Skip to content

Latest commit

 

History

History
39 lines (28 loc) · 3.58 KB

File metadata and controls

39 lines (28 loc) · 3.58 KB

[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