* 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 <>
* refactor(g4f/Provider/Airforce.py): Enhance Airforce provider with dynamic model fetching
* refactor(g4f/Provider/Blackbox.py): Enhance Blackbox AI provider configuration and streamline code
* feat(g4f/Provider/RobocodersAPI.py): Add RobocodersAPI new async chat provider
* refactor(g4f/client/__init__.py): Improve provider handling in async_generate method
* refactor(g4f/models.py): Update provider configurations for multiple models
* refactor(g4f/Provider/Blackbox.py): Streamline model configuration and improve response handling
* feat(g4f/Provider/DDG.py): Enhance model support and improve conversation handling
* refactor(g4f/Provider/Copilot.py): Enhance Copilot provider with model support
* refactor(g4f/Provider/AmigoChat.py): update models and improve code structure
* chore(g4f/Provider/not_working/AIUncensored.): move AIUncensored to not_working directory
* chore(g4f/Provider/not_working/Allyfy.py): remove Allyfy provider
* Update (g4f/Provider/not_working/AIUncensored.py g4f/Provider/not_working/__init__.py)
* refactor(g4f/Provider/ChatGptEs.py): Implement format_prompt for message handling
* refactor(g4f/Provider/Blackbox.py): Update message formatting and improve code structure
* refactor(g4f/Provider/LLMPlayground.py): Enhance text generation and error handling
* refactor(g4f/Provider/needs_auth/PollinationsAI.py): move PollinationsAI to needs_auth directory
* refactor(g4f/Provider/Liaobots.py): Update Liaobots provider models and aliases
* feat(g4f/Provider/DeepInfraChat.py): Add new DeepInfra models and aliases
* Update (g4f/Provider/__init__.py)
* Update (g4f/models.py)
* g4f/models.py
* Update g4f/models.py
* Update g4f/Provider/LLMPlayground.py
* Update (g4f/models.py g4f/Provider/Airforce.py
g4f/Provider/__init__.py g4f/Provider/LLMPlayground.py)
* Update g4f/Provider/__init__.py
* refactor(g4f/Provider/Airforce.py): Enhance text generation with retry and timeout
* Update g4f/Provider/AmigoChat.py g4f/Provider/__init__.py
* refactor(g4f/Provider/Blackbox.py): update model prefixes and image handling
Fixes#2445
- Update model prefixes for gpt-4o, gemini-pro, and claude-sonnet-3.5
- Add 'gpt-3.5-turbo' alias for 'blackboxai' model
- Modify image handling in create_async_generator method
- Add 'imageGenerationMode' and 'webSearchModePrompt' flags to API request
- Remove redundant 'imageBase64' field from image data structure
* New provider (g4f/Provider/Blackbox2.py)
Support for model llama-3.1-70b text generation
* docs(docs/async_client.md): update AsyncClient API guide with minor improvements
- Improve formatting and readability of code examples
- Add line breaks for better visual separation of sections
- Fix minor typos and inconsistencies in text
- Enhance clarity of explanations in various sections
- Remove unnecessary whitespace
* feat(docs/client.md): add response_format parameter
- Add 'response_format' parameter to image generation examples
- Specify 'url' format for standard image generation
- Include 'b64_json' format for base64 encoded image response
- Update documentation to reflect new parameter usage
- Improve code examples for clarity and consistency
* docs(README.md): update usage examples and add image generation
- Update text generation example to use new Client API
- Add image generation example with Client API
- Update configuration section with new cookie setting instructions
- Add response_format parameter to image generation example
- Remove outdated information and reorganize sections
- Update contributors list
* refactor(g4f/client/__init__.py): optimize image processing and response handling
- Modify _process_image_response to handle 'url' format without local saving
- Update ImagesResponse construction to include 'created' timestamp
- Simplify image processing logic for different response formats
- Improve error handling and logging for image generation
- Enhance type hints and docstrings for better code clarity
* feat(g4f/models.py): update model providers and add new models
- Add Blackbox2 to Provider imports
- Update gpt-3.5-turbo best provider to Blackbox
- Add Blackbox2 to llama-3.1-70b best providers
- Rename dalle_3 to dall_e_3 and update its best providers
- Add new models: solar_mini, openhermes_2_5, lfm_40b, zephyr_7b, neural_7b, mythomax_13b
- Update ModelUtils.convert with new models and changes
- Remove duplicate 'dalle-3' entry in ModelUtils.convert
* refactor(Airforce): improve API handling and add authentication
- Implement API key authentication with check_api_key method
- Refactor image generation to use new imagine2 endpoint
- Improve text generation with better error handling and streaming
- Update model aliases and add new image models
- Enhance content filtering for various model outputs
- Replace StreamSession with aiohttp's ClientSession for async operations
- Simplify model fetching logic and remove redundant code
- Add is_image_model method for better model type checking
- Update class attributes for better organization and clarity
* feat(g4f/Provider/HuggingChat.py): update HuggingChat model list and aliases
Request by @TheFirstNoob
- Add 'Qwen/Qwen2.5-72B-Instruct' as the first model in the list
- Update model aliases to include 'qwen-2.5-72b'
- Reorder existing models in the list for consistency
- Remove duplicate entry for 'Qwen/Qwen2.5-72B-Instruct' in models list
* refactor(g4f/Provider/ReplicateHome.py): remove unused text models
Request by @TheFirstNoob
- Removed the 'meta/meta-llama-3-70b-instruct' and 'mistralai/mixtral-8x7b-instruct-v0.1' text models from the list
- Updated the list to only include the remaining text and image models
- This change simplifies the model configuration and reduces the number of available models, focusing on the core text and image models provided by Replicate
* refactor(g4f/Provider/HuggingChat.py): Move HuggingChat to needs_auth directory
Request by @TheFirstNoob
* Update (g4f/Provider/needs_auth/HuggingChat.py)
* Update g4f/models.py
* Update g4f/Provider/Airforce.py
* Update g4f/models.py g4f/Provider/needs_auth/HuggingChat.py
* Added 'Airforce' provider to the 'o1-mini' model (g4f/models.py)
* Update (g4f/Provider/Airforce.py g4f/Provider/AmigoChat.py)
* Update g4f/models.py g4f/Provider/DeepInfraChat.py g4f/Provider/Airforce.py
* Update g4f/Provider/DeepInfraChat.py
* Update (g4f/Provider/DeepInfraChat.py)
* Update g4f/Provider/Blackbox.py
* Update (docs/client.md docs/async_client.md g4f/client/__init__.py)
* Update (docs/async_client.md docs/client.md)
* Update (g4f/client/__init__.py)
---------
Co-authored-by: kqlio67 <kqlio67@users.noreply.github.com>
Co-authored-by: kqlio67 <>
Co-authored-by: H Lohaus <hlohaus@users.noreply.github.com>
* 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
* 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
