January 2026 focused on enhancing observability and reliability of the JavaScript tracing pipeline in braintrust-sdk. Delivered Playground Logging Support for JavaScript Trace Scoring, enabling comprehensive logging of playground user interactions by adding support for playground_logs and updating trace scorer to handle the new object type. Implemented a targeted fix to the JS trace scorer to account for playground_logs, improving log accuracy and reporting robustness. This work lays the groundwork for cross-language parity with Python and strengthens end-to-end debugging and analytics capabilities across the product.

Monthly summary for 2025-10: Braintrust Proxy development focused on deprecating Claude 3.5 Sonnet models to simplify lifecycle management, reduce support overhead, and guide users toward newer, supported models. The primary deliverable was a configuration change in the model list to mark Claude 3.5 Sonnet models as deprecated, enabling downstream routing to newer models. This work aligns with policy guidance and prepares the platform for smoother transitions across model generations. No major bugs fixed this month; the focus was on deprecation workflow and repository configuration. Technologies demonstrated include JSON config updates, Git commit practices, and policy-driven deprecation workflows. Business value includes clearer model lifecycle, reduced maintenance costs, and improved user experience through consistent model availability.

July 2025 monthly summary focusing on delivering and stabilizing messaging capabilities across the SDK and OpenAPI surfaces. The work prioritized stability around developer-oriented messaging while laying groundwork for future iterations. OpenAPI improvements were made to support developer-originated messages and function_type categorization, enabling clearer cross-service validation. These efforts enhance messaging semantics, reduce API drift risk, and create a clearer path to developer-facing features across SDK and API surfaces.

June 2025: Braintrust Proxy – Anthropic API integration enhancements delivered with strong type safety and schema reuse to improve reliability and maintainability of AI interactions. Implemented TypeScript definitions for Anthropic messages (text, images, tool usage, and document content) and exported the anthropic image part schema for reuse across the application. This work strengthens data contracts, reduces runtime errors, and accelerates future integrations with Anthropic services.