diff --git a/python/sglang/srt/entrypoints/engine.py b/python/sglang/srt/entrypoints/engine.py
index 21909706b..6f69fd19b 100644
--- a/python/sglang/srt/entrypoints/engine.py
+++ b/python/sglang/srt/entrypoints/engine.py
@@ -819,6 +819,31 @@ def _set_envs_and_config(server_args: ServerArgs):
     mp.set_start_method("spawn", force=True)
 
 
+def _wait_for_scheduler_ready(
+    scheduler_pipe_readers: List,
+    scheduler_procs: List,
+) -> List[Dict]:
+    """Wait for the model to finish loading and return scheduler infos."""
+    scheduler_infos = []
+    for i in range(len(scheduler_pipe_readers)):
+        try:
+            data = scheduler_pipe_readers[i].recv()
+        except EOFError:
+            logger.error(
+                f"Rank {i} scheduler is dead. Please check if there are relevant logs."
+            )
+            scheduler_procs[i].join()
+            logger.error(f"Exit code: {scheduler_procs[i].exitcode}")
+            raise
+
+        if data["status"] != "ready":
+            raise RuntimeError(
+                "Initialization failed. Please see the error messages above."
+            )
+        scheduler_infos.append(data)
+    return scheduler_infos
+
+
 def _launch_scheduler_processes(
     server_args: ServerArgs,
     port_args: PortArgs,
@@ -928,13 +953,13 @@ def _launch_subprocesses(
         # In multi-node cases, non-zero rank nodes do not need to run tokenizer or detokenizer,
         # so they can just wait here.
 
-        for reader in scheduler_pipe_readers:
-            data = reader.recv()
-            assert data["status"] == "ready"
+        scheduler_infos = _wait_for_scheduler_ready(
+            scheduler_pipe_readers, scheduler_procs
+        )
 
         if os.getenv("SGLANG_BLOCK_NONZERO_RANK_CHILDREN") == "0":
             # When using `Engine` as a Python API, we don't want to block here.
-            return None, None, None, port_args
+            return None, None, scheduler_infos, port_args
 
         launch_dummy_health_check_server(
             server_args.host, server_args.port, server_args.enable_metrics
@@ -945,7 +970,7 @@ def _launch_subprocesses(
             logger.error(
                 f"Scheduler or DataParallelController {proc.pid} terminated with {proc.exitcode}"
             )
-        return None, None, None, port_args
+        return None, None, scheduler_infos, port_args
 
     # Launch detokenizer process
     detoken_proc = mp.Process(
@@ -968,23 +993,7 @@ def _launch_subprocesses(
         template_manager = None
 
     # Wait for the model to finish loading
-    scheduler_infos = []
-    for i in range(len(scheduler_pipe_readers)):
-        try:
-            data = scheduler_pipe_readers[i].recv()
-        except EOFError:
-            logger.error(
-                f"Rank {i} scheduler is dead. Please check if there are relevant logs."
-            )
-            scheduler_procs[i].join()
-            logger.error(f"Exit code: {scheduler_procs[i].exitcode}")
-            raise
-
-        if data["status"] != "ready":
-            raise RuntimeError(
-                "Initialization failed. Please see the error messages above."
-            )
-        scheduler_infos.append(data)
+    scheduler_infos = _wait_for_scheduler_ready(scheduler_pipe_readers, scheduler_procs)
 
     # Get back some info from scheduler to tokenizer_manager
     tokenizer_manager.max_req_input_len = scheduler_infos[0]["max_req_input_len"]