2.0 KiB
Mini LLM Flow
A 100-line minimalist LLM framework for agents, task decomposition, RAG, etc.
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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 LLMs. In the future, LLM projects will self-programmed by LLMs themselves: Users specify requirements, and LLMs will design, build, and maintain. Current LLMs:
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👍 Shine at Low-level Implementation: LLMs can handle APIs, tools, chunking, prompting, etc. These don't belong in a general-purpose framework; they're too specialized to maintain and optimize.
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👎 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 LLMs should (1) remove specialized low-level implementations, and (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 current frameworks abstract too much away.
Tutorial
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Documentation: https://zachary62.github.io/miniLLMFlow/
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Beginner Tutorial: Text summarization for Paul Graham Essay + QA agent
- Have questions for this tutorial? Ask LLM assistants through this prompt