January 2026 monthly summary focusing on key accomplishments, features delivered, major bugs fixed, and overall impact for the braintrust sdk and proxy teams. Highlights include end-to-end LiteLLM tracing across all methods, extensive test coverage, and improved JSON output handling for Anthropic models, delivering measurable business value through improved observability, reliability, and developer experience.

Month: 2025-12 — Concise monthly tech summary for Braintrust projects (braintrust-proxy & braintrust-sdk). Highlights include delivery of inline image data support in Gemini responses behind the proxy, improved model output token defaults, robustness improvements to metrics logging, fixes for OpenAI response handling, and Unicode-safe logging with a Python SDK upgrade. These changes reduce user confusion, prevent token-limit errors, improve reliability of image responses, and strengthen integration with OpenAI-like APIs. Included are end-to-end tests and production-like integration tests to validate behavior.

Month 2025-11 focused on strengthening GPT-5.1 model UX and proxy reliability in braintrust-proxy. Delivered UI-ready model metadata improvements that surface the verbosity parameter, and hardened the proxy’s reasoning_effort mapping to align with GPT-5.1 capabilities. The work enhances model discoverability, reduces routing errors, and improves overall reliability for end users and downstream systems.