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 storage.
Standard route
POST messages to /v1/chat/completions using familiar JSON.
SDK-friendly
Works with clients that support custom base URLs.
Free to test
Create a free API key before upgrading.
Quick setup
Create an account, copy your yolo_... API key, set your base URL to https://yolo-auto.com/v1, and use a public model from the models page.
Best next pages
Docs · Pricing · Models · Free AI chat · Cheap LLM API
What the chat completions API does
Send a model, a messages array, and options to receive an assistant response. It is the core route used by chat clients and many agent frameworks.
Why use Yolo-Auto for chat completions
You get OpenAI-compatible ergonomics with a pricing model built for heavier developer usage.
Where to use it
Use it in desktop chat apps, coding agents, websites, backend services, scripts, and experiments.
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, then swap the model ID if the models page shows a newer default.
curl
curl https://yolo-auto.com/v1/chat/completions \
-H "Authorization: Bearer yolo_YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-35b-a3b",
"messages": [
{ "role": "user", "content": "Reply as a helpful assistant and explain the difference between system, user, and assistant messages." }
]
}'OpenAI SDK style
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: "qwen3.6-35b-a3b",
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
You need OpenAI-compatible LLM access, predictable cost, free testing, and no prompt or response storage.
You need image generation, every model under the sun, a managed IDE, or a consumer-only chatbot with no API workflow.
Read the docs, check models, compare pricing, or review the privacy policy.
Chat Completions API FAQ
What is the route?
POST https://yolo-auto.com/v1/chat/completions with your Yolo-Auto API key.
Can I list models?
Yes. Use GET /v1/models or see the public models page.
Can I use streaming?
Use the documented API behavior and test your client against the route.
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