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72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
from __future__ import annotations
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import logging
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
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from dbgpt.core import ModelRequest, ModelRequestContext
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from dbgpt.model.parameter import ProxyModelParameters
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from dbgpt.model.proxy.base import ProxyLLMClient
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from dbgpt.model.utils.token_utils import ProxyTokenizerWrapper
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if TYPE_CHECKING:
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from dbgpt.core.interface.message import BaseMessage, ModelMessage
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logger = logging.getLogger(__name__)
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class ProxyModel:
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def __init__(
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self,
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model_params: ProxyModelParameters,
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proxy_llm_client: Optional[ProxyLLMClient] = None,
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) -> None:
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self._model_params = model_params
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self._tokenizer = ProxyTokenizerWrapper()
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self.proxy_llm_client = proxy_llm_client
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def get_params(self) -> ProxyModelParameters:
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return self._model_params
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def count_token(
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self,
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messages: Union[str, BaseMessage, ModelMessage, List[ModelMessage]],
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model_name: Optional[int] = None,
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) -> int:
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"""Count token of given messages
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Args:
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messages (Union[str, BaseMessage, ModelMessage, List[ModelMessage]]): messages to count token
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model_name (Optional[int], optional): model name. Defaults to None.
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Returns:
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int: token count, -1 if failed
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"""
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return self._tokenizer.count_token(messages, model_name)
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def parse_model_request(
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params: Dict[str, Any], default_model: str, stream: bool = True
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) -> ModelRequest:
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"""Parse model request from params.
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Args:
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params (Dict[str, Any]): request params
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default_model (str): default model name
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stream (bool, optional): whether stream. Defaults to True.
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"""
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context = ModelRequestContext(
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stream=stream,
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user_name=params.get("user_name"),
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request_id=params.get("request_id"),
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)
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request = ModelRequest.build_request(
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default_model,
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messages=params["messages"],
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temperature=params.get("temperature"),
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context=context,
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max_new_tokens=params.get("max_new_tokens"),
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stop=params.get("stop"),
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top_p=params.get("top_p"),
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)
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return request
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