CustomizingAzdParameters.md

[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 3-16 characters alphanumeric unique name.

Parameters

Name	Type	Default Value	Purpose
AZURE_ENV_DEPLOYMENT_FLAVOR	string	bicep	Used for different deployment flavor, accepted values bicep, avm, avm-waf
AZURE_ENV_NAME	string	macae	Used as a prefix for all resource names to ensure uniqueness across environments.
AZURE_LOCATION	string	<User selects during deployment>	Location of the Azure resources. Controls where the infrastructure will be deployed.
AZURE_ENV_AI_SERVICE_LOCATION	string	<User selects during deployment>	Specifies the region for OpenAI resource deployment.
AZURE_ENV_MODEL_DEPLOYMENT_TYPE	string	GlobalStandard	Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).
AZURE_ENV_GPT_MODEL_NAME	string	gpt-5.4-mini	Specifies the name of the GPT model to be deployed.
AZURE_ENV_GPT_MODEL_VERSION	string	2026-03-17	Version of the GPT model to be used for deployment.
AZURE_ENV_GPT_MODEL_CAPACITY	int	100	Sets the GPT model capacity.
AZURE_ENV_MODEL_5_4_DEPLOYMENT_TYPE	string	GlobalStandard	Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).
AZURE_ENV_MODEL_5_4_NAME	string	gpt-5.4	Specifies the name of the GPT model to be deployed.
AZURE_ENV_MODEL_5_4_VERSION	string	2026-03-05	Version of the GPT model to be used for deployment.
AZURE_ENV_MODEL_5_4_CAPACITY	int	150	Sets the GPT model capacity.
AZURE_ENV_ENABLE_TELEMETRY	bool	true	Enables telemetry for monitoring and diagnostics.
AZURE_EXISTING_AIPROJECT_RESOURCE_ID	string	<Existing Workspace Id>	Set this if you want to reuse an AI Foundry Project instead of creating a new one.
AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID	string	Guide to get your Existing Workspace ID	Set this if you want to reuse an existing Log Analytics Workspace instead of creating a new one.
AZURE_ENV_VM_ADMIN_USERNAME	string	take(newGuid(), 20)	The administrator username for the virtual machine.
AZURE_ENV_VM_ADMIN_PASSWORD	string	newGuid()	The administrator password for the virtual machine.
AZURE_ENV_VM_SIZE	string	Standard_D2s_v5	The size of the virtual machine deployed with private networking.
AZURE_ENV_CONTAINER_REGISTRY_ENDPOINT	string	<Container Registry Endpoint>	Sets container registry used by backend, frontend and Mcp containers.

---

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>

Set the Log Analytics Workspace Id if you need to reuse the existing workspace which is already existing

azd env set AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID '/subscriptions/<subscription-id>/resourceGroups/<resource-group>/providers/Microsoft.OperationalInsights/workspaces/<workspace-name>'

Example:

azd env set AZURE_LOCATION westus2