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   "source": [
    "from langgraph.graph import StateGraph, START, END, MessagesState\n",
    "from langchain.messages import HumanMessage\n",
    "from langchain_deepseek import ChatDeepSeek\n",
    "\n",
    "from core.config.settings import settings\n",
    "\n",
    "model = ChatDeepSeek(\n",
    "    model=\"deepseek-v4-flash\",\n",
    "    api_key=settings.DEEPSEEK_API_KEY,\n",
    "    extra_body={\n",
    "        \"thinking\": {\n",
    "            \"type\": \"disabled\"\n",
    "        }\n",
    "    }\n",
    ")\n",
    "\n",
    "def llm_node(state: MessagesState) -> MessagesState:\n",
    "    messages = state[\"messages\"]\n",
    "    response = model.invoke(messages)\n",
    "\n",
    "    return {\n",
    "        \"messages\": [response],\n",
    "    }\n",
    "\n",
    "builder = StateGraph(state_schema=MessagesState)\n",
    "builder.add_node(\"llm_node\", llm_node)\n",
    "builder.add_edge(START, \"llm_node\")\n",
    "builder.add_edge(\"llm_node\", END)\n",
    "\n",
    "graph = builder.compile()\n",
    "\n",
    "# 使用流式输出\n",
    "for chunk in graph.stream(\n",
    "        {\n",
    "            \"messages\":[HumanMessage(content=\"你好!\")]\n",
    "        },\n",
    "    stream_mode=[\"values\",\"messages\"],\n",
    "):\n",
    "    print(chunk)"
   ]
  }
 ],
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