docs: Added langchain-community install to the integrations chat

docs/docs/integrations/chat/ai21.ipynb

@@ -130,4 +130,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/alibaba_cloud_pai_eas.ipynb

@@ -38,6 +38,15 @@
     "Another option is to use this code:"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 9,
@@ -134,4 +143,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

docs/docs/integrations/chat/anthropic.ipynb

@@ -33,12 +33,12 @@
     "\n",
     "| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/v0.2/docs/integrations/chat/anthropic) | Package downloads | Package latest |\n",
     "| :--- | :--- | :---: | :---: |  :---: | :---: | :---: |\n",
-    "| [ChatAnthropic](https://api.python.langchain.com/en/latest/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html) | [langchain-anthropic](https://api.python.langchain.com/en/latest/anthropic_api_reference.html) | ❌ | beta | ✅ | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-anthropic?style=flat-square&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-anthropic?style=flat-square&label=%20) |\n",
+    "| [ChatAnthropic](https://api.python.langchain.com/en/latest/chat_models/langchain_anthropic.chat_models.ChatAnthropic.html) | [langchain-anthropic](https://api.python.langchain.com/en/latest/anthropic_api_reference.html) | \u274c | beta | \u2705 | ![PyPI - Downloads](https://img.shields.io/pypi/dm/langchain-anthropic?style=flat-square&label=%20) | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-anthropic?style=flat-square&label=%20) |\n",
     "\n",
     "### Model features\n",
     "| [Tool calling](/docs/how_to/tool_calling/) | [Structured output](/docs/how_to/structured_output/) | JSON mode | [Image input](/docs/how_to/multimodal_inputs/) | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
     "| :---: | :---: | :---: | :---: |  :---: | :---: | :---: | :---: | :---: | :---: |\n",
-    "| ✅ | ✅ | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | \n",
+    "| \u2705 | \u2705 | \u274c | \u2705 | \u274c | \u274c | \u2705 | \u2705 | \u2705 | \u274c | \n",
     "\n",
     "## Setup\n",
     "\n",
@@ -346,4 +346,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/anthropic_functions.ipynb

@@ -137,4 +137,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/anyscale.ipynb

@@ -33,7 +33,7 @@
    },
    "outputs": [],
    "source": [
-    "%pip install --upgrade --quiet  langchain-openai"
+    "%pip install --upgrade --quiet  langchain-openai langchain-community"
    ]
   },
   {
@@ -46,7 +46,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      " ········\n"
+      " \u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\n"
      ]
     }
    ],
@@ -163,11 +163,11 @@
       "\n",
       "\tmeta-llama/Llama-2-7b-chat-hf\n",
       "\n",
-      "Ah, a fellow tech enthusiast! *adjusts glasses* I'm glad to share some technical details about myself. 🤓\n",
-      "Indeed, I'm a transformer model, specifically a BERT-like language model trained on a large corpus of text data. My architecture is based on the transformer framework, which is a type of neural network designed for natural language processing tasks. 🏠\n",
-      "As for the number of parameters, I have approximately 340 million. *winks* That's a pretty hefty number, if I do say so myself! These parameters allow me to learn and represent complex patterns in language, such as syntax, semantics, and more. 🤔\n",
-      "But don't ask me to do math in my head – I'm a language model, not a calculating machine! 😅 My strengths lie in understanding and generating human-like text, so feel free to chat with me anytime you'd like. 💬\n",
-      "Now, do you have any more technical questions for me? Or would you like to engage in a nice chat? 😊\n",
+      "Ah, a fellow tech enthusiast! *adjusts glasses* I'm glad to share some technical details about myself. \ud83e\udd13\n",
+      "Indeed, I'm a transformer model, specifically a BERT-like language model trained on a large corpus of text data. My architecture is based on the transformer framework, which is a type of neural network designed for natural language processing tasks. \ud83c\udfe0\n",
+      "As for the number of parameters, I have approximately 340 million. *winks* That's a pretty hefty number, if I do say so myself! These parameters allow me to learn and represent complex patterns in language, such as syntax, semantics, and more. \ud83e\udd14\n",
+      "But don't ask me to do math in my head \u2013 I'm a language model, not a calculating machine! \ud83d\ude05 My strengths lie in understanding and generating human-like text, so feel free to chat with me anytime you'd like. \ud83d\udcac\n",
+      "Now, do you have any more technical questions for me? Or would you like to engage in a nice chat? \ud83d\ude0a\n",
       "\n",
       "---\n",
       "\n",
@@ -228,4 +228,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/azure_chat_openai.ipynb

@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -qU langchain-openai"
+    "%pip install -qU langchain-openai langchain-community"
    ]
   },
   {
@@ -213,4 +213,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/azureml_chat_endpoint.ipynb

@@ -22,6 +22,15 @@
     "This notebook goes over how to use a chat model hosted on an `Azure Machine Learning Endpoint`."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,
@@ -199,4 +208,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}

docs/docs/integrations/chat/baichuan.ipynb

@@ -18,6 +18,15 @@
     "Baichuan chat models API by Baichuan Intelligent Technology. For more information, see [https://platform.baichuan-ai.com/docs/api](https://platform.baichuan-ai.com/docs/api)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -78,7 +87,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='首先，我们需要确定闰年的二月有多少天。闰年的二月有29天。\\n\\n然后，我们可以计算你的月薪：\\n\\n日薪 = 月薪 / (当月天数)\\n\\n所以，你的月薪 = 日薪 * 当月天数\\n\\n将数值代入公式：\\n\\n月薪 = 8元/天 * 29天 = 232元\\n\\n因此，你在闰年的二月的月薪是232元。')"
+       "AIMessage(content='\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u786e\u5b9a\u95f0\u5e74\u7684\u4e8c\u6708\u6709\u591a\u5c11\u5929\u3002\u95f0\u5e74\u7684\u4e8c\u6708\u670929\u5929\u3002\\n\\n\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u4f60\u7684\u6708\u85aa\uff1a\\n\\n\u65e5\u85aa = \u6708\u85aa / (\u5f53\u6708\u5929\u6570)\\n\\n\u6240\u4ee5\uff0c\u4f60\u7684\u6708\u85aa = \u65e5\u85aa * \u5f53\u6708\u5929\u6570\\n\\n\u5c06\u6570\u503c\u4ee3\u5165\u516c\u5f0f\uff1a\\n\\n\u6708\u85aa = 8\u5143/\u5929 * 29\u5929 = 232\u5143\\n\\n\u56e0\u6b64\uff0c\u4f60\u5728\u95f0\u5e74\u7684\u4e8c\u6708\u7684\u6708\u85aa\u662f232\u5143\u3002')"
       ]
      },
      "execution_count": 3,
@@ -87,7 +96,7 @@
     }
    ],
    "source": [
-    "chat([HumanMessage(content=\"我日薪8块钱，请问在闰年的二月，我月薪多少\")])"
+    "chat([HumanMessage(content=\"\u6211\u65e5\u85aa8\u5757\u94b1\uff0c\u8bf7\u95ee\u5728\u95f0\u5e74\u7684\u4e8c\u6708\uff0c\u6211\u6708\u85aa\u591a\u5c11\")])"
    ]
   },
   {
@@ -131,7 +140,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessageChunk(content='首先，我们需要确定闰年的二月有多少天。闰年的二月有29天。\\n\\n然后，我们可以计算你的月薪：\\n\\n日薪 = 月薪 / (当月天数)\\n\\n所以，你的月薪 = 日薪 * 当月天数\\n\\n将数值代入公式：\\n\\n月薪 = 8元/天 * 29天 = 232元\\n\\n因此，你在闰年的二月的月薪是232元。')"
+       "AIMessageChunk(content='\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u786e\u5b9a\u95f0\u5e74\u7684\u4e8c\u6708\u6709\u591a\u5c11\u5929\u3002\u95f0\u5e74\u7684\u4e8c\u6708\u670929\u5929\u3002\\n\\n\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u4f60\u7684\u6708\u85aa\uff1a\\n\\n\u65e5\u85aa = \u6708\u85aa / (\u5f53\u6708\u5929\u6570)\\n\\n\u6240\u4ee5\uff0c\u4f60\u7684\u6708\u85aa = \u65e5\u85aa * \u5f53\u6708\u5929\u6570\\n\\n\u5c06\u6570\u503c\u4ee3\u5165\u516c\u5f0f\uff1a\\n\\n\u6708\u85aa = 8\u5143/\u5929 * 29\u5929 = 232\u5143\\n\\n\u56e0\u6b64\uff0c\u4f60\u5728\u95f0\u5e74\u7684\u4e8c\u6708\u7684\u6708\u85aa\u662f232\u5143\u3002')"
       ]
      },
      "execution_count": 6,
@@ -140,7 +149,7 @@
     }
    ],
    "source": [
-    "chat([HumanMessage(content=\"我日薪8块钱，请问在闰年的二月，我月薪多少\")])"
+    "chat([HumanMessage(content=\"\u6211\u65e5\u85aa8\u5757\u94b1\uff0c\u8bf7\u95ee\u5728\u95f0\u5e74\u7684\u4e8c\u6708\uff0c\u6211\u6708\u85aa\u591a\u5c11\")])"
    ]
   }
  ],
@@ -165,4 +174,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

docs/docs/integrations/chat/baidu_qianfan_endpoint.ipynb

@@ -60,6 +60,15 @@
     "## Set up"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -91,7 +100,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='您好！请问您需要什么帮助？我将尽力回答您的问题。')"
+       "AIMessage(content='\u60a8\u597d\uff01\u8bf7\u95ee\u60a8\u9700\u8981\u4ec0\u4e48\u5e2e\u52a9\uff1f\u6211\u5c06\u5c3d\u529b\u56de\u7b54\u60a8\u7684\u95ee\u9898\u3002')"
       ]
      },
      "execution_count": 2,
@@ -113,7 +122,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='您好！有什么我可以帮助您的吗？')"
+       "AIMessage(content='\u60a8\u597d\uff01\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7684\u5417\uff1f')"
       ]
      },
      "execution_count": 3,
@@ -133,7 +142,7 @@
     {
      "data": {
       "text/plain": [
-       "[AIMessage(content='您好！有什么我可以帮助您的吗？')]"
+       "[AIMessage(content='\u60a8\u597d\uff01\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7684\u5417\uff1f')]"
       ]
      },
      "execution_count": 4,
@@ -161,7 +170,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "您好！有什么我可以帮助您的吗？\n"
+      "\u60a8\u597d\uff01\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7684\u5417\uff1f\n"
      ]
     }
    ],
@@ -194,7 +203,7 @@
     {
      "data": {
       "text/plain": [
-       "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？')"
+       "AIMessage(content='Hello\uff0c\u53ef\u4ee5\u56de\u7b54\u95ee\u9898\u4e86\uff0c\u6211\u4f1a\u7aed\u5c3d\u5168\u529b\u4e3a\u60a8\u89e3\u7b54\uff0c\u8bf7\u95ee\u6709\u4ec0\u4e48\u95ee\u9898\u5417\uff1f')"
       ]
      },
      "execution_count": 6,
@@ -234,7 +243,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='您好！有什么我可以帮助您的吗？')"
+       "AIMessage(content='\u60a8\u597d\uff01\u6709\u4ec0\u4e48\u6211\u53ef\u4ee5\u5e2e\u52a9\u60a8\u7684\u5417\uff1f')"
       ]
      },
      "execution_count": 7,
@@ -276,4 +285,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}

docs/docs/integrations/chat/bedrock.ipynb

@@ -47,7 +47,7 @@
     }
    ],
    "source": [
-    "%pip install --upgrade --quiet  langchain-aws"
+    "%pip install --upgrade --quiet  langchain-aws langchain-community"
    ]
   },
   {
@@ -89,7 +89,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content=\"Voici la traduction en français :\\n\\nJ'aime la programmation.\", additional_kwargs={'usage': {'prompt_tokens': 20, 'completion_tokens': 21, 'total_tokens': 41}}, response_metadata={'model_id': 'anthropic.claude-3-sonnet-20240229-v1:0', 'usage': {'prompt_tokens': 20, 'completion_tokens': 21, 'total_tokens': 41}}, id='run-994f0362-0e50-4524-afad-3c4f5bb11328-0')"
+       "AIMessage(content=\"Voici la traduction en fran\u00e7ais :\\n\\nJ'aime la programmation.\", additional_kwargs={'usage': {'prompt_tokens': 20, 'completion_tokens': 21, 'total_tokens': 41}}, response_metadata={'model_id': 'anthropic.claude-3-sonnet-20240229-v1:0', 'usage': {'prompt_tokens': 20, 'completion_tokens': 21, 'total_tokens': 41}}, id='run-994f0362-0e50-4524-afad-3c4f5bb11328-0')"
       ]
      },
      "execution_count": 12,
@@ -127,7 +127,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Voici la traduction en français :\n",
+      "Voici la traduction en fran\u00e7ais :\n",
       "\n",
       "J'aime la programmation."
      ]
@@ -231,4 +231,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/cohere.ipynb

@@ -226,7 +226,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='What color socks do bears wear?\\n\\nThey don’t wear socks, they have bear feet. \\n\\nHope you laughed! If not, maybe this will help: laughter is the best medicine, and a good sense of humor is infectious!', additional_kwargs={'documents': None, 'citations': None, 'search_results': None, 'search_queries': None, 'is_search_required': None, 'generation_id': '6edccf44-9bc8-4139-b30e-13b368f3563c', 'token_count': {'prompt_tokens': 68, 'response_tokens': 51, 'total_tokens': 119, 'billed_tokens': 108}}, response_metadata={'documents': None, 'citations': None, 'search_results': None, 'search_queries': None, 'is_search_required': None, 'generation_id': '6edccf44-9bc8-4139-b30e-13b368f3563c', 'token_count': {'prompt_tokens': 68, 'response_tokens': 51, 'total_tokens': 119, 'billed_tokens': 108}}, id='run-ef7f9789-0d4d-43bf-a4f7-f2a0e27a5320-0')"
+       "AIMessage(content='What color socks do bears wear?\\n\\nThey don\u2019t wear socks, they have bear feet. \\n\\nHope you laughed! If not, maybe this will help: laughter is the best medicine, and a good sense of humor is infectious!', additional_kwargs={'documents': None, 'citations': None, 'search_results': None, 'search_queries': None, 'is_search_required': None, 'generation_id': '6edccf44-9bc8-4139-b30e-13b368f3563c', 'token_count': {'prompt_tokens': 68, 'response_tokens': 51, 'total_tokens': 119, 'billed_tokens': 108}}, response_metadata={'documents': None, 'citations': None, 'search_results': None, 'search_queries': None, 'is_search_required': None, 'generation_id': '6edccf44-9bc8-4139-b30e-13b368f3563c', 'token_count': {'prompt_tokens': 68, 'response_tokens': 51, 'total_tokens': 119, 'billed_tokens': 108}}, id='run-ef7f9789-0d4d-43bf-a4f7-f2a0e27a5320-0')"
       ]
      },
      "execution_count": 20,
@@ -260,4 +260,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

docs/docs/integrations/chat/coze.ipynb

@@ -18,6 +18,15 @@
     "ChatCoze chat models API by coze.com. For more information, see [https://www.coze.com/open/docs/chat](https://www.coze.com/open/docs/chat)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install -qU langchain-community"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -86,13 +95,13 @@
     {
      "data": {
       "text/plain": [
-       "AIMessage(content='为你找到关于coze的信息如下：\n",
+       "AIMessage(content='\u4e3a\u4f60\u627e\u5230\u5173\u4e8ecoze\u7684\u4fe1\u606f\u5982\u4e0b\uff1a\n",
        "\n",
-       "Coze是一个由字节跳动推出的AI聊天机器人和应用程序编辑开发平台。\n",
+       "Coze\u662f\u4e00\u4e2a\u7531\u5b57\u8282\u8df3\u52a8\u63a8\u51fa\u7684AI\u804a\u5929\u673a\u5668\u4eba\u548c\u5e94\u7528\u7a0b\u5e8f\u7f16\u8f91\u5f00\u53d1\u5e73\u53f0\u3002\n",
        "\n",
-       "用户无论是否有编程经验，都可以通过该平台快速创建各种类型的聊天机器人、智能体、AI应用和插件，并将其部署在社交平台和即时聊天应用程序中。\n",
+       "\u7528\u6237\u65e0\u8bba\u662f\u5426\u6709\u7f16\u7a0b\u7ecf\u9a8c\uff0c\u90fd\u53ef\u4ee5\u901a\u8fc7\u8be5\u5e73\u53f0\u5feb\u901f\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u804a\u5929\u673a\u5668\u4eba\u3001\u667a\u80fd\u4f53\u3001AI\u5e94\u7528\u548c\u63d2\u4ef6\uff0c\u5e76\u5c06\u5176\u90e8\u7f72\u5728\u793e\u4ea4\u5e73\u53f0\u548c\u5373\u65f6\u804a\u5929\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002\n",
        "\n",
-       "国际版使用的模型比国内版更强大。')"
+       "\u56fd\u9645\u7248\u4f7f\u7528\u7684\u6a21\u578b\u6bd4\u56fd\u5185\u7248\u66f4\u5f3a\u5927\u3002')"
       ]
      },
      "execution_count": 3,
@@ -101,7 +110,7 @@
     }
    ],
    "source": [
-    "chat([HumanMessage(content=\"什么是扣子(coze)\")])"
+    "chat([HumanMessage(content=\"\u4ec0\u4e48\u662f\u6263\u5b50(coze)\")])"
    ]
   },
   {
@@ -149,7 +158,7 @@
     {
      "data": {
       "text/plain": [
-       "AIMessageChunk(content='为你查询到Coze是一个由字节跳动推出的AI聊天机器人和应用程序编辑开发平台。')"
+       "AIMessageChunk(content='\u4e3a\u4f60\u67e5\u8be2\u5230Coze\u662f\u4e00\u4e2a\u7531\u5b57\u8282\u8df3\u52a8\u63a8\u51fa\u7684AI\u804a\u5929\u673a\u5668\u4eba\u548c\u5e94\u7528\u7a0b\u5e8f\u7f16\u8f91\u5f00\u53d1\u5e73\u53f0\u3002')"
       ]
      },
      "execution_count": 6,
@@ -158,7 +167,7 @@
     }
    ],
    "source": [
-    "chat([HumanMessage(content=\"什么是扣子(coze)\")])"
+    "chat([HumanMessage(content=\"\u4ec0\u4e48\u662f\u6263\u5b50(coze)\")])"
    ]
   }
  ],
@@ -183,4 +192,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}