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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

Clone the repository:

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

Build the project:

[!NOTE] python 3.8

maturin build --release

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:

Fork the repository.
Make your changes in a new branch.
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

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.2.14

Mar 17, 2026

0.2.13

Mar 13, 2026

0.2.12

May 9, 2025

0.2.11

May 8, 2025

0.2.10

May 6, 2025

0.2.9

May 6, 2025

0.2.8

Apr 8, 2025

0.2.7

Mar 2, 2025

0.2.6

Feb 26, 2025

This version

0.2.5

Feb 18, 2025

0.2.3

Feb 8, 2025

0.2.2

Feb 7, 2025

0.2.1

Feb 2, 2025

0.2.0

Feb 1, 2025

0.1.0

Jan 31, 2025

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llm-runner 0.2.5

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BLAKE2b-256	`fe04e6fe47f0c187b0c93f5bb22a172a08b8078d332e1e6201c81924a92c1794`

Algorithm	Hash digest
SHA256	`dc58ab729f07bc9e176a4642a7b872c88e85afeefba445aad6bb99b3fe2ef912`
MD5	`d832e9d5d5d7cf2a9b1a151e33d29430`
BLAKE2b-256	`6b18c84c5b70fe88120a29c189a29453f79a967a9cc9dea25d559ca891f588db`

Algorithm	Hash digest
SHA256	`2d4a7f7ea8c99d57780e963eb70ea6706d9b682acb5301c2d60c88d128ee6686`
MD5	`def4e20f94c8c150da4a65240ce8423f`
BLAKE2b-256	`779d6b0fbad2b5fb504b3769e2f1d9842fe3910d8108004d79a9745d62e044d4`

Algorithm	Hash digest
SHA256	`617e37b3c7a821f0d9b170c5de5b340c577ef4179e212bd4bc3df9cf43bff204`
MD5	`3721c51785c15b906bb30173ae352c0a`
BLAKE2b-256	`af4c51fad718b402435425c7460bf9252a980610a41177a6aadf7d24d01ca8d7`

Algorithm	Hash digest
SHA256	`8e3c270ad58c387a25ef54344b9bc758e50c2275bfc937cc9fdc83d6e735a235`
MD5	`746a347e7c1986133f2bcdc2248b89f8`
BLAKE2b-256	`23785c36b51e48d09bf56299217f47eb3cf1047ed069467a72c897ed483439b3`

Algorithm	Hash digest
SHA256	`61a8980949788c69e8302fb98dc858c15c16b2fbbb4d783d0e00caa1dd08090d`
MD5	`e2e88f4c1a4c7496c503b4e02f7f49fc`
BLAKE2b-256	`2cb45b1d9a053a5d267a209c97d97a18cc77e79088e593461716a5778a7b0821`

Algorithm	Hash digest
SHA256	`4e9670a0b00efb2192980f81238a47a29997776c62c4e0f17d9526fbd3ae3d4c`
MD5	`d4497d26e6e57f2f0f269a4c4f3d777b`
BLAKE2b-256	`21d34bcd5298d1def91a2a1cbb8ae2fd661883b7e5b44e816e4f5e441a0b33a3`

Algorithm	Hash digest
SHA256	`4cf67466643214ee8537fb49c277fe7adaeeea30cf704eec4af8ab87c3b86747`
MD5	`82b79ae870b2560171cfa8175bc23d7b`
BLAKE2b-256	`67cbae0515df24e928efc5047d9120a69914a88d55729194f60eb29dd415cc7e`