About Azure Bot Service
Azure Bot Service and Bot Framework provide tools to build, test, deploy, and manage intelligent bots all in one place. Through the use of modular and extensible framework provided by the SDK, tools, templates, and AI services developers can create bots that use speech, understand natural language, handle questions and answers, and more.
What is a bot?
Bots provide an experience that feels less like using a computer and more like dealing with a person - or at least an intelligent robot. They can be used to shift simple, repetitive tasks, such as taking a dinner reservation or gathering profile information, on to automated systems that may no longer require direct human intervention. Users converse with a bot using text, interactive cards, and speech. A bot interaction can be a quick question and answer, or it can be a sophisticated conversation that intelligently provides access to services.
Bots are a lot like modern web applications, living on the internet and use APIs to send and receive messages. What's in a bot varies widely depending on what kind of bot it is. Modern bot software relies on a stack of technology and tools to deliver increasingly complex experiences on a wide variety of platforms. However, a simple bot could just receive a message and echo it back to the user with very little code involved.
Bots can do the same things other types of software can do - read and write files, use databases and APIs, and do the regular computational tasks. What makes bots unique is their use of mechanisms generally reserved for human-to-human communication.
Azure Bot Service and Bot Framework offer:
- Bot Framework SDK for developing bots
- Bot Framework Tools to cover end-to-end bot development workflow
- Bot Framework Service (BFS) to send and receive messages and events between bots and channels
- Bot deployment and channel configuration in Azure
Additionally, bots may use other Azure services, such as:
- Azure Cognitive Services to build intelligent applications
- Azure Storage for cloud storage solution
Building a bot
As with any type of software, having a thorough understanding of the goals, processes and user needs is important to the process of creating a successful bot. Before writing code, review the bot design guidelines for best practices and identify the needs for your bot. You can create a simple bot or include more sophisticated capabilities such as speech, natural language understanding,and question answering.
As part of the Azure Bot Service and Bot Framework, we offer additional components you can use to extend your bot's functionality
|Add natural language processing||Enable your bot to understand natural language, understand spelling errors, use speech, and recognize the user's intent||How to use LUIS|
|Answer questions||Add a knowledge base to answer questions users ask in a more natural, conversational way||How to use QnA Maker|
|Manage multiple models||If using more than one model, such as for LUIS and QnA Maker, intelligently determine when to use which one during your bot's conversation||Dispatch tool|
|Add cards and buttons||Enhance the user experience with media other than text, such as graphics, menus, and cards||How to add cards|
The table above is not a comprehensive list. Explore the articles on the left, starting with sending messages, for more bot functionality.
Additionally, we provide command line tools to help you to create, manage, and test bot assets. These tools can configure LUIS apps, build a QnA knowledge base, build models to dispatch between components, mock a conversation, and more. You can find more details in the command line tools readme.
You also have access to a variety of samples that showcase many of the capabilities available through the SDK. These are great for developers looking for a more feature rich starting point.
Bots are complex apps, with a lot of different parts working together. Like any other complex app, this can lead to some interesting bugs or cause your bot to behave differently than expected. Before publishing, test your bot. We provide several ways to test bots before they are released for use:
Test your bot locally with the emulator. The Bot Framework Emulator is a stand-alone app that not only provides a chat interface, but also debugging and interrogation tools to help understand how and why your bot does what it does. The emulator can be run locally alongside your in-development bot application.
Test your bot on the web. Once configured through the Azure portal your bot can also be reached through a web chat interface. The web chat interface is a great way to grant access to your bot to testers and other people who do not have direct access to the bot's running code.
Unit Test your bot with the July update of Bot Framework SDK.
When you are ready for your bot to be available on the web, publish your bot to Azure or to your own web service or data center. Having an address on the public internet is the first step to your bot coming to life on your site, or inside chat channels.
Connect your bot to channels such as Facebook, Messenger, Kik, Skype, Slack, Microsoft Teams, Telegram, text/SMS, Twilio, Cortana, and Skype. Bot Framework does most of the work necessary to send and receive messages from all of these different platforms - your bot application receives a unified, normalized stream of messages regardless of the number and type of channels it is connected to. For information on adding channels, see channels topic.
Use the data collected in Azure portal to identify opportunities to improve the capabilities and performance of your bot. You can get service-level and instrumentation data like traffic, latency, and integrations. Analytics also provides conversation-level reporting on user, message, and channel data. For more information, see how to gather analytics.
Check out these case studies of bots or click on the link below to create a bot.