Customer support bot

import os, json
from openai import OpenAI

client = OpenAI(base_url="https://api.opper.ai/v3/compat", api_key=os.environ["OPPER_API_KEY"])

# A tiny order "database"
ORDERS = {
    "123123": {
        "email": "santa@clau.se",
        "status": "out for delivery",
        "eta": "2024-11-08",
        "items": ["Large wooden sled", "Reindeer harness (x2)"],
        "address": "Snowy Mountain 123, Greenland",
    }
}

def get_order_status(order_id: str, email: str) -> dict:
    order = ORDERS.get(order_id)
    if not order or order["email"].lower() != email.lower():
        return {"found": False, "reason": "No order matches that ID and email."}
    return {"found": True, **{k: order[k] for k in ("status", "eta", "items", "address")}}

tools = [{
    "type": "function",
    "function": {
        "name": "get_order_status",
        "description": "Look up an order's status and contents by order ID and the email used to place it.",
        "parameters": {
            "type": "object",
            "properties": {
                "order_id": {"type": "string"},
                "email": {"type": "string"},
            },
            "required": ["order_id", "email"],
        },
    },
}]

system = (
    "You are a friendly customer support agent for a sleigh supply store. "
    "Use the get_order_status tool to answer questions about orders. "
    "Ask for the order ID and email if you need them. Keep replies short."
)

def reply(messages):
    # Loop until the model answers in text instead of calling a tool.
    while True:
        r = client.chat.completions.create(model="openai/gpt-5-mini", messages=messages, tools=tools)
        msg = r.choices[0].message
        messages.append(msg)
        if not msg.tool_calls:
            return msg.content
        for call in msg.tool_calls:
            args = json.loads(call.function.arguments)
            result = get_order_status(**args)
            messages.append({"role": "tool", "tool_call_id": call.id, "content": json.dumps(result)})

messages = [{"role": "system", "content": system}]
while True:
    user = input("User: ")
    if user.lower() in {"quit", "exit"}:
        break
    messages.append({"role": "user", "content": user})
    print("Assistant:", reply(messages))

import OpenAI from "openai";
import readline from "node:readline/promises";

const client = new OpenAI({ baseURL: "https://api.opper.ai/v3/compat", apiKey: process.env.OPPER_API_KEY });

// A tiny order "database"
const ORDERS: Record<string, any> = {
  "123123": {
    email: "santa@clau.se",
    status: "out for delivery",
    eta: "2024-11-08",
    items: ["Large wooden sled", "Reindeer harness (x2)"],
    address: "Snowy Mountain 123, Greenland",
  },
};

function getOrderStatus(orderId: string, email: string) {
  const o = ORDERS[orderId];
  if (!o || o.email.toLowerCase() !== email.toLowerCase())
    return { found: false, reason: "No order matches that ID and email." };
  const { status, eta, items, address } = o;
  return { found: true, status, eta, items, address };
}

const tools = [{
  type: "function" as const,
  function: {
    name: "get_order_status",
    description: "Look up an order's status and contents by order ID and the email used to place it.",
    parameters: {
      type: "object",
      properties: { order_id: { type: "string" }, email: { type: "string" } },
      required: ["order_id", "email"],
    },
  },
}];

const system =
  "You are a friendly customer support agent for a sleigh supply store. " +
  "Use the get_order_status tool to answer questions about orders. " +
  "Ask for the order ID and email if you need them. Keep replies short.";

async function reply(messages: any[]) {
  // Loop until the model answers in text instead of calling a tool.
  while (true) {
    const r = await client.chat.completions.create({ model: "openai/gpt-5-mini", messages, tools });
    const msg = r.choices[0].message;
    messages.push(msg);
    if (!msg.tool_calls) return msg.content;
    for (const call of msg.tool_calls) {
      const args = JSON.parse(call.function.arguments);
      const result = getOrderStatus(args.order_id, args.email);
      messages.push({ role: "tool", tool_call_id: call.id, content: JSON.stringify(result) });
    }
  }
}

const rl = readline.createInterface({ input: process.stdin, output: process.stdout });
const messages: any[] = [{ role: "system", content: system }];
while (true) {
  const user = await rl.question("User: ");
  if (["quit", "exit"].includes(user.toLowerCase())) break;
  messages.push({ role: "user", content: user });
  console.log("Assistant:", await reply(messages));
}

pip install openai
export OPPER_API_KEY="your-api-key"
python app.py

npm install openai
export OPPER_API_KEY="your-api-key"
npx tsx app.ts