Struct Client

pub struct Client { /* private fields */ }

Implementations

impl Client

pub async fn create<T>( &self, engine_id: Option<&str>, model: &T, ) -> Result<Response, ResponseError>

where T: Endpoint,

Returns a new response from the OpenAI API.

Arguments

• engine_id - The engine id to use. Due to few endpoints this can be optional.
• model - The model to use. Each Model in the endpoints module is a corresponding model.

Example

use std::borrow::Cow;
use openai_rs::client::Client;
use openai_rs::endpoints::edits::Edit;
use openai_rs::endpoints::{Response, ResponseError};
use openai_rs::openai;

// Create the Client with your API key.
let client: Client = openai::new("api_key");

// Create the Edit struct with the input and instruction.
let edit = Edit {
     input: Cow::Borrowed("What day of the wek is it?"),
     instruction: Cow::Borrowed("Fix the spelling mistakes"),
     ..Default::default()
 };

// Send the request to the OpenAI API.
let response: Result<Response, ResponseError> = client.create(
    Some("text-davinci-edit-001"), &edit
).await;

Trait Implementations

impl Debug for Client

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.