This tutorial will explain how to use the Sendbird API for Bots to receive a message from any channel, send it to Dialogflow, and respond.
By the end of this tutorial, you will understand how to build the entire flow in the architecture diagram above. This flow consists of the following steps:
For this tutorial, you will need:
Sendbird and Dialogflow are mandatory, but you can replace NodeJS with any other server platform/language you like. In this tutorial, we have used the words ‘chatbot’ and ‘bot’ interchangeably – remember that they mean the same thing.
This tutorial assumes familiarity with NodeJS since this is what we use in our example. Remember that a good understanding of chatbot building will help you make the best use of this tutorial.
With this in mind, let’s get started.
First, we need to configure Dialogflow. We will start from scratch and detail each of the steps to go through, including how to:
Go to https://dialogflow.cloud.google.com/ and log in with your Google account.
You should see the following screen once you sign in:
An agent in Dialogflow will receive the information from the Sendbird bot. The agent will process this information and send a response back to the users in the chat. This can be complex, but for this tutorial, we will use the basic default information.
To create an agent:
Now, get your Google credentials for NodeJS. Click the gear icon located on the top left side of the screen. You will see the following:
For this project, you see agent-9uyq. Click on it, and a new tab will open. You are now in the Google Cloud console.
Click on the hamburger menu at the top left. Hover over APIs & Services, and then click on Credentials.
To do this, click on the + CREATE CREDENTIALS button at the top of the screen.
Enter any value for the Service Account Name, Service Account ID, and Service Account Description. Then click the CREATE button.
Select Owner, as displayed in the following screenshot:
Click CONTINUE and then click on DONE.
Once you click on DONE, you will see your Service Account at the bottom.
Click on this Service Account. You will see a new screen:
Click on the Email field at the bottom to go to the next screen and create a new key.
Select JSON and click on CREATE. You will be prompted to save a JSON file. This JSON file contains the information you can use later for creating a Google Session ID. We won’t use this in our NodeJS project, but knowing this could be helpful in the future.
Finally, click on the blue SAVE button to confirm all changes.
Google will ask you to download a JSON file. This file has a structure like the following:
Run the following command for Google to identify your project:
Once you have logged in with your Sendbird account, go to your Sendbird dashboard and ensure your chatbot feature is enabled.
Note: This screenshot is from a Free Trial dashboard.
To talk to your chat clients, we need to create one or more bots.
Sendbird provides a REST API for creating and managing bots. Among other tasks, with the Sendbird bot interface, you can:
Make sure you are familiar with our Bot API by reading the complete documentation here.
Using this server application, we will:
Clone or download this sample code from our repository.
To show a preview of this link, connect your Github account.
Note that in this example, we are using Google Cloud Dialogflow version 3.3.0.
From the code, we call:
const dialogflow = require('@google-cloud/dialogflow').v2beta1;
Pay attention because this changes constantly; Google is working continuously on this, and it may change for you.
From your Sendbird dashboard, get your information and replace the dashes.
You will need:
This is a critical step to get your Google Session ID. You need this ID in the sample source code.
Open your terminal and run the following command:
gcloud auth application-default login
To do this, you need to download and install gcloud from here:
Note: Take your time. This process from Google is very tricky.
Once you run that command, a browser window will open. You need to authorize your Google account and allow the use of this service. After that, Google will create a new JSON file for you. If you don’t have this information correct, you will receive an Error 400.
Copy the value from client_secret and populate GOOGLE_SESSION_ID below in the NodeJS code.
Note: Grab your project ID from Dialogflow (taken from the Dialogflow configuration, section 1.2 2.b.)
Go to your Sendbird dashboard and access any of your Group Channels. We will create a new one here.
As you can see, my new channel is called bot-channel, and its URL is bot-channel-url.
Click the bot-channel-url to enter this channel:
The next step is to add this to create a bot. We will send a POST request to our Bot Sync Server.
Note: For all bot operations, we use the Sendbird Bot API. Check out how to create a new bot here:
Go back to the code and install all libraries:
Once all libraries are downloaded, run your Bot Sync Server:
npm run start
Once our server is running, we will send a POST request to create a bot called bot1.
You can use Postman to send POST requests. The most critical parameter is called bot_callback_url. It refers to the callback Sendbird will invoke when a message is sent to the Group Channel. This callback URL must be accessed from the Internet.
To accomplish this task, you can upload this NodeJS to any server like AWS, Heroku, Github, or any other service you are familiar with. For this example, I will use NGROK. NGROK creates https://b1b85fc97d18.ngrok.io, which points to my local server http://localhost:5500
The next step is to add this bot to your new Group Channel. To add a bot to a Group Channel, we use the Sendbird API. Check out our documentation here.
Now, send a GET request to our Bot Sync Server:
If all went well, you should have the following response:
And the following message in your Sendbird dashboard:
It’s time to test our flow! Send a simple “Hello” message from your dashboard. This message will trigger the webhook running on your local computer with NodeJs:
Replace b1b85fc97d18 with the ID you receive from your NGROK application.
Our bot will grab this message and send it to Dialogflow. Dialogflow will respond.
Our bot will receive this response and send it back to the chat channel. The response will be displayed as a new message in the dashboard.
In-app chat is engaging for users, and it can be even more efficient with bots! The integration of the Sendbird API with 3rd-party services leads to robust implementations. In this tutorial, we learned how to automate Sendbird chat responses with Dialogflow. Note that it will work on any device, and you can choose the programming language you prefer – from Android to React, to Angular, to .Net, etc. All you need to do is send HTTP requests to your server. Check out some other examples of enabling chat messaging for Salesforce support agents and connecting an email service to chat with Mailgun. The possibilities are endless!
If you want to see a history of messages sent to Dialogflow, Google has a dedicated section that you can access from the Dialogflow console:
Congratulations for making it to the end of this tutorial, and happy human-to-machine connection building! 🤖
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