dd69c5970c
Current reuse, TAI materialize, and TAI fused MLA store are optimized CP shared-KV paths. Their fallback helpers already emitted warnings, but the messages were not consistently grep-able with the standard CP shared-KV fallback marker. This moves the marker into the helper layer so individual fallback call sites do not have to remember to include it, and keeps the existing per-reason rate limiting. Constraint: Runtime fallback logs must be visible without enabling debug logging. Rejected: Prefix only selected call sites | helper-level prefixing avoids future unmarked fallback messages. Confidence: high Scope-risk: narrow Directive: New CP shared-KV runtime fallback helpers should use [CP_SHARED_KV_FALLBACK] and a component name. Tested: Local py_compile for cp_shared_kv_runtime.py and test_cp_shared_kv_runtime.py. Tested: Local extracted assertLogs check for all three fallback helper prefixes. Tested: Remote g0034 pytest exact runtime helper tests: 2 passed, 3 warnings. Not-tested: Full cp_shared_kv_runtime.py suite in this slice. 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.