Nodejs Dialogflow

This repository is deprecated. All of its content and history has been moved to googleapis/google-cloud-node.
Alternatives To Nodejs Dialogflow
Select To Compare


Readme

THIS REPOSITORY IS DEPRECATED. ALL OF ITS CONTENT AND HISTORY HAS BEEN MOVED TO GOOGLE-CLOUD-NODE

Google Cloud Platform logo

Dialogflow API: Node.js Client

release level npm version

IMPORTANT NOTE

Version 2.0.0 renames dialogflow to @google-cloud/dialogflow on npm, along with introducing TypeScript types.

A comprehensive list of changes in each version may be found in the CHANGELOG.

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

Quickstart

Before you begin

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Dialogflow API API.
  4. Set up authentication with a service account so you can access the API from your local workstation.

Installing the client library

npm install @google-cloud/dialogflow

Using the client library


const dialogflow = require('@google-cloud/dialogflow');
const uuid = require('uuid');

/**
 * Send a query to the dialogflow agent, and return the query result.
 * @param {string} projectId The project to be used
 */
async function runSample(projectId = 'your-project-id') {
  // A unique identifier for the given session
  const sessionId = uuid.v4();

  // Create a new session
  const sessionClient = new dialogflow.SessionsClient();
  const sessionPath = sessionClient.projectAgentSessionPath(
    projectId,
    sessionId
  );

  // The text query request.
  const request = {
    session: sessionPath,
    queryInput: {
      text: {
        // The query to send to the dialogflow agent
        text: 'hello',
        // The language used by the client (en-US)
        languageCode: 'en-US',
      },
    },
  };

  // Send request and log result
  const responses = await sessionClient.detectIntent(request);
  console.log('Detected intent');
  const result = responses[0].queryResult;
  console.log(`  Query: ${result.queryText}`);
  console.log(`  Response: ${result.fulfillmentText}`);
  if (result.intent) {
    console.log(`  Intent: ${result.intent.displayName}`);
  } else {
    console.log('  No intent matched.');
  }
}

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

Sample Source Code Try it
Create-intent source code Open in Cloud Shell
Detect-intent-TTS-response.v2 source code Open in Cloud Shell
Detect-intent-sentiment.v2 source code Open in Cloud Shell
Detect source code Open in Cloud Shell
Detect.v2beta1 source code Open in Cloud Shell
List-intents source code Open in Cloud Shell
List Training Phrases source code Open in Cloud Shell
Quickstart source code Open in Cloud Shell
Resource source code Open in Cloud Shell
Set-agent source code Open in Cloud Shell
Update-intent source code Open in Cloud Shell
Webhook source code Open in Cloud Shell

The Dialogflow API Node.js Client API Reference documentation also contains samples.

Supported Node.js Versions

Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js. If you are using an end-of-life version of Node.js, we recommend that you update as soon as possible to an actively supported LTS version.

Google's client libraries support legacy versions of Node.js runtimes on a best-efforts basis with the following warnings:

  • Legacy versions are not tested in continuous integration.
  • Some security patches and features cannot be backported.
  • Dependencies cannot be kept up-to-date.

Client libraries targeting some end-of-life versions of Node.js are available, and can be installed through npm dist-tags. The dist-tags follow the naming convention legacy-(version). For example, npm install @google-cloud/dialogflow@legacy-8 installs client libraries for versions compatible with Node.js 8.

Versioning

This library follows Semantic Versioning.

This library is considered to be stable. The code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against stable libraries are addressed with the highest priority.

More Information: Google Cloud Platform Launch Stages

Contributing

Contributions welcome! See the Contributing Guide.

Please note that this README.md, the samples/README.md, and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template. To edit one of these files, make an edit to its templates in directory.

License

Apache Version 2.0

See LICENSE

Popular Machine Learning Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Machine Learning