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use the new folder for AI foundry docs
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articles/ai-services/.openpublishing.redirection.ai-services.json

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{
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"source_path_from_root": "/articles/ai-services/plan-manage-costs.md",
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"redirect_url": "/azure/ai-foundry/how-to/costs-plan-manage",
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"redirect_document_id": true
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"redirect_document_id": false
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},
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{
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"source_path_from_root": "/articles/ai-services/cognitive-services-and-machine-learning.md",

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

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4. Additionally, to deploy the template, you need to have the preset [Role Based Access Administrator](/azure/role-based-access-control/built-in-roles/privileged#role-based-access-control-administrator) role at the subscription level.
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* The **Owner** role at the subscription level satisfies this requirement.
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* The specific admin role that is needed is `Microsoft.Authorization/roleAssignments/write`
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5. Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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5. Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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5. Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.

articles/ai-services/agents/includes/quickstart-csharp.md

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* Additionally, to deploy the template, you need to have the preset **Role Based Access Administrator** role at the subscription level.
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* The **Owner** role at the subscription level satisfies this requirement.
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* The specific admin role that is needed is `Microsoft.Authorization/roleAssignments/write`
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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* Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.

articles/ai-services/agents/includes/quickstart-javascript.md

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* Additionally, to deploy the template, you need to have the preset **Role Based Access Administrator** role at the subscription level.
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* The **Owner** role at the subscription level satisfies this requirement.
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* The specific admin role that is needed is `Microsoft.Authorization/roleAssignments/write`
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* Ensure that each team member who wants to use the Agent Playground or Agent SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or Agent SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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* Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.

articles/ai-services/agents/includes/quickstart-python-openai.md

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* Additionally, to deploy the template, you need to have the preset **Role Based Access Administrator** role at the subscription level.
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* The **Owner** role at the subscription level satisfies this requirement.
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* The specific admin role that is needed is `Microsoft.Authorization/roleAssignments/write`
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* Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) assigned at the appropriate level.
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* Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) assigned at the appropriate level.
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* You need the **Cognitive Services OpenAI User** role assigned to use the Azure AI Services resource.
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* Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.
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articles/ai-services/agents/includes/quickstart-python.md

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* Additionally, to deploy the template, you need to have the preset **Role Based Access Administrator** role at the subscription level.
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* The **Owner** role at the subscription level satisfies this requirement.
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* The specific admin role that is needed is `Microsoft.Authorization/roleAssignments/write`
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: `agents/*/read`, `agents/*/action`, `agents/*/delete`
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* Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.

articles/ai-services/agents/includes/quickstart-rest.md

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## Prerequisites
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* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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* Ensure that each team member who wants to use the Agent Playground or Agent SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or Agent SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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* You need the **Cognitive Services OpenAI User** role assigned to use the Azure AI Services resource.

articles/ai-services/agents/includes/quickstart-typescript.md

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* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
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* [Node.js LTS](https://nodejs.org/)
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* [TypeScript 5.x](https://www.typescriptlang.org/)
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) for the project.
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* Ensure that each team member who wants to use the Agent Playground or SDK to create or edit agents has been assigned the built-in **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) for the project.
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* Note: assign these roles after the template has been deployed
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* The minimum set of permissions required is: **agents/*/read**, **agents/*/action**, **agents/*/delete**
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* Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-studio.md) assigned at the appropriate level.
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* Make sure you have the **Azure AI Developer** [RBAC role](../../../ai-foundry/concepts/rbac-ai-foundry.md) assigned at the appropriate level.
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* Install [the Azure CLI and the machine learning extension](/azure/machine-learning/how-to-configure-cli). If you have the CLI already installed, make sure it's updated to the latest version.
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[!INCLUDE [bicep-setup](bicep-setup.md)]

articles/ai-services/agents/overview.md

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## Why use Azure AI Agent Service?
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When compared to developing with the [Inference API](/azure/ai-foundry/reference/reference-model-inference-api) directly, Azure AI Agent Service provides a more streamlined and secure way to build and deploy AI agents. This includes:
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When compared to developing with the [Model Inference API](/rest/api/aifoundry/modelinference) directly, Azure AI Agent Service provides a more streamlined and secure way to build and deploy AI agents. This includes:
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- **Automatic tool calling** – no need to parse a tool call, invoke the tool, and handle the response; all of this is now done server-side
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- **Securely managed data** – instead of managing your own conversation state, you can rely on threads to store all the information you need
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- **Out-of-the-box tools** – In addition to the file retrieval and code interpreter tools provided by Azure OpenAI Assistants, Azure AI Agent Service also comes with a set of tools that you can use to interact with your data sources, such as Bing, Azure AI Search, and Azure Functions.

articles/ai-services/content-understanding/quickstart/use-ai-foundry.md

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* If your role is **Contributor** or **Owner**, you can proceed with creating your own hub.
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* If your role is **Azure AI Developer**, the hub must already be created before you can complete this quickstart. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../../../ai-foundry/concepts/ai-resources.md) and [Azure AI roles](../../../ai-foundry/concepts/rbac-ai-studio.md).
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* If your role is **Azure AI Developer**, the hub must already be created before you can complete this quickstart. Your user role must be **Azure AI Developer**, **Contributor**, or **Owner** on the hub. For more information, see [hubs](../../../ai-foundry/concepts/ai-resources.md) and [Azure AI roles](../../../ai-foundry/concepts/rbac-ai-foundry.md).
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> [!IMPORTANT]
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> If your organization requires you to customize the security of storage resources, the AI Foundry doesn't currently expose all the features that can be configured. Refer to [Azure AI services API access keys](../../../ai-foundry/concepts/encryption-keys-portal.md) to create resources that meet your organizations requirements through the Azure portal. Policy enforced in Azure on the hub scope applies to all projects managed under it. To learn how to utilize customer managed keys, refer to [(Preview) Service-side storage of encrypted data when using customer-managed keys](../../../ai-foundry/concepts/encryption-keys-portal.md#preview-service-side-storage-of-encrypted-data-when-using-customer-managed-keys). Return here when you have resources created.

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