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
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...
Azure Translator API Version 2026‑06‑06 (GA): Supporting Multilingual Applications with Flexible Translation Options
Ship multilingual features in hours, not months Your translation workflow probably looks like this: one vendor for real-time chat, another for document translation, a custom LLM integration for nuanced content, and a spreadsheet tracking which system handles what. Azure Translator's new API (version 2026-06-06, now GA) consolidates all of this—NMT speed, LLM fluency, and adaptive customization—into a single endpoint. Why It Matters: Managing Trade‑offs Translation approaches often involve trade-offs. NMT is commonly used for fast, real‑time scenarios, while LLM-based approaches may provide more fluent ...
What’s New in Hosted Agents in Foundry Agent Service
A few weeks ago, we announced the public preview refresh of hosted agents in Foundry Agent Service — a fundamentally re-imagined agent runtime built for operationalizing production-grade AI agents in enterprise systems. Today at Microsoft Build, we are excited to share several updates that make hosted agents easier to deploy, more capable across modalities, and seamless to optimize through the agent loop. This article covers what's new, and what's coming. The Problems We Set Out to Solve Developers who want to take agents to production find themselves managing a list of things that have nothing to do with the a...
What’s new in Microsoft Foundry | May 2026
May ships trace-based evaluation for any agent on any cloud, Grok 4.3 and DeepSeek V4 in the model catalog, GPT-5 Reinforcement Fine-Tuning at gated GA, three Microsoft Research on-device agent models, Managed VNET at GA, project-level cost attribution, Content Understanding improvements reaching GA, Foundry Local 1.1 and 1.2 with live audio and vision, and azure-ai-projects 2.2.0 with skills, toolboxes, external agents, and model weight registry — plus a guide to Microsoft Foundry sessions at Microsoft Build.
How to run evals for the model router
Walk through running quality, cost, and latency evaluations for the Foundry model router using an open-source GitHub repo designed for router-aware eval pipelines.