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Repository Details

Sample Amazon Lex chat bot web interface

Sample Amazon Lex Web Interface

Overview

This is a sample Amazon Lex web interface. It provides a chatbot UI component that can be integrated in your website. The interface allows a user to interact with a Lex bot directly from a browser using text or voice.

It can be used as a full page chatbot UI:

Or embedded into an existing site as a chatbot widget:

Features

  • Mobile ready responsive UI with full page or embeddable widget modes
  • Support for voice and text with the ability to seamless switch from one mode to the other
  • Voice support provides automatic silence detection, transcriptions and ability to interrupt responses and replay recordings
  • Display of Lex response cards
  • Ability to programmatically configure and interact with the chatbot UI using JavaScript
  • Connect interactive messaging support

Getting Started

The easiest way to test drive the chatbot UI is to deploy it using the AWS CloudFormation templates provided by this project. Once you have launched the CloudFormation stack, you will get a fully working demo site hosted in your account.

These are the currently supported regions. Click a button to launch it in the desired region.

Region Launch CloudFormation Template
Northern Virginia us-east-1
Oregon us-west-2
Ireland eu-west-1
Sydney ap-southeast-2
Singapore ap-southeast-1a
Seoul ap-northeast-2
London eu-west-2
Tokyo ap-northeast-1
Frankfurt eu-central-1
Canada (Central) ca-central-1

By default, the CloudFormation template creates a sample Lex bot and a Amazon Cognito Identity Pool to get you started. It copies the chatbot UI web application to an Amazon S3 bucket including a dynamically created configuration file. The CloudFormation stack outputs links to the demo and related configuration once deployed. See the CloudFormation Deployment section for details.

You can modify the configuration of the deployed demo site to customize the chatbot UI. It can also be further configured to be embedded it on your web site. See the sections below for code samples and a description of the configuration and deployment options.

New regions supporting Lex only support Lex Version 2. A default install of Lex Web Ui with no target Bot specified attempts to install a sample Lex Version 1 Bot and will fail in these new regions. In regions adding Lex support, a Lex Version 2 Bot should be deployed prior to deploying Lex Web UI.

Integrating into your Site and Deploying

In addition to the CloudFormation deployment mentioned above, there are other methods to integrate and deploy this project. Here is a summary of the various methods:

# Method Description Use Case
1 CloudFormation Deployment using the CloudFormation templates provided by this project Fully automated deployment of a hosted web application to an S3 bucket with an optional CI/CD pipeline. By default, it also creates a Cognito Identity Pool and a sample Lex bot Use when you want to have a infrastructure as code approach that automatically builds and configures the chatbot UI resources
2 Use the pre-built libraries from the dist directory of this repo We provide a pre-built version of the chatbot UI component and a loader library that you can use on your web site as a stand alone page or as an embeddable iframe Use when you have an existing site and want to add the chatbot UI to it by simply copying or referencing the library files
3 Use npm to install and use the chatbot UI as a Vue component Enables developers to consume this project as an npm package that provides a Vue component. See the Npm Install and Vue Component Use section for details Use when developing front-end based web applications built using JavaScript and bundled with tools such as webpack

See the Usage and Deployment sections below for details.

Usage

This project provides a set of JavaScript libraries used to dynamically insert the chatbot UI in a web page. The chatbot UI is loaded and customized by including these libraries in your code and calling their functions with configuration parameters.

The chatbot UI can be displayed either as a full page or embedded in an iframe. In this section, you will find a brief overview of the libraries and configuration parameters. It is useful to get familiar with the concepts described in the Libraries and Configuration sections before jumping to the code examples.

Libraries

The list below describes the libraries produced by this project. Pre-built versions of the libraries are found under the dist directory of this repository.

  1. Chatbot UI component. A UI widget packaged as a JavaScript reusable component that can be plugged in a web application. The library is provided by the lex-web-ui.js file under the dist directory. It is bundled from the source under the lex-web-ui directory. This library is geared to be used as an import in a webpack based web application but can also be instantiated directly in a web page provided that you manually load the dependencies and explicitly pass the configuration. See the component's README for details
  2. Loader. A script that adds the chatbot UI component library described in the item above to a web page. It facilitates the configuration and dependency loading process. The library is provided by the lex-web-ui-loader.js file under the dist directory. It is bundled from the sources under the src/lex-web-ui-loader directory. This library is used by adding a few script tags to an HTML page. See the loader README for details

Configuration

The chatbot UI component requires a configuration object pointing to an existing Lex bot and to an Amazon Cognito Identity Pool to create credentials used to authenticate the Lex API calls from the browser. The configuration object is also used to customize its behavior and UI elements of the chatbot UI component.

The CloudFormation deployment method, from this project, help with building a base configuration file. When deploying with it, the base configuration is automatically pointed to the the resources created in the deployment (i.e. Lex and Cognito).

You can override the configuration at run time by passing parameters to the library functions or using various dynamic configuration methods provided by the loader library (e.g. JSON file, events). For details, see the ChatBot UI Configuration Loading section of the loader library documentation and the Configuration and Customization section of the chatbot UI component documentation.

Connect Interactive Messaging

Lex Web UI supports both ListPicker and TimePicker templateTypes and can be sent using the same JSON structure as utilized by Connect.

ListPicker display in Web UI:

TimePicker in Web UI:

Additionally, Lex Web UI supports a DateTimePicker templateType which will give the end user an open-ended selector for a date/time variable to send back to Lex. DateTimePicker format expected:

{
   "templateType":"TimePicker",                                 (mandatory)
   "version":"1.0",                                             (mandatory)
   "data":{                                                     (mandatory)
      "content":{                                               (mandatory)
         "title":"Schedule appointment",                       (mandatory)
      }
   }
} 

DateTimePicker in Web UI:

Examples

The examples below are organized around the following use cases:

  1. Stand-Alone Page
  2. Iframe
  3. Npm Install and Vue Component Use

Stand-Alone Page

To render the chatbot UI as a stand-alone full page, you can use two alternatives: 1) directly use the chatbot UI component library or 2) use the loader library. These libraries (see Libraries) provide pre-built JavaScript and CSS files that are ready to be included directly into an HTML file to display a full page chatbot UI.

When you use the chatbot UI component directly, you have to manually load the component's dependencies and provide its configuration as a parameter. The loader library alternative provides more configuration options and automates the process of loading dependencies. It encapsulates the chatbot UI component in an automated load process.

Stand-Alone Page Using the Loader Library

The loader library provides the easiest way to display the chatbot UI. The entry point to this library is the lex-web-ui-loader.js script. This script facilitates the process of loading run-time dependencies and configuration.

If you deploy using the CloudFormation method, you will get an S3 bucket with the loader library script and related files in a way that is ready to be used. Alternatively, you can copy the files from the dist directory of this repository to your web server and include the loader.

In its most simple setup, you can use the loader library like this:

<!-- include the loader library script -->
<script src="./lex-web-ui-loader.js"></script>
<script>
  /*
    The loader library creates a global object named ChatBotUiLoader
    It includes the FullPageLoader constructor
    An instance of FullPageLoader has the load function which kicks off
    the load process
  */

  // The following statement instantiate FullPageLoader and
  // calls the load function.
  // It is assumed that the configuration is present in the
  // default JSON file: ./lex-web-ui-loader-config.json
  new ChatBotUiLoader.FullPageLoader().load();
</script>

Stand-Alone API through the Loader Library

Similar to the iFrame loading technique described later, the FullPageComponentLoader now provides an API allowing a subset of events to be sent to the Lex Web UI Component. These events are ping and postText. See the full page for description of this API.

Stand-Alone details

For more details and other code examples about using the loader script in a full page setup, see the full page section of the loader documentation. You can also see the source of the index.html page used in the demo site.

Stand-Alone Page Directly Using the ChatBot UI Component

Directly loading the chatbot UI component works at a lower level than using the loader library as described above. This approach can be used if you want to manually control the rendering, configuration and dependency loading process.

The entry point to the chatbot UI component is the lex-web-ui.js JavaScript file. The UI CSS styles are contained in the lex-web-ui.css file. The component depends on the Vue, Vuex, Vuetify and AWS SDK libraries. You should either host these dependencies on your site or load them from a third-party CDN.

The HTML code below is an illustration of directly loading the chatbot UI library and its dependencies.

NOTE: The versions of the links below may need to be pointed to the latest supported versions.

<html>
  <head>
    <!-- Font Dependencies -->
    <link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Material+Icons" rel="stylesheet" type="text/css">

    <!-- Vuetify CSS Dependencies -->
    <link href="https://unpkg.com/[email protected]/dist/vuetify.min.css" rel="stylesheet" type="text/css">

    <!-- LexWebUi CSS from dist directory -->
    <link href="./lex-web-ui.css" rel="stylesheet" type="text/css">
    <!-- page specific LexWebUi styling -->
    <style type="text/css">
      #lex-web-ui-app { display: flex; height: 100%; width: 100%; }
      body, html { overflow-y: auto; overflow-x: hidden; }
    </style>
  </head>
  <body>
    <!-- application will be dynamically mounted here -->
    <div id="lex-web-ui"></div>

    <!--
      Vue, Vuex, Vuetifiy and AWS SDK dependencies must be loaded before lex-web-ui.js.
      Loading from third party CDN for quick testing
    -->
    <script src="https://unpkg.com/[email protected]"></script>
    <script src="https://unpkg.com/[email protected]"></script>
    <script src="https://unpkg.com/[email protected]"></script>
    <script src="https://sdk.amazonaws.com/js/aws-sdk-2.149.0.min.js"></script>

    <!-- LexWebUi Library from dist directory -->
    <script src="./lex-web-ui.js"></script>

    <!-- instantiate the web ui with a basic config -->
    <script>
      // LexWebUi supports numerous configuration options. Here
      // is an example using just a couple of the required options.
      var config = {
        cognito: {
          // Your Cognito Pool Id - this is required to provide AWS credentials
          poolId: '<your cognito pool id>'
        },
        lex: {
          // Lex Bot Name in your account
          botName: '<your lex bot name>'
        }
      };
      // load the LexWebUi component
      var lexWebUi = new LexWebUi.Loader(config);
      // instantiate Vue
      new Vue({
        el: '#lex-web-ui',
        store: lexWebUi.store,
        template: '<div id="lex-web-ui-app"><lex-web-ui/></div>',
      });
    </script>
  </body>
</html>

Iframe

You can embed the chatbot UI into an existing page using an iframe. This approach provides a self-contained widget that can interact with the parent page hosting the iframe. The lex-web-ui-loader.js loader library provides the functionality to add it as an iframe in a page.

This loader script dynamically creates the iframe tag and supports passing asynchronous configuration using events and JSON files. It also provides an API between the iframe and the parent page which can be used to pass Lex state and other events. These features are detailed in the Iframe Embedding section of the library.

The HTML code below is a basic example of a parent page that adds the chatbot UI as an iframe. In this scenario, the libraries and related files from the dist directory of this repo are hosted in the same directory as the parent page.

Please note that the loaderOptions variable has an iframeSrcPath field which defines the path to the full page chatbot UI. This variable can be pointed to a page like the one described in the stand-alone page section.

<html>
  <head>
    <title>My Parent Page</title>
  </head>
  <body>
    <h1>Welcome to my parent page</h1>
    <!-- loader script -->
    <script src="./lex-web-ui-loader.js"></script>
    <script>
      /*
        The loader library creates a global object named ChatBotUiLoader
        It includes the IframeLoader constructor
        An instance of IframeLoader has the load function which kicks off
        the load process
      */

      // options for the loader constructor
      var loaderOptions = {
        // you can put the chatbot UI config in a JSON file
        configUrl: './chatbot-ui-loader-config.json',

        // the full page chatbot UI that will be iframed
        iframeSrcPath: './chatbot-index.html#/?lexWebUiEmbed=true'
      };

      // The following statement instantiates the IframeLoader
      var iframeLoader = new ChatBotUiLoader.IframeLoader(loaderOptions);

      // chatbot UI config
      // The loader can also obtain these values from other sources such
      // as a JSON file or events. The configUrl variable in the
      // loaderOptions above can be used to put these config values in a file
      // instead of explicitly passing it as an argument.
      var chatbotUiConfig = {
        ui: {
          // origin of the parent site where you are including the chatbot UI
          // set to window.location.origin since hosting on same site
          parentOrigin: window.location.origin,
        },
        iframe: {
          // origin hosting the HTML file that will be embedded in the iframe
          // set to window.location.origin since hosting on same site
          iframeOrigin: window.location.origin,
        },
        cognito: {
          // Your Cognito Pool Id - this is required to provide AWS credentials
          poolId: '<your cognito pool id>'
        },
        connect: {
          contactFlowId : '<your contact flow id>',
          instanceId : '<your instance id>',
          apiGatewayEndpoint : '<your api gateway endpoint>',
        },
        lex: {
          // Lex Bot Name in your account
          botName: '<your lex bot name>'
        }
      };

      // Call the load function which returns a promise that is resolved
      // once the component is loaded or is rejected if there is an error
      iframeLoader.load(chatbotUiConfig)
        .then(function () {
          console.log('iframe loaded');
        })
        .catch(function (err) {
          console.error(err);
        });
    </script>
  </body>
</html>

For more examples showing how to include the chatbot UI as an iframe, see the source of the parent.html page and the Iframe Embedding documentation of the loader library.

Npm Install and Vue Component Use

You can use the npm package manager to install this project. The npm installation provides a library that you can import as a module into your JavaScript code. The component is built as a reusable Vue plugin. This approach is geared to be used in a webpack based project.

Package installation using npm:

# install npm package from github repo
npm install --save awslabs/aws-lex-web-ui
# you may need to install co-dependencies:
npm install --save vue vuex vuetify material-design-icons roboto-fontface

This is a quick example showing how to import the library in your project:

// assumes that a bundler like webpack will handle import/require
// using es6 module
import LexWebUi from 'aws-lex-web-ui';
// or using require
var LexWebUi = require('aws-lex-web-ui');
// import the debug non-minimized version
import LexWebUi from 'aws-lex-web-ui/dist/lex-web-ui';

The source of the chatbot UI component resides under the lex-web-ui directory. For further details about the chatbot UI component see its README file.

Sample Site

This repository provides a sample site that you can use as a base for development. The site is a couple of HTML pages can be found in the src/website directory. The pages includes the index.html file which loads the chatbot UI in a stand-alone page and the parent.html which page loads the chatbot UI in an iframe.

These pages are the same ones that are deployed by the CloudFormation deployment method in this project. It uses the lex-web-ui-loader.js loader library to display and configure the chatbot UI. You can run a development version of this sample site on your machine.

Running Locally

This project provides a simple HTTP server to serve the sample site. You can run the server using Node.js on your local machine or a test server.

The chatbot UI requires proper configuration values in the files located under the src/config directory. Modify the values in the lex-web-ui-loader-config.json file under the src/config directory. If you deployed the demo site using the CloudFormation templates provided by this project, you can copy the automatically generated config files from the S3 buckets to your development host.

As a minimum,you would need to pass an existing Cognito Pool Id and Lex Bot name. For example, set the appropriate values in the src/config/lex-web-ui-loader-config.json file:

  ...
  cognito: {
    "poolId": "us-east-1:deadbeef-fade-babe-cafe-0123456789ab"
  },
  lex: {
    "botName": "myHelpBot"
  }
  ...

Before you run the local development server, you need to install the development dependencies with the command:

npm install

To start the HTTP server web on port 8000, issue the command:

# serves http://localhost:8000/index.html
# and http://localhost:8000/parent.html
npm start

If you want to hack the libraries under the src/lex-web-ui-loader directory, the project provides a hot reloadable webpack dev server setup with the following command:

# runs on port 8000
npm run dev

For a more advanced local host development and test environment, see the Dependencies and Build Setup documentation of the chatbot UI component.

Deploying

This project provides AWS CloudFormation templates that can be used to launch a fully configured working demo site and related resources (e.g. Lex bot and Cognito Identity Pool).

The CloudFormation deployment is the preferred method as it allows to automatically build, configure and deploy the application (including an optional CI/CD pipeline) and it provides a higher degree of flexibility when integrating with an existing environment.

CloudFormation Deployment

The CloudFormation stack creates a web app in an S3 bucket which you can link from your site. The S3 bucket also hosts the configuration, JavaScript and CSS files which can be loaded by your existing web pages. The CloudFormation deployment is documented in the README file under the templates directory.

Building and Deploying your own LexWebUi

If you want to modify or change LexWebUi functionality follow this release process once you are satisfied and have tested your code modifications. You'll need to create an S3 bucket to hold the bootstrap artifacts. Replace "yourbootstrapbucketname" with the name of your bucket to complete the upload.

npm install
cd lex-web-ui
npm install
cd ../build
./release.sh
export BUCKET="yourbootstrapbucketname"
./upload-bootstrap.sh

Note that "yourbootstrapbucket" (S3 bucket) must allow objects with public-read acl to be added. This approach is described in the image below.

Once you've uploaded your distribution to your own bootstrap bucket, you can launch an installation of LexWebUi in the AWS region where this bucket is located by using the master.yaml from your bootstrap bucket. You can also update an existing LexWebUi installation by performing a stack update replacing the current template with the template you just uploaded to your bootstrap bucket. Note that for either a fresh installation or an update, you need to change the BootstrapBucket parameter to be the name of your bootstrap bucket and the BootstrapPrefix parameter to be just "artifacts".

BuildImage

New Features

Changes in version 0.19.0

Two changes in version 0.19.0 are the ability to forward chat history as a transcript to an agent when Connect Live Chat is initiated. Details on use of the transcript can be found in Connect Live Chat Agent Readme. This version also updates the OPTIONS method in the API to configure CORS to only allow requests from the WebAppParentOrigin.

Changes in version 0.18.2

Add feature for connect live chat. Allow client to optionally interact with an agent via Connect. See Connect Live Chat Agent Readme for additional details.

Notable changes in version 0.18.1

The Lex Web Ui now supports configuration of multiple Lex V2 Bot Locale IDs using a comma separated list in the parameter LexV2BotLocaleId. The default Locale ID is en_US. Other supported values are de_DE, en_AU, en_GB, es_419, es_ES, es_US, fr_CA, fr_FR, it_IT, and ja_JP. See "https://docs.aws.amazon.com/lexv2/latest/dg/lex2.0.pdf" for the current list of supported Locale IDs.

When multiple Locale IDs are specified in LexV2BotLocaleId, the Lex Web UI toolbar menu will allow the user to select the locale to use. The user selected locale ID is preserved across page refreshes. The locale selection menu items will be disabled if the user is the middle of completing an intent as the locale ID can't be changed at this time. The selected locale ID will be displayed in the toolbar.

Lex Web Ui is now available in the Canada (Central) region - ca-central-1

For a complete list of fixes/changes in this version see CHANGELOG.md.

Fixes/changes in version 0.18.0

  • Move from webpack V3 to webpack V4 in the lex-web-ui component.
  • Move to npm version 7.10.0.
  • Update component package versions.
  • Resolve dependabot alerts.
  • Fix to resolve update problem where Cognito Supported Identity Providers is reset to just Cognito. An update will now preserve the existing Supported Identity Providers.
  • Set AWS sdk to version 2.875.0.
  • Improve Lex V2 support to handle responseCard defined as a session attribute in sessionAttributes.appContext.responseCard.
  • Removed support for AWS Mobile Hub based distribution.

Fixes/changes in version 0.17.9

  • New support for Lex Version 2 Bots - added template parameters for V2 Bot Id, Bot Alias Id, and Locale Id. When a V1 Bot name is provided, the template will configure resources to use the V1 bot. When the V1 Bot name is left empty and the V2 Bot parameters are specified, the template will configure resources to use the V2 Bot. V1 Bot parameters take precedence over V2 Bot parameters if both are supplied.
  • The Lex Web Ui can now be configured to send an initial utterance to the bot to get an intent started. A new template parameter named WebAppConfBotInitialUtterance is available. If left empty, no initial utterance is sent to the Bot which is the default behavior.
  • Changed format of the date message displayed on a message to use "n min ago" to assist with accessibility when displaying this value.
  • Changed behavior of ShouldLoadIframeMinimized setting. In prior releases, the last known state of the iframe took priority over this setting. In this release, when ShouldLoadIframeMinimized is set to true and the parent page is loaded or refreshed, the Bot iframe will always appear minimized. If this parameter is set to false, the last known state of the Bot is used to either show the iframe or minimize the iframe.
  • Changed loginutils.js to prevent the parent page or the full page from looping if login fails through cognito. With this change, up to 5 attempts will be performed before failing with an alert message presented to the user.
  • Support mixed case web ParentOrigin URLs and WebAppPath in Cognito user pool to prevent login failures due to case mismatch.
  • Support multiple values for WebAppPath. This allows the LexWebUI with login enabled to be deployed on multiple pages on the same site (origin).
  • Update the Cognito Callback and Signout URLs in the Cognito UserPool when ParentPageOrigin and WebAppPath parameters are updated in CloudFormation.

Fixes in version 0.17.8

  • Fix for pipeline based deployments - issue 264 - template error
  • Fix to full page web client (index.html) using forceLogin to require a redirect to login page
  • Fix to move to python 3.8 Lambda Runtime for yaml CloudFormation template embedded functions which remove use of boto3 vendored library
  • Add ability for Lex Web UI to automatically retry a request if the Lex bot times out after 30 seconds using a configurable number of attempts. By default the timeout retry feature is disabled. When enabled, the default retry count is 1.

Fixes in version 0.17.7

  • Build script fix
  • Move min button icon to the left of text

Fixes in version 0.17.6

  • Additional fixes to support upgrades. Upgrades from 0.17.1 and above are supported. Older versions will need to perform a fresh install to migrate to this version.

Fixes in version 0.17.5

  • Fix to allow use of CF template upgrade to disable WebAppConfHelp, WebAppConfPositiveFeedback, and WebAppConfNegativeFeedback
  • Fix to improve resizing of lex-web-ui button at bottom of page when text is used in addition to icon

Features in version 0.17.4

  • Improved upgrade support.
    • The CloudFormation upgrade stack operation from the AWS Console should now be used to change configuration using the available parameters. After the upgrade is complete, the lex-web-ui-loader-config.json file deployed to the web app S3 bucket will be updated with the values specified in the template. Prior versions of the config file are archived using a date timestamp in the S3 bucket should you need to refer to prior configuration values.
    • Users can now upgrade to new versions of Lex-Web-Ui using the AWS CloudFormation console by replacing the template and specifying the S3 template location from the original regional S3 bucket. As new releases of Lex-Web-Ui are published to the distribution repositories, you can now upgrade to this version using the CloudFormation Upgrade/replace template process.
    • After an upgrade, the CloudFront distribution cache will need to be invalidated for the changes to be seen immediately.
  • Chat history can now be preserved and redisplayed when the user comes back to the original parent page hosting the Lex-Web-Ui. This features is controlled using the SaveHistory template parameter. When this feature is enabled, a new menu is visible in the user interface that allows the user to clear chat history. The following are the methods you can enable this feature. Note that you can toggle this feature on and off using the upgrade process.
    • During a new deployment, specify true for the Save History parameter
    • Using the new upgrade feature, specify true for Save History parameter in the CloudFormation console.
  • Lambda function upgrade to Python 3.7.

Fixes in version 0.17.3

  • Added loader config option (forceLogin) to templates which configures UI to require the user to authenticate through Cognito prior to using the bot.
  • Added loader config option (minButtonContent) which allows text to be added to the button which appears on the parent page when the iframe is minimized.
  • Added XRay support to Lambda functions.
  • Added VPC actions to Lambda IAM Roles to support future deployment of Lambdas in VPC.
  • Encrypted S3 buckets using AES-256 default KMS key
  • Prebuilt deployments now available for Singapore, Tokyo, London, and Frankfurt regions

Fixes in version 0.17.2

  • Added option to hide message bubble on button click
  • Resolved current github dependabot security issues
  • Use default encryption for all S3 buckets using AES-256 encryption
  • Added instructions in readme for adding additional vue components

Fixes in version 0.17.1

  • Create uniquely named Cognito UserPool on stack creation
  • Removed display of Back button in title bar and instead provide a replay button using the text from prior message directly in the message bubble. Back button can be re-enabled though configuration json if desired.
  • Enhanced css attributes of the minimized chatbot button to help allow clicking on items in the parent window as well as selecting text next the button.

New Features in version 0.17.0

  • Improved screen reader / accessibility features
  • Added CloudFormation stack outputs for CloudFront and S3 bucket
  • Use response card defined in session attribute "appContext" over that defined by Lex based response Card
  • lex web ui now supports greater than 5 buttons when response card is defined in session attributes "appcontext"
  • Updated dependent packages in package-lock.json identified by Dependabot security alerts
  • Resolved additional CloudFront CORS issues
  • See CHANGELOG for additional details

New Features in version 0.16.0

  • Lex-web-ui now ships with cloudfront as the default distribution method
    • better load times
    • non public access to S3 bucket
    • better future integration to cloudfront features such as WAF and Lambda@Edge
  • Updated package.json dependencies

New Features in version 0.15.0

  • Moved to Webpack 4
  • Changed default parameter ShowResponseCardTitle to be false - was default of true
  • Added back default parameter BotAlias of '$LATEST'. The '$LATEST' alias should only be used for manual testing. Amazon Lex limits the number of runtime requests that you can make to the $LATEST version of the bot.

Toolbar Buttons

  • Help Button

Sends a help message to the bot - Back Button
Resends the previous message

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A tutorial for developers that want to learn about how to build modern applications on top of AWS. You will build a sample website that leverages infrastructure as code, containers, serverless code functions, CI/CD, and more.
1,459
star
10

amazon-bedrock-workshop

This is a workshop designed for Amazon Bedrock a foundational model service.
Jupyter Notebook
1,419
star
11

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class
Jupyter Notebook
1,409
star
12

aws-glue-samples

AWS Glue code samples
Python
1,277
star
13

aws-deepracer-workshops

DeepRacer workshop content
Jupyter Notebook
1,086
star
14

aws-genai-llm-chatbot

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
TypeScript
1,061
star
15

aws-refarch-wordpress

This reference architecture provides best practices and a set of YAML CloudFormation templates for deploying WordPress on AWS.
PHP
1,001
star
16

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class
Jupyter Notebook
955
star
17

aws-serverless-ecommerce-platform

Serverless Ecommerce Platform is a sample implementation of a serverless backend for an e-commerce website. This sample is not meant to be used as an e-commerce platform as-is, but as an inspiration on how to build event-driven serverless microservices on AWS.
Python
947
star
18

aws-big-data-blog

Java
895
star
19

machine-learning-samples

Sample applications built using AWS' Amazon Machine Learning.
Python
867
star
20

eks-workshop

AWS Workshop for Learning EKS
CSS
777
star
21

startup-kit-templates

CloudFormation templates to accelerate getting started on AWS.
Python
760
star
22

aws-incident-response-playbooks

756
star
23

aws-security-reference-architecture-examples

Example solutions demonstrating how to implement patterns within the AWS Security Reference Architecture guide using CloudFormation and Customizations for AWS Control Tower.
Python
731
star
24

retail-demo-store

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases
Jupyter Notebook
708
star
25

lambda-refarch-imagerecognition

The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
JavaScript
662
star
26

aws-secure-environment-accelerator

The AWS Secure Environment Accelerator is a tool designed to help deploy and operate secure multi-account, multi-region AWS environments on an ongoing basis. The power of the solution is the configuration file which enables the completely automated deployment of customizable architectures within AWS without changing a single line of code.
HTML
653
star
27

simple-websockets-chat-app

This SAM application provides the Lambda functions, DynamoDB table, and roles to allow you to build a simple chat application based on API Gateway's new WebSocket-based API feature.
JavaScript
632
star
28

aws-codedeploy-samples

Samples and template scenarios for AWS CodeDeploy
Shell
627
star
29

emr-bootstrap-actions

This repository hold the Amazon Elastic MapReduce sample bootstrap actions
Shell
612
star
30

aws-bookstore-demo-app

AWS Bookstore Demo App is a full-stack sample web application that creates a storefront (and backend) for customers to shop for fictitious books. The entire application can be created with a single template. Built on AWS Full-Stack Template.
TypeScript
612
star
31

generative-ai-use-cases-jp

すぐに業務活用できるビジネスユースケース集付きの安全な生成AIアプリ実装
TypeScript
611
star
32

hardeneks

Runs checks to see if an EKS cluster follows EKS Best Practices.
Python
603
star
33

lambda-refarch-mobilebackend

Serverless Reference Architecture for creating a Mobile Backend
Objective-C
584
star
34

amazon-personalize-samples

Notebooks and examples on how to onboard and use various features of Amazon Personalize
Jupyter Notebook
572
star
35

aws-serverless-workshop-innovator-island

Welcome to the Innovator Island serverless workshop! This repo contains all the instructions and code you need to complete the workshop.
JavaScript
564
star
36

kubernetes-for-java-developers

A Day in Java Developer’s Life, with a taste of Kubernetes
Java
562
star
37

aws-iot-chat-example

💬 Chat application using AWS IoT platform via MQTT over the WebSocket protocol
JavaScript
534
star
38

aws-dynamodb-examples

DynamoDB Examples
JavaScript
532
star
39

aws-amplify-graphql

Sample using AWS Amplify and AWS AppSync together for user login and authorization when making GraphQL queries and mutations. Also includes complex objects for uploading and downloading data to and from S3 with a React app.
JavaScript
521
star
40

aws-mobile-appsync-chat-starter-angular

GraphQL starter progressive web application (PWA) with Realtime and Offline functionality using AWS AppSync
TypeScript
520
star
41

aws-serverless-security-workshop

In this workshop, you will learn techniques to secure a serverless application built with AWS Lambda, Amazon API Gateway and RDS Aurora. We will cover AWS services and features you can leverage to improve the security of a serverless applications in 5 domains: identity & access management, code, data, infrastructure, logging & monitoring.
JavaScript
505
star
42

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.
Jupyter Notebook
471
star
43

lambda-refarch-fileprocessing

Serverless Reference Architecture for Real-time File Processing
Python
450
star
44

ecs-blue-green-deployment

Reference architecture for doing blue green deployments on ECS.
Python
442
star
45

cloudfront-authorization-at-edge

Protect downloads of your content hosted on CloudFront with Cognito authentication using cookies and Lambda@Edge
TypeScript
439
star
46

aws-service-catalog-reference-architectures

Sample CloudFormation templates and architecture for AWS Service Catalog
JavaScript
430
star
47

amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Jupyter Notebook
422
star
48

siem-on-amazon-opensearch-service

A solution for collecting, correlating and visualizing multiple types of logs to help investigate security incidents.
Python
409
star
49

aws-microservices-deploy-options

This repo contains a simple application that consists of three microservices. Each application is deployed using different Compute options on AWS.
Jsonnet
407
star
50

aws-cost-explorer-report

Python SAM Lambda module for generating an Excel cost report with graphs, including month on month cost changes. Uses the AWS Cost Explorer API for data.
Python
406
star
51

aws-security-workshops

A collection of the latest AWS Security workshops
Jupyter Notebook
401
star
52

aws-sam-java-rest

A sample REST application built on SAM and DynamoDB that demonstrates testing with DynamoDB Local.
Java
400
star
53

amazon-elasticsearch-lambda-samples

Data ingestion for Amazon Elasticsearch Service from S3 and Amazon Kinesis, using AWS Lambda: Sample code
JavaScript
393
star
54

amazon-textract-textractor

Analyze documents with Amazon Textract and generate output in multiple formats.
Jupyter Notebook
390
star
55

amazon-cloudfront-functions

JavaScript
388
star
56

aws-saas-factory-bootcamp

SaaS on AWS Bootcamp - Building SaaS Solutions on AWS
JavaScript
376
star
57

aws-lambda-extensions

A collection of sample extensions to help you get started with AWS Lambda Extensions
Go
376
star
58

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Shell
366
star
59

non-profit-blockchain

Builds a blockchain network and application to track donations to non-profit organizations, using Amazon Managed Blockchain
SCSS
360
star
60

amazon-textract-code-samples

Amazon Textract Code Samples
Jupyter Notebook
355
star
61

amazon-neptune-samples

Samples and documentation for using the Amazon Neptune graph database service
JavaScript
355
star
62

lambda-refarch-streamprocessing

Serverless Reference Architecture for Real-time Stream Processing
JavaScript
349
star
63

amazon-ecs-java-microservices

This is a reference architecture for java microservice on Amazon ECS
Java
345
star
64

sessions-with-aws-sam

This repo contains all the SAM templates created in the Twitch series #SessionsWithSAM. The show is every Thursday on Twitch at 10 AM PDT.
JavaScript
343
star
65

amazon-rekognition-video-analyzer

A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
JavaScript
343
star
66

aws-eks-accelerator-for-terraform

The AWS EKS Accelerator for Terraform is a framework designed to help deploy and operate secure multi-account, multi-region AWS environments. The power of the solution is the configuration file which enables the users to provide a unique terraform state for each cluster and manage multiple clusters from one repository. This code base allows users to deploy EKS add-ons using Helm charts.
HCL
338
star
67

aws-deepcomposer-samples

Jupyter Notebook
336
star
68

amazon-ecs-mythicalmysfits-workshop

A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ [email protected]. At re:Invent 2018, these sessions were run as CON214/CON321/CON322.
HTML
334
star
69

aws-iot-examples

Examples using AWS IoT (Internet of Things). Deprecated. See README for updated guidance.
JavaScript
331
star
70

aws-media-services-simple-vod-workflow

Lab that covers video conversion workflow for Video On Demand using AWS MediaConvert.
Python
328
star
71

php-examples-for-aws-lambda

Demo serverless applications, examples code snippets and resources for PHP
PHP
324
star
72

aws-serverless-cicd-workshop

Learn how to build a CI/CD pipeline for SAM-based applications
CSS
317
star
73

create-react-app-auth-amplify

Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
JavaScript
314
star
74

api-gateway-secure-pet-store

Amazon API Gateway sample using Amazon Cognito credentials through AWS Lambda
Objective-C
309
star
75

aws-etl-orchestrator

A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Python
307
star
76

amazon-textract-serverless-large-scale-document-processing

Process documents at scale using Amazon Textract
Python
302
star
77

lambda-go-samples

An example of using AWS Lambda with Go
Go
302
star
78

amazon-cloudfront-secure-static-site

Create a secure static website with CloudFront for your registered domain.
JavaScript
300
star
79

amazon-ecs-firelens-examples

Sample logging architectures for FireLens on Amazon ECS and AWS Fargate.
300
star
80

aws-nodejs-sample

Sample project to demonstrate usage of the AWS SDK for Node.js
JavaScript
299
star
81

aws-cognito-apigw-angular-auth

A simple/sample AngularV4-based web app that demonstrates different API authentication options using Amazon Cognito and API Gateway with an AWS Lambda and Amazon DynamoDB backend that stores user details in a complete end to end Serverless fashion.
JavaScript
297
star
82

lambda-ecs-worker-pattern

This example code illustrates how to extend AWS Lambda functionality using Amazon SQS and the Amazon EC2 Container Service (ECS).
POV-Ray SDL
291
star
83

aws-lambda-fanout

A sample AWS Lambda function that accepts messages from an Amazon Kinesis Stream and transfers the messages to another data transport.
JavaScript
289
star
84

aws-saas-factory-ref-solution-serverless-saas

Python
286
star
85

aws-mlu-explain

Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
JavaScript
285
star
86

aws-serverless-shopping-cart

Serverless Shopping Cart is a sample implementation of a serverless shopping cart for an e-commerce website.
Python
282
star
87

aws-serverless-samfarm

This repo is full CI/CD Serverless example which was used in the What's New with AWS Lambda presentation at Re:Invent 2016.
JavaScript
280
star
88

eb-node-express-sample

Sample Express application for AWS Elastic Beanstalk
EJS
279
star
89

eb-py-flask-signup

HTML
270
star
90

codepipeline-nested-cfn

CloudFormation templates, CodeBuild build specification & Python scripts to perform unit tests of a nested CloudFormation template.
Python
269
star
91

aws-amplify-auth-starters

Starter projects for developers looking to build web & mobile applications that have Authentication & protected routing
269
star
92

aws-containers-task-definitions

Task Definitions for running common applications Amazon ECS
264
star
93

aws-proton-cloudformation-sample-templates

Sample templates for AWS Proton
262
star
94

aws2tf

aws2tf - automates the importing of existing AWS resources into Terraform and outputs the Terraform HCL code.
Shell
261
star
95

aws-cdk-changelogs-demo

This is a demo application that uses modern serverless architecture to crawl changelogs from open source projects, parse them, and provide an API and website for viewing them.
JavaScript
260
star
96

designing-cloud-native-microservices-on-aws

Introduce a fluent way to design cloud native microservices via EventStorming workshop, this is a hands-on workshop. Contains such topics: DDD, Event storming, Specification by example. Including the AWS product : Serverless Lambda , DynamoDB, Fargate, CloudWatch.
Java
257
star
97

aws-secrets-manager-rotation-lambdas

Contains Lambda functions to be used for automatic rotation of secrets stored in AWS Secrets Manager
Python
256
star
98

lambda-refarch-iotbackend

Serverless Reference Architecture for creating an IoT Backend
Python
251
star
99

aws-health-aware

AHA is an incident management & communication framework to provide real-time alert customers when there are active AWS event(s). For customers with AWS Organizations, customers can get aggregated active account level events of all the accounts in the Organization. Customers not using AWS Organizations still benefit alerting at the account level.
Python
250
star
100

Intelli-Agent

Chatbot Portal with Agent: Streamlined Workflow for Building Agent-Based Applications
Python
250
star