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@microsoft/omnichannel-chat-sdk

Microsoft Omnichannel Chat SDK

  • 0.1.0-main.814fc2e
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  • npm
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Omnichannel Chat SDK

Chat SDK to interact with Omnichannel and IC3 services to help build your own chat widget.

Installation

    npm install @microsoft/omnichannel-chat-sdk --save

API

High Level Overview

MethodDescriptionNotes
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.getCurrentLiveChatContext()Get current live chat context information to reconnect to the same chat
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)

Import

    import OmnichannelChatSDK from '@microsoft/omnichannel-chat-sdk';

Initialization

    const omnichannelConfig = {
        orgUrl: "",
        orgId: "",
        widgetId: ""
    };

    const chatSDKConfig = { // Optional
        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 Chat Token

    const chatToken = await chatSDK.getChatToken();

Get Live Chat Config

    const liveChatConfig = await chatSDK.getLiveChatConfig();

Get PreChat Survey

Option 1

    const preChatSurvey = await getPreChatSurvey(); // Adaptive Cards JSON payload data

Option 2

    const parseToJSON = false;
    const preChatSurvey = await getPreChatSurvey(parseToJSON); // Adaptive Cards payload data as string

Start Chat

    const optionalParams = {
        preChatResponse: '', // PreChatSurvey response
        liveChatContext: {} // EXISTING chat context data
    };
    await chatSDK.startChat(optionalParams);

End Chat

    await chatSDK.endChat();

On New Message Handler

    chatSDK.onNewMessage((message) => {
      console.log(`[NewMessage] ${message.content}`); // IC3 protocol message data
      console.log(message);
    });

On Agent End Session

    chatSDK.onAgentEndSession(() => {
      console.log("Session ended!");
    });

On Typing Event

    chatSDK.onTypingEvent(() => {
      console.log("Agent is typing...");
    })

    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);

    ...

    // React Native implementation
    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);

Samples

PreChatSurvey

    import * as AdaptiveCards, { Action } from "adaptivecards";

    ...

    const preChatSurvey = await chatSDK.getPreChatSurvey();

    ...

    // Web implementation
    const renderPreChatSurvey = () => {
        const adaptiveCard = new AdaptiveCards.AdaptiveCard();
        adaptiveCard.parse(preChatSurvey); // Parses Adaptive Card JSON data
        adaptiveCard.onExecuteAction = async (action: Action) => { // Adaptive Card event handler
            const preChatResponse = (action as any).data;
            const optionalParams: any = {};
            if (preChatResponse) {
                optionalParams.preChatResponse = preChatResponse;
            }
            await chatSDK.startChat(optionalParams);
        }

        const renderedCard = adaptiveCard.render(); // Renders as HTML element
        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(); // Starts NEW chat

    const liveChatContext = await chatSDK.getCurrentLiveChatContext(); // Gets chat context

    cache.saveChatContext(liveChatContext); // Custom logic to save chat context to cache

    ...

    // Page/component reloads, ALL previous states are GONE

    ...

    const liveChatContext = cache.loadChatContext() // Custom logic to load chat context from cache

    const optionalParams = {};
    optionalParams.liveChatContext = liveChatContext;

    await chatSDK.startChat(); // Reconnects to EXISTING chat

    ...

    const messages = await chatSDK.getMessages(); // Gets all messages from EXISTING chat
    messages.reverse().forEach((message: any) => renderMessage(message)); // Logic to render all messages to UI

Use BotFramework-WebChat

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: '' // PreChatSurvey response
    };

    await chatSDK.startChat(optionalParams);
    const chatAdapter = await chatSDK.createChatAdapter();

    // Subscribes to incoming message (OPTION 1)
    chatSDK.onNewMessage((message) => {
      console.log(`[NewMessage] ${message.content}`); // IC3 protocol message data
      console.log(message);
    });

    // Subscribes to incoming message (OPTION 2)
    (chatAdapter as any).activity$.subscribe((activity: any) => {
        if (activity.type === "message") {
            console.log("[Message activity]");
            console.log(activity); // DirectLine protocol activity data
        }
    });

    ...

    <ReactWebChat
        userID="teamsvisitor"
        directLine={chatAdapter}
        sendTypingIndicator={true}
    />

Feature Comparisons

Web

Custom ControlWebChat Control
Features
Chat Widget UINot providedBasic chat client provided
Data MaskingEmbeddedRequires Attachment Middleware implementation
Send Typing indicatorEmbeddedRequires sendTypingIndicator flag set to true
PreChat SurveyRequires Adaptive Cards rendererRequires Adaptive Cards renderer
Display AttachmentsRequires implementationProvided & Customizable
Incoming messages handlingIC3 protocol message dataDirectLine activity data

React Native

Custom ControlGifted Chat ControlWebChat Control
FeaturesCurrently not supported
Chat Widget UINot providedBasic chat client providedX
Data MaskingEmbeddedEmbeddedX
Send Typing indicatorEmbeddedWIPX
PreChat SurveyRequires Adaptive Cards rendererRequires Adaptive Cards rendererX
Display AttachmentsRequires implementationEmbeddedX
Incoming messages handlingIC3 protocol message dataIC3 protocol message dataX

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.

FAQs

Package last updated on 15 Sep 2020

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