Add version

modules/ai.py

@@ -80,7 +80,9 @@ def get_optimal_model(base_type="pro"):
             if "latest" in n: return 50
             return 100
         return sorted(candidates, key=score, reverse=True)[0]
-    except: return f"models/gemini-1.5-{base_type}"
+    except Exception as e:
+        utils.log("SYSTEM", f"⚠️ Error finding optimal model: {e}")
+        return f"models/gemini-1.5-{base_type}"
 
 def get_default_models():
     return {
@@ -116,7 +118,12 @@ def select_best_models(force_refresh=False):
 
     try:
         utils.log("SYSTEM", "Refreshing AI model list from API...")
-        models = [m.name for m in genai.list_models() if 'generateContent' in m.supported_generation_methods and 'gemini' in m.name.lower()]
+        all_models = list(genai.list_models())
+        raw_model_names = [m.name for m in all_models]
+        utils.log("SYSTEM", f"Found {len(all_models)} raw models from Google API.")
+        
+        models = [m.name for m in all_models if 'generateContent' in m.supported_generation_methods and 'gemini' in m.name.lower()]
+        utils.log("SYSTEM", f"Identified {len(models)} compatible Gemini models: {models}")
         
         bootstrapper = get_optimal_model("flash")
         utils.log("SYSTEM", f"Bootstrapping model selection with: {bootstrapper}")
@@ -160,7 +167,12 @@ def select_best_models(force_refresh=False):
         
         if not os.path.exists(config.DATA_DIR): os.makedirs(config.DATA_DIR)
         with open(cache_path, 'w') as f:
-            json.dump({"timestamp": int(time.time()), "models": selection, "available_at_time": models}, f, indent=2)
+            json.dump({
+                "timestamp": int(time.time()), 
+                "models": selection, 
+                "available_at_time": models,
+                "raw_models": raw_model_names
+            }, f, indent=2)
         return selection
     except Exception as e:
         utils.log("SYSTEM", f"AI Model Selection failed: {e}.")