Azure AI Foundry
Overview
A comprehensive platform for building, customizing, and managing AI applications and agents at scale.
Azure AI Foundry is Microsoft's all-in-one platform designed to simplify the development, deployment, and management of AI applications and agents. It offers a rich set of AI capabilities and tools through a unified portal, SDKs, and APIs, facilitating secure data integration, model customization, and enterprise-grade governance. Developers can explore a diverse model catalog, including foundation, open-source, industry-specific, and task-based AI models, to build transformative AI solutions efficiently.
AI Agent Store research
What the evidence says about Azure AI Foundry
Azure AI Foundry is now documented as Microsoft Foundry, Microsoft's managed platform for building, deploying, evaluating, monitoring, and governing AI applications and agents. It is infrastructure and an agent-development platform, not a single agent, and supports both configuration-only prompt agents and code-based hosted agents.
Last reviewed August 23, 2026
Verified capabilities
- Multiple agent development paths
Teams can create prompt agents managed by Foundry or deploy code-based hosted agents built with supported frameworks or custom code.[2]
- Unified model and agent APIs
The Foundry API provides a common contract across model providers, with SDKs for Python, C#, JavaScript or TypeScript, and Java.[1]
- Deployment, monitoring, and governance
The portal manages agents, models, and tools with tracing, metrics, model tracking, Azure Policy, identity, and publishing to Microsoft 365, Teams, BizChat, or containerized targets.[1], [3]
Where it fits best
Buying and deployment notes
The Foundry platform is free to use and explore, but pricing occurs at the deployment level. Models, agents, tools, hosted CPU and memory, monitoring, and other underlying Azure services have their own billing models.[1], [3], [4]
Platforms: Microsoft Foundry portal, REST API, Python SDK, .NET SDK, JavaScript or TypeScript SDK, Java SDK, Visual Studio Code extension, Microsoft 365, Microsoft Teams[1], [2], [3]
Deployment: Managed prompt agents, Managed hosted agents from containers, Managed hosted agents from source code, External applications using the Responses API, Containerized application publishing[1], [2], [3]
Important considerations
- Foundry requires an Azure account, and underlying model, agent, tool, monitoring, storage, and networking services can all add separate charges.[1], [4]
- Hosted agents require code packaging, deployment infrastructure, permissions, and supported-region availability, unlike configuration-only prompt agents.[2], [3]
- Managed hosted-agent runtime billing is based on CPU and memory consumed during active sessions, in addition to model and other Azure service costs.[3], [4]
Sources and research method (4)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- What is Microsoft Foundry? | Microsoft LearnDocumentation · checked 2026-08-23
- What is Microsoft Foundry Agent Service? | Microsoft LearnDocumentation · checked 2026-08-23
- Hosted agents in Foundry Agent Service | Microsoft LearnDocumentation · checked 2026-08-23
- Plan and Manage Costs | Microsoft FoundryPricing page · checked 2026-08-23
Autonomy level
89%
Comparisons
Custom Comparisons
Some of the use cases of Azure AI Foundry:
- Developing and deploying custom AI applications with integrated tools and services.
- Exploring and evaluating a wide range of AI models for various use cases.
- Collaborating on AI projects with team members in a secure environment.
- Scaling AI solutions from proof of concept to full production seamlessly.
- Ensuring responsible AI practices with built-in safety and compliance features.
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Popularity level: 74%
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