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103 lines
2.5 KiB
Text
103 lines
2.5 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "984a8fca",
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"metadata": {},
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"source": [
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"# Python REPL\n",
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"\n",
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"Sometimes, for complex calculations, rather than have an LLM generate the answer directly, it can be better to have the LLM generate code to calculate the answer, and then run that code to get the answer. In order to easily do that, we provide a simple Python REPL to execute commands in.\n",
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"\n",
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"This interface will only return things that are printed - therefore, if you want to use it to calculate an answer, make sure to have it print out the answer."
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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": "0196a12d-f716-4622-84e4-86fc27fa797c",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.agents import Tool\n",
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"from langchain.utilities import PythonREPL"
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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": "b4058942-c31f-45c6-8bb7-30402f6cc193",
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"metadata": {},
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"outputs": [],
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"source": [
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"python_repl = PythonREPL()"
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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": "b1bcfa15-ff35-49bf-a986-c40eec3b65fb",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Python REPL can execute arbitrary code. Use with caution.\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'2\\n'"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"python_repl.run(\"print(1+1)\")"
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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": 4,
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"id": "488542d8-5566-4f28-aaf7-b28a3373ab62",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# You can create the tool to pass to an agent\n",
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"repl_tool = Tool(\n",
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" name=\"python_repl\",\n",
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" description=\"A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.\",\n",
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" func=python_repl.run,\n",
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")"
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]
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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": "3.11.2"
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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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