Gyors kezdés

1. Create an account in the console and copy the API key — it is shown once.
2. Point any OpenAI-compatible client at https://api.llmeu.com/v1.
3. Call llmeu-auto and read the llmeu block in the response.

cURL

curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llmeu-auto",
    "messages": [{"role": "user", "content": "Say hello from EU hosting."}],
    "llmeu": {"residency": "eu-hosted", "task": "general"}
  }'

Python

from openai import OpenAI

client = OpenAI(base_url="https://api.llmeu.com/v1", api_key="llmeu_live_xxxxxxxx.your-secret")

resp = client.chat.completions.create(
    model="llmeu-auto",
    messages=[{"role": "user", "content": "Say hello from EU hosting."}],
)
print(resp.choices[0].message.content)
print(resp.llmeu.inference_region, resp.llmeu.trace_id)

JavaScript

import OpenAI from "openai";

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

const resp = await client.chat.completions.create({
  model: "llmeu-auto",
  messages: [{ role: "user", content: "Say hello from EU hosting." }],
});
console.log(resp.choices[0].message.content);
console.log(resp.llmeu.inference_region);

API-referencia

Bizonyíték és ellenőrzés

Every response carries a llmeu block: trace_id, model_used, inference_region, sovereignty_class, route_reason and the retention that applied. Fetch the full row with GET /platform/v1/traces/{'{id}'}.