diff --git a/python/sglang/srt/disaggregation/mini_lb.py b/python/sglang/srt/disaggregation/mini_lb.py
index 1dab5c9b3..3b8422421 100644
--- a/python/sglang/srt/disaggregation/mini_lb.py
+++ b/python/sglang/srt/disaggregation/mini_lb.py
@@ -161,12 +161,24 @@ async def handle_generate_request(request_data: dict):
     parsed_url = urllib.parse.urlparse(prefill_server)
     hostname = parsed_url.hostname
     modified_request = request_data.copy()
-    modified_request.update(
-        {
-            "bootstrap_host": hostname,
-            "bootstrap_room": random.randint(0, 2**63 - 1),
-        }
-    )
+
+    batch_size = _get_request_batch_size(modified_request)
+    if batch_size is not None:
+        modified_request.update(
+            {
+                "bootstrap_host": [hostname] * batch_size,
+                "bootstrap_room": [
+                    _generate_bootstrap_room() for _ in range(batch_size)
+                ],
+            }
+        )
+    else:
+        modified_request.update(
+            {
+                "bootstrap_host": hostname,
+                "bootstrap_room": _generate_bootstrap_room(),
+            }
+        )
 
     if request_data.get("stream", False):
         return await load_balancer.generate_stream(
@@ -178,6 +190,19 @@ async def handle_generate_request(request_data: dict):
         )
 
 
+def _generate_bootstrap_room():
+    return random.randint(0, 2**63 - 1)
+
+
+# We may utilize `GenerateReqInput`'s logic later
+def _get_request_batch_size(request):
+    if (text := request.get("text")) is not None:
+        return None if isinstance(text, str) else len(text)
+    if (input_ids := request.get("input_ids")) is not None:
+        return None if isinstance(input_ids[0], int) else len(input_ids)
+    return None
+
+
 @app.get("/v1/models")
 async def get_models():
     prefill_server = load_balancer.prefill_servers[0]  # Get the first prefill server
diff --git a/python/sglang/srt/managers/io_struct.py b/python/sglang/srt/managers/io_struct.py
index dbb632bd2..e8590c950 100644
--- a/python/sglang/srt/managers/io_struct.py
+++ b/python/sglang/srt/managers/io_struct.py
@@ -96,8 +96,8 @@ class GenerateReqInput:
     return_hidden_states: bool = False
 
     # For disaggregated inference
-    bootstrap_host: Optional[str] = None
-    bootstrap_room: Optional[int] = None
+    bootstrap_host: Optional[Union[List[str], str]] = None
+    bootstrap_room: Optional[Union[List[int], int]] = None
 
     def normalize_batch_and_arguments(self):
         """
@@ -397,6 +397,12 @@ class GenerateReqInput:
                 else None
             ),
             return_hidden_states=self.return_hidden_states,
+            bootstrap_host=(
+                self.bootstrap_host[i] if self.bootstrap_host is not None else None
+            ),
+            bootstrap_room=(
+                self.bootstrap_room[i] if self.bootstrap_room is not None else None
+            ),
         )