AWS First Steps
LanguageEnglish
New feature

Amazon Bedrock now supports reasoning summaries for OpenAI models

Amazon Bedrock now supports the reasoning.summary parameter for OpenAI models, allowing developers to retrieve a human-readable summary of a model's reasoning alongside its response

Amazon Bedrock supports the reasoning.summary parameter with OpenAI models via the Responses API, allowing developers to retrieve human-readable summaries alongside model responses for understanding complex tasks like code generation, analysis, and multi-step problem solving. Summaries are returned in the summary array of inference output items. This feature is available in all AWS regions where OpenAI GPT models are offered, supporting intra-region, cross-region (geographic), and global cross-region inference.

Why it matters

Developers can use this feature to evaluate model responses, debug applications, and show users how a model approached a request

Read the original AWS announcement

Related articles and terms

Amazon BedrockA fully managed service that provides access to multiple large language models via API, with built-in customization using your own data and configurable guardrailsThe Layered Architecture of AWS AI/ML Services - Flexibility Through the Three Tiers of SageMaker, Bedrock, and API ServicesThis article organizes AWS AI/ML services into three layers - SageMaker (full control), Bedrock (managed generative AI), and Rekognition/Comprehend/etc. (API-based) - and explains AWS's flexibility through comparisons with GCP Vertex AI and Azure OpenAI Service, including custom silicon integration.Generative AI Platform - Building an Enterprise AI Foundation with Amazon BedrockLearn how to build generative AI applications using Amazon Bedrock. This guide covers foundation model selection, RAG pattern implementation, safety guardrails, and SageMaker integration for designing enterprise-grade AI infrastructure.Using Claude on Amazon Bedrock - Model Selection, Prompt Design, and Cost OptimizationCompares the Anthropic Claude models available on Amazon Bedrock, provides model selection guidelines by use case, and covers prompt design best practices and cost optimization.Amazon SageMakerA fully managed platform for building, training, and deploying machine learning models end-to-end, significantly boosting productivity for data scientists and ML engineers