Mini LLM Flow - LLM Framework in 100 Lines

A 100-line minimalist LLM framework for agents, task decomposition, RAG, etc.

• Install via pip install minillmflow, or just copy the source (only 100 lines)

• Pro tip: Build LLM apps with LLMs assistants (ChatGPT, Claude, etc.)

  • GPT assistant: Check out Mini LLM Flow Assistant

  • Claude assistant: Create a project and dump the docs

  • Use your own LLMs and provide contexts via this prompt

Documentation: https://minillmflow.github.io/miniLLMFlow/

Why Mini LLM Flow?

Mini LLM Flow is designed to be the framework used by LLMs. In the future, LLM projects will self-programmed by LLMs themselves: Users specify requirements, and LLMs will design, build, and maintain. Current LLMs are:

1. 👍 Good at Low-level Details: LLMs can handle LLM wrappers, tools, and prompts, which don't require any framework. Current frameworks are often over-engineered, making them difficult for humans (and LLMs) to understand.

2. 👎 Bad at High-level Paradigms: While paradigms like MapReduce, task decomposition, and agents are powerful, LLMs still struggle to design them elegantly. These high-level concepts should be emphasized in frameworks.

The ideal framework for LLMs should (1) strip away low-level implementation details, and (2) keep high-level paradigms to program against. Hence, we provide this minimal (100-line) framework that allows LLMs to focus on what matters.

Mini LLM Flow is also a great learning resource, as current frameworks abstract too much away.

Tutorial

• Documentation: https://minillmflow.github.io/miniLLMFlow/

• Beginner Tutorial: Text summarization for Paul Graham Essay + QA agent

  • Have questions for this tutorial? Ask LLM assistants through this prompt