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trackio minor

feat: Add additional support for autonomous ML experiments

  • trackio.watch() / trackio.should_stop(): register metric watchers (NaN/Inf, threshold, spike, stagnation, custom fn) that fire alerts automatically on every trackio.log() call
  • AlertReason constants for programmatic alert filtering
  • Run lifecycle status tracking (runningfinished / failed) persisted in SQLite
  • New CLI commands: trackio best, trackio compare, trackio summary
  • Run.status, Run.final_metrics, Run.metrics(), Run.history() on the Python API
  • alerts.data column (SQL migration) for structured alert metadata