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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 Default Value Purpose
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_OPENAI_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_MODEL_NAME string gpt-4.1-mini Specifies the name of the GPT model to be deployed.
AZURE_ENV_MODEL_VERSION string 2025-04-14 Version of the GPT model to be used for deployment.
AZURE_ENV_MODEL_CAPACITY int 50 Sets the GPT model capacity.
AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE string GlobalStandard Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).
AZURE_ENV_MODEL_4_1_NAME string gpt-4.1 Specifies the name of the GPT model to be deployed.
AZURE_ENV_MODEL_4_1_VERSION string 2025-04-14 Version of the GPT model to be used for deployment.
AZURE_ENV_MODEL_4_1_CAPACITY int 150 Sets the GPT model capacity.
AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE string GlobalStandard Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).
AZURE_ENV_REASONING_MODEL_NAME string o4-mini Specifies the name of the reasoning GPT model to be deployed.
AZURE_ENV_REASONING_MODEL_VERSION string 2025-04-16 Version of the reasoning GPT model to be used for deployment.
AZURE_ENV_REASONING_MODEL_CAPACITY int 50 Sets the reasoning GPT model capacity.
AZURE_ENV_IMAGETAG string latest_v3 Docker image tag used for container deployments.
AZURE_ENV_ENABLE_TELEMETRY bool true Enables telemetry for monitoring and diagnostics.
AZURE_EXISTING_AI_PROJECT_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_LOG_ANALYTICS_WORKSPACE_ID 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_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_LOG_ANALYTICS_WORKSPACE_ID '/subscriptions/<subscription-id>/resourceGroups/<resource-group>/providers/Microsoft.OperationalInsights/workspaces/<workspace-name>'

Example:

azd env set AZURE_LOCATION westus2