logging: version: 1 disable_existing_loggers: False formatters: simple: format: "%(asctime)s %(message)s" datefmt: "%Y-%m-%d %H:%M:%S" error: format: "%(asctime)s %(name)s %(levelname)s %(filename)s::%(funcName)s[%(lineno)d]:%(message)s" handlers: console: class: logging.StreamHandler level: INFO formatter: simple stream: ext://sys.stdout info_file_handler: class: logging.handlers.RotatingFileHandler level: INFO formatter: simple filename: wx_info.log maxBytes: 10485760 # 10MB backupCount: 20 encoding: utf8 error_file_handler: class: logging.handlers.RotatingFileHandler level: ERROR formatter: error filename: wx_error.log maxBytes: 10485760 # 10MB backupCount: 20 encoding: utf8 root: level: INFO handlers: [console, info_file_handler, error_file_handler] groups: enable: [] # 允许响应的群 roomId,大概长这样:2xxxxxxxxx3@chatroom news: receivers: [] # 定时新闻接收人(roomid 或者 wxid) report_reminder: receivers: [] # 定时日报周报月报提醒(roomid 或者 wxid) chatgpt: # -----chatgpt配置这行不填----- key: # 填写你 ChatGPT 的 key api: https://api.openai.com/v1 # 如果你不知道这是干嘛的,就不要改 model: gpt-3.5-turbo proxy: # 如果你在国内,你可能需要魔法,大概长这样:http://域名或者IP地址:端口号 prompt: 你是智能聊天机器人,你叫 wcferry # 根据需要对角色进行设定 chatglm: # -----chatglm配置这行不填----- key: sk-012345678901234567890123456789012345678901234567 # 这个应该不用动 api: http://localhost:8000/v1 # 根据自己的chatglm地址修改 proxy: # 如果你在国内,你可能需要魔法,大概长这样:http://域名或者IP地址:端口号 prompt: 你是智能聊天机器人,你叫小薇 # 根据需要对角色进行设定 file_path: F:/Pictures/temp #设定生成图片和代码使用的文件夹路径 tigerbot: # -----tigerbot配置这行不填----- key: # key model: # tigerbot-7b-sft xinghuo_web: # -----讯飞星火web模式api配置这行不填 抓取方式详见文档:https://www.bilibili.com/read/cv27066577----- cookie: # cookie fd: # fd GtToken: # GtToken prompt: 你是智能聊天机器人,你叫 wcferry。请用这个角色回答我的问题 # 根据需要对角色进行设定 bard: # -----bard配置这行不填----- api_key: # api-key 创建地址:https://ai.google.dev/pricing?hl=en,创建后复制过来即可 model_name: gemini-pro # 新模型上线后可以选择模型 proxy: http://127.0.0.1:7890 # 如果你在国内,你可能需要魔法,大概长这样:http://域名或者IP地址:端口号 # 提示词尽可能用英文,bard对中文提示词的效果不是很理想,下方提示词为英语老师的示例,请按实际需要修改,默认设置的提示词为谷歌创造的AI大语言模型 # I want you to act as a spoken English teacher and improver. I will speak to you in English and you will reply to me in English to practice my spoken English. I want you to keep your reply neat, limiting the reply to 100 words. I want you to strictly correct my grammar mistakes, typos, and factual errors. I want you to ask me a question in your reply. Now let's start practicing, you could ask me a question first. Remember, I want you to strictly correct my grammar mistakes, typos, and factual errors. prompt: You am a large language model, trained by Google. zhipu: # -----zhipu配置这行不填----- api_key: #api key model: # 模型类型