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Highlights
Added aggregate time-series characteristics for inspecting real queries and making
data-driven model recommendations.
Added asynchronous shared autotune tools to create, inspect, and cancel tuning tasks for
one validated configuration across a bounded sample of time series.
Improved the guided workflow to reuse a user-provided query, request one when missing,
prefer efficient online models, and validate the final configuration before applying it.
Improvements
Aligned model guidance and embedded documentation with vmanomaly v1.30, including
Temporal Envelope, causal online validation, frozen autotune parameters, and the latest
query-server contracts.
Added support for documented multivariate models in shared autotune outside VMUI while
keeping them intentionally hidden from UI discovery and schema flows.