Domain Specialist · language

Use Vedika Fast with Rust

Updated 2026-05-21 · By XALEN

How to use Vedika Fast (Domain Specialist, 8B) with Rust. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

Vedika Fast

8B · 32K context · $0.04 input

Framework

Rust

language · cargo add async-openai

1. Install

cargo add async-openai

2. Code

use async_openai::{Client, config::OpenAIConfig, types::*};

#[tokio::main]
async fn main() {
    let config = OpenAIConfig::new()
        .with_api_key("xln_test_YOUR_KEY")
        .with_api_base("https://api.xalen.io/v1");
    let client = Client::with_config(config);

    let request = CreateChatCompletionRequestArgs::default()
        .model("vedika-fast")
        .messages(vec![ChatCompletionRequestUserMessageArgs::default()
            .content("Hello from Rust!").build().unwrap().into()])
        .build().unwrap();

    let response = client.chat().create(request).await.unwrap();
    println!("{}", response.choices[0].message.content.as_ref().unwrap());
}

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Last updated: 2026-05-21