|
- from bot.session_manager import Session
- from common.log import logger
-
- """
- e.g.
- [
- {"role": "system", "content": "You are a helpful assistant."},
- {"role": "user", "content": "Who won the world series in 2020?"},
- {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
- {"role": "user", "content": "Where was it played?"}
- ]
- """
-
-
- class MinimaxSession(Session):
- def __init__(self, session_id, system_prompt=None, model="minimax"):
- super().__init__(session_id, system_prompt)
- self.model = model
- # self.reset()
-
- def add_query(self, query):
- user_item = {"sender_type": "USER", "sender_name": self.session_id, "text": query}
- self.messages.append(user_item)
-
- def add_reply(self, reply):
- assistant_item = {"sender_type": "BOT", "sender_name": "MM智能助理", "text": reply}
- self.messages.append(assistant_item)
-
- def discard_exceeding(self, max_tokens, cur_tokens=None):
- precise = True
- try:
- cur_tokens = self.calc_tokens()
- except Exception as e:
- precise = False
- if cur_tokens is None:
- raise e
- logger.debug("Exception when counting tokens precisely for query: {}".format(e))
- while cur_tokens > max_tokens:
- if len(self.messages) > 2:
- self.messages.pop(1)
- elif len(self.messages) == 2 and self.messages[1]["sender_type"] == "BOT":
- self.messages.pop(1)
- if precise:
- cur_tokens = self.calc_tokens()
- else:
- cur_tokens = cur_tokens - max_tokens
- break
- elif len(self.messages) == 2 and self.messages[1]["sender_type"] == "USER":
- logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
- break
- else:
- logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(max_tokens, cur_tokens, len(self.messages)))
- break
- if precise:
- cur_tokens = self.calc_tokens()
- else:
- cur_tokens = cur_tokens - max_tokens
- return cur_tokens
-
- def calc_tokens(self):
- return num_tokens_from_messages(self.messages, self.model)
-
-
- def num_tokens_from_messages(messages, model):
- """Returns the number of tokens used by a list of messages."""
- # 官方token计算规则:"对于中文文本来说,1个token通常对应一个汉字;对于英文文本来说,1个token通常对应3至4个字母或1个单词"
- # 详情请产看文档:https://help.aliyun.com/document_detail/2586397.html
- # 目前根据字符串长度粗略估计token数,不影响正常使用
- tokens = 0
- for msg in messages:
- tokens += len(msg["text"])
- return tokens
|