Agent-only. Auto mode (default on) finds the worker count via a throughput hill-climb + VRAM back-off — apt now that each job runs 3 detectors + several SigLIP embeds (GPU-bound). Manual dial still available; "Auto" toggle in the control UI. Ships in the agent image. CI green on dev (run 1751).
Agent-only. Auto mode (default on) finds the worker count via a throughput hill-climb + VRAM back-off — apt now that each job runs 3 detectors + several SigLIP embeds (GPU-bound). Manual dial still available; "Auto" toggle in the control UI. Ships in the agent image. CI green on dev (run 1751).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
The new per-job workload (3 detectors + several SigLIP embeds) is far more
GPU-bound than the old I/O-bound CCIP pass, so the right worker count shifted and
is hard to guess. Add an Auto mode (default ON) that finds it:
- _control_loop samples jobs/sec + GPU util/VRAM every ~6s and hill-climbs the
target: grow while throughput keeps improving and VRAM stays under budget,
revert a step that doesn't help, back off under memory pressure (VRAM >= 90%),
then settle and periodically re-probe (the GPU/IO balance shifts over a run).
- A manual concurrency set is an override → leaves Auto; an "Auto" toggle in the
control UI re-enables it. status() reports `auto`; the dial reflects the
auto-chosen count (read-only) while Auto is on.
- AUTO_SCALE env (default on) + compose doc. Agent py-compiled (outside CI).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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Agent-only. Auto mode (default on) finds the worker count via a throughput hill-climb + VRAM back-off — apt now that each job runs 3 detectors + several SigLIP embeds (GPU-bound). Manual dial still available; "Auto" toggle in the control UI. Ships in the agent image. CI green on dev (run 1751).
🤖 Generated with Claude Code