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Project description

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 git@github.com:yaroslavyaroslav/llm_runner.git
cd llm_runner

  2. Build the project:

[!NOTE] python 3.8

maturin build --release
  1. 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.

Project details

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0.2.14

0.2.13

0.2.12

0.2.11

This version

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

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SHA256 2f4c91d36e7d52d201cce78e1e1374f5e7f88160d39a60e6a118a47f44e39fe1
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SHA256 59f0f57f99b61192dc67860d15d7095e553f879897f5159e4dea2acf59645cab
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SHA256 bdf69c21196c2a31b4d165ec1e12840c5752e322564e4ed301836ff0024aacd1
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SHA256 790e15c5b2c6530122630b1ab33716222547c3935919e07a16646ac5fdadaca2
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SHA256 d004c0a1f0086e03b03ed8dcb73b42c7f5a8f891148da6c67162bd1a23048201
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SHA256 4062f3c8f7f48399565b8138fb0432bd4463446f058238ec8dc7efbe52befc49
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SHA256 0adaa383fc2bee9b9ffb7c8ea8b92a03fb3fd2b5d15c49b3c6b9fc4e38f2e95d
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  • Tags: CPython 3.8, Windows x86
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