Latest Release Notes

Stay informed about the latest updates on Nimbus

This page will always reflect the latest Release Notes, recent improvements and changes made to Nimbus.

Other Information Resources:

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📣Important Announcements

Please take note of the following long-term and ongoing announcements below:

INC OData Server-driven pagination

OData Server-driven pagination

Starting February 2026 the Nimbus OData API handles large dataset requests with pagination using @odata.nextLink. Paginated results with a maximum of 10'000 entities per response are enforced.

Impacts to customers may not be obvious (non breaking change), but if the interface consuming the OData is not ready to handle pagination, partial results may be “silently" shown. 


✅Actions required: 

  • If you are using the Nimbus Power BI Template version 1.122 or above, you can expect it to handle @odata.nextLink out of box. 
    → Unless your template has been modified, there is no need to take action. In principle, older templates should also handle this automatically, however in case of problems, we recommend to always check if you can reproduce the issue with the most recent template listed in the Nimbus BI Template Release Notes.
  • When using custom solutions to consume OData you must familiarize yourself with the specifics of the tools and interfaces you use to ingest data from our OData API.

🔎@Odata.nextLink is…:

  • … a property used in OData responses to support pagination. Its presence indicates that the response is larger than what can be fit in a single response. 
  • … an indication that there are more results to be fetched, before the request is fully satisfied.
  • … URL that can be used to call and retrieve the next page of results. The URL is server-generated (never modify it).
  • … an OData standard. Typically returned by OData services including Nimbus, Microsoft Graph, and any OData v4-compliant API.
  • … essential for consuming large datasets.
  • … handled out of the box by most mainstream data platforms that claim native OData ingestion support and have native OData connectors (e.g. Power BI, Excel, Azure Data Factory, etc.).

🔎Things to be aware of: 

  • A system that sources data from the OData relying on a non-paged behavior may quietly end up with partial query results. 
  • Systems that rely on custom logic to extract OData may not handle pagination automatically and may need manual intervention to handle it. E.g.: 
    • Raw HTTP clients (curl, Postman, custom scripts)
    • Generic REST connectors without OData awareness
    • Older OData v2-only connectors (some legacy tools)
  • 10,000 is the maximum set – not a guarantee. Some pages may contain fewer records.

🔎 @odata.nextLink works as follows:

  1. The data client generates a request to the OData service.
  2. The OData service responds.
  3. The presence of @odata.nextLink in the response indicates that the server has more data available.
  4. Clients must continue issuing requests using the provided URL until no @odata.nextLink is returned.
 
 

🤔How does it work in the BI Template?

💡Good to know: The default official Nimbus Power BI Template does not need to be updated in order to handle the introduction of "@OData.nextLink". Power BI expects this behavior and handles it automatically.

☝If you customized the template, ensure that you are familiar with your code and how this could interfere with the standard @Odata.nextLink behavior. If unsure, update the default template to the newest version.

🔎How does Odata.nextLink improve stability of the OData service with Power BI?

✅ With server paging Power BI ❌ Without server paging Power BI
  • Reads the page
  • Follows @odata.nextLink
  • Repeats until no link exists
  • Avoids performance-related timeouts from large datasets and “race conditions”
  • Would request huge result sets
  • Assumes pagination is the server’s responsibility
  • APIs run out of memory
  • SQL queries lock tables
  • Refreshes may fail or timeout
 
 

🤔Which Nimbus data is affected?

Impacted OData entities from the Nimbus Reporting Model and Data Aggregation are as follows: 

  • ServiceSessionsAggregates
  • UserSessionsAggregates
  • UserStatesAggregates
  • ServiceSessions
  • UserSessions
  • UnifiedSessions
  • TransferSessions
  • Callers
 
 
 

End of announcements. Regular release notes continue below.


11 February 2026 - 1.124 Release Notes

🔖 This is a major update, bringing many new changes and improvements into Nimbus. This update is rolled out sequentially on our clusters:

Cluster Update on
United States 01 11/02/2026
Australia 01 12/02/2026
United Kingdom 01 17/02/2026
Switzerland 02 / Germany 02 19/02/2026
Switzerland 01 22/02/2026
Europe 01 25/02/2026
Germany 01 01/03/2026
Dates subject to change. Refer to https://status.luware.cloud/ > Scheduled Maintenance for the latest status.

OData Query: Enforced Pagination 

We made improvements to the existing Nimbus OData Feed queries to enforce paginated results. This limits the number of records in the response, ensuring to avoid timeouts, API constraints and other errors related to large and parallel data set queries.

🔎Added with this update:

  • Limited the number of records in the OData feed response to 10000 per page.
  • The OData query supports clients to page through the result set without having to dynamically adapting the OData filter.

✅Checking pagination readiness: 

  • When using the Nimbus Power BI Template version 1.122 or above, you can expect @odata.nextLink to work out of box with no further action required.
    🔎 Download links can be found on top of the BI Template page itself.
  • When you are accessing the 3rd-party solutions, please visit our OData Feed page and read the chapter on “Result pagination”. On most modern OData clients, @odata.nextLink pagination works without any additional actions required.
 

Data Privacy Settings: Caller Anonymization

Call Data for inbound and outbound calls can now be anonymized using the new “Caller Anonymization” feature.

💡This feature was added with the last release and enabled only on customer request. With this release, it is available to all Nimbus customers. 

Caller Anonymization is a new feature added to Nimbus which helps organizations to reduce exposure of personally identifiable information, supporting stricter privacy and compliance requirements.

Added to Nimbus:

  • Caller Anonymization - new configuration item in the Service Administration. In the configuration item, you can define how incoming PSTN numbers are identified for anonymization (e.g. opt-in numbers by specific region) by using regular expressions.
  • Data Privacy Service Settings tab added. Allows to steer the "Caller Anonymization" feature per service (default: disabled).
    • When enabled, Caller Anonymization will mark Customer identifying fields in the Nimbus UI as “Anonymized on request”.
    • KB Update: Updated System Fields and Parameters tables with a new “Caller Anonymization” columns and a separate chapter at the bottom to highlight the scope of this feature. 

🔎Learn more about the scope of Caller Anonymization

INC Caller Anonymization Scope

Type of Data in Scope  Field Names affected by Caller Anonymization
(System Fields and Parameters)
Content DURING live session
(My Sessions / Attendant Console  / Assistant)
Content AFTER session in short-term storage 
(Sessions List / My Sessions)
Content in LONG-TERM storage 
(Nimbus Reporting)

Nimbus

Call Data

  • MicrosoftCallerId
  • CallerTelNumber
  • Phone number
  • Caller + Tel Number
  • Customer + Primary Tel Number
  • Customer Primary Tel Number
Shown 
(required to support operational handling (e.g. Power Automate)
Shown as “Not Available” N/A - Not stored
  • CustomerFirstName
  • CustomerLastName
  • CustomerUPN
  • CustomerAddress
  • CustomerEmail
  • CustomerCompany
  • CustomerJobtitle
  • CustomerState
  • CustomerCity
  • CustomerStreetAddress

Shown as “Not Available” because Customer Identifier is “Anonymized on Request” 

 

Shown as “Not Available” N/A - Not stored
  • Display Name
Shown as “Anonymized on Request” Shown as “Anonymized on Request” N/A - Not stored

 

  • CallerID
  • CustomerDisplayName 
Shown as “Anonymized on Request” Shown as “Anonymized on Request” Shown as “Anonymized on Request”

Nimbus

System Data

  • Customer Identifier

Shown as “Anonymized on Request”

 

Shown as “Anonymized on Request” Shown as “Anonymized on Request”
  • IsAnonymous (Boolean)
N/A  N/A  Is set to true when Caller Anonymization is enabled.

Nimbus (Custom Context) Parameters 


Nimbus

Address Books

☝Custom Data and Address Books are NOT in scope of Caller Anonymization

The following data might still be visible during a call and needs to be handled accordingly:

  • Personal data stored in Parameters (e.g. a customer entering a PIN during a workflow or other personally identifiable information retrieved via Power Automate Connector).
  • Data stored within Workflow Activities, e.g. workflow announcements which are directly addressing the customer by name or involving a customer input. 
  • AI driven interactions with the Virtual User. The AI will use the customer identifiers to log and parse data. This also involves AI-driven features such as Summarization and Transcription, as invovled participants will be identified by name. 
  • Caller data stored or retrieved via Power Automate Connector, which also includes Address Book data, such as the customer's home address.
 
  • UI exposure: If your anonymized service makes use of Parameters and/or related Power Automate retrieval Flow Actions to store customer data, make sure to review which data gets exposed to your Nimbus users via Extensions Service Settings (e.g. as Context, Session Details).
  • Check Custom Context transfer / storage settings: Within Extensions Service Settings of your anonymized service, review the “Store Conversation Context Data” and “Keep Custom Context Parameters on transfer” toggles. When enabled, retrieved parameters would otherwise be kept and potentially revealed during service transfers and the historical Sessions List.
 
Table: Nimbus data affected with “Caller Anonymization" feature enabled
 
 

Before enabling this feature

  • "Caller Anonymization" Data Privacy Service Settings > is default disabled for all services. Once enabled, either all incoming PSTN calls OR the list of defined Caller Anonymization regular expression configuration items will be applied. → As data gets permanently as “Anonymized on Request”, please read the feature page carefully to understand the effects and follow-up actions required when using this.
  • For more details, refer to the Data Privacy Service Settings > Known Limitations / Anonymization Scope chapters.
 

🔎Notes for this release

  • Caller Anonymization is not retroactive, and only applies to call sessions as long as the feature is enabled.
  • When enabled for the first service being called, anonymization will persist through transfers.
  • Anonymization scope and feature limitations apply. 
    • This is the initial release version: Only Audio/Video modalities for inbound and outbound tasks are supported. 
    • No support for Transcription or Virtual Users, as involved AI agents use personal identifiers in their parsed call data.
 

Other Changes and Improvements

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