Mini LLM Flow

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.) via this prompt

Documentation: https://zachary62.github.io/miniLLMFlow/

Why Mini LLM Flow?

Mini LLM Flow is designed to be the framework used by LLM assistants. In the future, LLM app development will be heavily LLM-assisted: Users specify requirements, and LLM assistants design, build, and maintain themselves. Current LLM assistants:

1. 👍 Shine at Low-level Implementation
   LLMs excel at APIs, tools, chunking, prompting, etc. These don't belong in a general-purpose framework; they're too specialized to maintain and optimize.

2. 👎 Struggle with High-level Paradigms
   Paradigms like MapReduce, task decomposition, and agents are powerful. However, designing these elegantly remains challenging for LLMs.

The ideal framework for LLM assistants should:
(1) Remove specialized low-level implementations.
(2) Keep high-level paradigms to program against.
Hence, I built this minimal (100-line) framework so LLMs can focus on what matters.

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

Example LLM apps

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

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