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5f54f63b13
Add comprehensive token usage tracking and beautiful ASCII art interface to enhance user experience and provide cost transparency. - Add TokenTracker class for real-time token usage monitoring - Implement ASCII art banner with pyfiglet integration - Add cost estimation based on OpenAI pricing models - Display real-time token usage after each AI operation - Add 'tokens' command in interactive mode for usage statistics - Show session summary with detailed analytics at session end - Integrate token tracking into OpenAIProvider with optional TokenTracker - Add pyfiglet and tiktoken dependencies to pyproject.toml - Create ascii_art.py module for banner display functionality - Update main.py to initialize and manage token tracking sessions - Add session management with unique session IDs - Implement detailed usage tables with rich formatting - Update README.md with token tracking features and examples - Add ASCII art banner to welcome screen documentation - Include cost transparency and usage analytics sections - Update version to 0.2.5 in README examples - Remove Windows from supported OS list in bug report template - Add comprehensive unit tests for TokenTracker functionality - Add unit tests for ASCII art display features - Ensure proper error handling and edge cases covered - Real-time cost estimates displayed after each operation - Beautiful ASCII art welcome banner that adapts to terminal width - Session-based token tracking with detailed summaries - Interactive 'tokens' command for on-demand usage statistics - Rich formatted tables for better readability Breaking Changes: None Dependencies Added: pyfiglet>=1.0.0, tiktoken>=0.5.0