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Copy file name to clipboardExpand all lines: articles/ai-foundry/agents/includes/quickstart-foundry.md
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## Prerequisites
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- An Azure subscription - <ahref="https://azure.microsoft.com/free/cognitive-services"target="_blank">Create one for free</a>.
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- Ensure that the individual creating the account and project has the **Azure AI Account Owner** role at the subscription scope
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* Alternatively, having the **Contributor** or **Cognitive Services Contributor** role at the subscription level also satisfies this requirement.
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- Ensure that the individual creating the account and project has the **Azure AI Account Owner** role at the subscription scope, which will grant the necessary permissions for creating the project
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* Alternatively, having the **Contributor** or **Cognitive Services Contributor** role at the subscription level will allow the creation of the project
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- Once the project is created, ensure that the individual creating the agent within the project has the **Azure AI User** role at the project level
Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/azure-policy.md
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description: Learn how to use Azure Policy with Azure AI Foundry to make sure your hubs and projects are compliant with your requirements.
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ms.author: jburchel
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author: jonburchel
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ms.date: 05/01/2025
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ms.date: 07/31/2025
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ms.service: azure-ai-foundry
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ms.topic: how-to
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ms.reviewer: aashishb
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reviewer: aashishb_microsoft
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# Customer Intent: As an admin, I want to understand how I can use Azure Policy to audit and govern Azure AI Foundry Services so that I can ensure compliance with my organization's requirements.
Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/built-in-policy-model-deployment.md
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author: jonburchel
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ms.service: azure-ai-foundry
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ms.topic: how-to #Don't change
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ms.date: 05/05/2025
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ms.date: 07/31/2025
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ms.reviewer: aashishb
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reviewer: aashishb_microsoft
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#customer intent: As an admin, I want control what Managed AI Services (serverless API deployment) and Model-as-a-Platform (MaaP) AI models can be deployed by my developers.
Copy file name to clipboardExpand all lines: articles/ai-foundry/how-to/configure-private-link.md
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title: How to configure a private link for an Azure AI Foundry hub
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titleSuffix: Azure AI Foundry
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description: Learn how to configure a private link for Azure AI Foundry hubs. A private link is used to secure communication with the Azure AI Foundry hub.
You are charged for the storage used by your data. To help estimate the cost, you can use the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/). The data is stored in a container called `workspaceblobstore` in your project's Azure Storage account.
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|Type |**Canonical Scenarios**|
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|---------|---------|
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|**`file`**<br>Reference a single file | Read a single file on Azure Storage (the file can have any format). |
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|**`folder`**<br> Reference a folder | Read a folder of parquet/CSV files into Pandas/Spark.<br><br>Read unstructured data (for example: images, text, or audio) located in a folder. |
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|**`folder`**<br>Reference a folder | Read a folder of parquet/CSV files into Pandas/Spark.<br><br>Read unstructured data (for example: images, text, or audio) located in a folder. |
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|**`table`**<br>Reference a table | Read a table on Azure Storage. |
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Azure AI Foundry shows the supported source paths. You can create a data from a folder or file:
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- If you select **folder type**, you can choose the folder URL format. Azure AI Foundry shows the supported folder URL formats. You can create a data resource as shown:
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- If you select **Folder** for the data source **Type**, you can choose the folder URL format. Azure AI Foundry shows the supported folder URL formats. You can create a data resource as shown:
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:::image type="content" source="../media/data-add/studio-url-folder.png" alt-text="Screenshot of folder URL format.":::
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- If you select **file type**, you can choose the file URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
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- If you select **File** for the data source **Type**, you can choose the file URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
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:::image type="content" source="../media/data-add/studio-url-file.png" alt-text="Screenshot of file URL format.":::
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### Create data: File type
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- If you select **Table** for the data source **Type**, you can choose the table URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
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:::image type="content" source="../media/data-add/studio-url-table.png" alt-text="Screenshot of table URL format.":::
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A file (`uri_file`) data resource type points to a *single file* on storage (for example, a CSV file).
These steps explain how to create a File typed data resource in the Azure AI Foundry portal:
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1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
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You can upload files or folders directly to your workspace storage account by selecting **Upload files/folders** in the **Data source** field as shown:
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1. Select the project where you want to create the data.
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1. From the collapsible **My assets** menu on the left, select **Data + indexes**, then select **New data** as shown in this screenshot:
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:::image type="content" source="../media/data-add/add-data.png" alt-text="Screenshot highlighting New Data in the Data tab.":::
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:::image type="content" source="../media/data-add/upload-file-folder.png" alt-text="This screenshot shows how to upload a file.":::
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1. Choose your **Data source**. To choose a data source, you have two options.
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- You can select **Get data with storage URL** if you have a direct URL to a storage account or a public accessible HTTPS server.
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- You can select **Upload files/folders** to upload a folder from your local drive.
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When you upload files or folders, they are uploaded to the default `workspaceblobstore` connection. The files and folders are uploaded to the root of the storage container.
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-**Get data with Storage URL**: You can choose the "File" as the **Type**, and then provide a URL based on the supported URL formats listed on that page, as shown in this screenshot:
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:::image type="content" source="../media/data-add/file-url.png" alt-text="This screenshot shows the provisioning of a URL that points to a file.":::
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### Add file, folder, and table data from Azure Storage
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-**Upload files/folders**: You can select **Upload files/folders**, select **Upload files**, and choose the local file to upload. The file uploads into the default "workspaceblobstore" connection.
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:::image type="content" source="../media/data-add/upload-file.png" alt-text="This screenshot shows how to upload a file.":::
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You can add file, folder, and table data from Azure Storage to your Azure AI Foundry workspace.
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1. Select **Next** after you choose the data source.
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A file (`uri_file`) data resource type points to a *single file* on storage (for example, a CSV file).
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1. Enter a custom name for your data, and then select **Create**.
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A Folder (`uri_folder`) data source type points to a *folder* on a storage resource (for example, a folder containing several subfolders of images).
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:::image type="content" source="../media/data-add/data-add-finish.png" alt-text="This screenshot shows the naming step for the data source." lightbox="../media/data-connections/data-add-finish.png":::
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A Table (`uri_table`) data source type points to a *table* on a storage resource (for example, a folder that contains tabular data).
A Folder (`uri_folder`) data source type points to a *folder* on a storage resource (for example, a folder containing several subfolders of images). Use these steps to create a Folder type data resource in Azure AI Foundry portal:
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These steps explain how to add an existing file, folder, or table data resource from Azure Storage to your hub based project workspace in the Azure AI Foundry portal:
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1. Navigate to [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs)
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1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
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1. Select the project where you want to create the data.
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1. Select the hub based project where you want to add the data.
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1. From the collapsible **Components** menu on the left, select **Data**.
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1. From the collapsible **My assets** menu on the left, select **Data + indexes**, then select **New data** as shown in this screenshot:
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:::image type="content" source="../media/data-add/add-data.png" alt-text="Screenshot highlighting New Data in the Data tab.":::
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1. Choose your **Data source**. To choose a data source, you have two options.
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1. Select **Get data with Storage URL** if you have a direct URL to a storage account or a public accessible HTTPS server
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1. Select **Upload files/folders** to upload a folder from your local drive
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-**Get data with Storage URL**: You can choose the **Type** as "Folder", and provide a URL based on the supported URL formats listed on that page.
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:::image type="content" source="../media/data-add/folder-url.png" alt-text="This screenshot shows the step to provide a URL that points to a folder.":::
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-**Upload files/folders**: You can select **Upload files/folders**, select **Upload folder**, and choose the local file to upload. The file resources upload into the default "workspaceblobstore" connection.
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:::image type="content" source="../media/data-add/upload-folder.png" alt-text="This screenshot shows how to upload a folder.":::
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1. Select **Get data with storage URL** as your **Data source**.
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1. Then choose the *File*, *Folder*, or *Table* as the data **Type**, and then provide a URL based on the supported URL formats listed on that page.
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1. Select **Next** after you choose the data source.
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1. Enter a custom name for your data, and then select **Create**.
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:::image type="content" source="../media/data-connections/data-add-finish.png" alt-text="Screenshot of naming the data." lightbox="../media/data-connections/data-add-finish.png":::
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:::image type="content" source="../media/data-add/data-add-finish.png" alt-text="This screenshot shows the naming step for the data source." lightbox="../media/data-connections/data-add-finish.png":::
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## Manage data
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After you add data to your hub based project, you can you can delete, archive, restore, tag, archive, and preview the data in the Azure AI Foundry.
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### Delete data
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> [!IMPORTANT]
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|The **name** is incorrect |[Archive the data](#archive-data)|
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|The team **no longer uses** the data |[Archive the data](#archive-data)|
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|It **clutters the data listing**|[Archive the data](#archive-data)|
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|The **path** is incorrect | Create a *new version* of the data (same name) with the correct path. For more information, visit [Create data](#create-data). |
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|It has an incorrect **type**| Currently, Azure AI doesn't allow the creation of a new version with a *different* type compared to the initial version.<br>(1) [Archive the data](#archive-data)<br>(2) [Create a new data](#create-data) under a different name with the correct type. |
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|The **path** is incorrect | Create a *new version* of the data (same name) with the correct path. For more information, visit [Add new data](#add-new-data). |
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|It has an incorrect **type**| Currently, Azure AI doesn't allow the creation of a new version with a *different* type compared to the initial version.<br>(1) [Archive the data](#archive-data)<br>(2) [Add new data](#add-new-data) under a different name with the correct type. |
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