docs: update baidu_qianfan_endpoint.ipynb doc (#15940)

- **Description:** Updated the docs for the chat integration module
baidu_qianfan_endpoint.ipynb
  - **Issue:**  #15664 
  - **Dependencies:**N/A

docs/docs/integrations/chat/baidu_qianfan_endpoint.ipynb

@@ -53,9 +53,16 @@
     "- AquilaChat-7B"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Set up"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -65,83 +72,105 @@
     "from langchain_community.chat_models import QianfanChatEndpoint\n",
     "from langchain_core.language_models.chat_models import HumanMessage\n",
     "\n",
-    "os.environ[\"QIANFAN_AK\"] = \"your_ak\"\n",
+    "os.environ[\"QIANFAN_AK\"] = \"Your_api_key\"\n",
-    "os.environ[\"QIANFAN_SK\"] = \"your_sk\"\n",
+    "os.environ[\"QIANFAN_SK\"] = \"You_secret_Key\""
-    "\n",
+   ]
-    "chat = QianfanChatEndpoint(\n",
+  },
-    "    streaming=True,\n",
+  {
-    ")\n",
+   "cell_type": "markdown",
-    "res = chat([HumanMessage(content=\"write a funny joke\")])"
+   "metadata": {},
+   "source": [
+    "## Usage"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "data": {
-     "output_type": "stream",
+      "text/plain": [
-     "text": [
+       "AIMessage(content='您好！请问您需要什么帮助？我将尽力回答您的问题。')"
-      "[INFO] [09-15 20:00:36] logging.py:55 [t:139698882193216]: requesting llm api endpoint: /chat/eb-instant\n",
+      ]
-      "[INFO] [09-15 20:00:37] logging.py:55 [t:139698882193216]: async requesting llm api endpoint: /chat/eb-instant\n"
+     },
-     ]
+     "execution_count": 2,
-    },
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chat = QianfanChatEndpoint(streaming=True)\n",
+    "messages = [HumanMessage(content=\"Hello\")]\n",
+    "chat.invoke(messages)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "AIMessage(content='您好！有什么我可以帮助您的吗？')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "await chat.ainvoke(messages)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[AIMessage(content='您好！有什么我可以帮助您的吗？')]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "chat.batch([messages])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Streaming"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "chat resp: content='您好，您似乎输入' additional_kwargs={} example=False\n",
+      "您好！有什么我可以帮助您的吗？\n"
-      "chat resp: content='了一个话题标签，请问需要我帮您找到什么资料或者帮助您解答什么问题吗？' additional_kwargs={} example=False\n",
-      "chat resp: content='' additional_kwargs={} example=False\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[INFO] [09-15 20:00:39] logging.py:55 [t:139698882193216]: async requesting llm api endpoint: /chat/eb-instant\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "generations=[[ChatGeneration(text=\"The sea is a vast expanse of water that covers much of the Earth's surface. It is a source of travel, trade, and entertainment, and is also a place of scientific exploration and marine conservation. The sea is an important part of our world, and we should cherish and protect it.\", generation_info={'finish_reason': 'finished'}, message=AIMessage(content=\"The sea is a vast expanse of water that covers much of the Earth's surface. It is a source of travel, trade, and entertainment, and is also a place of scientific exploration and marine conservation. The sea is an important part of our world, and we should cherish and protect it.\", additional_kwargs={}, example=False))]] llm_output={} run=[RunInfo(run_id=UUID('d48160a6-5960-4c1d-8a0e-90e6b51a209b'))]\n",
-      "astream content='The sea is a vast' additional_kwargs={} example=False\n",
-      "astream content=' expanse of water, a place of mystery and adventure. It is the source of many cultures and civilizations, and a center of trade and exploration. The sea is also a source of life and beauty, with its unique marine life and diverse' additional_kwargs={} example=False\n",
-      "astream content=' coral reefs. Whether you are swimming, diving, or just watching the sea, it is a place that captivates the imagination and transforms the spirit.' additional_kwargs={} example=False\n"
      ]
     }
    ],
    "source": [
-    "from langchain.schema import HumanMessage\n",
+    "try:\n",
-    "from langchain_community.chat_models import QianfanChatEndpoint\n",
+    "    for chunk in chat.stream(messages):\n",
-    "\n",
+    "        print(chunk.content, end=\"\", flush=True)\n",
-    "chatLLM = QianfanChatEndpoint()\n",
+    "except TypeError as e:\n",
-    "res = chatLLM.stream([HumanMessage(content=\"hi\")], streaming=True)\n",
+    "    print(\"\")"
-    "for r in res:\n",
-    "    print(\"chat resp:\", r)\n",
-    "\n",
-    "\n",
-    "async def run_aio_generate():\n",
-    "    resp = await chatLLM.agenerate(\n",
-    "        messages=[[HumanMessage(content=\"write a 20 words sentence about sea.\")]]\n",
-    "    )\n",
-    "    print(resp)\n",
-    "\n",
-    "\n",
-    "await run_aio_generate()\n",
-    "\n",
-    "\n",
-    "async def run_aio_stream():\n",
-    "    async for res in chatLLM.astream(\n",
-    "        [HumanMessage(content=\"write a 20 words sentence about sea.\")]\n",
-    "    ):\n",
-    "        print(\"astream\", res)\n",
-    "\n",
-    "\n",
-    "await run_aio_stream()"
    ]
   },
   {
@@ -151,39 +180,36 @@
    "source": [
     "## Use different models in Qianfan\n",
     "\n",
-    "In the case you want to deploy your own model based on Ernie Bot or third-party open-source model, you could follow these steps:\n",
+    "The default model is ERNIE-Bot-turbo, in the case you want to deploy your own model based on Ernie Bot or third-party open-source model, you could follow these steps:\n",
     "\n",
-    "- 1. （Optional, if the model are included in the default models, skip it）Deploy your model in Qianfan Console, get your own customized deploy endpoint.\n",
+    "1. (Optional, if the model are included in the default models, skip it) Deploy your model in Qianfan Console, get your own customized deploy endpoint.\n",
-    "- 2. Set up the field called `endpoint` in the initialization:"
+    "2. Set up the field called `endpoint` in the initialization:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "data": {
-     "output_type": "stream",
+      "text/plain": [
-     "text": [
+       "AIMessage(content='Hello，可以回答问题了，我会竭尽全力为您解答，请问有什么问题吗？')"
-      "[INFO] [09-15 20:00:50] logging.py:55 [t:139698882193216]: requesting llm api endpoint: /chat/bloomz_7b1\n"
+      ]
-     ]
+     },
-    },
+     "execution_count": 6,
-    {
+     "metadata": {},
-     "name": "stdout",
+     "output_type": "execute_result"
-     "output_type": "stream",
-     "text": [
-      "content='你好！很高兴见到你。' additional_kwargs={} example=False\n"
-     ]
     }
    ],
    "source": [
-    "chatBloom = QianfanChatEndpoint(\n",
+    "chatBot = QianfanChatEndpoint(\n",
     "    streaming=True,\n",
-    "    model=\"BLOOMZ-7B\",\n",
+    "    model=\"ERNIE-Bot\",\n",
     ")\n",
-    "res = chatBloom([HumanMessage(content=\"hi\")])\n",
+    "\n",
-    "print(res)"
+    "messages = [HumanMessage(content=\"Hello\")]\n",
+    "chatBot.invoke(messages)"
    ]
   },
   {
@@ -202,35 +228,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
+     "data": {
-     "output_type": "stream",
+      "text/plain": [
-     "text": [
+       "AIMessage(content='您好！有什么我可以帮助您的吗？')"
-      "[INFO] [09-15 20:00:57] logging.py:55 [t:139698882193216]: requesting llm api endpoint: /chat/eb-instant\n"
+      ]
-     ]
+     },
-    },
+     "execution_count": 7,
-    {
+     "metadata": {},
-     "name": "stdout",
+     "output_type": "execute_result"
-     "output_type": "stream",
-     "text": [
-      "content='您好，您似乎输入' additional_kwargs={} example=False\n",
-      "content='了一个文本字符串，但并没有给出具体的问题或场景。' additional_kwargs={} example=False\n",
-      "content='如果您能提供更多信息，我可以更好地回答您的问题。' additional_kwargs={} example=False\n",
-      "content='' additional_kwargs={} example=False\n"
-     ]
     }
    ],
    "source": [
-    "res = chat.stream(\n",
+    "chat.invoke(\n",
-    "    [HumanMessage(content=\"hi\")],\n",
+    "    [HumanMessage(content=\"Hello\")],\n",
     "    **{\"top_p\": 0.4, \"temperature\": 0.1, \"penalty_score\": 1},\n",
-    ")\n",
+    ")"
-    "\n",
-    "for r in res:\n",
-    "    print(r)"
    ]
   }
  ],
@@ -250,7 +266,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.9.18"
   },
   "vscode": {
    "interpreter": {