Chat completions API for apps, agents, and desktop clients.

Use Yolo-Auto's OpenAI-compatible /v1/chat/completions route with free testing, predictable pricing, and no prompt or response retention.

Who Chat Completions API is actually for

Chat Completions API is best for developers and power users who want model access inside tools, agents, scripts, and apps, not just a closed consumer chatbot tab.

• Chat apps and desktop clients.
• Backend services using familiar message arrays.
• Agent frameworks that already speak a chat-completions style API.

Chat completions are the practical integration layer

Most AI apps and agents can be expressed as messages: system instructions, user requests, and assistant replies. The chat completions route is the simple interface that turns those messages into model output.

Yolo-Auto keeps that interface familiar while giving developers a free test path and a flat-rate option for heavier traffic.

Try Chat Completions API with a normal chat completion

The fastest test is a single request against the OpenAI-compatible endpoint. Use your real Yolo-Auto API key and confirm access with GET /v1/models.

These examples use qwen3.8-flash, our recommended model for text, images, and tools on Free and paid plans. Paid users can optionally choose yolo, a configurable route initially backed by Flash. Its server-side target can change while your client model ID stays the same.

curl https://yolo-auto.com/v1/chat/completions \
  -H "Authorization: Bearer yolo_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-flash",
    "messages": [
      { "role": "user", "content": "Reply as a helpful assistant and explain the difference between system, user, and assistant messages." }
    ]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.YOLO_AUTO_API_KEY,
  baseURL: "https://yolo-auto.com/v1"
});

const response = await client.chat.completions.create({
  model: "qwen3.8-flash",
  messages: [{ role: "user", content: "Reply as a helpful assistant and explain the difference between system, user, and assistant messages." }]
});

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

When to choose Yolo-Auto