included gpt-image-1.5 option

Author: Ragini-Microsoft

content-gen/infra/main.bicep

@@ -54,9 +54,10 @@ param gptModelName string = 'gpt-5.1'
 @description('Optional. Version of the GPT model to deploy.')
 param gptModelVersion string = '2025-11-13'
 
-@description('Optional. Image model to deploy: gpt-image-1, dall-e-3, or none to skip.')
+@description('Optional. Image model to deploy: gpt-image-1, gpt-image-1.5, dall-e-3, or none to skip.')
 @allowed([
   'gpt-image-1'
+  'gpt-image-1.5'
   'dall-e-3'
   'none'
 ])
@@ -268,6 +269,11 @@ var imageModelConfig = {
     version: '2025-04-15'
     sku: 'GlobalStandard'
   }
+  'gpt-image-1.5': {
+    name: 'gpt-image-1.5'
+    version: '2025-12-16'
+    sku: 'GlobalStandard'
+  }
   'dall-e-3': {
     name: 'dall-e-3'
     version: '3.0'

content-gen/infra/main.json

@@ -6,7 +6,7 @@
     "_generator": {
       "name": "bicep",
       "version": "0.39.26.7824",
-      "templateHash": "9035268371577303624"
+      "templateHash": "16137819665558470436"
     },
     "name": "Intelligent Content Generation Accelerator",
     "description": "Solution Accelerator for multimodal marketing content generation using Microsoft Agent Framework.\n"
@@ -99,11 +99,12 @@
       "defaultValue": "gpt-image-1",
       "allowedValues": [
         "gpt-image-1",
+        "gpt-image-1.5",
         "dall-e-3",
         "none"
       ],
       "metadata": {
-        "description": "Optional. Image model to deploy: gpt-image-1, dall-e-3, or none to skip."
+        "description": "Optional. Image model to deploy: gpt-image-1, gpt-image-1.5, dall-e-3, or none to skip."
       }
     },
     "azureOpenaiAPIVersion": {
@@ -334,6 +335,11 @@
         "version": "2025-04-15",
         "sku": "GlobalStandard"
       },
+      "gpt-image-1.5": {
+        "name": "gpt-image-1.5",
+        "version": "2025-12-16",
+        "sku": "GlobalStandard"
+      },
       "dall-e-3": {
         "name": "dall-e-3",
         "version": "3.0",
@@ -10858,6 +10864,11 @@
                 "roleDefinitionIdOrName": "5e0bd9bd-7b93-4f28-af87-19fc36ad61bd",
                 "principalId": "[reference('userAssignedIdentity').outputs.principalId.value]",
                 "principalType": "ServicePrincipal"
+              },
+              {
+                "roleDefinitionIdOrName": "53ca6127-db72-4b80-b1b0-d745d6d5456d",
+                "principalId": "[deployer().objectId]",
+                "principalType": "User"
               }
             ]
           },

content-gen/src/backend/agents/image_content_agent.py

@@ -1,7 +1,7 @@
-"""Image Content Agent - Generates marketing images via DALL-E 3 or gpt-image-1.
+"""Image Content Agent - Generates marketing images via DALL-E 3, gpt-image-1, or gpt-image-1.5.
 
 Provides the generate_image function used by the orchestrator
-to create marketing images using either DALL-E 3 or gpt-image-1.
+to create marketing images using either DALL-E 3, gpt-image-1, or gpt-image-1.5.
 """
 
 import logging
@@ -74,7 +74,7 @@ async def generate_dalle_image(
     quality: str = None
 ) -> dict:
     """
-    Generate a marketing image using DALL-E 3 or gpt-image-1.
+    Generate a marketing image using DALL-E 3, gpt-image-1, or gpt-image-1.5.
     
     The model used is determined by AZURE_OPENAI_IMAGE_MODEL setting.
     
@@ -84,10 +84,10 @@ async def generate_dalle_image(
         scene_description: Scene/setting description from creative brief
         size: Image size (model-specific, uses settings default if not provided)
               - dall-e-3: 1024x1024, 1024x1792, 1792x1024
-              - gpt-image-1: 1024x1024, 1536x1024, 1024x1536, auto
+              - gpt-image-1/1.5: 1024x1024, 1536x1024, 1024x1536, auto
         quality: Image quality (model-specific, uses settings default if not provided)
               - dall-e-3: standard, hd
-              - gpt-image-1: low, medium, high, auto
+              - gpt-image-1/1.5: low, medium, high, auto
     
     Returns:
         Dictionary containing generated image data and metadata
@@ -97,7 +97,7 @@ async def generate_dalle_image(
     logger.info(f"Using image generation model: {image_model}")
 
     # Use appropriate generator based on model
-    if image_model == "gpt-image-1":
+    if image_model in ["gpt-image-1", "gpt-image-1.5"]:
         return await _generate_gpt_image(prompt, product_description, scene_description, size, quality)
     else:
         return await _generate_dalle_image(prompt, product_description, scene_description, size, quality)
@@ -236,9 +236,9 @@ async def _generate_gpt_image(
     quality: str = None
 ) -> dict:
     """
-    Generate a marketing image using gpt-image-1.
+    Generate a marketing image using gpt-image-1 or gpt-image-1.5.
     
-    gpt-image-1 has different capabilities than DALL-E 3:
+    gpt-image models have different capabilities than DALL-E 3:
     - Supports larger prompt sizes
     - Different size options: 1024x1024, 1536x1024, 1024x1536, auto
     - Different quality options: low, medium, high, auto
@@ -257,18 +257,18 @@ async def _generate_gpt_image(
     brand = app_settings.brand_guidelines
 
     # Use defaults from settings if not provided
-    # Map DALL-E quality settings to gpt-image-1 equivalents if needed
+    # Map DALL-E quality settings to gpt-image-1 or gpt-image-1.5 equivalents if needed
     size = size or app_settings.azure_openai.image_size
     quality = quality or app_settings.azure_openai.image_quality
 
-    # Map DALL-E quality values to gpt-image-1 equivalents
+    # Map DALL-E quality values to gpt-image-1 or gpt-image-1.5 equivalents
     quality_mapping = {
         "standard": "medium",
         "hd": "high",
     }
     quality = quality_mapping.get(quality, quality)
 
-    # Map DALL-E sizes to gpt-image-1 equivalents if needed
+    # Map DALL-E sizes to gpt-image-1 or gpt-image-1.5 equivalents if needed
     size_mapping = {
         "1024x1792": "1024x1536",  # Closest equivalent
         "1792x1024": "1536x1024",  # Closest equivalent
@@ -332,10 +332,10 @@ async def _generate_gpt_image(
         )
 
         try:
-            # gpt-image-1 API call - note: gpt-image-1 doesn't support response_format parameter
+            # gpt-image-1/1.5 API call - note: gpt-image doesn't support response_format parameter
             # It returns base64 data directly in the response
             response = await client.images.generate(
-                model="gpt-image-1",
+                model=app_settings.azure_openai.effective_image_model,
                 prompt=full_prompt,
                 size=size,
                 quality=quality,

content-gen/src/backend/settings.py

@@ -66,12 +66,12 @@ class _AzureOpenAISettings(BaseSettings):
     model: str = "gpt-5"
 
     # Image generation model settings
-    # Supported models: "dall-e-3" or "gpt-image-1"
+    # Supported models: "dall-e-3" or "gpt-image-1" or "gpt-image-1.5"
     image_model: str = Field(default="dall-e-3", alias="AZURE_OPENAI_IMAGE_MODEL")
     dalle_model: str = Field(default="dall-e-3", alias="AZURE_OPENAI_DALLE_MODEL")  # Legacy alias
     dalle_endpoint: Optional[str] = Field(default=None, alias="AZURE_OPENAI_DALLE_ENDPOINT")
 
-    # gpt-image-1 specific endpoint (if different from DALL-E endpoint)
+    # gpt-image-1 or gpt-image-1.5 specific endpoint (if different from DALL-E endpoint)
     gpt_image_endpoint: Optional[str] = Field(default=None, alias="AZURE_OPENAI_GPT_IMAGE_ENDPOINT")
 
     resource: Optional[str] = None
@@ -100,7 +100,7 @@ def effective_image_model(self) -> str:
     @property
     def image_endpoint(self) -> Optional[str]:
         """Get the appropriate endpoint for the configured image model."""
-        if self.effective_image_model == "gpt-image-1" and self.gpt_image_endpoint:
+        if self.effective_image_model in ["gpt-image-1", "gpt-image-1.5"] and self.gpt_image_endpoint:
             return self.gpt_image_endpoint
         return self.dalle_endpoint
 
@@ -110,7 +110,7 @@ def image_generation_enabled(self) -> bool:
         
         Image generation requires either:
         - A DALL-E endpoint configured, OR
-        - A gpt-image-1 endpoint configured, OR
+        - A gpt-image-1 or gpt-image-1.5 endpoint configured, OR
         - Using the main OpenAI endpoint with an image model configured
         
         Returns False if image_model is explicitly set to empty string or "none".