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