Application that demonstrates how the Watson Assistant service uses intent capabilities in an animated car dashboard UI.
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stevenpkg and germanattanasio feat: Added support for workspace option/buttons (#95)
* added IAM API support

* Minor formatting of readme

* removed comments

* Update .env assistant url

* Update readme to the same as assistant simple, as there is no difference in configuring these two demos

* Minor update

* Added gif demo

* Added gif demo

* Removed if else to create Assistant object as it not required as SDK searchs for environmental variables

* Added comment to Assistant constructor

* Added a little extra info in the README for credentials automaticaly being localed in the .env file

* Small correction

* Small correction

* Added options/buttons to chat area

* Removed a console.log

* Minor changes

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* fixed conflict
Latest commit 9395469 Aug 2, 2018

Watson Assistant (formerly Conversation) Car Dashboard Demo Application

This Node.js app demonstrates the Watson Assistant service in an interface simulating a cognitive car dashboard.

Travis semantic-release

For more information about Watson Assistant, see the detailed documentation.


See the demo.


  1. Sign up for an IBM Cloud account.
  2. Download the IBM Cloud CLI.
  3. Create an instance of the Watson Assistant service and get your credentials:
    • Go to the Watson Assistant page in the IBM Cloud Catalog.
    • Log in to your IBM Cloud account.
    • Click Create.
    • Click Show to view the service credentials.
    • Copy the apikey value, or copy the username and password values if your service instance doesn't provide an apikey.
    • Copy the url value.

Configuring the application

  1. In your IBM Cloud console, open the Watson Assistant service instance

  2. Click the Import workspace icon in the Watson Assistant service tool. Specify the location of the workspace JSON file in your local copy of the app project:


  3. Select Everything (Intents, Entities, and Dialog) and then click Import. The car dashboard workspace is created.

  4. Click the menu icon in the upper-right corner of the workspace tile, and then select View details.

  5. Click the Copy icon to copy the workspace ID to the clipboard.

    Steps to get credentials

  6. In the application folder, copy the .env.example file and create a file called .env

    cp .env.example .env
  7. Open the .env file and add the service credentials that you obtained in the previous step. The Watson SDK automaticaly locates the correct enviromental variables for either username, password, and url or the apikey and url credentials found in the .env file.

    Example .env file that configures the apikey and url for a Watson Assistant service instance hosted in the US East region:

    • If your service instance uses username and password credentials, add the ASSISTANT_USERNAME and ASSISTANT_PASSWORD variables to the .env file.

    Example .env file that configures the username, password, and url for a Watson Assistant service instance hosted in the US South region:

  8. Add the WORKSPACE_ID to the previous properties


Running locally

  1. Install the dependencies

    npm install
  2. Run the application

    npm start
  3. View the application in a browser at localhost:3000

Deploying to IBM Cloud as a Cloud Foundry Application

  1. Login to IBM Cloud with the IBM Cloud CLI

    ibmcloud login
  2. Target a Cloud Foundry organization and space.

    ibmcloud target --cf
  3. Edit the manifest.yml file. Change the name field to something unique.
    For example, - name: my-app-name.

  4. Deploy the application

    ibmcloud app push
  5. View the application online at the app URL.
    For example:


This sample code is licensed under Apache 2.0.
Full license text is available in LICENSE.



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