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articles/ai-foundry/azure-ai-foundry-status-dashboard-documentation.md

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# Azure AI Foundry status dashboard
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The Azure AI Foundry Status Dashboard provides visibility into the
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<!--
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The [Azure AI Foundry Status Dashboard](https://status.ai.azure.com/) provides visibility into the
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health and availability of key Foundry services. It's intended to help
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customers monitor service status, stay informed about ongoing incidents,
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and plan around scheduled maintenance windows.
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- [Azure AI Foundry documentation](/azure/ai-foundry/)
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- [Azure status history](https://status.azure.com/status)
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- [Azure Service Health](https://azure.microsoft.com/status/)
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-->

articles/ai-foundry/concepts/management-center.md

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description: "The management center in Azure AI Foundry portal provides a centralized hub for governance and management activities."
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ms.author: sgilley
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author: sdgilley
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ms.reviewer: aashishb
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ms.service: azure-ai-foundry
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ms.custom:
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- ignite-2024
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ms.topic: concept-article #Don't change.
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ms.date: 07/01/2025
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ms.date: 09/10/2025
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#customer intent: As an admin, I want a central location where I can perform governance and management activities.
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---
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- Quotas for models and virtual machines (VMs)
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> [!NOTE]
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> VM quotas are only available for [!INCLUDE [hub](../includes/hub-project-name.md)]s.
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> VMs and VM quotas are only available for [!INCLUDE [hub](../includes/hub-project-name.md)]s.
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- User management and role assignment
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To access the management center, sign in to [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs), select a project, and then select **Management center** from the bottom of left menu.
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To access the management center, sign in to [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs), select a project, then select **Management center** from the bottom of left menu. (You might have to scroll down to find it.)
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:::image type="content" source="../media/management-center/management-center.png" alt-text="Screenshot of the left menu of Azure AI Foundry with the management center selected." :::
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## Manage Foundry projects
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Use the management center to create and configure [!INCLUDE [FDP](../includes/fdp-project-name.md)]s. Use __All resources__ to view all [!INCLUDE [FDP](../includes/fdp-project-name.md)]s that you have access to, or to create new projects. Use the __Project__ section of the left menu to manage individual [!INCLUDE [FDP](../includes/fdp-project-name.md)].
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Use the management center to create and configure [!INCLUDE [FDP](../includes/fdp-project-name.md)]s. Use __All resources__ to view all [!INCLUDE [FDP](../includes/fdp-project-name.md)]s that you have access to, or to create new projects. Use the __Project__ section of the left menu to manage and create individual [!INCLUDE [FDP](../includes/fdp-project-name.md)] on the AI Foundry resource.
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:::image type="content" source="../media/management-center/project-management.png" alt-text="Screenshot of the all resources, hub, and project sections of the management studio selected." lightbox="../media/management-center/project-management.png":::
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articles/ai-foundry/concepts/model-lifecycle-retirement.md

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| Model | Legacy date (UTC) | Deprecation date (UTC) | Retirement date (UTC) | Suggested replacement model |
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|-------|-------------------|------------------------|-----------------------|-----------------------------|
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| [Command R](https://aka.ms/azureai/landing/Cohere-command-r) | February 24, 2025 | March 25, 2025 | June 30, 2025 | [Cohere Command R 08-2024](https://aka.ms/azureai/landing/Cohere-command-r-08-2024) |
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| [Command R+](https://aka.ms/azureai/landing/Cohere-command-r-plus) | February 24, 2025 | March 25, 2025 | June 30, 2025 | [Cohere Command R+ 08-2024](https://aka.ms/azureai/landing/Cohere-command-r-plus-08-2024) |
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| [Cohere-rerank-v3-english](https://ai.azure.com/explore/models/Cohere-rerank-v3-english/version/1/registry/azureml-cohere/?cid=learnDocs) | February 28, 2025 | March 31, 2025 | June 30, 2025 | [Cohere-rerank-v3.5](https://ai.azure.com/explore/models/Cohere-rerank-v3.5/version/1/registry/azureml-cohere/?cid=learnDocs) |
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| [Cohere-rerank-v3-multilingual](https://ai.azure.com/explore/models/Cohere-rerank-v3-multilingual/version/1/registry/azureml-cohere/?cid=learnDocs) | February 28, 2025 | March 31, 2025 | June 30, 2025 | [Cohere-rerank-v3.5](https://ai.azure.com/explore/models/Cohere-rerank-v3.5/version/1/registry/azureml-cohere/?cid=learnDocs) |
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| [Command R](https://ai.azure.com/explore/models/Cohere-command-r/version/1/registry/azureml-cohere?cid=learnDocs) | February 24, 2025 | March 25, 2025 | June 30, 2025 | [Cohere Command R 08-2024](https://aka.ms/azureai/landing/Cohere-command-r-08-2024?cid=learnDocs) |
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| [Command R+](https://ai.azure.com/explore/models/Cohere-command-r-plus/version/1/registry/azureml-cohere?cid=learnDocs) | February 24, 2025 | March 25, 2025 | June 30, 2025 | [Cohere Command R+ 08-2024](https://aka.ms/azureai/landing/Cohere-command-r-plus-08-2024?cid=learnDocs) |
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| [Cohere-rerank-v3-english](https://ai.azure.com/explore/models/Cohere-rerank-v3-english/version/1/registry/azureml-cohere) | February 28, 2025 | March 31, 2025 | June 30, 2025 | [Cohere-rerank-v3.5](https://ai.azure.com/explore/models/Cohere-rerank-v3.5/version/1/registry/azureml-cohere) |
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| [Cohere-rerank-v3-multilingual](https://ai.azure.com/explore/models/Cohere-rerank-v3-multilingual/version/1/registry/azureml-cohere) | February 28, 2025 | March 31, 2025 | June 30, 2025 | [Cohere-rerank-v3.5](https://ai.azure.com/explore/models/Cohere-rerank-v3.5/version/1/registry/azureml-cohere) |
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#### DeepSeek
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articles/ai-foundry/how-to/configure-private-link.md

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> [!IMPORTANT]
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> We don't recommend using the 172.17.0.0/16 IP address range for your VNet. This is the default subnet range used by the Docker bridge network on-premises.
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## Securely connect to your hub or project
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## Securely connect to Foundry
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To connect to a hub or project secured by a virtual network, use one of these methods:
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To connect to Foundry secured by a virtual network, use one of these methods:
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* [Azure VPN Gateway](/azure/vpn-gateway/vpn-gateway-about-vpngateways)-Connect on-premises networks to the virtual network over a private connection on the public internet. Choose from two VPN gateway types:
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- A network-secured Agent (bring your own virtual network) is only supported through Bicep template deployment. For more information on network-secured Agent deployment, see [How to use a virtual network with the Azure AI Agent Service](/azure/ai-services/agents/how-to/virtual-networks).
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- A network-secured Agent to be deployed is only a Standard Agent, not a Light Agent.
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- There's no managed virtual network support for the Agent Service or [!INCLUDE [FDP](../includes/fdp-project-name.md)].
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- Evaluations in AI Foundry are currently not supported with virtual network injection for egress.
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:::zone-end
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articles/ai-foundry/how-to/upgrade-azure-openai.md

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Your project overview page includes your previous Azure OpenAI endpoint, and a new Azure AI Foundry endpoint. Foundry API and SDK grant access to the broader set of models and features including agent service.
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## Understanding pricing
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There are no pricing differences for existing Azure OpenAI functionality when upgrading to Azure AI Foundry—your current usage patterns and costs remain unchanged. However, Azure AI Foundry unlocks access to additional features such as expanded model catalogs, agent services, and evaluation tools, which may have their own pricing structures depending on the models and services used.
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For estimating costs of new features available in Azure AI Foundry, use the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/).
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## Roll back to Azure OpenAI
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In case you run into any issues, a roll back option is available. As prerequisite to roll back, you're required to delete any of the following configurations first:

articles/ai-foundry/openai/concepts/model-router.md

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> The latest version of model router is currently limited access only. You can request access using the `gpt-5 access` form: [gpt-5 limited access model application](https://aka.ms/oai/gpt5access). If you already have `o3 access` no request is required.
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|:---:|:---|:----:|
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| `2025-08-07` | `gpt-4.1` </br>`gpt-4.1-mini` </br>`gpt-4.1-nano` </br>`o4-mini` </br> `gpt-5` <br> `gpt-5-mini` <br> `gpt-5-nano` <br> `gpt-5-chat` | `2025-04-14` <br> `2025-04-14` <br> `2025-04-14` <br> `2025-04-16` <br> `2025-08-07` <br> `2025-08-07` <br> `2025-08-07` <br> `2025-08-07` |

articles/ai-foundry/openai/includes/api-surface.md

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| API | Latest preview release | Latest GA release | Specifications | Description |
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| **Control plane** | [`2024-06-01-preview`](/rest/api/aiservices/accountmanagement/operation-groups?view=rest-aiservices-accountmanagement-2024-06-01-preview&preserve-view=true) | [`2024-10-01`](/rest/api/aiservices/accountmanagement/deployments/create-or-update?view=rest-aiservices-accountmanagement-2024-10-01&tabs=HTTP&preserve-view=true) | [Spec files](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/resource-manager/Microsoft.CognitiveServices) | Azure OpenAI shares a common control plane with all other services. The control plane API is used for things like [creating Azure OpenAI resources](/rest/api/aiservices/accountmanagement/accounts/create?view=rest-aiservices-accountmanagement-2023-05-01&tabs=HTTP&preserve-view=true), [model deployment](/rest/api/aiservices/accountmanagement/deployments/create-or-update?view=rest-aiservices-accountmanagement-2023-05-01&tabs=HTTP&preserve-view=true), and other higher level resource management tasks. The control plane also governs what is possible to do with capabilities like Azure Resource Manager, Bicep, Terraform, and Azure CLI.|
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| **Data plane - authoring** | [`2025-04-01-preview`](/azure/ai-foundry/openai/authoring-reference-preview) | `2024-10-21` | [Spec files](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/authoring) | The data plane authoring API controls [fine-tuning](/rest/api/azureopenai/fine-tuning?view=rest-azureopenai-2024-08-01-preview&preserve-view=true), [file-upload](/rest/api/azureopenai/files/upload?view=rest-azureopenai-2024-08-01-preview&tabs=HTTP&preserve-view=true), [ingestion jobs](/rest/api/azureopenai/ingestion-jobs/create?view=rest-azureopenai-2024-08-01-preview&tabs=HTTP&preserve-view=true), [batch](/rest/api/azureopenai/batch?view=rest-azureopenai-2024-08-01-preview&tabs=HTTP&preserve-view=true) and certain [model level queries](/rest/api/azureopenai/models/get?view=rest-azureopenai-2024-08-01-preview&tabs=HTTP&preserve-view=true)
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| **Data plane - inference** | [`2025-04-01-preview`](/azure/ai-foundry/openai/reference-preview#data-plane-inference) | [`2024-10-21`](/azure/ai-foundry/openai/reference#data-plane-inference) | [Spec files](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/cognitiveservices/data-plane/AzureOpenAI/inference) | The data plane inference API provides the inference capabilities/endpoints for features like completions, chat completions, embeddings, audio, on your data, Dall-e, assistants, etc. |
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| **Control plane** | `2025-07-01-preview` | [`2025-06-01`](/rest/api/aifoundry/accountmanagement/operation-groups?view=rest-aifoundry-accountmanagement-2025-06-01&preserve-view=true) | [Spec files](https://github.com/Azure/azure-rest-api-specs/blob/main/specification/cognitiveservices/resource-manager/Microsoft.CognitiveServices/stable/2025-06-01/cognitiveservices.json) | The control plane API is used for operations like [creating resources](/rest/api/aifoundry/accountmanagement/accounts/create?view=rest-aifoundry-accountmanagement-2025-06-01&tabs=HTTP&preserve-view=true), [model deployment](/rest/api/aifoundry/accountmanagement/deployments/create-or-update?view=rest-aifoundry-accountmanagement-2025-06-01&tabs=HTTP&preserve-view=true), and other higher level resource management tasks. The control plane also governs what is possible to do with capabilities like Azure Resource Manager, Bicep, Terraform, and Azure CLI.|
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| **Data plane** | [`v1 preview`](/azure/ai-foundry/openai/reference-preview-latest) | [`v1`](/azure/ai-foundry/openai/latest) | [Spec files](https://github.com/Azure/azure-rest-api-specs/tree/main/specification/ai/data-plane/OpenAI.v1) | The data plane API controls inference and authoring operations. |
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articles/ai-foundry/openai/includes/models-azure-direct-openai.md

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articles/ai-foundry/openai/whats-new.md

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- Model router for Azure AI Foundry is a deployable AI chat model that automatically selects the best underlying chat model to respond to a given prompt. For more information on how model router works and its advantages and limitations, see the [Model router concepts guide](./concepts/model-router.md). To use model router with the Completions API, follow the [How-to guide](./concepts/model-router.md).
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articles/ai-foundry/toc-files/sdk-api-reference/toc.yml

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- name: Evals (preview)
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- name: Fine-tuning
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- name: 2025-04-01-preview - Authoring
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