OpenAI SDK

pip install openai

uv add openai

npm install openai

pnpm add openai

bun add openai

import os
from openai import OpenAI

client = OpenAI(base_url="https://test-demo.pinerouter.ai/v1", api_key=os.environ["API_KEY"])

r = client.chat.completions.create(
    model="gpt-6-luna",
    messages=[{"role": "user", "content": "Name three rivers in Europe."}],
)
print(r.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://test-demo.pinerouter.ai/v1", apiKey: process.env.API_KEY });

const r = await client.chat.completions.create({
  model: "gpt-6-luna",
  messages: [{ role: "user", content: "Name three rivers in Europe." }],
});
console.log(r.choices[0].message.content);

stream = client.chat.completions.create(
    model="gpt-6-luna",
    messages=[{"role": "user", "content": "Write a haiku about rivers."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.usage:
        print("\n", chunk.usage)

const stream = await client.chat.completions.create({
  model: "gpt-6-luna",
  messages: [{ role: "user", content: "Write a haiku about rivers." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
  if (chunk.usage) console.log("\n", chunk.usage);
}

import json

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Current weather for a city",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]},
    },
}]
messages = [{"role": "user", "content": "What is the weather in Paris?"}]

r = client.chat.completions.create(model="gpt-6-luna", messages=messages, tools=tools)
msg = r.choices[0].message
if msg.tool_calls:
    messages.append(msg.to_dict())
    for call in msg.tool_calls:
        city = json.loads(call.function.arguments)["city"]
        messages.append({"role": "tool", "tool_call_id": call.id, "content": f"Sunny, 21 C in {city}"})
    r = client.chat.completions.create(model="gpt-6-luna", messages=messages, tools=tools)
print(r.choices[0].message.content)

import type { ChatCompletionMessageParam, ChatCompletionTool } from "openai/resources/chat/completions";

const tools: ChatCompletionTool[] = [{
  type: "function",
  function: {
    name: "get_weather",
    description: "Current weather for a city",
    parameters: { type: "object", properties: { city: { type: "string" } }, required: ["city"] },
  },
}];
const messages: ChatCompletionMessageParam[] = [{ role: "user", content: "What is the weather in Paris?" }];

let r = await client.chat.completions.create({ model: "gpt-6-luna", messages, tools });
const msg = r.choices[0].message;
if (msg.tool_calls?.length) {
  messages.push(msg);
  for (const call of msg.tool_calls) {
    if (call.type !== "function") continue;
    const { city } = JSON.parse(call.function.arguments);
    messages.push({ role: "tool", tool_call_id: call.id, content: `Sunny, 21 C in ${city}` });
  }
  r = await client.chat.completions.create({ model: "gpt-6-luna", messages, tools });
}
console.log(r.choices[0].message.content);

img = client.images.generate(model="z-image", prompt="A red paper boat on a calm lake", size="1024x1024")
print(img.data[0].url)

const img = await client.images.generate({ model: "z-image", prompt: "A red paper boat on a calm lake", size: "1024x1024" });
console.log(img.data?.[0]?.url);