feature: adding gpt-oss 120b nightly test (#18134)

.github/workflows/nightly-test-nvidia.yml

@@ -95,7 +95,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        partition: [0, 1, 2]
+        partition: [0, 1, 2, 3]
     env:
       RUNNER_LABELS: 8-gpu-h200
     steps:
@@ -118,7 +118,7 @@ jobs:
           IS_H200: "1"
         run: |
           cd test
-          python3 run_suite.py --hw cuda --suite nightly-8-gpu-common --nightly --timeout-per-file=18000 --continue-on-error --auto-partition-id=${{ matrix.partition }} --auto-partition-size=3
+          python3 run_suite.py --hw cuda --suite nightly-8-gpu-common --nightly --timeout-per-file=18000 --continue-on-error --auto-partition-id=${{ matrix.partition }} --auto-partition-size=4
 
       - name: Run test
         timeout-minutes: 30
@@ -179,7 +179,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        partition: [0, 1, 2]
+        partition: [0, 1, 2, 3]
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
@@ -199,7 +199,7 @@ jobs:
           GPU_CONFIG: "8-gpu-b200"
         run: |
           cd test
-          IS_BLACKWELL=1 python3 run_suite.py --hw cuda --suite nightly-8-gpu-common --nightly --timeout-per-file=12000 --continue-on-error --auto-partition-id=${{ matrix.partition }} --auto-partition-size=3
+          IS_BLACKWELL=1 python3 run_suite.py --hw cuda --suite nightly-8-gpu-common --nightly --timeout-per-file=12000 --continue-on-error --auto-partition-id=${{ matrix.partition }} --auto-partition-size=4
 
       - name: Collect performance metrics
         if: always()

test/registered/8-gpu-models/test_gpt_oss_120b.py

@@ -0,0 +1,84 @@
+import unittest
+
+from sglang.test.ci.ci_register import register_cuda_ci
+from sglang.test.performance_test_runner import PerformanceTestParams
+from sglang.test.run_combined_tests import run_combined_tests
+from sglang.test.test_utils import ModelLaunchSettings
+
+# Runs on both H200 and B200 via nightly-8-gpu-common suite
+# Higher est_time due to 6 variants with both performance and accuracy tests
+register_cuda_ci(est_time=1800, suite="nightly-8-gpu-common", nightly=True)
+
+GPT_OSS_120B_MXFP4_MODEL_PATH = "openai/gpt-oss-120b"
+GPT_OSS_120B_EAGLE3_DRAFT_MODEL_PATH = "lmsys/EAGLE3-gpt-oss-120b-bf16"
+
+
+class TestGptOss120B(unittest.TestCase):
+    """Unified test class for GPT-OSS-120B performance and accuracy.
+
+    Testing:
+    - Basic configs for MXFP4
+    - Full config for MXFP4 with reasoning-parser, tool-call-parser, and MTP
+    """
+
+    def test_gpt_oss_120b_all_variants(self):
+        """Run performance and accuracy for all GPT-OSS-120B variants."""
+        base_args = [
+            "--tp=8",
+            "--trust-remote-code",
+            "--cuda-graph-max-bs=200",
+            "--mem-fraction-static=0.93",
+        ]
+        # Lower batch size for EAGLE3 variants to avoid OOM
+        base_args_eagle3 = [
+            "--tp=8",
+            "--trust-remote-code",
+            "--cuda-graph-max-bs=100",
+            "--mem-fraction-static=0.85",
+        ]
+        parser_args = [
+            "--reasoning-parser=gpt-oss",
+            "--tool-call-parser=gpt-oss",
+        ]
+        eagle3_args = [
+            "--speculative-algorithm=EAGLE3",
+            f"--speculative-draft-model-path={GPT_OSS_120B_EAGLE3_DRAFT_MODEL_PATH}",
+            "--speculative-num-steps=3",
+            "--speculative-eagle-topk=1",
+            "--speculative-num-draft-tokens=4",
+        ]
+        eagle3_env = {
+            "SGLANG_ENABLE_SPEC_V2": "1",
+            "SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN": "1",
+        }
+
+        variants = [
+            # Variant 1: MXFP4 baseline
+            ModelLaunchSettings(
+                GPT_OSS_120B_MXFP4_MODEL_PATH,
+                tp_size=8,
+                extra_args=base_args,
+                variant="MXFP4",
+            ),
+            # Variant 2: MXFP4 + Parsers + EAGLE3 (full featured quantized, lower batch size)
+            ModelLaunchSettings(
+                GPT_OSS_120B_MXFP4_MODEL_PATH,
+                tp_size=8,
+                extra_args=base_args_eagle3 + parser_args + eagle3_args,
+                env=eagle3_env,
+                variant="MXFP4+Parsers+EAGLE3",
+            ),
+        ]
+
+        run_combined_tests(
+            models=variants,
+            test_name="GPT-OSS-120B",
+            accuracy_params=None,
+            performance_params=PerformanceTestParams(
+                profile_dir="performance_profiles_gpt_oss_120b",
+            ),
+        )
+
+
+if __name__ == "__main__":
+    unittest.main()