June 2026 performance summary for block/goose. Focused on delivering OrcaRouter, a Unified Adaptive Router for AI Models, enabling a single OpenAI-compatible API path across providers. This feature strengthens multi-model support, onboarding, and customer integration by consolidating routing logic behind a declarative provider. No critical bug fixes were required this month as the emphasis was on feature delivery and integration robustness. The primary implementation is captured in the commit cb6ece752c48c97eb0cf9762b59beb269bd80626 (feat(providers): add OrcaRouter as a declarative OpenAI-compatible provider).

May 2026 Monthly Summary — Focused on delivering a scalable routing improvement and validating multi-model orchestration, with a strong emphasis on business value through flexible model routing and efficient resource use. 1) Key features delivered - OrcaRouter Provider for Adaptive Multi-Model Routing: Introduced OrcaRouter provider enabling adaptive routing to multiple AI models through a single endpoint, increasing model-selection flexibility and routing efficiency. Commit fe115abe52278a48a9f94a1dbfe0f0c30296ce08; Co-authored-by: mldangelo <michael.l.dangelo@gmail.com>, Co-authored-by: Michael D\'Angelo <mdangelo@openai.com>. 2) Major bugs fixed - No major bugs fixed this month. 3) Overall impact and accomplishments - Establishes a scalable routing layer that supports future multi-model integrations, reducing time-to-route to the most appropriate model and enabling more dynamic experimentation and cost-aware routing strategies. Demonstrated strong collaboration and clean PR practices (feature flag in commits, provider pattern). 4) Technologies/skills demonstrated - Provider architecture and single-endpoint orchestration for multi-model routing; API design for modular, pluggable routing components; collaborative development (co-authored commits); Git metadata usage and PR workflow.