Introducing Flappy Monorepo
Flappy Monorepo is an ambitious project designed to bring the power of Large Language Models (LLMs) to developers across a variety of programming languages. Still under development, Flappy aims to be a production-ready Software Development Kit (SDK) that simplifies AI integration, making it as straightforward as developing a basic CRUD application.
Overview
Flappy is a universal solution for developers who wish to incorporate AI into their projects without being limited by programming languages. It is designed to be user-friendly, efficient, and versatile, allowing professionals from different sectors to leverage AI technologies in their work seamlessly.
Key Features
- User-Friendly Interface: Flappy is crafted to minimize the learning curve, making it accessible for developers who are new to AI technologies.
- Production-Ready Environment: The SDK balances cost-efficiency with strong security measures, making it suitable for commercial use.
- Language Compatibility: Flappy integrates smoothly with any programming language, requiring Python only if necessary for executing specific requests.
SDK Offerings
The Flappy SDK offers implementations across several popular languages, including:
- Node.js: Featuring seamless integration and comprehensive documentation to get developers up and running quickly.
- Java: Providing robust support through Maven, with full documentation available.
- C#: Available on NuGet, allowing seamless inclusion in .NET projects with extensive documentation to guide developers.
More languages like Ruby, PHP, Go, and Python are expected to be supported soon, further broadening the inclusivity of the Flappy ecosystem.
Core Components
Agent Features
Flappy includes versatile agent features that perform tasks like data extraction, API interaction, and running Python code in a secure environment. These agents are configured to handle:
- InvokeFunction: Manages interactions with the environment using well-defined I/O parameters.
- SynthesizedFunction: Processes tasks using LLMs based on predefined descriptions and data structures.
- CodeInterpreter: Executes Python code in a safe sandbox, enhancing reliability and security for production use.
These components are optimized with features like JSON Schema integration and Abstract Syntax Tree (AST) parsing to ensure uniformity and accuracy in data handling.
LLM Abstraction Layer
One of Flappy's standout features is its abstraction layer for different LLMs, allowing developers to switch between various LLMs, ensuring application resilience by designating fallback options as needed.
Getting Started
Flappy's journey begins by choosing your preferred programming language implementation. While Node.js, Kotlin & Java, and C# are currently available, support for other languages like Ruby, PHP, Go, and Python is on the horizon.
Contributing
The Flappy team welcomes community contributions. If you are interested in contributing, detailed guidelines are available to help you get started.
License
Flappy is released under the Apache License 2.0, ensuring openness and collaboration for future developments.
Flappy Monorepo is paving the way for simplified AI integration across languages and industries, empowering developers to tap into AI's vast potential with ease and flexibility.