Azure AI Foundry Blog
Your source for learning and building with our models, agents, and tools.
Latest posts

Integrating Semantic Kernel Python with Google’s A2A Protocol

Introducing the integration of Microsoft's Semantic Kernel with Google's A2A protocol, enabling Semantic Kernel agents to seamlessly exchange context, instructions, and data with other agents to collaboratively accomplish tasks.

Get started with the new Advanced Audio Models in Azure OpenAI Service


How to get started with Azure OpenAI's next-generation GPT-4o audio models for transcription and text-to-speech applications.

Azure AI Foundry: Create an MCP Server with Azure AI Agent Service (TypeScript Edition)

Learn how to integrate Azure AI Foundry's Agent Service with Claude Desktop using the Model Context Protocol (MCP) for powerful integration for MCP clients.

Azure AI Foundry Extension for Visual Studio Code is Available in Preview

Learn how to use Azure AI Foundry capabilities directly in VS Code with the Azure AI Foundry extension for Visual Studio Code, now available in public preview. Deploy Large Language Models, develop AI applications, and configure agents seamlessly within your favorite VS Code setup.

Unlocking the Power of Agentic Applications New Evaluation Metrics for Quality and Safety

New evaluation metrics in Azure AI Foundry help developers assess the quality and safety of agentic applications. These metrics enhance AI red teaming capabilities, enabling automated risk and safety evaluations through streamlined campaigns and regular assessments.

Introducing AI Red Teaming Agent: Accelerate your AI safety and security journey with Azure AI Foundry

AI Red Teaming Agent, integrated into Azure AI Foundry, enhances the safety and security of generative AI systems by providing automated scans, evaluating probing success, and generating detailed scorecards to guide risk management strategies.

Building AI Applications with Memory: Mem0 and Azure AI Integration

Learn how to integrate Mem0 with Azure AI Search and Azure OpenAI to create AI applications with persistent memory capabilities across conversations.

Introducing Model Context Protocol (MCP) in Azure AI Foundry: Create an MCP Server with Azure AI Agent Service

Learn how to integrate Azure AI Foundry's Agent Service with Claude Desktop using the Model Context Protocol (MCP) for powerful integration for MCP clients.

Welcome to the Azure AI Foundry Blog!

Introducing the Azure AI Foundry Blog—your essential guide to building, customizing, and scaling AI solutions with Microsoft’s open and modular AI platform.