Quickstart: Get intent using Java

In this quickstart, pass utterances to a LUIS endpoint and get intent and entities back.

In this quickstart, use an available public LUIS app to determine a user's intention from conversational text. Send the user's intention as text to the public app's HTTP prediction endpoint. At the endpoint, LUIS applies the public app's model to analyze the natural language text for meaning, determining overall intent and extracting data relevant to the app's subject domain.

This quickstart uses the endpoint REST API. For more information, see the endpoint API documentation.

For this article, you need a free LUIS account.


  • JDK SE (Java Development Kit, Standard Edition)
  • Visual Studio Code or your favorite IDE
  • Public app ID: df67dcdb-c37d-46af-88e1-8b97951ca1c2


The complete solution is available from the cognitive-services-language-understanding GitHub repository.

Get LUIS key

Access to the prediction endpoint is provided with an endpoint key. For the purposes of this quickstart, use the free starter key associated with your LUIS account.

  1. Sign in using your LUIS account.

    Screenshot of Language Understanding (LUIS) app list

  2. Select your name in the top right menu, then select Settings.

    LUIS user settings menu access

  3. Copy the value of the Authoring key. You will use it later in the quickstart.

    Screenshot of Language Understanding (LUIS) user settings

    The authoring key allows free unlimited requests to the authoring API and up to 1000 queries to the prediction endpoint API per month for all your LUIS apps.

Get intent with browser

To understand what a LUIS prediction endpoint returns, view a prediction result in a web browser. In order to query a public app, you need your own key and the app ID. The public IoT app ID, df67dcdb-c37d-46af-88e1-8b97951ca1c2, is provided as part of the URL in step one.

The format of the URL for a GET endpoint request is:

  1. The endpoint of the public IoT app is in this format: https://westus.api.cognitive.microsoft.com/luis/v2.0/apps/df67dcdb-c37d-46af-88e1-8b97951ca1c2?subscription-key=<YOUR_KEY>&q=turn on the bedroom light

    Copy the URL and substitute your key for the value of <YOUR_KEY>.

  2. Paste the URL into a browser window and press Enter. The browser displays a JSON result that indicates that LUIS detects the HomeAutomation.TurnOn intent as the top intent and the HomeAutomation.Room entity with the value bedroom.

      "query": "turn on the bedroom light",
      "topScoringIntent": {
        "intent": "HomeAutomation.TurnOn",
        "score": 0.809439957
      "entities": [
          "entity": "bedroom",
          "type": "HomeAutomation.Room",
          "startIndex": 12,
          "endIndex": 18,
          "score": 0.8065475
  3. Change the value of the q= parameter in the URL to turn off the living room light, and press Enter. The result now indicates that LUIS detected the HomeAutomation.TurnOff intent as the top intent and the HomeAutomation.Room entity with value living room.

      "query": "turn off the living room light",
      "topScoringIntent": {
        "intent": "HomeAutomation.TurnOff",
        "score": 0.984057844
      "entities": [
          "entity": "living room",
          "type": "HomeAutomation.Room",
          "startIndex": 13,
          "endIndex": 23,
          "score": 0.9619945

Get intent programmatically

You can use Java to access the same results you saw in the browser window in the previous step. Be sure to add the Apache libraries to your project.

  1. Copy the following code to create a class in a file named LuisGetRequest.java:

    // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/downloads.cgi)
    // You need to add the following Apache HTTP client libraries to your project:
    // httpclient-4.5.3.jar
    // httpcore-4.4.11.jar
    // commons-logging-4.0.6.jar
    import java.net.URI;
    import org.apache.http.HttpEntity;
    import org.apache.http.HttpResponse;
    import org.apache.http.client.HttpClient;
    import org.apache.http.client.methods.HttpGet;
    import org.apache.http.client.utils.URIBuilder;
    import org.apache.http.impl.client.HttpClients;
    import org.apache.http.util.EntityUtils;
    public class LuisGetRequest {
        public static void main(String[] args) 
            HttpClient httpclient = HttpClients.createDefault();
                // The ID of a public sample LUIS app that recognizes intents for turning on and off lights
                String AppId = "df67dcdb-c37d-46af-88e1-8b97951ca1c2";
                // Add your endpoint key 
                // You can use the authoring key instead of the endpoint key. 
                // The authoring key allows 1000 endpoint queries a month.
                String EndpointKey = "YOUR-KEY";
                // Begin endpoint URL string building
                URIBuilder endpointURLbuilder = new URIBuilder("https://westus.api.cognitive.microsoft.com/luis/v2.0/apps/" + AppId + "?");
                // query text
                endpointURLbuilder.setParameter("q", "turn on the left light");
                // create URL from string
                URI endpointURL = endpointURLbuilder.build();
                // create HTTP object from URL
                HttpGet request = new HttpGet(endpointURL);
                // set key to access LUIS endpoint
                request.setHeader("Ocp-Apim-Subscription-Key", EndpointKey);
                // access LUIS endpoint - analyze text
                HttpResponse response = httpclient.execute(request);
                // get response
                HttpEntity entity = response.getEntity();
                if (entity != null) 
            catch (Exception e)
  2. Replace the value of the YOUR-KEY variable with your LUIS key.

  3. Replace with your file path and compile the java program from a command line: javac -cp .;<FILE_PATH>\* LuisGetRequest.java.

  4. Replace with your file path and run the application from a command line: java -cp .;<FILE_PATH>\* LuisGetRequest.java. It displays the same JSON that you saw earlier in the browser window.

    Console window displays JSON result from LUIS

LUIS keys

This quickstart uses the authoring key for convenience. The key is primarily for authoring the model but does allow a small number (1000) of endpoint requests. When you are ready for more endpoint requests in a test, stage or production environment, create a Language Understanding resource in the Azure portal and assign it to the LUIS app in the LUIS portal.

Clean up resources

Delete the Java file/project folder.

Next steps