@gpt-tag/openai

@gpt-tag/openai is a library for building applications that rely on LLMs. It's designed to be easily composable within your existing application.

Use one of the specific LLM based packages to get started, such as @gpt-tag/openai

Installation

Install @gpt-tag/openai and make sure you have installed openai as well.

npm install @gpt-tag/openai openai

or

yarn add @gpt-tag/openai openai

Basic Usage

gpt-tag libraries use a fluent interface to help provide maximum composability. Simply import openai from @gpt-tag/openai to start composing.

import{openai}from"@gpt-tag/openai";constfactual=openai.temperature(0);constpresident=factual`Who was president of the United States in 1997`;constresult=awaitpresident.get();// Bill Clinton

Composition Usage

You can embed the result of one tag inside of another tag to create powerful compositions, and no LLM requests will be made until you attempt to call .get() on a tag. At that time, it will resolve the necessary calls sequentially to provide a final answer.

import{openai}from"@gpt-tag/openai";constfactual=openai.temperature(0);constopinion=openai.temperature(1);constpresident=factual`Who was president of the United States in 1997? Respond with only their name`;constheight=factual`What is ${president}'s height? Respond with only the height. Format: D'D"`;consticeCream=opinion`Which flavor of ice cream would be preferred by ${president}? Choose only one. Guess if you don't know. Format: <flavor>`;const[heightAnswer,iceCreamAnswer]=awaitPromise.all([height.get(),iceCream.get(),]);// [ 6'2" , mango ]

See examples for more samples of how you can compose tags together.

Variables

Variables make your tags reusable and composable. You can use the variable function to create a variable and then use it in your tags.

import{openai,variable}from"@gpt-tag/openai";constfactual=openai.temperature(0);constpresident=factual`Who was president of the ${variable("country")} in ${variable("year")}? Respond with only their name`.get({variables: {country: "Argentina",year: 2023,},},);// Javier Milei

Methods

Most methods return GPTTag itself for fluently chaining.

Get

Return a promise that will resolve any llm calls used to compose this tag

await openai.get()

Temperature

Use temperature to control randomness

openai.temperature(0.5)

Model

Override the model used

openai.model('gpt-4')

Stream

Use a streaming response

openai.stream(true);

Transform

Transform the results of a call before returning them

openai.transform((result) => result.trim());