![]() The Bot Framework runtime will then compile this JSON and then give you the option to Test in Emulator:Īfter clicking this, the Bot Framework Emulator tool is loaded, and you can interact with the chatbot! We can test this out by clicking Start Bot. You’ll see this chatbot is simple and sends back the users input: You’ll see something like this (I dig the ANSI GFX, they remind me of the days I used to run a BBS!):Īfter the TypeScript code has been compiled, you can typeįinally, you can browse to the Composer Homepage by pointing your browser to Creating a Chatbot with Composerįor quickness, we’ll use one of the predefined examples that Composer provides out of the box: The Echo Bot.Īfter this is selected, the designer canvas is displayed. Building and updating the packages can also take a while!Īfter everything has been downloaded and installed, you can run Composer by typing in the following to the command prompt that Composer is installed in: Warning: You may need to install other things such as Yarn and Node. Installationįirst, you need to download and install Composer from GitHub (total installation time 10-15 minutes). ComposerĬomposer has a few components here we’ll see how to install it and take a high-level look at the underlying JSON files that are created as you create a chatbot. Let’s look at a walkthrough of the integration from start to finish. These are just some of the initial benefits. opens possibilities for letting dialogue maintenance be done by power usersĪ potential workflow for the business could be:.you can decouple dialogue development from other chatbot development activities.less technical users can now be involved in the chatbot development lifecycle.The main benefits I see and have experienced to date are: This paves the way for near code-free changes if you need to update your conversational logic based on new requirements. ![]() Or in other words, y ou can write code that hydrates conversations dynamically at run-time from JSON. It’s core to chatbot development and if your chatbot has multiple branches of logic, it can take a little time to build these.īy leveraging Bot Framework Composer, coupled with Adaptive Dialogues, you can implement code that bridges the output of Composer Chatbots and Dialogues (JSON) with the power of the Bot Framework SDK Adaptive Dialogue technology. Often you need to crank these out in a language of your choice which involves building code and stitching the dialogues together. One thing that’s been consistent is that you need to create dialogues that model the conversational logic you want your bot to handle. I’ve been using the Bot Framework since V3. This lets you create hybrid solutions and gives you further options as to how you want to develop conversational logic. You don’t have to opt for one or the other. Tip: Another point worth mentioning is that “regular” dialogues written in code and Composer dialogues can co-exist in the same chatbot. The code featured in this blog post is on my GitHub repo. See a Composer Generated Dialogue and conversation in Action. ![]()
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