## 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.