2 unstable releases
0.2.0 | Jul 16, 2024 |
---|---|
0.1.0 | May 1, 2024 |
#272 in Machine learning
32 downloads per month
125KB
2.5K
SLoC
⚠️ Forked from openai-rs-api.
OpenAI API client library for Rust (unofficial)
The OpenAI API client Rust library provides convenient access to the OpenAI API from Rust applications.
Check out the docs.rs.
Installation:
Cargo.toml
[dependencies]
openai-rst = "0.1.0"
Usage
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:
Set OPENAI_API_KEY to environment variable
$ export OPENAI_API_KEY=sk-xxxxxxx
Create client
let client = Client::from_env().unwrap();
Create request
// Single request
let req = ChatCompletionRequest::new(
Model::GPT4(GPT4::GPT4),
ChatCompletionMessage {
role: MessageRole::User,
content: Content::Text(String::from("What is bitcoin?")),
name: None,
},
);
// Multiple requests
let req = ChatCompletionRequest::new_multi(
Model::GPT4(GPT4::GPT4),
vec![ChatCompletionMessage {
role: MessageRole::User,
content: Content::Text(String::from("What is bitcoin?")),
name: None,
}],
);
Send request
let result = client.chat_completion(req)?;
println!("Content: {:?}", result.get_choice());
Set OPENAI_API_BASE to environment variable (optional)
$ export OPENAI_API_BASE=https://api.openai.com/v1
Example of chat completion
use openai_rst::{chat_completion::ChatCompletionRequest, client::Client, models::{Model, GPT4}};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = Client::from_env().unwrap();
let req = "What is bitcoin?".into();
let result = client.chat_completion(req).await?;
println!("Content: {:?}", result.get_choice());
println!("Response Headers: {:?}", result.headers);
Ok(())
}
More Examples: examples
Check out the full API documentation for examples of all the available functions.
Supported APIs
- completions
- Chat
- Edits
- Images
- Embeddings
- Audio
- Files
- Fine-tuning
- Moderations
- Function calling
- Assistants
License
This project is licensed under MIT license.
Dependencies
~18–33MB
~632K SLoC