llm-runner 0.2.3

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Sublime LLM Communication Core

This project serves as a core engine for communicating with various Large Language Model (LLM) backends, with a primary focus on integration with Sublime Text. Currently, network communication is implemented for the OpenAI gateway, with plans to support OpenAI-alike models and Claude.

Core of OpenAI-sublime-text package.

Overview

• Functionality: This core is designed to interface with LLMs, manage cache entries, handle network requests, and process streaming data.
• Integrations: Primarily targeted at Sublime Text, with support for Python bindings via PyO3 to facilitate usage in Python environments.

Getting Started

Prerequisites

• Rust: Ensure cargo and rustc are installed.

Installation

1. Clone the repository:

   git clone [e-mail]:yaroslavyaroslav/llm_runner.git
   cd llm_runner
   

2. Build the project:

[!NOTE] python 3.8

maturin build --release

3. Install the it as dependency for ST (==under python 3.8 venv==):

[!NOTE] python 3.8

pip install target/wheels/llm_runner-0.2.0-cp38-cp38-macosx_11_0_arm64.whl --target '/path/to/Sublime Text/Lib/python38/' --upgrade

Usage

• Integrate with Sublime Text using the provided Python classes or directly using Rust API.
• Configure and use in your own extensions or projects that require LLM interaction.

Configuration

• Assistant Settings: Modify settings in AssistantSettings struct for your specific LLM configurations and preferences.
• Cache Handling: Manage cache directory and file paths as per your application's needs.

Development

All contributions are welcome! To get started with development:

1. Fork the repository.
2. Make your changes in a new branch.
3. Create a pull request when ready.

Testing

Run tests with:

cargo test

Utilize the extensive test suite included for validation of different components, including network client and cache handling.

Future Plans

• Additional LLM backend support.
• Enhance cache management.
• Expand Python bindings for broader application compatibility.

License

This project is licensed under custom license. See the LICENSE file for more details.