bedrock

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

WordPress boilerplate with Composer and Git, easier configuration, and an improved folder structure

A bridge/proxy allowing you to connect to Minecraft: Java Edition servers with Minecraft: Bedrock Edition.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Application implementation with business use cases for safely utilizing generative AI in business operations

AWS-native chatbot using Bedrock

A set of tools that gives agents powerful capabilities.

Ship RAG based LLM web apps in seconds.

OpenAI-Compatible RESTful APIs for Amazon Bedrock

Agent samples built using the Strands Agents SDK.

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

A model-driven approach to building AI agents in just a few lines of code.

AI-first Search & Answer Engine for work. Open-source alternative to Glean.

Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.