diff --git a/python/sglang/srt/disaggregation/base/conn.py b/python/sglang/srt/disaggregation/base/conn.py
index 88c956f4b..1dedb16eb 100644
--- a/python/sglang/srt/disaggregation/base/conn.py
+++ b/python/sglang/srt/disaggregation/base/conn.py
@@ -65,7 +65,6 @@ class KVArgs:
     # per tensor when the single contiguous slice already matches the layout.
     state_conv_shard_groups: List[List[Optional[List[int]]]]
     ib_device: str
-    ib_traffic_class: str
     gpu_id: int
     kv_head_num: int
     total_kv_head_num: int
diff --git a/python/sglang/srt/disaggregation/common/staging_buffer.py b/python/sglang/srt/disaggregation/common/staging_buffer.py
index 9ff1d0ef6..0824af25a 100644
--- a/python/sglang/srt/disaggregation/common/staging_buffer.py
+++ b/python/sglang/srt/disaggregation/common/staging_buffer.py
@@ -257,10 +257,6 @@ class StagingAllocator:
         offset, _, _ = self.allocations[alloc_id]
         return offset
 
-    def get_round(self, alloc_id: int) -> int:
-        _, _, rnd = self.allocations[alloc_id]
-        return rnd
-
     def get_base_ptr(self) -> int:
         return self.base_ptr
 
diff --git a/python/sglang/srt/disaggregation/prefill.py b/python/sglang/srt/disaggregation/prefill.py
index daf27ee38..b4af57e72 100644
--- a/python/sglang/srt/disaggregation/prefill.py
+++ b/python/sglang/srt/disaggregation/prefill.py
@@ -963,24 +963,6 @@ class SchedulerDisaggregationPrefillMixin:
             self.metrics_collector.increment_transfer_failed_reqs()
         return exc
 
-    def get_transferred_rids(self: Scheduler) -> List[str]:
-        """
-        Used by PP, get the transferred rids but **do not pop**
-        """
-        polls = poll_and_all_reduce_attn_cp_tp_group(
-            [req.disagg_kv_sender for req in self.disagg_prefill_inflight_queue],
-            self.attn_cp_cpu_group,
-            self.attn_tp_cpu_group,
-        )
-
-        transferred_rids: List[str] = []
-
-        for req, poll in zip(self.disagg_prefill_inflight_queue, polls):
-            if poll == KVPoll.Success or poll == KVPoll.Failed:
-                transferred_rids.append(req.rid)
-
-        return transferred_rids
-
     def clear_pending_chunk_send(self: Scheduler, req: Req) -> None:
         """Drop `req` from the sent-but-unconcluded chunk set.
 
diff --git a/python/sglang/srt/disaggregation/utils.py b/python/sglang/srt/disaggregation/utils.py
index b7962a2d8..6cda64717 100644
--- a/python/sglang/srt/disaggregation/utils.py
+++ b/python/sglang/srt/disaggregation/utils.py
@@ -729,52 +729,6 @@ def _get_cp_rank_page_bounds(
     return local_start, local_start + n_pages
 
 
-def page_indices_to_cp_rank_page_indices(
-    page_indices: np.ndarray,
-    total_pages: int,
-    cp_rank: int,
-    cp_size: int,
-) -> np.ndarray:
-    """
-    Filter page_indices (which are *global* page ids in the KV pool) to those
-    belonging to the given CP rank for this request.
-
-    For a single request, its pages occupy a contiguous global range
-    [first_page, first_page + total_pages). We first compute the local
-    split [0, total_pages) across cp_size ranks, then shift that local
-    range by first_page back into the global page id space and take
-    the intersection with page_indices.
-
-    Returns:
-        Subset of page_indices that fall in this rank's global
-        [start_page, end_page) slice for the given CP rank.
-    """
-    if cp_size <= 1:
-        return page_indices
-
-    if page_indices.size == 0:
-        return np.asarray(page_indices)
-
-    first_page = int(page_indices.min())
-    base = total_pages // cp_size
-    rem = total_pages % cp_size
-
-    if rem == 0:
-        local_start = cp_rank * base
-        local_end = local_start + base
-    else:
-        local_start = cp_rank * base + min(cp_rank, rem)
-        n_pages = base + (1 if cp_rank < rem else 0)
-        local_end = local_start + n_pages
-
-    # Map back to global page ids.
-    start_page = first_page + local_start
-    end_page = first_page + local_end
-
-    mask = (page_indices >= start_page) & (page_indices < end_page)
-    return np.asarray(page_indices)[mask]
-
-
 def filter_kv_indices_for_cp_rank(
     kv_mgr: CommonKVManager,
     kv_indices: np.ndarray,