Customer-Facing Chatbot

import OpenAI from "openai";

const client = new OpenAI({
  apiKey:  "sk-routor-YOUR_PROFILE_KEY",
  baseURL: "https://api.routor.io/v1",
});

async function chat(history: { role: string; content: string }[]) {
  const response = await client.chat.completions.create({
    model:    "auto",
    messages: history,
    stream:   true,
  });

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

// Multi-turn example
await chat([
  { role: "system",    content: "You are a helpful customer support assistant for Acme Inc." },
  { role: "user",      content: "What are your business hours?" },
  { role: "assistant", content: "We're open Monday–Friday, 9am–6pm EST." },
  { role: "user",      content: "Can I get a refund on an order from last week?" },
]);

from openai import OpenAI

client = OpenAI(
    api_key="sk-routor-YOUR_PROFILE_KEY",
    base_url="https://api.routor.io/v1",
)

def chat(history: list[dict]) -> str:
    response = client.chat.completions.create(
        model="auto",
        messages=history,
    )
    return response.choices[0].message.content

history = [
    {"role": "system", "content": "You are a helpful customer support assistant for Acme Inc."},
    {"role": "user",   "content": "What are your business hours?"},
]

reply = chat(history)
history.append({"role": "assistant", "content": reply})
history.append({"role": "user", "content": "Can I get a refund on an order from last week?"})
reply = chat(history)

const stream = await client.chat.completions.create({
  model:    "auto",
  messages: history,
  stream:   true,
});

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