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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Test ID added to repeating dynamic layouts

Valid from Pega Version 8.1

A unique Test ID property has been added to repeating dynamic layouts to support automated testing, enabling you to write dependable automated tests against any Pega application. By including this unique identifier in your automated testing, you ensure a higher level of productivity and reliability within your applications.

For more information, see Test ID and Tour ID for unique identification of UI elements.

Resolve Job Scheduler and Queue Processor rules with the AsyncProcessor requestor type

Valid from Pega Version 8.1

Use the new AsyncProcessor requestor type to define a default dynamic context to resolve background rules such as Job Scheduler and Queue Processor rules. Switch to an application-based context after you create your own access groups, to resolve only the rules that are included in your application.

For more information, see AsyncProcessor requestor type.

Relevant records management shows more information

Valid from Pega Version 8.1

Relevant records for a class now include more information that you can use to manage the records for your application development. As a result of these enhancements, you can:

  • View inherited and inactive relevant records for the specified class.
  • Mark specific records as active or inactive for the specified class.
  • Mark specific records as relevant on the rule form.

You can use these new details to filter the list of relevant records for a class on the Relevant Records tab of the selected class. For more information, see Managing relevant records and Marking records as relevant records.

Support for when rule in offline-enabled applications

Valid from Pega Version 8.1

You can use when rules in offline-enabled applications without creating custom JavaScript code. Using when rules reduces the offline-enabled application implementation time by further automating case processing in offline mode and deriving the logic directly from the model. No additional configuration is required to use when rules in offline mode.

For more information, see When rule support in offline mode.

Case type landing page is created automatically

Valid from Pega Version 8.1

When you create a case type, a landing page is created automatically. You can add this page to the main menu, operator menu, and mobile tabs. You no longer need to create this page manually.

Support for an external Elasticsearch cluster for on-premises deployments

Valid from Pega Version 8.1

On-premises customers can configure an Elasticsearch cluster that is external to the Pega Platform™ by using client-server mode. Using an external search configuration makes Elasticsearch more highly available and scalable. 

You can view the status of your external Elasticsearch service on the Search landing page. For more information, see link to Viewing the status of an external search service.

Define time conditions for pausing a process in App Studio

Valid from Pega Version 8.1

You can now pause a process in App Studio until a date or time is reached or a certain amount of time has passed. By defining the conditions that pause a process, you can create dependencies among cases in your application.

For more information, see Pausing a process in a case.

Customize the subject line for case emails

Valid from Pega Version 8.1

You can now customize the subject line for emails that are sent from cases when an assignment is routed to a worklist and when you configure the Send Email shape. You can reference field names in the subject line to make it more meaningful. By customizing the subject line, you can call attention to cases that require action.

For more information, see:

Additional adaptive model predictors based on Interaction History

Valid from Pega Version 8.1

Customer interactions are now automatically used in adaptive models to predict future customer decisions. For example, a phone purchase registered in Interaction History allows an adaptive model to predict that a customer is more likely to accept supplementary coverage for a new device. Such interactions, collected in a predefined Interaction History summary, are applied as an additional set of predictors in an adaptive model.

The aggregated Interaction History summary predictors are enabled by default for every adaptive model configuration.

For more information, see Enabling Interaction History predictors for existing adaptive models.

Update text analytics models instantly through an API

Valid from Pega Version 8.1

Use the pxUpdateModels API to automatically retrain text analytics models for which you gathered feedback as a result of the pxCaptureTAFeedback activity. The pxUpdateModels API provides an option to update the model with the latest feedback without having to open Prediction Studio. Instead, you can use the activity from your application, for example, through a button control.

For more information, see Feedback loop for text analytics.

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