| Default Usage | Self-Hosted Installation | Getting Started on SAP Conversational AI | License |
|---|
The SAP Conversational AI webchat let you deploy a bot straight to a website. It will be embed and available through a chat box on your pages. The webchat is one of the many channels available on SAP Conversational AI, and end-to-end bot building platform. This webchat is built using the React library, along with Redux for state managment.
This webchat is supported by all mobile and desktop browsers in their latest versions. Internet Explorer support starts at version 9.0.
Three different installations on the webchat module are possible.
- The default is the simplest and fatest route, and offers some customization options.
- The self-hosted webchat offers even more customization option, but you'll have to deal with the hosting and maintenance of the module.
- Use it as a React component
To use the webchat, you need an account on SAP Conversational AI and a bot. Then, go to the CONNECT tab and click on Webchat. It will open a window that lets you adjust your webchat settings, including:
- color scheme,
- header customization,
- bot and user pictures,
- webchat logo and call to action,
- conversation duration
Once you're satisfied with the settings, click on the SAVE button. A script tag appears, and you just have to copy paste it in your web page to embed the webchat. The script must be placed in the <body> tag.
If you want to customize your webchat even more, you can opt for a self-hosted installatiton. Just fork this project to get started!
Clone the repository you forked, and install the dependencies.
$> git clone YOUR_REPO_URL
$> cd webchat
$> npm install
$> npm run start
$> npm run prettier
$> npm run build
Once you're done, build it and host it. To use it instead of the default one provided by SAP Conversational AI, you need to set up the Webchat channel in the CONNECT tab of your bot. You'll be using the same script as the default installation, but you have to replace the src field by your own URL.
<script
src="YOUR_WEBCHAT_URL"
...
></script>
You can import the webchat as a React component like the following example:
import CaiWebchat from 'webchat';
export default class ReactWebchat extends Component {
render() {
return (
<CaiWebchat
onRef={ref => {
this.webchat = ref;
}}
channelId={YOUR_CHANNEL_ID}
token={YOUR_TOKEN}
preferences={{
accentColor: '#E05A47',
complementaryColor: '#FFFFFF',
botMessageColor: '#707070',
botMessageBackgroundColor: '#F6F6F6',
backgroundColor: '#FFFFFF',
headerLogo: 'https://cdn.cai.tools.sap/webchat/webchat-logo.svg',
headerTitle: 'My awesome chatbot',
botPicture: 'https://cdn.cai.tools.sap/webchat/bot.png',
userPicture: 'https://cdn.cai.tools.sap/webchat/user.png',
onboardingMessage: 'Come speak to me!',
expanderLogo: 'https://cdn.cai.tools.sap/webchat/webchat-logo.svg',
expanderTitle: 'Click on me!',
conversationTimeToLive: 24,
openingType: 'never',
welcomeMessage: 'Hello world !',
}}
getLastMessage={message => {
console.log(message)
}}
/>
);
}
}| Name | Type | Required | Description |
|---|---|---|---|
| onRef | function | false | Function which returns ref of the webchat |
| channelId | string | true | Channel id (you can get in SAP Conversational AI) |
| token | string | true | Token (you can get in React.ai) |
| preferences | object | true | Object containing some settings |
| getLastMessage | function | false | Function which returns the last message sent by the webchat |
You can access these methods by using the reference of the component (use OnRef)
<CaiWebchat
onRef={ref => this.webchat = ref }
>
...
this.webchat.clearMessages();
| Name | Description |
|---|---|
| clearMessages() | Clear all messages in the webchat |
One thing you might want to do is to send custom data from your website to the bot, like the name of the logged in user, his ID, the page he is currently on (to send product suggestions for example). To do that, you can define a window.webchatMethods.getMemory function, the webchat will call it before sending user messages, and send your arbitrary payload along with the message to the bot.
If you use SAP Conversational AI's bot-builder (you should :)), your payload will be put in the memory of the conversation, meaning that you will be able to access this data in your bot-builder. Let's say you send this as payload : { "userName": "Dominik", "userId": 123456 }, you will then be able to send this as a greeting message : Hello {{ memory.userName }} ! How do you do ?.
window.webchatMethods.getMemory must return a JSON object or a Promise resolving a JSON object :
{ "memory": { ... }, "merge": <boolean> }where{ ... }is your arbitrary payload.mergeis an instruction for the bot-builder. If set to true, the payload will be merged with the existing memory, overriding common keys but keeping the ones absent from the payload. If set to false, the memory will be replaced entirely by your payload.
If your getMemory function takes more than 10 seconds, the message will be sent anyway, without waiting for your function to finish.
<html>
<head>
<script>
window.webchatMethods = {
// called at each user message
getMemory: (conversationId) => {
const memory = { userName: 'Dominik Bousquet', userId: 123456 }
return { memory, merge: true }
}
}
</script>
</head>
<body>
<script src="https://cdn.cai.tools.sap/webchat/webchat.js"
channelId="<channelId>"
token="<token>"
id="cai-webchat"
></script>
</body>
</html>window.webchatMethods = {
getMemory: (conversationId) => {
const getCookie = (name) => {
const value = document.cookie.match('(^|;) ?' + name + '=([^;]*)(;|$)')
return value ? value[2] : null
}
const userName = getCookie('userName')
const memory = { userName, currentUrl: window.location.href }
return { memory, merge: true }
}
}window.webchatData = {}
window.webchatMethods = {
getMemory: (conversationId) => {
if (window.webchatData.savedUserData) {
return { memory: window.webchatData.savedUserData, merge: true }
}
return new Promise((resolve, reject) => {
axios.get('/current_user')
.then((response) => {
const memory = { userName: response.data.name, userId: response.data.id }
window.webchatData.savedUserData = memory
resolve({ memory, merge: true })
})
.catch(reject)
})
}
}window.webchatData = {}
window.webchatMethods = {
getMemory: (conversationId) => {
if (!window.webchatData.oriUrl) {
window.webchatData.oriUrl = window.location.href
}
// merge: false - reset the conversation if the user
// switched to another page since the first message
if (window.webchatData.oriUrl !== window.location.href) {
return { memory: {}, merge: false }
}
return { memory: { userName: 'Dominik' }, merge: true }
}
}We build products to help enterprises and developers have a better understanding of user inputs.
- NLP API: a unique API for text processing, and augmented training.
- Bot Building Tools: all you need to create smart bots powered by SAP Conversational AI's NLP API. Design even the most complex conversation flow, use all rich messaging formats and connect to external APIs and services.
- Bot Connector API: standardizes the messaging format across all channels, letting you connect your bots to any channel in minutes.
Learn more about:
| API Documentation | Discover the platform | First bot tutorial | Advanced NodeJS tutorial | Advanced Python tutorial |
|---|
Copyright (c) [2016] SAP Conversational AI
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