How does it help with cost management?

The skill provides documentation for the Azure AI Foundry Model Router, which automatically selects the most cost-effective model based on prompt complexity.

Can I use this for video and audio generation?

Yes, it includes implementation guides for Sora video generation and GPT-4o high-accuracy transcription with speaker diarization.

Which models does this skill support?

It supports the complete 2025 Azure OpenAI lineup, including GPT-5 (Pro, Mini, Codex), GPT-4.1 with 1M context, and the o-series reasoning models (o1, o3, o4-mini).

Does it provide deployment commands?

Yes, it includes specific Azure CLI commands for creating OpenAI resources, deploying specific model versions, and managing capacity/quotas.

What is Agentic Retrieval in this context?

It refers to the integration with Azure AI Search that allows models like GPT-5 to automatically decompose queries and generate citations for better RAG performance.

Azure OpenAI 2025

Name: Azure OpenAI 2025
Author: JosiahSiegel

byJosiahSiegel

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클라우드 인프라

Deploys, manages, and integrates the latest 2025 Azure OpenAI models including GPT-5, Sora video generation, and reasoning-enhanced AI.

소개

This skill provides a comprehensive knowledge base and implementation guide for the 2025 evolution of Azure OpenAI Service. It equips developers with the tools to deploy GPT-5, GPT-4.1 (featuring a 1-million-token context window), and advanced reasoning models like o3, while integrating seamlessly with Azure AI Foundry for model routing and observability. It is essential for enterprise developers building complex agentic systems that require high-security, multimodal capabilities like Sora video generation and high-accuracy transcription with speaker diarization.

주요 기능

7 GitHub stars
Agentic retrieval and observability for monitoring reasoning steps and tool calls
Azure AI Foundry Model Router integration for cost and quality optimization
Multimodal setup for Sora (video) and GPT-image-1 (DALL-E 3 successor)
Deployment workflows for GPT-5 Pro and GPT-4.1 with 1M token context
Implementation of o1, o3, and o4-mini reasoning models for complex logic

사용 사례

Building enterprise RAG systems utilizing massive 1-million-token context windows
Implementing automated model routing to reduce AI operation costs by up to 40%
Developing specialized reasoning agents for scientific, mathematical, or coding tasks

소개

주요 기능

7 GitHub stars
Agentic retrieval and observability for monitoring reasoning steps and tool calls
Azure AI Foundry Model Router integration for cost and quality optimization
Multimodal setup for Sora (video) and GPT-image-1 (DALL-E 3 successor)
Deployment workflows for GPT-5 Pro and GPT-4.1 with 1M token context
Implementation of o1, o3, and o4-mini reasoning models for complex logic

사용 사례

Building enterprise RAG systems utilizing massive 1-million-token context windows
Implementing automated model routing to reduce AI operation costs by up to 40%
Developing specialized reasoning agents for scientific, mathematical, or coding tasks