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CustomizingAzdParameters.md

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CustomizingAzdParameters.md

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[Optional]: Customizing resource names

By default this template will use the environment name as the prefix to prevent naming collisions within Azure. The parameters below show the default values. You only need to run the statements below if you need to change the values.

To override any of the parameters, run azd env set <PARAMETER_NAME> <VALUE> before running azd up. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-20 characters alphanumeric unique name.

Parameters

Name Type Example Value Purpose
AZURE_ENV_NAME string cps Sets the environment name prefix for all Azure resources.
AZURE_LOCATION string eastus2 Sets the primary Azure region for resource deployment (allowed values: australiaeast, centralus, eastasia, eastus2, japaneast, northeurope, southeastasia, uksouth).
AZURE_ENV_AI_DEPLOYMENTS_LOCATION string eastus2 Sets the location for the Azure AI Services deployment (allowed values: australiaeast, eastus, eastus2, francecentral, japaneast, swedencentral, uksouth, westus, westus3).
AZURE_ENV_CU_LOCATION string WestUS Sets the location for the Azure Content Understanding service (allowed values: WestUS, SwedenCentral, AustraliaEast).
AZURE_ENV_MODEL_DEPLOYMENT_TYPE string GlobalStandard Defines the model deployment type (allowed values: Standard, GlobalStandard).
AZURE_ENV_MODEL_NAME string gpt-4o Specifies the GPT model name (allowed values: gpt-4o).
AZURE_ENV_MODEL_VERSION string 2024-08-06 Specifies the GPT model version (allowed values: 2024-08-06).
AZURE_ENV_MODEL_CAPACITY integer 30 Sets the model capacity (choose based on your subscription's available GPT capacity).
AZURE_ENV_CONTAINER_REGISTRY_ENDPOINT string cpscontainerreg.azurecr.io Sets the Azure Container Registry endpoint (allowed value: cpscontainerreg.azurecr.io).
AZURE_ENV_CONTAINER_IMAGE_TAG string latest Sets the container image tag (e.g., latest, dev, hotfix).
AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID string Guide to get your Existing Workspace ID Reuses an existing Log Analytics Workspace instead of provisioning a new one.
AZURE_ENV_FOUNDRY_PROJECT_ID string <Existing AI Project resource Id> Reuses an existing AI Foundry and AI Foundry Project instead of creating a new one.

WAF Deployment Parameters

The following parameters are only used when deploying with WAF-aligned configuration (main.waf.parameters.json):

Name Type Example Value Purpose
AZURE_ENV_VM_SIZE string Standard_DS2_v2 Sets the size of the Jumpbox Virtual Machine.
AZURE_ENV_VM_ADMIN_USERNAME string JumpboxAdminUser Sets the admin username for the Jumpbox Virtual Machine.
AZURE_ENV_VM_ADMIN_PASSWORD string (secure) Sets the admin password for the Jumpbox Virtual Machine.

How to Set a Parameter

To customize any of the above values, run the following command before azd up:

azd env set <PARAMETER_NAME> <VALUE>

Example:

azd env set AZURE_LOCATION westus2