fix: 处理校验图片模型的报错

Author: liuruibin

apps/setting/models_provider/impl/openai_model_provider/credential/image.py

@@ -29,7 +29,9 @@ def is_valid(self, model_type: str, model_name, model_credential: Dict[str, obje
                     return False
         try:
             model = provider.get_model(model_type, model_name, model_credential)
-            model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            res = model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            for chunk in res:
+                print(chunk)
         except Exception as e:
             if isinstance(e, AppApiException):
                 raise e

apps/setting/models_provider/impl/qwen_model_provider/credential/image.py

@@ -50,7 +50,9 @@ def is_valid(self, model_type: str, model_name, model_credential: Dict[str, obje
                     return False
         try:
             model = provider.get_model(model_type, model_name, model_credential)
-            model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            res = model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            for chunk in res:
+                print(chunk)
         except Exception as e:
             if isinstance(e, AppApiException):
                 raise e

apps/setting/models_provider/impl/tencent_model_provider/credential/image.py

@@ -50,7 +50,9 @@ def is_valid(self, model_type: str, model_name, model_credential: Dict[str, obje
                     return False
         try:
             model = provider.get_model(model_type, model_name, model_credential)
-            model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            res = model.stream([HumanMessage(content=[{"type": "text", "text": "你好"}])])
+            for chunk in res:
+                print(chunk)
         except Exception as e:
             if isinstance(e, AppApiException):
                 raise e