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
Learn how Microsoft Foundry helps developers build, deploy, and operate production-ready agents with Agent Framework, Toolboxes, hosted agents, Microsoft 365 di...
Foundry IQ: Build smarter agents faster with unified knowledge and serverless retrieval
Learn how Foundry IQ helps developers ground agents with unified enterprise knowledge, serverless retrieval, improved agentic retrieval quality, and production-...
What’s new in Microsoft Foundry | Build Edition
Microsoft Build 2026 brings a major set of Microsoft Foundry updates for developers building agents: hosted runtimes, Toolboxes, memory, Voice Live, Foundry IQ,...
Latest posts
Announcing Foundry Managed Compute: Run open models in Microsoft Foundry
Microsoft Foundry Managed Compute is a new GPU platform-as-a-service for hosting open-source and custom AI models behind the same endpoint, SDKs, and bill as frontier models.
Introducing Agent Optimizer in Foundry Agent Service
With hosted agents, we made it straightforward to build and deploy agents on Foundry. You write your logic, run azd deploy, and your agent is live. But “live” and “production-ready” aren’t the same thing. The gap shows up quickly. Your customer support agent handles requests, but it forgets to ask for an order number before looking up status. It answers warranty questions without checking the purchase date. It gives electrical wiring advice when it should decline and recommends a professional. Each fix means rewriting your system prompt, testing by hand, and hoping you didn’t break something else in the proces...
Making agent memory more reliable, transparent, and production-ready
Memory has always mattered for personalization and continuity. But as customers move agents from demos into production, another requirement becomes just as important: reliability. Enterprise teams need agents that not only remember facts, but also apply what they have learned to follow procedures consistently, recover from repeated failure modes, and complete tasks with greater confidence over time. Memory in Foundry Agent Service is built for this shift, with new procedural memory capability, management experiences, and a set of new features such as time-to-live that give developers more visibility and cont...
Discovery to Execution: Scaling Agents with Toolboxes and Routines in Microsoft Foundry
Tooling doesn’t break at a small scale—it breaks when teams move to production. AI adoption accelerates, so does the number of tools available to them. Discovering, managing and securing the right tools has quickly become one of the biggest challenges in building production-grade agents. Today, we are announcing new capabilities in Toolboxes in Foundry: Most of the capabilities in this post are delivered through Toolboxes in Foundry—the layer where agents discover, access, and use tools at runtime. Routines (preview) is the exception: it’s part of Foundry Agent Service and handles agent run c...
From Building Agents to Working with Them: Enterprise Agent Distribution in Microsoft Foundry
The past year was about building agents. The next year is about putting them to work. Organizations have moved quickly from experimenting with AI agents to building ones that perform complex business processes and execute long-running tasks. But the bottleneck has shifted. The challenge is no longer building agents — it's getting them into the hands of employees in the tools they already use and governing them at scale. Today we're announcing three things that close that last mile: Publish to Microsoft 365 Copilot and Teams In Foundry, you can publish any agent directly into M...
Build smarter document workflows: What’s new in Azure Content Understanding at Build 2026
Azure Content Understanding (CU) in Foundry Tools is Microsoft's comprehensive content AI service. It ingests diverse data types — documents, audio, images, and video — and extracts the most critical information to power well-grounded, reliable generative AI and agentic solutions. Azure Content Understanding brings together Azure Document Intelligence's proven traditional AI with advanced LLM-based content reasoning, enabling both structured and unstructured content extraction, as well as multimodal understanding to address your full spectrum of processing needs. Accelerating customer momentum Leading organizat...
A Developer’s Guide to Managing Models, Cost and Quality in Microsoft Foundry
Learn a practical model lifecycle for Microsoft Foundry: select the right model, evaluate quality, optimize cost, operate safely, and improve as production needs change.
Build agents you can trust across any framework with open evals and a control standard
Learn how Microsoft helps developers build trustworthy AI agents with open evaluations, portable runtime controls, production observability, and security workflows that work across frameworks.
Azure Translator: Improving Translation Quality with Adaptive Datasets and Few‑Shot Learning
Your healthcare app needs "La médica" not "El médico." Your legal documents need precise terminology, not generic translations. When domain-specific language matters, generic LLM translation falls short. Azure Translator's adaptive translation lets you teach the model your terminology with just a handful of examples—no model training required. In this walkthrough, you'll create an adaptive dataset, compare baseline vs. adapted translations side-by-side, and see exactly how much difference domain context makes. What you build The playground experience can help you evaluate several aspects of translation beh...