[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ED7VC0E2T0DN76DPP518P5":3,"skill-same:01M6ED7VC0E2T0DN76DPP518P5":48},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":11,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":21,"linkOnly":22,"markdownContent":23,"markdownBody":23,"frontMatter":24,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":28,"repositoryHtmlUrl":29,"repositoryHomepageUrl":30,"ownerHtmlUrl":31,"ownerBlogUrl":6,"ownerDescription":32,"updatedAt":33,"install":34,"resources":47},"01M6ED7VC0E2T0DN76DPP518P5","azure-foundry-classic",null,"ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002FMicrosoftDocs\u002FAgent-Skills\u002Fazure-foundry-classic\u002FSKILL.md",[],[18,19,20],"foundry","azure","azure foundry classic","2026-11-10 10:12:30",false,"# Azure Foundry Classic Skill\n\nThis skill provides expert guidance for Azure Foundry Classic. 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.\n\n## How to Use This Skill\n\n> **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 file\n\n> **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:\u002F\u002Fgithub.com\u002FMicrosoftDocs\u002Fmcp\u002Fblob\u002Fmain\u002FREADME.md)\n\nThis skill requires **network access** to fetch documentation content:\n- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.\n- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text\u002Fmarkdown`. Returns Markdown.\n\n## Category Index\n\n| Category | Lines | Description |\n|----------|-------|-------------|\n| Troubleshooting | L37-L45 | Diagnosing and fixing Foundry issues: compute sessions, deployments\u002Fmonitoring, private endpoints, Azure OpenAI fine-tuning errors, and known bugs with workarounds. |\n| Best Practices | L46-L67 | Best practices for prompts, safety, fine-tuning (incl. vision & function calling), performance\u002Flatency, cost, HA\u002FDR, and using Azure OpenAI\u002FFoundry reasoning and On Your Data features. |\n| Decision Making | L68-L98 | Guidance on choosing models, regions, versions, costs, capacity, governance, migration paths, and lifecycle\u002FBCDR strategies for Azure OpenAI and Microsoft Foundry deployments |\n| Architecture & Design Patterns | L99-L104 | RAG\u002Findexing design patterns in Foundry and how to architect hub projects for high availability, failover, and disaster recovery. |\n| Limits & Quotas | L105-L119 | Quotas, rate limits, regional availability, and capacity options for Foundry Agents, models, Azure OpenAI (incl. batch, dynamic quota, priority), plus how to view, manage, and increase them. |\n| Security | L120-L166 | Security, access, and governance for Foundry: encryption, RBAC, networks\u002FPrivate Link, Azure Policy, content safety\u002Fguardrails, data privacy, and securing Azure OpenAI\u002Ftools. |\n| Configuration | L167-L211 | Configuring and monitoring Foundry and Azure OpenAI: infrastructure, agents, hubs, tools, storage, networking, tracing, evaluations, and metrics\u002Flogs for reliable AI app deployments. |\n| Integrations & Coding Patterns | L212-L325 | Patterns and code to integrate Foundry and Azure OpenAI models\u002Fagents with tools, data sources, SDKs, search\u002Fgrounding, real‑time audio, evaluations, and external services. |\n| Deployment | L326-L343 | Deploying and managing Foundry hubs, agents, models, and prompt flows (Bicep\u002FTerraform\u002FSDK), integrating with CI\u002FCD, handling outages\u002Frecovery, and checking regional feature availability |\n\n### Troubleshooting\n| Topic | URL |\n|-------|-----|\n| Troubleshoot compute sessions and issues in Foundry prompt flow | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-troubleshoot |\n| Troubleshoot Foundry deployments and monitoring issues | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Ftroubleshoot-deploy-and-monitor |\n| Troubleshoot private endpoint connectivity for Foundry projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Ftroubleshoot-secure-connection-project |\n| Troubleshoot Azure OpenAI fine-tuning in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tuning-troubleshoot |\n| Resolve known issues and workarounds in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Freference\u002Ffoundry-known-issues |\n\n### Best Practices\n| Topic | URL |\n|-------|-----|\n| Apply safety evaluation best practices in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fsafety-evaluations-transparency-note |\n| Deploy and use DeepSeek-R1 reasoning model in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Ftutorials\u002Fget-started-deepseek-r1 |\n| Plan Disaster Recovery for Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fagent-service-disaster-recovery |\n| Design High Availability and Resiliency for Foundry Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhigh-availability-resiliency |\n| Design effective system messages for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fadvanced-prompt-engineering |\n| Format document-embedded prompts for stronger Foundry guardrails | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-filter-document-embedding |\n| Apply fine-tuning considerations in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Ffine-tuning-considerations |\n| Engineer effective image prompts for vision models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fgpt-4-v-prompt-engineering |\n| Use prompt engineering techniques for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fprompt-engineering |\n| Use safety system message templates for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fsafety-system-message-templates |\n| Implement safety system messages in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fsystem-message |\n| Fine-tune Azure OpenAI for function calling in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tuning-functions |\n| Apply vision fine-tuning best practices in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tuning-vision |\n| Optimize Azure OpenAI performance and latency | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Flatency |\n| Apply best practices for Azure OpenAI On Your Data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fon-your-data-best-practices |\n| Optimize latency using predicted outputs in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fpredicted-outputs |\n| Reduce cost and latency with Azure OpenAI prompt caching | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fprompt-caching |\n| Apply Azure OpenAI reasoning models for complex tasks | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Freasoning |\n\n### Decision Making\n| Topic | URL |\n|-------|-----|\n| Choose Azure OpenAI models and regions for agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fconcepts\u002Fmodel-region-support |\n| Decide when and how to fine-tune models in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Ffine-tuning-overview |\n| Use Foundry model benchmarks and leaderboards | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fmodel-benchmarks |\n| Plan for Foundry model deprecation and retirement | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fmodel-lifecycle-retirement |\n| Plan Microsoft Foundry rollout and governance | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fplanning |\n| Choose the right Azure resource type for Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fresource-types |\n| Select Foundry deployment types and residency options | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fdeployment-types |\n| Choose and manage Microsoft Foundry model versions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fmodel-versions |\n| Choose and manage Microsoft Foundry model versions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fmodel-versions |\n| Select Azure-sold Foundry models by region | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fmodels-sold-directly-by-azure |\n| Choose between GPT-5 and GPT-4.1 in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fmodel-choice-guide |\n| Upgrade AI apps from GitHub Models to Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fquickstart-github-models |\n| Select SDKs and languages for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fsupported-languages |\n| Compare Foundry models with leaderboard tools | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fbenchmark-model-in-catalog |\n| Plan and manage Microsoft Foundry hub costs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcosts-plan-manage |\n| Migrate from Hub-Based to New Foundry Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmigrate-project |\n| Decide when and how to upgrade Azure OpenAI to Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fupgrade-azure-openai |\n| Choose content streaming and filtering modes for Azure OpenAI in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-streaming |\n| Understand and handle retired Azure OpenAI models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Flegacy-models |\n| Plan for Azure OpenAI model deprecations and retirements | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fmodel-retirements |\n| Adopt 2024 Updates for Provisioned Throughput in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fprovisioned-migration |\n| Plan using your data with Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fuse-your-data |\n| Plan BCDR strategy for Azure OpenAI deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fbusiness-continuity-disaster-recovery |\n| Estimate and manage Foundry fine-tuning costs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tuning-cost-management |\n| Plan Costs and Capacity for Provisioned Throughput Units | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fprovisioned-throughput-onboarding |\n| Migrate from preview to GA GPT Realtime API protocol | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frealtime-audio-preview-api-migration-guide |\n| Manage Azure OpenAI model lifecycle and updates | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fworking-with-models |\n\n### Architecture & Design Patterns\n| Topic | URL |\n|-------|-----|\n| Apply RAG and indexing patterns in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fretrieval-augmented-generation |\n| Plan high availability and disaster recovery for Foundry hub projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhub-disaster-recovery |\n\n### Limits & Quotas\n| Topic | URL |\n|-------|-----|\n| Understand quotas and limits for Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fquotas-limits |\n| Rate limits and regional support for Foundry evaluations | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fevaluation-regions-limits-virtual-network |\n| Reference quotas and limits for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fquotas-limits |\n| Check regional availability matrix for serverless AI models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdeploy-models-serverless-availability |\n| Manage and request quotas for Foundry hub resources | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhub-quota |\n| Manage and Increase Model Deployment Quotas in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fquota |\n| Enable Priority Processing for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fpriority-processing |\n| Run large-scale batch jobs with Azure OpenAI Batch API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fbatch |\n| Use Azure OpenAI dynamic quota for extra capacity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fdynamic-quota |\n| Manage Azure OpenAI quota and rate limits | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fquota |\n| Reference quotas and limits for Azure OpenAI in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fquotas-limits |\n\n### Security\n| Topic | URL |\n|-------|-----|\n| Configure Browser Automation tool securely in Foundry agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbrowser-automation |\n| Securely configure Foundry Computer Use tool | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fcomputer-use |\n| Configure Authentication and Authorization in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fauthentication-authorization-foundry |\n| Configure customer-managed keys for Foundry encryption | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fencryption-keys-portal |\n| Use customer-managed keys with Foundry hub projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fhub-encryption-keys-portal |\n| Configure RBAC for Microsoft Foundry hubs and projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fhub-rbac-foundry |\n| Configure content safety guardrails for Azure-sold models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fmodel-catalog-content-safety |\n| Use Role-Based Access Control in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Frbac-foundry |\n| Understand vulnerability management for Foundry hubs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fvulnerability-management |\n| Configure and use content filtering for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fcontent-filter |\n| Use default safety policies and guardrails in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fdefault-safety-policies |\n| Configure Foundry model content filters and gated safety changes | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fconfigure-content-filters |\n| Create custom Azure Policies to restrict Foundry model deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fconfigure-deployment-policies |\n| Configure Keyless Entra ID Authentication for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fconfigure-entra-id |\n| Allow secure on-premises access from Foundry managed networks | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Faccess-on-premises-resources |\n| Add Microsoft Foundry Resources to a Network Security Perimeter | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fadd-foundry-to-network-security-perimeter |\n| Apply Azure Policy to Govern Foundry Hubs and Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fazure-policy |\n| Enforce Foundry model deployment with built-in Azure Policy | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fbuilt-in-policy-model-deployment |\n| Understand data handling and privacy for Foundry models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fconcept-data-privacy |\n| Configure managed network isolation for Microsoft Foundry hubs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fconfigure-managed-network |\n| Configure Private Link for Microsoft Foundry Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fconfigure-private-link |\n| Create a secure Foundry hub with managed virtual network | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcreate-secure-ai-hub |\n| Create custom Azure Policy for Foundry governance | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcustom-policy-definition |\n| Disable Shared-Key Access to Foundry Hub Storage | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdisable-local-auth |\n| Secure storage accounts for Foundry evaluations with RBAC | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fevaluations-storage-account |\n| Configure Private Link for Microsoft Foundry Hubs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhub-configure-private-link |\n| Configure Managed Virtual Networks for Foundry Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmanaged-virtual-network |\n| Use Built-In Azure Policies for Foundry Model Deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmodel-deployment-policy |\n| Secure configuration for Foundry playground chat on your data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fsecure-data-playground |\n| Configure Azure Key Vault Connections for Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fset-up-key-vault-connection |\n| Use groundedness detection filter for Azure OpenAI in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-filter-groundedness |\n| Enable and interpret Prompt Shields in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-filter-prompt-shields |\n| Use Protected Material Detection filter for LLM outputs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-filter-protected-material |\n| Apply harm categories and severity levels in Foundry guardrails | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fcontent-filter-severity-levels |\n| Understand default Guardrail safety policies in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fconcepts\u002Fdefault-safety-policies |\n| Configure Azure OpenAI content filters and gating | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fcontent-filters |\n| Configure Azure OpenAI with Entra ID managed identity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fmanaged-identity |\n| Secure Azure OpenAI with VNets and private endpoints | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fnetwork |\n| Add Azure OpenAI to a network security perimeter | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fnetwork-security-perimeter |\n| Monitor Azure OpenAI risks and safety activity | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frisks-safety-monitor |\n| Apply Azure RBAC to secure Azure OpenAI access | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frole-based-access-control |\n| Create and manage block lists in Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fuse-blocklists |\n| Understand data processing and privacy for Claude in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fresponsible-ai\u002Fclaude-models\u002Fdata-privacy |\n\n### Configuration\n| Topic | URL |\n|-------|-----|\n| Configure and troubleshoot Foundry capability hosts | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fconcepts\u002Fcapability-hosts |\n| Configure standard agent resources with data isolation | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fconcepts\u002Fstandard-agent-setup |\n| Set up infrastructure for Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fenvironment-setup |\n| Configure Azure Monitor metrics for Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Fmetrics |\n| Configure Foundry agents to use your own Azure resources | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Fuse-your-own-resources |\n| Reference metrics and logs for monitoring Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Freference\u002Fmonitor-service |\n| Configure Azure OpenAI graders in Foundry evaluations | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fevaluation-evaluators\u002Fazure-openai-graders |\n| Configure and use Foundry Models inference endpoints | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fconcepts\u002Fendpoints |\n| Configure Foundry model deployments with CLI and Bicep | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fcreate-model-deployments |\n| Configure Azure Monitor and logs for Foundry model deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fmonitor-models |\n| Configure Customer-Managed Storage for Microsoft Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fbring-your-own-azure-storage-foundry |\n| Configure Customer Storage for Speech and Language in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fbring-your-own-azure-storage-speech-language-services |\n| Create and manage Microsoft Foundry hubs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcreate-azure-ai-resource |\n| Create and configure compute instances in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcreate-manage-compute |\n| Configure and manage prompt flow compute sessions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fcreate-manage-compute-session |\n| Add and manage data in hub-based Foundry projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdata-add |\n| Configure cross-project access to serverless APIs in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdeploy-models-serverless-connect |\n| Trace Foundry agents with OpenTelemetry configuration | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Ftrace-agents-sdk |\n| Enable tracing and feedback for flow deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Ftrace-production-sdk |\n| Configure Azure tags to hide Foundry preview features | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdisable-preview-features |\n| Configure continuous monitoring for Foundry AI applications | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmonitor-applications |\n| Monitor quality and token usage for prompt flows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmonitor-quality-safety |\n| Configure GPT-4 Turbo with Vision tool in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fazure-open-ai-gpt-4v-tool |\n| Configure Content Safety tool in Foundry prompt flows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fcontent-safety-tool |\n| Use Embedding tool to generate vectors in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fembedding-tool |\n| Configure Index Lookup tool for RAG in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Findex-lookup-tool |\n| Configure and use LLM tool in Foundry prompt flows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fllm-tool |\n| Set up Prompt tool nodes in Foundry flows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fprompt-tool |\n| Use and configure the Python tool in prompt flow | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fpython-tool |\n| Set up Rerank tool to improve RAG search results | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Frerank-tool |\n| Configure Serp API tool integration in Foundry flows | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fprompt-flow-tools\u002Fserp-api-tool |\n| Configure Azure OpenAI for Azure Government cloud environments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fazure-government |\n| Configure Azure Blob Storage for Azure OpenAI Batch | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fbatch-blob-storage |\n| Configure and run Azure OpenAI model evaluations | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fevaluations |\n| Configure monitoring and logging for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fmonitor-openai |\n| Configure network and access for OpenAI On Your Data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fon-your-data-configuration |\n| Create and Configure Provisioned Deployments in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fprovisioned-get-started |\n| Configure reinforcement fine-tuning for reasoning models in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Freinforcement-fine-tuning |\n| Configure reproducible output for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Freproducible-output |\n| Use stored completions and distillation in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fstored-completions |\n| Reference monitoring metrics and logs for Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fmonitor-openai-reference |\n\n### Integrations & Coding Patterns\n| Topic | URL |\n|-------|-----|\n| Connect Foundry agents to existing Azure AI Search index | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fazure-ai-search |\n| Use Azure AI Search tool samples with Foundry agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fazure-ai-search-samples |\n| Extend Foundry agents with Azure Functions tools | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fazure-functions |\n| Use Azure Functions and Storage Queues with agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fazure-functions-samples |\n| Bing Search grounding code samples for agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbing-code-samples |\n| Use Custom Bing Search grounding with agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbing-custom-search |\n| Custom Bing Search grounding code samples | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbing-custom-search-samples |\n| Ground Foundry agents with Bing Search results | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbing-grounding |\n| Implement Browser Automation tool with Foundry agent samples | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fbrowser-automation-samples |\n| Run Python code with Foundry Code Interpreter tool | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fcode-interpreter |\n| Use Computer Use tool with Azure AI Projects SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fcomputer-use-samples |\n| Integrate deprecated Deep Research tool via SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fdeep-research-samples |\n| Use Microsoft Fabric data agents with Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Ffabric |\n| Configure and use Foundry file search tool | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Ffile-search |\n| Upload files with Foundry file search tool | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Ffile-search-upload-files |\n| Implement function calling in Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Ffunction-calling |\n| Integrate Logic Apps with Foundry agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Flogic-apps |\n| Connect MCP servers to Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fmodel-context-protocol |\n| MCP tool code samples for Foundry agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fmodel-context-protocol-samples |\n| Configure OpenAPI tools with Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fopenapi-spec |\n| OpenAPI tool code samples for Foundry agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fopenapi-spec-samples |\n| Ground Foundry agents with SharePoint content | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fsharepoint |\n| SharePoint grounding tool examples for agents | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftools-classic\u002Fsharepoint-samples |\n| Trigger Foundry agents from Logic Apps events | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fagents\u002Fhow-to\u002Ftriggers |\n| Use serverless API inference examples for Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fconcepts\u002Fmodels-inference-examples |\n| Call Foundry Models using the Responses API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fgenerate-responses |\n| Process images and audio in Foundry chat completions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-chat-multi-modal |\n| Use reasoning models with Foundry APIs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-chat-reasoning |\n| Generate text embeddings with Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-embeddings |\n| Deploy and integrate Claude models in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-foundry-models-claude |\n| Generate image embeddings with Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-image-embeddings |\n| Generate structured outputs from Foundry chat models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Ffoundry-models\u002Fhow-to\u002Fuse-structured-outputs |\n| Add and Configure Connections in Foundry Projects | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fconnections-add |\n| Evaluate AI agents using the Foundry SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fagent-evaluate-sdk |\n| Run local evaluations with Azure AI Evaluation SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fevaluate-sdk |\n| Integrate LangChain with Microsoft Foundry models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Flangchain |\n| Connect LangGraph and LangChain to Foundry Agent Service | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Flangchain-agents |\n| Integrate LlamaIndex with Microsoft Foundry models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fllama-index |\n| Run AI Red Teaming Agent scans in Foundry cloud | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Frun-ai-red-teaming-cloud |\n| Run AI Red Teaming Agent locally with Evaluation SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Frun-scans-ai-red-teaming-agent |\n| Choose and use Microsoft Foundry SDK endpoints | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fsdk-overview |\n| Use Semantic Kernel with Foundry model deployments | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fsemantic-kernel |\n| Trace OpenAI SDK applications with OpenTelemetry in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Ftrace-application |\n| Use MCP server tools with Foundry in VS Code | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fdevelop\u002Fvs-code-agents-mcp |\n| Deploy and invoke CXRReportGen chest X-ray report model | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhealthcare-ai\u002Fdeploy-cxrreportgen |\n| Deploy and call MedImageInsight medical image embeddings | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhealthcare-ai\u002Fdeploy-medimageinsight |\n| Use MedImageParse 2D\u002F3D medical image segmentation models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fhealthcare-ai\u002Fdeploy-medimageparse |\n| Use Foundry endpoints for third-party integrations | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fintegrate-with-other-apps |\n| Migrate from Azure AI Inference SDK to OpenAI SDK | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fmodel-inference-to-openai-migration |\n| Use image-to-text models from Foundry catalog | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fhow-to\u002Fuse-image-models |\n| Use the Azure OpenAI v1 API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fapi-version-lifecycle |\n| Generate audio with Azure OpenAI audio-enabled models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Faudio-completions-quickstart |\n| Use Azure OpenAI authoring preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fauthoring-reference-preview |\n| Create Azure OpenAI Assistants with tools | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fassistant |\n| Implement Assistants function calling in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fassistant-functions |\n| Integrate Azure OpenAI Assistants with Logic Apps | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fassistants-logic-apps |\n| Use chat completion models with Azure OpenAI API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fchatgpt |\n| Use Azure OpenAI Assistants Code Interpreter | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fcode-interpreter |\n| Use Codex CLI and VS Code extension with Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fcodex |\n| Integrate and control Computer Use in Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fcomputer-use |\n| Use Azure OpenAI image generation models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fdall-e |\n| Use o3 deep research model via Responses API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fdeep-research |\n| Migrate from Azure.AI.OpenAI .NET 1.0 beta to 2.0 | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fdotnet-migration |\n| Use Assistants file search with external data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffile-search |\n| Test fine-tuned Azure OpenAI models in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tune-test |\n| Fine-tune Foundry models using Python, REST, or portal | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffine-tuning |\n| Implement function calling with Azure OpenAI chat models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Ffunction-calling |\n| Call Azure OpenAI vision-enabled chat models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fgpt-with-vision |\n| Configure Azure OpenAI JSON mode responses | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fjson-mode |\n| Migrate Azure OpenAI apps to OpenAI Python v1.x | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fmigration |\n| Migrate Azure OpenAI apps to OpenAI JavaScript v4 | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fmigration-javascript |\n| Use GPT Realtime API for low-latency speech interactions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frealtime-audio |\n| Integrate GPT Realtime API over SIP for voice calls | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frealtime-audio-sip |\n| Integrate GPT Realtime API over WebRTC for audio | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frealtime-audio-webrtc |\n| Implement GPT Realtime audio via WebSockets in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Frealtime-audio-websockets |\n| Call Azure OpenAI Responses API for stateful multi-turn interactions | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fresponses |\n| Implement structured outputs with Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fstructured-outputs |\n| Switch Python code between OpenAI and Azure OpenAI endpoints | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fswitching-endpoints |\n| Configure web_search tool with Azure OpenAI Responses API | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fweb-search |\n| Configure Azure OpenAI webhooks for events | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fwebhooks |\n| Configure Azure OpenAI fine-tuning with Weights & Biases | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Fhow-to\u002Fweights-and-biases-integration |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Azure OpenAI v1 REST API in Foundry | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Flatest |\n| Use Realtime and Voice Live audio events with Azure OpenAI | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Frealtime-audio-reference |\n| Use GA Realtime and Voice Live audio events | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Frealtime-audio-reference-ga |\n| Use Azure OpenAI inference REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference |\n| Use Azure OpenAI preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview |\n| Use Azure OpenAI preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview |\n| Use Azure OpenAI preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview |\n| Use Azure OpenAI preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview |\n| Use Azure OpenAI preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview |\n| Use Azure OpenAI v1 preview REST API in Foundry Models | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freference-preview-latest |\n| Use Azure OpenAI with Azure Search data APIs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freferences\u002Fazure-search |\n| Integrate Azure OpenAI with Azure Cosmos DB data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freferences\u002Fcosmos-db |\n| Use Azure OpenAI with Elasticsearch data APIs | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freferences\u002Felasticsearch |\n| Integrate Azure OpenAI with MongoDB Atlas data | https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fazure\u002Ffoundry-classic\u002Fopenai\u002Freferences\u002Fmongo-db |\n| Use Azure OpenAI On Your Data via Python and REST | 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