## AI Chat Prompt and API Integration with JSON-C
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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.
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### Features
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- **Chat Prompt Management**: Facilitates creating JSON-based chat prompts using an AI model configuration.
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- **OpenAI API Interaction**: Includes functions to fetch models and system interactions via OpenAI's APIs.
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- **Command-Line Functionality**: Provides autocomplete and history features for user inputs using the readline library.
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- **HTTP Requests over SSL/TLS**: Handles HTTP POST and GET operations using OpenSSL for secure connections.
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- **Python Interpreter Plugin**: Executes Python scripts within a C application setting using Python’s C API.
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- **Syntax Highlighting**: Uses ANSI color formatting for syntax highlighting and markdown conversion.
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### Highlights
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- Modular functions ensure clean separation of concerns and improve code readability.
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- Utilizes OpenSSL for secure HTTP requests and JSON-C for efficient JSON handling.
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- The inclusion of various open-source alternatives like Rasa and Botpress are suggested for expanding functionalities.
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### Licensing
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All code is licensed under the MIT License, granting permission for free use, distribution, and modification while disclaiming warranties.
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### Key Improvements
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- Enhanced error handling for JSON operations and API interactions.
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- Optimal memory management practices, including safe allocation and deallocation of resources.
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- The use of modern and secure methods for sensitive information management (e.g., API keys).
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### Open Source Alternatives
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- **Rasa**: A machine learning framework for text-and-voice-based assistant automation.
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- **Libcurl**: A library supporting HTTP requests and SSL/TLS protocols.
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- **GNU Readline**: Provides similar command-line features with history and autocomplete. |