Add support for GPT-5.1 and GPT-5.2: update token limits and pricing

backend/igny8_core/ai/ai_core.py

@@ -239,8 +239,12 @@ class AICore:
             'temperature': temperature,
         }
         
+        # GPT-5.1 and GPT-5.2 use max_completion_tokens instead of max_tokens
         if max_tokens:
-            body_data['max_tokens'] = max_tokens
+            if active_model in ['gpt-5.1', 'gpt-5.2']:
+                body_data['max_completion_tokens'] = max_tokens
+            else:
+                body_data['max_tokens'] = max_tokens
         
         if response_format:
             body_data['response_format'] = response_format

backend/igny8_core/ai/constants.py

@@ -6,6 +6,8 @@ MODEL_RATES = {
     'gpt-4.1': {'input': 2.00, 'output': 8.00},
     'gpt-4o-mini': {'input': 0.15, 'output': 0.60},
     'gpt-4o': {'input': 2.50, 'output': 10.00},
+    'gpt-5.1': {'input': 1.25, 'output': 10.00},
+    'gpt-5.2': {'input': 1.75, 'output': 14.00},
 }
 
 # Image model pricing (per image) - EXACT from reference plugin
@@ -33,7 +35,7 @@ VALID_SIZES_BY_MODEL = {
 DEFAULT_AI_MODEL = 'gpt-4.1'
 
 # JSON mode supported models
-JSON_MODE_MODELS = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview']
+JSON_MODE_MODELS = ['gpt-4o', 'gpt-4o-mini', 'gpt-4-turbo-preview', 'gpt-5.1', 'gpt-5.2']
 
 # Debug mode - controls console logging
 # Set to False in production to disable verbose logging

backend/igny8_core/ai/settings.py

@@ -99,8 +99,10 @@ def get_model_config(function_name: str, account) -> Dict[str, Any]:
         # MODEL_RATES not available - skip validation
         pass
     
-    # Get max_tokens and temperature from config (standardized to 8192)
-    max_tokens = config.get('max_tokens', 8192)  # Standardized across entire codebase
+    # Get max_tokens and temperature from config (standardized to 8192, 16384 for GPT-5.x)
+    # GPT-5.1 and GPT-5.2 use 16384 max_tokens by default
+    default_max_tokens = 16384 if model in ['gpt-5.1', 'gpt-5.2'] else 8192
+    max_tokens = config.get('max_tokens', default_max_tokens)
     temperature = config.get('temperature', 0.7)  # Reasonable default
     
     # Build response format based on model (JSON mode for supported models)