https://github.com/rosarp/llm-lsp
Language Server Protocol for accessing Large Language Models
https://github.com/rosarp/llm-lsp
codeium-client llm lsp lsp-server ollama-client
Last synced: 2 months ago
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Language Server Protocol for accessing Large Language Models
- Host: GitHub
- URL: https://github.com/rosarp/llm-lsp
- Owner: rosarp
- License: mit
- Created: 2024-04-19T14:15:21.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-02T10:09:11.000Z (9 months ago)
- Last Synced: 2025-08-03T03:02:51.231Z (2 months ago)
- Topics: codeium-client, llm, lsp, lsp-server, ollama-client
- Language: Rust
- Homepage: https://crates.io/crates/llm-lsp
- Size: 153 KB
- Stars: 29
- Watchers: 0
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# llm-lsp
A Language Server Protocol (LSP) implementation for integrating Large Language Models into text editors. This project enables developers to leverage AI-powered code completions directly within their favorite editors that support the LSP protocol.
## Overview
llm-lsp serves as a bridge between your text editor and AI code completion services. Currently supporting Codeium.ai, it provides intelligent code suggestions while you type, enhancing your coding productivity without leaving your editor.
## Features
- **AI-Powered Code Completion**
- Integration with [Codeium.ai](https://codeium.ai) for intelligent code suggestions
- Real-time completion as you type
- Context-aware suggestions based on your codebase
- **Performance**
- Asynchronous operation for responsive editing experience
- Efficient communication between editor and AI service
- **Flexibility**
- Support for multiple AI models through CLI options
- Multiple configuration profiles for different use cases
- Easy configuration management with OS-specific TOML configs
- **Editor Support**
- Seamless integration with LSP-compatible editors
- Detailed setup instructions for Helix editor
- Extensible design for future editor support
## Installation
### From Cargo (Recommended)
```bash
cargo install llm-lsp
```
### Build from Source
1. Clone the repository
2. Build the project:
```bash
cargo build --release
```
3. The binary will be available in `target/release/llm-lsp`
## Usage
### Initial Setup
1. Generate configuration:
```bash
llm-lsp generate-config
```
This will guide you through setting up your API key and other configurations.
### Command Line Interface
- Show help:
```bash
llm-lsp -h
```
- Display version:
```bash
llm-lsp -V
```
- Start LSP server with Codeium provider:
```bash
llm-lsp server -p codeium
```
### Editor Configuration
#### Helix Editor
Add the following to your Helix configuration:
```toml
[language-server.llm-lsp]
command = "llm-lsp"
args = ["server", "-p", "codeium"]
[[language]]
name = "rust" # Or any supported language
language-servers = [
"rust-analyzer", # Or any supported language server
"llm-lsp",
]
```
## Configuration
The configuration file is automatically created in the OS-specific config directory:
- Linux: `~/.config/llm-lsp`
- macOS: `~/Library/Application Support/llm-lsp`
- Windows: `%APPDATA%\llm-lsp`
## Roadmap
- [ ] CLI-based chat support
- [ ] Support for additional AI providers
- [ ] More editor-specific configurations
- [ ] Improved completion context handling
## Contributing
Contributions are welcome! However, please open an issue to discuss larger changes, to avoid doing a lot of work that may get rejected.
## License
This project is licensed under either of:
- MIT license
- Apache License, Version 2.0
at your option.
---
For more information, bug reports, or feature requests, please visit the [GitHub repository](https://github.com/rosarp/llm-lsp).