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Copy file name to clipboardExpand all lines: docs/CustomizingAzdParameters.md
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|`AZURE_LOCATION`| string |`<User selects during deployment>`| Location of the Azure resources. Controls where the infrastructure will be deployed. |
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|`AZURE_ENV_AI_SERVICE_LOCATION`| string |`<User selects during deployment>`| Location of the Azure resources. Controls where the Azure AI Services will be deployed. |
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|`AZURE_ENV_MODEL_DEPLOYMENT_TYPE`| string |`GlobalStandard`| Change the Model Deployment Type (allowed values: Standard, GlobalStandard). |
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|`AZURE_ENV_GPT_MODEL_NAME`| string |`gpt-4o`| Set the Model Name (allowed values: gpt-4o). |
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|`AZURE_ENV_GPT_MODEL_VERSION`| string |`2024-11-20`| Set the Azure model version (allowed values: 2024-11-20) |
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|`AZURE_ENV_GPT_MODEL_NAME`| string |`gpt-5.1`| Set the Model Name (allowed values: gpt-5.1). |
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|`AZURE_ENV_GPT_MODEL_VERSION`| string |`2025-11-13`| Set the Azure model version (allowed values: 2025-11-13) |
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|`AZURE_ENV_GPT_MODEL_CAPACITY`| integer |`150`| Set the Model Capacity (choose a number based on available GPT model capacity in your subscription). |
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|`AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID`| string | Guide to get your [Existing Workspace ID](re-use-log-analytics.md)| Set this if you want to reuse an existing Log Analytics Workspace instead of creating a new one. |
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|`AZURE_ENV_IMAGE_TAG`| string |`latest`|Set the Image tag Like (allowed values: latest, dev, hotfix)|
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|`AZURE_ENV_IMAGE_TAG`| string |`latest`|Tag applied to the backend/frontend images that are built remotely and pushed to the deployment's Azure Container Registry.|
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|`AZURE_ENV_VM_SIZE`| string |`Standard_D2s_v5`| Specifies the size of the Jumpbox Virtual Machine (e.g., `Standard_D2s_v5`, `Standard_D2s_v4`). Set a custom value if `enablePrivateNetworking` is `true`. |
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|`AZURE_ENV_JUMPBOX_ADMIN_USERNAME`| string |`JumpboxAdminUser`| Specifies the administrator username for the Jumpbox Virtual Machine. |
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|`AZURE_ENV_JUMPBOX_ADMIN_PASSWORD`| string |`JumpboxAdminP@ssw0rd1234!`| Specifies the administrator password for the Jumpbox Virtual Machine. |
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|`AZURE_ENV_COSMOS_SECONDARY_LOCATION`| string |*(not set by default)*| Specifies the secondary region for Cosmos DB. Required if `enableRedundancy` is `true`. |
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|`AZURE_EXISTING_AIPROJECT_RESOURCE_ID`| string |*(not set by default)*| Specifies the existing AI Foundry Project Resource ID if it needs to be reused. |
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|`AZURE_ENV_CONTAINER_REGISTRY_ENDPOINT`| string |*(not set by default)*| Specifies the Azure Container Registry endpoint to use for container images. |
Copy file name to clipboardExpand all lines: docs/DeploymentGuide.md
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```shell
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azd up
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```
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**During deployment, you'll be prompted for:**
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1. **Environment name** (e.g., "cmsaapp") - Must be 3-16 characters long, alphanumeric only
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2. **Azure subscription** selection
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3. **Azure region** - Select a region with available GPT model quota
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4. **Resource group** selection (create new or use existing)
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**Expected Duration:**6-9 minutes for default configuration
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**Expected Duration:**9-14 minutes for default configuration (includes remotely building and pushing the container images)
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**⚠️ Deployment Issues:** If you encounter errors or timeouts, try a different region as there may be capacity constraints. For detailed error solutions, see our [Troubleshooting Guide](./TroubleShootingSteps.md).
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### 4.3 Get Application URL
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## Step 5: Build and Push Container Images
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### 5.1 Run Image Build Script
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1. You can run the ACR build and push script from the project root. Use the appropriate commandfor your shell:
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- For Bash (Linux/macOS/WSL):
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```bash
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bash scripts/build_and_push_images.sh
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```
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- For PowerShell (Windows):
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```
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.\scripts\build_and_push_images.ps1
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```
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### 5.2 Get Application URL
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After successful deployment:
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1. Open [Azure Portal](https://portal.azure.com/)
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2. Navigate to your resource group
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3. Find the Container App with "frontend"in the name
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4. Copy the **Application URI**
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⚠️ **Important:** Complete [Post-Deployment Steps](#step-5-post-deployment-configuration) before accessing the application.
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⚠️ **Important:** Complete Step 5.1 and Step 6.1 before accessing the application.
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## Step 5: Post-Deployment Configuration
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## Step 6: Post-Deployment Configuration
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### 5.1 Configure Authentication (Required)
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### 6.1 Configure Authentication (Required)
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**This step is mandatory for application access:**
@description('Optional. Image tag applied to the backend/frontend images that are built remotely and pushed to the deployment\'s Azure Container Registry by the post-provision script. Defaults to latest.')
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paramimageTagstring = 'latest'
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@minLength(1)
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@description('Optional. Version of the GPT model to deploy. Defaults to 2024-11-20.')
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paramgptModelVersionstring = '2024-11-20'
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@description('Optional. Version of the GPT model to deploy. Defaults to 2025-11-13.')
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paramgptModelVersionstring = '2025-11-13'
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@description('Optional. Use this parameter to use an existing AI project resource ID. Defaults to empty string.')
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