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feb83c168b
* New minimum requirements * Add ConversationStyleOptionSets to Bing * Add image.ImageRequest * Improve python version support * Improve unittests
117 lines
3.5 KiB
Python
117 lines
3.5 KiB
Python
from __future__ import annotations
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from abc import ABC, abstractmethod
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from typing import Union, List, Dict, Type
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from .typing import Messages, CreateResult
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class BaseProvider(ABC):
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"""
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Abstract base class for a provider.
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Attributes:
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url (str): URL of the provider.
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working (bool): Indicates if the provider is currently working.
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needs_auth (bool): Indicates if the provider needs authentication.
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supports_stream (bool): Indicates if the provider supports streaming.
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supports_gpt_35_turbo (bool): Indicates if the provider supports GPT-3.5 Turbo.
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supports_gpt_4 (bool): Indicates if the provider supports GPT-4.
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supports_message_history (bool): Indicates if the provider supports message history.
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params (str): List parameters for the provider.
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"""
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url: str = None
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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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params: str
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@classmethod
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@abstractmethod
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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,
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**kwargs
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) -> CreateResult:
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"""
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Create a completion with the given parameters.
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Args:
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model (str): The model to use.
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messages (Messages): The messages to process.
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stream (bool): Whether to use streaming.
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**kwargs: Additional keyword arguments.
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Returns:
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CreateResult: The result of the creation process.
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"""
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raise NotImplementedError()
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@classmethod
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@abstractmethod
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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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"""
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Asynchronously create a completion with the given parameters.
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Args:
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model (str): The model to use.
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messages (Messages): The messages to process.
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**kwargs: Additional keyword arguments.
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Returns:
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str: The result of the creation process.
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"""
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raise NotImplementedError()
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@classmethod
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def get_dict(cls) -> Dict[str, str]:
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"""
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Get a dictionary representation of the provider.
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Returns:
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Dict[str, str]: A dictionary with provider's details.
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"""
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return {'name': cls.__name__, 'url': cls.url}
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class BaseRetryProvider(BaseProvider):
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"""
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Base class for a provider that implements retry logic.
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Attributes:
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providers (List[Type[BaseProvider]]): List of providers to use for retries.
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shuffle (bool): Whether to shuffle the providers list.
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exceptions (Dict[str, Exception]): Dictionary of exceptions encountered.
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last_provider (Type[BaseProvider]): The last provider used.
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"""
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__name__: str = "RetryProvider"
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supports_stream: bool = True
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def __init__(
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self,
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providers: List[Type[BaseProvider]],
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shuffle: bool = True
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) -> None:
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"""
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Initialize the BaseRetryProvider.
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Args:
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providers (List[Type[BaseProvider]]): List of providers to use.
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shuffle (bool): Whether to shuffle the providers list.
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"""
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self.providers = providers
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self.shuffle = shuffle
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self.working = True
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self.exceptions: Dict[str, Exception] = {}
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self.last_provider: Type[BaseProvider] = None
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ProviderType = Union[Type[BaseProvider], BaseRetryProvider] |