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articles/ai-foundry/foundry-models/includes/model-matrix/global-standard.md

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title: Global standard availability for Azure Direct models
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manager: nitinme
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ms.topic: include
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ms.date: 09/15/2025
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ms.date: 09/29/2025
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---
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<!-- ## GlobalStandard.md -->
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| **Region** | **DeepSeek-R1-0528** | **DeepSeek-R1** | **DeepSeek-V3-0324** | **DeepSeek-V3.1** | **FLUX.1-Kontext-pro** | **FLUX-1.1-pro** | **grok-4-fast-reasoning** | **grok-4-fast-non-reasoning** | **grok-code-fast-1** | **grok-3** | **grok-3-mini** | **Llama-4-Maverick-17B-128E-Instruct-FP8** | **Llama-3.3-70B-Instruct** | **MAI-DS-R1** | **mistral-document-ai-2505** |
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|:-------------------|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|
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| **Region** | **DeepSeek-R1-0528** | **DeepSeek-R1** | **DeepSeek-V3-0324** | **DeepSeek-V3.1** | **FLUX.1-Kontext-pro** | **FLUX-1.1-pro** | **grok-4** | **grok-4-fast-reasoning** | **grok-4-fast-non-reasoning** | **grok-code-fast-1** | **grok-3** | **grok-3-mini** | **Llama-4-Maverick-17B-128E-Instruct-FP8** | **Llama-3.3-70B-Instruct** | **MAI-DS-R1** | **mistral-document-ai-2505** |
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|:-------------------|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|
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| canadaeast |||||||||||||||||
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| switzerlandnorth |||||||||||||||||
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| switzerlandwest |||||||||||||||||
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| uksouth |||||||||||||||||
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articles/ai-foundry/openai/includes/dall-e-typescript.md

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## Next steps
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* Explore the Image APIs in more depth with the [Image API how-to guide](../how-to/dall-e.md).
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* For more examples check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure/openai-samples).
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* For more examples check out the [Azure OpenAI Samples GitHub repository](https://github.com/Azure/azure-openai-samples).

articles/ai-foundry/responsible-ai/includes/non-english-translation.md

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> [!IMPORTANT]
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> Non-English translations are provided for convenience only. Please consult the `EN-US` version of this document for the binding version.
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> Non-English translations are provided for convenience only. Please consult the `EN-US` version of this document for the definitive version.

articles/ai-foundry/tutorials/deploy-chat-web-app.md

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First, identify the resources you need to set up in the Azure AI Foundry portal.
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1. Open the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs), then select the project you used to deploy the Azure OpenAI chat model.
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1. Open the [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs), then select the hub-based project you used to deploy the Azure OpenAI chat model.
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1. Select **Management center** from the left pane.
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1. Select **Connected resources** under your project.
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1. Identify the three resources you need to configure: the **Azure OpenAI**, the **Azure AI Search**, and the **Azure Blob storage** that corresponds to your **workspaceblobstore**.
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:::image type="content" source="../media/tutorials/deploy-chat-web-app/resources.png" alt-text="Screenshot shows the connected resources that need to be configured.":::
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> [!TIP]
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> If you don't see **Type** in the table, select **Columns** in the upper right corner and add to or reorder the **Selected columns**.
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> If you have multiple **Azure OpenAI** resources, use the one that contains your deployed chat model.
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1. Search for each of these names in the [Azure portal](https://portal.azure.com). Open each one in a new browser tab so that you can switch between them.
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1. When you're done, you have three new browser tabs open: **Search service**, **Azure AI Foundry**, and **blobstore Container**. Keep all three tabs open because you switch between them to set up the resources.
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articles/search/cognitive-search-aml-skill.md

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> * `503 Service Unavailable`
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> * `429 Too Many Requests`
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You can call the **AML** skill with the 2024-07-01 stable API version or an equivalent Azure SDK. For connections to the model catalog in the Azure AI Foundry portal, use the 2024-05-01-preview API version or later.
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You can call the **AML** skill with the stable REST API version or an equivalent Azure SDK. For connections to the model catalog in the Azure AI Foundry portal, use a preview API version.
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## AML skill for models in Azure AI Foundry
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articles/search/cognitive-search-attach-cognitive-services.md

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1. Remove the key in the body of the definition, and then send the request:
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```http
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PUT https://[servicename].search.windows.net/skillsets/[skillset name]?api-version=@search.rerankerBoostedScore
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PUT https://[servicename].search.windows.net/skillsets/[skillset name]?api-version=2025-09-01
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articles/search/cognitive-search-skill-azure-openai-embedding.md

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| Inputs | Description |
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|---------------------|-------------|
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| `resourceUri` | The URI of the model provider. This parameter only supports URLs with the `openai.azure.com` domain, such as `https://<resourcename>.openai.azure.com`. If your Azure OpenAI endpoint has a URL with the `cognitiveservices.azure.com` domain, such as `https://<resourcename>.cognitiveservices.azure.com`, you must create a [custom subdomain](/azure/ai-services/openai/how-to/use-your-data-securely#enabled-custom-subdomain) with `openai.azure.com` for the Azure OpenAI resource and use `https://<resourcename>.openai.azure.com` instead. This field is required if your Azure OpenAI resource is deployed behind a private endpoint or uses Virtual Network (VNet) integration. [Azure API Management](/azure/api-management/api-management-key-concepts) endpoints are supported with URL `https://<resourcename>.azure-api.net `. Shared private links aren't supported for API Management endpoints.
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| `resourceUri` | Required. The URI of the model provider. This parameter only supports URLs with the `openai.azure.com` domain, such as `https://<resourcename>.openai.azure.com`. If your Azure OpenAI endpoint has a URL with the `cognitiveservices.azure.com` domain, such as `https://<resourcename>.cognitiveservices.azure.com`, you must create a [custom subdomain](/azure/ai-services/openai/how-to/use-your-data-securely#enabled-custom-subdomain) with `openai.azure.com` for the Azure OpenAI resource and use `https://<resourcename>.openai.azure.com` instead. This field is required if your Azure OpenAI resource is deployed behind a private endpoint or uses Virtual Network (VNet) integration. [Azure API Management](/azure/api-management/api-management-key-concepts) endpoints are supported with URL `https://<resourcename>.azure-api.net `. Shared private links aren't supported for API Management endpoints.
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| `apiKey` | The secret key used to access the model. If you provide a key, leave `authIdentity` empty. If you set both the `apiKey` and `authIdentity`, the `apiKey` is used on the connection. |
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| `deploymentId` | The name of the deployed Azure OpenAI embedding model. The model should be an embedding model, such as text-embedding-ada-002. See the [List of Azure OpenAI models](/azure/ai-services/openai/concepts/models) for supported models.|
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| `deploymentId` | Required. The name of the deployed Azure OpenAI embedding model. The model should be an embedding model, such as text-embedding-ada-002. See the [List of Azure OpenAI models](/azure/ai-services/openai/concepts/models) for supported models.|
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| `authIdentity` | A user-managed identity used by the search service for connecting to Azure OpenAI. You can use either a [system or user managed identity](search-how-to-managed-identities.md). To use a system managed identity, leave `apiKey` and `authIdentity` blank. The system-managed identity is used automatically. A managed identity must have [Cognitive Services OpenAI User](/azure/ai-services/openai/how-to/role-based-access-control#azure-openai-roles) permissions to send text to Azure OpenAI. |
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| `modelName` | This property is required if your skillset is created using the 2024-05-01-preview or 2024-07-01 REST API. Set this property to the deployment name of an Azure OpenAI embedding model deployed on the provider specified through `resourceUri` and identified through `deploymentId`. Currently, the supported values are `text-embedding-ada-002`, `text-embedding-3-large`, and `text-embedding-3-small`. |
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| `dimensions` | Optional, starting in the 2024-05-01-preview REST API, the dimensions of embeddings that you would like to generate, assuming the model supports a range of dimensions. Supported ranges are listed below, and currently only apply to the text-embedding-3 model series. The default is the maximum dimensions for each model. For skillsets created using earlier REST API versions dating back to the 2023-10-01-preview, dimensions are fixed at 1536. When setting the dimensions property on a skill, make sure to set the `dimensions` property on the [vector field definition](vector-search-how-to-create-index.md#add-a-vector-field-to-the-fields-collection) to the same value. |
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| `modelName` | Required. Set this property to the deployment name of an Azure OpenAI embedding model deployed on the provider specified through `resourceUri` and identified through `deploymentId`. Currently, the supported values are `text-embedding-ada-002`, `text-embedding-3-large`, and `text-embedding-3-small`. |
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| `dimensions` | Optional. The dimensions of embeddings that you would like to generate, assuming the model supports a range of dimensions. Supported ranges are listed below, and currently only apply to the text-embedding-3 model series. The default is the maximum dimensions for each model. For skillsets created using earlier REST API versions dating back to the 2023-10-01-preview, dimensions are fixed at 1536. When setting the dimensions property on a skill, make sure to set the `dimensions` property on the [vector field definition](vector-search-how-to-create-index.md#add-a-vector-field-to-the-fields-collection) to the same value. |
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## Supported dimensions by `modelName`
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