mirror of
https://github.com/hwchase17/langchain.git
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985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
86 lines
1.6 KiB
Plaintext
86 lines
1.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "8f210ec3",
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"metadata": {},
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"source": [
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"# Bash\n",
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"It can often be useful to have an LLM generate bash commands, and then run them. A common use case this is for letting it interact with your local file system. We provide an easy util to execute bash commands."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f7b3767b",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.utilities import BashProcess"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "cf1c92f0",
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"metadata": {},
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"outputs": [],
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"source": [
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"bash = BashProcess()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "2fa952fc",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"bash.ipynb\n",
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"google_search.ipynb\n",
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"python.ipynb\n",
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"requests.ipynb\n",
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"serpapi.ipynb\n",
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"\n"
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]
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}
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],
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"source": [
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"print(bash.run(\"ls\"))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "851fee9f",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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