AWS Bedrock

Amazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities.

Table of Contents

• Core Concepts
• Common Patterns
• CLI Reference
• Best Practices
• Troubleshooting
• References

Core Concepts

Foundation Models

Pre-trained models available through Bedrock:

• Claude (Anthropic): Text generation, analysis, coding
• Nova / Titan (Amazon): Text, multimodal, embeddings
• GPT / gpt-oss (OpenAI): Text generation, reasoning
• Llama (Meta): Open-weight text generation
• Mistral: Efficient text generation
• Stable Image (Stability AI): Image generation and editing

Model Access

In commercial Regions, access to all serverless models is enabled by default (no console opt-in). In GovCloud (US), models are still enabled manually on the Model access page (third-party models also in the linked commercial account):

• First invocation of a third-party model auto-subscribes via AWS Marketplace (up to 15 min); caller needs aws-marketplace:Subscribe, Unsubscribe, ViewSubscriptions
• Anthropic models on bedrock-runtime need a one-time use case form per account/org (put-use-case-for-model-access)
• Invoking implies EULA acceptance; to block a model, deny both bedrock:InvokeModel and bedrock:InvokeModelWithResponseStream on it (SCP/IAM); streaming APIs such as ConverseStream use the latter. Denying aws-marketplace:Subscribe alone does not block first use

Endpoints