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 = "0.2.0"

2. Authenticate

Set your GitHub token as an environment variable:

export GITHUB_TOKEN=your_personal_access_token

🔐 Your token must have the Models permission enabled.
You can generate a PAT in your GitHub settings. Managing your personal access tokens

Basic Example (Single‑Turn)

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);
}

Run it:

cargo run --example simple_chat

Multi‑Turn Chat Example (REPL)

This example shows how to maintain conversation history and interact with the model in a loop.

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

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

    // Start with a system prompt
    let mut messages = vec![
        ChatMessage {
            role: "system".into(),
            content: "You are a helpful assistant.".into(),
        }
    ];

    loop {
        print!("You: ");
        io::stdout().flush().unwrap();

        let mut input = String::new();
        io::stdin().read_line(&mut input).unwrap();
        let input = input.trim().to_string();

        if input == "exit" {
            break;
        }

        // Add user message
        messages.push(ChatMessage {
            role: "user".into(),
            content: input.clone(),
        });

        // Call the model
        let response = client
            .chat_completion("openai/gpt-4o", &messages, 1.0, 4096, 1.0)
            .await
            .unwrap();

        let reply = response.choices[0].message.content.clone();
        println!("Assistant: {}", reply);

        // Add assistant reply to history
        messages.push(ChatMessage {
            role: "assistant".into(),
            content: reply,
        });
    }
}

📚 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 slice of ChatMessage (&[ChatMessage])
• 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
cargo run --example multi_turn

📄 License

MIT © Pjdur

🤝 Contributing

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