use gpt4omini for extracting tags

Author: Harsh-Microsoft

App/backend-api/Microsoft.GS.DPS/Handlers/KeywordExtractingHandler.cs

@@ -38,7 +38,7 @@ public KeywordExtractingHandler(
 
         //init Semantic Kernel
         this._kernel = Kernel.CreateBuilder()
-            .AddAzureOpenAIChatCompletion(deploymentName: (string)this._config.Services["AzureOpenAIText"]["Deployment"],
+            .AddAzureOpenAIChatCompletion(deploymentName: (string)this._config.Services["AzureOpenAIText"]["DeploymentTags"],
                                                 endpoint: (string)this._config.Services["AzureOpenAIText"]["Endpoint"],
                                                   credentials: new DefaultAzureCredential())
             .Build();
@@ -89,6 +89,7 @@ TAGS SHOULD BE CATEGORY SPECIFIC
                         TAGS SHOULD BE A LIST OF STRINGS
                         TAGS COUNT CAN BE UP TO 10 UNDER A CATEGORY
                         CATEGORY COUNT CAN BE UP TO 10
+                        ONLY INCLUDE RELEVANT AND IMPORTANT CATEGORIES AND TAGS TO KEEP THE LIST MINIMAL
                         DON'T ADD ANY MARKDOWN EXPRESSION IN YOUR RESPONSE
                         STRICTLY RESPOND IN FORMAT SHOWN IN BELOW EXAMPLES
                         [END RULES]
@@ -107,18 +108,18 @@ [END EXAMPLE 1]
                         [EXAMPLE 2]
                         [
                             {
-                                "Economic Conditions": [
-                                    "Nonfarm Payrolls",
-                                    "Job Growth",
-                                    "GDP Growth"
+                                "Addenda": [
+                                    "Addendum Regarding Fixture Leases",
+                                    "Loan Assumption Addendum",
+                                    "Seller Financing Addendum"
                                 ]
                             },
                             {
-                                "Home Sales Market": [
-                                    "Market Conditions",
-                                    "Home Sales Volume",
-                                    "Mortgage Rates",
-                                    "REO Properties"
+                                "Contract Details": [
+                                    "Closing Date",
+                                    "Earnest Money",
+                                    "Property Condition",
+                                    "Sales Price"
                                 ]
                             }
                         ]

Deployment/send-filestoendpoint.psm1

@@ -21,7 +21,7 @@ function Send-FilesToEndpoint {
     $files = Get-ChildItem -Path $DataFolderPath -File
 
     # Create HttpClient with timeout
-    $timeout = 600000 # Timeout in milliseconds (e.g., 600000 ms = 600 seconds)
+    $timeout = 720000 # Timeout in milliseconds (e.g., 720000 ms = 720 seconds)
     $httpClient = [System.Net.Http.HttpClient]::new()
     $httpClient.Timeout = [TimeSpan]::FromMilliseconds($timeout)
 
@@ -69,8 +69,6 @@ function Send-FilesToEndpoint {
             else {
                 Write-Error "Failed to upload file: $($file.Name). Status code: $($response.StatusCode)"
             }
-
-            Start-Sleep -Seconds 30
         }
         catch {
             Write-Error "An error occurred while uploading the file: $($file.Name). Error: $_"

infra/main.bicep

@@ -35,6 +35,8 @@ param gptModelDeploymentType string = 'GlobalStandard'
 @description('Optional. Name of the GPT model to deploy:')
 @allowed([
   'gpt-4.1-mini'
+  'gpt-4o'
+  'gpt-4o-mini'
 ])
 param gptModelName string = 'gpt-4.1-mini'
 
@@ -45,6 +47,18 @@ param gptModelVersion string = '2025-04-14'
 @minValue(10)
 param gptModelCapacity int = 100
 
+@minLength(1)
+@description('Optional. Name of the GPT model to deploy:')
+@allowed([
+  'gpt-4.1-mini'
+  'gpt-4o'
+  'gpt-4o-mini'
+])
+param gptModelNameTags string = 'gpt-4o-mini'
+
+@description('Optional. Version of the GPT model to deploy.')
+param gptModelVersionTags string = '2024-07-18'
+
 @minLength(1)
 @description('Optional. Name of the Text Embedding model to deploy:')
 @allowed([
@@ -95,7 +109,8 @@ param enableScalability bool = false
   azd: {
     type: 'location'
     usageName: [
-      'OpenAI.GlobalStandard.gpt4.1-mini,150'
+      'OpenAI.GlobalStandard.gpt4.1-mini,100'
+      'OpenAI.GlobalStandard.gpt-4o-mini,100'
       'OpenAI.GlobalStandard.text-embedding-3-large,100'
     ]
   }
@@ -166,6 +181,13 @@ var gptModelDeployment = {
   deploymentCapacity: gptModelCapacity
 }
 
+var gptModelDeploymentTags = {
+  modelName: gptModelNameTags
+  deploymentName: gptModelNameTags
+  deploymentVersion: gptModelVersionTags
+  deploymentCapacity: gptModelCapacity
+}
+
 var embeddingModelDeployment = {
   modelName: embeddingModelName
   deploymentName: embeddingModelName
@@ -186,6 +208,18 @@ var openAiDeployments = [
       capacity: gptModelDeployment.deploymentCapacity
     }
   }
+  {
+    name: gptModelDeploymentTags.deploymentName
+    model: {
+      format: 'OpenAI'
+      name: gptModelDeploymentTags.modelName
+      version: gptModelDeploymentTags.deploymentVersion
+    }
+    sku: {
+      name: gptModelDeploymentType
+      capacity: gptModelDeploymentTags.deploymentCapacity
+    }
+  }
   {
     name: embeddingModelDeployment.deploymentName
     model: {
@@ -528,6 +562,10 @@ module avmAppConfig 'br/public:avm/res/app-configuration/configuration-store:0.6
         name: 'KernelMemory:Services:AzureOpenAIText:Deployment'
         value: gptModelDeployment.deploymentName
       }
+      {
+        name: 'KernelMemory:Services:AzureOpenAIText:DeploymentTags'
+        value: gptModelDeploymentTags.deploymentName
+      }
       {
         name: 'KernelMemory:Services:AzureOpenAIText:Endpoint'
         value: avmOpenAi.outputs.endpoint