{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chains import SimpleSequentialChain\n",
    "from langchain.llms import OpenAI\n",
    "from langchain import LLMChain\n",
    "from langchain import PromptTemplate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm1 = OpenAI(temperature=0.5)\n",
    "prompt1 = PromptTemplate(\n",
    "    input_variables=[\"arithmetic\"],\n",
    "    template=\"请出一道小学四则运算题，{arithmetic}，只有题目，没有答案。\",\n",
    ")\n",
    "chain1 = LLMChain(llm=llm1,prompt=prompt1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm2 = OpenAI(temperature=0.5)\n",
    "prompt2 = PromptTemplate(\n",
    "    input_variables=[\"question\"],\n",
    "    template=\"{question}，答案是？\",\n",
    ")\n",
    "chain2 = LLMChain(llm=llm2, prompt=prompt2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new SimpleSequentialChain chain...\u001b[0m\n",
      "\u001b[36;1m\u001b[1;3m\n",
      "\n",
      "6 - 3 = ?\u001b[0m\n",
      "\u001b[33;1m\u001b[1;3m\n",
      "\n",
      "3\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'3'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "overall_chain = SimpleSequentialChain(chains=[chain1, chain2], verbose=True)\n",
    "overall_chain.run(\"减法\").strip()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
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  "orig_nbformat": 4
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