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Copy file name to clipboardExpand all lines: docs/CustomizingAzdParameters.md
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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. |
Copy file name to clipboardExpand all lines: docs/DeploymentGuide.md
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For **production deployments**, the repository also provides [`main.waf.parameters.json`](../infra/main.waf.parameters.json), which applies a [Well-Architected Framework (WAF) aligned](https://learn.microsoft.com/en-us/azure/well-architected/) configuration. This option enables additional Azure best practices for reliability, security, cost optimization, operational excellence, and performance efficiency, such as:
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**Prerequisite** — Enable the Microsoft.Compute/EncryptionAtHost feature for every subscription (and region, if required) where you plan to deploy VMs or VM scale sets with `encryptionAtHost: true`. Repeat the registration steps below for each target subscription (and for each region when applicable). This step is required for **WAF-aligned** (production) deployments.
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Steps to enable the feature:
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1. Set the target subscription:
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Run: <code>az account set --subscription "<YourSubscriptionId>"</code>
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2. Register the feature (one time per subscription):
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