Bot Framework v4 multi-turn prompt bot sample
This sample shows how to use the prompt classes included in botbuilder-dialogs
.
This bot will ask for the user's name and age, then store the responses. It demonstrates a multi-turn dialog flow using a text prompt, a number prompt, and state accessors to store and retrieve values.
- [Node.js][4] version 8.5 or higher
# determine node version
node --version
- Clone the repository
git clone https://github.com/microsoft/botbuilder-samples.git
- In a terminal, navigate to
samples/javascript_nodejs/05.multi-turn-prompt
cd samples/javascript_nodejs/05.multi-turn-prompt
- Install modules
npm install
- Start the bot
npm start
Microsoft Bot Framework Emulator is a desktop application that allows bot developers to test and debug their bots on localhost or running remotely through a tunnel.
- Install the Bot Framework emulator from here
- Launch Bot Framework Emulator
- File -> Open Bot Configuration and navigate to
samples/javascript_nodejs/05.multi-turn-prompt
folder - Select
multi-turn-prompt.bot
file
You can use the MSBot Bot Builder CLI tool to clone and configure any services this sample depends on. In order to install this and other tools, you can read Installing CLI Tools.
To clone this bot, run
msbot clone services -f deploymentScripts/msbotClone -n <BOT-NAME> -l <Azure-location> --subscriptionId <Azure-subscription-id> --appId <YOUR APP ID> --appSecret <YOUR APP SECRET PASSWORD>
NOTE: You can obtain your appId
and appSecret
at the Microsoft's Application Registration Portal
A conversation between a bot and a user often involves asking (prompting) the user for information, parsing the user's response, and then acting on that information. This sample demonstrates how to prompt users for information using the different prompt types included in the botbuilder-dialogs library and supported by the SDK.
The botbuilder-dialogs
library includes a variety of pre-built prompt classes, including text, number, and datetime types. This
sample demonstrates using a text prompt to collect the user's name, then using a number prompt to collect an age.