Mini LLM Flow
[](https://zachary62.github.io/miniLLMFlow/)
A [100-line](minillmflow/__init__.py) minimalist LLM framework for agents, task decomposition, RAG, etc.
- Install via ```pip install minillmflow```, or just copy the [source](minillmflow/__init__.py) (only 100 lines)
- **Pro tip:** Build LLM apps with LLMs assistants (ChatGPT, Claude, etc.) via [this prompt](assets/prompt)
Documentation: https://zachary62.github.io/miniLLMFlow/
## Why Mini LLM Flow?
In the future, **LLM apps will be developed by LLMs**: users specify requirements, and LLMs design, build, and maintain on their own. Current LLMs:
1. **👍 Shine at Low-level Implementation**:
With proper docs, LLMs can handle APIs, tools, chunking, prompt wrapping, etc.
These are hard to maintain and optimize for a general-purpose framework.
2. **👎 Struggle with High-level Paradigms**:
Paradigms like MapReduce, task decomposition, and agents are powerful for development.
However, designing these elegantly remains challenging for LLMs.
To enable LLMs to develop LLM app, a framework should
(1) remove specialized low-level implementations, and
(2) keep high-level paradigms to program against.
Hence, I built this framework that lets LLMs focus on what matters. It turns out 100 lines is all you need.
## Example LLM apps
- Beginner Tutorial: [Text summarization for Paul Graham Essay + QA agent](https://colab.research.google.com/github/zachary62/miniLLMFlow/blob/main/cookbook/demo.ipynb)
- Have questions for this tutorial? Ask LLM assistants through [this prompt](https://chatgpt.com/share/676f16d2-7064-8000-b9d7-f6874346a6b5)
