Microsoft Foundry Launches GPT-5.6, Asia-Pacific Data Zone, and Hosted Agents, Ushering in New Era for Production AI

Microsoft today announced the general availability of GPT-5.6 in Microsoft Foundry, alongside the new Asia-Pacific Data Zone and hosted agents within the Foundry Agent Service. This significant expansion of Microsoft’s end-to-end platform for building, running, governing, and distributing AI agents marks a pivotal moment, moving the promise of agentic AI from roadmap to reality for over 100,000 organizations already building on the platform. Industry leaders like Adobe, Telefónica, and Tata Consultancy Services are already deploying agents in production environments, leveraging Foundry to integrate AI seamlessly into their core business operations.

The announcements, made today, build upon a commitment laid out at Microsoft Build, emphasizing the ability for developers to build agents where they already work, deploy them on trusted infrastructure, and distribute them to end-users without the complexity of stitching together disparate systems. This unified approach aims to empower organizations to transition from AI experimentation to robust production deployments, backed by enterprise-grade identity, security, and compliance controls, with distribution extending across Microsoft 365.

The Pillars of Microsoft Foundry for Agentic AI

Microsoft Foundry is positioned as the industry’s leading platform for agent development and deployment, built upon three core pillars designed to streamline the AI lifecycle:

• Build: Empowering developers to create agents using their preferred frameworks and models, integrating with familiar tools like GitHub Copilot and Microsoft Visual Studio Code.
• Run: Providing a scalable and secure infrastructure for agents to operate, with flexible deployment options that cater to data sovereignty and compliance needs.
• Govern: Ensuring responsible AI deployment through robust controls for security, compliance, observability, and cost management.

These pillars are now further strengthened by the latest updates, enabling organizations to build, run, and scale production-ready AI agents on a singular, integrated platform.

Empowering Developers: Frameworks, Models, and the Foundry Toolkit

Agent development is designed to commence within existing developer workflows, leveraging tools such as GitHub Copilot and Microsoft Visual Studio Code. The Foundry Toolkit for VS Code, coupled with the Foundry Skill, facilitates seamless deployment to Foundry. Whether teams utilize the Microsoft Agent Framework, the GitHub Copilot SDK (now generally available), or the Claude Agent SDK, Foundry serves as the ultimate production destination. This flexibility extends to the core of agent capability: the underlying AI models.

Accessing Frontier Models: The GPT-5.6 Series

The efficacy of an AI agent is directly correlated with the sophistication of its reasoning model. Microsoft Foundry addresses this by providing access to a diverse array of industry-leading frontier, open-source, and task-specific models through a unified platform. This allows development teams to select the optimal model for each unique workload, moving beyond a one-size-fits-all approach.

Today’s announcement highlights the general availability of OpenAI’s GPT-5.6 series within Microsoft Foundry Models and the Microsoft Foundry Agent Service. This series includes:

• GPT-5.6 Sol: Designed for complex reasoning and nuanced understanding, ideal for strategic decision-making and advanced content generation.
• GPT-5.6 Terra: Optimized for broad application, offering a balance of capability and efficiency across a wide range of tasks.
• GPT-5.6 Luna: Engineered for speed and cost-effectiveness, suitable for high-volume, less complex tasks where rapid response is paramount.

This tiered approach offers organizations the agility to match model capabilities, cost profiles, and performance requirements to specific business scenarios. This strategic release ensures that the latest AI innovations are accessible where businesses have already established their applications and infrastructure.

GPT-5.6 is being rolled out across 28 global regions, with options for Global Standard and Global Priority Processing. Furthermore, it is available through Data Zones Standard and Global Provisioned deployments from day one. This comprehensive availability strategy allows customers to embrace cutting-edge AI capabilities without the need for extensive infrastructure overhauls or delayed access.

Understanding GPT-5.6 Pricing

The pricing structure for the GPT-5.6 series reflects its tiered capabilities, offering flexibility for different use cases:

This transparent pricing model allows organizations to budget effectively and optimize their AI spend based on the specific demands of each agent.

Global Reach and Data Sovereignty: The Asia-Pacific Data Zone

Expanding the availability of advanced AI models is only one facet of platform growth; the other lies in providing more compliant and localized deployment options. The newly announced Asia-Pacific Data Zone for Microsoft Foundry directly addresses this need. This general availability enables customers in the APAC region to leverage frontier OpenAI models while ensuring that data processing remains within their geographical boundaries. This eliminates the complexities of managing separate environments and ensures that regional compliance requirements are met without compromising access to advanced AI capabilities.

Foundry now offers Global, Data Zone, and Regional deployment options, empowering organizations to align their AI adoption strategies with their specific sovereignty, compliance, performance, and scale requirements. This flexibility maintains a consistent development and operational experience across all deployment environments.

Hongsoo Kim, Chief Data and AI Officer (CDAO) at Viva Republica (Toss), commented on the significance of the APAC Data Zone: "As financial institutions adopt AI, responsible data handling becomes foundational to trust. Microsoft Foundry’s APAC Data Zone allows us to keep data processing regionally anchored while accessing advanced AI models at scale. This gives us the confidence to accelerate AI innovation responsibly and reinforces our ambition to be a leading AI-powered financial platform in Asia."

From Capable Models to Actionable Agents

A powerful model is merely the foundation. To achieve production-level impact, an AI agent requires a robust runtime environment, an understanding of business context, governed access to tools, persistent memory across interactions, the ability to act on real-world events, and a clear pathway to end-users. Foundry natively integrates each of these critical components, designed to function cohesively.

Key capabilities enabling action-oriented, context-aware agents within Foundry include:

• Hosted Agents: A managed runtime environment that simplifies deployment and scaling, ensuring agents are always available and performant.
• Agent Orchestration: The ability to manage complex workflows, chaining multiple skills and tools to achieve sophisticated outcomes.
• Tool Integration: Seamless connection to a wide array of internal and external tools and services, enabling agents to perform actions.
• Memory: Persistent storage for conversational history and contextual information, allowing agents to maintain state and personalize interactions.
• Event Handling: The capacity to react to real-world events, enabling proactive and dynamic agent behavior.
• Distribution: Integrated pathways to deliver agents to users through familiar Microsoft 365 applications and other channels.

Governance, Optimization, and Observability for the AI Lifecycle

An AI agent that cannot be monitored, improved, or secured is inherently unsuitable for production deployment. Foundry prioritizes trust as a core platform tenet, rather than placing the burden solely on developers. The latest release enhances the post-build lifecycle by providing comprehensive observability, continuous improvement mechanisms, and verifiable performance metrics.

This release introduces several key features for governing and optimizing the AI lifecycle:

• Observability: Detailed logs and performance metrics provide deep insights into agent behavior, enabling proactive troubleshooting and performance tuning.
• Agent Optimizer: An AI-powered tool that fine-tunes prompts, skills, tools, and model choices based on organizational evaluators, continuously enhancing agent performance and efficiency.
• Cost Management: Tools to monitor and control AI spend, ensuring predictable costs even as agent usage scales. This includes features like:
  • Model Router: Intelligently routes requests to the most appropriate model based on cost, performance, and capability.
  • Prompt Caching: Reduces redundant computations by storing and reusing frequently used prompts.
  • PTU Spillover and Quota Optimization: Ensures service continuity during peak usage by dynamically managing resources and optimizing quota allocation.
  • Toolboxes: Efficiently delivers only the necessary tools for each specific request, reducing overhead.
• Return on Investment (ROI) Tracking: A unified view connecting business value, usage data, and costs, allowing teams to assess the economic viability of production agents and identify areas for optimization.

This comprehensive suite of governance and optimization tools ensures that AI agents not only perform effectively but also deliver tangible business value in a cost-controlled and accountable manner.

Real-World Impact: Teams Building on Foundry

The organizations leveraging Microsoft Foundry are not merely experimenting; they are actively deploying AI agents to drive tangible business outcomes. This spans a spectrum from agile digital natives to established global enterprises. The consistent pattern observed is a dramatic acceleration in deployment timelines. Teams that previously spent weeks integrating, securing, and deploying agents can now achieve the same in a matter of days. This rapid deployment is facilitated by infrastructure that meets stringent compliance standards and allows agents to reach users through the familiar applications they already use.

Notable examples of organizations building on Foundry include:

• Adobe: Leveraging Foundry to enhance creative workflows and customer engagement.
• Telefónica: Utilizing Foundry to streamline operations and improve customer service.
• Tata Consultancy Services: Integrating Foundry into their service offerings to accelerate AI adoption for their clients.

These collaborations underscore Foundry’s ability to support diverse industry needs and scale AI initiatives effectively.

Getting Started with Microsoft Foundry

All features announced today are live and accessible within Microsoft Foundry. Developers can begin their journey by following the comprehensive documentation and Microsoft Learn courses available. A practical starting point is the Quickstart guide, which provides a step-by-step walkthrough for setting up, testing, and deploying a production-ready hosted agent from end to end.

For a structured learning path, the "AI Agents for Beginners" curriculum offers a 12-lesson series. Deeper dives into specific areas are available through guided labs such as "Develop AI Agents in Azure," "Hosted Agents Workshop (.NET)," the "Foundry Toolkit for VS Code and hosted agents workshop," and the "ZavaShop Supply Chain Workshop." To ensure agents meet high-quality standards, the practical guide "Evaluating AI Agents: A Practical Guide with Microsoft Foundry" offers valuable insights.

A detailed walkthrough of operationalizing AI agents from deployment to real-world impact is also available in a Microsoft Mechanics episode, "Foundry Agent Service + Microsoft Agent Framework Explained," featuring Jeff Hollan. This resource provides a clear overview of how to bring AI agents to life and maximize their potential.