# Microsoft Foundry Docs

## Docs

- [Microsoft Agent 365 and Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-365.md): Learn how Microsoft Agent 365 provides governance, security, and lifecycle management for AI agents built in Microsoft Foundry.
- [Microsoft Agent 365 integration with Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-365-integration.md): Learn how Microsoft Foundry integrates with Microsoft Agent 365 to provide enterprise-grade agent governance, observability, security, and lifecycle management.
- [Agent applications in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-applications.md): Learn about agent applications in Microsoft Foundry, configure authentication and permissions, and use a stable endpoint to invoke your agent.
- [Agent identity concepts in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-identity.md): Learn how agent identities and agent identity blueprints work in Microsoft Foundry, including RBAC, authentication for tools, and governance.
- [Connect to an A2A agent endpoint from Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-to-agent.md): Connect your Foundry agent to a remote Agent2Agent (A2A) endpoint. Configure connections, authentication, and use SDK integration to call external A2A agents.
- [Agent2Agent (A2A) authentication](https://hobbyist-e43fa225.mintlify.app/agent-service/agent-to-agent-authentication.md): Learn about ways of adding authentication to the Agent2Agent tool in the Foundry Agent Service.
- [Connect an Azure AI Search index to Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/ai-search.md): Connect Azure AI Search indexes to Foundry agents for grounding responses with citations. Includes Python, C#, TypeScript, and REST samples.
- [Connect Azure Speech in Foundry Tools to an agent](https://hobbyist-e43fa225.mintlify.app/agent-service/azure-ai-speech.md): Connect Azure Speech in Foundry Tools to an agent by using an MCP server for speech-to-text and text-to-speech in Foundry Agent Service.
- [Run agent evaluations with the azd CLI (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/azure-developer-cli-evaluation.md): Learn how to initialize evaluation assets, run an evaluation, and inspect results for a Microsoft Foundry agent by using the Azure Developer (azd) CLI.
- [Integrate Azure Functions with Foundry Agents](https://hobbyist-e43fa225.mintlify.app/agent-service/azure-functions.md): Build custom agent tools with Azure Functions using queue-based integration. Step-by-step guide with code examples for Foundry agents.
- [Use Grounding with Bing Search tools with the agents API](https://hobbyist-e43fa225.mintlify.app/agent-service/bing-tools.md): Learn how to use Grounding with Bing Search and Grounding with Bing Custom Search (preview) tools to ground agent responses with web data.
- [Automate browser tasks with Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/browser-automation.md): Automate web browsing tasks with the Browser Automation tool in Microsoft Foundry agents. Create isolated Playwright sessions for navigation and form filling.
- [Build a voice agent with hosted agents (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/build-voice-agent.md): Build and deploy a real-time voice agent on Foundry Agent Service using the invocations_ws WebSocket protocol.
- [Build and register a Model Context Protocol (MCP) server](https://hobbyist-e43fa225.mintlify.app/agent-service/build-your-own-mcp-server.md): Learn how to build a custom MCP server using Azure Functions, register it in your organizational tool catalog, and connect it to Foundry Agent Service.
- [Capability hosts for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/capability-hosts.md): Learn how capability hosts route agent data to Microsoft-managed or your own Azure resources, and how to configure and troubleshoot them.
- [Use Code Interpreter with Microsoft Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/code-interpreter.md): Create agents that run Python code in a sandboxed environment using Code Interpreter in Microsoft Foundry. Upload files, analyze data, and download generated charts.
- [Use the computer use tool for agents](https://hobbyist-e43fa225.mintlify.app/agent-service/computer-use.md): Create agents that interpret screenshots and automate UI actions like clicking and typing. Includes Python, C#, TypeScript, Java SDK, and REST API samples for Foundry Agent Service.
- [Configure and share your Microsoft Foundry agent](https://hobbyist-e43fa225.mintlify.app/agent-service/configure-agent.md): Learn how to configure your agent's stable endpoint, select the active version, and share your agent with consumers in Microsoft Foundry.
- [Add managed MCP servers powered by connector namespaces (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/connectors.md): Add managed MCP servers powered by connector namespaces to your Foundry agents. Browse, configure, and connect to over 1,000 SaaS and line-of-business services from the Foundry Tools Catalog.
- [Configure a custom code interpreter for agents](https://hobbyist-e43fa225.mintlify.app/agent-service/custom-code-interpreter.md): Configure a custom MCP-based code interpreter for Microsoft Foundry agents using Azure Container Apps Dynamic Sessions. Customize Python packages and compute resources.
- [Deploy a hosted agent](https://hobbyist-e43fa225.mintlify.app/agent-service/deploy-hosted-agent.md): Deploy your containerized agent code to Foundry Agent Service using the Python SDK or REST API.
- [Deploy a hosted agent from source code (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/deploy-hosted-agent-code.md): Deploy your hosted agent directly from source code—without building a container—by calling the Foundry Agent Service REST API.
- [Agent development lifecycle](https://hobbyist-e43fa225.mintlify.app/agent-service/development-lifecycle.md): Learn the agent development lifecycle in Microsoft Foundry, from creating and versioning to tracing, evaluation, publishing, and monitoring.
- [Disable creation of classic agents and assistants](https://hobbyist-e43fa225.mintlify.app/agent-service/disable-classic-agents.md): Learn how to disable and re-enable creating classic agents and assistants on an Azure OpenAI account by setting a resource tag.
- [Enable incoming A2A on a Foundry agent](https://hobbyist-e43fa225.mintlify.app/agent-service/enable-agent-to-agent-endpoint.md): Expose your Foundry Agent Service agent as an A2A endpoint so other agents can discover and call it using the Agent2Agent protocol.
- [Evaluate your AI agents](https://hobbyist-e43fa225.mintlify.app/agent-service/evaluate-agent.md): Learn how to evaluate AI agents using built-in evaluators for quality, safety, and agent-specific behaviors.
- [Use the Microsoft Fabric data agent with Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/fabric.md): Learn how to connect a Microsoft Fabric data agent to Foundry Agent Service so your agent can analyze enterprise data by using identity passthrough.
- [Connect agents to Microsoft Fabric with Fabric IQ (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/fabric-iq.md): Learn how to connect your Microsoft Foundry agent to Fabric IQ, a Microsoft Fabric workload that unifies business data through an enterprise ontology and AI agents so your agents can reason over your data in shared semantic context.
- [Foundry Agent Service frequently asked questions](https://hobbyist-e43fa225.mintlify.app/agent-service/faq.md): Find answers to common questions about Foundry Agent Service. If you can't find answers to your questions in this article and you still need help, see [Foundry Tools support and help options](../../ai-services/cognitive-services-support-options.md). Foundry Agent Service is part of Foundry Tools. Fo…
- [File search tool for Microsoft Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/file-search.md): Configure the file search tool for Microsoft Foundry agents. Upload files, create vector stores, and query documents with Python, C#, and REST examples.
- [Connect Agents to Foundry IQ Knowledge Bases](https://hobbyist-e43fa225.mintlify.app/agent-service/foundry-iq-connect.md): Connect Foundry Agent Service to a Foundry IQ knowledge base (Azure AI Search) for grounded retrieval and citation-backed responses.
- [Foundry IQ frequently asked questions](https://hobbyist-e43fa225.mintlify.app/agent-service/foundry-iq-faq.md): Find answers to common questions about [Foundry IQ](what-is-foundry-iq.md).
- [Azure Language in Foundry Tools - tools and agents](https://hobbyist-e43fa225.mintlify.app/agent-service/foundry-tools-agents.md): Learn how Azure Language in Foundry Tools integrates with Microsoft Foundry, including Model Context Protocol (MCP) server endpoints, intent routing agents, and exact question answering agents.
- [Use function calling with Microsoft Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/function-calling.md): Use function calling to extend Microsoft Foundry agents with custom functions. Define tools with Python, C#, TypeScript, or REST and return outputs to the agent.
- [Govern MCP Tools by Using an AI Gateway](https://hobbyist-e43fa225.mintlify.app/agent-service/governance.md): Learn how to govern MCP tools by using an AI gateway in Microsoft Foundry. Apply rate limits, IP filters, and routing policies by using Azure API Management.
- [Hosted agent permissions reference](https://hobbyist-e43fa225.mintlify.app/agent-service/hosted-agent-permissions.md): Reference for permissions required to create, deploy, and interact with hosted agents in Microsoft Foundry.
- [Hosted agents in Foundry Agent Service (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/hosted-agents.md): Deploy and manage containerized agents on Foundry Agent Service (preview) with managed hosting, scaling, and observability.
- [Monitor agents with the Agent Monitoring Dashboard](https://hobbyist-e43fa225.mintlify.app/agent-service/how-to-monitor-agents-dashboard.md): Learn how to monitor operational metrics, token usage, latency, and evaluation results for AI agents in Microsoft Foundry by using the Agent Monitoring Dashboard and Application Insights.
- [How to build a voice agent](https://hobbyist-e43fa225.mintlify.app/agent-service/how-to-voice-agent-integration.md): Learn how to use Voice Live with Foundry Agent Service to build real-time voice agents.
- [Use the image generation tool (preview) in Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/image-generation.md): Generate images from text prompts with the image generation tool in Microsoft Foundry Agent Service. Configure agents, deploy models, and save output.
- [Quotas and limits for Microsoft Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/limits-quotas-regions.md): Review default limits for Foundry Agent Service, including file sizes, vector stores, messages, tools, error handling, supported regions, and compatible models.
- [Manage hosted agents](https://hobbyist-e43fa225.mintlify.app/agent-service/manage-hosted-agent.md): View, monitor, and manage hosted agents in Foundry Agent Service by using the REST API, Python SDK, or Azure Developer CLI.
- [Manage hosted agent sessions](https://hobbyist-e43fa225.mintlify.app/agent-service/manage-hosted-sessions.md): Create, invoke, and manage sessions for hosted agents in Foundry Agent Service by using the REST API, Python SDK, or Azure Developer CLI.
- [Set Up MCP Server Authentication](https://hobbyist-e43fa225.mintlify.app/agent-service/mcp-authentication.md): Learn how to set up authentication for Model Context Protocol (MCP) servers used by agents in Microsoft Foundry Agent Service. Configure key-based, Entra, or OAuth auth.
- [Create and Use Memory](https://hobbyist-e43fa225.mintlify.app/agent-service/memory-usage.md): Learn how to create and manage memory in Foundry Agent Service to enable AI agents to retain context across sessions and personalize user interactions
- [Migrate to the new Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/migrate.md): Learn how to migrate from the Assistants API and classic agents to the new Foundry Agent Service, including threads to conversations, runs to responses, and updated SDK patterns.
- [Migrate from Agent Applications to the new Microsoft Foundry agent model](https://hobbyist-e43fa225.mintlify.app/agent-service/migrate-agent-applications.md): Migrate from the legacy Agent Application publishing model to the new agent object model in Microsoft Foundry.
- [Migrate hosted agents to the refreshed public preview](https://hobbyist-e43fa225.mintlify.app/agent-service/migrate-hosted-agent-preview.md): Migrate your hosted agents from the initial public preview to the refreshed public preview, including API, SDK, CLI, protocol library, and identity model changes.
- [Connect to MCP Server Endpoints for agents](https://hobbyist-e43fa225.mintlify.app/agent-service/model-context-protocol.md): Connect your Foundry agents to Model Context Protocol (MCP) servers using the MCP tool. Extend capabilities with external tools and data.
- [Connect OpenAPI tools to Microsoft Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/openapi.md): Connect OpenAPI 3.0 and 3.1 tools to Microsoft Foundry agents using API key, managed identity, or anonymous authentication to integrate external APIs.
- [What is Azure Translator document translation?](https://hobbyist-e43fa225.mintlify.app/agent-service/overview.md): Learn about Azure Translator document translation for batch and single-file translation while preserving document structure and formatting.
- [Create a private tool catalog in Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/private-tool-catalog.md): Create a private tool catalog in Foundry Agent Service using Azure API Center. Let developers discover and configure organization-scoped MCP server tools.
- [Quickstart: Create a prompt agent](https://hobbyist-e43fa225.mintlify.app/agent-service/prompt-agent.md): Create a prompt agent in Foundry Agent Service using the Microsoft Foundry SDK.
- [Optimize agent prompts with Prompt Optimizer (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/prompt-optimizer.md): Learn how to use Prompt Optimizer in Microsoft Foundry to automatically improve your agent's system instructions using AI-driven prompt engineering best practices.
- [Publish agents to Microsoft 365 Copilot and Microsoft Teams](https://hobbyist-e43fa225.mintlify.app/agent-service/publish-copilot.md): Publish a Microsoft Foundry agent to Microsoft 365 Copilot and Microsoft Teams from the Foundry portal.
- [Quickstart: Detect the language of text](https://hobbyist-e43fa225.mintlify.app/agent-service/quickstart.md): Use Azure Language in Foundry Tools to detect the language of text with client libraries, the REST API, or the Microsoft Foundry portal.
- [Quickstart: Deploy your first hosted agent](https://hobbyist-e43fa225.mintlify.app/agent-service/quickstart-hosted-agent.md): Learn how to deploy a containerized AI agent to Foundry Agent Service using the Azure Developer CLI or Microsoft Foundry Toolkit for Visual Studio Code extension.
- [Quickstart: Multi-turn conversational language understanding (CLU) models with entity slot filling](https://hobbyist-e43fa225.mintlify.app/agent-service/quickstart-multi-turn-conversations.md): Create a multi-turn conversational language understanding (CLU) model with entity slot filling in Microsoft Foundry (classic).
- [Quickstart: Build agents using the Responses API](https://hobbyist-e43fa225.mintlify.app/agent-service/responses-api.md): Call the Responses API on a Foundry project endpoint from your own code using the Agent Framework FoundryChatClient or the OpenAI SDK.
- [Retrieval augmented generation (RAG) and indexes in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/retrieval-augmented-generation.md): Learn how retrieval augmented generation (RAG) uses indexes and grounding data to improve response accuracy in generative AI apps.
- [Routines in Foundry Agent Service (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/routines.md): Learn how routines in Foundry Agent Service invoke agents from project-native timers and recurring schedules with governed connections and run history.
- [Build with agents, conversations, and responses in Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/runtime-components.md): Learn how to create agents, manage conversations, and generate responses in Microsoft Foundry Agent Service with code examples in Python, C#, JavaScript, Java, and REST API.
- [Use SharePoint content with agent API](https://hobbyist-e43fa225.mintlify.app/agent-service/sharepoint.md): Learn how to ground Microsoft Foundry agents with SharePoint content using the agent API. Connect to SharePoint sites or folders, use identity passthrough, and keep enterprise access controls intact.
- [Use skills with Microsoft Foundry agents (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/skills.md): Manage versioned skills in Microsoft Foundry using the Skills REST API. Author SKILL.md files, store them centrally with version control, and attach them to toolboxes or hosted agents.
- [Customize Agent Behavior at Runtime with Structured Inputs](https://hobbyist-e43fa225.mintlify.app/agent-service/structured-inputs.md): Learn how to customize agent behavior at runtime using structured inputs. Define placeholders with handlebar templates, dynamically configure agent instructions and tools, and pass values at runtime to your agent.
- [Tool best practices for Microsoft Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/tool-best-practice.md): Learn tool best practices for Foundry Agent Service: configure tool_choice, secure tool usage, and troubleshoot tool-calling issues.
- [Agent tools overview for Microsoft Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/tool-catalog.md): Explore the tools available for agents in Foundry Agent Service, including built-in tools, web search, custom options, and the Foundry tool catalog. Get started today.
- [Enable tool search in a toolbox (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/tool-search.md): Use tool search in Microsoft Foundry to help agents dynamically discover relevant tools from a large toolbox, reducing context overhead and improving tool selection accuracy.
- [Curate intent-based toolbox in Foundry (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/toolbox.md): Use toolbox in Microsoft Foundry to add MCP servers, web search, Azure AI Search, file search, code interpreter tool and more to hosted agents through a single managed endpoint.
- [Add client-side tracing to Foundry agents](https://hobbyist-e43fa225.mintlify.app/agent-service/trace-agent-client-side.md): Instrument AI agents with OpenTelemetry client-side tracing using the Microsoft Foundry SDK. Export traces to Azure Monitor, the console, or any OTLP-compatible backend.
- [Agent tracing in Microsoft Foundry (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/trace-agent-concept.md): Learn how agent tracing in Microsoft Foundry captures inputs, outputs, and tool usage with OpenTelemetry. Debug agent runs, identify latency issues, and improve reliability.
- [Configure tracing for AI agent frameworks](https://hobbyist-e43fa225.mintlify.app/agent-service/trace-agent-framework.md): Debug issues and monitor AI agent performance in production by configuring OpenTelemetry tracing for LangChain, LangGraph, Semantic Kernel, and OpenAI Agents SDK.
- [Review agent interactions with Trace Replay](https://hobbyist-e43fa225.mintlify.app/agent-service/trace-agent-replay.md): Learn how to use Trace Replay in Microsoft Foundry to navigate, filter, and analyze conversation traces from agent runs.
- [Set Up Tracing for AI Agents in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/trace-agent-setup.md): Learn how to set up tracing in Microsoft Foundry to debug AI agent runs and monitor behavior by sending telemetry to Azure Monitor Application Insights with OpenTelemetry.
- [Use routines](https://hobbyist-e43fa225.mintlify.app/agent-service/use-routines.md)
- [Vector stores for file search in Microsoft Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/vector-stores.md): Learn how vector stores enable file search for agents, including ingestion (chunking and embeddings), readiness, limits, and expiration policies.
- [Quickstart: Voice Agent with Foundry Agent Service (new)](https://hobbyist-e43fa225.mintlify.app/agent-service/voice-live-agents-quickstart.md): Learn how to create a real-time voice agent with Foundry Agent Service and Voice Live.
- [Overview of web grounding capabilities in Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/web-overview.md): Learn how to choose the right web grounding tool for your Microsoft Foundry agents. Compare Web Search, Grounding with Bing Search, and Bing Custom Search.
- [Use web search tool in Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/agent-service/web-search.md): Use the web search tool in Foundry Agent Service to retrieve real-time information and ground AI responses. Includes code examples.
- [What is Foundry IQ?](https://hobbyist-e43fa225.mintlify.app/agent-service/what-is-foundry-iq.md): Learn about Foundry IQ, a managed knowledge layer that turns enterprise data into reusable, permission-aware knowledge bases for AI agents.
- [What is Memory?](https://hobbyist-e43fa225.mintlify.app/agent-service/what-is-memory.md): Learn about memory in Foundry Agent Service, including how it works, long-term memory types, retention and item-level controls, and security considerations.
- [Connect agents to Microsoft 365 with Work IQ (preview)](https://hobbyist-e43fa225.mintlify.app/agent-service/work-iq.md): Learn how to connect your Microsoft Foundry agent to Work IQ, the intelligence layer that grounds agents in Microsoft 365 data such as emails, meetings, files, and chats.
- [Build a workflow in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/agent-service/workflow.md): Build workflows in Microsoft Foundry to orchestrate AI agents with visual logic, branching, and Power Fx formulas. Create intelligent automation without writing code.
- [Azure OpenAI in Microsoft Foundry Models v1 API](https://hobbyist-e43fa225.mintlify.app/api-sdk/api-version-lifecycle.md): Learn how to use the Azure OpenAI v1 API, which simplifies authentication, removes api-version parameters, and supports cross-provider model calls.
- [Azure OpenAI in Microsoft Foundry Models REST API authoring preview reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/authoring-reference-preview.md): Learn how to use Azure OpenAI's latest authoring preview REST API. In this article, you learn about authorization options,  how to structure a request and receive a response.
- [Endpoints for Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/api-sdk/endpoints.md): Learn how to access and use Microsoft Foundry Models endpoints for secure model inference, flexible deployments, and keyless authentication.
- [Azure OpenAI in Microsoft Foundry Models v1 REST API reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/latest.md): Learn how to use Azure OpenAI's v1 REST API.
- [Monitoring data reference for Azure OpenAI](https://hobbyist-e43fa225.mintlify.app/api-sdk/monitor-openai-reference.md): This article contains important reference material you need when you monitor Azure OpenAI in Microsoft Foundry Models by using Azure Monitor.
- [Realtime API reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/realtime-audio-reference.md): Reference for the Azure OpenAI Realtime API events, with notes on Azure-specific deviations from the OpenAI specification.
- [Azure OpenAI in Microsoft Foundry Models REST API reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/reference.md): Learn how to use Azure OpenAI's REST API. In this article, you learn about authorization options,  how to structure a request and receive a response.
- [Azure OpenAI in Microsoft Foundry Models REST API preview reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/reference-preview.md): Learn how to use Azure OpenAI's latest preview REST API. In this article, you learn about authorization options,  how to structure a request and receive a response.
- [Azure OpenAI in Microsoft Foundry Models REST API v1 preview reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/reference-preview-latest.md): Learn how to use Azure OpenAI's latest v1 preview REST API. In this article, you learn about authorization options,  how to structure a request and receive a response.
- [Foundry Tools REST API reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/rest-api-resources.md): Provides an overview of available Foundry Tools REST APIs with links to reference documentation.
- [SDK & API Reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/sdk-api-reference.md): Quick links to Microsoft Foundry SDK documentation, REST API references, and developer tools.
- [Get started with Microsoft Foundry SDKs and Endpoints](https://hobbyist-e43fa225.mintlify.app/api-sdk/sdk-overview.md): This article provides an overview of the Microsoft Foundry SDKs and endpoints and how to get started using them.
- [Foundry Tools SDK reference](https://hobbyist-e43fa225.mintlify.app/api-sdk/sdk-package-resources.md): Provides an overview of available Foundry Tools client libraries and packages with links to reference documentation.
- [System message design for Azure OpenAI](https://hobbyist-e43fa225.mintlify.app/best-practices/advanced-prompt-engineering.md): Learn how system messages shape Azure OpenAI chat responses, with best practices for control, safety, and consistency.
- [Tutorial: Get started with DeepSeek-R1 in Foundry Models](https://hobbyist-e43fa225.mintlify.app/best-practices/get-started-deepseek-r1.md): Learn how to deploy and use DeepSeek-R1 reasoning model in Microsoft Foundry Models. Get step-by-step guidance, code examples, and best practices for AI reasoning.
- [Integrate Microsoft Foundry with your applications](https://hobbyist-e43fa225.mintlify.app/best-practices/integrate-with-other-apps.md): Learn how to choose a Microsoft Foundry integration pattern, retrieve endpoints, and send your first REST API request with authentication.
- [Azure OpenAI in Microsoft Foundry Models performance & latency](https://hobbyist-e43fa225.mintlify.app/best-practices/latency.md): Learn about performance and latency with Azure OpenAI
- [Prompt engineering techniques | Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/best-practices/prompt-engineering.md): Learn how to use prompt engineering to optimize your work with Azure OpenAI.
- [Planning red teaming for large language models (LLMs) and their applications](https://hobbyist-e43fa225.mintlify.app/best-practices/red-teaming.md): Learn about how red teaming and adversarial testing are an essential practice in the responsible development of systems and features using large language models (LLMs)
- [Safety system messages](https://hobbyist-e43fa225.mintlify.app/best-practices/system-message.md): Learn how safety system messages (system prompts) guide Azure OpenAI model behavior, improve quality, and reduce risks in Microsoft Foundry.
- [How to get started with an AI template](https://hobbyist-e43fa225.mintlify.app/developer-experience/ai-template-get-started.md): Find, explore, and deploy AI solution templates from the Foundry portal to accelerate your development.
- [Explore available tools and example prompts for Foundry MCP Server (preview)](https://hobbyist-e43fa225.mintlify.app/developer-experience/available-tools.md): Reference guide for all Foundry MCP Server tools, including tool descriptions, key inputs, permissions, and example prompts for each tool.
- [Configure Claude Code for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/developer-experience/configure-claude-code.md): Set up Claude Code CLI and VS Code extension to use Claude models in Microsoft Foundry with enterprise security, authentication, and CI/CD integration.
- [Fireworks models on Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/developer-experience/enable-fireworks-models.md): Learn how to enable, deploy, and use Fireworks models in Microsoft Foundry, including catalog models, custom model import (BYOM), data privacy, and frequently asked questions.
- [Get started using Foundry MCP Server with Visual Studio Code](https://hobbyist-e43fa225.mintlify.app/developer-experience/get-started.md): Connect to Foundry MCP Server from Visual Studio Code, authenticate with Entra ID, and run your first prompts against Foundry services.
- [Work with the Microsoft Foundry Toolkit for Visual Studio Code extension](https://hobbyist-e43fa225.mintlify.app/developer-experience/get-started-projects-vs-code.md): Create projects, deploy models from the model catalog, and interact with model playgrounds using the Microsoft Foundry Toolkit for Visual Studio Code extension.
- [Import custom models into Microsoft Foundry with Fireworks](https://hobbyist-e43fa225.mintlify.app/developer-experience/import-custom-models.md): Learn how to import, register, and deploy custom model weights, LoRA adapters, and speculative decoding draft models in Microsoft Foundry using the Fireworks inference runtime.
- [Prepare your development environment](https://hobbyist-e43fa225.mintlify.app/developer-experience/install-cli-sdk.md): Set up your development environment with language runtimes, Azure CLI, and tools for Microsoft Foundry development.
- [Get started with LangChain and LangGraph with Foundry](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain.md): Learn how to use langchain-azure-ai as an entry point for LangChain and LangGraph apps with Microsoft Foundry capabilities.
- [Use LangGraph with the Agent Service](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-agents.md): Learn how to build practical LangGraph and LangChain applications with Foundry Agent Service.
- [Host LangGraph agents as Foundry hosted agents](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-hosted-agents.md): Learn how to use langchain_azure_ai.agents.hosting to host LangGraph agents on Foundry hosted agent service with Responses and Invocations protocols.
- [Use Foundry Memory with LangChain and LangGraph](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-memory.md): Learn how to use langchain-azure-ai with Foundry Memory to build AI apps that remember user preferences across sessions.
- [Use Foundry Content Safety middleware with LangChain](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-middleware.md): Learn how to use Foundry Content Safety middleware in LangChain agents with the langchain-azure-ai package.
- [Use LangChain with models in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-models.md): Learn how to use OpenAI-compatible LangChain classes with chat and embedding models deployed in Microsoft Foundry, including prompt chains, async calls, and vector search.
- [Trace LangChain and LangGraph apps with Microsoft Foundry and Azure Monitor](https://hobbyist-e43fa225.mintlify.app/developer-experience/langchain-traces.md): Learn how to trace LangChain and LangGraph applications in Foundry with the AzureAIOpenTelemetryTracer callback handler.
- [Explore Foundry MCP Server best practices and security guidance](https://hobbyist-e43fa225.mintlify.app/developer-experience/security-best-practices.md): Security guidance for Foundry MCP Server, including identity, RBAC, Conditional Access policies, network isolation, and data residency.
- [Use the Microsoft Foundry Skill in coding agents](https://hobbyist-e43fa225.mintlify.app/developer-experience/use-microsoft-foundry-skill.md): Install and use the Microsoft Foundry Skill with coding agents such as GitHub Copilot in Visual Studio Code, Copilot CLI, and Claude Code.
- [Add declarative agent workflows in Microsoft Foundry Toolkit for Visual Studio Code extension](https://hobbyist-e43fa225.mintlify.app/developer-experience/vs-code-agents-workflow-low-code.md): Add and test declarative agent workflows in Foundry Agent Service by using the Microsoft Foundry for Visual Studio Code extension. Convert YAML workflows to Agent Framework code.
- [Create hosted agent workflows in the Microsoft Foundry Toolkit for Visual Studio Code extension](https://hobbyist-e43fa225.mintlify.app/developer-experience/vs-code-agents-workflow-pro-code.md): Create, test, and deploy hosted agent workflows in Foundry Agent Service by using the Microsoft Foundry Toolkit for Visual Studio Code extension.
- [Quickstart - Get started with Azure OpenAI audio generation](https://hobbyist-e43fa225.mintlify.app/foundry-models/audio-completions-quickstart.md): Get started with audio generation using Azure OpenAI.
- [Automate Azure OpenAI deployments with quota in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/automate-quota-deployments.md): Programmatically create Azure OpenAI deployments and set tokens-per-minute (TPM) rate limits with REST, Azure CLI, Azure PowerShell, ARM, Bicep, and Terraform.
- [How to use global batch processing with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/batch.md): Learn how to use global batch with Azure OpenAI
- [How to use batch synthesis for text to speech avatar - Speech service](https://hobbyist-e43fa225.mintlify.app/foundry-models/batch-synthesis-avatar.md): Learn how to create text to speech avatar batch synthesis.
- [Run benchmark evaluations in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/benchmark-evaluations.md): Learn how to use benchmark evaluations in Microsoft Foundry to evaluate model and agent quality against built-in benchmark datasets and metrics.
- [Compare models using the model leaderboard](https://hobbyist-e43fa225.mintlify.app/foundry-models/benchmark-model-in-catalog.md): Compare model benchmarks across quality, safety, cost, and throughput using the model leaderboard and side-by-side comparison features in Foundry portal.
- [Work with chat completion models](https://hobbyist-e43fa225.mintlify.app/foundry-models/chatgpt.md): Learn about the options for how to use models with the chat completions API
- [Codex with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/codex.md): Learn how to use the Codex CLI and the Codex extension for Visual Studio Code with Azure OpenAI in Microsoft Foundry Models.
- [Data, privacy, and security for use of models through the model catalog in Microsoft Foundry portal (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/concept-data-privacy.md): Get details about how data that customers provide is processed, used, and stored when a user deploys a model from the model catalog. (classic)
- [Microsoft Foundry Playgrounds](https://hobbyist-e43fa225.mintlify.app/foundry-models/concept-playgrounds.md): Learn how to use Microsoft Foundry playgrounds for rapid prototyping, experimentation, and validation with AI models before production deployment.
- [Configure Claude Code for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/configure-claude-code.md): Set up Claude Code CLI and VS Code extension to use Claude models in Microsoft Foundry with enterprise security, authentication, and CI/CD integration.
- [Configure Claude Desktop for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/configure-claude-desktop.md): Configure Claude Desktop to use Microsoft Foundry as its inference provider for enterprise deployments.
- [Deploy models using Azure CLI and Bicep](https://hobbyist-e43fa225.mintlify.app/foundry-models/create-model-deployments.md): Learn how to add and configure Microsoft Foundry Models in your Foundry resource for use in inference applications using Azure CLI and Bicep templates.
- [How to Use Image Generation Models from OpenAI](https://hobbyist-e43fa225.mintlify.app/foundry-models/dall-e.md): Learn how to generate and edit images using Azure OpenAI image generation models. Discover configuration options and start creating images today.
- [Generate synthetic data with Microsoft Foundry (Preview)](https://hobbyist-e43fa225.mintlify.app/foundry-models/data-generation.md): Learn how to generate synthetic data using the Microsoft Foundry portal. Create high-quality training datasets for fine-tuning models (Preview).
- [Data, privacy, and security for Foundry Models sold by Azure in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/data-privacy.md): This document details issues for data, privacy, and security for Models sold by Azure
- [Deep research with the Responses API](https://hobbyist-e43fa225.mintlify.app/foundry-models/deep-research.md): Learn how to use Azure OpenAI deep research
- [Deploy Microsoft Foundry Models in the Foundry portal](https://hobbyist-e43fa225.mintlify.app/foundry-models/deploy-foundry-models.md): Learn how to deploy Microsoft Foundry Models in the Foundry portal for AI inference applications and integration into your projects.
- [Deploy open-source models with managed compute in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/deploy-models-managed.md): Step-by-step guide to deploy an open-source model from the Microsoft Foundry catalog onto managed compute, send inference requests, wire the deployment into a Foundry Agent, scale, monitor, and request additional quota.
- [Understanding deployment types in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/deployment-types.md): Compare Microsoft Foundry deployment types including Global Standard, Provisioned, DataZone, and Batch. Learn about data residency, pricing, and when to use each type.
- [Understand deployment types in Microsoft Foundry Models in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/deployment-types-gov.md): Compare Microsoft Foundry deployment types including Standard, DataZone, and ProvisionedManaged.
- [Deployment overview for Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/deployments-overview.md): Learn about deployment options for Microsoft Foundry Models, including standard deployments in Foundry resources and managed compute for partner and community models.
- [Azure OpenAI in Microsoft Foundry Models embeddings tutorial](https://hobbyist-e43fa225.mintlify.app/foundry-models/embeddings.md): Learn how to use Azure OpenAI's embeddings API for document search with the BillSum dataset
- [Endpoints for Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/endpoints.md): Learn how to access and use Microsoft Foundry Models endpoints for secure model inference, flexible deployments, and keyless authentication.
- [Fine-tune AI models in Microsoft Foundry with the Azure Developer CLI fine-tuning extension](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tune-cli.md): Learn how to use the Azure Developer CLI (azd) AI fine-tuning extension to initialize, submit, manage, and deploy fine-tuning jobs in Microsoft Foundry.
- [Customize a model with fine-tuning](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning.md): Learn how to fine-tune and customize Foundry models by using Python, REST APIs, or the Microsoft Foundry portal. Improve model performance with LoRA adaptation and custom datasets.
- [Microsoft Foundry fine-tuning considerations](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-considerations.md): Learn more about what you should take into consideration before fine-tuning with Microsoft Foundry.
- [Fine-tuning cost management](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-cost-management.md): Learn about the training and hosting costs associated with fine-tuning
- [Deploy a fine-tuned model](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-deploy.md): Learn how to deploy your fine-tuned model with Azure OpenAI in Microsoft Foundry Models by using Python, the REST APIs, or Microsoft Foundry portal.
- [Direct preference optimization](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-direct-preference-optimization.md): Learn how to use direct preference optimization technique to fine-tune Azure OpenAI models.
- [Fine-tuning function calls with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-functions.md): Learn how to improve tool calling performance with Azure OpenAI fine-tuning
- [Safety evaluation for fine-tuning (preview)](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-safety-evaluation.md): Learn how the safety evaluation works for Microsoft Foundry fine-tuning.
- [Vision fine-tuning](https://hobbyist-e43fa225.mintlify.app/foundry-models/fine-tuning-vision.md): Learn how to fine-tune Azure OpenAI GPT-4o and GPT-4.1 models with image inputs, including dataset requirements, image formats, and best practices.
- [Microsoft Foundry Models overview](https://hobbyist-e43fa225.mintlify.app/foundry-models/foundry-models-overview.md): Discover and deploy AI models with Microsoft Foundry Models. Browse 1,900+ models from OpenAI, Meta, and more to build scalable AI solutions. Explore now.
- [How to use function calling with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/function-calling.md): Learn how to use function calling with OpenAI models.
- [How to generate text responses with Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/generate-responses.md): Learn how to generate text responses from Foundry Models, such as Microsoft AI and DeepSeek models, by using the Responses API.
- [Speech to text quickstart](https://hobbyist-e43fa225.mintlify.app/foundry-models/get-started-speech-to-text.md): In this quickstart, learn how to use the Speech service for real-time speech to text conversion.
- [Text to speech quickstart - Speech service](https://hobbyist-e43fa225.mintlify.app/foundry-models/get-started-text-to-speech.md): Learn how to create an app that converts text to speech, and explore supported audio formats and custom configuration options.
- [Image prompt engineering techniques](https://hobbyist-e43fa225.mintlify.app/foundry-models/gpt-4-v-prompt-engineering.md): Learn how to better engineer image prompts for vision-enabled chat models.
- [GPT Realtime Translate overview](https://hobbyist-e43fa225.mintlify.app/foundry-models/gpt-realtime-translate.md): Learn about GPT Realtime Translate, a continuous real-time translation model for live multilingual audio workflows.
- [GPT Realtime Whisper overview](https://hobbyist-e43fa225.mintlify.app/foundry-models/gpt-realtime-whisper.md): Learn about GPT Realtime Whisper, a streaming transcription model for low-latency real-time captioning and monitoring of live audio.
- [How to use vision-enabled chat models](https://hobbyist-e43fa225.mintlify.app/foundry-models/gpt-with-vision.md): Learn how to use vision-enabled chat models in Azure OpenAI, including how to call the Chat Completion API and process images.
- [Instant models in Microsoft Foundry (preview)](https://hobbyist-e43fa225.mintlify.app/foundry-models/instant-models.md): Learn about instant models in Microsoft Foundry, which let you call any supported model by name without creating a deployment first.
- [How to use JSON mode with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/json-mode.md): Learn how to improve your chat completions with Azure OpenAI JSON mode
- [Plan and Manage Costs](https://hobbyist-e43fa225.mintlify.app/foundry-models/manage-costs.md): Manage Microsoft Foundry costs by estimating expenses, monitoring usage, and setting up alerts for spending anomalies with Microsoft Cost Management.
- [Managed compute in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/managed-compute-overview.md): Managed compute in Microsoft Foundry hosts open-source models on dedicated GPU capacity. Learn about deployment templates, accelerator families, scaling, billing, and access control.
- [Model benchmarks and leaderboards in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-benchmarks.md): Compare AI models using quality, safety, cost, and performance benchmarks on the model leaderboards (preview) in Microsoft Foundry portal.
- [GPT-5 vs GPT-4.1 - choosing the right model for your use case](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-choice-guide.md): Compare GPT-5 and GPT-4.1 to choose the best Azure OpenAI model for your use case, covering reasoning depth, latency, cost, and ideal scenarios for each
- [Model retirement schedule](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-retirement-schedule.md): Retirement dates and replacement models for all models available through Microsoft Foundry.
- [Model retirement schedule in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-retirement-schedule-gov.md): Retirement dates and replacement models for all models available through Microsoft Foundry in Azure Government.
- [Foundry Models lifecycle and support policy](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-retirements.md): Learn about the Microsoft Foundry Models lifecycle and support policy, including model deprecations and retirements. Explore how these changes affect your deployments.
- [Foundry Models lifecycle and support policy in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-retirements-gov.md): Learn about the Microsoft Foundry Models lifecycle and support policy, including model deprecations and retirements in Azure Government. Explore how these changes affect your deployments.
- [How to use model router for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-router.md): Learn how to use the model router in Azure OpenAI to select the best model for your task.
- [Use model router with Foundry agents](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-router-agents.md): Learn how model router selects the optimal model per request for your Foundry agents, reducing costs while maintaining quality across tool-calling, RAG, and multi-turn scenarios.
- [How model router works in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-router-how-it-works.md): Learn how model router analyzes prompts, scores candidate models, and routes requests to optimize cost, quality, and latency in Microsoft Foundry.
- [Govern model router deployments with Azure Policy](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-router-policy.md): Use Azure Policy to control which models developers can select when they deploy model router in Microsoft Foundry, across the portal, REST API, and CLI.
- [Model versioning in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-versions.md): Learn how model versions work in Microsoft Foundry Models. Understand update policies, deployment options, and how to manage version upgrades effectively.
- [Model versioning in Microsoft Foundry Models in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/model-versions-gov.md): Learn how model versions work in Microsoft Foundry Models in Azure Government. Understand update policies, deployment options, and how to manage version upgrades effectively.
- [Foundry Models from partners and community](https://hobbyist-e43fa225.mintlify.app/foundry-models/models-from-partners.md): Learn about Microsoft Foundry Models from partners and community, including their capabilities, supported input and output types, Azure Marketplace requirements, and troubleshooting.
- [Foundry Models sold by Azure](https://hobbyist-e43fa225.mintlify.app/foundry-models/models-sold-directly-by-azure.md): Learn about Microsoft Foundry Models sold by Azure, their capabilities, deployment types, and regional availability for AI applications.
- [Foundry Models sold by Azure in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/models-sold-directly-by-azure-gov.md): Learn about Microsoft Foundry Models sold by Azure in Azure Government, their capabilities, deployment types, and regional availability for AI applications.
- [Region availability for Foundry Models sold by Azure](https://hobbyist-e43fa225.mintlify.app/foundry-models/models-sold-directly-by-azure-region-availability.md): Find region availability, capabilities, and deployments types available for Microsoft Foundry Models sold by Azure, to inform their use in AI applications.
- [Upgrade or switch models with Ask AI](https://hobbyist-e43fa225.mintlify.app/foundry-models/optimization-model-upgrade.md): Learn how to use Ask AI in the Microsoft Foundry portal to detect deprecated models, evaluate alternatives, upgrade deployments, and update agents to newer model versions.
- [How to use predicted outputs with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/predicted-outputs.md): Learn how to improve your model response latency with predicted outputs
- [Enable priority processing for Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/priority-processing.md): Learn how to enable priority processing for Microsoft Foundry models to achieve low latency and high availability for time-sensitive workloads.
- [Prompt caching with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/prompt-caching.md): Learn how to use prompt caching with Azure OpenAI
- [Azure OpenAI prompt transformation concepts](https://hobbyist-e43fa225.mintlify.app/foundry-models/prompt-transformation.md): Learn about the prompt transformation feature in Azure OpenAI image generation models, how it works, and why it's necessary.
- [Operate provisioned throughput deployments in production](https://hobbyist-e43fa225.mintlify.app/foundry-models/provisioned-get-started.md): Manage PTU quota, create and scale deployments, purchase reservations, benchmark, monitor utilization, and handle high load for provisioned throughput in production.
- [Quickstart: Create a provisioned throughput deployment](https://hobbyist-e43fa225.mintlify.app/foundry-models/provisioned-quickstart.md): Create a provisioned throughput deployment in Microsoft Foundry, make an inference call, and verify utilization.
- [Provisioned throughput for Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/provisioned-throughput.md): Provisioned throughput in Microsoft Foundry gives you dedicated AI model capacity with predictable latency. Learn how to size PTU deployments, manage quota, and optimize billing.
- [Provisioned throughput billing and cost management](https://hobbyist-e43fa225.mintlify.app/foundry-models/provisioned-throughput-billing.md): Understand PTU billing modes, choose between hourly billing and Azure Reservations, and manage reservation costs for provisioned throughput in Microsoft Foundry.
- [Determine PTU sizing for a workload](https://hobbyist-e43fa225.mintlify.app/foundry-models/provisioned-throughput-sizing.md): Find per-model throughput parameters and estimate how many PTUs your provisioned deployment needs using formulas or the Foundry capacity calculator.
- [Upgrade from GitHub Models to Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/quickstart-github-models.md): Learn how to upgrade from GitHub Models to Microsoft Foundry Models for production-ready AI applications with enhanced features.
- [Manage Azure OpenAI in Microsoft Foundry Models quota](https://hobbyist-e43fa225.mintlify.app/foundry-models/quota.md): Learn how to use Azure OpenAI to control your deployments rate limits.
- [Azure OpenAI in Microsoft Foundry Models Quotas and Limits](https://hobbyist-e43fa225.mintlify.app/foundry-models/quotas-limits.md): This article features detailed descriptions and best practices on the quotas and limits for Azure OpenAI.
- [Azure OpenAI in Microsoft Foundry Models Quotas and Limits in Azure Government](https://hobbyist-e43fa225.mintlify.app/foundry-models/quotas-limits-gov.md): This article features detailed descriptions and best practices on the quotas and limits for Azure OpenAI in Azure Government.
- [GPT Realtime 2.0 (preview) overview](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-2.md): Learn about GPT Realtime 2, a speech-to-speech model with built-in reasoning for low-latency interactive voice experiences.
- [Use the GPT Realtime API for speech and audio with Azure OpenAI](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-audio.md): Learn how to use the GPT Realtime API for speech and audio with Azure OpenAI.
- [Migration from Preview to GA version of Realtime API](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-audio-preview-api-migration-guide.md): Step-by-step guide for migrating from Preview (Beta) to Generally Available version of OpenAI GPT Realtime API protocol.
- [Use the GPT Realtime API via SIP](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-audio-sip.md): Learn how to use the GPT Realtime API for speech and audio via SIP.
- [Use the GPT Realtime API via WebRTC](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-audio-webrtc.md): Learn how to use the GPT Realtime API for speech and audio via WebRTC.
- [Use the GPT Realtime API via WebSockets](https://hobbyist-e43fa225.mintlify.app/foundry-models/realtime-audio-websockets.md): Learn how to use the GPT Realtime API for speech and audio via WebSockets.
- [Azure OpenAI reasoning models - GPT-5 series, o3-mini, o1, o1-mini](https://hobbyist-e43fa225.mintlify.app/foundry-models/reasoning.md): Learn how to use Azure OpenAI's advanced GPT-5 series, o3-mini, o1, & o1-mini reasoning models
- [Feature availability across cloud regions](https://hobbyist-e43fa225.mintlify.app/foundry-models/region-support.md): This article lists Microsoft Foundry feature availability across cloud regions.
- [Reinforcement fine-tuning](https://hobbyist-e43fa225.mintlify.app/foundry-models/reinforcement-fine-tuning.md): Learn how to use reinforcement fine-tuning with reasoning models
- [Use the Azure OpenAI Responses API](https://hobbyist-e43fa225.mintlify.app/foundry-models/responses.md): Learn how to use the Azure OpenAI Responses API to create, retrieve, and delete stateful responses with Python or REST, including streaming and tools.
- [Auto and direct model routing with the Responses API](https://hobbyist-e43fa225.mintlify.app/foundry-models/responses-model-routing.md): Use the Responses API as a single interface to call any model in Microsoft Foundry, from automatic selection with model router to deterministically named models.
- [Retired Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/retired-models.md): Retired Foundry Models: Find out which Microsoft Foundry Models are retired and explore alternatives.
- [Manage traffic with spillover for provisioned deployments](https://hobbyist-e43fa225.mintlify.app/foundry-models/spillover-traffic-management.md): Learn how to configure spillover for provisioned deployments of Azure OpenAI models to automatically route overflow requests to a standard deployment and reduce disruptions during traffic bursts.
- [How to use structured outputs with Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/foundry-models/structured-outputs.md): Learn how to improve your model responses with structured outputs
- [Azure OpenAI in Microsoft Foundry Models supported programming languages](https://hobbyist-e43fa225.mintlify.app/foundry-models/supported-languages.md): Programming language support for Azure OpenAI.
- [How to troubleshoot your deployments and monitors in Microsoft Foundry portal (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/troubleshoot-deploy-and-monitor.md): Learn how to troubleshoot and monitor model deployments in Microsoft Foundry portal to quickly resolve errors and optimize performance. (classic)
- [How to use image and audio in chat completions with Microsoft Foundry Models (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-chat-multi-modal.md): Learn how to process audio and images with chat completions models with Microsoft Foundry Models (classic)
- [How to use reasoning models with Microsoft Foundry Models (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-chat-reasoning.md): Learn how to use reasoning capabilities from models with Microsoft Foundry Models (classic)
- [How to generate embeddings with Microsoft Foundry Models service (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-embeddings.md): Learn how to generate embeddings with Microsoft Foundry Models (classic)
- [Deploy and use Claude models in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-foundry-models-claude.md): Deploy Anthropic's Claude models in Microsoft Foundry to integrate advanced conversational AI into your apps. Learn how to use Claude Opus, Sonnet, and Haiku models.
- [Deploy and use FLUX models in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-foundry-models-flux.md): Deploy Black Forest Labs FLUX image generation models in Microsoft Foundry to generate and edit high-quality images from text prompts and reference images.
- [Deploy and use MAI image models in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-foundry-models-mai.md): Deploy MAI image models in Microsoft Foundry, to generate high-quality images from natural language prompts and perform image-to-image editing.
- [How to use image-to-text models in the model catalog (classic)](https://hobbyist-e43fa225.mintlify.app/foundry-models/use-image-models.md): Learn how to use image-to-text models from the Foundry model catalog. (classic)
- [Sora 2 video generation overview (preview)](https://hobbyist-e43fa225.mintlify.app/foundry-models/video-generation.md): Learn about Sora 2, an AI model for generating realistic and imaginative video scenes from text instructions, including safety, limitations, and supported features.
- [How to use video translation - Speech service](https://hobbyist-e43fa225.mintlify.app/foundry-models/video-translation-get-started.md): Learn about how to use video translation.
- [Get started with Voice Live for real-time voice agents](https://hobbyist-e43fa225.mintlify.app/foundry-models/voice-live-quickstart.md): Learn how to use Voice Live API for real-time voice agents with Azure Speech in Foundry Tools.
- [Web search with the Responses API](https://hobbyist-e43fa225.mintlify.app/foundry-models/web-search.md): Learn how to use Web search with the Responses API
- [Azure OpenAI in Foundry Models Webhooks](https://hobbyist-e43fa225.mintlify.app/foundry-models/webhooks.md): Learn how to use webhooks with Azure OpenAI in Foundry Models.
- [WebSocket Mode for Azure OpenAI Responses API](https://hobbyist-e43fa225.mintlify.app/foundry-models/websockets.md): Learn how to use the Responses API in WebSocket mode for fast, efficient Azure OpenAI integrations. Get started with step-by-step guidance now.
- [What's new in model router in Microsoft Foundry Models?](https://hobbyist-e43fa225.mintlify.app/foundry-models/whats-new-model-router.md): Learn about the latest news and features updates for Azure model router.
- [Speech to text with Whisper](https://hobbyist-e43fa225.mintlify.app/foundry-models/whisper-quickstart.md): Learn how to use the Azure OpenAI Whisper model for speech to text conversion.
- [Azure OpenAI in Microsoft Foundry Models working with models](https://hobbyist-e43fa225.mintlify.app/foundry-models/working-with-models.md): Learn about managing model deployment life cycle, updates, & retirement.
- [Ask AI for help](https://hobbyist-e43fa225.mintlify.app/get-started/ask-ai.md): Learn how to ask AI for help, getting your questions answered and tasks supported.
- [Tutorial: Idea to prototype - Build and evaluate an enterprise agent](https://hobbyist-e43fa225.mintlify.app/get-started/developer-journey-idea-to-prototype.md): Prototype an enterprise agent: build a single agent with SharePoint grounding and Model Context Protocol (MCP) tools, run batch evaluation, extend to multi-agent, and deploy to Microsoft Foundry.
- [Microsoft Foundry Quickstart](https://hobbyist-e43fa225.mintlify.app/get-started/get-started-code.md): Get started with Microsoft Foundry SDK building AI applications.
- [Migrate from the Foundry (classic) portal](https://hobbyist-e43fa225.mintlify.app/get-started/navigate-from-classic.md): Map classic terminology, features, SDKs, and portal navigation to their current equivalents in Microsoft Foundry so you can plan and execute your migration.
- [Quickstart: Set up Microsoft Foundry resources](https://hobbyist-e43fa225.mintlify.app/get-started/quickstart-create-foundry-resources.md): Learn how to create a Microsoft Foundry project, deploy a model, and grant access to team members so they can build AI applications.
- [Groundedness Detection Filter](https://hobbyist-e43fa225.mintlify.app/guardrails/content-filter-groundedness.md): Learn how to use groundedness detection in Azure OpenAI in Microsoft Foundry Models to validate LLM responses against source documents for RAG scenarios.
- [Personally Identifiable Information (PII) Filter](https://hobbyist-e43fa225.mintlify.app/guardrails/content-filter-personal-information.md): Learn about the Personally Identifiable Information (PII) filter for identifying and flagging known personal information in large language model outputs.
- [Prompt Shields in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/guardrails/content-filter-prompt-shields.md): Learn how Prompt Shields in Microsoft Foundry detect and block user prompt attacks and document attacks on your model deployments and agents.
- [Protected Material Detection Filter](https://hobbyist-e43fa225.mintlify.app/guardrails/content-filter-protected-material.md): Learn about the Protected Material Detection Filter for identifying and flagging known protected text and code content in large language model outputs.
- [Harm categories and severity levels in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/guardrails/content-filter-severity-levels.md): Learn about the harm categories and severity levels used by the content safety system in Microsoft Foundry to detect and filter harmful content.
- [Content Streaming in Azure OpenAI](https://hobbyist-e43fa225.mintlify.app/guardrails/content-streaming.md): Learn about content streaming options in Azure OpenAI, including default and asynchronous filtering modes, and their impact on latency and performance.
- [Custom categories in Azure AI Content Safety (preview)](https://hobbyist-e43fa225.mintlify.app/guardrails/custom-categories.md): Learn about custom content categories and the different ways you can use Azure AI Content Safety to handle them on your platform.
- [Default Guardrail policies for Azure OpenAI](https://hobbyist-e43fa225.mintlify.app/guardrails/default-safety-policies.md): Learn about the default Guardrail policies that Azure OpenAI uses to flag content and ensure responsible use of the service.
- [Guardrails and controls overview in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/guardrails/guardrails-overview.md): Learn about safety and security guardrails that can be applied to models and agents in Microsoft Foundry, including risks, intervention points, and response actions.
- [Configure guided guardrail set-up for an agent](https://hobbyist-e43fa225.mintlify.app/guardrails/guided-set-up.md): Learn how to configure guardrails for your agent in Microsoft Foundry by answering guided questions about its users, data, and tools.
- [How to configure guardrails and controls in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/guardrails/how-to-create-guardrails.md): Create, configure, and manage guardrails and controls for model deployments and agents in Microsoft Foundry using the portal or REST API.
- [Intervention points concepts](https://hobbyist-e43fa225.mintlify.app/guardrails/intervention-points.md): Learn about Agentic AI intervention points.
- [Quickstart: Use a text blocklist](https://hobbyist-e43fa225.mintlify.app/guardrails/quickstart-blocklist.md): Get started using a text blocklist to detect harmful content in text.
- [Quickstart: Protected Material for Code](https://hobbyist-e43fa225.mintlify.app/guardrails/quickstart-protected-material-code.md): Learn how to detect protected material for code generated by large language models and mitigate risk with Azure AI Content Safety.
- [Safety system message templates](https://hobbyist-e43fa225.mintlify.app/guardrails/safety-system-message-templates.md): Use these safety system message templates as a starting point to reduce harmful and ungrounded outputs in your Azure OpenAI apps.
- [Agentic Workflows Task Adherence (preview)](https://hobbyist-e43fa225.mintlify.app/guardrails/task-adherence.md): Learn how to use Task Adherence to ensure AI agents align with user instructions and task objectives.
- [Integrate third-party guardrails with Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/guardrails/third-party-integrations.md): Learn how to connect external safety solutions to AI models and agents in Microsoft Foundry using third-party integrations.
- [Configure AI Gateway in your Foundry resources](https://hobbyist-e43fa225.mintlify.app/manage/enable-ai-api-management-gateway-portal.md): Enable AI Gateway with Azure API Management to apply tokens-per-minute limits and token quotas to model deployments in Microsoft Foundry.
- [Govern agent infrastructure as a Microsoft Entra administrator](https://hobbyist-e43fa225.mintlify.app/manage/govern-agent-infrastructure-entra-admin.md): Learn how to elevate access, assign the right roles, and take infrastructure-level actions on Foundry agents as a Microsoft Entra administrator.
- [Enforce Token Limits for Models](https://hobbyist-e43fa225.mintlify.app/manage/how-to-enforce-limits-models.md): Use Foundry Control Plane integration with an AI gateway to apply limits for model inference, including token limits.
- [Manage agents at scale in Microsoft Foundry Control Plane](https://hobbyist-e43fa225.mintlify.app/manage/how-to-manage-agents.md): Learn how to view your agent inventory, monitor agent health, and perform lifecycle operations by using Microsoft Foundry Control Plane.
- [Manage compliance and security in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/manage/how-to-manage-compliance-security.md): Discover how to manage compliance and secure your Microsoft Foundry assets by using guardrail policies, Microsoft Defender for Cloud, and Microsoft Purview DSPM.
- [Optimize model cost and performance](https://hobbyist-e43fa225.mintlify.app/manage/how-to-optimize-cost-performance.md): Use Ask AI in Microsoft Foundry to detect cost spikes, switch to cost-efficient models, evaluate quality, and track performance improvements.
- [Monitor AI agent fleet health and performance - Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/manage/monitoring-across-fleet.md): Track agent health, compliance, performance trends, and cost efficiency across your AI fleet by using Microsoft Foundry Control Plane monitoring.
- [What is Microsoft Foundry Control Plane?](https://hobbyist-e43fa225.mintlify.app/manage/overview.md): Learn how Microsoft Foundry Control Plane provides unified visibility, governance, and control for AI agents, models, and tools across your enterprise.
- [Quickstart: Create a guardrail policy](https://hobbyist-e43fa225.mintlify.app/manage/quickstart-create-guardrail-policy.md): Learn how to create a guardrail policy for model deployments in Microsoft Foundry so that you can govern the usage of guardrail controls across your subscription.
- [Register and Manage Custom Agents in Microsoft Foundry Control Plane](https://hobbyist-e43fa225.mintlify.app/manage/register-custom-agent.md): Learn how to register a custom agent in Microsoft Foundry Control Plane for management and observability.
- [Agent Evaluators for Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/agent-evaluators.md): Learn how to evaluate Azure AI agents using intent resolution, tool call accuracy, and task adherence evaluators.
- [AI Red Teaming Agent](https://hobbyist-e43fa225.mintlify.app/observability/ai-red-teaming-agent.md): This article provides conceptual overview of the AI Red Teaming Agent.
- [Azure OpenAI Graders for generative AI](https://hobbyist-e43fa225.mintlify.app/observability/azure-openai-graders.md): Learn about Azure OpenAI Graders for evaluating AI model outputs, including label grading, string checking, text similarity, and custom grading.
- [Built-in Evaluators Reference](https://hobbyist-e43fa225.mintlify.app/observability/built-in-evaluators.md): Comprehensive reference for all built-in evaluators in Microsoft Foundry
- [Cloud Evaluation with the Microsoft Foundry SDK](https://hobbyist-e43fa225.mintlify.app/observability/cloud-evaluation.md): Run scalable evaluations for generative AI applications using the Microsoft Foundry SDK. Learn how to integrate evaluations into your development pipeline.
- [Evaluation Cluster Analysis](https://hobbyist-e43fa225.mintlify.app/observability/cluster-analysis.md): Learn how to run and interact with an evaluation cluster analysis.
- [Custom Evaluators](https://hobbyist-e43fa225.mintlify.app/observability/custom-evaluators.md): Learn how to create custom evaluators for your AI applications using code-based or prompt-based approaches.
- [Evaluate your AI agents](https://hobbyist-e43fa225.mintlify.app/observability/evaluate-agent.md): Learn how to evaluate AI agents using built-in evaluators for quality, safety, and agent-specific behaviors.
- [Run evaluations from the Microsoft Foundry portal](https://hobbyist-e43fa225.mintlify.app/observability/evaluate-generative-ai-app.md): Learn how to evaluate the performance and safety of your generative AI models and agents using the Foundry portal.
- [See Evaluation Results in Microsoft Foundry portal](https://hobbyist-e43fa225.mintlify.app/observability/evaluate-results.md): See and analyze AI model evaluation results in Microsoft Foundry portal. Learn to view performance metrics, compare results, and interpret evaluation data for model optimization.
- [How to run an evaluation in Azure DevOps](https://hobbyist-e43fa225.mintlify.app/observability/evaluation-azure-devops.md): How to run evaluation in Azure DevOps, which enables offline evaluation of AI models within your CI/CD pipelines in Azure DevOps.
- [Generate a synthetic evaluation dataset (preview)](https://hobbyist-e43fa225.mintlify.app/observability/evaluation-dataset-synthetic.md): Use the Microsoft Foundry data generation service to bootstrap an evaluation dataset from an agent's instructions, a prompt, or a reference document.
- [How to run an evaluation in GitHub Action](https://hobbyist-e43fa225.mintlify.app/observability/evaluation-github-action.md): How to run evaluation in GitHub Action to streamline the evaluation process, allowing you to assess model performance and make informed decisions before deploying to production.
- [Rate limits, region support, and enterprise features for evaluation](https://hobbyist-e43fa225.mintlify.app/observability/evaluation-regions-limits-virtual-network.md): Learn about region availability, rate limits, virtual network support, and using your own storage account for evaluation in Microsoft Foundry.
- [General Purpose Evaluators for Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/general-purpose-evaluators.md): Learn about general-purpose evaluators for generative AI, including coherence and fluency evaluators.
- [Human Evaluation for Microsoft Foundry Agents](https://hobbyist-e43fa225.mintlify.app/observability/human-evaluation.md): Learn how to set up human evaluation for your Microsoft Foundry agents, create templates, and analyze results to improve agent performance.
- [Log end user feedback](https://hobbyist-e43fa225.mintlify.app/observability/log-end-user-feedback.md): Learn how to log end user feedback such as thumbs up/down or rating scales from your AI application using OpenTelemetry semantics in Microsoft Foundry.
- [Monitor Model Deployments in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/observability/monitor-models.md): Learn how to use Azure Monitor tools like Log Analytics to capture and analyze metrics and data logs for Foundry Models.
- [Observability in Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/observability.md): Learn how Microsoft Foundry enables safe, high-quality generative AI through systematic evaluation and observability tools.
- [Monitoring dashboard insights in Microsoft Foundry with Ask AI](https://hobbyist-e43fa225.mintlify.app/observability/optimization-dashboard.md): Discover how to use Ask AI in Microsoft Foundry to interpret your monitoring dashboard and gain actionable insights for better decision-making.
- [Retrieval-Augmented Generation (RAG) Evaluators for Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/rag-evaluators.md): Learn about Retrieval-Augmented Generation evaluators for assessing relevance, groundedness, and response completeness in generative AI systems.
- [Register external agents for observability and evaluation](https://hobbyist-e43fa225.mintlify.app/observability/register-external-agent.md): Register third-party agents running on any host in Microsoft Foundry for tracing and evaluation, without migrating the runtime or provisioning an AI Gateway.
- [Risk and Safety Evaluators for Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/risk-safety-evaluators.md): Learn about risk and safety evaluators for generative AI, including tools for assessing content safety, jailbreak vulnerabilities, and code security risks.
- [Rubric evaluators](https://hobbyist-e43fa225.mintlify.app/observability/rubric-evaluators.md): Learn about rubric evaluators for AI agents, which let you define custom scoring criteria with descriptive rubrics for LLM-as-judge evaluation.
- [Run AI Red Teaming Agent in the cloud (Microsoft Foundry SDK)](https://hobbyist-e43fa225.mintlify.app/observability/run-ai-red-teaming-cloud.md): This article provides instructions on how to use the AI Red Teaming Agent to run an automated scan in the cloud of a Generative AI application with the Microsoft Foundry SDK.
- [Run AI Red Teaming Agent Locally (Azure AI Evaluation SDK)](https://hobbyist-e43fa225.mintlify.app/observability/run-scans-ai-red-teaming-agent.md): Learn how to use the AI Red Teaming Agent to run a local automated scan of a Generative AI application with the Azure AI Evaluation SDK.
- [Microsoft Foundry risk and safety evaluations Transparency Note](https://hobbyist-e43fa225.mintlify.app/observability/safety-evaluations-transparency-note.md): Microsoft Foundry safety evaluations intended purpose, capabilities, limitations and how to achieve the best performance.
- [Textual Similarity Evaluators for Generative AI](https://hobbyist-e43fa225.mintlify.app/observability/textual-similarity-evaluators.md): Learn about textual similarity evaluators for generative AI, including semantic similarity, F1 score, BLEU, GLEU, ROUGE, and METEOR metrics.
- [Microsoft Foundry Tracing and Data Handling](https://hobbyist-e43fa225.mintlify.app/observability/trace-data.md): Tracing in Microsoft Foundry captures execution data to improve AI agent performance. Find out how to enable, disable, and govern trace data.
- [Convert agent traces into evaluation datasets (preview)](https://hobbyist-e43fa225.mintlify.app/observability/traces-to-dataset.md): Learn how to use data generation in Microsoft Foundry to turn production agent traces into evaluation and fine-tuning datasets.
- [Troubleshoot evaluation and observability issues - Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/observability/troubleshooting.md): Learn how to troubleshoot common issues with evaluations and observability in Microsoft Foundry, including storage account access, RBAC, and network configuration.
- [Known issues - Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/operate/foundry-known-issues.md): Find known issues, workarounds, and solutions for Microsoft Foundry, including Speech, Translator, and portal services. Review before submitting a support request.
- [Microsoft Foundry status dashboard (preview)](https://hobbyist-e43fa225.mintlify.app/operate/foundry-status-dashboard-documentation.md): Use the Microsoft Foundry status dashboard (preview) to monitor service health and incidents.
- [Azure OpenAI in Microsoft Foundry Model Retirements](https://hobbyist-e43fa225.mintlify.app/operate/model-retirements.md): Learn about model deprecations and retirements in Azure OpenAI.
- [Feature availability across cloud regions](https://hobbyist-e43fa225.mintlify.app/operate/region-support.md): This article lists Microsoft Foundry feature availability across cloud regions.
- [Use a screen reader with Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/operate/screen-reader.md): Learn how to get oriented and navigate Microsoft Foundry with a screen reader.
- [Microsoft Foundry docs: What's new for May 2026](https://hobbyist-e43fa225.mintlify.app/operate/whats-new-foundry.md): Discover documentation and product updates in Microsoft Foundry for May 2026.
- [Foundry Models sold by Azure abuse monitoring](https://hobbyist-e43fa225.mintlify.app/responsible-ai/abuse-monitoring.md): Learn about the abuse monitoring capabilities of Azure OpenAI
- [Limited Access features for Foundry Tools](https://hobbyist-e43fa225.mintlify.app/responsible-ai/cognitive-services-limited-access.md): Learn how Microsoft protects the rights and safety of individuals by using Limited Access features for Foundry Tools.
- [Customer Copyright Commitment Required Mitigations](https://hobbyist-e43fa225.mintlify.app/responsible-ai/customer-copyright-commitment.md): Customer Copyright Commitment Required Mitigations for Azure OpenAI in Foundry Models
- [Data, privacy, and security for Azure Direct Models in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/responsible-ai/data-privacy.md): This document details issues for data, privacy, and security for Azure Direct Models
- [Data, privacy, and security for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/responsible-ai/data-privacy-security.md): This document details issues for data, privacy, and security for the Foundry Agent Service
- [Limited access to Azure OpenAI in Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/responsible-ai/limited-access.md): This document details the limited access policy for Azure OpenAI
- [Terms and conditions for specific Microsoft Foundry Models](https://hobbyist-e43fa225.mintlify.app/responsible-ai/model-specific-terms.md): This document outlines the additional terms and conditions for using various AI models, including Grok, Llama, Black Forest Labs, and Mistral models, within Microsoft Foundry Models. It details intellectual property rights, usage restrictions, indemnification, and attribution requirements for custom…
- [Overview of Responsible AI practices for Azure OpenAI in Foundry Models](https://hobbyist-e43fa225.mintlify.app/responsible-ai/overview.md): RAI overview for Azure OpenAI Service
- [Responsible AI for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/responsible-ai/responsible-use-of-ai-overview.md): Learn how to use Foundry Tools and features responsibly with Microsoft Foundry.
- [Transparency Note for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/responsible-ai/transparency-note.md): Transparency Note for Foundry Agent Service
- [Access on-premises resources from a Foundry managed network](https://hobbyist-e43fa225.mintlify.app/security/access-on-premises-resources.md): Configure Azure Application Gateway to route traffic from a Microsoft Foundry managed virtual network to on-premises or non-Azure resources through a private endpoint.
- [Add Microsoft Foundry to a network security perimeter](https://hobbyist-e43fa225.mintlify.app/security/add-foundry-to-network-security-perimeter.md): Quickly learn how to associate a Microsoft Foundry resource with a network security perimeter and where to find detailed guidance for access rules, logging, and management.
- [Foundry Agent Service disaster recovery](https://hobbyist-e43fa225.mintlify.app/security/agent-service-disaster-recovery.md): Plan disaster recovery for Foundry Agent Service: limitations, readiness checklist, and recovery paths for platform outages and data loss.
- [Foundry Agent Service resource and data loss recovery](https://hobbyist-e43fa225.mintlify.app/security/agent-service-operator-disaster-recovery.md): Recover Foundry Agent Service projects from human or automation errors, accidental deletions, and stateful dependency loss or corruption.
- [Foundry Agent Service platform outage recovery](https://hobbyist-e43fa225.mintlify.app/security/agent-service-platform-disaster-recovery.md): Recover Foundry Agent Service projects from Azure platform and regional outages with warm standby, failover, and failback procedures.
- [Microsoft Foundry architecture](https://hobbyist-e43fa225.mintlify.app/security/architecture.md): Learn about the architecture of Microsoft Foundry.
- [Authentication and authorization in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/authentication-authorization-foundry.md): Learn how to authenticate and authorize access in Microsoft Foundry using Microsoft Entra ID and API keys. Explore RBAC, identity types, and best practices.
- [Configure Agent 365 data collection for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/configure-agent-365-data-collection.md): Learn how to enable or disable Microsoft Agent 365 data collection on a Foundry resource, and how to enforce settings across a subscription with Azure Policy.
- [Configure keyless authentication with Microsoft Entra ID](https://hobbyist-e43fa225.mintlify.app/security/configure-entra-id.md): Learn how to configure keyless authentication with Microsoft Entra ID for Microsoft Foundry Models. Eliminate the need for API keys, enhance security with RBAC, and simplify compliance.
- [How to configure network isolation for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/configure-private-link.md): Learn how to configure a network isolation end-to-end for Microsoft Foundry. A private link is used to secure communication with the Microsoft Foundry.
- [Create a custom Azure Policy for Foundry](https://hobbyist-e43fa225.mintlify.app/security/custom-policy-definition.md): Learn how to use custom Azure policies to enable self-service resource management in your organization, while applying guardrails and constraints on allowed configurations to meet security and compliance requirements.
- [Data, privacy, and security for use of Anthropic Claude models in Microsoft Foundry (preview)](https://hobbyist-e43fa225.mintlify.app/security/data-privacy.md): This document details issues for data, privacy, and security for Anthropic Claude models in Microsoft Foundry in Public Preview.
- [Enable diagnostic logging](https://hobbyist-e43fa225.mintlify.app/security/diagnostic-logging.md): This guide provides step-by-step instructions to enable diagnostic logging for a Foundry Tools. These logs provide rich, frequent data about the operation of a resource that are used for issue identification and debugging.
- [Disable preview features in Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/disable-preview-features.md): Learn how to disable preview features in Microsoft Foundry by using Azure tags to hide portal surfaces or custom RBAC roles to block specific operations.
- [Customer-Managed Keys (CMKs) for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/encryption-keys-portal.md): Learn how to use CMKs for enhanced encryption and data security in Microsoft Foundry. Configure Azure Key Vault or Azure Managed HSM integration and meet compliance requirements.
- [High availability and resiliency for Microsoft Foundry projects and Agent Services](https://hobbyist-e43fa225.mintlify.app/security/high-availability-resiliency.md): Learn how to plan for high availability and resiliency for Microsoft Foundry projects and Agent Service.
- [Plan and Manage Costs](https://hobbyist-e43fa225.mintlify.app/security/manage-costs.md): Manage Microsoft Foundry costs by estimating expenses, monitoring usage, and setting up alerts for spending anomalies with Microsoft Cost Management.
- [Configure managed virtual network for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/managed-virtual-network.md): Secure your Microsoft Foundry projects with managed virtual networks. Learn to enable outbound isolation and private endpoints for enhanced data protection.
- [Built-in policy for model deployment](https://hobbyist-e43fa225.mintlify.app/security/model-deployment-policy.md): Manage AI model deployment in Microsoft Foundry portal with built-in Azure Policy definitions. Learn how to govern and manage model deployments effectively.
- [Built-in policy definitions for Foundry Tools](https://hobbyist-e43fa225.mintlify.app/security/policy-reference.md): Lists Azure Policy built-in policy definitions for Foundry Tools. These built-in policy definitions provide common approaches to managing your Azure resources.
- [Role-based access control for Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/security/rbac-foundry.md): This article introduces role-based access control in Microsoft Foundry portal.
- [Rotate keys in Foundry Tools](https://hobbyist-e43fa225.mintlify.app/security/rotate-keys.md): Learn how to rotate API keys for better security, without interrupting service
- [Set up an Azure Key Vault Connection](https://hobbyist-e43fa225.mintlify.app/security/set-up-key-vault-connection.md): Learn how to securely connect your Azure Key Vault to Foundry. Follow step-by-step instructions to manage secrets and ensure seamless integration.
- [Deep dive into Foundry Agent Service networking](https://hobbyist-e43fa225.mintlify.app/setup/agents-networking-deep-dive.md): Understand the network architecture, subnet sizing, IP allocation, and traffic flow for hosted and prompt agents in Microsoft Foundry Agent Service with bring-your-own VNet.
- [Bring Your Own Model to Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/setup/ai-gateway.md): Connect and bring your own models hosted behind enterprise AI gateways like Azure API Management with Foundry Agent Service.
- [Connect to your own storage](https://hobbyist-e43fa225.mintlify.app/setup/bring-your-own-azure-storage-foundry.md): Learn how to bring your own storage to Microsoft Foundry for agents, evaluations, datasets, and other capabilities.
- [Connect your own storage to Speech/Language (Preview)](https://hobbyist-e43fa225.mintlify.app/setup/bring-your-own-azure-storage-speech-language-services.md): Configure customer-managed storage for Speech and Language capabilities in a Microsoft Foundry resource at creation time.
- [Add a new connection to your project](https://hobbyist-e43fa225.mintlify.app/setup/connections-add.md): Learn how to add a new connection to your Foundry project.
- [Create a project](https://hobbyist-e43fa225.mintlify.app/setup/create-projects.md): This article describes how to create a Microsoft Foundry project so you can work with generative AI in the cloud.
- [Quickstart: Deploy a Foundry resource by using Bicep](https://hobbyist-e43fa225.mintlify.app/setup/create-resource-template.md): Learn how to use a Bicep file (template) to create a Microsoft Foundry resource in your Azure subscription.
- [Use Terraform to create Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/setup/create-resource-terraform.md): In this article, you create a Microsoft Foundry resource, a Microsoft Foundry project, using Terraform infrastructure as code templates.
- [Set up your environment for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/setup/environment-setup.md): Use this guide to set up your agent environment
- [New Microsoft Foundry portal general availability overview](https://hobbyist-e43fa225.mintlify.app/setup/general-availability.md): Learn what general availability means for Microsoft Foundry, including GA scope, supported scenarios, feature readiness, and migration guidance.
- [Manage Grounding With Bing Access](https://hobbyist-e43fa225.mintlify.app/setup/manage-grounding-with-bing.md): Learn how to manage Grounding with Bing in Microsoft Foundry and Azure.
- [How to migrate from Azure AI Inference SDK to OpenAI SDK](https://hobbyist-e43fa225.mintlify.app/setup/model-inference-to-openai-migration.md): Migrate your app from the Azure AI Inference SDK to the OpenAI SDK for better compatibility and unified API access to Foundry Models.
- [Create a Foundry resource](https://hobbyist-e43fa225.mintlify.app/setup/multi-service-resource.md): Create and manage a Foundry resource.
- [Microsoft Foundry Rollout Across My Organization](https://hobbyist-e43fa225.mintlify.app/setup/planning.md): Learn how to plan the rollout of Microsoft Foundry across your organization, including environment setup, data isolation, and governance.
- [Manage and increase quotas for resources](https://hobbyist-e43fa225.mintlify.app/setup/quota.md): Learn how to view, manage, and request increases for model deployment quotas in Microsoft Foundry, including token-per-minute and provisioned throughput allocations.
- [Azure OpenAI in Microsoft Foundry Models Quotas and Limits](https://hobbyist-e43fa225.mintlify.app/setup/quotas-limits.md): This article features detailed descriptions and best practices on the quotas and limits for Azure OpenAI.
- [Recover or purge deleted Microsoft Foundry resources](https://hobbyist-e43fa225.mintlify.app/setup/recover-purge-resources.md): This article provides instructions on how to recover or purge an already-deleted Microsoft Foundry resource.
- [Set up standard agent resources for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/setup/standard-agent-setup.md): Learn how to provision and configure customer-managed Azure resources for Foundry Agent Service standard agent setup with enterprise-grade data isolation.
- [Upgrade Azure OpenAI to Microsoft Foundry](https://hobbyist-e43fa225.mintlify.app/setup/upgrade-azure-openai.md): Upgrade your Azure OpenAI resource to Microsoft Foundry to access advanced capabilities including a broader model catalog, agents service, and evaluation tools. Learn how to upgrade seamlessly.
- [Use your own resources in the Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/setup/use-your-own-resources.md): Learn how to use resources that you already have with the Foundry Agent Service.
- [Set up private networking for Foundry Agent Service](https://hobbyist-e43fa225.mintlify.app/setup/virtual-networks.md): Set up private networking for Foundry Agent Service using Bicep or Terraform. Deploy a virtual network with private endpoints, DNS zones, and deny-by-default network rules.
- [What is Microsoft Foundry?](https://hobbyist-e43fa225.mintlify.app/what-is-microsoft-foundry/what-is-foundry.md): Microsoft Foundry is a trusted platform that empowers developers to drive innovation and shape the future with AI in a safe, secure, and responsible way.

## OpenAPI Specs

- [openai-v1-stable](https://hobbyist-e43fa225.mintlify.app/openai-v1-stable.json)
- [projects-stable](https://hobbyist-e43fa225.mintlify.app/openapi/projects-stable.json)
- [projects-preview](https://hobbyist-e43fa225.mintlify.app/openapi/projects-preview.json)
- [openai-v1-preview](https://hobbyist-e43fa225.mintlify.app/openapi/openai-v1-preview.json)
- [test-api](https://hobbyist-e43fa225.mintlify.app/test-api.json)
- [openapi](https://hobbyist-e43fa225.mintlify.app/openapi.json)