1---2name: microsoft-foundry3description: Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI (RAG, evals, vector/file search, fine-tuning, or realtime/audio), and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).4---5# Microsoft Foundry Skill67This skill provides expert guidance for Microsoft Foundry. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.89## How to Use This Skill1011> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file1213> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)1415This skill requires **network access** to fetch documentation content:16- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.17- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.1819## Category Index2021| Category | Lines | Description |22|----------|-------|-------------|23| Troubleshooting | L37-L42 | Diagnosing evaluation/observability problems in Foundry (metrics, logging, tracing) and resolving known platform issues with documented workarounds. |24| Best Practices | L43-L54 | Best practices for configuring tools, prompts, evaluation, safety, latency, and fine-tuning (incl. vision models) to build high-quality, efficient Azure AI/Foundry agents |25| Decision Making | L55-L85 | Guides for choosing models, deployments, costs, and tools, plus migration and upgrade paths (Azure OpenAI, GitHub Models, Assistants API) and web/Bing grounding decisions. |26| Architecture & Design Patterns | L86-L97 | Architectural patterns for Foundry agents: standard setup, RAG/indexing, HA/DR, regional recovery, provisioned throughput, spillover traffic, and LLM routing optimization. |27| Limits & Quotas | L98-L112 | Limits, quotas, regions, and availability for Foundry and Azure OpenAI models, agents, evals, vector/file search, batch, fine-tuning, and partner models. |28| Security | L113-L145 | Security, identity, networking, and compliance for Foundry: auth/RBAC, keys & encryption, private networking, guardrails, safety policies, content safety, and data privacy for models and agents |29| Configuration | L146-L192 | Configuring Foundry agents, models, tools, storage, monitoring, security, and Azure OpenAI features (search, memory, tracing, fine-tuning, prompt controls, and external integrations). |30| Integrations & Coding Patterns | L193-L257 | Patterns and code for integrating Foundry agents and models with tools, APIs, LangChain/LangGraph, Azure OpenAI, realtime/audio, search, safety, tracing, and enterprise systems. |31| Deployment | L258-L273 | Deploying agents and models: infra setup, hosting, publishing to Azure/M365/Teams, CI/CD, workflows, custom/fine-tuned/Fireworks models, and managing deployment lifecycle. |3233### Troubleshooting34| Topic | URL |35|-------|-----|36| Troubleshoot Foundry evaluation and observability issues | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/troubleshooting |37| Troubleshoot Microsoft Foundry known issues and workarounds | https://learn.microsoft.com/en-us/azure/foundry/reference/foundry-known-issues |3839### Best Practices40| Topic | URL |41|-------|-----|42| Apply tool configuration best practices for agents | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/tool-best-practice |43| Evaluate Azure AI agents with task-specific metrics | https://learn.microsoft.com/en-us/azure/foundry/concepts/evaluation-evaluators/agent-evaluators |44| Evaluate Foundry agents with built-in quality and safety tests | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/evaluate-agent |45| Improve Foundry agent prompts with Prompt Optimizer | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/prompt-optimizer |46| Design effective system messages for Azure OpenAI in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/advanced-prompt-engineering |47| Apply prompt engineering techniques for vision-enabled GPT models | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/gpt-4-v-prompt-engineering |48| Fine-tune GPT-4 vision models with images | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-vision |49| Optimize Azure OpenAI latency and throughput in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/latency |5051### Decision Making52| Topic | URL |53|-------|-----|54| Migrate from Assistants API to Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/migrate |55| Use Bing grounding tools with agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/bing-tools |56| Choose web grounding tools for Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/web-overview |57| Use Foundry model benchmarks and leaderboards for selection | https://learn.microsoft.com/en-us/azure/foundry/concepts/model-benchmarks |58| Plan for Foundry model deprecation and retirement | https://learn.microsoft.com/en-us/azure/foundry/concepts/model-lifecycle-retirement |59| Plan Microsoft Foundry rollout and environment strategy | https://learn.microsoft.com/en-us/azure/foundry/concepts/planning |60| Optimize Foundry model cost and performance | https://learn.microsoft.com/en-us/azure/foundry/control-plane/how-to-optimize-cost-performance |61| Choose Foundry deployment types and data residency options | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/deployment-types |62| Choose Foundry deployment types in Azure Government | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/deployment-types-gov |63| Manage model versioning and upgrade policies in Foundry | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/model-versions |64| Decide on model versioning and upgrade policies in Azure Government | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/model-versions-gov |65| Select Foundry models sold by Azure in Government | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure-gov |66| Decide between GPT-5 and GPT-4.1 for your use case | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/model-choice-guide |67| Upgrade workloads from GitHub Models to Foundry Models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/quickstart-github-models |68| Use Foundry model leaderboard to compare and choose models | https://learn.microsoft.com/en-us/azure/foundry/how-to/benchmark-model-in-catalog |69| Choose integration patterns for Microsoft Foundry APIs | https://learn.microsoft.com/en-us/azure/foundry/how-to/integrate-with-other-apps |70| Migrate from Azure AI Inference SDK to OpenAI SDK | https://learn.microsoft.com/en-us/azure/foundry/how-to/model-inference-to-openai-migration |71| Plan migration from classic Foundry portal | https://learn.microsoft.com/en-us/azure/foundry/how-to/navigate-from-classic |72| Decide and execute upgrade from Azure OpenAI to Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/upgrade-azure-openai |73| Use Ask AI to upgrade or switch Foundry models | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/optimization-model-upgrade |74| Choose content streaming and filtering modes in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/content-streaming |75| Review retired Azure OpenAI models in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/legacy-models |76| Manage Azure OpenAI model deprecations in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/model-retirements |77| Enable and choose priority processing for Foundry models | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/priority-processing |78| Estimate and manage fine-tuning costs in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-cost-management |79| Plan and estimate PTU costs in Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/provisioned-throughput-onboarding |80| Migrate from preview to GA Realtime API | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/realtime-audio-preview-api-migration-guide |8182### Architecture & Design Patterns83| Topic | URL |84|-------|-----|85| Design standard agent setup with isolated resources | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/standard-agent-setup |86| Apply RAG and indexing patterns in Foundry | https://learn.microsoft.com/en-us/azure/foundry/concepts/retrieval-augmented-generation |87| Plan disaster recovery for Foundry Agent Service in standard mode | https://learn.microsoft.com/en-us/azure/foundry/how-to/agent-service-disaster-recovery |88| Recover Foundry Agent Service from resource and data loss | https://learn.microsoft.com/en-us/azure/foundry/how-to/agent-service-operator-disaster-recovery |89| Recover Foundry Agent Service from regional platform outages | https://learn.microsoft.com/en-us/azure/foundry/how-to/agent-service-platform-disaster-recovery |90| Plan high availability and resiliency for Foundry projects and agents | https://learn.microsoft.com/en-us/azure/foundry/how-to/high-availability-resiliency |91| Plan provisioned throughput architecture for Foundry models | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput |92| Design spillover traffic management for provisioned deployments | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/spillover-traffic-management |9394### Limits & Quotas95| Topic | URL |96|-------|-----|97| Quotas, limits, and regions for Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/limits-quotas-regions |98| Use vector stores and file search limits in agents | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/vector-stores |99| Evaluation rate limits and region support in Foundry | https://learn.microsoft.com/en-us/azure/foundry/concepts/evaluation-regions-limits-virtual-network |100| Configure token rate limits and quotas for Foundry models | https://learn.microsoft.com/en-us/azure/foundry/control-plane/how-to-enforce-limits-models |101| Capabilities and availability of partner Foundry models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-from-partners |102| Model catalog details for Azure-sold Foundry models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure |103| Reference quotas and limits for Foundry Models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/quotas-limits |104| Use Azure OpenAI global batch processing efficiently | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/batch |105| Use reinforcement fine-tuning with cost limits | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/reinforcement-fine-tuning |106| Reference Azure OpenAI quotas and limits in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/quotas-limits |107| Understand limited access policy for Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/limited-access |108109### Security110| Topic | URL |111|-------|-----|112| Configure and govern agent identities in Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/agent-identity |113| Configure authentication methods for Agent2Agent tools | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/agent-to-agent-authentication |114| Configure authentication for MCP servers in Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/mcp-authentication |115| Configure computer use tool securely for agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/computer-use |116| Govern MCP tools with an AI gateway in Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/governance |117| Set up private networking for Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/virtual-networks |118| Configure authentication and authorization for Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/concepts/authentication-authorization-foundry |119| Configure customer-managed keys for Microsoft Foundry encryption | https://learn.microsoft.com/en-us/azure/foundry/concepts/encryption-keys-portal |120| Configure RBAC roles and scopes for Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/concepts/rbac-foundry |121| Administer Foundry agent infrastructure with Entra roles | https://learn.microsoft.com/en-us/azure/foundry/control-plane/govern-agent-infrastructure-entra-admin |122| Manage Foundry compliance and security integrations | https://learn.microsoft.com/en-us/azure/foundry/control-plane/how-to-manage-compliance-security |123| Create guardrail policies for model deployments | https://learn.microsoft.com/en-us/azure/foundry/control-plane/quickstart-create-guardrail-policy |124| Configure keyless Entra ID authentication for Foundry Models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/configure-entra-id |125| Add Microsoft Foundry resources to a network security perimeter | https://learn.microsoft.com/en-us/azure/foundry/how-to/add-foundry-to-network-security-perimeter |126| Configure Private Link network isolation for Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/configure-private-link |127| Configure and manage Microsoft Foundry connections | https://learn.microsoft.com/en-us/azure/foundry/how-to/connections-add |128| Create custom Azure Policies to govern Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/custom-policy-definition |129| Apply Azure AI Content Safety in LangChain agents | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain-middleware |130| Disable preview features in Microsoft Foundry using tags and RBAC | https://learn.microsoft.com/en-us/azure/foundry/how-to/disable-preview-features |131| Set up managed virtual networks for Microsoft Foundry projects | https://learn.microsoft.com/en-us/azure/foundry/how-to/managed-virtual-network |132| Use built-in Azure Policy definitions for Foundry model deployment | https://learn.microsoft.com/en-us/azure/foundry/how-to/model-deployment-policy |133| Secure Foundry MCP Server with RBAC and policies | https://learn.microsoft.com/en-us/azure/foundry/mcp/security-best-practices |134| Understand default guardrail safety policies in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/default-safety-policies |135| Use safety system message templates for Azure OpenAI apps | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/safety-system-message-templates |136| Author safety-focused system messages for Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/system-message |137| Apply safety evaluation to fine-tuned models | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-safety-evaluation |138| Data privacy and security for Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/agents/data-privacy-security |139| Understand data privacy and security for Anthropic Claude in Foundry | https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/claude-models/data-privacy |140| Understand data, privacy, and security for Azure Direct Models | https://learn.microsoft.com/en-us/azure/foundry/responsible-ai/openai/data-privacy |141142### Configuration143| Topic | URL |144|-------|-----|145| Configure capability hosts for Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/capability-hosts |146| Manage and disable Grounding with Bing in Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/manage-grounding-with-bing |147| Configure and manage memory in Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/memory-usage |148| Configure a private tool catalog with Azure API Center | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/private-tool-catalog |149| Configure structured inputs for Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/structured-inputs |150| Configure custom MCP-based code interpreter runtime | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/custom-code-interpreter |151| Configure file search tool for Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/file-search |152| Configure and use web search tool in Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/web-search |153| Configure Foundry Agent Service to use existing Azure resources | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/use-your-own-resources |154| Configure declarative agent workflows in VS Code | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/vs-code-agents-workflow-low-code |155| Reference for all Foundry built-in evaluators | https://learn.microsoft.com/en-us/azure/foundry/concepts/built-in-evaluators |156| Configure AI Gateway token controls in Foundry | https://learn.microsoft.com/en-us/azure/foundry/configuration/enable-ai-api-management-gateway-portal |157| Register custom agents with Foundry Control Plane | https://learn.microsoft.com/en-us/azure/foundry/control-plane/register-custom-agent |158| Configure synthetic data generation in Foundry | https://learn.microsoft.com/en-us/azure/foundry/fine-tuning/data-generation |159| Use Foundry Models endpoints and authentication correctly | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/endpoints |160| Generate text with Foundry Models using the Responses API | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/generate-responses |161| Configure Azure Monitor for Foundry model deployments | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/monitor-models |162| Configure guardrails and controls in Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/guardrails/how-to-create-guardrails |163| Configure bring-your-own storage for Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/bring-your-own-azure-storage-foundry |164| Bind customer-managed storage to Foundry Speech and Language | https://learn.microsoft.com/en-us/azure/foundry/how-to/bring-your-own-azure-storage-speech-language-services |165| Provision Microsoft Foundry resources using Terraform | https://learn.microsoft.com/en-us/azure/foundry/how-to/create-resource-terraform |166| Enable and configure Fireworks models in Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/fireworks/enable-fireworks-models |167| Connect VS Code to Foundry MCP Server | https://learn.microsoft.com/en-us/azure/foundry/mcp/get-started |168| Configure Foundry Agent Monitoring Dashboard and metrics | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/how-to-monitor-agents-dashboard |169| Configure tracing for LangChain and other AI agent frameworks | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/trace-agent-framework |170| Configure tracing for Microsoft Foundry AI agents | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/trace-agent-setup |171| Use Azure OpenAI v1 API in Foundry Models | https://learn.microsoft.com/en-us/azure/foundry/openai/api-version-lifecycle |172| Configure Prompt Shields for Foundry model security | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/content-filter-prompt-shields |173| Call chat completion models with Azure OpenAI in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/chatgpt |174| Generate and edit images with Azure OpenAI image models | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/dall-e |175| Run deep research with o3-deep-research via Responses API | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/deep-research |176| Generate and use embeddings with Azure OpenAI in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/embeddings |177| Configure DPO fine-tuning for Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-direct-preference-optimization |178| Configure and use function calling with Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/function-calling |179| Call vision-enabled chat models with Azure OpenAI in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/gpt-with-vision |180| Enable and tune JSON mode for Azure OpenAI chat completions | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/json-mode |181| Use predicted outputs to reduce Azure OpenAI latency | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/predicted-outputs |182| Configure prompt caching for Azure OpenAI in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/prompt-caching |183| Create and tune provisioned deployments in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/provisioned-get-started |184| Use Azure OpenAI Responses API with tools and streaming | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses |185| Enforce JSON schema with structured outputs in Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/structured-outputs |186| Work with Azure OpenAI model deployments in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/working-with-models |187| Monitor Foundry OpenAI with Azure Monitor data | https://learn.microsoft.com/en-us/azure/foundry/openai/monitor-openai-reference |188189### Integrations & Coding Patterns190| Topic | URL |191|-------|-----|192| Use agents, conversations, and responses in Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/runtime-components |193| Integrate enterprise AI gateways with Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/ai-gateway |194| Connect Foundry agents to Foundry IQ knowledge bases | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/foundry-iq-connect |195| Invoke Foundry Agent Applications via Responses API protocol | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/publish-responses |196| Connect Foundry agents to external A2A endpoints | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/agent-to-agent |197| Connect Azure AI Search indexes to agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/ai-search |198| Integrate Azure Speech MCP tool with Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/azure-ai-speech |199| Integrate Azure Functions as tools for agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/azure-functions |200| Use Browser Automation tool with Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/browser-automation |201| Enable Code Interpreter tool for agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/code-interpreter |202| Connect Microsoft Fabric data agent to Foundry | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/fabric |203| Use function calling tools with Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/function-calling |204| Use image generation tool in Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/image-generation |205| Connect Foundry agents to MCP servers | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/model-context-protocol |206| Connect OpenAPI tools to Microsoft Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/openapi |207| Integrate Foundry agents with SharePoint content | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/sharepoint |208| Run fine-tuning jobs with azd extension | https://learn.microsoft.com/en-us/azure/foundry/fine-tuning/fine-tune-cli |209| Configure Claude Code CLI and VS Code with Foundry | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/configure-claude-code |210| Deploy and call DeepSeek-R1 in Foundry Models | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/tutorials/get-started-deepseek-r1 |211| Integrate third-party safety tools with Foundry | https://learn.microsoft.com/en-us/azure/foundry/guardrails/third-party-integrations |212| Run cloud evaluations with Microsoft Foundry SDK | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/cloud-evaluation |213| Integrate LangChain and LangGraph with Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain |214| Build LangGraph agents with Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain-agents |215| Add Foundry long-term memory to LangChain apps | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain-memory |216| Use LangChain models with Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain-models |217| Trace LangChain apps with Foundry and Azure Monitor | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/langchain-traces |218| Run AI Red Teaming Agent scans in cloud | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/run-ai-red-teaming-cloud |219| Run AI Red Teaming Agent scans locally | https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/run-scans-ai-red-teaming-agent |220| Set up an Azure Key Vault connection for Microsoft Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/set-up-key-vault-connection |221| Use Foundry MCP Server tools and prompts | https://learn.microsoft.com/en-us/azure/foundry/mcp/available-tools |222| Build and register custom MCP servers for Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/mcp/build-your-own-mcp-server |223| Add OpenTelemetry client-side tracing to Foundry agents | https://learn.microsoft.com/en-us/azure/foundry/observability/how-to/trace-agent-client-side |224| Call Azure OpenAI audio models via API | https://learn.microsoft.com/en-us/azure/foundry/openai/audio-completions-quickstart |225| Authoring operations for Foundry OpenAI REST API | https://learn.microsoft.com/en-us/azure/foundry/openai/authoring-reference-preview |226| Use groundedness detection with Foundry OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/content-filter-groundedness |227| Integrate Codex CLI and VS Code with Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/codex |228| Fine-tune Foundry models via SDK and REST | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning |229| Fine-tune tool calling behavior in Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-functions |230| Call Foundry model router via Chat Completions API | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/model-router |231| Implement GPT Realtime audio with Azure OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/realtime-audio |232| Use GPT Realtime API over SIP | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/realtime-audio-sip |233| Use GPT Realtime API over WebRTC | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/realtime-audio-webrtc |234| Use GPT Realtime API over WebSockets | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/realtime-audio-websockets |235| Call Azure OpenAI reasoning models via Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/reasoning |236| Use web_search tool with Azure OpenAI Responses API | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/web-search |237| Set up and secure Azure OpenAI webhooks in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/webhooks |238| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |239| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |240| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |241| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |242| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |243| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |244| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |245| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |246| Integrate with Azure OpenAI v1 REST API in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/latest |247| Implement realtime audio events for Foundry OpenAI | https://learn.microsoft.com/en-us/azure/foundry/openai/realtime-audio-reference |248| Call Azure OpenAI inference REST APIs in Foundry | https://learn.microsoft.com/en-us/azure/foundry/openai/reference |249| Use Foundry OpenAI preview inference REST API | https://learn.microsoft.com/en-us/azure/foundry/openai/reference-preview |250| Call Foundry OpenAI v1 preview REST endpoints | https://learn.microsoft.com/en-us/azure/foundry/openai/reference-preview-latest |251| Build document search with Azure OpenAI embeddings API | https://learn.microsoft.com/en-us/azure/foundry/openai/tutorials/embeddings |252| Use Azure OpenAI Whisper for speech to text | https://learn.microsoft.com/en-us/azure/foundry/openai/whisper-quickstart |253254### Deployment255| Topic | URL |256|-------|-----|257| Set up infrastructure for Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/environment-setup |258| Deploy Foundry agents as digital workers in Agent 365 | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/agent-365 |259| Deploy custom hosted agents to Foundry Agent Service | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent |260| Manage lifecycle of hosted agent deployments | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/manage-hosted-agent |261| Publish Foundry agents as managed Azure resources | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/publish-agent |262| Publish Foundry agents to Microsoft 365 Copilot and Teams | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/publish-copilot |263| Create and deploy hosted Foundry agent workflows in VS Code | https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/vs-code-agents-workflow-pro-code |264| Deploy Foundry Models using Azure CLI and Bicep templates | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/create-model-deployments |265| Deploy Foundry Models via Foundry portal for inference | https://learn.microsoft.com/en-us/azure/foundry/foundry-models/how-to/deploy-foundry-models |266| Run Foundry evaluations in Azure DevOps pipelines | https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluation-azure-devops |267| Run Foundry evaluations in GitHub Actions CI | https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluation-github-action |268| Import and deploy custom Fireworks models in Foundry | https://learn.microsoft.com/en-us/azure/foundry/how-to/fireworks/import-custom-models |269| Deploy fine-tuned models on Foundry hosting | https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/fine-tuning-deploy |
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