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fix: Enterprise WeChat docking sub application cannot output thinking process (#2489)

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shaohuzhang1 2025-03-04 19:31:49 +08:00 committed by GitHub
parent b6da5fb79b
commit e420a01e0d
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2 changed files with 5 additions and 1 deletions
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4
apps/application/flow/step_node/application_node/impl/base_application_node.py
View File

@ -115,6 +115,10 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
'prompt_tokens': response.get('prompt_tokens')}} '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。" 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', '') 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) _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)

2
apps/common/handle/impl/response/openai_to_response.py
View File

@ -26,7 +26,7 @@ class OpenaiToResponse(BaseToResponse):
other_params = {} other_params = {}
data = ChatCompletion(id=chat_record_id, choices=[ data = ChatCompletion(id=chat_record_id, choices=[
BlockChoice(finish_reason='stop', index=0, chat_id=chat_id, 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))], message=ChatCompletionMessage(role='assistant', content=content))],
created=datetime.datetime.now().second, model='', object='chat.completion', created=datetime.datetime.now().second, model='', object='chat.completion',
usage=CompletionUsage(completion_tokens=completion_tokens, usage=CompletionUsage(completion_tokens=completion_tokens,