MaxKB/apps/models_provider/impl/anthropic_model_provider/model/llm.py
2025-04-17 18:01:33 +08:00

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# coding=utf-8
"""
@project: maxkb
@Author
@file llm.py
@date2024/4/18 15:28
@desc:
"""
from typing import List, Dict
from langchain_anthropic import ChatAnthropic
from langchain_core.messages import BaseMessage, get_buffer_string
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 AnthropicChatModel(MaxKBBaseModel, ChatAnthropic):
@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)
azure_chat_open_ai = AnthropicChatModel(
model=model_name,
anthropic_api_url=model_credential.get('api_base'),
anthropic_api_key=model_credential.get('api_key'),
**optional_params,
custom_get_token_ids=custom_get_token_ids
)
return azure_chat_open_ai
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))