refactor: optimize HumanMessage content generation by simplifying prompt handling

Author: wxg0103

apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py

@@ -16,7 +16,6 @@
 
 from common.exception.app_exception import AppApiException
 from common.utils.common import guess_image_format
-from common.utils.logger import maxkb_logger
 from common.utils.rsa_util import rsa_long_decrypt
 from common.utils.shared_resource_auth import filter_authorized_ids
 from common.utils.tool_code import ToolExecutor
@@ -512,9 +511,10 @@ def generate_prompt_question(self, prompt, model):
             images = self._process_images(image)
         if video and vision:
             videos = self._process_videos(video, model)
-        return HumanMessage(
-            content=[*videos, *images, {"type": "text", "text": self.workflow_manage.generate_prompt(prompt)}]
-        )
+        prompt = self.workflow_manage.generate_prompt(prompt)
+        if images or videos:
+            return HumanMessage(content=[*videos, *images, {"type": "text", "text": prompt}])
+        return HumanMessage(content=prompt)
 
     def is_vision(self):
         if "vision" in self.node_params_serializer.data: