diff --git a/inferencex-e2e/configs/amd-master.yaml b/inferencex-e2e/configs/amd-master.yaml
index 99774cd09a..ed18bec2d6 100644
--- a/inferencex-e2e/configs/amd-master.yaml
+++ b/inferencex-e2e/configs/amd-master.yaml
@@ -1197,7 +1197,7 @@ dsv41flash-fp4-mi325x-vllm-agentic-dspark:
       - { tp: 2, kv-offloading: none, spec-decoding: mtp, conc-list: [1, 2, 4, 8, 16, 32], srt-recipe: agentic.yaml }
 
 dsv4-fp4-mi355x-sglang-disagg-agentic-umbp-dspark:
-  image: lmsysorg/sglang-rocm:v0.5.22-rocm720-mi35x-20261019
+  image: lmsysorg/sglang-rocm:v0.5.22-rocm10-mi35x-20261026
   model: deepseek-ai/DeepSeek-V4-Pro-0813
   model-prefix: dsv4
   runner: cluster:mi355x-amds
diff --git a/inferencex-e2e/perf-changelog.yaml b/inferencex-e2e/perf-changelog.yaml
index b4cbda3afc..907bd21213 100644
--- a/inferencex-e2e/perf-changelog.yaml
+++ b/inferencex-e2e/perf-changelog.yaml
@@ -11480,3 +11480,12 @@
     - "Update the Muse Spark Open B300 curve to lmsysorg/sglang:nightly-dev-20261021-c1c287a4 and set SGLANG_FLASHINFER_NVFP4_PER_TOKEN_ACTIVATION=0 at every concurrency; run TP8/EP8 at concurrency 1, 4, 8, 10, 14, 16, 20, 24 and TP4/EP4 HiCache at concurrency 16, 28, 32, 40, 44, 48."
     - "Use shortest-prefill-first at TP8 concurrency 10-24, stream interval 20 at TP8 concurrency 4, 20, 24 and TP4 concurrency 28-48, SGLANG_TRTLLM_MHA_DECODE_SEQ_LEN_SPLITS=4 at TP4 concurrency 40-48, and at concurrency 44 and 48 request admission 24 and 26 with FCFS, no prefill-decode interval, HiCache write_back and SWA/full ratio 0.1."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4417
+
+- config-keys:
+    - dsv4-fp4-mi355x-sglang-disagg-agentic-umbp-dspark
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Update the MI355X DeepSeek-V4-Pro-0813 SGLang MoRI disaggregated AgentX serving image from lmsysorg/sglang-rocm:v0.5.22-rocm720-mi35x-20261019 to lmsysorg/sglang-rocm:v0.5.22-rocm10-mi35x-20261026, the latest published MI35x ROCm 10 nightly (digest sha256:edabad83728ab04e3eae39f315eb16261eeb64dbdb051112bd22fc88560b60c4)."
+    - "Preserve all eight concurrency points (1, 16, 32, 48, 192, 256, 384, 512), prefill/decode topology, DSpark settings, UMBP offload, MoRI transfer, and benchmark client image. The workload binder supplies the serving image to every selected recipe variant."
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/4571