Merge branch 'main' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into azure-ai-foundry-agent-service-how-to

Author: ShawnJackson

articles/ai-foundry/agents/concepts/model-region-support.md

@@ -38,7 +38,7 @@ Projects are currently the unit of sharing and isolation in Foundry. See the [wh
 
 ### Prerequisites 
 
-* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
+* An Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 * Ensure that the individual creating the account and project has the **Azure AI Account Owner** role at the subscription scope
 * If configuring a [standard setup](#choose-your-setup), the same individual must also have permissions to assign roles to required resources (Cosmos DB, Azure AI Search, Azure Blob Storage). For more information on RBAC roles, specific to Azure AI Foundry Agent Service, see [Azure AI Foundry Agent Service RBAC roles](../concepts/rbac-azure-ai-foundry.md).
     * The built-in role needed is **Role Based Access Administrator**.

articles/ai-foundry/agents/environment-setup.md

@@ -50,7 +50,7 @@ If you want to continue using your hub-based project and connection string, you
 > * Make sure your Azure OpenAI resource and Azure AI Foundry account and project are in the same region. 
 
 ## Prerequisites
-* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
+* An Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 * Ensure that the individual creating the account and project has the **Azure AI Account Owner** role at the subscription scope
 * If configuring a [standard setup](#choose-basic-or-standard-agent-setup), the same individual must also have permissions to assign roles to required resources (Cosmos DB, Search, Storage). For more information about RBAC in Azure AI Foundry, see [RBAC in Azure AI Foundry](../../../ai-foundry/concepts/rbac-azure-ai-foundry.md).
     * The built-in role needed is **Role Based Access Administrator**.

articles/ai-foundry/agents/how-to/use-your-own-resources.md

@@ -46,7 +46,7 @@ For customers without an existing virtual network, the Standard Setup with Priva
 - **Private MCP Server**: using private MCP servers deployed in the same virtual network is not supported, only publicly accessible MCP servers are supported.
 
 ## Prerequisites
-* An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).
+* An Azure subscription - [Create one for free](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 * Ensure that the individual creating the account and project has the **Azure AI Account Owner** role at the subscription scope
 * The person deploying the template must also have permissions to assign roles to required resources (Cosmos DB, Search, Storage).
     * The built-in role needed is **Role Based Access Administrator**.

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

@@ -8,14 +8,31 @@ ms.author: aahi
 ms.service: azure-ai-foundry
 ms.subservice: azure-ai-foundry-agent-service
 ms.topic: overview
-ms.date: 08/07/2025
+ms.date: 10/08/2025
 ms.custom: azure-ai-agents
 ---
 
 # What's new in Azure AI Foundry Agent Service
 
 This article provides a summary of the latest releases and major documentation updates for Azure AI Foundry Agent Service.
 
+## October 2025
+
+### Additional model support
+
+The Agent Service supports the following [models](./concepts/model-region-support.md):
+* gpt-5
+* gpt-5-mini
+* gpt-5-nano
+* gpt-5-chat
+
+
+## September 2025
+
+### Computer Use tool
+
+The [Computer Use](./how-to/tools/computer-use.md) tool is now available in preview. Computer Use is a specialized AI tool that uses a specialized model that can perform tasks by interacting with computer systems and applications through their user interfaces.
+
 ## August 2025
 
 ### Java SDK Availability

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

@@ -6,7 +6,7 @@ reviewer: deeikele
 ms.reviewer: deeikele
 author: sdgilley
 ms.author: sgilley
-ms.date: 07/22/2025
+ms.date: 10/09/2025
 ms.service: azure-ai-foundry
 ms.topic: concept-article
 ms.custom:

articles/ai-foundry/concepts/resource-types.md

@@ -22,7 +22,7 @@ When using models from Azure AI Foundry (formerly known Azure AI Services) and A
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/) before you begin.
+- An Azure subscription. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn) before you begin.
 - Permissions to create and assign policies. To create and assign policies, you must be an [Owner](/azure/role-based-access-control/built-in-roles#owner) or [Resource Policy Contributor](/azure/role-based-access-control/built-in-roles#resource-policy-contributor) at the Azure subscription or resource group level.
 - Familiarity with Azure Policy. To learn more, see [What is Azure Policy?](/azure/governance/policy/overview).
 

articles/ai-foundry/foundry-models/how-to/configure-deployment-policies.md

@@ -22,7 +22,7 @@ You can run these models through the BFL service provider API and through the [i
 | Model  | Type & API endpoint| Capabilities | Deployment type (region availability) | Project type | 
 | ------ | ------------------ | ------------ | ------------------------------------- | ------------ |
 | [FLUX.1-Kontext-pro](https://ai.azure.com/explore/models/FLUX.1-Kontext-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | **Image generation** <br> - [Image API](../../openai/reference-preview.md): `https://<resource-name>/openai/deployments/{deployment-id}/images/generations` <br> and <br> `https://<resource-name>/openai/deployments/{deployment-id}/images/edits` <br> <br> - [BFL service provider API](https://docs.bfl.ai/kontext/kontext_text_to_image): ` <resource-name>/providers/blackforestlabs/v1/flux-kontext-pro?api-version=preview `  | - **Input:** text and image (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats**: Image (PNG and JPG) <br /> - **Key features:** Character consistency, advanced editing <br /> - **Additional parameters:** *(In provider-specific API only)* `seed`, `aspect ratio`, `input_image`, `prompt_unsampling`, `safety_tolerance`, `output_format`, `webhook_url`, `webhook_secret`  |- Global standard (all regions) | Foundry, Hub-based |
-| [FLUX-1.1-pro](https://ai.azure.com/explore/models/FLUX-1.1-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | **Image generation** <br> - [Image API](../../openai/reference-preview.md): `https://<resource-name>/openai/deployments/{deployment-id}/images/generations` <br> <br> - [BFL service provider API](https://docs.bfl.ai/flux_models/flux_1_1_pro): ` <resource-name>/providers/blackforestlabs/v1/flux-pro-1.1?api-version=preview ` | - **Input:** text (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) <br /> - **Key features:** Fast inference speed, strong prompt adherence, competitive pricing, scalable generation <br /> - **Additional parameters:** *(In provider-specific API only)* `width`, `height`, `prompt_unsampling`, `seed`, `safety_tolerance`, `output_format`, `webhook_url`, `webhook_secret` | - Global standard (all regions) | Hub-based |
+| [FLUX-1.1-pro](https://ai.azure.com/explore/models/FLUX-1.1-pro/version/1/registry/azureml-blackforestlabs/?cid=learnDocs) | **Image generation** <br> - [Image API](../../openai/reference-preview.md): `https://<resource-name>/openai/deployments/{deployment-id}/images/generations` <br> <br> - [BFL service provider API](https://docs.bfl.ai/flux_models/flux_1_1_pro): ` <resource-name>/providers/blackforestlabs/v1/flux-pro-1.1?api-version=preview ` | - **Input:** text (5,000 tokens and 1 image)  <br /> - **Output:** One Image  <br />  - **Tool calling:** No <br /> - **Response formats:** Image (PNG and JPG) <br /> - **Key features:** Fast inference speed, strong prompt adherence, competitive pricing, scalable generation <br /> - **Additional parameters:** *(In provider-specific API only)* `width`, `height`, `prompt_unsampling`, `seed`, `safety_tolerance`, `output_format`, `webhook_url`, `webhook_secret` | - Global standard (all regions) | Foundry, Hub-based |
 
 
 See [this model collection in Azure AI Foundry portal](https://ai.azure.com/explore/models?&selectedCollection=black+forest+labs/?cid=learnDocs).

articles/ai-foundry/foundry-models/includes/models-azure-direct-others.md

@@ -109,7 +109,7 @@ Before you start, make sure you have these prerequisites:
 
 # [Python SDK](#tab/python)
 
-* An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version](https://azure.microsoft.com/free/).
+* An Azure subscription. If you don't have an Azure subscription, create a free account before you begin. Try the [free or paid version](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 
 * The __Microsoft.Network__ resource provider must be registered for your Azure subscription. This resource provider is used by the hub when creating private endpoints for the managed virtual network.
 

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

@@ -36,7 +36,7 @@ The template used in this article can be found at [https://github.com/Azure/azur
 
 ## Prerequisites
 
-- An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/free/).
+- An Azure subscription. If you don't have one, create a [free account](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 
 - A copy of the template files from the GitHub repo. To clone the GitHub repo to your local machine, you can use [Git](https://git-scm.com/). Use the following command to clone the quickstart repository to your local machine and navigate to the `aifoundry-basics` directory.