Pocketflow : A minimalist LLM framework consisting of just 100 lines of code, enabling LLMs to perform autonomous programming.

Pocketflow

Development & Tools Model Training & Deployment #LLM framework, autonomous programming, minimalist code, open source Standard Picks Open Source

Overview :

PocketFlow is a minimalist LLM framework implemented in only 100 lines of code, designed for LLMs to engage in autonomous programming. It emphasizes high-level programming paradigms while eliminating low-level implementation details, allowing LLMs to focus on crucial aspects. This framework serves as a learning resource for LLMs, due to its simplicity, making it easy to comprehend and use. It employs a core abstraction of nested directed graphs, breaking tasks into multiple LLM steps and supporting branching and recursive decision-making. PocketFlow is an open-source project, licensed under MIT, offering high flexibility and scalability.

Target Users :

PocketFlow is targeted at developers who wish to utilize large language models (LLMs) for autonomous programming and building LLM applications, as well as scholars and researchers interested in LLM programming paradigms. For developers, PocketFlow offers a concise and efficient framework that enables rapid prototyping and experimentation with LLM applications. For academics and researchers, it serves as an excellent tool for studying LLM programming paradigms and autonomous programming capabilities.

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Use Cases

Construct a chatbot based on a PDF directory using PocketFlow.

Develop a text summarization tool that interacts with a question-answering agent using this framework.

Implement a simple example of task decomposition and multi-agent collaboration through PocketFlow.

Features

Provides an ultra-minimalist LLM framework with just 100 lines of code, easy to understand and use.

Emphasizes high-level programming paradigms, such as task decomposition and multi-agent systems, aiding LLMs in handling complex tasks.

Removes low-level implementation details, allowing LLMs to concentrate on core logic and decision-making processes.

Supports nested directed graph structures for flexible task decomposition and customizable decision-making flows.

As an open-source project under the MIT license, it enables developers to freely use and extend the framework.

How to Use

1. Install PocketFlow: Use the command 'pip install pocketflow' or directly copy the source code.

2. Read the documentation: Visit https://minillmflow.github.io/PocketFlow/ for detailed usage instructions and feature descriptions.

3. Design the application: Develop a high-level workflow and node structure for the LLM application based on requirements, defining the shared memory structure.

4. Implement the application: Write concise code to implement application logic using the PocketFlow framework; refer to examples in the documentation.

5. Test and optimize: Execute the application for testing, optimizing and adjusting based on the test results.