AI Chat Prompt and API Integration with JSON-C

This project offers functionalities for creating and managing AI chat interactions. It utilizes the JSON-C library to handle JSON objects, providing easy integration with HTTP networking and message handling.

Features

  • Chat Prompt Management: Facilitates creating JSON-based chat prompts using an AI model configuration.
  • OpenAI API Interaction: Includes functions to fetch models and system interactions via OpenAI's APIs.
  • Command-Line Functionality: Provides autocomplete and history features for user inputs using the readline library.
  • HTTP Requests over SSL/TLS: Handles HTTP POST and GET operations using OpenSSL for secure connections.
  • Python Interpreter Plugin: Executes Python scripts within a C application setting using Python’s C API.
  • Syntax Highlighting: Uses ANSI color formatting for syntax highlighting and markdown conversion.

Highlights

  • Modular functions ensure clean separation of concerns and improve code readability.
  • Utilizes OpenSSL for secure HTTP requests and JSON-C for efficient JSON handling.
  • The inclusion of various open-source alternatives like Rasa and Botpress are suggested for expanding functionalities.

Licensing

All code is licensed under the MIT License, granting permission for free use, distribution, and modification while disclaiming warranties.

Key Improvements

  • Enhanced error handling for JSON operations and API interactions.
  • Optimal memory management practices, including safe allocation and deallocation of resources.
  • The use of modern and secure methods for sensitive information management (e.g., API keys).

Open Source Alternatives

  • Rasa: A machine learning framework for text-and-voice-based assistant automation.
  • Libcurl: A library supporting HTTP requests and SSL/TLS protocols.
  • GNU Readline: Provides similar command-line features with history and autocomplete.