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### How to install or deploy
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Follow the quick deploy steps on the deployment guide to deploy this solution to your own Azure subscription.
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> **Note:** This solution accelerator requires **Azure Developer CLI (azd) version 1.18.0 or higher**. Please ensure you have the latest version installed before proceeding with deployment. [Download azd here](https://learn.microsoft.com/en-us/azure/developer/azure-developer-cli/install-azd).
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[Click here to launch the deployment guide](./docs/DeploymentGuide.md)
This guide provides step-by-step instructions to build and push Docker images for **WebApp** and **Backend** services into Azure Container Registry (ACR).
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## 📋 Prerequisites
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Before starting, ensure you have:
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- An active [Azure Subscription](https://portal.azure.com/)
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-[Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) installed and logged in
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-[Docker Desktop](https://docs.docker.com/get-docker/) installed and running
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- Access to your Azure Container Registry (ACR)
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- To create an Azure Container Registry (ACR), you can refer to the following guides:
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-[Create Container Registry using Azure CLI](https://learn.microsoft.com/en-us/azure/container-registry/container-registry-get-started-azure-cli)
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-[Create Container Registry using Azure Portal](https://learn.microsoft.com/en-us/azure/container-registry/container-registry-get-started-portal?tabs=azure-cli)
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-[Create Container Registry using PowerShell](https://learn.microsoft.com/en-us/azure/container-registry/container-registry-get-started-powershell)
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-[Create Container Registry using ARM Template](https://learn.microsoft.com/en-us/azure/container-registry/container-registry-get-started-geo-replication-template)
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-[Create Container Registry using Bicep](https://learn.microsoft.com/en-us/azure/container-registry/container-registry-get-started-bicep?tabs=CLI)
|`AZURE_LOCATION`| string |`japaneast`| Sets the Azure region for resource deployment. |
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|`AZURE_LOCATION`| string |`<User selects during deployment>`| Sets the Azure region for resource deployment. |
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|`AZURE_ENV_NAME`| string |`docgen`| Sets the environment name prefix for all Azure resources. |
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|`AZURE_ENV_SECONDARY_LOCATION`| string |`eastus2`| Specifies a secondary Azure region. |
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|`AZURE_ENV_MODEL_DEPLOYMENT_TYPE`| string |`Standard`| Defines the model deployment type (allowed: `Standard`, `GlobalStandard`). |
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|`AZURE_ENV_MODEL_NAME`| string |`gpt-4.1`| Specifies the GPT model name (allowed: `gpt-4.1`). |
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|`AZURE_ENV_MODEL_VERSION`| string |`2024-05-13`| Set the Azure model version (allowed values: `2024-08-06`). |
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|`AZURE_ENV_OPENAI_API_VERSION`| string |`2024-05-01-preview`| Specifies the API version for Azure OpenAI. |
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|`AZURE_ENV_MODEL_VERSION`| string |`2025-04-14`| Set the Azure model version. |
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|`AZURE_ENV_OPENAI_API_VERSION`| string |`2025-01-01-preview`| Specifies the API version for Azure OpenAI. |
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|`AZURE_ENV_MODEL_CAPACITY`| integer |`30`| Sets the GPT model capacity (based on what's available in your subscription). |
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|`AZURE_ENV_EMBEDDING_MODEL_NAME`| string |`text-embedding-ada-002`| Sets the name of the embedding model to use. |
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|`AZURE_ENV_IMAGETAG`| string |`latest`| Set the Image tag Like (allowed values: latest, dev, hotfix) |
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|`AZURE_ENV_IMAGETAG`| string |`latest_waf`| Set the Image tag Like (allowed values: latest_waf, dev, hotfix) |
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|`AZURE_ENV_EMBEDDING_MODEL_CAPACITY`| integer |`80`| Sets the capacity for the embedding model deployment. |
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|`AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID`| string | Guide to get your [Existing Workspace ID](/docs/re-use-log-analytics.md)| Reuses an existing Log Analytics Workspace instead of creating a new one. |
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|`AZURE_EXISTING_AI_PROJECT_RESOURCE_ID`| string | Guid to get your existing AI Foundry Project resource ID | Reuses an existing AIFoundry and AIFoundryProject instead of creating a new one. |
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