chore: OpenAI models by replacing Standard with GlobalStandard across infrastructure in the Bicep (#1861)

Author: Roopan-Microsoft

docs/prompt_flow.md

@@ -45,7 +45,7 @@ This is a known issue and can be resolved by initiating a compute session. Once
 
 Follow these steps to update the flow:
 
-1. Navigate to the flow in Azure Machine Learning Studio and make the necessary changes
+1. Navigate to the flow in Azure Machine Learning Studio and make the necessary changes.
 1. Download the updated flow files to the [../infra/prompt-flow/cwyd/](../infra/prompt-flow/cwyd/) directory by clicking the download button in the Files tab
 ![Download](images/prompt-flow-download.png)
 1. Replace the content of `flow.dag.template.yaml` with your new flow from the `flow.dag.yaml` file

infra/main.bicep

@@ -434,7 +434,7 @@ var defaultOpenAiDeployments = [
       version: azureOpenAIEmbeddingModelVersion
     }
     sku: {
-      name: 'Standard'
+      name: 'GlobalStandard'
       capacity: azureOpenAIEmbeddingModelCapacity
     }
   }

infra/main.json

@@ -5,7 +5,7 @@
     "_generator": {
       "name": "bicep",
       "version": "0.36.177.2456",
-      "templateHash": "849970351177560479"
+      "templateHash": "5740998106011376838"
     }
   },
   "parameters": {
@@ -928,7 +928,7 @@
           "version": "[parameters('azureOpenAIEmbeddingModelVersion')]"
         },
         "sku": {
-          "name": "Standard",
+          "name": "GlobalStandard",
           "capacity": "[parameters('azureOpenAIEmbeddingModelCapacity')]"
         }
       }

scripts/checkquota.sh

@@ -33,7 +33,7 @@ echo "✅ Azure subscription set successfully."
 # Define models and their minimum required capacities
 declare -A MIN_CAPACITY=(
     ["OpenAI.GlobalStandard.gpt4.1"]=$GPT_MIN_CAPACITY
-    ["OpenAI.Standard.text-embedding-ada-002"]=$TEXT_EMBEDDING_MIN_CAPACITY
+    ["OpenAI.GlobalStandard.text-embedding-ada-002"]=$TEXT_EMBEDDING_MIN_CAPACITY
 )
 
 VALID_REGION=""

scripts/quota_check_params.sh

@@ -165,12 +165,8 @@ for REGION in "${REGIONS[@]}"; do
         FOUND=false
         INSUFFICIENT_QUOTA=false
 
-        if [ "$MODEL_NAME" = "text-embedding-ada-002" ]; then
-            MODEL_TYPES=("openai.standard.$MODEL_NAME")
-        else
-            MODEL_TYPES=("openai.standard.$MODEL_NAME" "openai.globalstandard.$MODEL_NAME")
-        fi
-
+        MODEL_TYPES=("openai.standard.$MODEL_NAME" "openai.globalstandard.$MODEL_NAME")
+      
         for MODEL_TYPE in "${MODEL_TYPES[@]}"; do
             FOUND=false
             INSUFFICIENT_QUOTA=false