langchain/docs/extras/modules/agents/how_to/custom-functions-with-openai-functions-agent.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "g9EmNu5DD9YI"
   },
   "source": [
    "# Custom functions with OpenAI Functions Agent\n",
    "\n",
    "This notebook goes through how to integrate custom functions with OpenAI Functions agent."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LFKylC3CPtTl"
   },
   "source": [
    "Install libraries which are required to run this example notebook:\n",
    "\n",
    "```bash\n",
    "pip install -q openai langchain yfinance\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E2DqzmEGDPak"
   },
   "source": [
    "## Define custom functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "SiucthMs6SIK"
   },
   "outputs": [],
   "source": [
    "import yfinance as yf\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "\n",
    "def get_current_stock_price(ticker):\n",
    "    \"\"\"Method to get current stock price\"\"\"\n",
    "\n",
    "    ticker_data = yf.Ticker(ticker)\n",
    "    recent = ticker_data.history(period=\"1d\")\n",
    "    return {\"price\": recent.iloc[0][\"Close\"], \"currency\": ticker_data.info[\"currency\"]}\n",
    "\n",
    "\n",
    "def get_stock_performance(ticker, days):\n",
    "    \"\"\"Method to get stock price change in percentage\"\"\"\n",
    "\n",
    "    past_date = datetime.today() - timedelta(days=days)\n",
    "    ticker_data = yf.Ticker(ticker)\n",
    "    history = ticker_data.history(start=past_date)\n",
    "    old_price = history.iloc[0][\"Close\"]\n",
    "    current_price = history.iloc[-1][\"Close\"]\n",
    "    return {\"percent_change\": ((current_price - old_price) / old_price) * 100}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vRLINGvQR1rO",
    "outputId": "68230a4b-dda2-4273-b956-7439661e3785"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'price': 334.57000732421875, 'currency': 'USD'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_current_stock_price(\"MSFT\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "57T190q235mD",
    "outputId": "c6ee66ec-0659-4632-85d1-263b08826e68"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'percent_change': 1.014466941163018}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_stock_performance(\"MSFT\", 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MT8QsdyBDhwg"
   },
   "source": [
    "## Make custom tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "NvLOUv-XP3Ap"
   },
   "outputs": [],
   "source": [
    "from typing import Type\n",
    "from pydantic import BaseModel, Field\n",
    "from langchain.tools import BaseTool\n",
    "\n",
    "\n",
    "class CurrentStockPriceInput(BaseModel):\n",
    "    \"\"\"Inputs for get_current_stock_price\"\"\"\n",
    "\n",
    "    ticker: str = Field(description=\"Ticker symbol of the stock\")\n",
    "\n",
    "\n",
    "class CurrentStockPriceTool(BaseTool):\n",
    "    name = \"get_current_stock_price\"\n",
    "    description = \"\"\"\n",
    "        Useful when you want to get current stock price.\n",
    "        You should enter the stock ticker symbol recognized by the yahoo finance\n",
    "        \"\"\"\n",
    "    args_schema: Type[BaseModel] = CurrentStockPriceInput\n",
    "\n",
    "    def _run(self, ticker: str):\n",
    "        price_response = get_current_stock_price(ticker)\n",
    "        return price_response\n",
    "\n",
    "    def _arun(self, ticker: str):\n",
    "        raise NotImplementedError(\"get_current_stock_price does not support async\")\n",
    "\n",
    "\n",
    "class StockPercentChangeInput(BaseModel):\n",
    "    \"\"\"Inputs for get_stock_performance\"\"\"\n",
    "\n",
    "    ticker: str = Field(description=\"Ticker symbol of the stock\")\n",
    "    days: int = Field(description=\"Timedelta days to get past date from current date\")\n",
    "\n",
    "\n",
    "class StockPerformanceTool(BaseTool):\n",
    "    name = \"get_stock_performance\"\n",
    "    description = \"\"\"\n",
    "        Useful when you want to check performance of the stock.\n",
    "        You should enter the stock ticker symbol recognized by the yahoo finance.\n",
    "        You should enter days as number of days from today from which performance needs to be check.\n",
    "        output will be the change in the stock price represented as a percentage.\n",
    "        \"\"\"\n",
    "    args_schema: Type[BaseModel] = StockPercentChangeInput\n",
    "\n",
    "    def _run(self, ticker: str, days: int):\n",
    "        response = get_stock_performance(ticker, days)\n",
    "        return response\n",
    "\n",
    "    def _arun(self, ticker: str):\n",
    "        raise NotImplementedError(\"get_stock_performance does not support async\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PVKoqeCyFKHF"
   },
   "source": [
    "## Create Agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "yY7qNB7vSQGh"
   },
   "outputs": [],
   "source": [
    "from langchain.agents import AgentType\n",
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.agents import initialize_agent\n",
    "\n",
    "llm = ChatOpenAI(model=\"gpt-3.5-turbo-0613\", temperature=0)\n",
    "\n",
    "tools = [CurrentStockPriceTool(), StockPerformanceTool()]\n",
    "\n",
    "agent = initialize_agent(tools, llm, agent=AgentType.OPENAI_FUNCTIONS, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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    },
    "id": "4X96xmgwRkcC",
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   "outputs": [
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     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new  chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_current_stock_price` with `{'ticker': 'MSFT'}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[36;1m\u001b[1;3m{'price': 334.57000732421875, 'currency': 'USD'}\u001b[0m\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_stock_performance` with `{'ticker': 'MSFT', 'days': 180}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[33;1m\u001b[1;3m{'percent_change': 40.163963297187905}\u001b[0m\u001b[32;1m\u001b[1;3mThe current price of Microsoft stock is $334.57 USD. \n",
      "\n",
      "Over the past 6 months, Microsoft stock has performed well with a 40.16% increase in its price.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'The current price of Microsoft stock is $334.57 USD. \\n\\nOver the past 6 months, Microsoft stock has performed well with a 40.16% increase in its price.'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.run(\n",
    "    \"What is the current price of Microsoft stock? How it has performed over past 6 months?\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 285
    },
    "id": "nkZ_vmAcT7Al",
    "outputId": "092ebc55-4d28-4a4b-aa2a-98ae47ceec20"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new  chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_current_stock_price` with `{'ticker': 'GOOGL'}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[36;1m\u001b[1;3m{'price': 118.33000183105469, 'currency': 'USD'}\u001b[0m\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_current_stock_price` with `{'ticker': 'META'}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[36;1m\u001b[1;3m{'price': 287.04998779296875, 'currency': 'USD'}\u001b[0m\u001b[32;1m\u001b[1;3mThe recent stock price of Google (GOOGL) is $118.33 USD and the recent stock price of Meta (META) is $287.05 USD.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'The recent stock price of Google (GOOGL) is $118.33 USD and the recent stock price of Meta (META) is $287.05 USD.'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.run(\"Give me recent stock prices of Google and Meta?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 466
    },
    "id": "jLU-HjMq7n1o",
    "outputId": "a42194dd-26ed-4b5a-d4a2-1038420045c4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new  chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_stock_performance` with `{'ticker': 'MSFT', 'days': 90}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[33;1m\u001b[1;3m{'percent_change': 18.043096235165596}\u001b[0m\u001b[32;1m\u001b[1;3m\n",
      "Invoking: `get_stock_performance` with `{'ticker': 'GOOGL', 'days': 90}`\n",
      "\n",
      "\n",
      "\u001b[0m\u001b[33;1m\u001b[1;3m{'percent_change': 17.286155760642853}\u001b[0m\u001b[32;1m\u001b[1;3mIn the past 3 months, Microsoft (MSFT) has performed better than Google (GOOGL). Microsoft's stock price has increased by 18.04% while Google's stock price has increased by 17.29%.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "\"In the past 3 months, Microsoft (MSFT) has performed better than Google (GOOGL). Microsoft's stock price has increased by 18.04% while Google's stock price has increased by 17.29%.\""
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent.run(\n",
    "    \"In the past 3 months, which stock between Microsoft and Google has performed the best?\"\n",
    ")"
   ]
  }
 ],
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