Microsoft Foundry Blog

Your source for learning and building with our models, agents, and tools.

Featured posts

Build and run agents at scale with Microsoft Foundry at Build 2026
Jun 2, 2026
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Build and run agents at scale with Microsoft Foundry at Build 2026

Tina Schuchman

Learn how Microsoft Foundry helps developers build, deploy, and operate production-ready agents with Agent Framework, Toolboxes, hosted agents, Microsoft 365 di...

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Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval
Jun 2, 2026
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Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval

Pablo Castro

Learn how Foundry IQ helps developers ground agents with unified enterprise knowledge, serverless retrieval, improved agentic retrieval quality, and production-...

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What’s new in Microsoft Foundry | Build Edition
Jun 2, 2026
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What’s new in Microsoft Foundry | Build Edition

Nick Brady

Microsoft Build 2026 brings a major set of Microsoft Foundry updates for developers building agents: hosted runtimes, Toolboxes, memory, Voice Live, Foundry IQ,...

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Latest posts

Feb 18, 2026
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What’s new in Microsoft Foundry | Dec 2025 & Jan 2026

Nick Brady

Catch up on all the new models, audio updates, fine-tuning expansions, and SDK updates from Microsoft Foundry spanning December 2025 and January 2026 — including GPT-5.2, Codex Max, DeepSeek V3.2, FLUX.2, and the azure-ai-projects v2 beta consolidation.

Feb 13, 2026
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DPO Fine-Tuning Using Microsoft Foundry SDK

Jayesh Tanna

In the rapidly evolving landscape of large language models (LLMs), achieving precise control over model behavior while maintaining quality has become a critical challenge. While models like GPT-4 demonstrate impressive capabilities, ensuring their outputs align with human preferences—whether for safety, helpfulness, or style—requires sophisticated fine-tuning techniques. Direct Preference Optimization (DPO) represents a breakthrough approach that simplifies this alignment process while delivering exceptional results. This comprehensive guide explores DPO fine-tuning, explaining what it is, how it works, when t...

Feb 11, 2026
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Beyond the Prompt – Why and How to Fine-tune Your Own Models

Radhika Bollineni

Large Language Models (LLMs) have reached a point where general intelligence is no longer the bottleneck. The real challenge in enterprise AI systems behavioral alignment ensuring models that produce consistent, reliable, policy-compliant outputs on a scale. Prompt engineering and Retrieval-Augmented Generation (RAG) are powerful but they do not change model behavior. Fine-tuning will solve this by customizing a pretrained AI model with additional training on a specific task or dataset to improve performance, add new skills, or enhance accuracy. This post explores what Microsoft Foundry fine-tuning is, when us...

Feb 6, 2026
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Building an AI Skills Executor in .NET: Bringing Anthropic’s Agent Pattern to the Microsoft Ecosystem

Matt Kruczek

We welcome guest author, Matt Kruczek, to share how to build a complete Skills Executor in .NET, combining Azure OpenAI with the Model Context Protocol (MCP) C# SDK to bring the same agentic patterns to the Microsoft ecosystem. You’ll see how to define reusable skills, connect local and external tools, and orchestrate intelligent agent loops—so enterprise teams can standardize AI behavior without hardcoding business logic.

Dec 18, 2025
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What’s new in Microsoft Foundry | October and November 2025

Jenn Cockrell

Azure AI Foundry is now Microsoft Foundry. Read the latest announcements about agents, models, tools and more.

Dec 7, 2025
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Foundry IQ in Microsoft Agent Framework

Farzad,
Eduard

Build enterprise-grade RAG agents with Foundry IQ Knowledge Bases in ~20 lines of Python. Learn how the Azure AI Search Context Provider brings intelligent, multi-hop retrieval to the Microsoft Agent Framework—no fragmented pipelines, just plug in the knowledge your agent needs.

Dec 3, 2025
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Announcing Foundry MCP Server (preview) in the cloud, speeding up AI development with Microsoft Foundry

SeokJin Han

MCP (Model Context Protocol) is a standard protocol that enables AI agents to securely connect with apps, data, and systems, supporting easy interoperability and seamless platform expansion. At Ignite, Microsoft Foundry introduced Foundry Tools, which serves as a central hub for discovering, connecting, and managing both public and private MCP tools securely, simplifying integration across more than 1,400 business systems and empowering agents. Microsoft Foundry also upleveled Foundry Agent Service to empower developers to securely build, manage, and connect AI agents with Foundry Tools, enabling seamless integra...

Dec 2, 2025
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⭐Upcoming Virtual Event⭐ AI Dev Days, Level-Up Your AI Skills with Microsoft Reactor

Jenn Cockrell

Join us for AI Dev Days, a two-day virtual event exploring the latest Microsoft Azure, Foundry and GitHub innovations. Whether you’re modernizing legacy apps, building with agents, or exploring the newest AI models, this is your moment to skill up, ship faster, and connect with experts.

Nov 25, 2025
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Introducing Memory in Foundry Agent Service

Lewis,
Paul,
Takuto

Give your agents the power to remember  Imagine your agent never asks the same question twice. Until now, most agents have been stateless. Each conversation resets to zero, forgetting what users said just minutes ago or weeks ago. Developers tried to bridge this gap with homegrown solutions — storing embeddings in databases, manually retrieving prior messages, or stuffing entire chat histories into prompts. These workarounds add latency, cost, and complexity, and still fall short of delivering truly personal, context-aware interactions.  At Ignite 2025, we introduced the public preview of memory in Foundry Ag...