Use Existing ai project

Author: Shreyas-Microsoft

infra/main.bicep

@@ -95,6 +95,9 @@ param gptModelVersion string = '2024-08-06'
 
 param existingLogAnalyticsWorkspaceId string = ''
 
+@description('Use this parameter to use an existing AI project resource ID')
+param azureExistingAIProjectResourceId string = ''
+
 var allTags = union(
   {
     'azd-env-name': solutionName
@@ -225,6 +228,7 @@ module aiServices 'modules/ai-foundry/main.bicep' = {
     deployments: [modelDeployment]
     projectName: 'proj-${resourcesName}'
     logAnalyticsWorkspaceResourceId: enableMonitoring ? logAnalyticsWorkspaceResourceId : ''
+    azureExistingAIProjectResourceId: azureExistingAIProjectResourceId
     privateNetworking: enablePrivateNetworking
       ? {
           virtualNetworkResourceId: network.outputs.vnetResourceId

infra/main.parameters.json

@@ -26,6 +26,9 @@
     "existingLogAnalyticsWorkspaceId": {
       "value": "${AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID}"
     },
+    "azureExistingAIProjectResourceId": {
+      "value": "AZURE_EXISTING_AI_PROJECT_RESOURCE_ID"
+    },
     "secondaryLocation": {
       "value": "${AZURE_ENV_COSMOS_SECONDARY_LOCATION}"
     },

infra/modules/ai-foundry/main.bicep

@@ -60,6 +60,9 @@ param projectDescription string = projectName
 @description('Optional. The resource ID of the Log Analytics workspace to use for diagnostic settings.')
 param logAnalyticsWorkspaceResourceId string?
 
+@description('Optional. Use this parameter to use an existing AI project resource ID')
+param azureExistingAIProjectResourceId string?
+
 import { deploymentType } from 'br/public:avm/res/cognitive-services/account:0.10.2'
 @description('Optional. Specifies the OpenAI deployments to create.')
 param deployments deploymentType[] = []
@@ -188,6 +191,7 @@ module aiProject 'project.bicep' = {
     roleAssignments: roleAssignments
     tags: tags
     enableTelemetry: enableTelemetry
+    azureExistingAIProjectResourceId: azureExistingAIProjectResourceId
   }
 }
 

infra/modules/ai-foundry/project.bicep

@@ -20,6 +20,15 @@ param tags object = {}
 @description('Optional. Enable/Disable usage telemetry for module.')
 param enableTelemetry bool = true
 
+@description('Optional. Use this parameter to use an existing AI project resource ID')
+param azureExistingAIProjectResourceId string?
+
+// Endpoint from existing AI Project Resource ID if provided
+var existingProjEndpoint = !empty(azureExistingAIProjectResourceId) ? 
+                            format('https://{0}.services.ai.azure.com/api/projects/{1}', 
+                            split(azureExistingAIProjectResourceId, '/')[8], split(azureExistingAIProjectResourceId, '/')
+                            [10]) : ''
+
 // using a few built-in roles here that makes sense for Foundry projects only
 var builtInRoleNames = {
   'Cognitive Services OpenAI Contributor': subscriptionResourceId(
@@ -55,7 +64,7 @@ resource cogServiceReference 'Microsoft.CognitiveServices/accounts@2024-10-01' e
   name: aiServicesName
 }
 
-resource aiProject 'Microsoft.CognitiveServices/accounts/projects@2025-04-01-preview' = {
+resource aiProject 'Microsoft.CognitiveServices/accounts/projects@2025-04-01-preview' = if (empty(azureExistingAIProjectResourceId)) {
   parent: cogServiceReference
   name: name
   tags: tags
@@ -89,7 +98,7 @@ output name string = aiProject.name
 output resourceId string = aiProject.id
 
 @description('API endpoint for the AI Foundry project.')
-output apiEndpoint string = aiProject.properties.endpoints['AI Foundry API']
+output apiEndpoint string = !empty(existingProjEndpoint) ? existingProjEndpoint : aiProject.properties.endpoints['AI Foundry API']
 
 @export()
 @description('Output type representing AI project information.')