diff --git a/tests/integration/defs/accuracy/test_llm_api_pytorch.py b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
index fca9c03d3845..214871f27dd5 100644
--- a/tests/integration/defs/accuracy/test_llm_api_pytorch.py
+++ b/tests/integration/defs/accuracy/test_llm_api_pytorch.py
@@ -5469,7 +5469,9 @@ def test_eagle3_4gpus(self, v2_kv_cache, moe_backend, one_model,
     @pytest.mark.skip_less_device(4)
     @pytest.mark.parametrize("one_model", [True, False],
                              ids=["one_model", "two_model"])
-    def test_eagle3_vswa_reuse_4gpus(self, one_model, mocker):
+    @pytest.mark.parametrize("v2_kv_cache", [True, False],
+                             ids=["v2_kv_cache", "v1_kv_cache"])
+    def test_eagle3_vswa_reuse_4gpus(self, v2_kv_cache, one_model, mocker):
         MAX_OUTPUT_LEN = 128179
         MAX_INPUT_LEN = 32768
 
@@ -5480,11 +5482,17 @@ def test_eagle3_vswa_reuse_4gpus(self, one_model, mocker):
         mocker.patch.object(GPQADiamond, "MAX_OUTPUT_LEN", MAX_OUTPUT_LEN)
         mocker.patch.object(GPQADiamond, "MAX_INPUT_LEN", MAX_INPUT_LEN)
 
+        if v2_kv_cache and not one_model:
+            pytest.skip(
+                "KVCacheManagerV2 not compatible with two-model overlap scheduling"
+            )
+
         pytorch_config = dict(cuda_graph_config=CudaGraphConfig())
         kv_cache_config = KvCacheConfig(free_gpu_memory_fraction=0.4,
                                         dtype="auto",
                                         enable_block_reuse=True,
-                                        max_attention_window=[128, 32768])
+                                        max_attention_window=[128, 32768],
+                                        use_kv_cache_manager_v2=v2_kv_cache)
 
         eagle_model_dir = f"{llm_models_root()}/gpt_oss/gpt-oss-120b-Eagle3"
         draft_len = 3
diff --git a/tests/integration/test_lists/qa/llm_function_core.txt b/tests/integration/test_lists/qa/llm_function_core.txt
index bc25f5735657..c8c7d4121c8f 100644
--- a/tests/integration/test_lists/qa/llm_function_core.txt
+++ b/tests/integration/test_lists/qa/llm_function_core.txt
@@ -500,7 +500,9 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trit
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trtllm-one_model-no_overlap_scheduler]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trtllm-one_model-overlap_scheduler]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[one_model]
-accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v2_kv_cache-one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-two_model]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-cutlass-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-cutlass-fp8]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-triton-auto]
diff --git a/tests/integration/test_lists/qa/llm_function_rtx6k.txt b/tests/integration/test_lists/qa/llm_function_rtx6k.txt
index d433922a7311..4260a5328d77 100644
--- a/tests/integration/test_lists/qa/llm_function_rtx6k.txt
+++ b/tests/integration/test_lists/qa/llm_function_rtx6k.txt
@@ -103,7 +103,9 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trit
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trtllm-one_model-no_overlap_scheduler]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trtllm-one_model-overlap_scheduler]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_guided_decoding_4gpus[one_model]
-accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v2_kv_cache-one_model]
+accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-two_model]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-cutlass-auto]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-cutlass-fp8]
 accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_1gpu[v1_kv_cache-True-True-triton-auto]
diff --git a/tests/integration/test_lists/test-db/l0_dgx_b200.yml b/tests/integration/test_lists/test-db/l0_dgx_b200.yml
index 27e800206a62..45c8b8f55a89 100644
--- a/tests/integration/test_lists/test-db/l0_dgx_b200.yml
+++ b/tests/integration/test_lists/test-db/l0_dgx_b200.yml
@@ -327,6 +327,9 @@ l0_dgx_b200:
   - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-trtllm-one_model-no_overlap_scheduler]
   - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v1_kv_cache-cutlass-one_model-no_overlap_scheduler]
   - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_4gpus[v2_kv_cache-cutlass-one_model-no_overlap_scheduler]
+  - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-one_model]
+  - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v2_kv_cache-one_model]
+  - accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_eagle3_vswa_reuse_4gpus[v1_kv_cache-two_model]
   - unittest/_torch/multi_gpu_modeling -k "deepseek"
   - accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_fp8_4gpus[pp4-fp8kv=True-attn_backend=TRTLLM-torch_compile=False]
   - accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTEDSL-mtp_nextn=2-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-low_precision_combine=False-torch_compile=False]