bedrock

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AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

AI & Automation 1,158 stars 443 forks Updated 5 days ago MIT

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# 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](#core-concepts) - [Common Patterns](#common-patterns) - [CLI Reference](#cli-reference) - [Best Practices](#best-practices) - [Troubleshooting](#troubleshooting) - [References](#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 `b...

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Author
itsmostafa
Repository
itsmostafa/aws-agent-skills
Created
7 years ago
Last Updated
5 days ago
Language
Python
License
MIT

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