Ember¶

Integrating with Alan AI¶

To integrate an Ember app with Alan AI:

Install the @alan-ai/alan-sdk-web package:
Terminal¶
```
npm install @alan-ai/alan-sdk-web --save
```
Install the ember-auto-import package to have an ability to use packages from npm:
Terminal¶
```
npm install ember-auto-import --save
```

Add the following code to the app.js file in your project:

Client app¶

window.alanBtnInstance = alanBtn({
  key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
  host: 'v1.alan.app',
  onCommand: (commandData) => {
    if (commandData.command === 'go:back') {
      // Call the client code that will react to the received command
    }
  },
});

Note

Mind the following:

Regularly update the @alan-ai/alan-sdk-web package your project depends on. To check if a newer version is available, run npm outdated. To update the alan package, run npm update @alan-ai/alan-sdk-web. For more details, see npm documentation.
For simplicity, in the examples provided in this section, we store the alanBtnInstance in the window variable. In your project, you can use any method that suits you best.

Specifying the Alan AI agentic interface parameters —————————————————r

You can specify the following parameters for the Alan AI agentic interface added to your app:

Name	Type	Description
`key`	string	The Alan AI SDK key for a project in Alan AI Studio.
`host`	string	The Alan AI Studio host to which the AI assistant button must connect, for example: `'v1.alan.app'`.
`theme`	string	The default theme to be used for the Alan AI agentic interface and Text Chat, for example: `'light'` or `'dark'`.
`authData`	JSON object	The authentication or configuration data to be sent to the dialog script. For details, see authData.
`rootEl`	HTMLElement	The element where Alan AI agentic interface will be added. If no `rootEl` is provided, the Alan AI agentic interface is added to the `body`.
`mode`	string	Specifies how the Agentic Interface should be rendered. Use `'inlined'` to render the Agentic Interface inline in the div. If not specified, the Agentic Interface will be rendered as popup.
`chatEl`	HTMLElement	The element where the Agentic Interface should be added if the `mode` is set to `'inlined'`. This is a required parameter when `mode` is `'inlined'`.
`showOverlayOnMicPermissionPrompt`	Boolean	The property signaling whether the overlay fade effect must be used when the microphone permission prompt in the browser is displayed. The overlay effect makes the prompt more noticeable and helps make sure users provide microphone access to the Agentic Interface.
`onCommand`	function	A callback for handling commands from the dialog script. In this callback, you can set up logic on how your app must react to commands received from the dialog script. For details, see onCommand handler.
`onButtonState`	function	A callback for receiving the connection state of the Alan AI agentic interface. For details, see onButtonState handler.
`onConnectionStatus`	function	A callback for receiving the connection state of the Agentic Interface project run in the Alan AI Cloud. For details, see onConnectionStatus handler.
`onEvent`	function	A callback responsible for handling events received from Alan AI. For details, see onEvent handler.
`textChat`	object	Provides additional configuration options and handlers for managing the Alan AI Agentic Interface. For details, see the table below.

textChat Properties

Name	Type	Description
`closeDelay`	number	Specifies the delay (in milliseconds) for the close animation in inline mode.
`showBtnIfChatOpen`	boolean	Determines whether the Agentic Interface should be shown in inline mode.
`openByDefault`	boolean	Indicates whether the Agentic Interface should be open or closed by default when rendered in inline mode.
`onOpen`	function	A callback function that is triggered when the Agentic Interface is opened.
`onClose`	function	A callback function that is triggered when the Agentic Interface is closed.
`onMinimize`	function	A callback function that is triggered when the Agentic Interface is minimized.

Changing the Alan AI agentic interface position¶

By default, the Alan AI agentic interface is placed in the bottom right corner of the window. To change the Alan AI agentic interface position, you can use the following options for the alanBtn variable:

left: sets the Alan AI agentic interface position from the left edge
right: sets the Alan AI agentic interface position from the right edge
top: sets the Alan AI agentic interface position from the top edge
bottom: sets the Alan AI agentic interface position from the bottom edge
zIndex: sets the z-order of the Alan AI agentic interface

Client app¶

alanBtn({
   key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
   bottom: '50px',
   left: '50px',
   zIndex: 10
});

Using client API methods¶

You can use the following client API methods in your Ember app:

setVisualState()
callProjectApi()
playText()
sendText()
playCommand()
activate()
deactivate()
isActive()
remove()
textChat.isAudioOutputEnabled()
textChat.setAudioOutputEnabled()
textChat.setFullScreenMode()
textChat.open()
textChat.close()
textChat.minimize()
textChat.clear()
theme.setTheme(theme)
theme.getTheme()

setVisualState()¶

Use the setVisualState() method to inform the Agentic Interface about the app’s visual context. For details, see setVisualState().

Client app¶

window.alanBtnInstance.setVisualState({data:"your data"});

callProjectApi()¶

Use the callProjectApi() method to send data from the client app to the dialog script and trigger activities without voice and text commands. For details, see callProjectApi().

Dialog script¶

projectAPI.setClientData = function(p, param, callback) {
  console.log(param);
};

Client app¶

window.alanBtnInstance.callProjectApi("setClientData", {value:"your data"}, function (error, result){
  // Handling error and result
});

playText()¶

Use the playText() method to play specific text in the client app. For details, see playText().

Client app¶

window.alanBtnInstance.playText("Hi! I am Alan");

sendText()¶

Use the sendText() method to send a text message to Alan AI as the user’s input. For details, see sendText().

Client app¶

window.alanBtnInstance.sendText("Hello Alan, can you help me?");

playCommand()¶

Use the playCommand() method to execute a specific command in the client app. For details, see playCommand().

Client app¶

window.alanBtnInstance.playCommand({command: "goBack"});

activate()¶

Use the activate() method to activate the Alan AI agentic interface programmatically. For details, see activate().

Client app¶

window.alanBtnInstance.activate()

deactivate()¶

Use the deactivate() method to deactivate the Alan AI agentic interface programmatically. For details, see deactivate().

Client app¶

window.alanBtnInstance.deactivate()

isActive()¶

Use the isActive() method to check the Alan AI agentic interface state: active or not. For details, see isActive().

Client app¶

window.alanBtnInstance.isActive()

remove()¶

Use the remove() method to remove the Alan AI agentic interface from the parent element. For details, see remove().

Client app¶

window.alanBtnInstance.remove()

textChat.isAudioOutputEnabled()¶

Use the textChat.isAudioOutputEnabled() method to get the state of audio output for the Alan AI Agentic Interface. For details, see textChat.isAudioOutputEnabled().

Client app¶

alanBtnInstance.textChat.isAudioOutputEnabled()

textChat.setAudioOutputEnabled()¶

Use the textChat.setAudioOutputEnabled() method to enable or disable audio output for the Alan AI Agentic Interface. For details, see textChat.setAudioOutputEnabled().

Client app¶

alanBtnInstance.textChat.setAudioOutputEnabled(true)

textChat.setFullScreenMode()¶

Use the textChat.setFullScreenMode() method allows switching the Alan AI Agentic Interface between full-screen and normal view. For details, see textChat.setFullScreenMode().

Client app¶

alanBtnInstance.textChat.setFullScreenMode(true);

textChat.open()¶

Use the textChat.open() method to open the Alan AI Agentic Interface. For details, see textChat.open().

Client app¶

alanBtnInstance.textChat.open(); // Opens the Alan AI Agentic Interface

textChat.close()¶

Use the textChat.close() method to close the Alan AI Agentic Interface. For details, see textChat.close().

Client app¶

alanBtnInstance.textChat.close(); // Closes the Alan AI Agentic Interface

textChat.minimize()¶

Use the textChat.minimize() method to minimize the Alan AI Agentic Interface. For details, see textChat.minimize().

Client app¶

alanBtnInstance.textChat.minimize(); // Minimizes the Alan AI Agentic Interface

textChat.clear()¶

Use the textChat.clear() method to clear the Alan AI Agentic Interface. For details, see textChat.clear().

Client app¶

alanBtnInstance.textChat.clear(); // Clears the Agentic Interface history.

theme.setTheme(theme)¶

Use the theme.setTheme(theme) method to set the Alan AI Agentic Interface theme to either light and dark. For details, see theme.setTheme(theme).

Client app¶

alanBtnInstance.theme.setTheme('light');

theme.getTheme()¶

Use the theme.getTheme() method to retrieve the current theme of the Alan AI Agentic Interface. For details, see theme.getTheme().

Client app¶

alanBtnInstance.theme.getTheme(); // returns 'light' or 'dark'

Using handlers¶

You can use the following Alan AI handlers in your Ember app:

onCommand handler
onButtonState handler
onConnectionStatus handler
onEvent handler

onCommand handler¶

Use the onCommand handler to handle commands sent from the dialog script. For details, see onCommand handler.

Client app¶

alanBtn({
  key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
  host: 'v1.alan.app',
  onCommand: (commandData) => {
    if (commandData.command === 'go:back') {
      // Call client code that will react to the received command
    }
  },
});

onButtonState handler¶

Use the onButtonState handler to capture and handle the Alan AI agentic interface state changes. For details, see onButtonState handler.

Client app¶

alanBtn({
  key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
  host: 'v1.alan.app',
  onButtonState: function (e) {
    console.info('onButtonState', e);
  },
});

onConnectionStatus handler¶

Use the onConnectionStatus handler to capture and handle the connection status for the Agentic Interface project. For details, see onConnectionStatus handler.

Client app¶

alanBtn({
  key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
  host: 'v1.alan.app',
  onConnectionStatus: function(status) {
    console.log("The status is " + status);
  },
});

onEvent handler¶

Use the onEvent handler to capture and handle events emitted by Alan AI: get user’s utterances, Agentic Interface responses and so on. For details, see onEvent handler.

Client app¶

alanBtn({
  key: 'YOUR_KEY_FROM_ALAN_STUDIO_HERE',
  host: 'v1.alan.app',
  onEvent: function (e) {
    console.info('onEvent', e);
  },
});

textChat parameter¶

Use the textChat to provide additional configuration options and handlers for managing the Alan AI Agentic Interface in “inlined” mode. For details, see textChat parameter.

What’s next?¶

Example apps

Find and explore examples of Agentic Interfaces in Alan AI GitHub.