The OpenAI API client Rust library provides convenient access to the OpenAI API from Rust applications.
Check out the docs.rs.
Cargo.toml
[dependencies]
openai-api-rs = "0.1.8"
The library needs to be configured with your account's secret key, which is available on the website. We recommend setting it as an environment variable. Here's an example of initializing the library with the API key loaded from an environment variable and creating a completion:
$ export OPENAI_API_KEY=sk-xxxxxxx
use openai_api_rs::v1::api::Client;
use std::env;
let client = Client::new(env::var("OPENAI_API_KEY").unwrap().to_string());
use openai_api_rs::v1::chat_completion::{self, ChatCompletionRequest};
let req = ChatCompletionRequest {
model: chat_completion::GPT4.to_string(),
messages: vec![chat_completion::ChatCompletionMessage {
role: chat_completion::MessageRole::user,
content: String::from("Hello OpenAI!"),
}],
};
let result = client.completion(req).await?;
println!("{:?}", result.choices[0].text);
use openai_api_rs::v1::api::Client;
use openai_api_rs::v1::chat_completion::{self, ChatCompletionRequest};
use std::env;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = Client::new(env::var("OPENAI_API_KEY").unwrap().to_string());
let req = ChatCompletionRequest {
model: chat_completion::GPT4.to_string(),
messages: vec![chat_completion::ChatCompletionMessage {
role: chat_completion::MessageRole::user,
content: Some(String::from("What is Bitcoin?")),
name: None,
function_call: None,
}],
functions: None,
function_call: None,
};
let result = client.chat_completion(req).await?;
println!("{:?}", result.choices[0].message.content);
Ok(())
}
More Examples: examples
Check out the full API documentation for examples of all the available functions.
This project is licensed under MIT license.