Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into foundry-move

Author: aahill

articles/ai-foundry/agents/how-to/virtual-networks.md

@@ -78,7 +78,10 @@ For customers without an existing virtual network, the Standard Setup with Priva
 * A Microsoft-managed key vault is used by default. 
 
 
-### Option 1: manually deploy the bicep template
+### Manually deploy the bicep template
+
+> [!NOTE]
+> Using the Bicep template is the only way to deploy a network secured environment for Azure AI Foundry Agent Service.
 
 1. To deploy and customize the bicep templates, [download the template from GitHub](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup/15-private-network-standard-agent-setup). Download the following from the `private-network-standard-agent-setup` folder:
     1. `main-create.bicep`

articles/ai-foundry/agents/media/tools/action-tools-list.png

@@ -37,7 +37,7 @@ Hubs group one or more projects together with common settings including data acc
 
 ## Create a hub-based project
 
-To start developing, [create a project](../how-to/create-projects.md). Hub-projects can be accessed in [AI Foundry Portal](https://ai.azure.com/?cid=learnDocs) to build with generative AI tools, and [ML Studio](https://ml.azure.com) to build with tools designed for custom machine learning model training.
+To start developing, [create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/create-projects.md?pivots=hub-project). Hub-projects can be accessed in [AI Foundry Portal](https://ai.azure.com/?cid=learnDocs) to build with generative AI tools, and [ML Studio](https://ml.azure.com) to build with tools designed for custom machine learning model training.
 
 ## Project concepts
 
@@ -89,6 +89,7 @@ If not provided by you, the following dependent resources are automatically crea
 
 ## Next steps
 
+- [Create a [!INCLUDE [hub-project-name](../includes/hub-project-name.md)]](../how-to/create-projects.md?pivots=hub-project)
 - [Quickstart: Analyze images and video in the chat playground](/azure/ai-services/openai/gpt-v-quickstart)
 - [Learn more about Azure AI Foundry](../what-is-azure-ai-foundry.md)
 - [Learn more about projects](../how-to/create-projects.md?pivots=hub-project)

articles/ai-foundry/concepts/ai-resources.md

@@ -832,7 +832,7 @@ Private endpoints are currently supported for the following Azure services:
 * Azure AI Search
 * Azure AI services
 * Azure API Management
-    * Supporting only Classic tier without VNET injection and Standard V2 tier with virtual network integration. For more on API Management virtual networks, see [Virtual Network Concepts](https://learn.microsoft.com/azure/api-management/virtual-network-concepts)    
+    * Supporting only Classic tier without VNET injection and Standard V2 tier with virtual network integration. For more on API Management virtual networks, see [Virtual Network Concepts](/azure/api-management/virtual-network-concepts)    
 * Azure Container Registry
 * Azure Cosmos DB (all sub resource types)
 * Azure Data Factory
@@ -848,7 +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))
+* Application Insights (Through [PrivateLinkScopes](/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).

articles/ai-foundry/how-to/configure-managed-network.md

@@ -6,7 +6,7 @@ author: sdgilley
 ms.author: sgilley
 manager: scottpolly
 ms.reviewer: sgilley
-ms.date: 05/12/2025
+ms.date: 06/12/2025
 ms.service: azure-ai-foundry
 ms.topic: overview
 ms.custom:
@@ -58,14 +58,16 @@ This table summarizes features available in the two project types:
 | Capability | [!INCLUDE [fdp](includes/fdp-project-name.md)] | [!INCLUDE[hub](includes/hub-project-name.md)] |
 | --- | --- | --- |
 | Agents | ✅ (GA) | ✅ (Preview only) |
-| Azure AI Foundry Models including Azure OpenAI models | ✅ (Native support) | Available via connections |
 | AI Foundry API to work with agents and across models| ✅ (Native support) | Available via connections |
-| Project files (directly upload files and start experimenting) | ✅ | |
-| Project-level isolation of files and outputs | ✅ | ✅|
+| Models sold directly by Azure - Azure OpenAI, DeepSeek, xAI, etc. | ✅ | Available via connections |
+| Partner & Community Models sold through Marketplace - Stability, Bria, Cohere, etc. | ✅ | Available via connections |
+| Open source models e.g. HuggingFace  |  | ✅ |
 | Evaluations | ✅ | ✅ |
 | Playground | ✅ | ✅ |
 | Prompt flow |  | ✅ |
-| Managed compute  |  | ✅ |
+| Content understanding  |  | ✅ |
+| Project files (directly upload files and start experimenting) | ✅ | |
+| Project-level isolation of files and outputs | ✅ | ✅|
 | Required Azure dependencies | - | Azure Storage account, Azure Key Vault |
 
 ### <a name="how-do-i-know"></a> How do I know which type of project I have?

articles/ai-foundry/what-is-azure-ai-foundry.md

@@ -36,6 +36,10 @@ The host should allowlist **port 443** and the following domains:
 * `*.cognitive.microsoft.com`
 * `*.cognitiveservices.azure.com`
 
+If you are using the Azure AI Translator on-premise, you need to additionally allow the following URLs to download files
+
+* `translatoronprem.blob.core.windows.net`
+
 #### Disable deep packet inspection
 
 [Deep packet inspection (DPI)](https://en.wikipedia.org/wiki/Deep_packet_inspection) is a type of data processing that inspects in detail the data sent over a computer network, and usually takes action by blocking, rerouting, or logging it accordingly.

articles/ai-services/containers/includes/cognitive-services-container-security.md

@@ -24,7 +24,7 @@ keywords:
 
 ## Create a new Azure AI Foundry resource
 
-AI Foundry portal provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may have to use Azure portal or [template options](../../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
+[Azure AI Foundry portal](https://ai.azure.com/?cid=learnDocs) provides a way to create a new Azure resource with basic,  defaulted, settings. If your organization requires customized Azure configurations like alternative names, security controls or cost tags, you may need to instead use [Azure portal](https://portal.azure.com) or [template options](../../../ai-foundry/how-to/create-resource-template.md) to comply with your organization's Azure Policy compliance.
 
 The Azure AI Foundry multi-service resource is listed under **AI Foundry** > **AI Foundry** in the portal. The API kind is **AIServices**. Look for the logo as shown here:
 

articles/ai-services/includes/quickstarts/management-azportal.md

@@ -221,4 +221,4 @@ Logging:Console:LogLevel:Default=Debug
 - Rule names must begin with "CE_"  
 - Rule names must be unique. 
 - Rule names may only use alphanumeric characters and underscores ("_")
-- Regex patterns follow the .NET regular Expressions format. See [our documentation on .NET regular expressions](https://learn.microsoft.com/dotnet/standard/base-types/regular-expressions) for more information. 
+- Regex patterns follow the .NET regular Expressions format. See [our documentation on .NET regular expressions](/dotnet/standard/base-types/regular-expressions) for more information. 

articles/ai-services/language-service/personally-identifiable-information/how-to/adapt-to-domain-pii.md

@@ -9,7 +9,7 @@ ms.date: 06/12/2025
 ms.author: mbullwin
 ---
 
-[Reference documentation](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor) | [Library source code](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/README.md) | [Package (PiPy)](https://pypi.org/project/azure-ai-metricsadvisor/) | [Samples](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/README.md)
+[Reference documentation](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/metricsadvisor/azure-ai-metricsadvisor) | [Library source code](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/README.md) | [Package (PiPy)](https://pypi.org/project/azure-ai-metricsadvisor/) | [Samples](https://github.com/Azure/azure-sdk-for-python/blob/azure-ai-metricsadvisor_1.0.1/sdk/metricsadvisor/azure-ai-metricsadvisor/samples/README.md)
 
 > [!IMPORTANT]
 > Microsoft recommends that you use the most secure authentication flow available. Some of the authentication flows described in this article require a very high degree of trust in the application, and carries risks that are not present in other more secure flows. You should only use this flow when other more secure flows, such as managed identities, aren't viable.
@@ -22,7 +22,7 @@ ms.author: mbullwin
 * Your own SQL database with time series data.
 
 > [!TIP]
-> * You can find Python Metrics Advisor samples on [GitHub](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/metricsadvisor/azure-ai-metricsadvisor/samples).
+> * You can find Python Metrics Advisor samples on [GitHub](https://github.com/Azure/azure-sdk-for-python/tree/azure-ai-metricsadvisor_1.0.1/sdk/metricsadvisor/azure-ai-metricsadvisor/samples).
 > * It may take 10 to 30 minutes for your Metrics Advisor resource to deploy a service instance for you to use. Select **Go to resource** once it successfully deploys. After deployment, you can start using your Metrics Advisor instance with both the web portal and REST API.
 > * You can find the URL for the REST API in Azure portal, in the **Overview** section of your resource. It will look like this:
 > * `https://<instance-name>.cognitiveservices.azure.com/`

articles/ai-services/metrics-advisor/includes/quickstarts/python.md

@@ -34,7 +34,7 @@ If you want to learn about the latest updates to Metrics Advisor client SDKs see
 
 * [.NET SDK change log](https://github.com/Azure/azure-sdk-for-net/blob/master/sdk/metricsadvisor/Azure.AI.MetricsAdvisor/CHANGELOG.md)
 * [Java SDK change log](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md)
-* [Python SDK change log](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md)
+* [Python SDK change log](https://github.com/Azure/azure-sdk-for-python/blob/azure-ai-metricsadvisor_1.0.1/sdk/metricsadvisor/azure-ai-metricsadvisor/CHANGELOG.md)
 * [JavaScript SDK change log](https://github.com/Azure/azure-sdk-for-js/blob/master/sdk/metricsadvisor/ai-metrics-advisor/CHANGELOG.md)
 
 ## June 2021