async-openai 0.16.0

Overview

async-openai is an unofficial Rust library for OpenAI.

• It's based on OpenAI OpenAPI spec
• Current features:
  • Assistants (Beta)
  • Audio (Whisper/TTS)
  • Chat
  • Completions (Legacy)
  • Edits (Deprecated)
  • Embeddings
  • Files
  • Fine-Tuning
  • Fine-Tunes (Deprecated)
  • Images
  • Microsoft Azure OpenAI Service
  • Models
  • Moderations
• Support SSE streaming on available APIs
• All requests including form submissions (except SSE streaming) are retried with exponential backoff when rate limited by the API server.
• Ergonomic builder pattern for all request objects.

Note on Azure OpenAI Service (AOS): async-openai primarily implements OpenAI spec, and doesn't try to maintain parity with spec of AOS.

Usage

The library reads API key from the environment variable OPENAI_API_KEY.

# On macOS/Linux
export OPENAI_API_KEY='sk-...'

# On Windows Powershell
$Env:OPENAI_API_KEY='sk-...'

• Visit examples directory on how to use async-openai.
• Visit docs.rs/async-openai for docs.

Image Generation Example

use async_openai::{
    types::{CreateImageRequestArgs, ImageSize, ResponseFormat},
    Client,
};
use std::error::Error;

#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
    // create client, reads OPENAI_API_KEY environment variable for API key.
    let client = Client::new();

    let request = CreateImageRequestArgs::default()
        .prompt("cats on sofa and carpet in living room")
        .n(2)
        .response_format(ResponseFormat::Url)
        .size(ImageSize::S256x256)
        .user("async-openai")
        .build()?;

    let response = client.images().create(request).await?;

    // Download and save images to ./data directory.
    // Each url is downloaded and saved in dedicated Tokio task.
    // Directory is created if it doesn't exist.
    let paths = response.save("./data").await?;

    paths
        .iter()
        .for_each(|path| println!("Image file path: {}", path.display()));

    Ok(())
}

Contributing

Thank you for your time to contribute and improve the project, I'd be happy to have you!

A good starting point would be existing open issues.

License

This project is licensed under MIT license.