Flappy is a production-ready SDK designed to simplify the creation of AI applications and agents powered by Large Language Models (LLMs). It targets developers seeking to integrate AI capabilities into their projects, offering a language-agnostic and user-friendly approach that abstracts away LLM complexities for easier adoption.

How It Works

Flappy enables agents to interact with LLMs through a core concept of "functions." These can be InvokeFunctions, where developers define pre-set input/output parameters for interaction, or SynthesizedFunctions, where the LLM generates the function based on a description and data structure. A key feature is the CodeInterpreter, which safely executes LLM-generated Python code within a sandboxed environment. Flappy uniquely leverages JSON Schema, transforming abstract class definitions into schemas for machine-readable data management, and employs Abstract Syntax Tree (AST) parsing to validate LLM outputs against these schemas, ensuring data integrity and controlled interactions.

Quick Start & Requirements

• Install/Run: Language-specific packages are planned. Currently, no direct installation command is provided.
• Prerequisites: LLM API keys are implicitly required. Python is needed for the CodeInterpreter sandbox.
• Resources: Setup time and resource footprint are not specified.
• Links: Documentation and code examples are stated to be available soon.

Highlighted Details

• Language-agnostic design, aiming for seamless integration across Node.js, Java, C#, Go, and Ruby.
• Production-ready focus balancing cost-efficiency and sandbox security.
• LLM abstraction layer allows easy switching between different LLM providers and fallback configurations.
• Unique JSON Schema integration for defining and validating LLM input/output.

Maintenance & Community

• The project is under active development, with a first version release anticipated soon.
• Community contributions are welcomed. Specific community channels (Discord/Slack) or social handles are not listed.

Licensing & Compatibility

• Licensed under the Apache License 2.0.
• Permissive license suitable for commercial use and integration into closed-source applications.

Limitations & Caveats

The project is still under development, with documentation and initial language implementations (Node.js, Kotlin/Java) not yet fully released. Support for other languages like Ruby, PHP, C#, and Go is planned but not yet available.