[CI] Add multi-nodes longseq configs of DeepSeek-R1-W8A8 & Qwen3-235B-W8A8 (#5381)

### What this PR does / why we need it?
add DeepSeek-R1-W8A8 and Qwen3-235B-W8A8 configs in multi-nodes and
longseq (PCP&DCP) scenario

- vLLM version: release/v0.13.0
- vLLM main:
bc0a5a0c08
---------
Signed-off-by: daishixun <dsxsteven@sina.com>

.github/workflows/nightly_test_a3.yaml

@@ -68,6 +68,12 @@ jobs:
           - name: multi-node-qwenw8a8-2node-eplb
             config_file_path: Qwen3-235B-W8A8-EPLB.yaml
             size: 2
+          - name: multi-node-deepseek-r1-w8a8-longseq
+            config_file_path: DeepSeek-R1-W8A8-longseq.yaml
+            size: 2
+          - name: multi-node-qwenw8a8-2node-longseq
+            config_file_path: Qwen3-235B-W8A8-longseq.yaml
+            size: 2
     uses: ./.github/workflows/_e2e_nightly_multi_node.yaml
     with:
       soc_version: a3

tests/e2e/nightly/multi_node/config/models/DeepSeek-R1-W8A8-longseq.yaml

@@ -0,0 +1,109 @@
+test_name: "test DeepSeek-R1-W8A8-longseq disaggregated_prefill"
+model: "vllm-ascend/DeepSeek-R1-0528-W8A8"
+num_nodes: 2
+npu_per_node: 16
+env_common:
+  VLLM_USE_MODELSCOPE: true
+  HCCL_BUFFSIZE: 1024
+  SERVER_PORT: 8080
+  OMP_PROC_BIND: false
+  OMP_NUM_THREADS: 10
+  PYTORCH_NPU_ALLOC_CONF: expandable_segments:True
+  HCCL_DETERMINISTIC: True
+  TASK_QUEUE_ENABLE: 1
+  HCCL_OP_RETRY_ENABLE: "L0:0, L1:0"
+
+disaggregated_prefill:
+  enabled: true
+  prefiller_host_index: [0]
+  decoder_host_index: [1]
+
+deployment:
+  -
+    server_cmd: >
+      vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
+          --host 0.0.0.0
+          --port $SERVER_PORT
+          --data-parallel-size 1
+          --decode-context-parallel-size 8
+          --prefill-context-parallel-size 2
+          --tensor-parallel-size 8
+          --cp-kv-cache-interleave-size 128
+          --enforce-eager
+          --enable-expert-parallel
+          --seed 1024
+          --quantization ascend
+          --max-num-seqs 4
+          --max-model-len 32768
+          --max-num-batched-tokens 16384
+          --trust-remote-code
+          --gpu-memory-utilization 0.9
+          --enable-chunked-prefill
+          --speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
+          --kv-transfer-config
+          '{"kv_connector": "MooncakeConnectorV1",
+          "kv_role": "kv_producer",
+          "kv_port": "30000",
+          "engine_id": "0",
+          "kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
+          "kv_connector_extra_config": {
+                    "prefill": {
+                            "dp_size": 1,
+                            "tp_size": 8
+                    },
+                    "decode": {
+                            "dp_size": 2,
+                            "tp_size": 8
+                    }
+              }
+          }'
+
+  -
+    server_cmd: >
+      vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
+        --host 0.0.0.0
+        --port $SERVER_PORT
+        --data-parallel-size 2
+        --decode-context-parallel-size 2
+        --prefill-context-parallel-size 1
+        --tensor-parallel-size 8
+        --cp-kv-cache-interleave-size 128
+        --enable-expert-parallel
+        --seed 1024
+        --quantization ascend
+        --max-num-seqs 4
+        --max-model-len 32768
+        --max-num-batched-tokens 256
+        --trust-remote-code
+        --gpu-memory-utilization 0.9
+        --compilation_config '{"cudagraph_capture_sizes":[4,8,12,16],"cudagraph_mode": "FULL_DECODE_ONLY"}'
+        --enable-chunked-prefill
+        --speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
+        --kv-transfer-config
+        '{"kv_connector": "MooncakeConnectorV1",
+        "kv_role": "kv_consumer",
+        "kv_port": "30100",
+        "engine_id": "1",
+        "kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
+        "kv_connector_extra_config": {
+                  "prefill": {
+                          "dp_size": 1,
+                          "tp_size": 8
+                  },
+                  "decode": {
+                          "dp_size": 2,
+                          "tp_size": 8
+                  }
+            }
+        }'
+
+benchmarks:
+  acc:
+    case_type: accuracy
+    dataset_path: vllm-ascend/gsm8k
+    request_conf: vllm_api_general_chat
+    dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
+    max_out_len: 32768
+    batch_size: 512
+    baseline: 95
+    threshold: 5

tests/e2e/nightly/multi_node/config/models/Qwen3-235B-W8A8-longseq.yaml

@@ -0,0 +1,93 @@
+test_name: "test Qwen3-235B-A22B-W8A8-longseq disaggregated_prefill"
+model: "vllm-ascend/Qwen3-235B-A22B-W8A8"
+num_nodes: 2
+npu_per_node: 16
+env_common:
+  VLLM_USE_MODELSCOPE: true
+  OMP_PROC_BIND: false
+  OMP_NUM_THREADS: 100
+  HCCL_BUFFSIZE: 1024
+  SERVER_PORT: 8080
+  NUMEXPR_MAX_THREADS: 128
+disaggregated_prefill:
+  enabled: true
+  prefiller_host_index: [0]
+  decoder_host_index: [1]
+
+deployment:
+  -
+    server_cmd: >
+        vllm serve "vllm-ascend/Qwen3-235B-A22B-W8A8"
+        --host 0.0.0.0
+        --port $SERVER_PORT
+        --data-parallel-size 1
+        --decode-context-parallel-size 2
+        --prefill-context-parallel-size 2
+        --tensor-parallel-size 8
+        --cp-kv-cache-interleave-size 128
+        --seed 1024
+        --enforce-eager
+        --enable-expert-parallel
+        --max-num-seqs 16
+        --max-model-len 8192
+        --max-num-batched-tokens 8192
+        --quantization ascend
+        --trust-remote-code
+        --no-enable-prefix-caching
+        --gpu-memory-utilization 0.9
+        --kv-transfer-config
+        '{"kv_connector": "MooncakeConnectorV1",
+        "kv_role": "kv_producer",
+        "kv_port": "30000",
+        "engine_id": "0",
+        "kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
+        "kv_connector_extra_config": {
+                  "prefill": {
+                          "dp_size": 1,
+                          "tp_size": 8
+                  },
+                  "decode": {
+                          "dp_size": 2,
+                          "tp_size": 8
+                  }
+            }
+        }'
+
+  -
+    server_cmd: >
+        vllm serve "vllm-ascend/Qwen3-235B-A22B-W8A8"
+        --host 0.0.0.0
+        --port $SERVER_PORT
+        --data-parallel-size 2
+        --decode-context-parallel-size 2
+        --prefill-context-parallel-size 1
+        --tensor-parallel-size 8
+        --cp-kv-cache-interleave-size 128
+        --seed 1024
+        --quantization ascend
+        --max-num-seqs 16
+        --max-model-len 8192
+        --max-num-batched-tokens 8192
+        --enable-expert-parallel
+        --trust-remote-code
+        --no-enable-prefix-caching
+        --gpu-memory-utilization 0.9
+        --compilation_config '{"cudagraph_mode": "FULL_DECODE_ONLY"}'
+        --kv-transfer-config
+        '{"kv_connector": "MooncakeConnectorV1",
+        "kv_role": "kv_consumer",
+        "kv_port": "30100",
+        "engine_id": "1",
+        "kv_connector_module_path": "vllm_ascend.distributed.mooncake_connector",
+        "kv_connector_extra_config": {
+                  "prefill": {
+                          "dp_size": 1,
+                          "tp_size": 8
+                  },
+                  "decode": {
+                          "dp_size": 2,
+                          "tp_size": 8
+                  }
+            }
+        }'
+benchmarks: