Coding a Rust OpenAI Assistant CLI from Scratch
Offered By: Jeremy Chone via YouTube
Course Description
Overview
Learn to build a custom Rust AI Assistant from scratch using the OpenAI Assistant API in this comprehensive tutorial. Explore best practices and techniques for creating a command-line interface (CLI) application that interacts with AI. Follow along as the instructor guides you through setting up dependencies, implementing error handling, creating and managing AI assistants, handling conversations, and building a user-friendly interface. Gain hands-on experience with file parsing, bundling, and terminal interactions while developing a fully functional AI buddy. By the end of this tutorial, you'll have created a robust Rust-based AI assistant and gained valuable insights into production-level Rust programming.
Syllabus
- - Intro
- - Dependencies
- - Rust - Error Model "Trick"
- - AI Service - Client
- - Assistant - Create
- - Assistant - Load or Create find assistant by name
- - Assistant - Upload Instructions
- - Assistant - Create Thread
- - Assistant - Run Thread
- - Assistant - First Run Thread / Message
- - Buddy - Config & Data Dir
- - Utils - Files parsing, bundling
- - Utils - Term prompts and icons
- - Buddy - Init from dir
- - Buddy - Upload Instructions
- - Buddy - Conversation & Chat
- - Prompt - Command / Loop
- - First Prompt Test
- - Assistant/Buddy - Upload Bundle
- - Assistant Delete
- - Final Demo / Test
Taught by
Jeremy Chone
Related Courses
Software as a ServiceUniversity of California, Berkeley via Coursera Software Testing
University of Utah via Udacity The Hardware/Software Interface
University of Washington via Coursera Software Debugging
Saarland University via Udacity Introduction to Systematic Program Design - Part 1
The University of British Columbia via Coursera