include file

Author: lgayhardt

articles/ai-foundry/how-to/develop/cloud-evaluation.md

@@ -28,11 +28,7 @@ In this article, you learn how to run evaluations in the cloud (preview) in pre-
 - Azure OpenAI Deployment with GPT model supporting `chat completion`. For example, `gpt-4`.
 - Make sure you're first logged into your Azure subscription by running `az login`.
 
-If this is your first time running evaluations and logging it to your Azure AI Foundry project, you might need to do a few additional steps:
-
-1. Create and connect your storage account to your Azure AI Foundry project at the resource level. There are two ways you can do this. You can [use a Bicep template](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep), which provisions and connects a storage account to your Foundry project with key authentication. You can also [manually create and provision access](../evaluations-storage-account.md) to your storage account in the Azure portal.
-1. Make sure the connected storage account has access to all projects.
-1. If you connected your storage account with Microsoft Entra ID, make sure to give managed identity **Storage Blob Data Owner** permissions to both your account and the Foundry project resource in the Azure portal.
+[!INCLUDE [evaluation-fdp-storage](../../includes/evaluation-fdp-storage.md)]
 
 ## Get started
 

articles/ai-foundry/how-to/develop/run-ai-red-teaming-cloud.md

@@ -23,11 +23,7 @@ Though the AI Red Teaming Agent (preview) can be run [locally](run-scans-ai-red-
 
 [!INCLUDE [uses-fdp-only](../../includes/uses-fdp-only.md)]
 
-If this is your first time running evaluations or AI red teaming runs on your Azure AI Foundry project, you might need to do a few additional setup steps.
-
-1. [Create and connect your storage account](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep) to your Azure AI Foundry project at the resource level. This bicep template provisions and connects a storage account to your Foundry project with key authentication.
-2. Make sure the connected storage account has access to all projects.
-3. If you connected your storage account with Microsoft Entra ID, make sure to give MSI (Microsoft Identity) permissions for Storage Blob Data Owner to both your account and Foundry project resource in Azure portal.
+[!INCLUDE [evaluation-fdp-storage](../../includes/evaluation-fdp-storage.md)]
 
 ## Getting started
 

articles/ai-foundry/how-to/develop/run-scans-ai-red-teaming-agent.md

@@ -28,11 +28,7 @@ This article guides you through the process of
 
 - An Azure AI Foundry project or hubs based project. To learn more, see [Create a project](../create-projects.md).
 
-If this is your first time running evaluations or AI red teaming runs on your Azure AI Foundry project, you might need to do a few additional setup steps.
-
-1. [Create and connect your storage account](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep) to your Azure AI Foundry project at the resource level. This bicep template provisions and connects a storage account to your Foundry project with key authentication.
-2. Make sure the connected storage account has access to all projects.
-3. If you connected your storage account with Microsoft Entra ID, make sure to give MSI (Microsoft Identity) permissions for Storage Blob Data Owner to both your account and Foundry project resource in Azure portal.
+[!INCLUDE [evaluation-fdp-storage](../../includes/evaluation-fdp-storage.md)]
 
 ## Getting started
 

articles/ai-foundry/includes/evaluation-fdp-storage.md

@@ -0,0 +1,16 @@
+---
+title: Include file
+description: Include file
+author: lgayhardt
+ms.service: azure-ai-foundry
+ms.topic: include
+ms.date: 7/23/2025
+ms.author: lagayhar
+ms.custom: include file
+---
+
+If this is your first time running evaluations and logging it to your Azure AI Foundry project, you might need to do a few additional steps:
+
+1. Create and connect your storage account to your Azure AI Foundry project at the resource level. There are two ways you can do this. You can [use a Bicep template](https://github.com/azure-ai-foundry/foundry-samples/blob/main/samples/microsoft/infrastructure-setup/01-connections/connection-storage-account.bicep), which provisions and connects a storage account to your Foundry project with key authentication. You can also [manually create and provision access](../how-to/evaluations-storage-account.md) to your storage account in the Azure portal.
+1. Make sure the connected storage account has access to all projects.
+1. If you connected your storage account with Microsoft Entra ID, make sure to give managed identity **Storage Blob Data Owner** permissions to both your account and the Foundry project resource in the Azure portal.