Create a bot with New Bot Framework Composer

As aid chatbots become more useful, correct, and predictable, it must come as no wonder that they may be growing in reputation. They can guide customers, endorse movements, act as interactive solutions to regularly asked questions, or even assist new hires connect with the employer's inner packages. So what do you want to expand it on Azure? In the next post, we will dive right into the new Microsoft Bot Framework Composer v2 and create a easy bot as we explore a number of the most popular Composer features and capability.

 

What is Bot Framework Composer?

Bot Framework Composer is an IDE built at the Microsoft Bot Framework SDK to provide a powerful but intuitive device for growing and deploying bots quicker. Its circulation-type constructor is easy to recognize and use, at the same time as the customization component isn't compromised - the source code, be it C # or JavaScript, is without delay editable and extendable.

Although Composer has been available considering the fact that late 2019, model 2.0 changed into launched in 2021 and brings a number of latest capabilities that would persuade even developers who may also have lacked the abilties of Composer in previous versions. To provide him any other threat.

Of path, it is nevertheless possible to create bots directly from the SDK independently of Composer.

 

Starting shot for our mission

After installing the utility we can use the template to begin our venture:

A clean bot template is pleasant for our functions, however deciding on a more complete template can save treasured time if our goal became to create a bot for production use. If you pass down the listing, each template can do the equal issue because the preceding one, only including functionality on the pinnacle - employer templates can even combine with Office 365 and Active Directory thru the Graph API.

Aside from the empty bot, all templates require a few additional Azure sources to be furnished, be it a Cognitive Language Service or QnA Maker (although loose allotments are to be had for demo and studies purposes).

After choosing a template, we additionally need to specify the runtime of our bot, either App Service or Azure Functions.

 

Bot building blocks

Before we begin growing our bot, we need to recognize the fundamentals of the additives that make up a bot.

 

The important access point for our bot is speak. There is constantly a main dialog, but we can create as many extra sub-dialogs as we need (or area all of our good judgment in the foremost conversation). Each conversation can be viewed as a field of impartial capabilities. With the increasing complexity of our bot, increasingly subordinate dialogues are delivered - with more complicated real bots, hundreds of dialogues aren't uncommon.

Each conversation field carries one or extra handlers known as triggers. A trigger has a circumstance and a listing of movements that need to be taken even as a particular circumstance is met. A cause can occur while a bot detects a user's rationale, an event of their dialog (lifecycle occasions), an action (which include consumer be part of, user enter), and many others. Of direction we will carry out distinct moves, perhaps we would like to name an outside API, set some internal properties / variables of the currently logged in person, ask additional questions or without a doubt solution in clear textual content.

 

Make our first interactions

It is perfectly reasonable to expect our bot to greet us while we first open the chat window. This is the (consumer joined) movement in our major dialog, so we're going to add a brand new cause to the primary conversation:

Composer then asks us to specify the type of this trigger and then the exact sort of motion we want to activate for.

From the start, a thread is created using a loop and an if declaration that incorporates some default values.

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