* 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>
* Add more contributers, add link to Swagger UI
* Update Dockerfile-slim
* Update retry_provider.py
* Add html preview to gui, fix urls in website manifest
* Missing chunks in OpenaiChat
* Improve slim docker image example, clean up OpenaiChat provider
* Enhance event loop management for asynchronous generators
* Fix attribute " shutdown_default_executor" not found in old python versions
* asyncio file added with all async helpers
https://github.com/yjg30737/pyqt-openai
I've implemented g4f in pyqt-openai (application name is VividNode, by the way) and it works perfectly 👌
pyqt-openai is the desktop chatbot made entirely with Python.
Thanks !
