[CI] Lower GSM8K baselines for B200 nightly after eval unification (#22136)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

python/sglang/test/accuracy_test_runner.py

@@ -30,6 +30,7 @@ class AccuracyTestParams:
     top_p: Optional[float] = None
     top_k: Optional[int] = None
     repeat: Optional[int] = None
+    api: Optional[str] = None  # "chat" or "completion"; defaults to "chat" in run_eval
 
 
 @dataclass
@@ -87,6 +88,7 @@ def _run_simple_eval(
     top_p: Optional[float] = None,
     top_k: Optional[int] = None,
     repeat: Optional[int] = None,
+    api: Optional[str] = None,
 ) -> Tuple[bool, Optional[str], Optional[dict]]:
     """Run evaluation using simple_eval backend (run_eval.py).
 
@@ -111,6 +113,9 @@ def _run_simple_eval(
             num_threads=num_threads or 1024,
         )
 
+        if api is not None:
+            args.api = api
+
         if max_tokens is not None:
             args.max_tokens = max_tokens
 
@@ -489,6 +494,7 @@ def run_accuracy_test(
             top_p=params.top_p,
             top_k=params.top_k,
             repeat=params.repeat,
+            api=params.api,
         )
 
     if not success:

test/registered/backends/test_flashinfer_trtllm_gen_moe_backend.py

@@ -59,7 +59,7 @@ class FlashinferTrtllmGenMoeBackendFP8Base:
         )
         metrics = run_eval(args)
         print(f"{metrics=}")
-        self.assertGreater(metrics["score"], 0.93)
+        self.assertGreater(metrics["score"], 0.89)
 
 
 class FlashinferTrtllmGenMoeBackendBF16Base:

test/registered/perf/test_dpsk_v3_fp4_4gpu_perf.py

@@ -63,7 +63,10 @@ class TestDeepseekR1FP4Unified(unittest.TestCase):
             models=variants,
             test_name="DeepSeek-V3-0324-FP4 Unified",
             accuracy_params=AccuracyTestParams(
-                dataset="gsm8k", baseline_accuracy=0.935
+                dataset="gsm8k",
+                baseline_accuracy=0.935,
+                num_examples=200,
+                api="completion",
             ),
             performance_params=PerformanceTestParams(
                 profile_dir="performance_profiles_deepseek_v3_fp4",