June 2026 Monthly Summary for red-hat-data-services/trustyai-service-operator: - Focused on expanding LLM evaluation capabilities and aligning benchmarks to support faster, more reliable model iteration. - Stability maintained with no major bugs fixed this month; existing systems remained robust while new evaluation work was shipped.

May 2026 monthly summary for red-hat-data-services/trustyai-service-operator. Focused on preserving YAML formatting in ConfigMaps for the evaluation harness to ensure data integrity and reproducibility of model assessments. Delivered a feature that uses raw upstream YAML content instead of round-tripping through yaml.dump(), preserving comments, UTF-8 characters, and key ordering. The change reduces configuration drift and improves evaluation reliability.

April 2026: Delivered a focused dependency upgrade and adapter restoration for Eval Hub SDK within red-hat-data-services/lm-evaluation-harness, aligning with Python compatibility goals and enabling broader integration scenarios. Upgraded to eval-hub-sdk 0.1.5, reintroduced adapter functionality, and refreshed related dependency files to preserve stability.