Microsoft bot framework is a powerful tool for developers to create chatbots. However, there are some limitations to the Microsoft bot framework.
Continuously export your Azure Application Insights logs to your Azure Blob Storage account. Application Insights have low retention for keeping your logs.
Connect an Azure Bot to Slack Channel. There are two ways to achieve this. The one is using the Azure portal and another one using the Slack adaptor.
Deploy a basic .NET C# core bot created using Bot Framework SDK to Azure. We will use Visual Studio for deploying the bot to Azure. This is one way of deployment.
The Google adapter supports connecting to Actions on Google (the conversations webhook) or via DialogFlow. It is recommended to use Actions on Google if possible.
Connect Microsoft Bot Framework Azure Bot to Google Assistant Action as a channel. We will use Actions SDK and DialogFlow Adapter for Bot Builder v4 .NET SDK.
If $when condition is true, then only Adaptive Card JSON element will be shown to the user else it will not be shown. Use $when property to drop an element.
Web Automation Testing of your Azure Bot connected to Webchat using Directline channel using Selenium Java and chrome Web Driver in Eclipse IDE.
Deploy a basic python bot created using Bot Framework SDK to Azure. We will deploy an Echo that we created in our last blog using Python.