A simple sample application demonstrating the Watson Assistant api.
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🚀 Watson Assistant (formerly Conversation) Sample Application

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

Travis semantic-release


You can view a demo of this app.


  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:


    However, if your credentials contain an IAM API key, copy the apikey and url to the relevant fields.

        "apikey": "ca2905e6-7b5d-4408-9192-e4d54d83e604",
        "iam_apikey_description": "Auto generated apikey during resource-key ...",
        "iam_apikey_name": "auto-generated-apikey-62b71334-3ae3-4609-be26-846fa59ece42",
        "iam_role_crn": "crn:v1:bluemix:public:iam::::serviceRole:Manager",
        "iam_serviceid_crn": "crn:v1:bluemix:public:iam...",
        "url": "https://gateway-syd.watsonplatform.net/assistant/api"
  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: https://my-app-name.mybluemix.net


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



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