mirror of
https://github.com/xtekky/gpt4free.git
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84812b9632
Improve read access_token in OpenaiChat Add IterProvider Add system message support in FlowGpt Filter none values in new Client
247 lines
11 KiB
Python
247 lines
11 KiB
Python
from __future__ import annotations
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import os
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from .errors import *
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from .models import Model, ModelUtils
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from .Provider import AsyncGeneratorProvider, ProviderUtils
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from .typing import Messages, CreateResult, AsyncResult, Union
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from .cookies import get_cookies, set_cookies
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from . import debug, version
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from .providers.types import BaseRetryProvider, ProviderType
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from .providers.base_provider import ProviderModelMixin
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from .providers.retry_provider import IterProvider
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def get_model_and_provider(model : Union[Model, str],
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provider : Union[ProviderType, str, None],
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stream : bool,
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ignored : list[str] = None,
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ignore_working: bool = False,
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ignore_stream: bool = False,
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**kwargs) -> tuple[str, ProviderType]:
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"""
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Retrieves the model and provider based on input parameters.
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Args:
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model (Union[Model, str]): The model to use, either as an object or a string identifier.
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provider (Union[ProviderType, str, None]): The provider to use, either as an object, a string identifier, or None.
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stream (bool): Indicates if the operation should be performed as a stream.
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ignored (list[str], optional): List of provider names to be ignored.
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ignore_working (bool, optional): If True, ignores the working status of the provider.
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ignore_stream (bool, optional): If True, ignores the streaming capability of the provider.
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Returns:
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tuple[str, ProviderType]: A tuple containing the model name and the provider type.
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Raises:
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ProviderNotFoundError: If the provider is not found.
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ModelNotFoundError: If the model is not found.
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ProviderNotWorkingError: If the provider is not working.
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StreamNotSupportedError: If streaming is not supported by the provider.
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"""
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if debug.version_check:
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debug.version_check = False
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version.utils.check_version()
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if isinstance(provider, str):
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if " " in provider:
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provider_list = [ProviderUtils.convert[p] for p in provider.split() if p in ProviderUtils.convert]
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if not provider_list:
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raise ProviderNotFoundError(f'Providers not found: {provider}')
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provider = IterProvider(provider_list)
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elif provider in ProviderUtils.convert:
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provider = ProviderUtils.convert[provider]
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else:
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raise ProviderNotFoundError(f'Provider not found: {provider}')
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if isinstance(model, str):
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if model in ModelUtils.convert:
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model = ModelUtils.convert[model]
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if not provider:
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if isinstance(model, str):
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raise ModelNotFoundError(f'Model not found: {model}')
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provider = model.best_provider
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if not provider:
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raise ProviderNotFoundError(f'No provider found for model: {model}')
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if isinstance(model, Model):
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model = model.name
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if ignored and isinstance(provider, BaseRetryProvider):
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provider.providers = [p for p in provider.providers if p.__name__ not in ignored]
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if not ignore_working and not provider.working:
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raise ProviderNotWorkingError(f'{provider.__name__} is not working')
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if not ignore_stream and not provider.supports_stream and stream:
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raise StreamNotSupportedError(f'{provider.__name__} does not support "stream" argument')
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if debug.logging:
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if model:
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print(f'Using {provider.__name__} provider and {model} model')
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else:
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print(f'Using {provider.__name__} provider')
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debug.last_provider = provider
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debug.last_model = model
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return model, provider
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class ChatCompletion:
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@staticmethod
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def create(model : Union[Model, str],
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messages : Messages,
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provider : Union[ProviderType, str, None] = None,
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stream : bool = False,
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auth : Union[str, None] = None,
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ignored : list[str] = None,
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ignore_working: bool = False,
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ignore_stream: bool = False,
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patch_provider: callable = None,
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**kwargs) -> Union[CreateResult, str]:
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"""
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Creates a chat completion using the specified model, provider, and messages.
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Args:
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model (Union[Model, str]): The model to use, either as an object or a string identifier.
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messages (Messages): The messages for which the completion is to be created.
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provider (Union[ProviderType, str, None], optional): The provider to use, either as an object, a string identifier, or None.
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stream (bool, optional): Indicates if the operation should be performed as a stream.
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auth (Union[str, None], optional): Authentication token or credentials, if required.
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ignored (list[str], optional): List of provider names to be ignored.
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ignore_working (bool, optional): If True, ignores the working status of the provider.
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ignore_stream (bool, optional): If True, ignores the stream and authentication requirement checks.
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patch_provider (callable, optional): Function to modify the provider.
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**kwargs: Additional keyword arguments.
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Returns:
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Union[CreateResult, str]: The result of the chat completion operation.
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Raises:
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AuthenticationRequiredError: If authentication is required but not provided.
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ProviderNotFoundError, ModelNotFoundError: If the specified provider or model is not found.
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ProviderNotWorkingError: If the provider is not operational.
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StreamNotSupportedError: If streaming is requested but not supported by the provider.
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"""
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model, provider = get_model_and_provider(
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model, provider, stream,
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ignored, ignore_working,
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ignore_stream or kwargs.get("ignore_stream_and_auth")
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)
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if auth:
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kwargs['auth'] = auth
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if "proxy" not in kwargs:
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proxy = os.environ.get("G4F_PROXY")
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if proxy:
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kwargs['proxy'] = proxy
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if patch_provider:
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provider = patch_provider(provider)
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result = provider.create_completion(model, messages, stream, **kwargs)
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return result if stream else ''.join([str(chunk) for chunk in result])
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@staticmethod
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def create_async(model : Union[Model, str],
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messages : Messages,
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provider : Union[ProviderType, str, None] = None,
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stream : bool = False,
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ignored : list[str] = None,
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patch_provider: callable = None,
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**kwargs) -> Union[AsyncResult, str]:
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"""
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Asynchronously creates a completion using the specified model and provider.
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Args:
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model (Union[Model, str]): The model to use, either as an object or a string identifier.
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messages (Messages): Messages to be processed.
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provider (Union[ProviderType, str, None]): The provider to use, either as an object, a string identifier, or None.
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stream (bool): Indicates if the operation should be performed as a stream.
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ignored (list[str], optional): List of provider names to be ignored.
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patch_provider (callable, optional): Function to modify the provider.
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**kwargs: Additional keyword arguments.
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Returns:
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Union[AsyncResult, str]: The result of the asynchronous chat completion operation.
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Raises:
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StreamNotSupportedError: If streaming is requested but not supported by the provider.
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"""
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model, provider = get_model_and_provider(model, provider, False, ignored)
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if stream:
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if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
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return provider.create_async_generator(model, messages, **kwargs)
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raise StreamNotSupportedError(f'{provider.__name__} does not support "stream" argument in "create_async"')
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if patch_provider:
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provider = patch_provider(provider)
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return provider.create_async(model, messages, **kwargs)
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class Completion:
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@staticmethod
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def create(model : Union[Model, str],
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prompt : str,
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provider : Union[ProviderType, None] = None,
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stream : bool = False,
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ignored : list[str] = None, **kwargs) -> Union[CreateResult, str]:
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"""
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Creates a completion based on the provided model, prompt, and provider.
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Args:
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model (Union[Model, str]): The model to use, either as an object or a string identifier.
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prompt (str): The prompt text for which the completion is to be created.
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provider (Union[ProviderType, None], optional): The provider to use, either as an object or None.
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stream (bool, optional): Indicates if the operation should be performed as a stream.
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ignored (list[str], optional): List of provider names to be ignored.
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**kwargs: Additional keyword arguments.
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Returns:
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Union[CreateResult, str]: The result of the completion operation.
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Raises:
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ModelNotAllowedError: If the specified model is not allowed for use with this method.
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"""
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allowed_models = [
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'code-davinci-002',
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'text-ada-001',
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'text-babbage-001',
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'text-curie-001',
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'text-davinci-002',
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'text-davinci-003'
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]
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if model not in allowed_models:
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raise ModelNotAllowedError(f'Can\'t use {model} with Completion.create()')
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model, provider = get_model_and_provider(model, provider, stream, ignored)
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result = provider.create_completion(model, [{"role": "user", "content": prompt}], stream, **kwargs)
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return result if stream else ''.join(result)
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def get_last_provider(as_dict: bool = False) -> Union[ProviderType, dict[str, str]]:
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"""
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Retrieves the last used provider.
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Args:
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as_dict (bool, optional): If True, returns the provider information as a dictionary.
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Returns:
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Union[ProviderType, dict[str, str]]: The last used provider, either as an object or a dictionary.
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"""
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last = debug.last_provider
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if isinstance(last, BaseRetryProvider):
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last = last.last_provider
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if last and as_dict:
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return {
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"name": last.__name__,
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"url": last.url,
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"model": debug.last_model,
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"models": last.models if isinstance(last, ProviderModelMixin) else []
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}
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return last |