Build with leading open models

curl -X POST "https://api.xalorra.com/v1/chat/completions" \
  -H "Authorization: Bearer $XALORRA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1",
    "messages": [
      { "role": "user", "content": "Summarize this dataset and propose cleaning steps." }
    ],
    "temperature": 0.2
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xalorra.com/v1",
    api_key="$XALORRA_API_KEY",
)

resp = client.chat.completions.create(
    model="deepseek-r1",
    messages=[{"role": "user", "content": "Summarize this dataset and propose cleaning steps."}],
    temperature=0.2,
)

print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.xalorra.com/v1",
  apiKey: process.env.XALORRA_API_KEY!,
});

const resp = await client.chat.completions.create({
  model: "deepseek-r1",
  messages: [{ role: "user", content: "Summarize this dataset and propose cleaning steps." }],
  temperature: 0.2,
});

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