mplQuery field by @CeRiAl in https://github.com/axiomhq/axiom-go/pull/434Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.31.1...v0.32.0
Hyper-cardinality, unified with logs and traces, and fully queryable by AI agents through MCP and a dedicated metrics skill.
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.31.0...v0.31.1
Turn your AI coding agents into evaluation suite authors with the Write Evaluations skill.
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.30.0...v0.31.0
Score your AI capability's outputs against live production traffic in real-time.
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.29.0...v0.30.0
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.28.0...v0.29.0
Turn your AI coding agents into metrics exploration experts with the Query metrics skill.
Sort fields by how often they appear, get smarter APL autocompletions, and improve API token management.
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.27.0...v0.28.0
Capture user feedback on AI capabilities with direct trace linking, generate dashboards from metrics datasets, and export query results in TOON format.
Introducing Canvas, a lightweight workspace for displaying multiple charts side by side to quickly correlate and compare your data, and Axiom SRE, an expert Site Reliability Engineering (SRE) investigator skill for AI coding agents.
Full Changelog: https://github.com/axiomhq/axiom-go/compare/v0.26.2...v0.27.0
Introducing support for API token filtering and improved traces UI.
A comprehensive set of GenAI functions to simplify working with conversation data from large language models and AI systems.
Offline evaluations for AI engineering and better alerting for data availability.
Foundation for a unified edge deployment architecture.
Metrics builder and better parsing of GenAI attributes in OpenTelemetry traces.