diff --git a/python/sglang/compile_deep_gemm.py b/python/sglang/compile_deep_gemm.py
index aa6f0703c..77ddbadce 100644
--- a/python/sglang/compile_deep_gemm.py
+++ b/python/sglang/compile_deep_gemm.py
@@ -33,7 +33,7 @@ envs.SGLANG_IN_DEEPGEMM_PRECOMPILE_STAGE.set(True)
 # Force enable deep gemm
 envs.SGLANG_ENABLE_JIT_DEEPGEMM.set(True)
 # Force enable mha chunked kv for DeepSeek V3 to avoid missing kv_b_proj DeepGEMM case
-os.environ["SGLANG_CHUNKED_PREFIX_CACHE_THRESHOLD"] = "0"
+envs.SGLANG_CHUNKED_PREFIX_CACHE_THRESHOLD.set(0)
 
 
 @dataclasses.dataclass
diff --git a/python/sglang/srt/environ.py b/python/sglang/srt/environ.py
index 47f570821..0a687e250 100644
--- a/python/sglang/srt/environ.py
+++ b/python/sglang/srt/environ.py
@@ -288,6 +288,7 @@ class Envs:
     SGLANG_DG_CACHE_DIR = EnvStr(os.path.expanduser("~/.cache/deep_gemm"))
     SGLANG_DG_USE_NVRTC = EnvBool(False)
     SGLANG_USE_DEEPGEMM_BMM = EnvBool(False)
+    SGLANG_CHUNKED_PREFIX_CACHE_THRESHOLD = EnvInt(8192)
 
     # DeepEP
     SGLANG_DEEPEP_BF16_DISPATCH = EnvBool(False)
diff --git a/python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py b/python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py
index fee23cc49..dca005dd1 100644
--- a/python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py
+++ b/python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py
@@ -14,7 +14,7 @@ from sglang.srt.distributed.device_communicators.pynccl_allocator import (
 from sglang.srt.environ import envs
 from sglang.srt.layers.deep_gemm_wrapper.configurer import ENABLE_JIT_DEEPGEMM
 from sglang.srt.server_args import ServerArgs
-from sglang.srt.utils import ceil_div, get_available_gpu_memory, get_bool_env_var
+from sglang.srt.utils import ceil_div, get_available_gpu_memory
 
 logger = logging.getLogger(__name__)
 
@@ -25,8 +25,8 @@ if ENABLE_JIT_DEEPGEMM:
 _BUILTIN_M_LIST = list(range(1, 1024 * 16 + 1))
 _ENABLE_JIT_DEEPGEMM_PRECOMPILE = envs.SGLANG_JIT_DEEPGEMM_PRECOMPILE.get()
 _DO_COMPILE_ALL = True
-_IS_FIRST_RANK_ON_NODE = get_bool_env_var("SGLANG_IS_FIRST_RANK_ON_NODE", "true")
-_IN_PRECOMPILE_STAGE = get_bool_env_var("SGLANG_IN_DEEPGEMM_PRECOMPILE_STAGE", "false")
+_IS_FIRST_RANK_ON_NODE = envs.SGLANG_IS_FIRST_RANK_ON_NODE.get()
+_IN_PRECOMPILE_STAGE = envs.SGLANG_IN_DEEPGEMM_PRECOMPILE_STAGE.get()
 
 # Force redirect deep_gemm cache_dir
 os.environ["DG_JIT_CACHE_DIR"] = os.getenv(
diff --git a/python/sglang/srt/models/deepseek_v2.py b/python/sglang/srt/models/deepseek_v2.py
index 4fd8376e4..b0e6ec1af 100644
--- a/python/sglang/srt/models/deepseek_v2.py
+++ b/python/sglang/srt/models/deepseek_v2.py
@@ -148,7 +148,6 @@ from sglang.srt.utils import (
     cpu_has_amx_support,
     get_bool_env_var,
     get_device_sm,
-    get_int_env_var,
     is_cpu,
     is_cuda,
     is_gfx95_supported,
@@ -1466,8 +1465,8 @@ class DeepseekV2AttentionMLA(nn.Module):
         )
 
         # TODO: Design a finer way to determine the threshold
-        self.chunked_prefix_cache_threshold = get_int_env_var(
-            "SGLANG_CHUNKED_PREFIX_CACHE_THRESHOLD", 8192
+        self.chunked_prefix_cache_threshold = (
+            envs.SGLANG_CHUNKED_PREFIX_CACHE_THRESHOLD.get()
         )
 
         # If we have self.fused_qkv_a_proj_with_mqa and we're running on CPU, we will choose the torch.ops.sgl_kernel.qkv_proj_with_rope_fused_weight kernel