Files
sglang/test/registered/unit
leavelet 75d7d8772e Unify over-length errors into the PayloadTooLargeError 413 format
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>
2026-06-11 08:01:02 +00:00
..

Unit Tests

Component-level tests that do not launch a server or load model weights. Tests can use CPU or GPU — the key criterion is no server process.

Quick Start

  1. Find the source file under python/sglang/srt/.
  2. Create the corresponding test here, mirroring the source tree:
    srt/mem_cache/radix_cache.py       →  unit/mem_cache/test_radix_cache.py
    srt/sampling/sampling_params.py    →  unit/sampling/test_sampling_params.py
    
  3. Register for CI at the top of the file (after imports, before test classes):
    from sglang.test.ci.ci_register import register_cpu_ci
    register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
    # or: register_cuda_ci(est_time=10, suite="stage-b-test-1-gpu-small")
    
  4. Run locally:
    pytest test/registered/unit/ -v            # all unit tests
    pytest test/registered/unit/mem_cache/ -v  # one module
    
  5. Run with coverage:
    # summary
    pytest test/registered/unit/ --cov --cov-config=.coveragerc -v
    
    # PR incremental check (require ≥60% on changed lines)
    pytest test/registered/unit/ --cov --cov-config=.coveragerc --cov-report=xml
    diff-cover coverage.xml --compare-branch=origin/main --fail-under=60
    

Example

"""Unit tests for <module> — no server, no model loading."""

from sglang.test.ci.ci_register import register_cpu_ci

register_cpu_ci(est_time=5, suite="stage-a-test-cpu")

import unittest

from sglang.srt.<module> import TargetClass
from sglang.test.test_utils import CustomTestCase


class TestTargetClass(CustomTestCase):
    def test_basic_behavior(self):
        obj = TargetClass(...)
        self.assertEqual(obj.method(), expected)


if __name__ == "__main__":
    unittest.main()

Rules

  • No popen_launch_server() or Engine(...).
  • No model weight loading.
  • Use CustomTestCase (from sglang.test.test_utils, adds CI retry).
  • Use unittest.mock for dependencies that are expensive to construct.