langchain/docs/docs/integrations/chat/yandex.ipynb

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    "---\n",
    "sidebar_label: YandexGPT\n",
    "---"
   ]
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   "cell_type": "markdown",
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   "source": [
    "# ChatYandexGPT\n",
    "\n",
    "This notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) chat model.\n",
    "\n",
    "To use, you should have the `yandexcloud` python package installed."
   ]
  },
  {
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   "execution_count": null,
   "id": "f3a8f9cb-ff03-4fb8-8185-ff19f2b8fc89",
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   "source": [
    "%pip install --upgrade --quiet  yandexcloud"
   ]
  },
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   "source": [
    "First, you should [create service account](https://cloud.yandex.com/en/docs/iam/operations/sa/create) with the `ai.languageModels.user` role.\n",
    "\n",
    "Next, you have two authentication options:\n",
    "- [IAM token](https://cloud.yandex.com/en/docs/iam/operations/iam-token/create-for-sa).\n",
    "    You can specify the token in a constructor parameter `iam_token` or in an environment variable `YC_IAM_TOKEN`.\n",
    "\n",
    "- [API key](https://cloud.yandex.com/en/docs/iam/operations/api-key/create)\n",
    "    You can specify the key in a constructor parameter `api_key` or in an environment variable `YC_API_KEY`.\n",
    "\n",
    "To specify the model you can use `model_uri` parameter, see [the documentation](https://cloud.yandex.com/en/docs/yandexgpt/concepts/models#yandexgpt-generation) for more details.\n",
    "\n",
    "By default, the latest version of `yandexgpt-lite` is used from the folder specified in the parameter `folder_id` or `YC_FOLDER_ID` environment variable."
   ]
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   "id": "eba2d63b-f871-4f61-b55f-f6092bdc297a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_community.chat_models import ChatYandexGPT\n",
    "from langchain_core.messages import HumanMessage, SystemMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "75905d9a-dfae-43aa-95b9-a160280e43f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "chat_model = ChatYandexGPT()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "40844fe7-7fe5-4679-b6c9-1b3238807bdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content='Je adore le programmement.')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer = chat_model(\n",
    "    [\n",
    "        SystemMessage(\n",
    "            content=\"You are a helpful assistant that translates English to French.\"\n",
    "        ),\n",
    "        HumanMessage(content=\"I love programming.\"),\n",
    "    ]\n",
    ")\n",
    "answer"
   ]
  }
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