GCP Release Note: June 26, 2025

AI Applications

Feature

Vertex AI Search: gemini-2.5-flash/answer_gen/v1 model

You can generate answers with the Gemini 2.5 Flash (gemini-2.5-flash) model. This model is tuned to address context-based question and answering tasks.

For more information, see Answer generation model versions and lifecycle.

Anthos Config Management

Changed

Addressed multiple Common Vulnerabilities and Exposures (CVEs) by updating dependencies.

Fixed

Fixed an issue with the nomos CLI which prevented setting up autocomplete by using the nomos completion command. For more information see Use the nomos command-line tool.

Fixed

Fixed an issue which prevented a resource conflict metric from being recorded in rare cases.

Anti Money Laundering AI

Announcement

New minor engine version released for retail line of business within the v004 tuning version. This extends support for the major version and includes no significant changes versus the previous minor version.

BigQuery

Feature

You can now use the use the PARTITION BY clause of the CREATE VECTOR INDEX statement to partition TreeAH vector indexes. Partitioning enables partition pruning and can decrease I/O costs. This feature is in preview.

Feature

BigQuery search indexes provide free index management until your organization reaches the limit in a given region. You can now use the INFORMATION_SCHEMA.SEARCH_INDEXES_BY_ORGANIZATION view to understand your current consumption towards that limit, broken down by projects and tables. This feature is generally available (GA).

Cloud Load Balancing

Feature

In typical HTTPS communication, neither the load balancer nor the backend verify each other's identity, assuming that they are within a secure perimeter and can be trusted. However, when perimeter security needs reinforcement or communication extends beyond the perimeter, backend mTLS becomes essential. Backend mTLS ensures secure communication by requiring both the load balancer and the backend to mutually verify their identities.

With backend authenticated TLS, the load balancer verifies the backend server's certificate by checking its chain of trust, thereby confirming the backend's identity. Conversely, with backend mTLS, the backend server verifies the client certificate presented by the load balancer. Together, these mechanisms enable backend mTLS, ensuring that both parties validate each other's identity.

Backend mTLS complements frontend mTLS, which is already generally available (GA).

For details, see the following:

• Backend mTLS overview
• Set up backend authenticated TLS
• Set up backend mTLS

This capability is in General Availability for global external Application Load Balancers.

Dataflow

Feature

Dataflow now supports an automated parallel update workflow for streaming jobs. This feature helps minimize disruption by launching a new replacement job that runs in parallel with the existing job. After a duration of time you specify, the old job is automatically drained.

For more information, see Run parallel pipelines.

Dialogflow

Feature

Conversational Agents data stores: Conversational Agents now supports AlloyDB, Bigtable, Firestore, Spanner and Cloud SQL data store sources as public GA features. Microsoft Entra ID source has now private GA support.

Feature

Conversational Agents data stores: You can now create some data store types directly within the Conversational Agents console rather than needing to use AI Applications. See the data store creation documentation for details.

Google Cloud Contact Center as a Service

Announcement

Web SDK version 3

We're pleased to announce that the web SDK v3 is now generally available (GA). The web SDK v3 is built on the headless web SDK, so all of the methods that are available on a headless SDK client are also available with the web SDK v3 widget.

Deprecation notice

Starting on December 31, 2025, the web SDK v2 will no longer function. Be sure to update your website to use the web SDK v3 before that date to avoid breaking your integration with the web SDK. We are no longer adding new features to the web SDK v2.

Capabilities

The web SDK v3 provides the following new capabilities:

• View previous chats and download chat transcripts. End-users can view previous chats and download chat transcripts from the web SDK widget. For more information, see View previous chats and download chat transcripts.
• Web forms. You can set up HTML web forms to collect data from end-users. For more information, see Use data collection forms.
• Include conditional operators with proactive chat triggers. When configuring proactive chat triggers, you can include OR operators with keywords and AND operators with multiple conditions. For more information, see Proactive Web SDK Triggers.
• Agents can attach files during chats. An agent can attach a wide variety of file types using the web SDK widget during a chat session. For more information, see Configure rich messaging and file attachments.
• Disable chat audio. An end-user can disable chat audio using the web SDK widget.
• System message categorization. System messages are categorized as standard, confirmation, or error types.
• Post-session transfers when the end-user ends a session. Post-session transfers can be triggered when an end-user ends a call or chat session. For more information, see Post-session transfers.

Documentation

Here's the web SDK v3 documentation:

• Web SDK v3 guide
• Web SDK v3 strings guide
• Upgrade from web SDK version 2 to web SDK version 3

Upgrade

For help upgrading to web SDK v3, see Upgrade from web SDK version 2 to web SDK version 3. If you've been using the Private Preview version of web SDK v3, be sure to update your implementations to access widget.js from your Google Cloud CCaaS instance.

Looker Studio

Breaking

Don't display data in comparison metrics when Group others is enabled

The Group others option could display incorrect data when used with comparison metrics. Comparison metric fields now display the string no data when the Group others option is enabled on a chart.

Feature

Looker connector enhancements

The Looker connector can now connect to a private IP (private services access) only Looker (Google Cloud core) instance or to a private IP (Private Service Connect) Looker (Google Cloud core) instance using the Looker instance ID.

Network Connectivity Center

Feature

Static routes for Network Connectivity Center are available in public preview.

You can use static routes to define the next hop along the path that network traffic takes to reach a given destination. For more information about using static routes with Network Connectivity Center, see the Static routes overview.

VPC Service Controls

Feature

General availability support for the following integration:

• Parameter Manager

Vertex AI Workbench

Feature

M130 release

The M130 release of Vertex AI Workbench instances includes the following:

• Updated the Dataproc JupyterLab plugin to version 0.1.87.
• Added the BigQuery JupyterLab plugin, version 0.0.1.
• The GOOGLE_CLOUD_REGION environment variable is now set by default.

Source: Google Cloud Platform