Updates readme for 4.6 release

README.md

@@ -29,7 +29,7 @@ The Bot Framework SDK v4 is an [open source SDK][1a] that enable developers to m
 
 |   | C#  | JS  | Python |  Java | 
 |---|:---:|:---:|:------:|:-----:|
-|Stable Release |[4.4.3][1] | [4.4.0][2] | [4.4.0b1 (preview)][3] | [4.0.0a6 (preview)][3a]|
+|Stable Release |[4.5.0][1] | [4.5.0][2] | [4.5.0b2 (preview)][3] | [4.0.0a6 (preview)][3a]|
 |Docs | [docs][5] |[docs][5] |  | |
 |Samples |[.NET Core][6], [WebAPI][10] |[Node.js][7] , [TypeScript][8], [es6][9]  | [Python][111] | | 
 
@@ -48,8 +48,8 @@ The Bot Framework SDK v4 is an [open source SDK][1a] that enable developers to m
 [111]:https://github.com/Microsoft/botbuilder-python/tree/master/samples
 
 <a name="V4-whats-new"></a>
-### Bot Framework SDK v4 - (New! - version 4.5 preview)
-The Bot Framework SDK v4 - Version 4.5 new capabilites in preview. 
+### Bot Framework SDK v4 - (New! - version 4.6 preview)
+The Bot Framework SDK v4 - Version 4.6 new capabilites in preview. 
 
 - [Adaptive Dialog][47] | [docs][48] | [C# samples][49] :: Adaptive Dialogs enable developers to build conversations that can be dynamically changed as the conversation progresses.  Traditionally developers have mapped out the entire flow of a conversation up front, which limits the flexibility of the conversation.  Adaptive dialogs allow them to be more flexible, to respond to changes in context and insert new steps or entire sub-dialogs into the conversation as it progresses. Additionally as with other SDK V4 concepts, we have defined adaptive dialogs such that they can be defined via [declarative][50] that are interpreted at runtime; which allows us to have tooling on top of this and integrate with services. 
 
@@ -104,13 +104,14 @@ Azure Bot Service enables you to host intelligent, enterprise-grade bots with co
 
 <a name="ABS-whats-new"></a>
 
-* **New! Direct Line Speech Channel**: We are bringing together the Bot Framework and Microsoft's Speech Services to provide a channel that enables streamed speech and text bi-directionally from the client to the bot application.  To sign up, add the 'Direct Line Speech' channel to your Azure Bot Service.
+* **Direct Line Speech Channel**: We are bringing together the Bot Framework and Microsoft's Speech Services to provide a channel that enables streamed speech and text bi-directionally from the client to the bot application.  To sign up, add the 'Direct Line Speech' channel to your Azure Bot Service.
 
 [27]:https://azure.microsoft.com/en-us/services/bot-service/
 [28]:https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0
 [29]:https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0
 [30]:https://github.com/Microsoft/BotFramework-DirectLineJS/blob/master/README.md
 
+* **Better isolation for your Bot - Direct Line App Service Extension** : The Direct Line App Service Extension can be deployed as part of a VNET, allowing IT administrators to have more control over conversation traffic and improved latency in conversations due to reduction in the number of hops. Get started with Direct Line App Service Extension here. A VNET lets you create your own private space in Azure and is crucial to your cloud network as it offers isolation, segmentation, and other key benefits. 
 
 ## Bot Framework Emulator
 The [Bot Framework Emulator][60] is a  cross-platform desktop application that allows bot developers to test and debug bots built using the Bot Framework SDK. You can use the Bot Framework Emulator to test bots running locally on your machine or to connect to bots running remotely.
@@ -167,9 +168,9 @@ A machine learning-based service to build natural language experiences. Quickly
 
 <a name="LUIS-whats-new"></a>
 
-- **New! Roles, External Entities and Dynamic Entities** :: LUIS has added several features that let developers extract more detailed information from text, so users can now build more intelligent solutions with less effort. LUIS also extended roles to all entity types, which allows the same entities to be classified with different subtypes based on context. Developers now have more granular control of what they can do with LUIS, including being able to identify and update models at runtime through dynamic lists and external entities. Dynamic lists are used to append to list entities at prediction time, permitting user-specific information to get matched exactly. Separate supplementary entity extractors are run with external entities, and that information can be appended to LUIS as strong signals for other models.
+- **Roles, External Entities and Dynamic Entities** :: LUIS has added several features that let developers extract more detailed information from text, so users can now build more intelligent solutions with less effort. LUIS also extended roles to all entity types, which allows the same entities to be classified with different subtypes based on context. Developers now have more granular control of what they can do with LUIS, including being able to identify and update models at runtime through dynamic lists and external entities. Dynamic lists are used to append to list entities at prediction time, permitting user-specific information to get matched exactly. Separate supplementary entity extractors are run with external entities, and that information can be appended to LUIS as strong signals for other models.
 
-- **New! Analytics dashboard** :: LUIS is releasing a more detailed, visually-rich comprehensive analytics dashboard. Its user-friendly design highlights common issues most users face when designing applications, by providing simple explanations on how to resolve them to help users gain more insight into their models’ quality, potential data problems, and guidance to adopt best practices.
+- **Analytics dashboard** :: LUIS is releasing a more detailed, visually-rich comprehensive analytics dashboard. Its user-friendly design highlights common issues most users face when designing applications, by providing simple explanations on how to resolve them to help users gain more insight into their models’ quality, potential data problems, and guidance to adopt best practices.
 
 [Docs][31] | [Add language understanding to your bot][32] | use [LUDown][17] and [LUIS][18] command line tools 
 
@@ -184,9 +185,9 @@ A machine learning-based service to build natural language experiences. Quickly
 
 <a name="QnA-whats-new"></a>
 
-- **New! Extraction pipeline**: Now you can extract hierarchical information from URLs, files and sharepoint
-- **New! Intelligence**: Contextual ranking models, active learning suggestions
-- **New! Conversation**: Multi-turn conversations in QnA Maker.
+- **Extraction pipeline**: Now you can extract hierarchical information from URLs, files and sharepoint
+- **Intelligence**: Contextual ranking models, active learning suggestions
+- **Conversation**: Multi-turn conversations in QnA Maker.
 
 [Docs][34]  | [add qnamaker to your bot][35] | use [LUDdown][17] and [QnAMaker][19] command line tools