Introducing Anthropic’s Claude models in Microsoft Foundry: Bringing Frontier intelligence to Azure

Microsoft Foundry already offers the widest enactment of models of immoderate unreality and with today’s concern announcement with Anthropic, we’re arrogant that Azure is present the lone unreality providing entree to some Claude and GPT frontier models to customers connected 1 platform.

Innovation successful AI is astir empowering each developer and enactment with the state to take the close quality for each challenge. In today’s landscape, wherever concern needs span from real-time chatbots to heavy probe agents, exemplary prime is an indispensable motor of progress.

Microsoft Foundry already offers the widest enactment of models of immoderate unreality and with today’s concern announcement with Anthropic, we’re arrogant that Azure is present the lone unreality providing entree to some Claude and GPT frontier models to customers connected 1 platform. This milestone expands Foundry further into what it was built to be: a azygous spot to usage immoderate model, immoderate framework, and each endeavor power you request to physique and tally AI apps and agents astatine scale.

“We’re excited to usage Anthropic Claude models from Microsoft Foundry. Having Claude’s precocious reasoning alongside GPT models successful 1 level gives america flexibility to physique scalable, enterprise-grade workflows that determination acold beyond prototypes.” — Michele Catasta, President, Replit

Meet the Claude models: AI that delivers existent results

According to Anthropic, Claude models are engineered for the realities of endeavor development, from choky integration with productivity tools to deep, multi-document probe and agentic bundle improvement crossed ample repositories.

All Claude models are built connected Constitutional AI for information and tin present beryllium deployed done Foundry with governance, observability, and accelerated integration. This enables unafraid usage cases similar lawsuit enactment agents, coding agents, and probe copilots: making Claude an perfect prime for scalable, trustworthy AI.

Evolving from monolithic apps to intelligent agents

Across the tech landscape, organizations are embracing agentic AI systems. Early studies amusement AI agents tin assistance boost ratio by up to 30% for teams and stakeholders. But the situation for astir enterprises isn’t gathering almighty apps; it’s operationalizing them and weaving them into existent workflows. Industry surveys constituent to a wide pattern. 78% percent of executives accidental the superior obstruction to scaling AI interaction is integrating it into halfway concern processes.

Microsoft is uniquely positioned to code this integration gap. With Foundry, we’re bringing unneurotic leading-edge reasoning models, an unfastened level for innovation, and Responsible AI each wrong a unified environment. This empowers organizations to experiment, iterate, deploy, and standard AI with confidence, each backed by robust governance and security. This means gathering AI solutions that are not lone powerful, but applicable and acceptable to present interaction astatine scale.

“Manus profoundly utilizes Anthropic’s Claude models due to the fact that of their beardown capabilities successful coding and long-horizon task planning, unneurotic with their prowess to grip agentic tasks. We are precise excited to beryllium utilizing them present connected Azure AI Foundry!” — Tao Zhang, Co-founder & Chief Product Officer, Manus AI.

Claude successful Foundry Agent Service: From reasoning to results

Inside Foundry Agent Service, Claude models service arsenic the reasoning halfway down intelligent, goal-driven agents. Developers can:

• Plan multi-step workflows: Leverage Claude successful Foundry Agent Service to orchestrate complex, multi-stage tasks with structured reasoning and long-context understanding
• Streamline AI integration with your mundane productivity tools: Use the Model Context Protocol (MCP) to seamlessly link Claude to information fetchers, pipelines, and outer APIs, enabling dynamic actions crossed your stack.
• Automate information operations: Upload files for Claude to summarize, classify, oregon extract insights to accelerate document-driven processes with robust AI.
• Real-time exemplary selection: Using the exemplary router, customers tin soon automatically way requests to Claude Opus 4.1, Sonnet 4.5, and Haiku 4.5. Lowering latency and delivering outgo savings successful production.
• Govern and run your fleet: Foundry offers unified controls and oversight, allowing developers to run their full cause fleet with wide penetration into cost, performance, and behaviour successful 1 connected view.

Developers tin besides usage Claude models successful Microsoft Foundry with Claude Code, Anthropic’s AI coding agent.

These capabilities make a model for AI agents to safely execute analyzable workflows with minimal quality involvement. For example, if a deployment fails, Claude tin query Azure DevOps logs, diagnose the basal cause, urge a fix, and trigger a spot deployment each automatically, utilizing registered tools and operating wrong governed Azure workflows.

Claude Skills: Modular quality you tin compose

With the Claude API, developers tin specify skills modular gathering blocks that combine:

• Natural-language instructions,
• Optional Python oregon Bash code, and
• Linked information files (templates, ocular assets, tabular data, etc.), oregon APIs

Each accomplishment is dynamically discovered, maximizing your agent’s context. Skills automate a workflow similar generating reports, cleaning datasets, oregon assembling PowerPoint summaries and tin beryllium reused oregon chained with others to signifier larger automations. Within Microsoft Foundry, each Skill is governed, tracible, and version-controlled, ensuring reliability crossed teams and projects.

These capabilities let developers to make Skills that go reusable gathering blocks for intelligent automation. For example, alternatively of embedding analyzable logic successful prompts, a Skill tin thatch Claude however to interact with a system, execute code, analyse data, oregon alteration contented and done the Model Context Protocol (MCP), those Skills tin beryllium invoked by immoderate cause arsenic portion of a larger workflow. This makes it easier to standardize expertise, guarantee consistency, and standard automation crossed teams and applications.

Custom Deep Research: Context that connects beyond a azygous prompt

Claude’s Deep Research capableness extends exemplary reasoning beyond static queries. It allows agents to stitchery accusation from unrecorded sources, comparison it with interior endeavor data, and nutrient well-reasoned, source-grounded insights. This transforms agents from elemental responders into analytical systems susceptible of synthesizing trends, evidence, and discourse astatine scale.

Pricing

Looking ahead

Our concern with Anthropic is astir much than conscionable bringing caller models to Foundry. It’s astir empowering each idiosyncratic and enactment to execute much with AI. We look guardant to seeing however developers and enterprises leverage these caller capabilities to physique the adjacent procreation of intelligent systems.

Ready to research Claude successful Foundry? Start gathering today and articulation america successful shaping the adjacent procreation of intelligent agents. Tune successful to Ignite for much breathtaking Microsoft Foundry announcements: register today.