{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0e32e2da",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# ! pip install -r ../../../../requirements.txt -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "25aece1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from dotenv import load_dotenv\n",
    "from agent_framework import Agent\n",
    "from agent_framework.foundry import FoundryChatClient\n",
    "from azure.identity import AzureCliCredential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6b0e6968",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load_dotenv(\"../../../../.env\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5b560781",
   "metadata": {},
   "outputs": [],
   "source": [
    "AgentName = \"Coding-Agent\"\n",
    "AgentInstructions = \"You are a helpful assistant that can write and execute Python code to solve problems.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a59b49b",
   "metadata": {},
   "outputs": [],
   "source": [
    "agent = Agent(\n",
    "    client=FoundryChatClient(credential=AzureCliCredential()),\n",
    "    name=AgentName,\n",
    "    instructions=AgentInstructions,\n",
    "    tools=FoundryChatClient.get_code_interpreter_tool(),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1ac1d8db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Agent: ```python\n",
      "import random\n",
      "\n",
      "def random_even_1_to_100():\n",
      "    return random.randrange(2, 101, 2)\n",
      "\n",
      "print(random_even_1_to_100())\n",
      "```\n",
      "\n",
      "Example output:\n",
      "```python\n",
      "42\n",
      "```\n"
     ]
    }
   ],
   "source": [
    "query = \"Write a python function that returns a random even number between 1 and 100, and then call the function.\"\n",
    "result = await agent.run(query)\n",
    "print(f\"Agent: {result.text}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "agentdev",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}