langchain/docs/examples/chains/llm_checker.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# LLMCheckerChain\n",
    "This notebook showcases how to use LLMCheckerChain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chains import LLMCheckerChain\n",
    "from langchain.llms import OpenAI\n",
    "\n",
    "llm = OpenAI(temperature=0.7)\n",
    "\n",
    "text = \"What type of mammal lays the biggest eggs?\"\n",
    "\n",
    "checker_chain = LLMCheckerChain(llm=llm, verbose=True)\n",
    "\n",
    "checker_chain.run(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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