OpenAI SDK

pip install openai

npm install openai

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://router.nodul.ru/api/v1",
    api_key=os.environ["NODUL_ROUTER_API_KEY"],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://router.nodul.ru/api/v1",
  apiKey: process.env.NODUL_ROUTER_API_KEY,
});

completion = client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
    max_tokens=200,
    extra_body={
        "models": ["google/gemma-3-4b-it"],
        "provider": {"zdr": True},
    },
)
print(completion.choices[0].message.content)
print("cost, PnP:", completion.usage.cost)

const completion = await client.chat.completions.create({
  model: "openai/gpt-4o-mini",
  messages: [{ role: "user", content: "Hello" }],
  max_tokens: 200,
  // @ts-expect-error: router fields, not part of the OpenAI types
  models: ["google/gemma-3-4b-it"],
  provider: { zdr: true },
});
console.log(completion.choices[0].message.content);

stream = client.chat.completions.create(
    model="google/gemma-3-4b-it",
    messages=[{"role": "user", "content": "Write a haiku."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

const stream = await client.chat.completions.create({
  model: "google/gemma-3-4b-it",
  messages: [{ role: "user", content: "Write a haiku." }],
  stream: true,
});
for await (const chunk of stream) process.stdout.write(chunk.choices[0]?.delta?.content ?? "");