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@hashnadz hashnadz released this 20 Feb 16:38
· 315 commits to dev since this release
2.1.386
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Learn about vigilant mode.

🚀 Arthur Engine Release

February 18, 2026

This release strengthens evaluation workflows, task visibility, dataset intelligence, and enterprise deployment reliability across environments.

Evaluation & Experiment Enhancements

Improved Evaluation Configuration

  • Added a dedicated Evals input field for clearer configuration
  • Introduced a new filtering mechanism for Continuous Evals
  • Updated Trace Viewer to use a unified filtering system
  • Fixed span selector navigation issues

These updates make evaluations easier to configure, filter, and debug with greater precision.

Notebook & Transform Improvements

  • Added request form parameter configuration within notebooks
  • Introduced a “Fill from Object” button to accelerate transform setup
  • Added dataset transform relevance insights
  • Expanded dataset tracking visibility
  • Fixed issues with new columns disappearing when applying defaults

Improves iteration speed when building transforms and ensures dataset changes behave predictably.

Task Visibility & Workflow Intelligence

Task ID Overview Dashboard

  • Introduced a dedicated Task ID Overview Dashboard
  • Added enhanced KPI visibility in All Tasks tile cards
  • Improved automatic task assignment with Service Name Mapping
  • Fixed navbar and configuration edge cases

You now have clearer operational insight into task performance and ownership.

User Experience Improvements

  • Added system preferences for dark and light mode
  • Fixed tabs visibility when data is available
  • General UI refinements and stability improvements

These updates improve usability and consistency across the platform.

Deployment & Infrastructure Enhancements

GCP & Kubernetes Improvements

  • Improved GCP deployment to load GenAI models via GCS bucket mounting
  • Fixed MODEL_STORAGE_PATH handling across K8s and GCP model uploads
  • Added GCP environment variables and service account support to Helm chart
  • Improved container execution to support non-root environments
  • Resolved GCS prefix and model directory configuration conflicts
  • Fixed offline model upload issues

Arthur Engine is now more reliable across Cloud Run, Kubernetes, Helm-based deployments, and airgapped environments.

Connector & Data Support

  • Added IDA token exchange support for Databricks connector
  • Added support for datasets without time columns

Improves flexibility for enterprise data environments.

Agent Discovery Improvements

  • Added polling mechanism for Agent Discovery

Enhances real-time visibility into deployed agents and improves discovery responsiveness.

Security & Stability Improvements

  • Security update for Axios
  • Authentication library updates
  • Cache and dependency security patches
  • Oracle driver updated to modern oracledb
  • Multiple AWS SDK, React, and platform dependency upgrades
  • Stability fixes across configuration, trace filtering, and merge edge cases

These changes improve security posture, dependency health, and operational stability.

Observability & Documentation

  • Updated OpenTelemetry documentation
  • Improved README guidance
  • Added Claude Code GitHub workflow for CI improvements

What This Means for Customers

  1. Stronger evaluation control
    Improved filtering, clearer inputs, and better trace navigation reduce debugging time.
  2. Better operational visibility
    The new Task ID dashboard and enhanced KPIs provide clearer insight into task performance and ownership.
  3. More reliable enterprise deployment
    GCP, Kubernetes, Helm, and connector improvements strengthen production readiness.
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