diff --git a/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-1p1d-dep8-dep8-mtp-agentic.yaml b/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-1p1d-dep8-dep8-mtp-agentic.yaml
index 221215b33f..4c5b5fe02a 100644
--- a/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-1p1d-dep8-dep8-mtp-agentic.yaml
+++ b/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-1p1d-dep8-dep8-mtp-agentic.yaml
@@ -50,7 +50,7 @@ backend:
   type: vllm
   connector: null
   dp_launch_mode: per_node
-  prefill_environment: &worker_environment
+  decode_environment: &worker_environment
     HF_HUB_CACHE: /hf_hub_cache
     VLLM_ENGINE_READY_TIMEOUT_S: "3600"
     VLLM_RPC_TIMEOUT: "600000"
@@ -66,7 +66,9 @@ backend:
     UCX_NET_DEVICES: "mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1"
     UCX_TLS: "rc,cuda_copy"
     NCCL_IB_HCA: "mlx5_0,mlx5_1,mlx5_2,mlx5_3"
-  decode_environment: *worker_environment
+  prefill_environment:
+    <<: *worker_environment
+    PYTORCH_CUDA_ALLOC_CONF: "expandable_segments:True"
   vllm_config:
     prefill: &dep8_config
       kv-transfer-config: '{"kv_connector":"NixlConnector","kv_role":"kv_both"}'
@@ -116,7 +118,8 @@ benchmark:
     IS_MULTINODE: "true"
     AIPERF_USE_DYNAMO_CONV_AWARE_ROUTING: "0"
     AIPERF_HTTP_X_DYNAMO_SESSION_ID_FROM_CORRELATION_ID: "true"
+    AIPERF_HTTP_TCP_USER_TIMEOUT: "900000"
     AIPERF_DATASET_MMAP_CACHE_DIR: /aiperf_mmap_cache
     HF_HUB_CACHE: /hf_hub_cache
     WEKA_LOADER_OVERRIDE: semianalysis_cc_traces_weka_062126
-    AIPERF_REQUIRED_SERVER_METRIC_PREFIX: "vllm:"
+    AIPERF_REQUIRED_SERVER_METRIC_PREFIX: "vllm:kv_cache_usage_perc"
diff --git a/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-2p1d-dep8-dep8-mtp-agentic.yaml b/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-2p1d-dep8-dep8-mtp-agentic.yaml
index 8b3ddfe146..0cb058b4df 100644
--- a/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-2p1d-dep8-dep8-mtp-agentic.yaml
+++ b/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic/disagg-gb200-2p1d-dep8-dep8-mtp-agentic.yaml
@@ -13,7 +13,7 @@ identity:
 dynamo: { version: "1.3.1", install: true }
 setup_script: vllm-container-deps.sh
 environment: { ETCD_LEASE_TTL: "7200" }
-slurm: { time_limit: "8:00:00" }
+slurm: { time_limit: "12:00:00" }
 health_check: { max_attempts: 2160, interval_seconds: 10 }
 
 resources:
@@ -45,7 +45,7 @@ backend:
   type: vllm
   connector: null
   dp_launch_mode: per_node
-  prefill_environment: &worker_environment
+  decode_environment: &worker_environment
     HF_HUB_CACHE: /hf_hub_cache
     VLLM_ENGINE_READY_TIMEOUT_S: "3600"
     VLLM_RPC_TIMEOUT: "600000"
@@ -61,7 +61,9 @@ backend:
     UCX_NET_DEVICES: "mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1"
     UCX_TLS: "rc,cuda_copy"
     NCCL_IB_HCA: "mlx5_0,mlx5_1,mlx5_2,mlx5_3"
-  decode_environment: *worker_environment
+  prefill_environment:
+    <<: *worker_environment
+    PYTORCH_CUDA_ALLOC_CONF: "expandable_segments:True"
   vllm_config:
     prefill: &dep8_config
       kv-transfer-config: '{"kv_connector":"NixlConnector","kv_role":"kv_both"}'
@@ -111,7 +113,8 @@ benchmark:
     IS_MULTINODE: "true"
     AIPERF_USE_DYNAMO_CONV_AWARE_ROUTING: "0"
     AIPERF_HTTP_X_DYNAMO_SESSION_ID_FROM_CORRELATION_ID: "true"
+    AIPERF_HTTP_TCP_USER_TIMEOUT: "900000"
     AIPERF_DATASET_MMAP_CACHE_DIR: /aiperf_mmap_cache
     HF_HUB_CACHE: /hf_hub_cache
     WEKA_LOADER_OVERRIDE: semianalysis_cc_traces_weka_062126
-    AIPERF_REQUIRED_SERVER_METRIC_PREFIX: "vllm:"
+    AIPERF_REQUIRED_SERVER_METRIC_PREFIX: "vllm:kv_cache_usage_perc"
diff --git a/configs/nvidia-master.yaml b/configs/nvidia-master.yaml
index 551dfd8a0c..31526dae4f 100644
--- a/configs/nvidia-master.yaml
+++ b/configs/nvidia-master.yaml
@@ -7978,6 +7978,7 @@ dsv4-fp4-gb200-dynamo-vllm-agentic-mtp-disagg:
     - search-space:
       # One two-tray DEP8 prefill and decode worker covers the balanced region.
       - spec-decoding: mtp
+        kv-offloading: none
         conc-list: [32, 64, 96, 128, 192, 256]
         prefill:
           num-worker: 1
@@ -7995,6 +7996,7 @@ dsv4-fp4-gb200-dynamo-vllm-agentic-mtp-disagg:
           dp-attn: true
       # A second DEP8 prefill worker extends the high-concurrency region.
       - spec-decoding: mtp
+        kv-offloading: none
         conc-list: [192, 256, 384, 512]
         prefill:
           num-worker: 2
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index 73f2b38f7e..5a8991ac09 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -6868,3 +6868,11 @@
   description:
     - "Refresh the DeepSeek-V4-Pro FP4 B200 vLLM image and search space, pin the Nscale NVFP4 checkpoint, use the FlashInfer CuTeDSL MoE backend for expert-parallel runs with EPLB disabled, set GPU memory utilization to 0.95, and cap the model length at 12288."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2534
+
+- config-keys:
+    - dsv4-fp4-gb200-dynamo-vllm-agentic-mtp-disagg
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Refresh: we're refreshing this run with the correct metrics."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2822
diff --git a/runners/launch_gb200-nv.sh b/runners/launch_gb200-nv.sh
index 9799aa3b71..c728cc09dd 100755
--- a/runners/launch_gb200-nv.sh
+++ b/runners/launch_gb200-nv.sh
@@ -420,6 +420,14 @@ elif [[ "$IS_AGENTIC" == "1" && "$MODEL_PREFIX" == "minimaxm3" && "$PRECISION" =
     mkdir -p recipes/vllm/minimax-m3/gb200-fp4/agentic
     cp -rT "$GITHUB_WORKSPACE/benchmarks/multi_node/srt-slurm-recipes/vllm/minimax-m3/gb200-fp4/agentic" \
         recipes/vllm/minimax-m3/gb200-fp4/agentic
+# Collect both nodes' DP metrics for resident DeepSeek-V4 disaggregation.
+elif [[ "$IS_AGENTIC" == "1" && "$MODEL_PREFIX" == "dsv4" && "$PRECISION" == "fp4" && "$FRAMEWORK" == "dynamo-vllm" && "$DISAGG" == "true" && "$KV_OFFLOADING" == "none" ]]; then
+    git clone --branch fix/custom-vllm-dp-metrics --single-branch https://github.com/SemiAnalysisAI/srt-slurm.git "$SRT_REPO_DIR" || exit 1
+    cd "$SRT_REPO_DIR" || exit 1
+    git checkout bde8ca8a7a14e124531085cf0d908d3907b11ad6 || exit 1
+    mkdir -p recipes/vllm/deepseek-v4/agentic
+    cp -rT "$GITHUB_WORKSPACE/benchmarks/multi_node/srt-slurm-recipes/vllm/deepseek-v4/agentic" \
+        recipes/vllm/deepseek-v4/agentic
 # These AgentX submissions use released srt-slurm custom-benchmark metrics
 # discovery so AIPerf receives every logical worker endpoint.
 elif [[ "$IS_AGENTIC" == "1" && (( "$MODEL_PREFIX" == "qwen3.5" && "$PRECISION" == "fp4" && "$FRAMEWORK" == "dynamo-sglang" ) || ( "$MODEL_PREFIX" == "dsv4" && "$PRECISION" == "fp4" && "$FRAMEWORK" == "dynamo-vllm" )) ]]; then