Omnichannel Chat SDK
Headless Chat SDK to build your own chat widget against Dynamics 365 Omnichannel Services.
Please make sure you have a chat widget configured before using this package or you can follow this link
Table of Contents
Live Chat Widget vs. Chat SDK
Omnichannel offers an live chat widget (LCW) by default. You can use the Chat SDK to build your custom chat widget if:
- You want to fully customize the user interface of the chat widget to conform with your branding.
- You want to integrate Omnichannel in your mobile app using React Native.
- You want to integrate additional functionalities that LCW does not offer.
- Some other cool ideas. Please share with us on what you've achieved with the Chat SDK! π
Feature Comparisons
Feature | Live Chat Widget | Chat SDK | Notes |
---|
Bring Your Own Widget | β | β | |
Web Support | β | β | |
React Native Support | β | β | |
Escalation to Voice & Video | β | Web Only | |
Co-browse | β | β | |
Screen Sharing | β | β | |
Authenticated Chat | β | β | |
Pre-chat Survey | β | β | |
Post-chat Survey | β | β | |
Queue Position | β | β | |
Average Wait Time | β | β | |
Download Transcript | β | β | |
Email Transcript | β | β | |
Data Masking | β | β | |
File Attachments | β | β | |
Custom Context | β | β | |
Proactive Chat | β | BYOI * | |
* BYOI: Bring Your Own Implementation
Installation
npm install @microsoft/omnichannel-chat-sdk --save
API Reference
Method | Description | Notes |
---|
OmnichannelChatSDK.initialize() | Initializes ChatSDK internal data | |
OmnichannelChatSDK.startChat() | Starts OC chat, handles prechat response | |
OmnichannelChatSDK.endChat() | Ends OC chat | |
OmnichannelChatSDK.getPreChatSurvey() | Adaptive card data of PreChat survey | |
OmnichannelChatSDK.getLiveChatConfig() | Get live chat config | |
OmnichannelChatSDK.getDataMaskingRules() | Get active data masking rules | |
OmnichannelChatSDK.getCurrentLiveChatContext() | Get current live chat context information to reconnect to the same chat | |
OmnichannelChatSDK.getConversationDetails() | Get details of the current conversation such as its state & when the agent joined the conversation | |
OmnichannelChatSDK.getChatToken() | Get chat token | |
OmnichannelChatSDK.getMessages() | Get all messages | |
OmnichannelChatSDK.sendMessage() | Send message | |
OmnichannelChatSDK.onNewMessage() | Handles system message, client/agent messages, adaptive cards, attachments to download | |
OmnichannelChatSDK.onTypingEvent() | Handles agent typing event | |
OmnichannelChatSDK.onAgentEndSession() | Handler when agent ends session | |
OmnichannelChatSDK.sendTypingEvent() | Sends customer typing event | |
OmnichannelChatSDK.emailLiveChatTranscript() | Email transcript | |
OmnichannelChatSDK.getLiveChatTranscript() | Get transcript data (JSON) | |
OmnichannelChatSDK.uploadFileAttachment() | Send file attachment | |
OmnichannelChatSDK.downloadFileAttachment() | Download file attachment | |
OmnichannelChatSDK.createChatAdapter() | Get IC3Adapter | Web only |
OmnichannelChatSDK.getVoiceVideoCalling() | Get VoiceVideoCall SDK for Escalation to Voice & Video | Web only |
API examples
Import
import OmnichannelChatSDK from '@microsoft/omnichannel-chat-sdk';
Initialization
const omnichannelConfig = {
orgUrl: "",
orgId: "",
widgetId: ""
};
const chatSDKConfig = {
dataMasking: {
disable: false,
maskingCharacter: '#'
}
};
const chatSDK = new OmnichannelChatSDK.OmnichannelChatSDK(omnichannelConfig, chatSDKConfig);
await chatSDK.initialize();
Get Current Live Chat Context
const liveChatContext = await chatSDK.getCurrentLiveChatContext();
Get Conversation Details
const conversationDetails = await chatSDK.getConversationDetails();
Get Chat Token
const chatToken = await chatSDK.getChatToken();
Get Live Chat Config
const liveChatConfig = await chatSDK.getLiveChatConfig();
Get Data Masking Rules
const dataMaskingRules = await chatSDK.getDataMaskingRules();
Get PreChat Survey
Option 1
const preChatSurvey = await getPreChatSurvey();
Option 2
const parseToJSON = false;
const preChatSurvey = await getPreChatSurvey(parseToJSON);
Start Chat
const customContext = {
'contextKey1': {'value': 'contextValue1', 'isDisplayable': true},
'contextKey2': {'value': 12.34, 'isDisplayable': false},
'contextKey3': {'value': true}
};
const optionalParams = {
preChatResponse: '',
liveChatContext: {},
customContext
};
await chatSDK.startChat(optionalParams);
End Chat
await chatSDK.endChat();
On New Message Handler
const optionalParams = {
rehydrate: true,
}
chatSDK.onNewMessage((message) => {
console.log(`[NewMessage] ${message.content}`);
console.log(message);
}, optionalParams);
On Agent End Session
chatSDK.onAgentEndSession(() => {
console.log("Session ended!");
});
On Typing Event
chatSDK.onTypingEvent(() => {
console.log("Agent is typing...");
})
Get Messages
const messages = await chatSDK.getMessages();
Send Message
import {DeliveryMode, MessageContentType, MessageType, PersonType} from '@microsoft/omnichannel-chat-sdk';
...
const displayName = "Contoso"
const message = "Sample message from customer";
const messageToSend = {
content: message
};
await chatSDK.sendMessage(messageToSend);
Send Typing
await chatSDK.sendTypingEvent();
Upload Attachment
const fileInfo = {
name: '',
type: '',
size: '',
data: ''
};
await chatSDK.uploadFileAttachment(fileInfo);
Download Attachment
const blobResponse = await chatsdk.downloadFileAttachment(message.fileMetadata);
...
const fileReaderInstance = new FileReader();
fileReaderInstance.readAsDataURL(blobResponse);
fileReaderInstance.onload = () => {
const base64data = fileReaderInstance.result;
return <Image source={{uri: base64data}}/>
}
Get Live Chat Transcript
await chatSDK.getLiveChatTranscript();
Email Live Chat Transcript
const body = {
emailAddress: 'contoso@microsoft.com',
attachmentMessage: 'Attachment Message',
locale: 'en-us'
};
await chatSDK.emailLiveChatTranscript(body);
Common Scenarios
PreChatSurvey
import * as AdaptiveCards, { Action } from "adaptivecards";
...
const preChatSurvey = await chatSDK.getPreChatSurvey();
...
const renderPreChatSurvey = () => {
const adaptiveCard = new AdaptiveCards.AdaptiveCard();
adaptiveCard.parse(preChatSurvey);
adaptiveCard.onExecuteAction = async (action: Action) => {
const preChatResponse = (action as any).data;
const optionalParams: any = {};
if (preChatResponse) {
optionalParams.preChatResponse = preChatResponse;
}
await chatSDK.startChat(optionalParams);
}
const renderedCard = adaptiveCard.render();
return <div ref={(n) => { // Returns React element
n && n.firstChild && n.removeChild(n.firstChild); // Removes duplicates fix
renderedCard && n && n.appendChild(renderedCard);
}} />
}
Reconnect to existing Chat
await chatSDK.startChat();
const liveChatContext = await chatSDK.getCurrentLiveChatContext();
cache.saveChatContext(liveChatContext);
...
...
const liveChatContext = cache.loadChatContext()
const optionalParams = {};
optionalParams.liveChatContext = liveChatContext;
await chatSDK.startChat(optionalParams);
...
const messages = await chatSDK.getMessages();
messages.reverse().forEach((message: any) => renderMessage(message));
Authenticated Chat
const chatSDKConfig = {
getAuthToken: async () => {
const response = await fetch("http://contosohelp.com/token");
if (response.ok) {
return await response.text();
}
else {
return null
}
}
}
const chatSDK = new OmnichannelChatSDK.OmnichannelChatSDK(omnichannelConfig, chatSDKConfig);
await chatSDK.initialize();
NOTE: Currently supported on web only
import OmnichannelChatSDK from '@microsoft/omnichannel-chat-sdk';
import ReactWebChat from 'botframework-webchat';
...
const chatSDK = new OmnichannelChatSDK.OmnichannelChatSDK(omnichannelConfig, chatSDKConfig);
await chatSDK.initialize();
const optionalParams = {
preChatResponse: ''
};
await chatSDK.startChat(optionalParams);
const chatAdapter = await chatSDK.createChatAdapter();
chatSDK.onNewMessage((message) => {
console.log(`[NewMessage] ${message.content}`);
console.log(message);
});
(chatAdapter as any).activity$.subscribe((activity: any) => {
if (activity.type === "message") {
console.log("[Message activity]");
console.log(activity);
}
});
...
<ReactWebChat
userID="teamsvisitor"
directLine={chatAdapter}
sendTypingIndicator={true}
/>
Escalation to Voice & Video
NOTE: Currently supported on web only
import OmnichannelChatSDK from '@microsoft/omnichannel-chat-sdk';
...
const chatSDK = new OmnichannelChatSDK.OmnichannelChatSDK(omnichannelConfig, chatSDKConfig);
await chatSDK.initialize();
let VoiceVideoCallingSDK;
try {
VoiceVideoCallingSDK = await chatSDK.getVoiceVideoCalling();
console.log("VoiceVideoCalling loaded");
} catch (e) {
console.log(`Failed to load VoiceVideoCalling: ${e}`);
}
await chatSDK.startChat();
const chatToken: any = await chatSDK.getChatToken();
try {
await VoiceVideoCallingSDK.initialize({
chatToken,
selfVideoHTMLElementId: 'selfVideo',
remoteVideoHTMLElementId: 'remoteVideo',
OCClient: chatSDK.OCClient
});
} catch (e) {
console.error("Failed to initialize VoiceVideoCalling!");
}
VoiceVideoCallingSDK.onCallAdded(() => {
...
});
VoiceVideoCallingSDK.onLocalVideoStreamAdded(() => {
...
});
VoiceVideoCallingSDK.onLocalVideoStreamRemoved(() => {
...
});
VoiceVideoCallingSDK.onRemoteVideoStreamAdded(() => {
...
});
VoiceVideoCallingSDK.onRemoteVideoStreamRemoved(() => {
...
});
VoiceVideoCalling.onCallDisconnected(() => {
...
});
const isMicrophoneMuted = VoiceVideoCallingSDK.isMicrophoneMuted();
const isRemoteVideoEnabled = VoiceVideoCallingSDK.isRemoteVideoEnabled();
const isLocalVideoEnabled = VoiceVideoCallingSDK.isLocalVideoEnabled();
const acceptCallConfig = {
withVideo: true
};
await VoiceVideoCallingSDK.acceptCall(acceptCallConfig);
await VoiceVideoCallingSDK.rejectCall();
await VoiceVideoCallingSDK.stopCall();
await VoiceVideoCallingSDK.toggleMute()
await VoiceVideoCallingSDK.toggleLocalVideo()
VoiceVideoCallingSDK.close();
Feature Comparisons
Web
| Custom Control | WebChat Control |
---|
Features | | |
Chat Widget UI | Not provided | Basic chat client provided |
Data Masking | Embedded | Requires Data Masking Middleware implementation |
Send Typing indicator | Embedded | Requires sendTypingIndicator flag set to true |
PreChat Survey | Requires Adaptive Cards renderer | Requires Adaptive Cards renderer |
Display Attachments | Requires implementation | Basic interface provided & Customizable |
Incoming messages handling | IC3 protocol message data | DirectLine activity data |
React Native
| Custom Control | Gifted Chat Control | WebChat Control |
---|
Features | | | Currently not supported |
Chat Widget UI | Not provided | Basic chat client provided | X |
Data Masking | Embedded | Embedded | X |
Send Typing indicator | Embedded | Requires Implementation | X |
PreChat Survey | Requires Adaptive Cards renderer | Requires Adaptive Cards renderer | X |
Display Attachments | Requires implementation | Embedded | X |
Incoming messages handling | IC3 protocol message data | IC3 protocol message data | X |
Telemetry
Omnichannel Chat SDK collects telemetry by default to improve the featureβs capabilities, reliability, and performance over time by helping Microsoft understand usage patterns, plan new features, and troubleshoot and fix problem areas.
Some of the data being collected are the following:
Field | Sample |
---|
Organization Id | e00e67ee-a60e-4b49-b28c-9d279bf42547 |
Organization Url | org60082947.crm.oc.crmlivetie.com |
Widget Id | 1893e4ae-2859-4ac4-9cf5-97cffbb9c01b |
Browser Name | Edge |
Os Name | Windows |
Anonymized IP Address (last octet redacted) | 19.207.000.000 |
If your organization is concerned about the data collected by the Chat SDK, you have the option to turn off automatic data collection by adding a flag in the ChatSDKConfig
.
const omnichannelConfig = {
orgUrl: "",
orgId: "",
widgetId: ""
};
const chatSDKConfig = {
telemetry: {
disable: true
}
};
const chatSDK = new OmnichannelChatSDK.OmnichannelChatSDK(omnichannelConfig, chatSDKConfig);
await chatSDK.initialize();
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ or
contact opencode@microsoft.com with any additional questions or comments.