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@b3c238e
by microsoftmicrosoft/skills3.1k stars
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Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

Use this Skill: https://skilld.dev/gh/microsoft/skills/azure-ai

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referencessdkazure-ai-openai-dotnet.md

≈355 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Azure OpenAI — .NET SDK Quick Reference

Condensed from azure-ai-openai-dotnet. Full patterns (function calling, structured outputs, RAG with Search) in the azure-ai-openai-dotnet plugin skill if installed.

Install

dotnet add package Azure.AI.OpenAI

Quick Start

using Azure.AI.OpenAI;
using OpenAI.Chat;
var azureClient = new AzureOpenAIClient(new Uri(endpoint), credential);
ChatClient chatClient = azureClient.GetChatClient("gpt-4o-mini");

Non-Obvious Patterns

  • Client hierarchy: AzureOpenAIClient.GetChatClient() / GetEmbeddingClient() / GetImageClient() / GetAudioClient()
  • Reasoning models (o1): use DeveloperChatMessage instead of SystemChatMessage, set ReasoningEffortLevel
  • RAG: #pragma warning disable AOAI001 then options.AddDataSource(new AzureSearchChatDataSource{...})
  • Structured outputs: ChatResponseFormat.CreateJsonSchemaFormat(...)

Best Practices

  1. Use Entra ID in production — avoid API keys
  2. Reuse client instances — create once, share across requests
  3. Handle rate limits — implement exponential backoff for 429 errors
  4. Stream for long responses — use CompleteChatStreamingAsync
  5. Set appropriate timeouts for long completions
  6. Use structured outputs for consistent response format
  7. Monitor token usage via completion.Usage for cost management
  8. Validate tool call arguments before execution

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub16d

    This skill consists entirely of documentation, architectural quick references, and SDK code samples for Azure AI Services. It does not include any executable code or unexpected behavioral patterns. Security best practices, such as employing managed identities and avoiding hardcoded credentials, are actively promoted within the references.

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  • Snyk16d

    Risk: LOW · No issues

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Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated 2 months ago
metadata
{
  "author": "Microsoft",
  "version": "1.2.1"
}

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