patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
Azure-Samples/AI-Gateway
The Azure-Samples/AI-Gateway repository is a comprehensive experimental project focused on exploring and demonstrating the AI Gateway pattern using Azure API Management's AI capabilities. It integrates with Azure OpenAI, AI Foundry, and other AI services to provide a robust framework for managing AI service APIs with security, reliability, performance, and cost control. The project is structured around a series of labs implemented primarily in Jupyter notebooks, which include Python scripts, Bicep files, and Azure API Management policies. These labs cover a wide range of AI-related experiments such as real-time audio and text APIs with Azure OpenAI, integration of Model Context Protocol (MCP) tools, client authorization flows using MCP, and agentic AI experiments with OpenAI Agents SDK and AI Agent Service from Azure AI Foundry. The repository also includes labs for managing AI budgets through a FinOps framework, content filtering and prompt shielding, model routing based on OpenAI models, prompt flow integration with Azure AI Studio, backend pool load balancing, streaming tools for OpenAI, tracing and debugging OpenAI APIs, image processing with GPT-4o inferencing, and function calling with Azure Functions. The project emphasizes the importance of API management in the context of AI services, highlighting the need for a comprehensive AI Gateway pattern that extends traditional API management principles to support intelligent applications. A key focus is on the Model Context Protocol (MCP), with dedicated labs for experimenting with MCP client authorization flows and enabling plug-and-play tools for large language models (LLMs) through Azure API Management. The project aims to accelerate innovation and experimentation in AI by providing a well-architected framework for deploying intelligent applications confidently into production. Overall, this repository serves as a valuable resource for developers and organizations looking to leverage Azure's AI capabilities and implement advanced AI service management strategies using the AI Gateway pattern.
https://github.com/Azure-Samples/AI-Gateway
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