[refactor] Retire the legacy config accessor and the remaining process singletons (#30493)

python/sglang/srt/eplb/expert_location_dispatch.py

@@ -18,7 +18,7 @@ from typing import Literal, Optional
 import torch
 
 from sglang.srt.eplb.expert_location import get_global_expert_location_metadata
-from sglang.srt.server_args import get_global_server_args
+from sglang.srt.runtime_context import get_server_args
 from sglang.srt.utils import is_hip
 
 _is_hip = is_hip()
@@ -37,7 +37,7 @@ class ExpertLocationDispatchInfo:
 
     @classmethod
     def init_new(cls, layer_id: int):
-        ep_dispatch_algorithm = get_global_server_args().ep_dispatch_algorithm
+        ep_dispatch_algorithm = get_server_args().ep_dispatch_algorithm
         expert_location_metadata = get_global_expert_location_metadata()
         assert expert_location_metadata is not None
 

python/sglang/srt/eplb/expert_location_updater.py

@@ -25,7 +25,7 @@ from sglang.srt.eplb.expert_location import (
     ExpertLocationMetadata,
     get_global_expert_location_metadata,
 )
-from sglang.srt.server_args import get_global_server_args
+from sglang.srt.runtime_context import get_server_args
 from sglang.srt.utils import get_bool_env_var, get_int_env_var, is_hip
 
 logger = logging.getLogger(__name__)
@@ -108,7 +108,7 @@ def _update_expert_weights_with_canary(
         canary_tensor = (
             _get_canary_value(old_expert_location_metadata, layer_id)
             .clone()
-            .to(device=get_global_server_args().device, non_blocking=True)
+            .to(device=get_server_args().device, non_blocking=True)
         )
         routed_experts_weights_of_layer[layer_id].append(canary_tensor)