{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4111c9d4",
   "metadata": {},
   "source": [
    "# Tools as OpenAI Functions\n",
    "\n",
    "This notebook goes over how to use LangChain tools as OpenAI functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d65d8a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatOpenAI\n",
    "from langchain.schema import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "abd8dc72",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = ChatOpenAI(model=\"gpt-3.5-turbo-0613\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dce2cdb7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.tools import MoveFileTool, format_tool_to_openai_function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3b3dc766",
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = [MoveFileTool()]\n",
    "functions = [format_tool_to_openai_function(t) for t in tools]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "230a7939",
   "metadata": {},
   "outputs": [],
   "source": [
    "message = model.predict_messages([HumanMessage(content='move file foo to bar')], functions=functions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c118c940",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content='', additional_kwargs={'function_call': {'name': 'move_file', 'arguments': '{\\n  \"source_path\": \"foo\",\\n  \"destination_path\": \"bar\"\\n}'}}, example=False)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "message"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d618e3d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'move_file',\n",
       " 'arguments': '{\\n  \"source_path\": \"foo\",\\n  \"destination_path\": \"bar\"\\n}'}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "message.additional_kwargs['function_call']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "751da79f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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