miniLLMFlow

![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg) Minimalist LLM framework in [100 lines](minillmflow/__init__.py). Express popular LLM paradigms like agents, task decomposition, chain of thought, RAG, and more. - Install via ```pip install minillmflow```. Or just copy the [source codes](minillmflow/__init__.py) (it's only 100 lines) - We **strongly recommened** using LLMs (e.g., Claude, ChatGPT, Cursor) to build LLM applications with [this prompt](minillmflow/docs/prompt) ## Why miniLLMFlow? The future of programming will be heavily LLM-assited, and LLMs: 1. **👍 Excel at Feature Implementation**: Give proper context/docs, they know how to use APIs, tools, text chunking, prompt wrapping, etc. These shouldn't be part of an LLM framework, as they're hard to maintain, update, and optimize. 2. **👎 Suck at Paradigm Design**: Paradigms like MapReduce, DAG workflows, and recent agents are powerful for reasoning about problems. However, designing elegant paradigms is challenging, and LLMs tend to write redundant code. Can we build a framework that: (1) removes redunant feature implementations, (2) but keep core paradigms for LLMs to program against? Turns out that we just need 100 lines of codes.