June 2026 monthly summary for braintrust-sdk focusing on inline evaluation provenance and validation.

April 2026 monthly summary for braintrust-sdk: Key enhancements delivered to improve experiment reproducibility and data governance through dataset versioning and BTQL filter preservation. This work enables precise re-runs against the same dataset version, supports human-friendly references to versions (snapshots and environment tags), and stores internal BTQL filters within experiment metadata to recreate exact data slices and improve UI transparency. No major bugs reported this month; the team focused on delivering robust versioning paths and metadata persistence, underpinned by tests and docs updates. These changes accelerate repeatable experiments, improve auditability, and provide a solid foundation for reproducibility-driven workflows.

January 2026 monthly summary for braintrust-proxy focused on delivering proactive model lifecycle governance and reliable deployment readiness. Key changes enabled automated deprecation planning and lifecycle enforcement, reducing risk of stale models and improving governance oversight.