加入了新的模型，使用更强的模型玩
This commit is contained in:
liuwei
+24
-18
@@ -36,42 +36,38 @@ logging:
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root:
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level: INFO
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handlers: [console, info_file_handler, error_file_handler]
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handlers: [ console, info_file_handler, error_file_handler ]
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groups:
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enable: [45317011307@chatroom,49571962306@chatroom,43687793133@chatroom] # 允许响应的群 roomId，大概长这样：2xxxxxxxxx3@chatroom
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enable: [ 45317011307@chatroom,49571962306@chatroom,43687793133@chatroom ] # 允许响应的群 roomId，大概长这样：2xxxxxxxxx3@chatroom
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news:
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receivers: [45317011307@chatroom,49571962306@chatroom,43687793133@chatroom] # 定时新闻接收人（roomid 或者 wxid）
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receivers: [ 45317011307@chatroom,49571962306@chatroom,43687793133@chatroom ] # 定时新闻接收人（roomid 或者 wxid）
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report_reminder:
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receivers: [] # 定时日报周报月报提醒（roomid 或者 wxid）
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receivers: [ ] # 定时日报周报月报提醒（roomid 或者 wxid）
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chatgpt: # -----chatgpt配置这行不填-----
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key: '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'# 填写你 ChatGPT 的 key
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chatgpt: # -----chatgpt配置这行不填-----
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key: # 填写你 ChatGPT 的 key
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api: https://api.openai.com/v1 # 如果你不知道这是干嘛的，就不要改
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model: gpt-3.5-turbo
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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
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prompt: '你是一个信息归纳分析工程师，你叫小牛，你根据提问会搜索相关资料。经过信息精炼之后返回内容。
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请回复时以以下格式进行返回：
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- 问题：回顾提问内容
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- 问题评价：分析问题的提出角度，如（财经、彩票、房产、股票、家居、教育、科技、社会、时尚、时政、体育、星座、游戏、娱乐）等
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- 总结：经过200个字以内的优化返回' # 根据需要对角色进行设定
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prompt: 你是智能聊天机器人，你叫 wcferry # 根据需要对角色进行设定
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chatglm: # -----chatglm配置这行不填-----
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chatglm: # -----chatglm配置这行不填-----
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key: sk-012345678901234567890123456789012345678901234567 # 这个应该不用动
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api: http://localhost:8000/v1 # 根据自己的chatglm地址修改
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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
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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
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file_path: F:/Pictures/temp #设定生成图片和代码使用的文件夹路径
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tigerbot: # -----tigerbot配置这行不填-----
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tigerbot: # -----tigerbot配置这行不填-----
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key: # key
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model: # tigerbot-7b-sft
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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-----
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cookie: 'di_c_mti=43ec310c-b357-69d2-bee6-88ab435fd53c; d_d_app_ver=1.4.0; daas_st={%22sdk_ver%22:%221.3.9%22%2C%22status%22:%220%22}; appid=150b4dfebe; d_d_ci=1630e780-7a48-6218-a830-c5e010a79ce7; account_id=19737093603; ui=19737093603; Hm_lvt_fe740601c79b0c00b6d5458d146aa5ef=1734055597; HMACCOUNT=5A31BCBD7768359B; _gcl_au=1.1.215462428.1734055660; _gid=GA1.2.1466291769.1734055660; gr_user_id=f091018a-96fa-4924-8cff-7c966125acbc; 8473744dbcf62d60_gr_session_id=e47c497c-0e6f-4ef5-894e-6871bd6b6738; 8473744dbcf62d60_gr_session_id_sent_vst=e47c497c-0e6f-4ef5-894e-6871bd6b6738; _clck=83pjx%7C2%7Cfro%7C0%7C1808; ssoSessionId=51e2f966-5d97-4d34-970f-4f85349c8fbc; _ga_0KHV9JM0VW=GS1.1.1734055659.1.1.1734055751.60.0.0; _ga=GA1.2.942876758.1734055660; Hm_lpvt_fe740601c79b0c00b6d5458d146aa5ef=1734055752; _clsk=mb13en%7C1734055752782%7C2%7C1%7Cu.clarity.ms%2Fcollect; _uetsid=110d3500b8f411efab484704728f4bef; _uetvid=110d4ac0b8f411ef8e340ba70a661722; clientType=2; gt_local_id=ECXGmUamQt4vFnWW51Qc/ab09lpZc0qUDWBG3vZJNnvd2a1UuNMIwA=='
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fd: 853568
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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-----
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cookie: 'di_c_mti=43ec310c-b357-69d2-bee6-88ab435fd53c; d_d_app_ver=1.4.0; daas_st={%22sdk_ver%22:%221.3.9%22%2C%22status%22:%220%22}; appid=150b4dfebe; d_d_ci=1630e780-7a48-6218-a830-c5e010a79ce7; account_id=19737093603; ui=19737093603; Hm_lvt_fe740601c79b0c00b6d5458d146aa5ef=1734055597; HMACCOUNT=5A31BCBD7768359B; _gcl_au=1.1.215462428.1734055660; _gid=GA1.2.1466291769.1734055660; gr_user_id=f091018a-96fa-4924-8cff-7c966125acbc; 8473744dbcf62d60_gr_session_id=e47c497c-0e6f-4ef5-894e-6871bd6b6738; 8473744dbcf62d60_gr_session_id_sent_vst=e47c497c-0e6f-4ef5-894e-6871bd6b6738; _clck=83pjx%7C2%7Cfro%7C0%7C1808; ssoSessionId=51e2f966-5d97-4d34-970f-4f85349c8fbc; _ga_0KHV9JM0VW=GS1.1.1734055659.1.1.1734055751.60.0.0; _ga=GA1.2.942876758.1734055660; Hm_lpvt_fe740601c79b0c00b6d5458d146aa5ef=1734055752; _clsk=mb13en%7C1734055752782%7C2%7C1%7Cu.clarity.ms%2Fcollect; _uetsid=110d3500b8f411efab484704728f4bef; _uetvid=110d4ac0b8f411ef8e340ba70a661722; clientType=2; gt_local_id=ECXGmUamQt4vFnWW51Qc/ab09lpZc0qUDWBG3vZJNnvd2a1UuNMIwA=='
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fd: 853568
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GtToken: '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'
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prompt: '你是一个信息归纳分析工程师，你根据提问会搜索相关资料。经过信息精炼之后返回内容。
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请回复时以以下格式进行返回：
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@@ -88,6 +84,16 @@ bard: # -----bard配置这行不填-----
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# 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.
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prompt: You am a large language model, trained by Google.
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zhipu: # -----zhipu配置这行不填-----
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zhipu: # -----zhipu配置这行不填-----
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api_key: #api key
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model: # 模型类型
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model: # 模型类型
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claude:
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key: 46a5674a-e978-491b-a810-5d54605f2c36
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api: http://127.0.0.1:8080/v1/chat/completions # 如果你不知道这是干嘛的，就不要改
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model: windsurf/claude-3-5-sonnet
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prompt: '你是一个信息归纳分析工程师，你根据提问会搜索相关资料。经过信息精炼之后返回内容。
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请回复时以以下格式进行返回：
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- 问题：回顾提问内容
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- 问题评价：分析问题的提出角度，如（财经、彩票、房产、股票、家居、教育、科技、社会、时尚、时政、体育、星座、游戏、娱乐）等
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- 总结：经过200个字以内的优化返回' # 根据需要对角色进行设定
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