Merge branch 'main' into release-aisvcs-move-rai-docs

v-alje · v-alje · commit c6f03a06d571 · 2025-06-11T10:05:34.000-07:00
diff --git a/articles/ai-foundry/concepts/architecture.md b/articles/ai-foundry/concepts/architecture.md
@@ -16,8 +16,7 @@ author: Blackmist
 
 # Azure AI Foundry architecture 
 
-> [!NOTE]
-> The architecture discussed in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
     
 Azure AI Foundry provides a unified experience for AI developers and data scientists to build, evaluate, and deploy AI models through a web portal, SDK, or CLI. Azure AI Foundry is built on capabilities and services provided by other Azure services.
 
diff --git a/articles/ai-foundry/concepts/encryption-keys-portal.md b/articles/ai-foundry/concepts/encryption-keys-portal.md
@@ -117,6 +117,9 @@ Managed identity must be enabled as a prerequisite for using customer-managed ke
 
 Customer-managed key encryption is configured via Azure portal in a similar way for each Azure resource:
 
+> [!IMPORTANT]
+> The Azure Key Vault used for encryption **must be in the same resource group** as the AI Foundry project. Key Vaults in other resource groups are not currently supported by the deployment wizards or project configuration workflows.
+
 1. Create a new Azure AI Foundry resource in the [Azure portal](https://portal.azure.com/).
 1. Under the **Encryption** tab, select **Customer-managed key**, **Select vault and key**, and then select the key vault and key to use.
 
diff --git a/articles/ai-foundry/concepts/vulnerability-management.md b/articles/ai-foundry/concepts/vulnerability-management.md
@@ -15,8 +15,7 @@ author: Blackmist
 
 # Vulnerability management for Azure AI Foundry
 
-> [!NOTE]
-> The information provided in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 Vulnerability management involves detecting, assessing, mitigating, and reporting on any security vulnerabilities that exist in an organization's systems and software. Vulnerability management is a shared responsibility between you and Microsoft.
 
diff --git a/articles/ai-foundry/how-to/azure-policy.md b/articles/ai-foundry/how-to/azure-policy.md
@@ -12,8 +12,7 @@ ms.topic: how-to
 
 # Audit and manage Azure AI Foundry hubs and projects
 
-> [!NOTE]
-> The policies discussed in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 As a platform administrator, you can use policies to lay out guardrails for teams to manage their own resources. [Azure Policy](/azure/governance/policy/) helps audit and govern resource state. This article explains how you can use audit controls and governance practices for [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
 
diff --git a/articles/ai-foundry/how-to/configure-managed-network.md b/articles/ai-foundry/how-to/configure-managed-network.md
@@ -848,6 +848,7 @@ Private endpoints are currently supported for the following Azure services:
 * Azure Redis Cache
 * Azure SQL Server
 * Azure Storage (all sub resource types)
+* Application Insights (Through [PrivateLinkScopes](https://learn.microsoft.com/azure/azure-monitor/logs/private-link-configure#create-azure-monitor-private-link-scope-ampls))
 
 
 When you create a private endpoint, you provide the _resource type_ and _subresource_ that the endpoint connects to. Some resources have multiple types and subresources. For more information, see [what is a private endpoint](/azure/private-link/private-endpoint-overview).
diff --git a/articles/ai-foundry/how-to/create-azure-ai-hub-template.md b/articles/ai-foundry/how-to/create-azure-ai-hub-template.md
@@ -15,8 +15,7 @@ author: Blackmist
 
 # Use an Azure Resource Manager template to create an Azure AI Foundry hub
 
-> [!NOTE]
-> The template used in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For a template that creates a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**, see [Create an Azure AI Foundry project using a Bicep template](create-azure-ai-project-template.md).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 [!INCLUDE [feature-preview](../includes/feature-preview.md)]
 
diff --git a/articles/ai-foundry/how-to/create-azure-ai-project-template.md b/articles/ai-foundry/how-to/create-azure-ai-project-template.md
@@ -15,8 +15,7 @@ ms.date: 04/29/2025
 
 # Quickstart: Create an Azure AI Foundry project using a Bicep file
 
-> [!NOTE]
-> The Bicep file used in this article is specific to a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**, and doesn't apply for a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. For a template that creates a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, see [Create an Azure AI Foundry hub using a template](create-azure-ai-hub-template.md).
+[!INCLUDE [hub-only-alt](../includes/uses-fdp-only-alt.md)]
 
 Use a [Microsoft Bicep](/azure/azure-resource-manager/bicep/overview) file (template) to create an [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) project. A template makes it easy to create resources as a single, coordinated operation. A Bicep file is a text document that defines the resources that are needed for a deployment. It might also specify deployment parameters. Parameters are used to provide input values when using the file to deploy resources.
 
diff --git a/articles/ai-foundry/how-to/create-azure-ai-resource.md b/articles/ai-foundry/how-to/create-azure-ai-resource.md
@@ -18,8 +18,7 @@ author: Blackmist
 
 # How to create and manage an Azure AI Foundry hub
 
-> [!NOTE]
-> The information provided in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 In [Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs), hubs provide the environment for a team to collaborate and organize work, and help you as a team lead or IT admin centrally set up security settings and govern usage and spend. You can create and manage a hub from the Azure portal, and then your developers can create projects from the hub.
 
diff --git a/articles/ai-foundry/how-to/create-hub-terraform.md b/articles/ai-foundry/how-to/create-hub-terraform.md
@@ -18,8 +18,7 @@ ai-usage: ai-assisted
 
 # Use Terraform to create an Azure AI Foundry hub
 
-> [!NOTE]
-> The information provided in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 In this article, you use Terraform to create an [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) hub, a project, and AI services connection. A hub is a central place for data scientists and developers to collaborate on machine learning projects. It provides a shared, collaborative space to build, train, and deploy machine learning models. The hub is integrated with Azure Machine Learning and other Azure services, making it a comprehensive solution for machine learning tasks. The hub also allows you to manage and monitor your AI deployments, ensuring they're performing as expected.
 
diff --git a/articles/ai-foundry/how-to/create-resource-template.md b/articles/ai-foundry/how-to/create-resource-template.md
@@ -18,8 +18,7 @@ ms.custom:
 
 # Quickstart: Create an Azure AI Foundry resource using a Bicep file
 
-> [!NOTE]
-> The Bicep file used in this article is specific to a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**, and doesn't apply for a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. For a template that creates a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, see [Create an Azure AI Foundry hub using a template](create-azure-ai-hub-template.md).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 Use a [Microsoft Bicep](/azure/azure-resource-manager/bicep/overview) file (template) to create an [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) resource. A template makes it easy to create resources as a single, coordinated operation. A Bicep file is a text document that defines the resources that are needed for a deployment. It might also specify deployment parameters. Parameters are used to provide input values when using the file to deploy resources.
 
diff --git a/articles/ai-foundry/how-to/create-secure-ai-hub.md b/articles/ai-foundry/how-to/create-secure-ai-hub.md
@@ -17,8 +17,7 @@ author: Blackmist
 
 # How to create a secure Azure AI Foundry hub and project with a managed virtual network
 
-> [!NOTE]
-> The information provided in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 You can secure your [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) hub, projects, and managed resources in a managed virtual network. With a managed virtual network, inbound access is only allowed through a private endpoint for your hub. Outbound access can be configured to allow either all outbound access, or only allowed outbound that you specify. For more information, see [Managed virtual network](configure-managed-network.md).
 
diff --git a/articles/ai-foundry/how-to/develop/sdk-overview.md b/articles/ai-foundry/how-to/develop/sdk-overview.md
@@ -50,7 +50,7 @@ The Azure AI Foundry Projects client library is a unified library that enables y
 * Install the project client library 
 
     ```bash
-    pip install azure-ai-projects azure-ai-identity
+    pip install azure-ai-projects azure-identity
     ```
 
 * Create a project client in code. **Copy** the Azure AI Foundry project endpoint from the Overview page of the project and update the connections string value.
diff --git a/articles/ai-foundry/how-to/disaster-recovery.md b/articles/ai-foundry/how-to/disaster-recovery.md
@@ -30,7 +30,7 @@ Microsoft strives to ensure that Azure services are always available. However, u
 > Azure AI Foundry itself does not provide automatic failover or disaster recovery.
 
 > [!NOTE]
-> The information in this article only applies to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** is not supported. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+> The information in this article only applies to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. A **[!INCLUDE [fdp](../includes/fdp-project-name.md)]** isn't supported. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
 
 ## Understand Azure services for Azure AI Foundry
 
diff --git a/articles/ai-foundry/how-to/secure-data-playground.md b/articles/ai-foundry/how-to/secure-data-playground.md
@@ -15,8 +15,7 @@ zone_pivot_groups: azure-ai-studio-sdk-cli
 
 # Use your data securely with the Azure AI Foundry portal playground
 
-> [!NOTE]
-> The information provided in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**, and doesn't apply for a **[!INCLUDE [fdp](../includes/fdp-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
 
 Use this article to learn how to securely use [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs)'s playground chat on your data. The following sections provide our recommended configuration to protect your data and resources by using Microsoft Entra ID role-based access control, a managed network, and private endpoints. We recommend disabling public network access for Azure OpenAI resources, Azure AI Search resources, and storage accounts. Using selected networks with IP rules isn't supported because the services' IP addresses are dynamic.
 
diff --git a/articles/ai-foundry/how-to/troubleshoot-secure-connection-project.md b/articles/ai-foundry/how-to/troubleshoot-secure-connection-project.md
@@ -15,8 +15,9 @@ author: Blackmist
 
 # Troubleshoot connection to a project with a private endpoint
 
-> [!NOTE]
-> The information discussed in this article is specific to a **[!INCLUDE [hub](../includes/hub-project-name.md)]**. For more information, see [Types of projects](../what-is-azure-ai-foundry.md#project-types).
+[!INCLUDE [hub-only-alt](../includes/uses-hub-only-alt.md)]
+
+When you create a project in [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs), you can choose to secure it with a private endpoint. A private endpoint allows you to connect to the project over a private network, which can help protect your data and resources. However, if you're having trouble connecting to a project that uses a private endpoint, this article provides troubleshooting steps to help you resolve the issue.
 
 When connecting to an [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs) project configured with a private endpoint, you might encounter a 403 or a messaging saying that access is forbidden. Use the information in this article to check for common configuration problems that can cause this error.
 
diff --git a/articles/ai-foundry/includes/uses-fdp-only-alt.md b/articles/ai-foundry/includes/uses-fdp-only-alt.md
@@ -0,0 +1,14 @@
+---
+title: Include file
+description: Include file
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
+ms.service: azure-ai-foundry
+ms.topic: include
+ms.date: 06/11/2025
+ms.custom: include
+---
+
+> [!NOTE]
+> The information in this article is specific to a **[!INCLUDE [fdp](fdp-project-name.md)]**, and doesn't apply to a **[!INCLUDE [hub](hub-project-name.md)]**. See [How do I know which type of project I have?](../what-is-azure-ai-foundry.md#how-do-i-know) and [Create a Foundry project](../how-to/create-projects.md?pivots="fdp-project").
diff --git a/articles/ai-foundry/includes/uses-hub-only-alt.md b/articles/ai-foundry/includes/uses-hub-only-alt.md
@@ -0,0 +1,14 @@
+---
+title: Include file
+description: Include file
+author: sdgilley
+ms.reviewer: sgilley
+ms.author: sgilley
+ms.service: azure-ai-foundry
+ms.topic: include
+ms.date: 06/11/2025
+ms.custom: include
+---
+
+> [!NOTE]
+> The information in this article is specific to a **[!INCLUDE [hub](hub-project-name.md)]**, and doesn't apply to a **[!INCLUDE [fdp](fdp-project-name.md)]**. See [How do I know which type of project I have?](../what-is-azure-ai-foundry.md#how-do-i-know) and [Create a hub based project](../how-to/create-projects.md?pivots="hub-project").
diff --git a/articles/ai-services/openai/concepts/model-retirements.md b/articles/ai-services/openai/concepts/model-retirements.md
@@ -4,7 +4,7 @@ titleSuffix: Azure OpenAI
 description: Learn about the model deprecations and retirements in Azure OpenAI.
 ms.service: azure-ai-openai
 ms.topic: conceptual
-ms.date: 04/23/2025
+ms.date: 06/11/2025
 ms.custom: 
 manager: nitinme
 author: mrbullwinkle
@@ -93,7 +93,7 @@ These models are currently available for use in Azure OpenAI.
 
 | Model                     | Version         | Retirement date                    | Replacement model                    |
 | --------------------------|-----------------|------------------------------------|--------------------------------------|
-| `computer-use-preview`    | 2025-03-11      | No earlier than June 11, 2025      |                                      |
+| `computer-use-preview`    | 2025-03-11      | No earlier than September 1, 2025  |                                      |
 | `dall-e-3`                | 3               | No earlier than June 30, 2025      |                                      |
 | `gpt-35-turbo-16k`        | 0613            | April  30, 2025                    | `gpt-4.1-mini` version: `2025-04-14` |
 | `gpt-35-turbo`            | 1106            | No earlier than July 16, 2025      | `gpt-4.1-mini` version: `2025-04-14` |
diff --git a/articles/ai-services/speech-service/includes/quickstarts/keyword-recognition/go.md b/articles/ai-services/speech-service/includes/quickstarts/keyword-recognition/go.md
@@ -1,3 +1,4 @@
+---
 author: eric-urban
 ms.service: azure-ai-speech
 ms.topic: include
diff --git a/articles/ai-services/speech-service/includes/release-notes/release-notes-stt.md b/articles/ai-services/speech-service/includes/release-notes/release-notes-stt.md
@@ -10,7 +10,7 @@ ms.custom: references_regions
 ### June 2025 release
 
 #### Improved speech to text models
-Accuracy of speech to text models for `de-DE`, `en-US`, `en-GB`, `es-ES`, `es-MX`,  `fr-FR`, `it-IT`, `ja-JP`, `ko-KR`, `pt-BR`, and `zh-CN` locales are improved by 10%-25% percent respectively, particularly with improved readaibility and recognition on entities.
+Accuracy of speech to text models in [fast transcription](../../fast-transcription-create.md) for `de-DE`, `en-US`, `en-GB`, `es-ES`, `es-MX`,  `fr-FR`, `it-IT`, `ja-JP`, `ko-KR`, `pt-BR`, and `zh-CN` locales are improved by 10%-25% percent respectively, particularly with improved readaibility and recognition on entities.
 
 ### May 2025 release
 
diff --git a/articles/ai-services/translator/document-translation/how-to-guides/use-rest-api-programmatically.md b/articles/ai-services/translator/document-translation/how-to-guides/use-rest-api-programmatically.md
@@ -5,7 +5,7 @@ author: laujan
 manager: nitinme
 ms.service: azure-ai-translator
 ms.topic: quickstart
-ms.date: 04/14/2025
+ms.date: 06/10/2025
 ms.author: lajanuar
 recommendations: false
 ms.devlang: csharp
@@ -183,6 +183,76 @@ The following headers are included with each Document translation API request:
 }
 ```
 
+### Translate text embedded within images in documents 🆕
+
+> [!Note]
+>
+> * This feature is optional and must be enabled for each translation request.
+> * Enabling this feature will incur additional costs based on usage. For more information, *see* [Azure AI Vision pricing](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/)
+> * This feature is currently available only with the Batch Document translation API.
+> * The Supported file format is `.docx` only.
+> * An Azure AI Foundry resource (not the standalone Translator resource) is required to use this feature.
+
+### Request configuration
+
+* Use the optional `translateTextWithinImage` parameter in the `options` field
+
+   * Data type: Boolean (`true` or `false`) 
+   * Default Boolean setting is `false`. Set the option to `true` to enable image text translation.
+
+* Here's a sample JSON request:
+
+  ```json
+  {
+    "inputs": [
+      {
+        "source": {
+          "sourceUrl": "<SAS-URL>",
+          "language": "en"
+        },
+        "targets": [
+          {
+            "targetUrl": "<SAS-URL>",
+            "language": "ta"
+          }
+        ]
+      }
+    ],
+    "options": {
+      "experimental": false,
+      "translateTextWithinImage": true
+    }
+  }
+  ```
+
+* **Response Details**. When the feature is enabled, added image processing information is included with the response: 
+
+   * **`totalImageScansSucceeded`**. The number of successfully translated image scans.
+
+   * **`totalImageScansFailed`**. The number of image scans that failed processing.
+
+* Here's a sample JSON response:
+
+  ```json
+    {
+        "id": "1a2b0c23-45d6-789-a123-a456fdaf7890",
+        "createdDateTimeUtc": "2024-11-13T22:06:58.2789197Z",
+        "lastActionDateTimeUtc": "2024-11-13T22:07:14.1608283Z",
+        "status": "Running",
+        "summary": {
+            "total": 1,
+            "failed": 0,
+            "success": 0,
+            "inProgress": 1,
+            "notYetStarted": 0,
+            "cancelled": 0,
+            "totalCharacterCharged": 0,
+            "totalImageScansSucceeded": 2,
+            "totalImageScansFailed": 0
+        }
+    }
+  ```
+
 ### Translate documents using a custom glossary
 
 ```json
@@ -209,29 +279,6 @@ The following headers are included with each Document translation API request:
 }
 ```
 
-### 🆕 Translate text embedded in images within documents
-
-> [!Note]
->
-> * This feature is optional and must be enabled for each translation request.
-> * Enabling this feature will incur additional costs based on usage. For more information, *see* [Azure AI Vision pricing](https://azure.microsoft.com/pricing/details/cognitive-services/computer-vision/)
-> * This feature is currently available only with the Batch Document translation API.
-> * The Supported file format is `.docx` only.
-> * An Azure AI Foundry resource (not the standalone Translator resource) is required to use this feature.
-
-### Request configuration
-
-* Use the optional `translateTextWithinImage` parameter in the `options` field
-
-   * Data type: Boolean (`true` or `false`) 
-   * Default Boolean setting is `false`. Set the option to `true` to enable image text translation.
-
-* **Response Details**. When the feature is enabled, added image processing information is included with the response: 
-
-   * **`totalImageScansSucceeded`**. The number of successfully translated image scans.
-
-   * **`totalImageScansFailed`**. The number of image scans that failed processing.
-
 ## Use code to submit Document translation requests
 
 ### Set up your coding Platform
diff --git a/articles/ai-services/translator/document-translation/overview.md b/articles/ai-services/translator/document-translation/overview.md
diff --git a/articles/ai-services/translator/document-translation/quickstarts/client-library-sdks.md b/articles/ai-services/translator/document-translation/quickstarts/client-library-sdks.md
diff --git a/articles/ai-services/translator/whats-new.md b/articles/ai-services/translator/whats-new.md
diff --git a/articles/machine-learning/how-to-configure-network-isolation-with-v2.md b/articles/machine-learning/how-to-configure-network-isolation-with-v2.md
diff --git a/articles/machine-learning/how-to-kubernetes-inference-routing-azureml-fe.md b/articles/machine-learning/how-to-kubernetes-inference-routing-azureml-fe.md
diff --git a/articles/machine-learning/how-to-managed-network.md b/articles/machine-learning/how-to-managed-network.md
diff --git a/articles/search/cognitive-search-concept-intro.md b/articles/search/cognitive-search-concept-intro.md
diff --git a/articles/search/search-manage.md b/articles/search/search-manage.md
diff --git a/articles/search/search-sku-manage-costs.md b/articles/search/search-sku-manage-costs.md
