- AdaptiveGate rewritten (Netflix Gradient2): window-vs-window per-stream
speed gradient, count-driven windows with admission stamps, no thresholds
or mode state machine; failures x0.7 + 30s drain pause
- session-level admission for multi-turn agents (_SessionGate): in-progress
sessions hold slots until done, newcomers queue at the door; capacity
follows the model gate's discovered limit (CONCUR-style continuity)
- image service: memory-first register (zero docker calls for known
images), TTL-cached docker images listing, optimistic ready when the
daemon is unreachable (docker save contention no longer kills runs);
es tar loading removed in favor of ModelScope shipping (ms_images.py
per-image tar upload/pull with round-trip verification)
- runner: circuit breaker (12 consecutive failures abort the bench),
first-failure error printed immediately
- swe_agentic: image wait / docker run / rm off the event loop; exec
timeout becomes an observation the agent can react to; container gets
curlrc + git low-speed aborts (stalled github downloads fail fast)
- eval run excludes its own endpoints from http_proxy (a sick personal
proxy read as 'endpoint dead' and killed whole runs)
- progress bar shows failed count; swe agentic exec_workers 2 -> 4
Co-Authored-By: Claude <noreply@anthropic.com>
