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Building Bots with Microsoft Bot Framework

You're reading from   Building Bots with Microsoft Bot Framework Creating intelligent conversational interfaces

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781786463104
Length 424 pages
Edition 1st Edition
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Author (1):
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Kishore Gaddam Kishore Gaddam
Author Profile Icon Kishore Gaddam
Kishore Gaddam
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Table of Contents (10) Chapters Close

Preface 1. Setting up Microsoft Bot Framework Dev Environment FREE CHAPTER 2. Developing Your First Bot Using the Connector and Builder SDK 3. Developing WeatherBot Using Dialogs and LUIS 4. Natural Speech and Intent Processing Bot Using Microsoft Cognitive Services 5. Developing Bots Using LUIS Prompt Dialogs with State and Nearby Bot Using Custom APIs 6. Developing an IVR Bot for a Bank Using Advanced Microsoft Bot Framework Technologies 7. Intelligent Bots with Microsoft Bot Framework and Service Fabric 8. Developing Intelligent Facial Expression Identification Bot for IoT Using Azure and Power BI 9. Publishing a Bot to Skype, Slack, Facebook, and the GroupMe Channel

Bot state service

The key to good bot design is to do the following:

  • Make the web service stateless so that it can be scaled
  • Make it track the context of a conversation

Since all bots have these requirements, the Bot Framework has a service for storing bot state. This lets your bot track things such as what was the last question I asked them?

In our case, we want to save the contextId of the LUIS to exchange the missed information to the LUIS app from our bot.

To do that, first we need to create BotStateClient.

Creating a state client

The default state client is stored in a central service. For some channel IDs, you may want to use a state API hosted in the channel itself (for example, with the emulator channel) so that the state can be stored in a compliant store...

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