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What are your thoughts on introducing a parameter that allows us to promptly verify whether the provider supports message history? I also considered adding a parameter to indicate whether a provider can perform web searches.
140 lines
3.3 KiB
Python
140 lines
3.3 KiB
Python
from __future__ import annotations
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from asyncio import AbstractEventLoop
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from concurrent.futures import ThreadPoolExecutor
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from abc import ABC, abstractmethod
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from .helper import get_event_loop, get_cookies, format_prompt
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from ..typing import CreateResult, AsyncResult, Messages
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class BaseProvider(ABC):
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url: str
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working: bool = False
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needs_auth: bool = False
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supports_stream: bool = False
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supports_gpt_35_turbo: bool = False
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supports_gpt_4: bool = False
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supports_message_history: bool = False
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@staticmethod
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@abstractmethod
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def create_completion(
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model: str,
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messages: Messages,
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stream: bool,
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**kwargs
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) -> CreateResult:
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raise NotImplementedError()
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@classmethod
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async def create_async(
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cls,
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model: str,
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messages: Messages,
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*,
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loop: AbstractEventLoop = None,
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executor: ThreadPoolExecutor = None,
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**kwargs
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) -> str:
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if not loop:
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loop = get_event_loop()
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def create_func() -> str:
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return "".join(cls.create_completion(
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model,
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messages,
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False,
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**kwargs
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))
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return await loop.run_in_executor(
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executor,
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create_func
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)
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@classmethod
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@property
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def params(cls) -> str:
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})"
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class AsyncProvider(BaseProvider):
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@classmethod
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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stream: bool = False,
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**kwargs
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) -> CreateResult:
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loop = get_event_loop()
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coro = cls.create_async(model, messages, **kwargs)
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yield loop.run_until_complete(coro)
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@staticmethod
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@abstractmethod
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async def create_async(
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model: str,
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messages: Messages,
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**kwargs
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) -> str:
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raise NotImplementedError()
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class AsyncGeneratorProvider(AsyncProvider):
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supports_stream = True
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@classmethod
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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stream: bool = True,
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**kwargs
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) -> CreateResult:
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loop = get_event_loop()
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generator = cls.create_async_generator(
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model,
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messages,
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stream=stream,
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**kwargs
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)
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gen = generator.__aiter__()
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while True:
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try:
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yield loop.run_until_complete(gen.__anext__())
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except StopAsyncIteration:
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break
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@classmethod
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async def create_async(
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cls,
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model: str,
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messages: Messages,
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**kwargs
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) -> str:
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return "".join([
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chunk async for chunk in cls.create_async_generator(
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model,
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messages,
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stream=False,
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**kwargs
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)
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])
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@staticmethod
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@abstractmethod
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def create_async_generator(
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model: str,
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messages: Messages,
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**kwargs
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) -> AsyncResult:
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raise NotImplementedError()
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