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

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{
"cells": [
{
"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": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}