- Fix SSL parameter in Liaobots provider (change verify_ssl to ssl=False)
- Simplify model aliases in PollinationsAI by removing list-based random selection
- Add referrer parameter to PollinationsAI provider methods
- Fix image URL generation in PollinationsAI to prevent URL length issues
- Add Gemini-2.5-flash model to Gemini provider models dictionary
- Add Gemini-2.5-pro alias in Gemini provider
- Remove try/except blocks in Provider/__init__.py for more direct imports
- Fix response_format handling in PollinationsAI provider
- Update RequestLogin handling in Gemini provider
- Changed default model in commit.py from "gpt-4o" to "claude-3.7-sonnet"
- Fixed ARTA provider by adding proper auth token handling and form data submission
- Updated Blackbox provider to use OpenRouter models instead of premium models
- Improved DDG provider with simplified authentication and better error handling
- Updated DeepInfraChat provider with new models and aliases
- Removed non-working providers: Goabror, Jmuz, OIVSCode, AllenAI, ChatGptEs, FreeRouter, Glider
- Moved non-working providers to the not_working directory
- Added BlackboxPro provider in needs_auth directory with premium model support
- Updated Liaobots provider with new models and improved authentication
- Renamed Microsoft_Phi_4 to Microsoft_Phi_4_Multimodal for clarity
- Updated LambdaChat provider with direct API implementation instead of HuggingChat
- Updated models.py with new model definitions and provider mappings
- Removed BlackForestLabs_Flux1Schnell from HuggingSpace providers
- Updated model aliases across multiple providers for better compatibility
- Fixed Dynaspark provider endpoint URL to prevent spam detection
* docs(docs/providers-and-models.md): update documentation structure and model listings
* refactor(g4f/debug.py): add type hints and docstrings
* refactor(g4f/tools/run_tools.py): Restructure tool handling and improve modularity
* refactor(g4f/providers/response.py): enhance type hints and code documentation
* feat(g4f/models.py): Update model providers and add new models
* feat(g4f/Provider/Blackbox.py): add encrypted session handling and model updates
* fix(g4f/Provider/ChatGptEs.py): migrate to curl_cffi for request handling and improve error resilience
* feat(g4f/Provider/DeepInfraChat.py): Update default model and add new DeepSeek variants
* feat(g4f/Provider/Free2GPT.py): add Gemini models and streamline headers
* feat(g4f/Provider/FreeGpt.py): Add support for Gemini 1.5 Flash model
* feat(g4f/Provider/Liaobots.py): Add Claude 3.7 models and update default GPT-4o
* fix(g4f/Provider/PollinationsAI.py): Correct model mappings and generation parameters
* feat(g4f/Provider/PollinationsImage.py): Add class identifier label
* chore(g4f/Provider/TeachAnything.py): Update default model and simplify model handling
* (g4f/Provider/Mhystical.py): Remove class implementation
* chore(g4f/Provider/Prodia.py > g4f/Provider/not_working/Prodia.py): mark Prodia provider as non-working
* feat(g4f/Provider/Blackbox.py): Add Claude 3.7 Sonnet model alias
* chore(g4f/models.py): Update model configurations
* fix(g4f/Provider/ChatGptEs.py): improve request reliability and nonce detection
---------
Co-authored-by: kqlio67 <>
* docs(docs/providers-and-models.md): Update provider listings and model information
* feat(g4f/models.py): update model configurations and expand provider support
* fix(g4f/gui/client/static/js/chat.v1.js): correct provider checkbox initialization logic
* feat(g4f/Provider/Blackbox.py): update model configurations and premium handling
* feat(g4f/Provider/ChatGLM.py): add finish reason handling and update default model
* chore(g4f/Provider/DDG.py): Reorder model entries for consistency
* feat(g4f/Provider/ImageLabs.py): Update default image model to sdxl-turbo
* feat(g4f/Provider/Liaobots.py): update supported model configurations and aliases
* feat(g4f/Provider/OIVSCode.py): Update API endpoint and expand model support
* fix(g4f/Provider/needs_auth/CablyAI.py): Enforce authentication requirement
* Removed the provider (g4f/Provider/BlackboxAPI.py)
* fix(g4f/providers/base_provider.py): improve cache validation in AsyncAuthedProvider
* Update g4f/models.py
* fix(g4f/Provider/Liaobots.py): remove deprecated Gemini model aliases
* chore(g4f/models.py): Remove Grok-2 and update Gemini provider configurations
* chore(docs/providers-and-models.md): Remove deprecated Grok models from provider listings
* New provider added (g4f/Provider/AllenAI.py)
* feat(g4f/models.py): Add Ai2 models and update provider references
* feat(docs/providers-and-models.md): update providers and models documentation
* fix(g4f/models.py): update experimental model provider configuration
* fix(g4f/Provider/PollinationsImage.py): Initialize image_models list and update label
* fix(g4f/Provider/PollinationsAI.py): Resolve model initialization and alias conflicts
* refactor(g4f/Provider/PollinationsAI.py): improve model initialization and error handling
* refactor(g4f/Provider/PollinationsImage.py): Improve model synchronization and initialization
* Update g4f/Provider/AllenAI.py
---------
Co-authored-by: kqlio67 <>
Remove old text_to_speech service from gui
Update gui and client readmes,
Add HuggingSpaces group provider;
Add providers parameters config forms to gui
* 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 <>
* 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.
---------
Co-authored-by: kqlio67 <>
* Fix api streaming, fix AsyncClient, Improve Client class, Some providers fixes, Update models list, Fix some tests, Update model list in Airforce provid
er, Add OpenAi image generation url to api, Fix reload and debug in api arguments, Fix websearch in gui
* Fix Cloadflare and Pi and AmigoChat provider
* Fix conversation support in DDG provider, Add cloudflare bypass with nodriver
* Fix unittests without curl_cffi
