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			117 lines
		
	
	
		
			2.8 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			117 lines
		
	
	
		
			2.8 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
{
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 "cells": [
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  {
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   "cell_type": "markdown",
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   "id": "a37d9694",
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   "metadata": {},
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   "source": [
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    "# Custom Prompt Template\n",
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    "\n",
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    "This notebook goes over how to create a custom prompt template, in case you want to create your own methodology for creating prompts.\n",
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    "\n",
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    "The only two requirements for all prompt templates are:\n",
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    "\n",
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    "1. They have a `input_variables` attribute that exposes what input variables this prompt template expects.\n",
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    "2. They expose a `format` method which takes in keyword arguments corresponding to the expected `input_variables` and returns the formatted prompt.\n",
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    "\n",
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    "Let's imagine that we want to create a prompt template that takes in input variables and formats them into the template AFTER capitalizing them. "
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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": "26f796e5",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "from langchain.prompts import BasePromptTemplate\n",
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    "from pydantic import BaseModel"
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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": 7,
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   "id": "27919e96",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "class CustomPromptTemplate(BasePromptTemplate, BaseModel):\n",
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    "    template: str\n",
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    "        \n",
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    "    def format(self, **kwargs) -> str:\n",
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    "        capitalized_kwargs = {k: v.upper() for k, v in kwargs.items()}\n",
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    "        return self.template.format(**capitalized_kwargs)\n",
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    "        "
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "id": "76d1d84d",
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   "metadata": {},
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   "source": [
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    "We can now see that when we use this, the input variables get formatted."
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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": 8,
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   "id": "eed1ff28",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "prompt = CustomPromptTemplate(input_variables=[\"foo\"], template=\"Capitalized: {foo}\")"
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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": 9,
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   "id": "94892a3c",
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   "metadata": {},
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "'Capitalized: LOWERCASE'"
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      ]
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     },
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     "execution_count": 9,
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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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    "prompt.format(foo=\"lowercase\")"
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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": "d3d9a7c7",
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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": "3.7.6"
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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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