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|`AZURE_ENV_DEPLOYMENT_FLAVOR`| string |`bicep`| Used for different deployment flavor, accepted values `bicep`, `avm`, `avm-waf`|
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|`AZURE_ENV_NAME`| string |`macae`| Used as a prefix for all resource names to ensure uniqueness across environments. |
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|`AZURE_LOCATION`| string |`<User selects during deployment>`| Location of the Azure resources. Controls where the infrastructure will be deployed. |
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|`AZURE_ENV_AI_SERVICE_LOCATION`| string |`<User selects during deployment>`| Specifies the region for OpenAI resource deployment. |
@@ -18,8 +19,7 @@ By default this template will use the environment name as the prefix to prevent
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|`AZURE_ENV_MODEL_5_4_DEPLOYMENT_TYPE`| string |`GlobalStandard`| Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). |
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|`AZURE_ENV_MODEL_5_4_NAME`| string |`gpt-5.4`| Specifies the name of the GPT model to be deployed. |
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|`AZURE_ENV_MODEL_5_4_VERSION`| string |`2026-03-05`| Version of the GPT model to be used for deployment. |
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|`AZURE_ENV_MODEL_5_4_CAPACITY`| int |`150`| Sets the GPT model capacity. |
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|`AZURE_ENV_IMAGE_TAG`| string |`latest_v5`| Docker image tag used for container deployments. |
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|`AZURE_ENV_MODEL_5_4_CAPACITY`| int |`150`| Sets the GPT model capacity. ||
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|`AZURE_ENV_ENABLE_TELEMETRY`| bool |`true`| Enables telemetry for monitoring and diagnostics. |
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|`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. |
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|`AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID`| string | Guide to get your [Existing Workspace ID](re-use-log-analytics.md)| Set this if you want to reuse an existing Log Analytics Workspace instead of creating a new one. |
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