{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new LLMBashChain chain...\u001b[0m\n",
      "重命名，把chain_bash.ipynb重命名为chain_bash_auto.ipynb\u001b[32;1m\u001b[1;3m\n",
      "\n",
      "```bash\n",
      "mv chain_bash.ipynb chain_bash_auto.ipynb\n",
      "```\u001b[0m\n",
      "Code: \u001b[33;1m\u001b[1;3m['mv chain_bash.ipynb chain_bash_auto.ipynb']\u001b[0m\n",
      "Answer: \u001b[33;1m\u001b[1;3m\u001b[0m\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from langchain.chains import LLMBashChain\n",
    "from langchain.llms import OpenAI\n",
    "\n",
    "llm = OpenAI(temperature=0)\n",
    "\n",
    "# text = \"查看当前目录下的文件列表，过滤出以chain开头的文件\"\n",
    "text = \"重命名，把chain_bash.ipynb重命名为chain_bash_auto.ipynb\"\n",
    "\n",
    "bash_chain = LLMBashChain.from_llm(llm, verbose=True)\n",
    "\n",
    "bash_chain.run(text)"
   ]
  }
 ],
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