Hands-On Chatbot Development with Alexa Skills and Amazon Lex
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External APIs

Every time you deal with anything outside of your code, there is a risk that it will error. This might be a third-party API, your own API, or simply a query to a database. You should always write these requests so that if the request returns an error, you fully deal with it. This means logging what the error was and where it took place and making sure that the chatbot still works when an error occurs.

Making sure that the chatbot still works when an error occurs is really important as no one wants to talk to a chatbot that just stops talking to you halfway through the conversation. To make sure this doesn't happen, you have three options: create error messages for every external call you make, let all errors flow down to a very low-level error handler that sends a generic We had an error message, or a combination of the two. The idea would be using custom messages for every error that could happen but as your chatbot becomes larger and more complicated, that can become very time-consuming.

An effective method for dealing with the errors is to create a low-level error handler that passes a generic error message unless a specific error message is provided. This gives you the flexibility to let the user know exactly what went wrong when it matters but saves you having to create lots of similar error messages:

try {
let result = AccessPeopleAPI();
if (result === null || typeof result !== 'number'){
throw 'I've failed to get the number of people';
}
return 'We have ' + result + ' people in the building';
} catch (error) {
console.log(error || 'The system has had an error');
return error || "Unfortunately I've had an error";
}