Microsoft Foundry Unveils GPT-5.6, Asia-Pacific Data Zone, and Hosted Agents, Ushering in a New Era of Production-Ready AI

Microsoft today announced a significant expansion of its Azure AI Foundry platform, marking a pivotal moment in the journey from experimental AI to widely adopted, production-ready intelligent systems. The centerpiece of these updates is the general availability of GPT-5.6 models, a new Asia-Pacific Data Zone, and enhanced capabilities for hosted agents within Foundry Agent Service. This suite of advancements aims to empower over 100,000 organizations already building on Foundry, including industry leaders like Adobe, Telefónica, and Tata Consultancy Services, to deploy and scale AI agents with unprecedented reliability, observability, and business alignment.

The announcements, rolled out today, fulfill a promise made at Microsoft Build, where the company articulated a vision for the agentic era: enabling developers to build agents where they work, run them on trusted infrastructure, and seamlessly integrate them with end-users without the complexities of disparate platforms. With these latest general availability releases, Microsoft Foundry solidifies its position as an end-to-end platform designed to streamline the entire AI agent lifecycle, from development and deployment to governance and optimization.

A Comprehensive Platform for AI Agent Development and Deployment

Microsoft Foundry, positioned as Microsoft’s end-to-end platform for building, running, governing, and distributing AI agents, brings together critical capabilities across three core pillars:

• AI Models: Providing access to a diverse range of frontier, open-source, and task-specific models.
• Agent Runtime: Offering a robust infrastructure for deploying and scaling agents, including managed environments and enterprise-grade security.
• Agent Distribution: Enabling seamless integration of agents into existing workflows and applications, particularly across Microsoft 365.

These pillars are now further strengthened by the latest Foundry updates, designed to help organizations transition from AI experimentation to large-scale production deployment on a unified platform.

Empowering Developers with Advanced Models and Flexible Deployment

The development of AI agents is increasingly integrated into familiar developer workflows. Microsoft Foundry supports this by enabling agent creation within environments like GitHub Copilot and Microsoft Visual Studio (VS) Code. The Foundry Toolkit for VS Code and the Foundry skill facilitate seamless deployment to Foundry. Whether teams leverage the Microsoft Agent Framework, the GitHub Copilot SDK (now generally available), or the Claude Agent SDK, Foundry serves as the definitive production destination.

A critical element of agent capability lies in the underlying model. Microsoft Foundry provides access to a spectrum of industry-leading models, including frontier, open-source, and specialized options, allowing organizations to select the optimal model for each specific workload.

GPT-5.6 Series Now Generally Available: A significant highlight of today’s announcement is the general availability of OpenAI’s GPT-5.6 series within Microsoft Foundry Models and Microsoft Foundry Agent Service. This release introduces three distinct models:

• GPT-5.6 Sol: Positioned as the most powerful option, designed for complex reasoning and demanding tasks.
• GPT-5.6 Terra: Offering a balance of performance and cost-effectiveness for a wide range of applications.
• GPT-5.6 Luna: Optimized for efficiency and speed, suitable for high-throughput scenarios where cost is a primary consideration.

This tiered approach grants organizations the flexibility to align model capabilities, cost considerations, and performance requirements with specific business needs, moving away from a one-size-fits-all model strategy. The GPT-5.6 series is accessible across 28 global regions, including Standard and Priority Processing options, as well as Data Zones Standard and Global Provisioned deployments. This ensures that customers can leverage cutting-edge AI innovations in their existing deployed environments.

GPT 5.6 Pricing Structure (USD per million tokens):

Asia-Pacific Data Zone for Enhanced Regional Control: Complementing the expanded model availability, Microsoft is also launching the Asia-Pacific (APAC) Data Zone for Microsoft Foundry. This development is crucial for organizations in the region seeking to utilize advanced AI models while maintaining data processing within APAC geographical boundaries, addressing sovereignty, compliance, and latency concerns. The APAC Data Zone eliminates the need for separate environments and ensures that regional customers can access the latest OpenAI models without compromising data residency requirements. Foundry’s commitment to offering Global, Data Zone, and Regional deployment options underscores its flexibility in aligning AI adoption with diverse organizational mandates.

Hongsoo Kim, Chief Data and AI Officer 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."

Building Action-Oriented and Context-Aware Agents

Beyond sophisticated models, putting AI to work in production requires a robust runtime environment. Foundry provides built-in capabilities for agent execution, integration with business knowledge, governed access to tools, persistent memory across interactions, and the ability to act on real-world events. These integrated features are designed to work cohesively, enabling organizations to build agents that are not only intelligent but also actionable and contextually aware.

Key components of the Foundry agent runtime include:

• Hosted Agents: Offering a managed and scalable environment for running agents, simplifying deployment and operations.
• Agent Orchestration: Managing the flow of information and execution of tasks for complex agent workflows.
• Tool Integration: Securely connecting agents to enterprise systems and services.
• Long-Term Memory: Enabling agents to retain context and learn from past interactions.
• Event-Driven Actions: Allowing agents to respond dynamically to real-time events.

Governing and Optimizing the AI Lifecycle with Robust Controls

Trust is a paramount concern in the deployment of AI. Microsoft Foundry prioritizes trust by embedding observability and control mechanisms throughout the AI lifecycle. This release enhances capabilities for monitoring agent performance, facilitating improvements, and demonstrating the value of AI investments.

Enhanced Observability and Control:

• Agent Observability: Providing detailed logs and metrics to understand agent behavior and identify areas for optimization.
• Performance Monitoring: Tracking key performance indicators to ensure agents are meeting business objectives.
• Cost Management: Offering tools to monitor and control AI spending, ensuring predictable costs as agents scale.
• Security and Compliance: Implementing enterprise-grade security and compliance controls to protect sensitive data and ensure regulatory adherence.

Foundry offers several features designed to optimize cost and performance:

• Model Router: Intelligently directs 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 usage spikes and optimizes resource allocation.
• Toolboxes in Foundry: Efficiently manage tool access by providing only necessary tools for each request.
• Agent Optimizer: Tunes prompts, skills, tools, and model choices against custom evaluators to enhance agent performance.

Furthermore, the ROI for Agents in Foundry feature provides a unified view of business value, usage, and cost, enabling teams to assess the return on investment for their deployed agents and identify areas where cost may be outpacing value.

Real-World Impact: Organizations Building on Foundry

The adoption of Microsoft Foundry extends beyond experimentation, with numerous organizations actively deploying agents to drive tangible business outcomes. From digital natives to large enterprises, companies are leveraging Foundry to accelerate their AI initiatives.

Adobe, for instance, is utilizing Foundry to enhance its creative workflows. Telefónica is deploying agents to improve customer service and network management. Tata Consultancy Services is integrating Foundry into its consulting services to deliver AI-powered solutions to its global clientele.

The common thread among these successes is a significant reduction in the time and effort required for agent integration, security, and deployment. Organizations are now able to bring production-ready agents to market in days rather than weeks, leveraging secure and compliant infrastructure that integrates seamlessly with tools their users already trust.

Getting Started with Microsoft Foundry

All the capabilities announced today are live and accessible within Microsoft Foundry. Developers can begin their journey by following the comprehensive documentation and Microsoft Learn courses. The Quickstart guide offers a streamlined path to setting up, testing, and deploying a production-ready hosted agent end-to-end.

For those seeking a structured learning experience, the "AI Agents for Beginners" curriculum provides a 12-lesson program. Deeper dives 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 the quality of deployed agents, resources like "Evaluating AI Agents: A Practical Guide with Microsoft Foundry" offer valuable insights.

A recent Microsoft Mechanics episode, "Foundry Agent Service + Microsoft Agent Framework Explained," featuring Jeff Hollan, provides a detailed walkthrough of operationalizing AI agents from deployment to real-world impact, further demystifying the process of bringing AI to life within an organization.