{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# YandexGPT\n",
    "\n",
    "This notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt).\n",
    "\n",
    "To use, you should have the `yandexcloud` python package installed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install --upgrade --quiet  yandexcloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "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."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chains import LLMChain\n",
    "from langchain_community.llms import YandexGPT\n",
    "from langchain_core.prompts import PromptTemplate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "template = \"What is the capital of {country}?\"\n",
    "prompt = PromptTemplate.from_template(template)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = YandexGPT()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm_chain = LLMChain(prompt=prompt, llm=llm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The capital of Russia is Moscow.'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country = \"Russia\"\n",
    "\n",
    "llm_chain.invoke(country)"
   ]
  }
 ],
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