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58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
# coding=utf-8
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"""
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@project: maxkb
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@Author：虎
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@file： llm.py
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@date：2024/4/18 15:28
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@desc:
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"""
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from typing import List, Dict
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from langchain_core.messages import BaseMessage, get_buffer_string
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from common.config.tokenizer_manage_config import TokenizerManage
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from models_provider.base_model_provider import MaxKBBaseModel
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from models_provider.impl.base_chat_open_ai import BaseChatOpenAI
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def custom_get_token_ids(text: str):
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tokenizer = TokenizerManage.get_tokenizer()
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return tokenizer.encode(text)
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class OpenAIChatModel(MaxKBBaseModel, BaseChatOpenAI):
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@staticmethod
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def is_cache_model():
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return False
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@staticmethod
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def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
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optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
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streaming = model_kwargs.get('streaming', True)
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if 'o1' in model_name:
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streaming = False
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chat_open_ai = OpenAIChatModel(
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model=model_name,
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openai_api_base=model_credential.get('api_base'),
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openai_api_key=model_credential.get('api_key'),
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extra_body=optional_params,
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streaming=streaming,
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custom_get_token_ids=custom_get_token_ids
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)
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return chat_open_ai
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def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
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try:
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return super().get_num_tokens_from_messages(messages)
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except Exception as e:
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tokenizer = TokenizerManage.get_tokenizer()
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return sum([len(tokenizer.encode(get_buffer_string([m]))) for m in messages])
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def get_num_tokens(self, text: str) -> int:
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try:
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return super().get_num_tokens(text)
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except Exception as e:
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tokenizer = TokenizerManage.get_tokenizer()
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return len(tokenizer.encode(text))
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