* Add multiple images support
* Add multiple images support in gui
* Support multiple images in legacy client and in the api
Fix some model names in provider model list
* Fix unittests
* Add vision and providers docs
* 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 <>
* Improve download of generated images, serve images in the api
Add support for conversation handling in the api
* Add orginal prompt to image response
* Add download images option in gui, fix loading model list in Airforce
* Add download images option in gui, fix loading model list in Airforce
