This sample shows how to create a bot that uses Language Understanding (LUIS). This bot example uses restify and dotenv.

Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.

In this sample, we demonstrate how to call LUIS to extract the intents from a user's message.

• Clone the repository

  git clone https://github.com/Microsoft/botbuilder-samples.git

• In a console, navigate to samples/javascript_nodejs/12.nlp-with-luis

  cd samples/javascript_nodejs/12.nlp-with-luis

• [Optional] Update the .env file under samples/javascript_nodejs/12.nlp-with-luis with your botFileSecret For Azure Bot Service bots, you can find the botFileSecret under application settings.
• Install modules and start the bot

  npm i && npm start

  Alternatively you can also use nodemon via

  npm i && npm run watch

Microsoft Bot Framework Emulator is a desktop application that allows bot developers to test and debug their bots on localhost or running remotely through a tunnel.

• Install the Bot Framework Emulator from here

• Launch Bot Framework Emulator
• File -> Open Bot Configuration and navigate to samples/javascript_nodejs/12.nlp-with-luis folder
• Select nlp-with-luis.bot file

• Navigate to LUIS portal.

• Click the Sign in button.

• Click on My Apps.

• Click on the Import new app button.

• Click on the Choose File and select reminders.json from the BotBuilder-Samples/javascript_nodejs/12.nlp-with-luis/cognitiveModels folder.

• Update nlp-with-luis.bot file with your AppId, SubscriptionKey, Region and Version. You can find this information under "Publish" tab for your LUIS application at LUIS portal. For example, for https://westus.api.cognitive.microsoft.com/luis/v2.0/apps/{LuisAppID}?subscription-key={LuisSubscriptionKey}&verbose=true&timezoneOffset=0&q=

  The Version is listed on the page. Note: Enter the either "authoringKey" OR "subscriptionKey", not both. See an example .bot service configuration for using LUIS here.

• Update index.js and set the LUIS_CONFIGURATION value to match the name field in your service declaration.

• Update nlp-with-luis.bot file with your Authoring Key.
  You can find this under your user settings at luis.ai. Click on your name in the upper right hand corner of the portal, and click on the "Settings" menu option.

  NOTE: Once you publish your app on LUIS portal for the first time, it may take some time to go live.

• Your .bot file should now include an item in the services array that looks like this:

{
    "type":"luis",
    "name":"<some name>",
    "appId":"<an app id>",
    "version":"<a version number>",
    "authoringKey":"<your authoring key>",
    "subscriptionKey":"<your subscription key>",
    "region":"<region>",
    "id":"<some number>"
}

• Install the ludown CLI tool here to help describe language understanding components for your bot.
• Install the luis CLI tool here to create and manage your LUIS applications.

Language Understanding service (LUIS) allows your application to understand what a person wants in their own words. LUIS uses machine learning to allow developers to build applications that can receive user input in natural language and extract meaning from it.

You can use the MSBot Bot Builder CLI tool to clone and configure any services this sample depends on.

To install all Bot Builder tools -

Ensure you have Node.js version 8.5 or higher

npm i -g msbot chatdown ludown qnamaker luis-apis botdispatch luisgen

To clone this bot, run

msbot clone services -f deploymentScripts/msbotClone -n <BOT-NAME> -l <Azure-location> --subscriptionId <Azure-subscription-id>

• Using LUIS for Language Understanding
• Azure Bot Service
• LUIS documentation