You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
gpt4free/g4f/__init__.py

250 lines
11 KiB
Python

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