feat: Added main.waf.parameters.json with updated parameters and updated deployment.md with waf deployment steps

content-gen/docs/DEPLOYMENT.md

@@ -161,9 +161,32 @@ Depending on your subscription quota and capacity, you can adjust quota settings
 
 </details>
 
+### Deployment Options
+
+The [`infra`](../infra) folder of the Content Generation Solution Accelerator contains the [`main.bicep`](../infra/main.bicep) Bicep script, which defines all Azure infrastructure components for this solution.
+
+By default, the `azd up` command uses the [`main.parameters.json`](../infra/main.parameters.json) file to deploy the solution. This file is pre-configured for a **sandbox environment**.
+
+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 can be used for Production scenarios.
+
+**How to choose your deployment configuration:**
+
+* **To use sandbox/dev environment** — Use the default `main.parameters.json` file.
+
+* **To use production configuration:**
+
+Before running `azd up`, copy the contents from the production configuration file to your main parameters file:
+
+1. Navigate to the `infra` folder in your project.
+2. Open `main.waf.parameters.json` in a text editor (like Notepad, VS Code, etc.).
+3. Select all content (Ctrl+A) and copy it (Ctrl+C).
+4. Open `main.parameters.json` in the same text editor.
+5. Select all existing content (Ctrl+A) and paste the copied content (Ctrl+V).
+6. Save the file (Ctrl+S).
+
 ### Deploying with AZD
 
-Once you've opened the project in [Codespaces](#github-codespaces), [Dev Containers](#vs-code-dev-containers), or [locally](#local-environment), you can deploy it to Azure by following the steps in the [AZD Deployment Guide](AZD_DEPLOYMENT.md)
+Once you've opened the project in [Codespaces](#github-codespaces), [Dev Containers](#vs-code-dev-containers), or [locally](#local-environment), you can deploy it to Azure by following the steps in the [AZD Deployment Guide](AZD_DEPLOYMENT.md).
 
 ## Post Deployment Steps
 

content-gen/infra/main.parameters.json

@@ -49,18 +49,6 @@
     },
     "imageTag": {
       "value": "${imageTag=latest}"
-    },
-    "enablePrivateNetworking": {
-      "value": "${enablePrivateNetworking}"
-    },
-    "enableMonitoring": {
-      "value": "${enableMonitoring}"
-    },
-    "enableScalability": {
-      "value": "${enableScalability}"
-    },
-    "enableRedundancy": {
-      "value": "${enableRedundancy}"
     }
   }
 }

content-gen/infra/main.waf.parameters.json

@@ -0,0 +1,69 @@
+{
+  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentParameters.json#",
+  "contentVersion": "1.0.0.0",
+  "parameters": {
+    "solutionName": {
+      "value": "${AZURE_ENV_NAME}"
+    },
+    "location": {
+      "value": "${AZURE_LOCATION}"
+    },
+    "gptModelName": {
+      "value": "${gptModelName}"
+    },
+    "gptModelVersion": {
+      "value": "${gptModelVersion}"
+    },
+    "gptModelDeploymentType": {
+      "value": "${gptModelDeploymentType}"
+    },
+    "gptModelCapacity": {
+      "value": "${gptModelCapacity}"
+    },
+    "imageModelChoice": {
+      "value": "${imageModelChoice}"
+    },
+    "dalleModelCapacity": {
+      "value": "${dalleModelCapacity}"
+    },
+    "embeddingModel": {
+      "value": "${embeddingModel}"
+    },
+    "embeddingDeploymentCapacity": {
+      "value": "${embeddingDeploymentCapacity}"
+    },
+    "azureOpenaiAPIVersion": {
+      "value": "${azureOpenaiAPIVersion}"
+    },
+    "azureAiServiceLocation": {
+      "value": "${azureAiServiceLocation}"
+    },
+    "existingLogAnalyticsWorkspaceId": {
+      "value": "${existingLogAnalyticsWorkspaceId}"
+    },
+    "azureExistingAIProjectResourceId": {
+      "value": "${azureExistingAIProjectResourceId}"
+    },
+    "acrName": {
+      "value": "${acrName}"
+    },
+    "imageTag": {
+      "value": "${imageTag=latest}"
+    },
+    "enableMonitoring": {
+      "value": true
+    },
+    "enablePrivateNetworking": {
+      "value": true
+    },
+    "enableScalability": {
+      "value": true
+    },
+    "virtualMachineAdminUsername": {
+      "value": "${AZURE_ENV_VM_ADMIN_USERNAME}"
+    },
+    "virtualMachineAdminPassword": {
+      "value": "${AZURE_ENV_VM_ADMIN_PASSWORD}"
+    }
+  }
+}