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README.md

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-# miniLLMFlow
+<h1 align="center">miniLLMFlow</h1>
+
+![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.
+
+<div align="center">
+  <img src="./docs/minillmflow.jpg" width="400"/>
+</div>
+

docs/prompt

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+TODO

setup.py

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+from setuptools import setup, find_packages
+
+setup(
+    name="minillmflow",
+    version="0.0.0",
+    packages=find_packages(),
+    author="Zachary Huang",
+    author_email="zh2408@columbia.edu",
+    description="A Minimalist Framework for LLM Workflows in 100 Lines of Code",
+    url="https://github.com/zachary62/miniLLMFlow",
+)