AI Gateway

curl https://api-v2.qbraid.com/api/v1/ai/chat/completions \
  -H "X-API-Key: $QBRAID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.5",
    "messages": [{ "role": "user", "content": "Explain the GHZ state in two sentences." }]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api-v2.qbraid.com/api/v1/ai",
    api_key="unused",  # the gateway reads X-API-Key below
    default_headers={"X-API-Key": QBRAID_API_KEY},
)

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Explain the GHZ state in two sentences."}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api-v2.qbraid.com/api/v1/ai",
  apiKey: "unused", // the gateway reads X-API-Key below
  defaultHeaders: { "X-API-Key": process.env.QBRAID_API_KEY },
});

const response = await client.chat.completions.create({
  model: "gpt-5.5",
  messages: [
    { role: "user", content: "Explain the GHZ state in two sentences." },
  ],
});
console.log(response.choices[0].message.content);

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api-v2.qbraid.com/api/v1/ai",
    api_key=QBRAID_API_KEY,  # the SDK sends this as x-api-key
)

response = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the GHZ state in two sentences."}],
)
print(response.content[0].text)