functionalStoic / flex-plugin-outgoing-sms-form

πŸš€ Plugin installs a small form that send's an SMS. The body is fixed so that a chatbot can handle the responses.

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Custom Outgoing SMS Twilio Flex Plugin

Plugin installs a small form that send's an Outgoing SMS.

The body is fixed so that a chatbot can handle the responses.

Outgoing SMS is sent with a Twilio Studio Flow

Intro image

Plugin related setup

Duplicate the .env.example file. Fill in your Twilio Studio Flow endpoint credentials

  • username/account_sid
  • password
  • outgoing phone number

About Twilio Flex

Twilio Flex Plugins allow you to customize the appearance and behavior of Twilio Flex. If you want to learn more about the capabilities and how to use the API, check out our Flex documentation.

Setup

Make sure you have Node.js as well as npm installed.

Afterwards, install the dependencies by running npm install:

cd

# If you use npm
npm install

Development

In order to develop locally, you can use the Webpack Dev Server by running:

npm start

This will automatically start up the Webpack Dev Server and open the browser for you. Your app will run on http://localhost:8080. If you want to change that you can do this by setting the PORT environment variable:

PORT=3000 npm start

When you make changes to your code, the browser window will be automatically refreshed.

Deploy

Once you are happy with your plugin, you have to bundle it in order to deploy it to Twilio Flex.

Run the following command to start the bundling:

npm run build

Afterwards, you'll find in your project a build/ folder that contains a file with the name of your plugin project. For example, plugin-example.js. Take this file and upload it into the Assets part of your Twilio Runtime.

Note: Common packages like React, ReactDOM, Redux and ReactRedux are not bundled with the build because they are treated as external dependencies so the plugin will depend on Flex to provide them globally.

About

πŸš€ Plugin installs a small form that send's an SMS. The body is fixed so that a chatbot can handle the responses.


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