AWS Step Functions workflows now available as AI agent tools
AWS Step Functions workflows can now be used as tools for AI agents via Amazon Bedrock AgentCore Gateway. This allows agents to trigger multi-step business processes and monitor workflow execution.
Also shipped Oct 29, 2026AWS in October 2026 →
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Gemini-powered Explore summaries in Looker are generally available
The ability to generate summaries of Looker Explores using Gemini assistance is now generally available.
Dashboard relationships are now generally available
Dashboard relationships, which enable multi-fact data models in AI/BI dashboards, are now generally available.
Looker bullet chart visualization is generally available
The bullet chart visualization type is now generally available in Looker, allowing users to evaluate metric performance against targets and thresholds.
Xero connector is available in Beta
The managed Xero connector is now available in beta for Databricks Lakeflow Connect, supporting incremental ingestion of accounting data.
More from Amazon BedrockEvery Amazon Bedrock release →
Amazon Bedrock AgentCore CLI version 1.0 is now available
Amazon Bedrock AgentCore CLI version 1.0 is now generally available, featuring faster startup, a consistent command structure, and support for managing AI agent resources directly from the terminal.
Amazon Bedrock now offers Canada cross-Region inference for Claude Haiku 5.5
Amazon Bedrock now offers Canada cross-Region inference (CRIS) for Anthropic's Claude Haiku 5.5. Customers with strict data residency requirements can now keep inference processing entirely within Canada. Canada CRIS routes requests only between ca-central-1 (Canada Central) and ca-west-1 (Canada West, Calgary).
OpenAI GPT-6.1 Terra is now generally available on Amazon Bedrock
OpenAI GPT-6.1 Terra is now generally available on Amazon Bedrock, offering improved visual reasoning and computer use capabilities for enterprise workloads.
Web Search on AWS Bedrock now supports domain filtering and user location controls
Web Search on Amazon Bedrock now supports domain filtering to restrict sources and user location controls to improve result relevance.
AgentCore Gateway now supports Bedrock InvokeModel APIs and model fallback
AgentCore Gateway now supports Bedrock InvokeModel APIs and automatic model fallback routing. This allows developers to route traffic across multiple providers and automatically switch to healthy models if the primary destination fails.
Structured outputs for Claude models available on Amazon Bedrock
Amazon Bedrock now supports structured outputs for all Anthropic Claude models across both the bedrock-runtime and the bedrock-mantle endpoint. Whether you call Claude through boto3 and the bedrock-runtime APIs or through the Messages API and the bedrock-mantle endpoint, you can now receive schema-compliant JSON responses that conform to a defined...
Amazon Bedrock Guardrails now supports Standard tier for contextual grounding checks
Amazon Bedrock Guardrails now offers a Standard tier for contextual grounding checks, which detect and filter hallucinations by checking whether a model response is grounded in your reference source and relevant to the user's query. The Standard tier is more robust than the Classic tier.
Amazon Bedrock Advanced Prompt Optimization now supports prompt shortening
Amazon Bedrock Advanced Prompt Optimization now supports prompt shortening, an optional setting that reduces the length of your prompt while maintaining or improving your evaluation scores. Advanced Prompt Optimization optimizes prompts for any model on Amazon Bedrock against your own evaluation criteria. Until now, optimization focused on quality alone.