langchain/docs/modules/agents/tools/examples/bash.ipynb

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    {
      "cell_type": "markdown",
      "id": "8f210ec3",
      "metadata": {},
      "source": [
        "# Bash\n",
        "It can often be useful to have an LLM generate bash commands, and then run them. A common use case for this is letting the LLM interact with your local file system. We provide an easy util to execute bash commands."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "f7b3767b",
      "metadata": {},
      "outputs": [],
      "source": [
        "from langchain.utilities import BashProcess"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "cf1c92f0",
      "metadata": {},
      "outputs": [],
      "source": [
        "bash = BashProcess()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "2fa952fc",
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "bash.ipynb\n",
            "google_search.ipynb\n",
            "python.ipynb\n",
            "requests.ipynb\n",
            "serpapi.ipynb\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(bash.run(\"ls\"))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "851fee9f",
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
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