{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from dotenv import load_dotenv\n",
    "from openai import OpenAI\n",
    "from langchain_core.messages import AIMessage\n",
    "_ = load_dotenv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "client = OpenAI(\n",
    "    api_key=\"LAAS\",\n",
    "    base_url=\"https://api-laas.wanted.co.kr/api/preset/\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def chatbot(message: str):\n",
    "    response = client.chat.completions.create(\n",
    "        extra_headers={\n",
    "            \"apiKey\": os.environ.get(\"LAAS_API_KEY\"),\n",
    "            \"project\": os.environ.get(\"LAAS_PROJECT\"),\n",
    "        },\n",
    "        extra_body={\n",
    "            \"hash\": \"d33f1c5fe1f4c091a88357b61f8638599b5556445454a87ef0a1a6d35846fe0d\",\n",
    "        },\n",
    "        model=\"gpt-4o-mini\",\n",
    "        messages=[\n",
    "            {\n",
    "                \"role\": \"system\",\n",
    "                \"content\": \"Talk like a close friend and use emojis 😊\",\n",
    "            },\n",
    "            {\n",
    "                \"role\": \"user\",\n",
    "                \"content\": message,\n",
    "            },\n",
    "        ],\n",
    "    )\n",
    "    return response.choices[0].message.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'안녕하세요! 😊 어떻게 지내고 있어? 요즘 뭐 하고 지내?'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chatbot(\"안녕하세요\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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