azure-personalizer

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Translated

Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).

5installs
Sourcemicrosoftdocs/agent-skills
Added on

NPX Install

npx skill4agent add microsoftdocs/agent-skills azure-personalizer

Tags

Translated version includes tags in frontmatter
azure-ai-personalizertroubleshootingconfigurationlocal-inference-sdkcoding-patterns

SKILL.md Content

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Azure AI Personalizer Skill

This 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.

How to Use This Skill

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
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
This skill requires network access to fetch documentation content:
  • Preferred: Use 
    mcp_microsoftdocs:microsoft_docs_fetch
    with query string 
    from=learn-agent-skill
    . Returns Markdown.
  • Fallback: Use 
    fetch_webpage
    with query string 
    from=learn-agent-skill&accept=text/markdown
    . Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL34-L38Diagnosing and resolving common Azure Personalizer issues, including configuration, learning behavior, low-quality recommendations, API errors, and integration or data/feature problems.
Decision MakingL39-L43Guidance on when to use single-slot vs multi-slot Personalizer, comparing scenarios, behavior, and design tradeoffs for different personalization needs.
Limits & QuotasL44-L48Guidance on scaling Personalizer for high-traffic workloads, capacity planning, throughput/latency expectations, and performance considerations under Azure limits and quotas.
SecurityL49-L54Configuring encryption at rest (including customer-managed keys) and controlling data collection, storage, and privacy settings for Azure Personalizer.
ConfigurationL55-L64Configuring Personalizer’s learning behavior: policies, hyperparameters, exploration, apprentice mode, explainability, model export, and learning loop settings.
Integrations & Coding PatternsL65-L68Using the Personalizer local inference SDK for low-latency, offline/edge scenarios, including setup, integration patterns, and best practices for calling the model locally.

Troubleshooting

TopicURL
Troubleshoot common Azure Personalizer issueshttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/frequently-asked-questions

Decision Making

TopicURL
Choose between single-slot and multi-slot Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-multi-slot-personalization

Limits & Quotas

TopicURL
Plan scalability and performance for Personalizer workloadshttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-scalability-performance

Security

TopicURL
Configure data-at-rest encryption and CMK for Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/encrypt-data-at-rest
Manage data usage and privacy in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/responsible-data-and-privacy

Configuration

TopicURL
Configure learning policy and hyperparameters in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-active-learning
Configure exploration settings for Azure Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-exploration
Enable and use inference explainability in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-inference-explainability
Configure apprentice mode learning behavior in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-learning-behavior
Export and manage Personalizer model and learning settingshttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-manage-model
Configure Azure Personalizer learning loop settingshttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-settings

Integrations & Coding Patterns

TopicURL
Use Personalizer local inference SDK for low latencyhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-thick-client