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strapi-plugin-prompt-editor

v1.0.3

Published

This editor is capable of integrating with AI, enhancing your writing and editing experience.

Downloads

255

Readme

strapi-plugin-prompt-editor

Stylish editor that works with ChatGPT and Gemini

Demo

demo ss1 ss2

Setup

install

npm i strapi-plugin-prompt-editor

edit config

# config/plugins.js
...
 'prompt-editor': {
    enabled: true,
    config: {
      openai_api_key: process.env.OPENAI_API_KEY,
      gemini_api_key: process.env.GEMINI_API_KEY
    }
  },
...

add Custom Field

upload role

required role permission

To generate images or upload them to a folder other than the root folder, the following permissions are required.

  • Access the Media Library
  • Create (upload)

upload role

Setting the admin panel

You can change the default settings for model and image size. admin_setting

Change the model you can select

Selectable models can be changed from config.

// example
'prompt-editor': {
  enabled: true,
  config: {
    openai_api_key: process.env.OPENAI_API_KEY,
    gemini_api_key: process.env.GEMINI_API_KEY,
    chatGPTTextModels: [
      'gpt-4o',
      'gpt-4o-mini',
      'gpt-4',
      'gpt-3.5-turbo'
    ],
    chatGPTImageModels: [
      {
        name: 'dall-e-2',
        size: [
          '256x256',
          '512x512',
          '1024x1024'
        ]
      },
      {
        name: 'dall-e-3',
        size: [
          '1024x1024',
          '1792x1024',
          '1024x1792'
        ]
      }
    ],
    geminiTextModels: [
      'gemini-1.5-flash',
      'gemini-1.5-pro',
      'gemini-1.0-pro',
    ]
  }
}

Customize API response

The fields of prompt-editor are in JSON format by default when retrieved through the API.

Therefore, we recommend implementing middlewares and converting them to HTML.

npm i @blocknote/server-util

ex) src/api/article/middlewares/content-converter.ts


import {Strapi} from '@strapi/strapi';
import {ServerBlockNoteEditor} from "@blocknote/server-util";

export default (config, {strapi}: { strapi: Strapi }) => {
  return async (ctx, next) => {
    await next()

    const editor = ServerBlockNoteEditor.create();
    const data = structuredClone(ctx.response.body.data)
    const convertToHTML = async (item: any) => {
      if (item.attributes.content === null) {
        item.attributes.content = ''
      } else {
        try {
          const block = JSON.parse(item.attributes.content)
          item.attributes.content = await editor.blocksToHTMLLossy(block)
        } catch (e) {
          console.error(e)
        }
      }
      return item
    }
    ctx.response.body.data = await Promise.all(data.map(item => convertToHTML(item)))
  }
}

Thanks

The editor of this plugin is based on BlockNote.

https://www.blocknotejs.org/