Deprecation of proposer field in QueryTemplate
The proposer field in the QueryTemplate schema is now formally deprecated in favor of primary_contact.
The proposer field in the QueryTemplate schema is now formally deprecated in favor of primary_contact.
Vertex AI expands agentic capabilities with Task Stores for decoupled task management and integrated speech-to-text transcription for generative models.
Vertex AI introduces a 'compact' HTTP forwarding method for publisher endpoints and adds standard long-running operation management for Serving Profiles.
BigQuery connections now support granular TLS configuration, including support for Private PKI and custom CA certificates.
BigQuery now explicitly identifies the SQL statement type in query responses and provides new percentile-based metrics for detecting data skew in query stages.
New event ingestion and profile retrieval methods for Memory Banks expand agentic capabilities, while breaking changes remove several fields from Agent and Tool result schemas.
Vertex AI introduces native audio transcription schemas and expands agent memory capabilities with event ingestion. New controls for video generation rewriters and granular index endpoint updates are also now available.
The Reservation resource now includes a read-only reservationGroupPath array, providing the full lineage of a reservation within hierarchical groups.
This update introduces significant breaking changes by removing generation penalties and caching fields, while adding new proxy methods for model responses and expanding retrieval tool support for agents.
Vertex AI introduces a flexible HTTP forwarding method for publisher endpoints and adds experimental alignment controls for video generation and grounding observability.
The optional context string has been removed from the LookupContextRequest schema, affecting metadata lookup workflows.
Vertex AI expands its Reasoning Engine capabilities with full CRUD support for Memory Banks and introduces a distinction between legacy and step-based streaming events.
Vertex AI expands its memory management capabilities, allowing developers to create, list, and automatically generate persistent memories for AI agents within the Reasoning Engine framework.
BigQuery now supports table-valued arguments for routines and provides granular object storage statistics for multi-cloud queries. Developers can also now force on-demand billing by setting reservations to 'none'.
The output-only metadataDestination field has been removed from the TransferRun resource schema.
Developers using Anthropic's Claude models on Vertex AI now have a dedicated configuration for advanced AI features and data retention opt-ins.
Vertex AI introduces MemoryBanks and Memories for persistent agent state management, alongside schema refinements for Monitored Agents and user scenario generation.
Vertex AI introduces long-running operation management for Memory resources and updates Agent scenario generation to support Gemini-based configurations.
The recently introduced DataDomain resource now includes output-only IAM policy member strings, supporting both name-based and UID-based identity principals.
Added automatic decimal separator detection for variable formatting and significantly reduced the surface area of the CompilerErrorLite schema.
BigQuery Reservation API adds support for updating reservation groups and hierarchical structures while deprecating Flex capacity commitments.