Under overlap scheduling a chunked request's final-chunk write-backup prepare read a stale `is_chunked` (>0): that per-tick counter is decremented in process_batch_result, which the overlap loop runs AFTER the run_batch prepare hook. So prepare floored `backup_end` to a page boundary (the intermediate-chunk rule) and dropped the now-complete final tail page, while the final non-chunked insert builds the radix node at full unaligned length. The exact-equality attach predicate (prepared.logical_len == len(value)) then failed by (num_tokens-1) mod page_size, dropped the per-layer overlap backup, and forced the serial all-layer catch-up (~89% of large chunked requests in prod). Decouple the floor decision from the stale counter: the scheduler marks `req.cp_backup_is_intermediate_chunk = (req is self.chunked_req)` in `_prepare_hicache_write_backups_before_forward` (the live chunked_req identity is the authoritative "will be chunked further" signal, set this tick before run_batch), and the prepare candidate builder floors on that flag instead of `is_chunked`. Intermediate chunks still floor; only the misclassified final chunk now backs up its full tail and attaches the overlap backup. Tests: update the chunked prepare test to the new flag; add a regression test that a final chunk with stale is_chunked reserves the full tail; add an offline repro that drives the real prepare/insert/probe and sweeps unaligned tails. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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.