我正在使用OpenAI助手API（Python）。到目前为止，运行良好。但有时候API返回的是我发送给助手的消息，而不是助手的回复。

from openai import OpenAIfrom os import environOPEN_API_KEY = environ.get('OPEN_API_KEY')assistant_id = "xxxxxxx"client = OpenAI(api_key=OPEN_API_KEY)assistant = client.beta.assistants.retrieve(assistant_id)def ask_assistant(message_text):     print(f'received message: {message_text}')        thread = client.beta.threads.create()        message = client.beta.threads.messages.create(        thread_id=thread.id,        role="user",        content=message_text    )    run = client.beta.threads.runs.create(        thread_id=thread.id,        assistant_id=assistant_id    )        run_retrieve = client.beta.threads.runs.retrieve(        thread_id=thread.id,        run_id=run.id    )        messages = client.beta.threads.messages.list(thread.id)    final_text = messages.data[0].content[0].text.value        try:        final_text = messages.data[0].content[0].text.value        print(final_text)    except Exception as e:        print(e)        final_text = ''        return final_text        if __name__ == "__main__":    ask_assistant('How are you?')

作为临时解决方案，我实现了一个睡眠函数，在获取回复前等待3秒。这种方法有效，但我不认为这是最佳解决方案（或者完全可靠）。有什么方法可以等到助手真正回复吗？

非常感谢。

更新：

这个方法有效：

from openai import OpenAIfrom os import environOPEN_API_KEY = environ.get('xxxxx')assistant_id = "xxxxx"client = OpenAI(api_key=OPEN_API_KEY)assistant = client.beta.assistants.retrieve(assistant_id)def get_answer(run, thread):    while not run.status == "completed":        print("Waiting for answer...")        run = client.beta.threads.runs.retrieve(            thread_id=thread.id,            run_id=run.id        )            messages = client.beta.threads.messages.list(thread.id)    answer = messages.data[0].content[0].text.value        try:        answer = messages.data[0].content[0].text.value    except Exception as e:        print(e)        answer = ''            return answerdef ask_assistant(message_text):     print(f'sending to assistant: {message_text}')    thread = client.beta.threads.create()        message = client.beta.threads.messages.create(        thread_id=thread.id,        role="user",        content=message_text    )    run = client.beta.threads.runs.create(        thread_id=thread.id,        assistant_id=assistant_id    )        answer = get_answer(run, thread)      print(f'assistant response: {answer}')    return answer        if __name__ == "__main__":    ask_assistant('Hello')

回答：

这应该有效：

run = openai.beta.threads.runs.create(  thread_id=thread.id,  assistant_id=assistant.id)print(run)while run.status !="completed":  run = openai.beta.threads.runs.retrieve(    thread_id=thread.id,    run_id=run.id  )  print(run.status)messages = openai.beta.threads.messages.list(  thread_id=thread.id)print(messages.data[0].content[0].text.value)

感谢@[隐藏人名]