Roles and groups services added
This release1 featureNew capabilities1 fixBug fixesAI-tallied from the release notesThe SDK adds roles and groups services and copies slices that options store to prevent shared-mutable-state issues.
npx @buildinternet/releases get axiomRecently shipped a ⌘K command menu that jumps to datasets, dashboards, and monitors without leaving the keyboard.
Command Menu puts navigation on the keyboard. Press ⌘K on Mac or Ctrl+K on Windows and Linux to find datasets, dashboards, and monitors directly.
Agent-created organizations need no human in the loop. An agent stands up a real org and works in it immediately — datasets, ingestion, queries, dashboards, monitors — then hands back a claim link. The org starts temporary for 24 hours; claim it and everything the agent built stays. Unclaimed orgs are removed at the 24-hour mark.
Dashboards gained collapsible sections, gauges, and richer charts.
in filter for metrics.Dataset schema locking blocks structural changes. Once enabled, columns can't be added, removed, renamed, or retyped — enforced at the API level for production datasets and governance.
The Go SDK dropped legacy query support, a breaking change for callers on the old path. Go 1.26 is now the minimum, and v0.38.0 added roles and groups services. Earlier releases added UpdatedAt on datasets, monitors, and notifiers, partial and estimated query status, and LimitError inspectable as an HTTPError.
The SDK adds roles and groups services and copies slices that options store to prevent shared-mutable-state issues.
Axiom introduces a Command Menu opened with ⌘K on Mac or Ctrl+K on Windows and Linux, letting users find datasets, dashboards, and monitors without leaving the keyboard.
Fixed annotation list filter encoding and made the SDK ignore dataset labels. Also bumped the axiomhq/cli dependency from 0.19.1 to 0.20.0.
The SDK drops legacy query support. Also bumps the bundled axiomhq/cli to 0.19.1 and google.golang.org/grpc to 1.83.2.
Minimum Go version raised to 1.26, and integration tests no longer leak datasets.
LimitError can now be inspected as an HTTPError, simplifying error handling for users who previously had to type-assert or handle it separately.
An AI agent can now create a standalone Axiom organization, work in it for 24 hours, and hand it to a human via a claim link. Multi-query and dual Y-axis charts extend beyond metrics to structured, APL, and MPL queries, and legends gain aggregation columns and sorting.
Large dashboards can now be divided into collapsible sections that group related elements, and queries from collapsed sections stop running.
Gauge chart elements can now be added to dashboards and configured with data, including value fields, min/max ranges, thresholds, and custom styling.
Dataset schema locking makes a dataset's schema immutable, blocking new columns, column removal, renames, type changes, and other structural modifications at the API level.
The Axiom Grafana data source now runs both APL and MPL queries with a unified v2 query model, CodeMirror language support, and automatic migration of saved queries. APL gains four weighted aggregations, the MCP server adds monitor and notifier management, and metrics datasets get a prebuilt Kubernetes dashboard on arrival.
Hyper-cardinality, unified with logs and traces, and fully queryable by AI agents through MCP and a dedicated metrics skill.
Dashboards API gives you full programmatic control over dashboards.
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