Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry ๐
# Add to your Claude Code skills
git clone https://github.com/Azure-Samples/AI-Gatewayโ AI Gateway workshop provides a comprehensive learning experience using the Azure Portal
<div> <a href="https://aka.ms/ai-gateway/workshop" target="_blank"><img src="./images/workshop.png" alt="workshop" width="300"></a> </div>โ Refactor most of the labs to use the new LLM built-in logging that supports streaming completions.
โ Realtime API (Audio and Text) with Azure OpenAI ๐ฅ experiments with the AOAI Realtime
โ Realtime API (Audio and Text) with Azure OpenAI + MCP tools ๐ฅ experiments with the AOAI Realtime + MCP
โ Model Context Protocol (MCP) โ๏ธ experiments with the client authorization flow
โ the FinOps Framework lab to manage AI budgets effectively ๐ฐ
โ Agentic โจ experiments with Model Context Protocol (MCP).
โ Agentic โจ experiments with .
โ experiments with from .
The rapid pace of AI advances demands experimentation-driven approaches for organizations to remain at the forefront of the industry. With AI steadily becoming a game-changer for an array of sectors, maintaining a fast-paced innovation trajectory is crucial for businesses aiming to leverage its full potential.
AI services are predominantly accessed via APIs, underscoring the essential need for a robust and efficient API management strategy. This strategy is instrumental for maintaining control and governance over the consumption of AI models, data and tools.
With the expanding horizons of AI services and their seamless integration with APIs, there is a considerable demand for a comprehensive AI Gateway pattern,...