Nextpy is a Python framework for building self-modifying AI applications, targeting developers who want more control over LLM interactions and code generation. It aims to improve LLM efficiency and output accuracy through a novel prompt engine and session state management, offering a faster alternative to existing frameworks like Streamlit.

How It Works

Nextpy employs a "compile-time" prompt processing approach to reduce redundant LLM calls. It maintains session state with LLMs, leveraging KV caches for optimized token generation, particularly beneficial for open-source models. The framework also includes features like speculative sampling (WIP) for faster token generation and syntax error detection for LLM-generated code, aiming for more robust and efficient AI outputs.

Quick Start & Requirements

• Install via pip: pip install nextpy
• Requires Python 3.7+.
• See nextpy.org for demos and documentation.

Highlighted Details

• Claims 4-10x faster performance than Streamlit apps, with a reported PageSpeed score of 99/100.
• Integrates components from Guidance, DSPy, Llama-Index, LangChain, ReactPy, and others.
• Features a generative UI module using forked versions of Reflex, Reacton, and Solara.
• Allows agents to be exported as .agent or .robot files for cross-platform execution.

Maintenance & Community

The project is currently in an "early stage" ("just for friends") and actively seeking feedback and contributions. Links to community channels are not explicitly provided in the README.

Licensing & Compatibility

The README does not explicitly state a license. Given the project's early stage and reliance on other open-source projects, users should verify licensing compatibility for commercial or closed-source use.

Limitations & Caveats

The project is explicitly stated to be in an "early stage" and "just for friends," indicating potential instability, incomplete features, and a small contributor base. Speculative sampling is marked as "WIP" (Work In Progress).