openplugincore v0.6.4

NPM openplugincore

This is the meat of OpenPlugin, it contains all tools you need to interface with ChatGPT plugins as you do on ChatGPT Pro itself.

Watch out

Issues and concerns to look out for

• You exceeded your current quota : If your run into an error suggesting You exceeded your current quota that could be for several reasons, refer to this StackOverflow answer on how to resolve it.

Quickstart

1. Install openplugincore

npm install openplugincore

2. Set up OPENAI_API_KEY environment variable. With dotenv: create a .env file in the root of your project and add your OpenAI API key

OPENAI_API_KEY=your-api-key

3. Start using openplugincore in your project

simplest way to use openplugincore

import { openpluginCompletion } from 'openplugincore';
import dotenv from 'dotenv'; // to get .env variables
dotenv.config(); // to get .env variables

const completion = await openpluginCompletion(
  "show me a gif of a gangster cat",
  "GifApi",
  undefined,
  process.env.OPENAI_API_KEY,
  {
    model: "gpt-3.5-turbo-0613",
    temperature: 0,
  }
);

console.log(completion.choices[0]);

or for more nuanced use

import {OpenPlugin} from 'openplugincore'
import dotenv from 'dotenv' // to get .env variables
dotenv.config() // to get .env variables

const imageOpenplugin = new OpenPlugin("GifApi", undefined, process.env.OPENAI_API_KEY);
await imageOpenplugin.init();

const prompt = "show me a gif of a gangster cat"
const functionRes = await imageOpenplugin.fetchPlugin({
  prompt: prompt,
  model: "gpt-3.5-turbo-0613"
});

const completionRes = await fetch('https://api.openai.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
  },
  body: JSON.stringify({
    model: 'gpt-3.5-turbo-0613',
    messages: [
      {role: 'user', content: prompt},
      functionRes
    ],
    temperature: 0,
  }),
})

const completionResJson = await completionRes.json()

console.log(completion.choices[0]);

and to be respectful to plugin APIs you can use OpenPluginMemo

import { OpenPluginMemo } from 'openplugincore';
import dotenv from 'dotenv';
dotenv.config();

const openpluginMemo =  new OpenPluginMemo()
await openpluginMemo.init()

const firstGifPlugin = await openpluginMemo.initPlugin("GifApi")
// same as OpenPlugin
const firstPrompt = "show me a gif of a gangster cat"

const firstFunctionRes = await firstGifPlugin.fetchPlugin({
  prompt: firstPrompt,
  model: "gpt-3.5-turbo-0613"
});

const firstCompletionRes = await fetch('https://api.openai.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
  },
  body: JSON.stringify({
    model: 'gpt-3.5-turbo-0613',
    messages: [
      {role: 'user', content: firstPrompt},
      firstFunctionRes
    ],
    temperature: 0,
  }),
})
const firstCompletionResJson = await firstCompletionRes.json()

console.log(firstCompletionResJson.choices[0]);
// finish same as OpenPlugin