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 3-20 characters alphanumeric unique name.

Parameters

Name	Type	Default Value	Purpose
AZURE_ENV_NAME	string	azdtemp	Used as a prefix for all resource names to ensure uniqueness across environments.
AZURE_ENV_COSMOS_LOCATION	string	Same as resource group location	Primary location for the Cosmos DB instance. When enabling redundancy, verify the region supports zone redundancy. Check supported regions.
AZURE_ENV_COSMOS_SECONDARY_LOCATION	string	canadacentral	Secondary failover location for Cosmos DB when enableRedundancy is true. Check supported regions.
AZURE_ENV_MODEL_DEPLOYMENT_TYPE	string	GlobalStandard	Change the Model Deployment Type (allowed values: Standard, GlobalStandard).
AZURE_ENV_MODEL_NAME	string	gpt-4o-mini	Set the GPT model name (allowed values: gpt-4o).
AZURE_ENV_MODEL_VERSION	string	2025-01-01-preview	Set the Azure OpenAI API version (allowed values: 2024-08-06).
AZURE_ENV_MODEL_CAPACITY	integer	30	Set the model capacity for GPT deployment. Choose based on your Azure quota and usage needs.
AZURE_ENV_EMBEDDING_MODEL_NAME	string	text-embedding-ada-002	Set the model name used for embeddings.
AZURE_ENV_EMBEDDING_MODEL_CAPACITY	integer	80	Set the capacity for embedding model deployment.
AZURE_ENV_IMAGETAG	string	latest_waf	Set the image tag (allowed values: latest_waf, dev, hotfix).
AZURE_LOCATION	string	<User selects during deployment>	Sets the Azure region for resource deployment.
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_EXISTING_AI_PROJECT_RESOURCE_ID	string	<Existing AI Foundry Project Resource Id>	Reuses an existing AI Foundry Project Resource Id instead of provisioning a new one.

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