fix: Enterprise WeChat docking sub application cannot output thinking process

Author: shaohuzhang1

apps/application/flow/step_node/application_node/impl/base_application_node.py

@@ -115,6 +115,10 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
                                          'prompt_tokens': response.get('prompt_tokens')}}
     answer = response.get('content', '') or "抱歉，没有查找到相关内容，请重新描述您的问题或提供更多信息。"
     reasoning_content = response.get('reasoning_content', '')
+    answer_list = response.get('answer_list', [])
+    node_variable['application_node_dict'] = {answer.get('real_node_id'): {**answer, 'index': index} for answer, index
+                                              in
+                                              zip(answer_list, range(len(answer_list)))}
     _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
 
 

apps/common/handle/impl/response/openai_to_response.py

@@ -26,7 +26,7 @@ def to_block_response(self, chat_id, chat_record_id, content, is_end, completion
             other_params = {}
         data = ChatCompletion(id=chat_record_id, choices=[
             BlockChoice(finish_reason='stop', index=0, chat_id=chat_id,
-                        reasoning_content=other_params.get('reasoning_content', ""),
+                        answer_list=other_params.get('answer_list', ""),
                         message=ChatCompletionMessage(role='assistant', content=content))],
                               created=datetime.datetime.now().second, model='', object='chat.completion',
                               usage=CompletionUsage(completion_tokens=completion_tokens,