sophiehn / botbuilder-tools

Tools for developers building bots with Microsoft Bot Framework

Bot Builder tools (PREVIEW)

Bot Builder tools are designed to cover end-to-end bot development workflow and include the following tools -

	Tool	Description
	Chatdown	Prototype mock conversations in markdown and convert the markdown to transcripts you can load and view in the new V4 Bot Framework Emulator
	MSBot	Create and manage connected services in your bot configuration file
	LUDown	Build LUIS language understanding models using markdown files
	LUIS	Create and manage your LUIS.ai applications
	QnAMaker	Create and manage QnAMaker.ai Knowledge Bases.
	Dispatch	Build language models allowing you to dispatch between disparate components (such as QnA, LUIS and custom code)
	LUISGen	Autogenerate backing C#/Typescript classesfor your LUIS intents and entities.

To install all CLI tools:

npm install -g chatdown msbot ludown luis-apis qnamaker botdispatch luisgen

• Please see here for an overview of the end-to-end bot development workflow.
• Please see here for an example end to end bot development workflow using Bot Builder tools.

Bot Builder tools are designed to work with

• Bot Builder V3 SDK
• Bot Builder V4 SDK PREVIEW - dotnet, JS, Java and Python

Before writing code, review the bot design guidelines for best practices and identify the needs for your bot: will a basic bot be enough or whether it should have more sophisticated capabilities, such as speech, language understanding, QnA, or the ability to extract knowledge from different sources and provide intelligent answers. This is also the phase where you might want to create mockup of conversations between the user and the bot for the specific scenarios your bot will support. Chatdown is the tool built for this purpose. You can author .chat files that mockup the conversations and then use chatdown CLI to convert them into rich transcripts.

As you build your bot, you may also need to integrate AI services like LUIS.ai for language understanding, QnAMaker.ai for your bot to respond to simple questions in a Q&A format, and more. You can bootstrap language understanding for your bot using LUDown.

The tools are designed to work together. You can then use LUIS CLI and / or the QnAMaker CLI tools to create your LUIS.ai models and QnAMaker knowledge base.

As your bot grows in sophistication, Dispatch CLI can help create and evaluate LUIS models used to dispatch intent across multiple bot modules such as LUIS models, QnA knowledge bases and others (added to dispatch as a file type).

Throughout the Build phase, you can use MSBot CLI to create and keep your bot configuration file updated with all relevant service references.

To test and refine your bot, you can use the new V4 Bot Framework Emulator. The Bot Framework Emulator is a cross-platform electron application that enables you to test and debug your bots on local machine or in the cloud. The new emulator includes features like faster load times, an improved dynamic layout model, support for multiple bot configurations, simple bot components management, and the ability to inspect responses from connected services such as LUIS and QnA. The Bot Framework Emulator also deep links to different parts used by the bot. The Bot Framework Emulator new functionality enables you to debug bots based on transcript logs and to view previous chat in presentation mode. The Bot Framework Emulator is available as open source on Github.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Reporting Security Issues

Security issues and bugs should be reported privately, via email, to the Microsoft Security Response Center (MSRC) at [email protected]. You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Further information, including the MSRC PGP key, can be found in the Security TechCenter.

License

Copyright (c) Microsoft Corporation. All rights reserved.

Licensed under the MIT License.