JavaScript / Node.js

npm install openai

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://kymaapi.com/v1",
  apiKey: "kyma-your-api-key",
});

const response = await client.chat.completions.create({
  model: "qwen-3.6-plus",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "What is machine learning?" },
  ],
});

console.log(response.choices[0].message.content);

const stream = await client.chat.completions.create({
  model: "llama-3.3-70b",
  messages: [{ role: "user", content: "Write a story" }],
  stream: true,
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content;
  if (content) process.stdout.write(content);
}

const response = await fetch("https://kymaapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer kyma-your-api-key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen-3.6-plus",
    messages: [{ role: "user", content: "Hello!" }],
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

const API = "https://kymaapi.com/v1";
const headers = {
  Authorization: "Bearer kyma-your-api-key",
  "Content-Type": "application/json",
};

const submit = await fetch(`${API}/images/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "flux-2-pro",
    prompt: "An aerial photo of a misty mountain range at sunrise",
    size: "16:9",
  }),
}).then((r) => r.json());

let job;
do {
  await new Promise((r) => setTimeout(r, 3000));
  job = await fetch(`${API}/jobs/${submit.id}`, { headers }).then((r) => r.json());
} while (!["succeeded", "failed", "expired", "refunded"].includes(job.status));

console.log(job.output.url);