diff --git a/kv_cache_benchmark/kv_cache/benchmark.py b/kv_cache_benchmark/kv_cache/benchmark.py
index f345891..8219019 100755
--- a/kv_cache_benchmark/kv_cache/benchmark.py
+++ b/kv_cache_benchmark/kv_cache/benchmark.py
@@ -514,19 +514,19 @@ def process_requests(self, stop_event: threading.Event):
                     storage_latency += read_lat
                     request.context_tokens = remaining_tokens
 
-            # 2. For multi-turn conversations, access cache from previous turn.
-            if self.conversation_manager and request.turn_number > 1:
-                prev_turn_key = f"{request.conversation_id}_turn_{request.turn_number - 1}"
-                location, read_latency = self.cache.access_cache(prev_turn_key, InferencePhase.DECODE, 'multi_turn')
-                if location is not None:
-                    storage_latency += read_latency
-                    with self.results_lock: self.results['multi_turn_cache_hits'] += 1
-                else:
-                    with self.results_lock: self.results['multi_turn_cache_misses'] += 1
-
-            # 3. Perform the main PREFILL operation (a cache WRITE).
             # Skip if decode_only mode (disaggregated decode node)
             if not self.decode_only:
+                # 2. For multi-turn conversations, access cache from previous turn.
+                if self.conversation_manager and request.turn_number > 1:
+                    prev_turn_key = f"{request.conversation_id}_turn_{request.turn_number - 1}"
+                    location, read_latency = self.cache.access_cache(prev_turn_key, InferencePhase.DECODE, 'multi_turn')
+                    if location is not None:
+                        storage_latency += read_latency
+                        with self.results_lock: self.results['multi_turn_cache_hits'] += 1
+                    else:
+                        with self.results_lock: self.results['multi_turn_cache_misses'] += 1
+
+                # 3. Perform the main PREFILL operation (a cache WRITE).
                 if request.phase == InferencePhase.PREFILL or request.phase == InferencePhase.PREFILL_DECODE:
                     success, location, write_latency = self.cache.allocate_cache(
                         request.cache_key, request.context_tokens, InferencePhase.PREFILL