Package Exports

baby-prompts
baby-prompts/index.js

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Readme

Baby Prompts

Providing super basic prompt techniques and chains for OpenAI's response API.

Installation

Install the library by typing

npm install baby-prompts

Usage

Here are some examples of how to use different prompting techniques:

Zero-shot prompting
Few-shot prompting
Prompt chains

Note
For the following tutorials, I will use the following function to print out the results

function printOutText({ output_text }) {
  console.log(output_text);
}

Zero shot prompting

import { zeroShotPrompt } from 'baby-prompts';
zeroShotPrompt('You are a funny assistant', 'Tell me a joke!').then(
  printOutText
);

Few shots prompting

Function signature: function fewShotPrompt(messages, options = {})

import { fewShotPrompt, user, assistant, developer } from 'baby-prompts';

fewShotPrompt([
  developer('You are not a good calculator, off of 1'), //
  user('What is 2 + 2?'),
  assistant('5'),
  user('What is 3 + 3?'),
  assistant('7'),
  user('What is 4 + 4?'),
]).then(printOutText);

Prompt chaining

import { promptChain, promptLink, tap } from 'baby-prompts';

// Chain of prompts
promptChain(
  promptLink('What is 2 + 2?'),
  // tap, // use tap to see intermediate steps
  promptLink('What is the square root of that?'),
  promptLink('Say the result in Italian.')
)().then(printOutText);

Or here a more complex example.

promptChain(
  promptLink('What is 2 + 2?'), // you can use a string
  tap, // use tap to see intermediate steps
  promptLink([
    // you can also use an array of messages
    developer('Be brief and just give the number.'),
    user('Say the result in Italian.'),
  ])
)('You are an helpful assistant.') // The initial instructions
  .then(printOutText);

Change options

You may pass different models and options in the options parameter. Here is an example:

zeroShotPrompt(
  'You are a helpful assistant that translates English to French.',
  'Translate the following English text to French: "Hello, how are you?"',
  {
    model: 'gpt-5',
    reasoning: { effort: 'medium' },
  }
).then(printOutText);

Requirments

This code requires that you have a .env file with the variable OPENAI_API_KEY set to your own OpenAI API key. You can find an API key here.