@gpt-tag/openai

@gpt-tag/openai is the OpenAI specific version of gpt-tag. It's designed to be easily composable within your existing application, and leaves code organization and control up to your code.

Basic Usage

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

import { openai } from "@gpt-tag/openai";

const factual = openai.temperature(0);

const president = factual`Who was president of the United States in 1997`;

const result = await president.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";

const factual = openai.temperature(0);
const opinion = openai.temperature(1);

const president = factual`Who was president of the United States in 1997? Respond with only their name`;
const height = factual`What is ${president}'s height? Respond with only the height. Format: D'D"`;
const iceCream = 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] = await Promise.all([
  height.get(),
  iceCream.get(),
]);
// [ 6'2" , mango ]

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

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());