leavelet
75d7d8772e
Over-long inputs produced two different client errors depending on
which bound rejected them: the TokenizerManager pre-check (raw
context_len) returned 413 PayloadTooLargeError ('The input (N tokens)
is longer than the model's context length (M tokens).'), while inputs
between that and the scheduler's stricter effective limit hit
validate_input_length and returned 400 BAD_REQUEST with different
wording (and a confusing 'X exceeds X' message since the check is >=).
Unify on the 413 format end to end:
- validate_input_length wording now matches the TokenizerManager
message, reporting the effective per-request limit.
- set_finish_with_abort takes status_code/err_type; the scheduler
length-rejection sites abort with REQUEST_ENTITY_TOO_LARGE +
PayloadTooLargeError. The batch handler previously queued the
over-long request WITHOUT marking it aborted (it proceeded to
prefill) — also fixed.
- Non-streaming aborts with 413 raise PayloadTooLargeError (now a
ValueError subclass so raw /generate-style endpoints that only
catch ValueError still respond; the OpenAI layer's except clause
is reordered to win and emit the 413 format).
- Streaming abort responses prefer the scheduler-provided err_type
over the HTTPStatus name.
Co-Authored-By: Claude Fable 5 <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.