랭그래프에 도구(Tool) 추가하기

02 랭그래프에 도구(Tool) 추가하기.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 랭그래프에 도구(Tool) 추가하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.messages import AIMessage\n",
    "from langchain_core.tools import tool\n",
    "\n",
    "from langgraph.prebuilt import ToolNode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 도구 추가하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "@tool(\"get_weather\") \n",
    "def get_weather(location: str):\n",
    "    \"\"\"Call to get the weather in a given location.\"\"\"\n",
    "    if location in [\"서울\", \"Seoul\"]:\n",
    "        return \"기온은 24도이고, 날씨가 좋아요!\"\n",
    "    else:\n",
    "        return \"기온은 18도이고, 날씨가 흐려요!\"\n",
    "    \n",
    "\n",
    "@tool(\"coolest_cities\")\n",
    "def coolest_cities():\n",
    "    \"\"\"Get a list of coolest cities.\"\"\"\n",
    "    return (\"서울\", \"부산\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name='get_weather' description='Call to get the weather in a given location.' args_schema=<class 'langchain_core.utils.pydantic.get_weather'> func=<function get_weather at 0x11da67ec0>\n",
      "name='coolest_cities' description='Get a list of coolest cities.' args_schema=<class 'langchain_core.utils.pydantic.coolest_cities'> func=<function coolest_cities at 0x11da66b60>\n"
     ]
    }
   ],
   "source": [
    "print(get_weather)\n",
    "print(coolest_cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "tools = [get_weather, coolest_cities]\n",
    "tool_node = ToolNode(tools)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tools(tags=None, recurse=True, func_accepts_config=True, func_accepts={'writer': False}, tools_by_name={'get_weather': StructuredTool(name='get_weather', description='Call to get the weather in a given location.', args_schema=<class 'langchain_core.utils.pydantic.get_weather'>, func=<function get_weather at 0x11da67ec0>), 'coolest_cities': StructuredTool(name='coolest_cities', description='Get a list of coolest cities.', args_schema=<class 'langchain_core.utils.pydantic.coolest_cities'>, func=<function coolest_cities at 0x11da66b60>)}, handle_tool_errors=True)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tool_node"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Key 'title' is not supported in schema, ignoring\n",
      "Key 'title' is not supported in schema, ignoring\n",
      "Key 'title' is not supported in schema, ignoring\n"
     ]
    }
   ],
   "source": [
    "from langchain_google_genai import ChatGoogleGenerativeAI\n",
    "\n",
    "llm_with_tools = ChatGoogleGenerativeAI(\n",
    "    model=\"gemini-1.5-flash\",\n",
    "    temperature=0,\n",
    ").bind_tools(tools)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'get_weather',\n",
       "  'args': {'location': '서울'},\n",
       "  'id': '95002805-0006-4584-822e-75f0a7589374',\n",
       "  'type': 'tool_call'}]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "llm_with_tools.invoke(\"서울 날씨는?\").tool_calls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'coolest_cities',\n",
       "  'args': {},\n",
       "  'id': '01446505-dba7-476a-a7de-e9905783f909',\n",
       "  'type': 'tool_call'}]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "llm_with_tools.invoke(\"한국에서 가장 추운 도시?\").tool_calls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'messages': [ToolMessage(content='기온은 24도이고, 날씨가 좋아요!', name='get_weather', tool_call_id='216899ba-a3c5-4ac1-b3cf-cbc1b410a5f0')]}"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tool_node.invoke({\"messages\": [llm_with_tools.invoke(\"서울 날씨는?\")]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Annotated, Union, Literal, TypedDict\n",
    "from langchain_core.messages import HumanMessage\n",
    "from langchain_core.tools import tool\n",
    "from langgraph.graph import START, END, StateGraph, MessagesState"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "def should_continue(state: MessagesState) -> Literal[\"tools\", END]:\n",
    "    last_message = state[\"messages\"][-1]\n",
    "    if last_message.tool_calls:\n",
    "        return \"tools\"\n",
    "    else:\n",
    "        return END"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "def call_llm(state: MessagesState):\n",
    "    messages = state[\"messages\"]\n",
    "    response = llm_with_tools.invoke(messages)\n",
    "    return {\"messages\": [response]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "workflow = StateGraph(MessagesState)\n",
    "\n",
    "workflow.add_node(\"agent\", call_llm)\n",
    "workflow.add_node(\"tools\", tool_node)\n",
    "\n",
    "workflow.set_entry_point(\"agent\")\n",
    "\n",
    "workflow.add_conditional_edges(\n",
    "    \"agent\",\n",
    "    should_continue,\n",
    "    {\"tools\": \"tools\", END: END},\n",
    ")\n",
    "\n",
    "workflow.add_edge(\"tools\", \"agent\")\n",
    "\n",
    "graph = workflow.compile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython import display\n",
    "\n",
    "display.Image(graph.get_graph().draw_mermaid_png())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'서울은 지금 날씨가 좋아요! 기온은 24도입니다. \\n'"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_state = graph.invoke({\"messages\": [HumanMessage(content=\"서울은 지금 추워? 더워?\")]})\n",
    "final_state['messages'][-1:][0].content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'agent': {'messages': [AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_weather', 'arguments': '{\"location\": \"\\\\uc11c\\\\uc6b8\"}'}}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-e6bfc12e-d3e4-4c4b-8de5-47929c246219-0', tool_calls=[{'name': 'get_weather', 'args': {'location': '서울'}, 'id': '234cb4d0-a4e6-48e6-8279-b7e9846edfdd', 'type': 'tool_call'}], usage_metadata={'input_tokens': 76, 'output_tokens': 15, 'total_tokens': 91})]}}\n",
      "{'tools': {'messages': [ToolMessage(content='기온은 24도이고, 날씨가 좋아요!', name='get_weather', id='9be8c10d-d949-4cda-ae23-b4e6a0805247', tool_call_id='234cb4d0-a4e6-48e6-8279-b7e9846edfdd')]}}\n",
      "{'agent': {'messages': [AIMessage(content='기온은 24도이고, 날씨가 좋아요! \\n', additional_kwargs={}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-2ad6d3c0-45de-4f44-bfc3-0140ad1ad8d1-0', usage_metadata={'input_tokens': 122, 'output_tokens': 15, 'total_tokens': 137})]}}\n"
     ]
    }
   ],
   "source": [
    "for chunk in graph.stream({\"messages\": [HumanMessage(content=\"서울 날씨는?\")]}):\n",
    "    print(chunk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'messages': [HumanMessage(content='서울 날씨는?', additional_kwargs={}, response_metadata={}, id='a51e588f-b2ae-420e-ac51-26c19df43cae')]}\n",
      "{'messages': [HumanMessage(content='서울 날씨는?', additional_kwargs={}, response_metadata={}, id='a51e588f-b2ae-420e-ac51-26c19df43cae'), AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_weather', 'arguments': '{\"location\": \"\\\\uc11c\\\\uc6b8\"}'}}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-f1b0a2b4-58ef-4a51-a515-955d230f97a7-0', tool_calls=[{'name': 'get_weather', 'args': {'location': '서울'}, 'id': '6a5d3978-7f18-4dd3-a673-b0c521090092', 'type': 'tool_call'}], usage_metadata={'input_tokens': 76, 'output_tokens': 15, 'total_tokens': 91})]}\n",
      "{'messages': [HumanMessage(content='서울 날씨는?', additional_kwargs={}, response_metadata={}, id='a51e588f-b2ae-420e-ac51-26c19df43cae'), AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_weather', 'arguments': '{\"location\": \"\\\\uc11c\\\\uc6b8\"}'}}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-f1b0a2b4-58ef-4a51-a515-955d230f97a7-0', tool_calls=[{'name': 'get_weather', 'args': {'location': '서울'}, 'id': '6a5d3978-7f18-4dd3-a673-b0c521090092', 'type': 'tool_call'}], usage_metadata={'input_tokens': 76, 'output_tokens': 15, 'total_tokens': 91}), ToolMessage(content='기온은 24도이고, 날씨가 좋아요!', name='get_weather', id='9c440713-d8cd-4dda-9f9e-8ff85c6a9ced', tool_call_id='6a5d3978-7f18-4dd3-a673-b0c521090092')]}\n",
      "{'messages': [HumanMessage(content='서울 날씨는?', additional_kwargs={}, response_metadata={}, id='a51e588f-b2ae-420e-ac51-26c19df43cae'), AIMessage(content='', additional_kwargs={'function_call': {'name': 'get_weather', 'arguments': '{\"location\": \"\\\\uc11c\\\\uc6b8\"}'}}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-f1b0a2b4-58ef-4a51-a515-955d230f97a7-0', tool_calls=[{'name': 'get_weather', 'args': {'location': '서울'}, 'id': '6a5d3978-7f18-4dd3-a673-b0c521090092', 'type': 'tool_call'}], usage_metadata={'input_tokens': 76, 'output_tokens': 15, 'total_tokens': 91}), ToolMessage(content='기온은 24도이고, 날씨가 좋아요!', name='get_weather', id='9c440713-d8cd-4dda-9f9e-8ff85c6a9ced', tool_call_id='6a5d3978-7f18-4dd3-a673-b0c521090092'), AIMessage(content='기온은 24도이고, 날씨가 좋아요! \\n', additional_kwargs={}, response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'safety_ratings': [{'category': 'HARM_CATEGORY_SEXUALLY_EXPLICIT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HATE_SPEECH', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_HARASSMENT', 'probability': 'NEGLIGIBLE', 'blocked': False}, {'category': 'HARM_CATEGORY_DANGEROUS_CONTENT', 'probability': 'NEGLIGIBLE', 'blocked': False}]}, id='run-61a3a23a-109f-4331-b96a-997688a7a62e-0', usage_metadata={'input_tokens': 122, 'output_tokens': 15, 'total_tokens': 137})]}\n"
     ]
    }
   ],
   "source": [
    "for chunk in graph.stream({\"messages\": [HumanMessage(content=\"서울 날씨는?\")]}, stream_mode=\"values\"):\n",
    "    print(chunk)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================\u001b[1m Human Message \u001b[0m=================================\n",
      "\n",
      "서울 날씨는?\n",
      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
      "Tool Calls:\n",
      "  get_weather (78e19e92-67e8-4b6a-99db-5db3affa4620)\n",
      " Call ID: 78e19e92-67e8-4b6a-99db-5db3affa4620\n",
      "  Args:\n",
      "    location: 서울\n",
      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
      "Name: get_weather\n",
      "\n",
      "기온은 24도이고, 날씨가 좋아요!\n",
      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
      "\n",
      "기온은 24도이고, 날씨가 좋아요!\n"
     ]
    }
   ],
   "source": [
    "for chunk in graph.stream({\"messages\": [HumanMessage(content=\"서울 날씨는?\")]}, stream_mode=\"values\"):\n",
    "    chunk[\"messages\"][-1].pretty_print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================\u001b[1m Human Message \u001b[0m=================================\n",
      "\n",
      "가장 추운 도시의 날씨는 어때?\n",
      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
      "Tool Calls:\n",
      "  coolest_cities (dc36e609-ddd3-4dac-893c-58d6f300496c)\n",
      " Call ID: dc36e609-ddd3-4dac-893c-58d6f300496c\n",
      "  Args:\n",
      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
      "Name: coolest_cities\n",
      "\n",
      "[\"서울\", \"부산\"]\n",
      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
      "Tool Calls:\n",
      "  get_weather (059461fb-88c0-4565-aacc-7b3426316184)\n",
      " Call ID: 059461fb-88c0-4565-aacc-7b3426316184\n",
      "  Args:\n",
      "    location: 서울\n",
      "=================================\u001b[1m Tool Message \u001b[0m=================================\n",
      "Name: get_weather\n",
      "\n",
      "기온은 24도이고, 날씨가 좋아요!\n",
      "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
      "\n",
      "서울의 기온은 24도이고, 날씨가 좋아요!\n"
     ]
    }
   ],
   "source": [
    "for chunk in graph.stream({\"messages\": [HumanMessage(content=\"가장 추운 도시의 날씨는 어때?\")]}, stream_mode=\"values\"):\n",
    "    chunk[\"messages\"][-1].pretty_print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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