xtekky/gpt4free 0.4.3.0

g4f v0.4.3.0

on GitHub

Release Notes for Version 0.4.2.7

Release Date: January 26, 2025

Highlights

This release introduces significant enhancements, optimizations, and new features to improve functionality, robustness, and user experience. Special thanks to H Lohaus for their valuable contributions.

Key Updates and Features

Enhancements to docker-compose

• Port Update: Added 1337:8080 to docker-compose-slim.yml and docker-compose.yml for enabling new functionalities.
• Improved compatibility and setup flexibility across all running applications.

Provider Script Improvements

• Refactored and optimized providers such as CablyAI, Cloudflare, and DeepInfraChat to streamline inheritance and logic.
• Introduced use_nodriver attribute for enhanced customization in multiple provider classes.
• Added a format_prompt_qwen2 function to manage new prompt formats in HuggingFace.

HuggingFaceAPI Enhancements

• Better token handling with added max_tokens and calculate_length functions for accurate token counting and input management.
• Enhanced robustness through improved handling of messages exceeding length limits.
• Streamlined model properties for better management.

Demo Mode Features

• New demo.html file, complete with supporting CSS and JS, to enable and showcase demo functionalities.
• Updated backend to support demo mode, including functions like create_app_with_gui_and_debug and create_app_with_demo_and_debug.
• Integrated user-journey constraints for better demo tracking and usage monitoring.

Rate Limiting

• Integrated flask_limiter for API rate limiting in demo mode, improving UI stability under public access.

Error Handling Enhancements

• Improved edge case management by:
  • Ignoring encoding errors in file uploads and web_search.
  • Enhancing fault tolerance in processes.

Code Structure and Robustness

• Numerous refactorings and fixes to improve maintainability, performance, and clarity across the codebase.

Recommendations for Testing

1. Demo Mode: Test the new UI demo mode extensively, covering both frontend and backend functionalities.
2. Token Handling: Validate HuggingFaceAPI with various models to ensure the new max_tokens limit functions as expected in production.
3. Rate Limiting: Verify the behavior of flask_limiter under varying traffic conditions in demo mode.
4. Error Handling: Ensure encoding error handling manages issues gracefully without bypassing critical workflows.

What's Changed

• Update provider capabilities and model support by @kqlio67 in #2600
• Update README.md by @Pashok111 in #2612
• Increase max token in HuggingfaceAPI by @hlohaus in #2614
• Fix issue reading provider model list by @hlohaus in #2618

New Contributors

• @Pashok111 made their first contribution in #2612

Thank you for using version 0.4.2.7! 🚀

Full Changelog: 0.4.2.6...0.4.3.0