Remove smoke wording from tests and comments (#23355)

python/sglang/multimodal_gen/.claude/skills/sglang-diffusion-modelopt-quant/SKILL.md

@@ -69,7 +69,7 @@ Validated documentation and CI coverage currently center on six ModelOpt diffusi
 Treat a new family, a new precision, or a new checkpoint layout as unsupported until it has a documented matrix row and a matching validation story.
 Before writing CLI examples, re-read the active branch's `docs/diffusion/quantization.md`: FLUX.2 NVFP4 is an official `black-forest-labs/*` repo rather than a `BBuf/*` converted repo, and its preferred flag depends on the current documented loader flow. Use `--transformer-path` for a component override directory with `config.json`; use `--transformer-weights-path` when the repo or path should be probed as raw weights.
 
-B200 CI coverage can include loose BF16-vs-quantized quality smoke checks. Inspect the active branch's `run_suite.py` before assuming they are part of the suite; mainline and feature branches may differ. Those checks are intended to catch blank, corrupted, or obviously divergent images, not exact image parity.
+B200 CI coverage can include loose BF16-vs-quantized quality checks. Inspect the active branch's `run_suite.py` before assuming they are part of the suite; mainline and feature branches may differ. Those checks are intended to catch blank, corrupted, or obviously divergent images, not exact image parity.
 
 ## Documentation Maintenance
 

python/sglang/multimodal_gen/tools/compare_diffusion_trajectory_similarity.py

@@ -4,7 +4,7 @@ This tool runs two SGLang diffusion variants with the same prompt and seed,
 captures intermediate denoising latents via `return_trajectory_latents`, and
 reports cosine / error metrics for each timestep plus final frame metrics.
 
-The intended use is quant validation on reduced deterministic smoke settings:
+The intended use is quant validation with reduced deterministic settings:
 - same prompt / seed / resolution / step count for both variants
 - BF16 reference on the base model
 - FP8 candidate via `--candidate-transformer-path` and/or component overrides

python/sglang/test/attention/test_trtllm_mla_backend.py

@@ -91,7 +91,7 @@ TEST_CASES = {
             "batch_size": 1,
             "max_seq_len": 32,
             "page_size": 32,
-            "description": "Minimal smoke test",
+            "description": "Minimal sanity check",
         },
         {
             "name": "batch",
@@ -731,7 +731,7 @@ class TestTRTLLMMLA(CustomTestCase):
                 self.assertFalse(torch.isinf(output).any(), "Output contains Inf")
 
     def test_shape_sanity(self):
-        """Smoke test decode across several configurations."""
+        """Check decode shapes across several configurations."""
         print(f"\nRunning shape sanity tests...")
 
         for test_case in TEST_CASES["shape_sanity_tests"]: