Completed
2 weeks
Solo project
Tool-Calling CLI Assistant
Designed to streamline and experiment with LLM-based workflows, this project integrates GPT-4o-mini with an extensible Python-based tool system. It uses modern practices like async programming, environment-based config management, type hinting, and modular architecture to demonstrate scalable, real-world AI integration in the CLI.
Tools & Technologies
PythonOpenAI APIuvdotenvRichPydanticAsyncio
Project Overview
Status: Completed
Duration: 2 weeks
Team Size: Solo project
Key Takeaways
- •Built an extensible architecture using abstract base classes and the registry pattern
- •Implemented OpenAI's function-calling API with robust async support
- •Used Rich to create an interactive, user-friendly CLI experience
- •Learned how to structure and manage a real project end-to-end — my first large-scale personal build
Challenges Overcome
- •Designing a tool system that scales cleanly with additional functionality
- •Handling asynchronous function calls and error states effectively
- •Ensuring safe and secure configuration through environment variables