Files
LangBot/pkg/provider/modelmgr/requester.py
2025-03-25 21:37:20 +08:00

65 lines
1.7 KiB
Python

from __future__ import annotations
import abc
import typing
from ...core import app
from ...core import entities as core_entities
from .. import entities as llm_entities
from . import entities as modelmgr_entities
from ..tools import entities as tools_entities
class LLMAPIRequester(metaclass=abc.ABCMeta):
"""LLM API请求器
"""
name: str = None
ap: app.Application
default_config: dict[str, typing.Any] = {}
requester_cfg: dict[str, typing.Any] = {}
def __init__(self, ap: app.Application, config: dict[str, typing.Any]):
self.ap = ap
self.requester_cfg = {
**self.default_config
}
self.requester_cfg.update(config)
async def initialize(self):
pass
async def preprocess(
self,
query: core_entities.Query,
):
"""预处理
在这里处理特定API对Query对象的兼容性问题。
"""
pass
@abc.abstractmethod
async def call(
self,
query: core_entities.Query,
model: modelmgr_entities.LLMModelInfo,
messages: typing.List[llm_entities.Message],
funcs: typing.List[tools_entities.LLMFunction] = None,
extra_args: dict[str, typing.Any] = {},
) -> llm_entities.Message:
"""调用API
Args:
model (modelmgr_entities.LLMModelInfo): 使用的模型信息
messages (typing.List[llm_entities.Message]): 消息对象列表
funcs (typing.List[tools_entities.LLMFunction], optional): 使用的工具函数列表. Defaults to None.
extra_args (dict[str, typing.Any], optional): 额外的参数. Defaults to {}.
Returns:
llm_entities.Message: 返回消息对象
"""
pass