使用wxauto与kimi 的ai 接口

import time
from wxauto import WeChat
from openai import OpenAI
import os


wx = WeChat()
listen_list = ['好友id']
for i in listen_list:
    wx.AddListenChat(who=i)

while True:
    # 获取列表所有窗口消息
    msgs = wx.GetListenMessage()
    for chat in msgs:
        one_msgs = msgs.get(chat)
        if one_msgs:
            for msg in one_msgs:
                if msg.type == 'sys':
                    print(f'【系统消息】{msg.content}')

                elif msg.type == 'friend':
                    sender = msg.sender_remark  # 这里可以将msg.sender改为msg.sender_remark，获取备注名
                    print(f'{sender.rjust(20)}：{msg.content}')
                    #chat.SendMsg('收到')
                    # 此处将msg.content传递给大模型
                    time.sleep(5)
                    client = OpenAI(
                        api_key="接口秘钥",
                        base_url="https://api.moonshot.cn/v1"
                    )
                    completion = client.chat.completions.create(
                        model="moonshot-v1-8k",
                        messages=[
                            {"role": "system",
                             "content": "提示语"},
                            {"role": "user", "content": msg.content}  # 传递提取出来的 msg_content
                        ],
                        temperature=0.7,
                    )

                    # 获取返回的内容并发送
                    content = completion.choices[0].message.content
                    #此处为`chat`而不是`wx` ！！！
                    chat.SendMsg(content)

                elif msg.type == 'self':
                    print(f'{msg.sender.ljust(20)}：{msg.content}')

                elif msg.type == 'time':
                    print(f'\n【时间消息】{msg.time}')

                elif msg.type == 'recall':
                    print(f'【撤回消息】{msg.content}')