gpt4free/g4f/Provider/__init__.py
kqlio67 bb9132bcb4
Updating provider documentation and small fixes in providers (#2469)
* refactor(g4f/Provider/Airforce.py): improve model handling and filtering

- Add hidden_models set to exclude specific models
- Add evil alias for uncensored model handling
- Extend filtering for model-specific response tokens
- Add response buffering for streamed content
- Update model fetching with error handling

* refactor(g4f/Provider/Blackbox.py): improve caching and model handling

- Add caching system for validated values with file-based storage
- Rename 'flux' model to 'ImageGeneration' and update references
- Add temperature, top_p and max_tokens parameters to generator
- Simplify HTTP headers and remove redundant options
- Add model alias mapping for ImageGeneration
- Add file system utilities for cache management

* feat(g4f/Provider/RobocodersAPI.py): add caching and error handling

- Add file-based caching system for access tokens and sessions
- Add robust error handling with specific error messages
- Add automatic dialog continuation on resource limits
- Add HTML parsing with BeautifulSoup for token extraction
- Add debug logging for error tracking
- Add timeout configuration for API requests

* refactor(g4f/Provider/DarkAI.py): update DarkAI default model and aliases

- Change default model from llama-3-405b to llama-3-70b
- Remove llama-3-405b from supported models list
- Remove llama-3.1-405b from model aliases

* feat(g4f/Provider/Blackbox2.py): add image generation support

- Add image model 'flux' with dedicated API endpoint
- Refactor generator to support both text and image outputs
- Extract headers into reusable static method
- Add type hints for AsyncGenerator return type
- Split generation logic into _generate_text and _generate_image methods
- Add ImageResponse handling for image generation results

BREAKING CHANGE: create_async_generator now returns AsyncGenerator instead of AsyncResult

* refactor(g4f/Provider/ChatGptEs.py): update ChatGptEs model configuration

- Update models list to include gpt-3.5-turbo
- Remove chatgpt-4o-latest from supported models
- Remove model_aliases mapping for gpt-4o

* feat(g4f/Provider/DeepInfraChat.py): add Accept-Language header support

- Add Accept-Language header for internationalization
- Maintain existing header configuration
- Improve request compatibility with language preferences

* refactor(g4f/Provider/needs_auth/Gemini.py): add ProviderModelMixin inheritance

- Add ProviderModelMixin to class inheritance
- Import ProviderModelMixin from base_provider
- Move BaseConversation import to base_provider imports

* refactor(g4f/Provider/Liaobots.py): update model details and aliases

- Add version suffix to o1 model IDs
- Update model aliases for o1-preview and o1-mini
- Standardize version format across model definitions

* refactor(g4f/Provider/PollinationsAI.py): enhance model support and generation

- Split generation logic into dedicated image/text methods
- Add additional text models including sur and claude
- Add width/height parameters for image generation
- Add model existence validation
- Add hasattr checks for model lists initialization

* chore(gitignore): add provider cache directory

- Add g4f/Provider/.cache to gitignore patterns

* refactor(g4f/Provider/ReplicateHome.py): update model configuration

- Update default model to gemma-2b-it
- Add default_image_model configuration
- Remove llava-13b from supported models
- Simplify request headers

* feat(g4f/models.py): expand provider and model support

- Add new providers DarkAI and PollinationsAI
- Add new models for Mistral, Flux and image generation
- Update provider lists for existing models
- Add P1 and Evil models with experimental providers

BREAKING CHANGE: Remove llava-13b model support

* refactor(Airforce): Update type hint for split_message return

- Change return type of  from  to  for consistency with import.
- Maintain overall functionality and structure of the  class.
- Ensure compatibility with type hinting standards in Python.

* refactor(g4f/Provider/Airforce.py): Update type hint for split_message return

- Change return type of 'split_message' from 'list[str]' to 'List[str]' for consistency with import.
- Maintain overall functionality and structure of the 'Airforce' class.
- Ensure compatibility with type hinting standards in Python.

* feat(g4f/Provider/RobocodersAPI.py): Add support for optional BeautifulSoup dependency

- Introduce a check for the BeautifulSoup library and handle its absence gracefully.
- Raise a  if BeautifulSoup is not installed, prompting the user to install it.
- Remove direct import of BeautifulSoup to avoid import errors when the library is missing.

* fix: Updating provider documentation and small fixes in providers

* Disabled the provider (RobocodersAPI)

* Fix: Conflicting file g4f/models.py

* Update g4f/models.py g4f/Provider/Airforce.py

* Update docs/providers-and-models.md g4f/models.py g4f/Provider/Airforce.py g4f/Provider/PollinationsAI.py

* Update docs/providers-and-models.md

* Update .gitignore

* Update g4f/models.py

* Update g4f/Provider/PollinationsAI.py

---------

Co-authored-by: kqlio67 <>
2024-12-09 16:52:25 +01:00

61 lines
2.0 KiB
Python

from __future__ import annotations
from ..providers.types import BaseProvider, ProviderType
from ..providers.retry_provider import RetryProvider, IterListProvider
from ..providers.base_provider import AsyncProvider, AsyncGeneratorProvider
from ..providers.create_images import CreateImagesProvider
from .deprecated import *
from .selenium import *
from .needs_auth import *
from .not_working import *
from .local import *
from .Airforce import Airforce
from .AmigoChat import AmigoChat
from .Blackbox import Blackbox
from .Blackbox2 import Blackbox2
from .ChatGpt import ChatGpt
from .ChatGptEs import ChatGptEs
from .Cloudflare import Cloudflare
from .Copilot import Copilot
from .DarkAI import DarkAI
from .DDG import DDG
from .DeepInfraChat import DeepInfraChat
from .Flux import Flux
from .Free2GPT import Free2GPT
from .FreeGpt import FreeGpt
from .GizAI import GizAI
from .Liaobots import Liaobots
from .Mhystical import Mhystical
from .PerplexityLabs import PerplexityLabs
from .Pi import Pi
from .Pizzagpt import Pizzagpt
from .PollinationsAI import PollinationsAI
from .Prodia import Prodia
from .ReplicateHome import ReplicateHome
from .RubiksAI import RubiksAI
from .TeachAnything import TeachAnything
from .You import You
import sys
__modules__: list = [
getattr(sys.modules[__name__], provider) for provider in dir()
if not provider.startswith("__")
]
__providers__: list[ProviderType] = [
provider for provider in __modules__
if isinstance(provider, type)
and issubclass(provider, BaseProvider)
]
__all__: list[str] = [
provider.__name__ for provider in __providers__
]
__map__: dict[str, ProviderType] = dict([
(provider.__name__, provider) for provider in __providers__
])
class ProviderUtils:
convert: dict[str, ProviderType] = __map__