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Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

Product Name Screen Shot

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Built With

  • Next
  • React
  • Vue
  • Angular
  • Svelte
  • Laravel
  • Bootstrap
  • JQuery

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Getting Started

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Prerequisites

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  • npm
    npm install npm@latest -g

Installation

  1. Get a free API Key at https://example.com
  2. Clone the repo
    git clone https://github.com/github_username/repo_name.git
  3. Install NPM packages
    npm install
  4. Enter your API in config.js
    const API_KEY = 'ENTER YOUR API';
  5. Change git remote url to avoid accidental pushes to base project
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    git remote -v # confirm the changes

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Usage

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For more examples, please refer to the Documentation

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Roadmap

  • Feature 1
  • Feature 2
  • Feature 3
    • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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Top contributors:

License

Distributed under the MIT license. See LICENSE.txt for more information.

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Contact

Aidan Andrews - @aaxiom_org - aidan@aaxiom.org

Project Link: https://github.com/orgs/AAxiom-org/projects/2

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Acknowledgments

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MinLLM

A workflow orchestration library implemented in Rust with Python bindings.

Overview

MinLLM is a rewrite of a Python workflow orchestration library in Rust, with Python bindings to make it usable from Python. It provides tools for building and executing workflow pipelines with both synchronous and asynchronous execution patterns.

Features

  • Build workflow pipelines using composable nodes
  • Synchronous and asynchronous execution
  • Batch processing
  • Parallel execution for batch operations
  • Error handling with retry logic
  • Conditional transitions between nodes
  • Improved performance due to Rust implementation

Installation

Using pip (Python)

pip install minllm

As a Rust crate

cargo add minllm

Directory Structure

  • /minllm - Main Rust crate with Python bindings
    • /src - Rust source code
    • /python - Python package wrapper
    • /examples - Example usage

Building from Source

  1. Clone the repository:
git clone https://github.com/yourusername/minllm
cd minllm
  1. Build the Rust library:
cd minllm
cargo build --release
  1. Build the Python package:
pip install maturin
maturin build --release
  1. Install the Python package:
pip install target/wheels/minllm-*.whl

Usage Examples

See the MinLLM README for detailed usage examples.

License

MIT License

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