langchain/docs/modules/prompts/output_parsers/examples/comma_separated.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9936fa27",
   "metadata": {},
   "source": [
    "# CommaSeparatedListOutputParser\n",
    "\n",
    "Here's another parser strictly less powerful than Pydantic/JSON parsing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "872246d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.output_parsers import CommaSeparatedListOutputParser\n",
    "from langchain.prompts import PromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate\n",
    "from langchain.llms import OpenAI\n",
    "from langchain.chat_models import ChatOpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c3f9aee6",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_parser = CommaSeparatedListOutputParser()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e77871b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "format_instructions = output_parser.get_format_instructions()\n",
    "prompt = PromptTemplate(\n",
    "    template=\"List five {subject}.\\n{format_instructions}\",\n",
    "    input_variables=[\"subject\"],\n",
    "    partial_variables={\"format_instructions\": format_instructions}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a71cb5d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = OpenAI(temperature=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "783d7d98",
   "metadata": {},
   "outputs": [],
   "source": [
    "_input = prompt.format(subject=\"ice cream flavors\")\n",
    "output = model(_input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fcb81344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Vanilla',\n",
       " 'Chocolate',\n",
       " 'Strawberry',\n",
       " 'Mint Chocolate Chip',\n",
       " 'Cookies and Cream']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_parser.parse(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca5a23c5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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