diff --git a/verl/experimental/fully_async_policy/agent_loop/agent_loop.py b/verl/experimental/fully_async_policy/agent_loop/agent_loop.py
index 2502de62fff..5918624f031 100644
--- a/verl/experimental/fully_async_policy/agent_loop/agent_loop.py
+++ b/verl/experimental/fully_async_policy/agent_loop/agent_loop.py
@@ -17,7 +17,6 @@
 from typing import Any, Optional
 
 import ray
-import torch
 from omegaconf import DictConfig
 
 from verl.experimental.agent_loop.agent_loop import (
@@ -96,11 +95,10 @@ async def generate(
             final_output.token_ids.extend(output.token_ids)
             if output.log_probs is not None:
                 final_output.log_probs.extend(output.log_probs)
+            # sglang returns routed_experts for the full sequence (prompt + all tokens),
+            # so on partial rollout resume the new output already covers all positions.
             if output.routed_experts is not None:
-                if final_output.routed_experts is None:
-                    final_output.routed_experts = output.routed_experts
-                else:
-                    final_output.routed_experts = torch.cat([final_output.routed_experts, output.routed_experts], dim=0)
+                final_output.routed_experts = output.routed_experts
             if output.num_preempted is not None:
                 final_output.num_preempted += output.num_preempted
             final_output.stop_reason = output.stop_reason