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curl https://api.eugpt.eu/v1/chat/completions \
  -H "Authorization: Bearer eugpt-IhrKeyHier..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "What is the GDPR?"}
    ],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.eugpt.eu/v1",
    api_key="eugpt-IhrKeyHier...",
)

# Streaming response
stream = client.chat.completions.create(
    model="llama-3.3-70b-instruct",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the GDPR?"},
    ],
    stream=True,
)

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

import OpenAI from "openai";

const client = new OpenAI({
    baseURL: "https://api.eugpt.eu/v1",
    apiKey: "eugpt-IhrKeyHier...",
});

// Streaming response
const stream = await client.chat.completions.create({
    model: "llama-3.3-70b-instruct",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        { role: "user", content: "What is the GDPR?" },
    ],
    stream: true,
});

for await (const chunk of stream) {
    process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

use OpenAI;

$client = OpenAI::factory()
    ->withBaseUri('https://api.eugpt.eu/v1')
    ->withApiKey('eugpt-IhrKeyHier...')
    ->make();

$response = $client->chat()->create([
    'model' => 'llama-3.3-70b-instruct',
    'messages' => [
        ['role' => 'user', 'content' => 'What is the GDPR?'],
    ],
]);

echo $response->choices[0]->message->content;