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‎docs/CustomizingAzdParameters.md‎

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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_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_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. |
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| `AZURE_ENV_MODEL_NAME` | string | `gpt-4.1-mini` | Specifies the name of the GPT model to be deployed. |
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| `AZURE_ENV_MODEL_VERSION` | string | `2025-04-14` | Version of the GPT model to be used for deployment. |
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| `AZURE_ENV_MODEL_CAPACITY` | int | `50` | Sets the GPT model capacity. |
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| `AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). |
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| `AZURE_ENV_MODEL_4_1_NAME` | string | `gpt-4.1` | Specifies the name of the GPT model to be deployed. |
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| `AZURE_ENV_MODEL_4_1_VERSION` | string | `2025-04-14` | Version of the GPT model to be used for deployment. |
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| `AZURE_ENV_MODEL_4_1_CAPACITY` | int | `150` | Sets the GPT model capacity. |
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| `AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). |
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| `AZURE_ENV_REASONING_MODEL_NAME` | string | `o4-mini` | Specifies the name of the reasoning GPT model to be deployed. |
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| `AZURE_ENV_REASONING_MODEL_VERSION` | string | `2025-04-16` | Version of the reasoning GPT model to be used for deployment. |
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| `AZURE_ENV_REASONING_MODEL_CAPACITY` | int | `50` | Sets the reasoning GPT model capacity. |
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| `AZURE_ENV_IMAGETAG` | string | `latest_v3` | Docker image tag used for container deployments. |
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| `AZURE_ENV_ENABLE_TELEMETRY` | bool | `true` | Enables telemetry for monitoring and diagnostics. |
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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_LOG_ANALYTICS_WORKSPACE_ID` | string | Guide to get your [Existing Workspace ID](/docs/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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| `AZURE_ENV_VM_ADMIN_USERNAME` | string | `take(newGuid(), 20)` | The administrator username for the virtual machine. |
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| `AZURE_ENV_VM_ADMIN_PASSWORD` | string | `newGuid()` | The administrator password for the virtual machine. |

‎docs/DeploymentGuide.md‎

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When you start the deployment, most parameters will have **default values**, but you can update the following settings [here](../docs/CustomizingAzdParameters.md):
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| **Setting** | **Description** | **Default value** |
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| ------------------------------ | ------------------------------------------------------------------------------------ | ----------------- |
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| **Environment Name** | Used as a prefix for all resource names to ensure uniqueness across environments. | macae |
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| **Azure Region** | Location of the Azure resources. Controls where the infrastructure will be deployed. | swedencentral |
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| **OpenAI Deployment Location** | Specifies the region for OpenAI resource deployment. | swedencentral |
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| **Model Deployment Type** | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). | GlobalStandard |
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| **GPT Model Name** | Specifies the name of the GPT model to be deployed. | gpt-4o |
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| **GPT Model Version** | Version of the GPT model to be used for deployment. | 2024-08-06 |
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| **GPT Model Capacity** | Sets the GPT model capacity. | 150 |
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| **Image Tag** | Docker image tag used for container deployments. | latest |
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| **Enable Telemetry** | Enables telemetry for monitoring and diagnostics. | true |
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| **Existing Log Analytics Workspace** | To reuse an existing Log Analytics Workspace ID instead of creating a new one. | *(none)* |
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| **Existing Azure AI Foundry Project** | To reuse an existing Azure AI Foundry Project ID instead of creating a new one. | *(none)* |
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</details>
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‎infra/main.parameters.json‎

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"gptModelCapacity": {
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"value": "${AZURE_ENV_MODEL_CAPACITY}"
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},
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"gpt4_1ModelDeploymentType": {
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"value": "${AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE}"
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},
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"gpt4_1ModelName": {
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"value": "${AZURE_ENV_MODEL_4_1_NAME}"
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},
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"gpt4_1ModelVersion": {
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"value": "${AZURE_ENV_MODEL_4_1_VERSION}"
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},
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"gpt4_1ModelCapacity": {
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"value": "${AZURE_ENV_MODEL_4_1_CAPACITY}"
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},
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"gptReasoningModelDeploymentType": {
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"value": "${AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE}"
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},
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"gptReasoningModelName": {
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"value": "${AZURE_ENV_REASONING_MODEL_NAME}"
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},
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"gptReasoningModelVersion": {
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"value": "${AZURE_ENV_REASONING_MODEL_VERSION}"
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},
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"gptReasoningModelCapacity": {
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"value": "${AZURE_ENV_REASONING_MODEL_CAPACITY}"
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},
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"backendContainerImageTag": {
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"value": "${AZURE_ENV_IMAGE_TAG=latest_v3}"
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},

‎infra/main.waf.parameters.json‎

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"gptModelCapacity": {
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"value": "${AZURE_ENV_MODEL_CAPACITY}"
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},
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"gpt4_1ModelDeploymentType": {
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"value": "${AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE}"
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},
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"gpt4_1ModelName": {
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"value": "${AZURE_ENV_MODEL_4_1_NAME}"
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},
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"gpt4_1ModelVersion": {
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"value": "${AZURE_ENV_MODEL_4_1_VERSION}"
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},
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"gpt4_1ModelCapacity": {
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"value": "${AZURE_ENV_MODEL_4_1_CAPACITY}"
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},
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"gptReasoningModelDeploymentType": {
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"value": "${AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE}"
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},
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"gptReasoningModelName": {
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"value": "${AZURE_ENV_REASONING_MODEL_NAME}"
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},
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"gptReasoningModelVersion": {
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"value": "${AZURE_ENV_REASONING_MODEL_VERSION}"
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},
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"gptReasoningModelCapacity": {
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"value": "${AZURE_ENV_REASONING_MODEL_CAPACITY}"
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},
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"backendContainerImageTag": {
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"value": "${AZURE_ENV_IMAGE_TAG=latest_v3}"
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},

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