Actions on Google With Google Cloud Functions
When building Google Assistant apps (actions) with Dialogflow, you likely will have to write some logics. The most common way in developing this logics layer is by using a webhook and a Cloud Function. The webhook requires a URL. So technically you can use any web server and program language you like, Cloud Functions are just easy.
It’s serverless, which means you don’t need to worry on setting up and maintaining an environment, and it scales out of the box. Dialogflow integrates with Firebase Cloud Functions. There’s an easy inline editor you can use, which creates the Cloud Function within Firebase. (Which under the hood uses the infrastructure of Google Cloud.) For Dialogflow Enterprise customers (the Dialogflow version which is compliant and better for large organizations), Firebase Functions don’t make much sense. (And in fact, are not been created within your current GCP project). You rather use the Google Cloud Functions. Both use functions can make use of HTTP triggers. The way of invoking is different:
GCP:
exports.helloWorld = function helloWorld (request, response) { |
Firebase:
exports.helloWorld = functions.https.onRequest((request, response) => { |
The Actions on Google Node JS library (for creating Dialogflow agents with Google Assistant), explains how you can integrate the library within a Firebase Cloud function. Unfortunately, it doesn’t explain to you how to integrate it with a GCP Cloud Function. So here’s how you would do this:
As you can see, you can get the request and response headers from the conv
object, in the conversation handler function. NOTE: This example was written for the 2.1.1 version of the Actions on Google NPM package: package.json
{ |