| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546 |
- from typing import Dict, List
- from langchain_core.messages import BaseMessage, get_buffer_string
- from langchain_openai import AzureChatOpenAI
- from common.config.tokenizer_manage_config import TokenizerManage
- from models_provider.base_model_provider import MaxKBBaseModel
- def custom_get_token_ids(text: str):
- tokenizer = TokenizerManage.get_tokenizer()
- return tokenizer.encode(text)
- class AzureOpenAIImage(MaxKBBaseModel, AzureChatOpenAI):
- @staticmethod
- def is_cache_model():
- return False
- @staticmethod
- def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
- optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs)
- return AzureOpenAIImage(
- model_name=model_name,
- openai_api_key=model_credential.get('api_key'),
- azure_endpoint=model_credential.get('api_base'),
- openai_api_version=model_credential.get('api_version'),
- openai_api_type="azure",
- streaming=True,
- **optional_params,
- )
- def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
- try:
- return super().get_num_tokens_from_messages(messages)
- except Exception as e:
- tokenizer = TokenizerManage.get_tokenizer()
- return sum([len(tokenizer.encode(get_buffer_string([m]))) for m in messages])
- def get_num_tokens(self, text: str) -> int:
- try:
- return super().get_num_tokens(text)
- except Exception as e:
- tokenizer = TokenizerManage.get_tokenizer()
- return len(tokenizer.encode(text))
|
