1---2name: azure-personalizer3description: Azure AI Personalizer Skill4---5# Azure AI Personalizer Skill67This skill provides expert guidance for Azure AI Personalizer. Covers troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. 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 | L34-L38 | Diagnosing and resolving common Azure Personalizer issues, including configuration, learning behavior, low-quality recommendations, API errors, and integration or data/feature problems. |24| Decision Making | L39-L43 | Guidance on when to use single-slot vs multi-slot Personalizer, comparing scenarios, behavior, and design tradeoffs for different personalization needs. |25| Limits & Quotas | L44-L48 | Guidance on scaling Personalizer for high-traffic workloads, capacity planning, throughput/latency expectations, and performance considerations under Azure limits and quotas. |26| Security | L49-L54 | Configuring encryption at rest (including customer-managed keys) and controlling data collection, storage, and privacy settings for Azure Personalizer. |27| Configuration | L55-L64 | Configuring Personalizer’s learning behavior: policies, hyperparameters, exploration, apprentice mode, explainability, model export, and learning loop settings. |28| Integrations & Coding Patterns | L65-L68 | Using the Personalizer local inference SDK for low-latency, offline/edge scenarios, including setup, integration patterns, and best practices for calling the model locally. |2930### Troubleshooting31| Topic | URL |32|-------|-----|33| Troubleshoot common Azure Personalizer issues | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/frequently-asked-questions |3435### Decision Making36| Topic | URL |37|-------|-----|38| Choose between single-slot and multi-slot Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-multi-slot-personalization |3940### Limits & Quotas41| Topic | URL |42|-------|-----|43| Plan scalability and performance for Personalizer workloads | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-scalability-performance |4445### Security46| Topic | URL |47|-------|-----|48| Configure data-at-rest encryption and CMK for Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/encrypt-data-at-rest |49| Manage data usage and privacy in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/responsible-data-and-privacy |5051### Configuration52| Topic | URL |53|-------|-----|54| Configure learning policy and hyperparameters in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-active-learning |55| Configure exploration settings for Azure Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-exploration |56| Enable and use inference explainability in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-inference-explainability |57| Configure apprentice mode learning behavior in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-learning-behavior |58| Export and manage Personalizer model and learning settings | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-manage-model |59| Configure Azure Personalizer learning loop settings | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-settings |6061### Integrations & Coding Patterns62| Topic | URL |63|-------|-----|64| Use Personalizer local inference SDK for low latency | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-thick-client |
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