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@@ -13,7 +13,7 @@ By default this template will use the environment name as the prefix to prevent
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|`AZURE_ENV_OPENAI_LOCATION`| string |`<User selects during deployment>`| Specifies the region for OpenAI resource deployment. |
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|`AZURE_ENV_MODEL_DEPLOYMENT_TYPE`| string |`GlobalStandard`| Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). |
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|`AZURE_ENV_MODEL_NAME`| string |`gpt-4o`| Specifies the name of the GPT model to be deployed. |
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|`AZURE_ENV_FOUNDRY_PROJECT_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_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. |
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|`AZURE_ENV_MODEL_VERSION`| string |`2024-08-06`| Version of the GPT model to be used for deployment. |
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|`AZURE_ENV_MODEL_CAPACITY`| int |`150`| Sets the GPT model capacity. |
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|`AZURE_ENV_IMAGETAG`| string |`latest`| Docker image tag used for container deployments. |
This error appears when a resource (typically a Virtual Machine or scale set) sets the property <code>encryptionAtHost: true</code> but the subscription isn't enabled for the feature <code>Microsoft.Compute/EncryptionAtHost</code> in that region.
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Example error snippet:
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<pre>
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{"code":"InvalidTemplateDeployment","message":"The template deployment failed with error: 'The feature Microsoft.Compute/EncryptionAtHost is not enabled forsubscription <sub-id>in location <region>.'"}
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</pre>
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Why it happens:
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- The host-level encryption capability is a gated feature. Subscriptions must register the feature (and sometimes wait for registration to complete) before provisioning VMs with it enabled.
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- Attempting to force it on before registration completes blocks deployment.
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How to fix:
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1. Set the subscription
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- Run: <code>az account set --subscription "yourSubIDHere"</code>
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2. Register the feature (one time per subscription):
💡 Note: If you encounter any other issues, you can refer to the [Common Deployment Errors](https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/common-deployment-errors) documentation.
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If the problem persists, you can also raise an bug in our [MACAE Github Issues](https://github.com/microsoft/Multi-Agent-Custom-Automation-Engine-Solution-Accelerator/issues) for further support.
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