This package provides a humorous and illustrative way to leverage AI for basic arithmetic operations, targeting developers who want to experiment with AI integration in a simple, accessible manner. It offers a suite of comparison and parity checks powered by OpenAI's GPT models, demonstrating AI's potential for tasks beyond traditional programming logic.

How It Works

The library utilizes OpenAI's GPT-3.5-turbo model to process natural language prompts that describe simple numerical comparisons. By sending queries like "Is the number 2 even?" to the API, it translates the AI's text response into boolean logic for programmatic use. This approach highlights the flexibility of LLMs for tasks that can be framed as questions, albeit with significant overhead compared to direct computation.

Quick Start & Requirements

• Install: npm install is-even-ai
• Prerequisites: An OpenAI API key is required, which can be set via setApiKey("YOUR_API_KEY") or by setting the OPENAI_API_KEY environment variable.
• Usage: Import functions like isEven and isOdd from the package. See the README for detailed examples and advanced usage with the IsEvenAiOpenAi class for model and temperature configuration.

Highlighted Details

• Leverages OpenAI's GPT-3.5-turbo for all numerical operations.
• Supports isEven, isOdd, areEqual, areNotEqual, isGreaterThan, and isLessThan.
• Allows customization of the underlying OpenAI model and temperature settings.
• Designed as a playful demonstration of AI integration.

Maintenance & Community

The project appears to be a personal or small-scale initiative with no explicit mention of maintainers, community channels, or a roadmap. Contributions via Pull Requests are welcomed for adding support for other AI platforms.

Licensing & Compatibility

The README does not specify a license. This lack of explicit licensing means it should be considered proprietary and not suitable for commercial use or integration into closed-source projects without further clarification.

Limitations & Caveats

This library is purely illustrative and not suitable for production environments due to the inherent latency, cost, and unreliability of using a large language model for simple arithmetic. The reliance on OpenAI's API means it is subject to their terms of service and pricing.