memo from OpenAI Chief Revenue Officer Denise Dresser outlines a new model codenamed 'Spud' for improved reasoning and production reliability, an agent platform called 'Frontier,' and expanded Amazon partnership. The memo also accuses Anthropic of inflating its $30B run rate by roughly $8B through gross revenue accounting.

Amazon Bedrock now enables fine-tuning of Amazon Nova models using supervised fine-tuning (SFT), reinforcement fine-tuning (RFT), and model distillation. The service automates infrastructure provisioning and training orchestration, requiring only data upload to S3 and a single API call. Fine-tuned models run on-demand at standard inference pricing without provisioned capacity requirements.