d14c02b0dc
HiCache host hits can be skipped before load-back when the quota gate only counts immediately free KV allocator space. Under CP shared-KV pressure most reusable capacity may be represented as evictable radix-cache leaves, so the gate can incorrectly reject a host hit and leave prefill with cached-token zero despite host residency. Count device evictable cache in the quota estimate while leaving actual owner-lane allocation and eviction checks in the load path. Constraint: CP HiCache load-back still has to respect owner-lane allocation and allocator eviction semantics. Rejected: Force load-back regardless of quota | would bypass the scheduler pressure signal and increase OOM risk. Rejected: Treat cache-hit zero as a transfer issue | logs showed host hits were found but skipped by quota before transfer. Confidence: medium Scope-risk: moderate Directive: Do not remove evictable cache from load-back capacity accounting without checking CP HiCache host-hit behavior under device pressure. Tested: git diff --check Tested: remote g0034 container pytest -q test/registered/unit/managers/test_prefill_adder.py test/registered/unit/managers/test_hicache_controller_cp.py test/registered/unit/mem_cache/test_cp_hicache_metadata.py test/registered/unit/mem_cache/test_alloc_pages_with_owners.py (90 passed, 3 warnings) Not-tested: Full ETE GLM5 CP+HiCache+EAGLE pressure run after this quota change Co-authored-by: OmX <omx@oh-my-codex.dev>
Registered Tests
Tests under this directory are auto-discovered by run_suite.py via CI registration decorators.
Where Should I Put My New Test?
No server / engine launch required
| What you're testing | Directory | Requires |
|---|---|---|
| Component logic in isolation (cache, scheduler, config, parser, etc.) | unit/<module>/ |
CPU or GPU |
| CUDA kernel correctness | kernels/ |
GPU |
Server / engine launch required (E2E)
| What you're testing | Directory | Requires |
|---|---|---|
| Model inference correctness | models/, 4-gpu-models/, 8-gpu-models/ |
GPU |
| Feature-specific (OpenAI API, LoRA, speculative, distributed, VLM, etc.) | openai_server/, lora/, spec/, distributed/, ... |
GPU |
| Benchmarks (performance, accuracy, stress) | benchmark/ |
GPU |
| Platform-specific | amd/, ascend/ |
Vendor GPU |
See unit/README.md for unit test conventions.