gh_models 🧠

gh_models is a Rust client for accessing GitHub-hosted AI models via the https://models.github.ai API. It provides a simple interface for chat-based completions, similar to OpenAI’s API, but powered by GitHub’s model infrastructure.

✨ Features

Chat completion support for GitHub-hosted models (e.g. openai/gpt-4o)
Easy authentication via GitHub personal access token (PAT)
Async-ready with tokio
Clean and ergonomic API

🚀 Getting Started

1. Install

Add to your Cargo.toml:

gh_models = "0.1.0"

2. Authenticate

Set your GitHub token as an environment variable:

export GITHUB_TOKEN=your_personal_access_token

🔐 You can generate a PAT in your GitHub settings:
Managing your personal access tokens

📦 Example

use gh_models::{GHModels, types::ChatMessage};
use std::env;

#[tokio::main]
async fn main() {
    let token = env::var("GITHUB_TOKEN").expect("Missing GITHUB_TOKEN");
    let client = GHModels::new(token);

    let messages = vec![
        ChatMessage {
            role: "system".into(),
            content: "You are a helpful assistant.".into(),
        },
        ChatMessage {
            role: "user".into(),
            content: "What is the capital of France?".into(),
        },
    ];

    let response = client.chat_completion("openai/gpt-4o", messages, 1.0, 4096, 1.0).await.unwrap();
    println!("{}", response.choices[0].message.content);
}

To run this example:

cargo run --example simple_chat

📚 API Overview

`GHModels::new(token: String)`

Creates a new client using your GitHub token.

`chat_completion(...)`

Sends a chat request to the model endpoint. Parameters:

model: Model name (e.g. "openai/gpt-4o")
messages: A list of ChatMessage structs
temperature: Sampling temperature
max_tokens: Maximum output tokens
top_p: Nucleus sampling parameter

🛠️ Development

Clone the repo and run examples locally:

git clone https://github.com/pjdur/gh_models

cd gh_models

cargo run --example simple_chat

📄 License

MIT © Pjdur

🤝 Contributing

Pull requests welcome! If you’d like to add streaming support, error handling, or model introspection, feel free to open an issue or PR.

gh_models 0.1.2