# 1. Install official OpenAI package:
$ pip install openai

# 2. Point client to Saur runner (https://saur.run/v1 or http://localhost:8080/v1):
from openai import OpenAI

client = OpenAI(base_url="https://saur.run/v1", api_key="saur_local")

stream = client.chat.completions.create(
    model="google-antigravity",
    messages=[{"role": "user", "content": "Привет! Как работает Scale-to-Zero?"}],
    stream=True,
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

// 1. Install official OpenAI package:
$ npm install openai

// 2. Point client to Saur runner:
import OpenAI from 'openai';

const client = new OpenAI({ baseURL: 'https://saur.run/v1', apiKey: 'saur_local' });

const res = await client.chat.completions.create({
  model: 'google-antigravity',
  messages: [{ role: 'user', content: 'Привет!' }],
});

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

// 1. Install official openai-go or go-openai:
$ go get github.com/openai/openai-go

// 2. Configure standard client with BaseURL:
client := openai.NewClient(
    option.WithBaseURL("https://saur.run/v1"),
    option.WithAPIKey("saur_local"),
)

# Standard OpenAI-compatible completion endpoint
$ curl -X POST https://saur.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google-antigravity",
    "messages": [{"role": "user", "content": "Привет, помоги с пайплайном"}]
  }'

# OpenAPI 3.0.3 Contract: https://saur.run/openapi.yaml

<!-- Embed autonomous AI consultant before </body> on any website -->
<script 
  src="https://saur.run/widget.js" 
  data-agent-id="consultant" 
  data-title="ИИ-Консультант">
</script>