{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-08-13T09:21:13.074558Z",
     "start_time": "2026-08-13T09:21:12.287225Z"
    }
   },
   "source": [
    "from typing import Literal\n",
    "\n",
    "from dotenv import load_dotenv\n",
    "from langchain.chat_models import init_chat_model\n",
    "import os\n",
    "\n",
    "from langchain_core.messages import ToolMessage\n",
    "from langgraph.graph import MessagesState, StateGraph, START, END\n",
    "\n",
    "from loguru import logger\n",
    "\n",
    "load_dotenv(override=True)\n",
    "\n",
    "llm = init_chat_model(\n",
    "    model=\"openai:qwen3.6-flash\",\n",
    "    base_url=os.getenv(\"BASE_URL\"),\n",
    "    api_key=os.getenv(\"API_KEY\")\n",
    ")\n",
    "\n",
    "from langchain.tools import tool\n",
    "\n",
    "\n",
    "@tool(parse_docstring=True)\n",
    "def get_weather(city: str) -> str:\n",
    "    \"\"\"\n",
    "    查询指定城市天气\n",
    "\n",
    "    Args:\n",
    "        city: 城市名称\n",
    "    \"\"\"\n",
    "    return f\"{city}今天天气不错\"\n",
    "\n",
    "\n",
    "@tool(parse_docstring=True)\n",
    "def get_new(home_or_abroad: bool) -> str:\n",
    "    \"\"\"\n",
    "    查询国内外新闻\n",
    "\n",
    "    Args:\n",
    "        home_or_abroad: True，查询国内新闻。False，查询国外新闻\n",
    "    \"\"\"\n",
    "    if home_or_abroad:\n",
    "        return \"Kimi 3 发布\"\n",
    "    return \"Anthropic破产\"\n",
    "\n",
    "\n",
    "llm_with_tools = llm.bind_tools(tools=[get_weather, get_new])\n",
    "\n",
    "tools_by_name = {\n",
    "    \"get_new\": get_new,\n",
    "    \"get_weather\": get_weather\n",
    "}"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-13T09:21:13.097176Z",
     "start_time": "2026-08-13T09:21:13.079676Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def llm_node(state: MessagesState) -> MessagesState:\n",
    "    response = llm_with_tools.invoke(state[\"messages\"])\n",
    "    return {\n",
    "        \"messages\": [response]\n",
    "    }\n",
    "\n",
    "\n",
    "# def tool_node(state: MessagesState) -> MessagesState:\n",
    "#     last_msg = state[\"messages\"][-1]\n",
    "#     if not last_msg.tool_calls:\n",
    "#         return {}\n",
    "#\n",
    "#     tool_msgs = []\n",
    "#     for tool_call in last_msg.tool_calls:\n",
    "#         tool = tools_by_name[tool_call[\"name\"]]\n",
    "#         logger.info(f\"工具{tool_call[\"name\"]}被调用，对应的tool_call:{tool_call}\")\n",
    "#         tool_res = tool.invoke(tool_call[\"args\"])\n",
    "#         tool_msg = ToolMessage(\n",
    "#             name=tool_call[\"name\"],\n",
    "#             content=tool_res,\n",
    "#             tool_call_id=tool_call[\"id\"]\n",
    "#         )\n",
    "#         tool_msgs.append(tool_msg)\n",
    "#     return {\n",
    "#         \"messages\": [tool_msgs]\n",
    "#     }\n",
    "\n",
    "\n",
    "def router(state: MessagesState) -> Literal[\"tool_node\", END]:\n",
    "    if state[\"messages\"][-1].tool_calls:\n",
    "        return \"tool_node\"\n",
    "    return END"
   ],
   "id": "197859b38e6cdc8f",
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-13T09:21:13.105691Z",
     "start_time": "2026-08-13T09:21:13.098337Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from langgraph.prebuilt.tool_node import ToolNode\n",
    "\n",
    "builder = StateGraph(state_schema=MessagesState)\n",
    "builder.add_node(\"llm_node\", llm_node)\n",
    "builder.add_node(\"tool_node\", ToolNode(tools=[get_new, get_weather]))\n",
    "builder.add_edge(START, \"llm_node\")\n",
    "builder.add_conditional_edges(\"llm_node\", router, path_map=[\"tool_node\", END])\n",
    "builder.add_edge(\"tool_node\", \"llm_node\")\n",
    "graph = builder.compile()"
   ],
   "id": "d7535e27f7e7d3f",
   "outputs": [],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-13T09:21:15.673171Z",
     "start_time": "2026-08-13T09:21:13.110948Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from IPython.display import display\n",
    "\n",
    "display(graph)"
   ],
   "id": "d8691d77b8857251",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<langgraph.graph.state.CompiledStateGraph object at 0x11081acf0>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-13T09:21:26.253094Z",
     "start_time": "2026-08-13T09:21:15.695629Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from langchain_core.messages import HumanMessage\n",
    "from rich import print as rp\n",
    "\n",
    "res = graph.invoke({\"messages\": [HumanMessage(\"今天北京天气如何？国内有哪些新闻\")]})\n",
    "for msg in res['messages']:\n",
    "    msg.pretty_print()"
   ],
   "id": "90799a0baaf94a1a",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================\u001B[1m Human Message \u001B[0m=================================\n",
      "\n",
      "今天北京天气如何？国内有哪些新闻\n",
      "==================================\u001B[1m Ai Message \u001B[0m==================================\n",
      "Tool Calls:\n",
      "  get_weather (call_763ec6c0b813497aba36bbfe)\n",
      " Call ID: call_763ec6c0b813497aba36bbfe\n",
      "  Args:\n",
      "    city: 北京\n",
      "  get_new (call_7ed3fab8ae8a45ddac811c62)\n",
      " Call ID: call_7ed3fab8ae8a45ddac811c62\n",
      "  Args:\n",
      "    home_or_abroad: True\n",
      "=================================\u001B[1m Tool Message \u001B[0m=================================\n",
      "Name: get_weather\n",
      "\n",
      "北京今天天气不错\n",
      "=================================\u001B[1m Tool Message \u001B[0m=================================\n",
      "Name: get_new\n",
      "\n",
      "Kimi 3 发布\n",
      "==================================\u001B[1m Ai Message \u001B[0m==================================\n",
      "\n",
      "北京今天的天气情况为不错。关于国内的新闻，目前获取到的信息显示有“Kimi 3 发布”这一动态，若需了解更全面的国内新闻详情，可能需要进一步查询补充。\n"
     ]
    }
   ],
   "execution_count": 5
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}