refactor: consolidate is_in_ci (jit_kernel, sgl-kernel benchmarks, tests) (#21009)

sgl-kernel/benchmark/bench_int8_gemm.py

@@ -7,6 +7,8 @@ import torch
 import triton
 from sgl_kernel import int8_scaled_mm
 
+from sglang.utils import is_in_ci
+
 # Optional vLLM import
 try:
     from vllm._custom_ops import cutlass_scaled_mm as vllm_scaled_mm
@@ -16,11 +18,7 @@ except ImportError:
     vllm_scaled_mm = None
     VLLM_AVAILABLE = False
 
-# CI environment detection
-IS_CI = (
-    os.getenv("CI", "false").lower() == "true"
-    or os.getenv("GITHUB_ACTIONS", "false").lower() == "true"
-)
+IS_CI = is_in_ci()
 
 
 def to_int8(tensor: torch.Tensor) -> torch.Tensor: