OpenAI

import { Verlon } from '@verlon-ai/sdk';

const verlon = new Verlon({ apiKey: process.env.VERLON_API_KEY });

const response = await verlon.chat({
  gateId: process.env.GATE_ID,
  model: 'gpt-4o', // optional — overrides the gate's configured model
  data: {
    messages: [{ role: 'user', content: 'Hello!' }],
  },
});

console.log(response.content);

const stream = await openai.chat.completions.create({
  gateId: process.env.GATE_ID,
  messages: [{ role: 'user', content: 'Tell me a joke.' }],
  stream: true,
});

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

from openai import OpenAI

client = OpenAI(base_url="https://api.verlon.ai/v1", api_key="sk-vrln-...")

resp = client.responses.create(
    model="<your-gate-id>",
    input=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=[weather_tool],
)

try {
  const response = await openai.chat.completions.create({
    gateId: process.env.GATE_ID,
    messages: [{ role: 'user', content: 'Hello!' }],
  });
} catch (error) {
  if (error.status === 404) {
    console.error('Gate not found — check GATE_ID');
  } else if (error.status === 429) {
    console.error('Rate limited — retry after the reset');
  } else {
    throw error;
  }
}