diff --git a/benchmarks/benchmark_lib.sh b/benchmarks/benchmark_lib.sh
index 63c46b7e8..8cc894940 100644
--- a/benchmarks/benchmark_lib.sh
+++ b/benchmarks/benchmark_lib.sh
@@ -482,6 +482,14 @@ append_command() {
     printf '\n' >> "$output_file"
 }
 
+# Persist an argv array in shell-replayable form.
+write_command() {
+    local output_file="$1"
+    shift
+    printf '%q ' "$@" | tee "$output_file"
+    printf '\n' | tee -a "$output_file"
+}
+
 # Run benchmark serving with standardized parameters
 # All parameters are required except --endpoint, --use-chat-template, --dsv4, and --trust-remote-code
 # Parameters:
diff --git a/benchmarks/single_node/agentic/qwen3.5_fp8_mi325x_mtp.sh b/benchmarks/single_node/agentic/qwen3.5_fp8_mi325x_mtp.sh
new file mode 100755
index 000000000..123e1c4ac
--- /dev/null
+++ b/benchmarks/single_node/agentic/qwen3.5_fp8_mi325x_mtp.sh
@@ -0,0 +1,151 @@
+#!/usr/bin/env bash
+set -eo pipefail
+set -x
+
+# AgentX trace replay for Qwen3.5-397B-A17B FP8 on MI325X with SGLang
+# native EAGLE/NEXTN MTP. Throughput uses the committed golden synthetic
+# acceptance length; evaluation retains real target-model verification.
+
+source "$(dirname "$0")/../../benchmark_lib.sh"
+
+export EVAL_FRAMEWORK="lm-eval"
+
+check_env_vars \
+    MODEL TP CONC EP_SIZE \
+    TOTAL_CPU_DRAM_GB RESULT_DIR DURATION
+
+SCHEDULER_RECV_INTERVAL=${SCHEDULER_RECV_INTERVAL:-30}
+
+if [[ -n "${SLURM_JOB_ID:-}" ]]; then
+    echo "JOB $SLURM_JOB_ID running on ${SLURMD_NODENAME:-unknown}"
+fi
+
+if [[ -n "${ROCR_VISIBLE_DEVICES:-}" ]]; then
+    export HIP_VISIBLE_DEVICES="$ROCR_VISIBLE_DEVICES"
+fi
+
+if [[ -n "${MODEL_PATH:-}" ]]; then
+    if [[ ! -d "$MODEL_PATH" || -z "$(ls -A "$MODEL_PATH" 2>/dev/null)" ]]; then
+        hf download "$MODEL" --local-dir "$MODEL_PATH"
+    fi
+else
+    hf download "$MODEL"
+    export MODEL_PATH="$MODEL"
+fi
+
+rocm-smi || true
+amd-smi || true
+
+export WEKA_LOADER_OVERRIDE=semianalysis_cc_traces_weka_062126_256k
+resolve_trace_source
+install_agentic_deps
+
+# This is a single aggregate SGLang engine, so one logical backend metrics
+# endpoint is authoritative. build_replay_cmd also discovers the public
+# endpoint; AIPerf deduplicates the explicit copy.
+export AIPERF_SERVER_METRICS_URLS="http://localhost:${PORT}/metrics"
+export AIPERF_REQUIRED_SERVER_METRIC_PREFIX="sglang:"
+
+SERVER_LOG="$RESULT_DIR/server.log"
+mkdir -p "$RESULT_DIR"
+
+SERVER_PID=""
+cleanup_agentic_services() {
+    local exit_code=$?
+    trap - EXIT INT TERM
+    set +e
+    stop_background_process_tree "$SERVER_PID" "SGLang server" 60
+    exit "$exit_code"
+}
+trap cleanup_agentic_services EXIT
+trap 'exit 130' INT
+trap 'exit 143' TERM
+
+PARALLEL_ARGS=(
+    --tp "$TP"
+    --dp 1
+    --ep-size "$EP_SIZE"
+)
+
+TOKENIZER_ARGS=()
+if [ "$TP" -ge 4 ]; then
+    TOKENIZER_ARGS=(--tokenizer-worker-num 6)
+fi
+
+# AgentX concurrency counts live session trees rather than HTTP requests.
+# Keep capacity for subagent fan-out while bounding graph-capture memory.
+MAX_RUNNING_REQUESTS=$((2 * CONC))
+CUDA_GRAPH_MAX_BS="$CONC"
+[ "$CUDA_GRAPH_MAX_BS" -gt 64 ] && CUDA_GRAPH_MAX_BS=64
+
+# With EAGLE enabled, SGLang reserves 15% of this budget for the draft model.
+# TP2 needs an effective 0.8075 target-model budget to fit Qwen3.5's weights,
+# hybrid state, and KV pools; TP4/TP8 retain the established 0.68 budget.
+MEM_FRACTION_STATIC=0.80
+if [ "$TP" -eq 2 ]; then
+    MEM_FRACTION_STATIC=0.95
+fi
+
+export PYTHONNOUSERSITE=1
+export AIPERF_HTTP_TCP_USER_TIMEOUT=900000
+export SGLANG_USE_AITER=1
+export SGLANG_USE_AITER_UNIFIED_ATTN=1
+export SGLANG_TIMEOUT_KEEP_ALIVE=1800
+
+# Synthetic rejection sampling is only for performance replay. The AL is the
+# committed Qwen3.5 thinking-on value for three speculative tokens. Evals use
+# real target-model verification.
+if [ "${EVAL_ONLY:-false}" != "true" ]; then
+    export SGLANG_SIMULATE_ACC_LEN=3.39
+    export SGLANG_SIMULATE_ACC_METHOD=match-expected
+    export SGLANG_SIMULATE_ACC_TOKEN_MODE=real-draft-token
+fi
+
+SGLANG_CMD=(
+    python3 -m sglang.launch_server
+    --model-path "$MODEL_PATH"
+    --served-model-name "$MODEL"
+    --host 0.0.0.0
+    --port "$PORT"
+    --trust-remote-code
+    "${PARALLEL_ARGS[@]}"
+    --attention-backend aiter
+    --quantization fp8
+    --kv-cache-dtype fp8_e4m3
+    --mamba-ssm-dtype bfloat16
+    --mem-fraction-static "$MEM_FRACTION_STATIC"
+    --model-loader-extra-config '{"enable_multithread_load": true}'
+    --watchdog-timeout 1200
+    --enable-aiter-allreduce-fusion
+    --page-size 16
+    --cuda-graph-max-bs "$CUDA_GRAPH_MAX_BS"
+    --max-running-requests "$MAX_RUNNING_REQUESTS"
+    --max-prefill-tokens 32768
+    --chunked-prefill-size 32768
+    --scheduler-recv-interval "$SCHEDULER_RECV_INTERVAL"
+    --stream-interval 50
+    "${TOKENIZER_ARGS[@]}"
+    --tokenizer-path "$MODEL"
+    --reasoning-parser qwen3
+    --tool-call-parser qwen3_coder
+    --speculative-algorithm EAGLE
+    --speculative-num-steps 3
+    --speculative-eagle-topk 1
+    --speculative-num-draft-tokens 4
+    --enable-metrics
+    --enable-cache-report
+)
+
+write_command "$RESULT_DIR/sglang_command.txt" "${SGLANG_CMD[@]}"
+"${SGLANG_CMD[@]}" > "$SERVER_LOG" 2>&1 &
+SERVER_PID=$!
+
+wait_for_server_ready --port "$PORT" --server-log "$SERVER_LOG" --server-pid "$SERVER_PID"
+
+if [ "${EVAL_ONLY:-false}" = "true" ]; then
+    run_eval --port "$PORT"
+else
+    build_replay_cmd "$RESULT_DIR"
+    REPLAY_CMD+=" --apply-chat-template"
+    run_agentic_replay_and_write_outputs "$RESULT_DIR"
+fi
diff --git a/configs/amd-master.yaml b/configs/amd-master.yaml
index b4b6b48cf..5c108a06c 100644
--- a/configs/amd-master.yaml
+++ b/configs/amd-master.yaml
@@ -228,6 +228,27 @@ qwen3.5-fp8-mi355x-sglang-agentic:
     - search-space:
       - { tp: 8, ep: 1, kv-offloading: none, conc-list: [1, 2, 4, 8, 16, 32] }
 
+# MI325X official matrix selected from the complete 62-point fast sweep. TP2
+# peaks at c4, TP4/TEP4 at c40, and TP8/TEP8 at c64; the next point beyond each
+# knee is retained to document the throughput cliff.
+qwen3.5-fp8-mi325x-sglang-agentic-mtp:
+  image: lmsysorg/sglang:v0.5.16-rocm720-mi30x
+  model: Qwen/Qwen3.5-397B-A17B-FP8
+  model-prefix: qwen3.5
+  runner: cluster:mi325x-amds
+  precision: fp8
+  framework: sglang
+  multinode: false
+  scenarios:
+    agentic-coding:
+    - dram-utilization: 0.80
+      search-space:
+      - { tp: 2, ep: 2, spec-decoding: mtp, kv-offloading: none, conc-list: [1, 4, 6] }
+      - { tp: 4, ep: 1, spec-decoding: mtp, kv-offloading: none, conc-list: [1, 8, 16, 32, 40, 48] }
+      - { tp: 4, ep: 4, spec-decoding: mtp, kv-offloading: none, conc-list: [4, 16, 32, 40, 48] }
+      - { tp: 8, ep: 1, spec-decoding: mtp, kv-offloading: none, conc-list: [1, 4, 8, 12, 16, 24, 32, 40, 48, 64, 80] }
+      - { tp: 8, ep: 8, spec-decoding: mtp, kv-offloading: none, conc-list: [4, 16, 24, 32, 40, 48, 64] }
+
 qwen3.5-fp8-mi355x-atom:
   image: rocm/atom:rocm7.2.3_ubuntu24.04_py3.12_pytorch_release_2.10.0_atom20260511
   model: Qwen/Qwen3.5-397B-A17B-FP8
diff --git a/perf-changelog.yaml b/perf-changelog.yaml
index bb655ee91..461e296aa 100644
--- a/perf-changelog.yaml
+++ b/perf-changelog.yaml
@@ -5856,3 +5856,13 @@
     - "Give the released SGLang router one hour to register the 28-minute-loading backend and route AgentX sessions by correlation ID."
     - "Bound hybrid-state pools to the measured resident and HiCache operating ranges instead of reserving capacity that cannot fit beside target and MTP weights."
   pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2568
+
+- config-keys:
+    - qwen3.5-fp8-mi325x-sglang-agentic-mtp
+  scenario-type:
+    - agentic-coding
+  description:
+    - "Add MI325X Qwen3.5 FP8 AgentX with SGLang native EAGLE MTP and golden synthetic acceptance length 3.39"
+    - "Use lmsysorg/sglang:v0.5.16-rocm720-mi30x, FP8 KV cache, AITER attention, and required SGLang Prometheus metrics"
+    - "Select a 32-point official TP2/EP2, TP4, TEP4, TP8, and TEP8 matrix from the complete 62-point fast discovery sweep"
+  pr-link: https://github.com/SemiAnalysisAI/InferenceX/pull/2566