mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-03-03 00:40:45 +08:00
@@ -61,5 +61,9 @@ def create_bot(bot_type):
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from bot.zhipuai.zhipuai_bot import ZHIPUAIBot
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return ZHIPUAIBot()
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elif bot_type == const.MOONSHOT:
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from bot.moonshot.moonshot_bot import MoonshotBot
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return MoonshotBot()
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raise RuntimeError
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143
bot/moonshot/moonshot_bot.py
Normal file
143
bot/moonshot/moonshot_bot.py
Normal file
@@ -0,0 +1,143 @@
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# encoding:utf-8
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import time
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import openai
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import openai.error
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from bot.bot import Bot
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from bot.session_manager import SessionManager
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from bridge.context import ContextType
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from bridge.reply import Reply, ReplyType
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from common.log import logger
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from config import conf, load_config
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from .moonshot_session import MoonshotSession
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import requests
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# ZhipuAI对话模型API
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class MoonshotBot(Bot):
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def __init__(self):
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super().__init__()
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self.sessions = SessionManager(MoonshotSession, model=conf().get("model") or "moonshot-v1-128k")
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self.args = {
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"model": conf().get("model") or "moonshot-v1-128k", # 对话模型的名称
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"temperature": conf().get("temperature", 0.3), # 如果设置,值域须为 [0, 1] 我们推荐 0.3,以达到较合适的效果。
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"top_p": conf().get("top_p", 1.0), # 使用默认值
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}
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self.api_key = conf().get("moonshot_api_key")
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self.base_url = conf().get("moonshot_base_url", "https://api.moonshot.cn/v1/chat/completions")
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def reply(self, query, context=None):
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# acquire reply content
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if context.type == ContextType.TEXT:
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logger.info("[MOONSHOT_AI] query={}".format(query))
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session_id = context["session_id"]
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reply = None
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clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
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if query in clear_memory_commands:
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self.sessions.clear_session(session_id)
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reply = Reply(ReplyType.INFO, "记忆已清除")
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elif query == "#清除所有":
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self.sessions.clear_all_session()
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reply = Reply(ReplyType.INFO, "所有人记忆已清除")
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elif query == "#更新配置":
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load_config()
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reply = Reply(ReplyType.INFO, "配置已更新")
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if reply:
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return reply
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session = self.sessions.session_query(query, session_id)
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logger.debug("[MOONSHOT_AI] session query={}".format(session.messages))
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model = context.get("moonshot_model")
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new_args = self.args.copy()
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if model:
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new_args["model"] = model
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# if context.get('stream'):
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# # reply in stream
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# return self.reply_text_stream(query, new_query, session_id)
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reply_content = self.reply_text(session, args=new_args)
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logger.debug(
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"[MOONSHOT_AI] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
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session.messages,
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session_id,
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reply_content["content"],
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reply_content["completion_tokens"],
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)
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)
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if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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elif reply_content["completion_tokens"] > 0:
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self.sessions.session_reply(reply_content["content"], session_id, reply_content["total_tokens"])
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reply = Reply(ReplyType.TEXT, reply_content["content"])
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else:
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reply = Reply(ReplyType.ERROR, reply_content["content"])
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logger.debug("[MOONSHOT_AI] reply {} used 0 tokens.".format(reply_content))
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return reply
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else:
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reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
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return reply
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def reply_text(self, session: MoonshotSession, args=None, retry_count=0) -> dict:
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"""
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call openai's ChatCompletion to get the answer
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:param session: a conversation session
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:param session_id: session id
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:param retry_count: retry count
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:return: {}
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"""
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try:
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer " + self.api_key
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}
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body = args
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body["messages"] = session.messages
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# logger.debug("[MOONSHOT_AI] response={}".format(response))
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# logger.info("[MOONSHOT_AI] reply={}, total_tokens={}".format(response.choices[0]['message']['content'], response["usage"]["total_tokens"]))
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res = requests.post(
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self.base_url,
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headers=headers,
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json=body
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)
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if res.status_code == 200:
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response = res.json()
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return {
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"total_tokens": response["usage"]["total_tokens"],
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"completion_tokens": response["usage"]["completion_tokens"],
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"content": response["choices"][0]["message"]["content"]
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}
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else:
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response = res.json()
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error = response.get("error")
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logger.error(f"[MOONSHOT_AI] chat failed, status_code={res.status_code}, "
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f"msg={error.get('message')}, type={error.get('type')}")
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result = {"completion_tokens": 0, "content": "提问太快啦,请休息一下再问我吧"}
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need_retry = False
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if res.status_code >= 500:
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# server error, need retry
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logger.warn(f"[MOONSHOT_AI] do retry, times={retry_count}")
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need_retry = retry_count < 2
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elif res.status_code == 401:
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result["content"] = "授权失败,请检查API Key是否正确"
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elif res.status_code == 429:
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result["content"] = "请求过于频繁,请稍后再试"
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need_retry = retry_count < 2
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else:
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need_retry = False
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if need_retry:
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time.sleep(3)
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return self.reply_text(session, args, retry_count + 1)
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else:
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return result
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except Exception as e:
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logger.exception(e)
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need_retry = retry_count < 2
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result = {"completion_tokens": 0, "content": "我现在有点累了,等会再来吧"}
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if need_retry:
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return self.reply_text(session, args, retry_count + 1)
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else:
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return result
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51
bot/moonshot/moonshot_session.py
Normal file
51
bot/moonshot/moonshot_session.py
Normal file
@@ -0,0 +1,51 @@
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from bot.session_manager import Session
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from common.log import logger
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class MoonshotSession(Session):
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def __init__(self, session_id, system_prompt=None, model="moonshot-v1-128k"):
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super().__init__(session_id, system_prompt)
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self.model = model
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self.reset()
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def discard_exceeding(self, max_tokens, cur_tokens=None):
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precise = True
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try:
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cur_tokens = self.calc_tokens()
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except Exception as e:
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precise = False
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if cur_tokens is None:
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raise e
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logger.debug("Exception when counting tokens precisely for query: {}".format(e))
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while cur_tokens > max_tokens:
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if len(self.messages) > 2:
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self.messages.pop(1)
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elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
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self.messages.pop(1)
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if precise:
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cur_tokens = self.calc_tokens()
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else:
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cur_tokens = cur_tokens - max_tokens
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break
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elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
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logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
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break
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else:
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logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens,
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len(self.messages)))
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break
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if precise:
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cur_tokens = self.calc_tokens()
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else:
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cur_tokens = cur_tokens - max_tokens
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return cur_tokens
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def calc_tokens(self):
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return num_tokens_from_messages(self.messages, self.model)
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def num_tokens_from_messages(messages, model):
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tokens = 0
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for msg in messages:
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tokens += len(msg["content"])
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return tokens
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@@ -48,6 +48,9 @@ class Bridge(object):
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if model_type in ["claude"]:
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self.btype["chat"] = const.CLAUDEAI
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if model_type in ["moonshot-v1-8k", "moonshot-v1-32k", "moonshot-v1-128k"]:
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self.btype["chat"] = const.MOONSHOT
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self.bots = {}
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self.chat_bots = {}
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# 模型对应的接口
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@@ -157,6 +157,8 @@ available_setting = {
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# 智谱AI 平台配置
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"zhipu_ai_api_key": "",
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"zhipu_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
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"moonshot_api_key": "",
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"moonshot_base_url":"https://api.moonshot.cn/v1/chat/completions",
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# LinkAI平台配置
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"use_linkai": False,
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"linkai_api_key": "",
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