Amazon Web Services has launched AgentCore Runtime on Bedrock, providing dedicated Linux microVMs with persistent 14-day storage for coding agents. The service eliminates the need to keep laptops open during agent sessions and supports parallel execution of Claude Code, Codex, Kiro, OpenCode, and other coding agents with isolated environments.
Amazon has released an open-source testing framework for Nova Sonic voice agents that automates multi-turn conversation evaluation without requiring human testers. The harness uses LLM-as-judge techniques to assess voice agents across six metrics including goal achievement, response accuracy, and tool usage, addressing a critical QA bottleneck in voice AI development.
AWS has published a technical guide on hyperparameter optimization for Amazon Nova Forge, its platform for building custom frontier models from Amazon Nova checkpoints. The guide addresses three core challenges: catastrophic forgetting during domain specialization, learning rate calibration when mixing proprietary and curated training data, and baseline performance constraints for reinforcement fine-tuning.
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.
Amazon Web Services launched Policy Engine and Lambda interceptors for Bedrock AgentCore gateway, enabling enterprises to control which tools AI agents can access and validate requests dynamically. The Policy Engine uses Cedar declarative policy language for deterministic access decisions, while Lambda interceptors run custom code before or after each tool call for validation, token exchange, and response filtering.
Amazon Web Services introduced dataset management in Bedrock AgentCore, enabling developers to build versioned test suites with immutable baselines for agent evaluation. The feature supports predefined scenarios with ground truth assertions and user simulation scenarios where LLM-backed actors conduct multi-turn conversations.
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 deployed Amazon Bedrock AgentCore to orchestrate more than 20 specialized AI agents across its global sales organization through a unified interface called Field Advisor. The system has processed over 120,000 prompts since launch, delivering a 41% latency reduction compared to previous infrastructure and saving large-scale sales reps up to 2 hours per week on CRM tasks.
Amazon Nova Act, AWS's browser-based AI agent service, now qualifies as HIPAA eligible, allowing healthcare organizations to deploy autonomous agents for workflows involving electronically protected health information. The service automates repetitive browser tasks including claims processing, referral coordination, and prior authorization.
Amazon Web Services released AgentCore Code Interpreter, a sandboxed Python environment that enables recursive language models to process documents of unlimited length by treating context as an external environment rather than loading it into the model's context window. The system orchestrates sub-LLM calls from within the sandbox, maintaining intermediate results as Python variables across a persistent session.
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.
Amazon SageMaker AI has launched bidirectional streaming support for real-time inference, enabling WebSocket-based voice applications through vLLM integration. The feature uses HTTP/2 on port 8443 to bridge client connections with vLLM's Realtime API, allowing audio to stream in while transcription streams back simultaneously over a single persistent connection.
AWS released Amazon Nova Sonic, a speech-to-speech foundation model for voice agents, alongside AgentCore Runtime, a serverless hosting environment with WebSocket streaming and microVM isolation. The framework supports three integration patterns: direct tool calls via AgentCore Gateway using Model Context Protocol (MCP), sub-agent delegation with Agent-to-Agent (A2A) protocol, and session segmentation for multi-step workflows.
Amazon Bedrock now supports programmatic tool calling (PTC), a technique that allows LLMs to generate Python code for multi-step tool orchestration rather than making sequential API calls. AWS offers three implementation paths: self-hosted Docker sandboxes on ECS, managed execution via Amazon Bedrock AgentCore Code Interpreter, and Anthropic SDK-compatible proxy integration.
AWS published a technical guide for prompting Amazon Nova 2 Lite for content moderation without fine-tuning. The approach uses the MLCommons AILuminate Assessment Standard's 12-category hazard taxonomy and includes XML/JSON structured prompts and few-shot learning examples for high-throughput moderation pipelines.
Amazon launched Alexa Podcasts today in the U.S., a feature that generates custom podcast episodes on demand using AI-generated host voices. The company claims partnerships with the Associated Press, Reuters, The Washington Post, and over 200 local newspapers to improve content accuracy.
Amazon has launched Alexa for Shopping, integrating its Rufus chatbot into the main shopping experience across its app, website, and Echo Show devices. The assistant is free for all signed-in US customers and includes price tracking, automated purchasing, and conversational shopping features. Rufus served over 300 million customers in 2025, according to Amazon.
Amazon has released Stream's Vision Agents, an open-source Python framework for building real-time voice AI agents that integrates with Amazon Nova 2 Sonic through Bedrock. The system delivers end-to-end latency under 500 milliseconds using Stream's global edge network with sub-30ms audio latency and typically sub-500ms join times.
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 has integrated WebRTC protocol support with Amazon Nova Sonic, its speech-to-speech model, through Amazon Kinesis Video Streams. The integration delivers real-time voice streaming with sub-second latency and includes adaptive bitrate control, forward error correction, and Voice Activity Detection for mobile and IoT applications.
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