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-miniLLMFlow
+Mini LLM Flow
-Minimalist LLM framework in [100 lines](minillmflow/__init__.py). Express popular paradigms like agents, task decomposition, RAG, and more.
+A 100-line minimalist LLM framework for agents, task decomposition, RAG, etc.
-- 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 develop LLM applications with [this prompt](minillmflow/docs/prompt)
+- Install via ```pip install minillmflow```, or just copy the [source](minillmflow/__init__.py) (only 100 lines)
-## Why miniLLMFlow?
+- **Pro tip:** Build LLM apps with LLMs assistants (ChatGPT, Claude, etc.) via [this prompt](minillmflow/docs/prompt)
-The future of programming will be heavily LLM-assited, and LLMs:
+## Why Mini LLM Flow?
-1. **😀 Shine at Feature Implementation**:
+The future of LLM app development will be **heavily LLM-assited**: users specify requirements, and LLMs build, test, and maintain on their own. Current LLM assistants:
+
+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, so they don’t belong in the framework.
+These are hard to maintain and optimize for a general-purpose framework.
-2. **☹️ Struggle with Paradigm Design**:
-Paradigms like MapReduce, task decomposition, and agents are powerful, even for LLMs.
+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 applications, a framework should
-(1) remove redunant feature implementations but
-(2) keep core paradigms to build on.
-It turns out that such a framework only needs 100 lines of code.
+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.
+
