Building blocks for building bots
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This document discusses Microsoft Bot Framework and how it can be used to build conversational bots. It provides an overview of the key Bot Framework services including the Bot Connector for connecting bots to various channels, the Bot Builder SDKs for developing bot logic in Node.js or C#, and the Bot Directory for publishing bots. Examples of bots built with Bot Framework are also referenced.
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Building blocks for building bots
- 1. Rita Zhang Open Source Engineer @ritazzhang Building Blocks for Building Bot Bhargav Nookala Open Source Engineer @bhargav
- 3. Bots are… • Replacing humans • We do not need a bot for everything • A catch all • Replacing existing solutions
- 4. Bots are just another form of user interface
- 9. Your Bot Framework Bot Bot Connector Bot DirectoryBot Builder SDKs Connect your bot(s) to text/sms, Office 365 mail, Skype, Slack, and other services. Build great dialogs within your Node.js or C# bot Try, use, and add published bots to the world’s top conversation experiences • Register, connect, publish and manage your bot through the bot dashboard • Message routing • Automatic translation to 30+ languages • User and state management • Embeddable web chat control • Debugging tools • Open source SDK on Github • From simple built-in prompts and command dialogs to simple to use yet sophisticated ‘FormFlow’ dialogs • Libraries, samples and tools to make a great conversationalist • Chat emulator • Leverage related services available in Cognitive Services • Public directory of bots registered and approved with Bot Framework • Users can try your bot from the directory via the web chat control • Users can discover and add your bot to the channels on which it is configured
- 10. Your conversation logic Logic Web Service Your Bot LUIS
- 12. Interact naturally wherever your users are talking
- 17. Demos
- 18. Resources • Face Detection bot - https://github.com/ritazh/facedetect-bot • BotBuilder SDK - https://github.com/Microsoft/BotBuilder • Cognitive Services - https://www.microsoft.com/cognitive- services/ • Speech Driven app - https://github.com/ritazh/speech-to-text- demo • Auth bot - https://github.com/catalystcode/node-authbot • Payment bot - https://github.com/bnookala/node-paymentbot
- 19. Rita Zhang Open Source Engineer @ritazzhang Questions Bhargav Nookala Open Source Engineer @bhargav
Editor's Notes
- Introduction: oss engr, sf, working closely with the product team to provide a better framework and services for developers like yourself, building bots with startups and enterprises, share my experience
- Agenda: what are bots, when to build a bot, many options, but here are some tools and services from msft you can use to build your own bots, last lets look at how we developed a few bot examples, including bots that leverages payment gateways and cognitive services
- Agenda: what are bots, when to build a bot, what are some of the available tools you can use to build your own bots Bots have been around: clippy, IRC bots, MSN, ICQ It’s just a new way to engage users; it used to be flat, e.g. forms to get information from users. but now, it’s more interactive and more customized and more natural ways, like speaking, listening, looking into a camera Slackbot?
- Bot framework aims to unify existing bot development. Write once, connect to many things
- Bot Framework provides everything you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services. Bot Framework consists of three main components: Bot Connector, Bot Builder, and Bot Directory
- Bot framework aims to unify existing bot development. Write once, connect to many things
- FaceDetect bot – face recognition Huma.ai – LUIS, Bing Speech, CRIS Authbot – Azure AD authentication and get latest email Paypalbot – payment Singapore botfest, many agencies Skype and text message The defense agency created a bot that helps National Service enlistees explore various phases of their National Service career connects new enlistees with other members of their team based on common interests helps the enlistee to re-connect with their former teammates (via face detection) after leaving their 2-year training period
- End slide
- LUIS helps you understand what your users are saying (e.g. “turn on the lights,” “news about flight delays”) Determines intent and detects entities Seamless integration with Speech Recognition LUIS learns over time Uses pre-built, world class models from Bing and Cortana Models work across devices (phone, tablet or other Internet connected device) For media, this might work like this: “read me the headlines” Intent: TextToSpeech Content: NewsHeadlines “play last night’s Tonight Show” Intent: PlayEpisode Content: TonightShow Date: T-1Day “pause for 5 minutes” Intent: PauseDevice Device: MediaPlayer DateTime.duration: “5M”