After creating an Entity, Confirmation, or Message node in the Dialog Builder, Kore.ai lets you do the following:
- Modify the default message or user prompt displayed to the end-user.
- Add new prompts or messages.
- Add channel-specific prompts or messages.
Prompt Types
Dialog Tasks support two types of user prompts:
- Standard: The prompt defined when adding a node in Dialog Builder is the standard or default prompt. When multiple standard prompts are defined for a node, the Platform chooses a random one to display to the end-user.
- Channel-Specific: Optionally, define user prompts for specific channels such as email, SMS, Twitter, and more. Different widgets can be used based on channels such as a slider for numbers, date and time picker, and range selectors.
Prompt Editor
The prompt editor has three tabs to offer the following features:
- Simple: Basic editor controls and HTML to define and format the user prompt. Enter text, and then format it using buttons for bold, italics, header styles, hyperlinks, ordered and unordered lists, and inserting lines.
- JavaScript: Advanced JavaScript editor to define, format, and render the user prompt.
- Preview: View a sample of the rendered output message with markup as displayed to the end-user.
Below is the JavaScript message from the Book Flights bot that presents the response from a weather API to the users in a custom format:
In the case of Error Prompts, if you have enabled the Present Prompts in the Order of Retries toggle, the handlebar icon will be visible before each error prompt message. You can use this to re-order the messages so that it is displayed in that sequence.
Configuration
You can add or edit the prompts or bot messages from the Component Properties tab of an Entity, Confirmation, or Message node.
In the case of Entity and Confirmation nodes, you refer to Prompts whereas, for the Message node, they are referred to as Responses.
- On the dialog task builder, click the + icon next to the respective node for which you want to configure the prompts or responses.
- Select Confirmation > New Confirmation Node.
- The Confirmation window is displayed with the Components Properties tab selected by default.
- Under the User Prompts (or Bot Responses) section, click Manage Prompts Messages.
Note: If you want to make text edits to the default sample message, modify the message directly in the text box and press Enter without clicking Manage Prompts Messages.
- Do one of the following:
- To edit the default sample message by adding context object variables or javascript code, click the sample message. The Message editor opens.
- To add a new prompt message, click Add Prompt Message/Manage Prompts. The Message editor opens.
- In the Channel drop-down list, All Channels is the default value. To create a channel-specific message, select the channel from the list.
- On the Message Editor, the Plain Text tab is the default selection. If you want to compose a Javascript message, click the JavaScript tab.
Note: You can use stored context variables with {{variable brackets}}. For example, ‘Hello {{context.session.UserContext.firstName}}. How can I help you?’ - Compose the message and click Save.
To add any more bot responses, repeat from step 2b.
Plain Text Prompts
Use the Plain Text tab in the editor to compose the user prompts using basic editor controls and HTML. You can enter text, and then format the text using the formatting buttons for bold, italics, header styles, hyperlinks, ordered and unordered lists, and inserting a line.
The plain text tab supports the following markups:
Markdown | Output |
---|---|
#h1 | Heading One |
#h2 | Heading Two |
#h3 | Heading Three |
#h4 | Heading Four |
#h5 | Heading Five |
#h6 | Heading Six |
“`Hello“` | |
*Bold* | Bold |
~Italic~ | Italic |
[Link](http://www.google.com) | Link |
![Image](https://kbob.github.io/images/sample-4.jpg) | |
Order 1. This is one 2. This is two |
Order
|
Bullet * This is one * This is two |
Bullet
|
Hi! This is>>indented | |
This is line ___ | This is line ___ |
JavaScript Prompts or Responses
On the JavaScript tab of the editor, you can add custom code to handle the user prompt message using system and session variables. The following is a sample code for displaying the weather forecast for a location:
var loc=context.weatherapi.response.body.query.results.channel.item.condition.text.toLowerCase(); print("Here are the details:\n"); if(loc.indexOf("clear")>=0) { print('Its clear outside.'); } else if(loc.indexOf("sunny")>=0) { print("Its sunny outside"); } else if(loc.indexOf("cloud")>=0) { print("Its very cloudy day"); } else if (loc.indexOf('snow')>=0) { print('Its snowy day'); } else if(loc.indexOf('rain')>=0) { print('Yes, it looks like rainy day.'); } else if(loc.indexOf('breeze')>=0) { print("It's very breezy out there."); } else if(loc.indexOf('wind')>=0) { print("It's very windy out there."); } else if(loc.indexOf('shower')>=0) { print("It showering outside."); } print("Weather condition: " + context.weather +"\n"); print("Updated at: " + context.lastupdate+"\n"); print("Temperature: " + context.temp+"\n"); print("Wind: " + context.wind+"\n"); print("Pressure: " + context.pressure+"\n"); print("Visibility: " + context.humidity+"\n"); print("Humidity: " + context.visibility+"\n");
For more information, see Using Session and Context Variables in Tasks.
Preview
On the Preview tab, you can view a sample of the rendered output message that is displayed to the end-user with markup. To render the output for the code involving context variables, define them to use the Key and Value boxes in the tab to render a valid sample output for preview.
Channel-Specific User Prompts
By default, the Dialog Tasks configures the standard user prompts for all channels. However, you can define a specific response for one or more channels to display to the end-user in that channel instead of the Default response.
To define a channel-specific response, select a channel, for example, Kore.ai, and then define the user prompt on the JavaScript tab as needed. Only one response can be defined for each channel.
Note: Use the following keys to return default values for:
response.message – Returns the default message as a string.
response.message.choices – Returns the options choice or confirmation message types as an array.
Slack Channel Override
The following is the payload given in Slack.
{ "blocks": [ { "type": "actions", "elements": [ { "type": "button", "text": { "type": "plain_text", "emoji": true, "text": "Approve" }, "style": "primary", "value": "click_me_123" }, { "type": "button", "text": { "type": "plain_text", "emoji": true, "text": "Deny" }, "style": "danger", "value": "click_me_123" } ] }, { "type": "section", "fields": [ { "type": "mrkdwn", "text": "*Type:*\nComputer (laptop)" }, { "type": "mrkdwn", "text": "*When:*\nSubmitted Aut 10" }, { "type": "mrkdwn", "text": "*Last Update:*\nMar 10, 2015 (3 years, 5 months)" }, { "type": "mrkdwn", "text": "*Reason:*\nAll vowel keys aren't working." }, { "type": "mrkdwn", "text": "*Specs:*\n\"Cheetah Pro 15\" - Fast, really fast\"" } ] }, { "type": "section", "text": { "type": "mrkdwn", "text": "You have a new request:\n**" } } ] }
The following code gives you the detail on how to override the prompt messages from the bot builder for Slack channel:
var message = { "blocks": [ { "type": "actions", "elements": [ { "type": "button", "text": { "type": "plain_text", "emoji": true, "text": "Approve" }, "style": "primary", "value": "click_me_123" }, { "type": "button", "text": { "type": "plain_text", "emoji": true, "text": "Deny" }, "style": "danger", "value": "click_me_123" } ] }, { "type": "section", "fields": [ { "type": "mrkdwn", "text": "*Type:*\nComputer (laptop)" }, { "type": "mrkdwn", "text": "*When:*\nSubmitted Aut 10" }, { "type": "mrkdwn", "text": "*Last Update:*\nMar 10, 2015 (3 years, 5 months)" }, { "type": "mrkdwn", "text": "*Reason:*\nAll vowel keys aren't working." }, { "type": "mrkdwn", "text": "*Specs:*\n\"Cheetah Pro 15\" - Fast, really fast\"" } ] }, { "type": "section", "text": { "type": "mrkdwn", "text": "You have a new request:\n**" } } ] } print(JSON.stringify(message));
FaceBook Channel Override
var message = { text: response.message }; var buttons = []; for (var i = 0; i < response.choices.length; i++) { var choiceItem = response.choices[i]; if (choiceItem.length > 20) { choiceItem = choiceItem.substring( 0, 18) + '..'; } var element = { content_type: 'text', title: choiceItem, payload: choiceItem }; buttons.push(element); } message.quick_replies = buttons; print(JSON.stringify(message));
Email Channel Override
var message = {}; var text = response.message + ' <br> '; for (var i = 0; i < response.choices.length; i++) { text = text.concat( '<u> + response.choices[i] + ' < /u> <br>'); } message.text = text; print(JSON.stringify(message));
SMS Channel Override
var message = {}; var indexArray = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z' ]; var text = response.message + '\\n'; for (var i = 0; i < response.choices .length; i++) { text = text.concat(indexArray[i] + ') ' + response.choices[ i] + '\\n'); } message.text = text; print(JSON.stringify(message));
MS Teams Channel Override
MS Teams offers a wide range of templates, refer here
Kore.ai extends support to the following templates:
- Hero Card
- List Card
- Receipt Card
Adaptive card template is supported only at composite entity. Below is the payload structure to be followed
var msg = { "attachments":[ { "contentType": "application/vnd.microsoft.card.adaptive", "content": { "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "type": "AdaptiveCard", "version": "1.0", "body": [ { "type": "TextBlock", "text": "Please select group and role ", "weight": "Bolder", "color": "Accent" }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Group" }, { "type": "Input.ChoiceSet", "id": "Group_Value", "placeholder": "Select Group", "choices": [ { "title": "Lamp Electr IND", "value": "Lamp Electr IND" }, { "title": "LED Electr IND", "value": "LED Electr IND" }, { "title": "LED Lamps IND", "value": "LED Lamps IND" }, { "title": "Prof IND", "value": "Prof IND" }, { "title": "Prof Sys IND", "value": "Prof Sys IND" } ], "separator": true, "$data": "Group_Value", "value": "Lamp Electr IND" } ] }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Role" }, { "type": "Input.ChoiceSet", "id": "Role_Value", "placeholder": "Select Role", "choices": [ { "title": "01 RnD-Author", "value": "01 RnD-Author" }, { "title": "01 RnD-Viewer", "value": "01 RnD-Viewer" }, { "title": "02 QRC-Author", "value": "02 QRC-Author" }, { "title": "02 QRC-Viewer", "value": "02 QRC-Viewer" }, { "title": "03 MFR-Author", "value": "03 MFR-Author" }, { "title": "03 MFR-Viewer", "value": "03 MFR-Viewer" } ], "separator": true, "$data": "Role_Value", "value": "01 RnD-Author" } ] } ], "separator": true } ], "actions": [ { "type": "Action.Submit", "title": "Submit", "style": "positive" } ] } } ] }; print(JSON.stringify(msg));
On selecting any of the options from the template, the selected values will be stored in the context and can be used from the context as well.