One request shape. One decision shape.

curl https://your-cenovagate-domain/api/public/gateway/v1/chat/completions \
  -H "Authorization: Bearer $CENOVAGATE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4.1-mini","messages":[{"role":"system","content":"You are a concise assistant."},{"role":"user","content":"Summarise in one sentence: the invoice export stops at 500 rows."}],"temperature":0.2,"max_tokens":300}'

const response = await fetch("https://your-cenovagate-domain/api/public/gateway/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.CENOVAGATE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "gpt-4.1-mini",
    "messages": [
      {
        "role": "system",
        "content": "You are a concise assistant."
      },
      {
        "role": "user",
        "content": "Summarise in one sentence: the invoice export stops at 500 rows."
      }
    ],
    "temperature": 0.2,
    "max_tokens": 300
  }),
});

const result = await response.json();
console.log(result.choices[0].message.content);
console.log(result.cenovagate); // request id, decision and estimated cost

import OpenAI from "openai";

// Only the base URL and key change — the request stays the same.
const client = new OpenAI({
  apiKey: process.env.CENOVAGATE_API_KEY,
  baseURL: "https://your-cenovagate-domain/api/public/gateway/v1",
});

const completion = await client.chat.completions.create({
  "model": "gpt-4.1-mini",
  "messages": [
    {
      "role": "system",
      "content": "You are a concise assistant."
    },
    {
      "role": "user",
      "content": "Summarise in one sentence: the invoice export stops at 500 rows."
    }
  ],
  "temperature": 0.2,
  "max_tokens": 300
});