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articles/ai-foundry/how-to/autoscale.md

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ms.topic: how-to
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ms.date: 12/09/2024
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ms.date: 03/27/2025
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ms.reviewer: siarora
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author: Blackmist

articles/ai-foundry/how-to/develop/sdk-overview.md

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ms.topic: overview
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ms.date: 02/27/2025
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ms.topic: how-to
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ms.date: 03/27/2025
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author: sdgilley
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- [Create a chat app](../../quickstarts/get-started-code.md)
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- [Create a custom RAG app](../../tutorials/copilot-sdk-create-resources.md)
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## Get started with Projects
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## Prerequisites
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The best way to get started using the Azure AI Foundry SDK is by using a project. AI projects connect together different data, assets, and services you need to build AI applications. The AI project client allows you to easily access these project components from your code by using a single connection string.
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* An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/free/).
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* [Create a project](../create-projects.md) if you don't have one already.
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* Sign in with the Azure CLI using the same account that you use to access your AI Project:
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First follow steps to [create an AI Project](../create-projects.md) if you don't have one already.
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```bash
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az login
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```
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Sign in with the Azure CLI using the same account that you use to access your AI Project:
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## Install everything
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```bash
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az login
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Install all the Azure AI Foundry SDK packages as shown here, or install only the packages you need in the following sections.
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::: zone pivot="programming-language-python"
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1. Create a file named **requirements.txt**. Add the following packages to the file:
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```txt
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azure-ai-projects
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azure-identity
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openai
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azure-ai-inference
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azure-search-documents
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azure-ai-evaluation
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azure-monitor-opentelemetry
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```
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1. Install the packages:
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```bash
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pip install -r requirements.txt
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```
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---
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::: zone-end
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::: zone pivot="programming-language-csharp"
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```dotnet
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dotnet add package Azure.AI.Projects
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dotnet add package Azure.Identity
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dotnet add package Azure.AI.OpenAI
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dotnet add package Azure.AI.Inference
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dotnet add package Azure.Search.Documents
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```
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Add using statements:
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```csharp
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using Azure.Identity;
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using Azure.AI.Projects;
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using OpenAI.Chat;
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using Azure.AI.OpenAI;
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using Azure.AI.Inference;
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using Azure.Search.Documents;
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using Azure.Search.Documents.Models;
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```
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---
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::: zone-end
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## Get started with projects
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The best way to get started using the Azure AI Foundry SDK is by using a project. AI projects connect together different data, assets, and services you need to build AI applications. The AI project client allows you to easily access these project components from your code by using a single connection string.
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Install the Azure AI projects client library:
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::: zone pivot="programming-language-python"

articles/ai-foundry/how-to/disaster-recovery.md

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ms.date: 12/05/2024
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ms.date: 03/26/2025
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---
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# Customer enabled disaster recovery

articles/ai-services/openai/concepts/provisioned-migration.md

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ms.date: 03/26/2025
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recommendations: false
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|gpt-4| 0613, 1106-Preview, 0125-Preview|
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|gpt-4-turbo| 2024-04-09|
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|gpt-4-32k| 0613|
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|gpt-4o| 2042-05-13, 2024-08-06|
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|gpt-4o| 2024-05-13, 2024-08-06|
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|gpt-4o-mini| 2024-07-18|
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articles/ai-services/openai/faq.yml

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ms.date: 08/13/2024
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ms.date: 03/27/2025
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ms.author: mbullwin
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title: Azure OpenAI Service frequently asked questions

articles/ai-services/openai/how-to/fine-tuning.md

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zone_pivot_groups: openai-fine-tuning

articles/ai-services/openai/how-to/switching-endpoints.yml

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articles/ai-services/openai/includes/batch/batch-rest.md

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Cancels an in-progress batch. The batch will be in status `cancelling` for up to 10 minutes, before changing to `cancelled`, where it will have partial results (if any) available in the output file.
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curl https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}/cancel?api-version=2024-10-21 \
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curl -X POST https://YOUR_RESOURCE_NAME.openai.azure.com/openai/batches/{batch_id}/cancel?api-version=2024-10-21 \
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-H "api-key: $AZURE_OPENAI_API_KEY"
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articles/ai-services/openai/index.yml

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### YamlMime:Landing
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title: Azure OpenAI Service documentation # < 60 chars
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summary: Azure OpenAI Service provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure.
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summary: Azure OpenAI Service provides access to OpenAI's models including o-series, GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure.
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metadata:
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title: Azure OpenAI Service documentation - Quickstarts, Tutorials, API Reference - Azure AI services | Microsoft Docs
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description: Learn how to use Azure OpenAI's powerful models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALL-E 3 and Embeddings model series
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description: Learn how to use Azure OpenAI's powerful models including o-series, GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALL-E 3 and Embeddings model series
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# linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
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# Limits: https://review.learn.microsoft.com/help/contribute/contribute-how-to-write-landing-page?branch=main#limits
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links:
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- text: Migrate to OpenAI Python 1.x
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url: ./how-to/migration.md
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- text: Manage models
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url: ./how-to/working-with-models.md
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- text: Responses API & computer-use-preview
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url: ./how-to/responses.md
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- text: Reasoning models
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url: ./how-to/reasoning.md
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- text: OpenAI versus Azure OpenAI (Python)
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url: ./how-to/switching-endpoints.yml
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- text: Global batch
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- text: Role-based access control (Azure RBAC)
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url: ./how-to/role-based-access-control.md
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- text: GPT-3.5 Turbo & GPT-4
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- text: Structured outputs
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url: ./how-to/structured-outputs.md
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- text: Chat completion models
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- text: Vision-enabled models
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