Quickstart: Agent interaction using the API

This quickstart shows you how to interact with an agent by using the REST API at the command line and by using the client libraries.

Before you begin

You should read the Dialogflow basics guide before attempting this quickstart. If you do not plan on using the API, you can skip this quickstart.

Set up your GCP project and authentication

Create an agent

Import the example file to your agent

Importing will add intents and entities to your agent. If any existing intents or entities have the same name as those in the imported file, they will be replaced.

To import the file, follow these steps:

  1. Download the RoomReservation.zip file
  2. Go to the Dialogflow Console
  3. Select your agent
  4. Click the settings settings button next to the agent name
  5. Select the Export and Import tab
  6. Select Import From Zip and import the zip file that you downloaded

Install the client library

If you are trying one of the client library samples below, install the library for your preferred language. For more information about these libraries, see Client libraries overview.


Install the Google.Cloud.Dialogflow.V2 package from NuGet. Add it to your project in the normal way (for example by right-clicking on the project in Visual Studio and choosing "Manage NuGet Packages..."). Ensure you enable pre-release packages (for example, in the Visual Studio NuGet user interface, check the "Include prerelease" box).

Alternatively, you can use the NuGet command line interface:

nuget install Google.Cloud.Dialogflow.V2 -PreRelease


go get cloud.google.com/go/dialogflow/apiv2


If you are using Maven, add the following to your pom.xml file:
If you are using Gradle, add the following to your dependencies:
compile 'com.google.cloud:google-cloud-dialogflow:0.105.0-alpha'
If you are using SBT, add the following to your dependencies:
libraryDependencies += "com.google.cloud" % "google-cloud-dialogflow" % "0.105.0-alpha"

If you're using IntelliJ or Eclipse, you can add client libraries to your project using the following IDE plugins:

The plugins provide additional functionality, such as key management for service accounts. Refer to each plugin's documentation for details.


npm install dialogflow


composer install google/cloud-dialogflow


pip install dialogflow


gem install google-cloud-dialogflow

Detect intent

A request to detect intent takes an end-user expression and returns the best matching intent, along with actions, parameters, contexts, and other important data.

The agent imported in steps above implements a simple room reservation system. To examine the intents, visit the Dialogflow Console and select your new agent.

The following samples show how to detect intent. For more information, see the Sessions reference.


To detect intent, call the detectIntent method on the Sessions resource.

Before using any of the request data below, make the following replacements:

  • project-id: your GCP project ID

HTTP method and URL:

POST https://dialogflow.googleapis.com/v2/projects/project-id/agent/sessions/123456789:detectIntent

Request JSON body:

  "query_input": {
    "text": {
      "text": "reserve a meeting room for six people",
      "language_code": "en-US"

To send your request, expand one of these options:

You should receive a JSON response similar to the following:

  "responseId": "50fcfcec-a315-4415-9075-5e0391e1f952",
  "queryResult": {
    "queryText": "reserve a meeting room for six people",
    "action": "room.reservation",
    "parameters": {
      "time": "",
      "date": "",
      "guests": 6,
      "duration": "",
      "location": ""
    "fulfillmentText": "I can help with that. Where would you like to reserve a room?",
    "fulfillmentMessages": [
        "text": {
          "text": [
            "I can help with that. Where would you like to reserve a room?"
        "platform": "FACEBOOK"
        "text": {
          "text": [
            "I can help with that. Where would you like to reserve a room?"
    "outputContexts": [
    "intent": {
      "name": "projects/project-id/agent/intents/e8f6a63e-73da-4a1a-8bfc-857183f71228",
      "displayName": "room.reservation"
    "intentDetectionConfidence": 1,
    "diagnosticInfo": {},
    "languageCode": "en-us"

Notice that the value of the queryResult.action field is room.reservation, the value of the queryResult.parameters.guests field is 6, and the value of the queryResult.fulfillmentMessages[0|1].text.text[0] field asks the user for more information.


        public static int DetectIntentFromTexts(string projectId,
                                                string sessionId,
                                                string[] texts,
                                                string languageCode = "en-US")
            var client = SessionsClient.Create();

            foreach (var text in texts)
                var response = client.DetectIntent(
                    session: new SessionName(projectId, sessionId),
                    queryInput: new QueryInput()
                        Text = new TextInput()
                            Text = text,
                            LanguageCode = languageCode

                var queryResult = response.QueryResult;

                Console.WriteLine($"Query text: {queryResult.QueryText}");
                if (queryResult.Intent != null)
                    Console.WriteLine($"Intent detected: {queryResult.Intent.DisplayName}");
                Console.WriteLine($"Intent confidence: {queryResult.IntentDetectionConfidence}");
                Console.WriteLine($"Fulfillment text: {queryResult.FulfillmentText}");

            return 0;


func DetectIntentText(projectID, sessionID, text, languageCode string) (string, error) {
	ctx := context.Background()

	sessionClient, err := dialogflow.NewSessionsClient(ctx)
	if err != nil {
		return "", err
	defer sessionClient.Close()

	if projectID == "" || sessionID == "" {
		return "", errors.New(fmt.Sprintf("Received empty project (%s) or session (%s)", projectID, sessionID))

	sessionPath := fmt.Sprintf("projects/%s/agent/sessions/%s", projectID, sessionID)
	textInput := dialogflowpb.TextInput{Text: text, LanguageCode: languageCode}
	queryTextInput := dialogflowpb.QueryInput_Text{Text: &textInput}
	queryInput := dialogflowpb.QueryInput{Input: &queryTextInput}
	request := dialogflowpb.DetectIntentRequest{Session: sessionPath, QueryInput: &queryInput}

	response, err := sessionClient.DetectIntent(ctx, &request)
	if err != nil {
		return "", err

	queryResult := response.GetQueryResult()
	fulfillmentText := queryResult.GetFulfillmentText()
	return fulfillmentText, nil


 * Returns the result of detect intent with texts as inputs.
 * Using the same `session_id` between requests allows continuation of the conversation.
 * @param projectId    Project/Agent Id.
 * @param texts        The text intents to be detected based on what a user says.
 * @param sessionId    Identifier of the DetectIntent session.
 * @param languageCode Language code of the query.
 * @return The QueryResult for each input text.
public static Map<String, QueryResult> detectIntentTexts(
    String projectId,
    List<String> texts,
    String sessionId,
    String languageCode) throws Exception {
  Map<String, QueryResult> queryResults = Maps.newHashMap();
  // Instantiates a client
  try (SessionsClient sessionsClient = SessionsClient.create()) {
    // Set the session name using the sessionId (UUID) and projectID (my-project-id)
    SessionName session = SessionName.of(projectId, sessionId);
    System.out.println("Session Path: " + session.toString());

    // Detect intents for each text input
    for (String text : texts) {
      // Set the text (hello) and language code (en-US) for the query
      Builder textInput = TextInput.newBuilder().setText(text).setLanguageCode(languageCode);

      // Build the query with the TextInput
      QueryInput queryInput = QueryInput.newBuilder().setText(textInput).build();

      // Performs the detect intent request
      DetectIntentResponse response = sessionsClient.detectIntent(session, queryInput);

      // Display the query result
      QueryResult queryResult = response.getQueryResult();

      System.out.format("Query Text: '%s'\n", queryResult.getQueryText());
      System.out.format("Detected Intent: %s (confidence: %f)\n",
          queryResult.getIntent().getDisplayName(), queryResult.getIntentDetectionConfidence());
      System.out.format("Fulfillment Text: '%s'\n", queryResult.getFulfillmentText());

      queryResults.put(text, queryResult);
  return queryResults;


// Imports the Dialogflow library
const dialogflow = require('dialogflow');

// Instantiates a session client
const sessionClient = new dialogflow.SessionsClient();

if (!queries || !queries.length) {

// The path to identify the agent that owns the created intent.
const sessionPath = sessionClient.sessionPath(projectId, sessionId);

let promise;

// Detects the intent of the queries.
for (const query of queries) {
  // The text query request.
  const request = {
    session: sessionPath,
    queryInput: {
      text: {
        text: query,
        languageCode: languageCode,

  if (!promise) {
    // First query.
    console.log(`Sending query "${query}"`);
    promise = sessionClient.detectIntent(request);
  } else {
    promise = promise.then(responses => {
      console.log('Detected intent');
      const response = responses[0];
      logQueryResult(sessionClient, response.queryResult);

      // Use output contexts as input contexts for the next query.
      response.queryResult.outputContexts.forEach(context => {
        // There is a bug in gRPC that the returned google.protobuf.Struct
        // value contains fields with value of null, which causes error
        // when encoding it back. Converting to JSON and back to proto
        // removes those values.
        context.parameters = struct.encode(struct.decode(context.parameters));
      request.queryParams = {
        contexts: response.queryResult.outputContexts,

      console.log(`Sending query "${query}"`);
      return sessionClient.detectIntent(request);

  .then(responses => {
    console.log('Detected intent');
    logQueryResult(sessionClient, responses[0].queryResult);
  .catch(err => {
    console.error('ERROR:', err);


namespace Google\Cloud\Samples\Dialogflow;

use Google\Cloud\Dialogflow\V2\SessionsClient;
use Google\Cloud\Dialogflow\V2\TextInput;
use Google\Cloud\Dialogflow\V2\QueryInput;

 * Returns the result of detect intent with texts as inputs.
 * Using the same `session_id` between requests allows continuation
 * of the conversation.
function detect_intent_texts($projectId, $texts, $sessionId, $languageCode = 'en-US')
    // new session
    $sessionsClient = new SessionsClient();
    $session = $sessionsClient->sessionName($projectId, $sessionId ?: uniqid());
    printf('Session path: %s' . PHP_EOL, $session);

    // query for each string in array
    foreach ($texts as $text) {
        // create text input
        $textInput = new TextInput();

        // create query input
        $queryInput = new QueryInput();

        // get response and relevant info
        $response = $sessionsClient->detectIntent($session, $queryInput);
        $queryResult = $response->getQueryResult();
        $queryText = $queryResult->getQueryText();
        $intent = $queryResult->getIntent();
        $displayName = $intent->getDisplayName();
        $confidence = $queryResult->getIntentDetectionConfidence();
        $fulfilmentText = $queryResult->getFulfillmentText();

        // output relevant info
        print(str_repeat("=", 20) . PHP_EOL);
        printf('Query text: %s' . PHP_EOL, $queryText);
        printf('Detected intent: %s (confidence: %f)' . PHP_EOL, $displayName,
        printf('Fulfilment text: %s' . PHP_EOL, $fulfilmentText);



def detect_intent_texts(project_id, session_id, texts, language_code):
    """Returns the result of detect intent with texts as inputs.

    Using the same `session_id` between requests allows continuation
    of the conversation."""
    import dialogflow_v2 as dialogflow
    session_client = dialogflow.SessionsClient()

    session = session_client.session_path(project_id, session_id)
    print('Session path: {}\n'.format(session))

    for text in texts:
        text_input = dialogflow.types.TextInput(
            text=text, language_code=language_code)

        query_input = dialogflow.types.QueryInput(text=text_input)

        response = session_client.detect_intent(
            session=session, query_input=query_input)

        print('=' * 20)
        print('Query text: {}'.format(response.query_result.query_text))
        print('Detected intent: {} (confidence: {})\n'.format(
        print('Fulfillment text: {}\n'.format(


# project_id = "Your Google Cloud project ID"
# session_id = "mysession"
# texts = ["hello", "book a meeting room"]
# language_code = "en-US"

require "google/cloud/dialogflow"

session_client = Google::Cloud::Dialogflow::Sessions.new
session = session_client.class.session_path project_id, session_id
puts "Session path: #{session}"

texts.each do |text|
  query_input = { text: { text: text, language_code: language_code } }
  response = session_client.detect_intent session, query_input
  query_result = response.query_result

  puts "Query text:        #{query_result.query_text}"
  puts "Intent detected:   #{query_result.intent.display_name}"
  puts "Intent confidence: #{query_result.intent_detection_confidence}"
  puts "Fulfillment text:  #{query_result.fulfillment_text}\n"

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