diff --git a/serve/README.md b/serve/README.md
index 9f204eb..1f30b79 100644
--- a/serve/README.md
+++ b/serve/README.md
@@ -30,6 +30,10 @@ Knobs: `--hicache-size-gb`, `--hicache-state-slots`, `--routing affinity|least-l
 conversation's turns on one rank, keyed by the first user message; required for hits since the cache is
 per rank). The cache requires decoder bounded replay (`--yoco-keep-tokens > 0`, the default 140).
 
+EPLB expert rearrangement is off by default (`--eplb-interval 0`). Every rearrangement stalls all ranks for about
+0.3 s, and with `--eplb-after-prefill 1` it fires after nearly every step under multi-turn traffic; enable it with
+`--eplb-interval 30` only for decode-heavy workloads whose expert load is skewed.
+
 ## How a hit works
 
 A new prompt's page hashes are matched from the start; the match is capped so that at least `keep_tokens`
diff --git a/serve/openai_server.py b/serve/openai_server.py
index 1e41bf2..e117e1b 100644
--- a/serve/openai_server.py
+++ b/serve/openai_server.py
@@ -67,6 +67,22 @@ def parse_args() -> argparse.Namespace:
         help="DEEPINFER_PREFILL_ANY_ATTEMPT_INTERVAL: a rank with a waiting prompt gets a prefill step at most this "
         "many decode steps later even if other ranks are idle (engine default 100 => ~1.4 s TTFT floor)",
     )
+    p.add_argument(
+        "--eplb-interval",
+        type=int,
+        default=0,
+        help="DEEPINFER_EXPERT_REARRANGEMENT_STEP_INTERVAL: rearrange experts every N steps; 0 (default) disables EPLB. "
+        "Each rearrangement stalls every rank (~0.3 s on B200/GB300), which under online traffic costs far more than "
+        "the balance it buys",
+    )
+    p.add_argument(
+        "--eplb-after-prefill",
+        type=int,
+        default=0,
+        choices=[0, 1],
+        help="DEEPINFER_REARRANGE_AFTER_PREFILL_IN_NORMAL_ENGINE: also rearrange after every prefill step (only with "
+        "--eplb-interval > 0); with agentic traffic nearly every step batch contains a prefill",
+    )
     return p.parse_args()
 
 
@@ -92,7 +108,10 @@ def worker_main(args: argparse.Namespace, dp_rank: int, in_q: mp.Queue, out_q: m
         # 128-boundaries behind the end of a prompt (see HostPrefixCache.state_lookback_blocks).
         os.environ.setdefault("DEEPINFER_PREFILL_STORE_EXTRA_SIZE", "512")
     os.environ.setdefault("DEEPINFER_PREFILL_ANY_ATTEMPT_INTERVAL", str(args.prefill_any_interval))
-    setup_common_env(model_name=args.model, sampler_force_topk=1024, set_override_experts=True, enable_eplb=True)
+    setup_common_env(model_name=args.model, sampler_force_topk=1024, set_override_experts=True, enable_eplb=False)
+    if args.eplb_interval > 0:
+        os.environ["DEEPINFER_EXPERT_REARRANGEMENT_STEP_INTERVAL"] = str(args.eplb_interval)
+        os.environ["DEEPINFER_REARRANGE_AFTER_PREFILL_IN_NORMAL_ENGINE"] = str(args.eplb_after_prefill)
 
     llm = create_llm(
         args.model,