Quickstart

from openai import OpenAI

client = OpenAI(
    base_url="https://gateway.metrixllm.com/openai/v1",
    api_key="mtx_..."  # Your MetrixLLM API key
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.metrixllm.com/openai/v1",
  apiKey: "mtx_...", // Your MetrixLLM API key
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

from anthropic import Anthropic

client = Anthropic(
    base_url="https://gateway.metrixllm.com/anthropic",
    api_key="mtx_..."
)

message = client.messages.create(
    model="claude-opus-4-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(message.content[0].text)

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  baseURL: "https://gateway.metrixllm.com/anthropic",
  apiKey: "mtx_...",
});

const message = await client.messages.create({
  model: "claude-opus-4-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(message.content[0].text);

curl https://gateway.metrixllm.com/openai/v1/chat/completions \
  -H "Authorization: Bearer mtx_..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

use reqwest::Client;
use serde_json::json;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = Client::new();
    let res = client
        .post("https://gateway.metrixllm.com/openai/v1/chat/completions")
        .bearer_auth("mtx_...")
        .json(&json!({
            "model": "gpt-4o",
            "messages": [{"role": "user", "content": "Hello!"}]
        }))
        .send()
        .await?;
    println!("{}", res.text().await?);
    Ok(())
}