diff --git a/README.md b/README.md
index 5208d010..9dc4ae5b 100644
--- a/README.md
+++ b/README.md
@@ -39,7 +39,8 @@ per-request Context limit.
 | GLM-5.3 Flash NVFP4-Spark · native MTP3, switched | [Shared SparkRing source image](runtime/sparkring/source_image/README.md) | Operator-selected NCCL links | TP4/DCP1 | 1M | 16 | — | [Switched quickstart](docs/GLM53_SWITCHED_TP4_QUICKSTART.md) |
 | GLM-5.2 EXL3 3.5-bpw | [SparkRing vLLM/ExLlamaV3 build](runtime/exl3-r7/README.md) | [SIRCL + NCCL](docs/SIRCL.md) | TP4/DCP4 | 1M | 16 | ~1.2M | [Quickstart](docs/GLM52_35BPW_QUICKSTART.md) |
 | DeepSeek-V4-Flash-0731 | [SparkRing vLLM/B12X image](runtime/deepseek0731-gb10/README.md) | [Patched NCCL](spark_transport/nccl/README.md) | TP4/DCP1 | 1M | 32 | ~1M | [Quickstart](docs/DEEPSEEK_V4_FLASH_QUICKSTART.md) |
-| DeepSeek-V4.1-Flash · Engram on NVMe · DSpark k=5 | [Self-built stock vLLM `dsv41-feat` image](runtime/deepseek-v41-gb10/README.md) | [Patched NCCL](spark_transport/nccl/README.md) | TP4/DCP1 | 430,080 | 8 | ~2.18M | [Quickstart](docs/DEEPSEEK_V41_FLASH_QUICKSTART.md) |
+| DeepSeek-V4.1-Flash · SGLang decoder-tail replay | [Source-pinned SGLang image](runtime/deepseek-v41-sglang/README.md) | [Patched NCCL](spark_transport/nccl/README.md), in-place library mount | TP4/EP4 | 262,144 | 8 | ~1.50M | [Operator guide](runtime/deepseek-v41-sglang/README.md) |
+| DeepSeek-V4.1-Flash · vLLM fallback · DSpark k=5 | [Self-built stock vLLM `dsv41-feat` image](runtime/deepseek-v41-gb10/README.md) | [Patched NCCL](spark_transport/nccl/README.md) | TP4/DCP1 | 430,080 | 8 | ~2.18M | [Quickstart](docs/DEEPSEEK_V41_FLASH_QUICKSTART.md) |
 | Qwen3.8-27B EXL3 K5/K6 | [SparkRing vLLM/ExLlamaV3 build](runtime/qwen38/README.md) | [Patched NCCL](spark_transport/nccl/README.md) | TP4/DCP1 | 1M | 64 | — | [Quickstart](docs/QWEN38_27B_EXL3_K5K6_QUICKSTART.md) |
 | DeepSeek-V4-Flash-Vision-Exp with DSpark (research-only) | [Anemll image / MiaAI-Lab recipe](runtime/deepseek-vision-exp/profile.json) | [SparkRing patched NCCL](spark_transport/nccl/README.md) | TP4 | 1M | 48 | — | [Quickstart](docs/DEEPSEEK_V4_FLASH_VISION_EXP_TP4_QUICKSTART.md) |
 
diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md
index c9e25320..d2ca52f8 100644
--- a/THIRD_PARTY_NOTICES.md
+++ b/THIRD_PARTY_NOTICES.md
@@ -418,3 +418,15 @@ with its pinned CUTLASS, CCCL and spdlog submodules. No FlashInfer source is inc
 `deepseek-ai/DeepSeek-V4.1-Flash` is distributed by DeepSeek under the MIT License. No weights or
 model files are included; operators fetch the checkpoint themselves.
 
+
+### 16. Mia DeepSeek V4.1 SGLang adapter (external build input)
+
+`runtime/deepseek-v41-sglang/build-image.sh` clones
+[MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks](https://github.com/MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks)
+at commit `e59e6eb67479aa68f6fa700c600dc90a0729b5ec` (AGPL-3.0). The adapter,
+`boot.py`, row store, and Engram packer remain in that external repository and
+the operator-built image; none of those files are vendored here. The external
+Dockerfile also carries SGLang's Apache-2.0 FlashMLA wrapper. SparkRing's auth
+patch targets the Apache-2.0 SGLang auth module in the pinned base image and
+preserves its surrounding source. Operators retain the external components'
+licenses and notices with their builds.
diff --git a/docs/DEEPSEEK_V41_FLASH_QUICKSTART.md b/docs/DEEPSEEK_V41_FLASH_QUICKSTART.md
index 6eec8595..7e1d9c3d 100644
--- a/docs/DEEPSEEK_V41_FLASH_QUICKSTART.md
+++ b/docs/DEEPSEEK_V41_FLASH_QUICKSTART.md
@@ -1,5 +1,10 @@
 # DeepSeek-V4.1-Flash four-Spark cycle quickstart
 
+The [SGLang cycle runtime](../runtime/deepseek-v41-sglang/README.md) adds
+decoder-tail prefill and file-backed multi-key authentication. Its broader
+deployment qualification is still in progress. This page documents the vLLM
+fallback and its existing measured settings.
+
 Serve `deepseek-ai/DeepSeek-V4.1-Flash` (the stock checkpoint) as four tensor-parallel
 ranks on a directly cabled four-Spark cycle, with the model's two Engram lookup tables
 left on each rank's NVMe.
diff --git a/docs/profiles/DEEPSEEK_V41_FLASH.md b/docs/profiles/DEEPSEEK_V41_FLASH.md
index c4c3be04..37df1020 100644
--- a/docs/profiles/DEEPSEEK_V41_FLASH.md
+++ b/docs/profiles/DEEPSEEK_V41_FLASH.md
@@ -1,5 +1,9 @@
 # DeepSeek-V4.1-Flash four-Spark cycle profile
 
+See the [SGLang cycle runtime](../../runtime/deepseek-v41-sglang/README.md) and
+[controlled decoder-replay comparison](../../performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md)
+for the SGLang profile. The measurements below belong to the vLLM fallback.
+
 ## Status
 
 **Implemented and live-benchmarked on one private four-Spark cycle; not qualified.** The image
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md
new file mode 100644
index 00000000..ad75b71f
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md
@@ -0,0 +1,89 @@
+# SGLang decoder-tail replay on a four-Spark cycle
+
+Status: **implemented**. This controlled comparison attributes the measured
+prefill improvement to decoder-tail replay. It does not qualify a larger
+context setting or unattended production deployment.
+
+## Conditions
+
+Four GB10 DGX Sparks, directly cabled as a four-node cycle, TP4/EP4, local NVMe
+checkpoint `deepseek-ai/DeepSeek-V4.1-Flash` at
+`dba1be0a40aa45a94ad051997016db3960a90277`, SparkRing patched NCCL 2.30.7 mounted
+in place over SGLang's pip NCCL. Both arms used the same locally built image,
+Mia commit `e59e6eb67479aa68f6fa700c600dc90a0729b5ec`, image ID
+`sha256:4252984d1cd642a51bd0cde06665a4f6a73726141dec760392a73cf968bce744`.
+The source/base identity is recorded in the [runtime pins](../../../runtime/deepseek-v41-sglang/pins.json).
+
+The four ranks were rebooted before each arm. Context 262144, prefill chunk
+4096, maximum eight requests, memory fraction 0.90, requested total-token pool
+1500000, DSpark block five without SPS/STS tables, b12x MXFP8 backend, MoE fused
+finalize disabled, expandable segments disabled, Engram NVMe packed layout,
+96 I/O threads and zero GiB row cache. Only the decoder replay flag differed.
+
+## Measurement
+
+Client wall-clock prompt throughput is server-reported prompt tokens divided
+by request wall time for a one-token response. Target prompt sizes are labels;
+actual token counts are recorded in the raw samples. Decode uses fixed-length
+256-token generation at C1 and C4. The prompt distribution and decode timing
+are separate from the multi-category vLLM benchmark; do not compare their
+absolute rates as though the workloads were identical.
+
+There was one observation per size/concurrency in each arm. A warm-up request
+preceded the ladder, but the first nominal 16K prefill still included additional
+initialization and is retained without being represented as steady-state
+performance. There is no repeated-run confidence interval. Quality capture
+used 20 fixed prompts, including four roughly 12–15K prompts, first-token top-20
+log probabilities, and 48-token greedy continuations. Truncated-distribution
+KL is a diagnostic, not a full-vocabulary divergence measure.
+
+Raw observations: [replay-off prefill](sglang-decoder-replay-20260911/prefill-sgl-replay0.json),
+[replay-on prefill](sglang-decoder-replay-20260911/prefill-sgl-replay1.json),
+[replay-off decode](sglang-decoder-replay-20260911/decode-sgl-replay0.json),
+[replay-on decode](sglang-decoder-replay-20260911/decode-sgl-replay1.json),
+[off quality](sglang-decoder-replay-20260911/sgl-replay0.json),
+[on quality](sglang-decoder-replay-20260911/sgl-replay1.json),
+[off needle](sglang-decoder-replay-20260911/needle-sgl-replay0.json), and
+[on needle](sglang-decoder-replay-20260911/needle-sgl-replay1.json).
+Endpoint addresses are sanitized; numerical observations are retained.
+
+## Result
+
+| Measurement | Replay off | Replay on |
+|---|---:|---:|
+| Nominal 64K prefill, tok/s | 2006 | 3144 |
+| Roughly 131K needle prefill, tok/s | 1861 | 2934 |
+| Needle TTFT, seconds | 70.0 | 44.4 |
+| C1 decode aggregate, tok/s | 35.4 | 37.4 |
+| C4 decode aggregate, tok/s | 80.5 | 76.3 |
+
+Both needle requests returned the exact passphrase. All 20 first-token choices
+and all 20 greedy continuations matched. Top-20 diagnostic KL mean was 0.006,
+maximum 0.12. These are the handoff's rounded summaries; raw quality distributions
+are retained for independent recomputation.
+
+## Conclusion
+
+Enabling decoder-tail replay increased nominal 64K prefill throughput by about
+57% in this comparison. With replay disabled, SGLang prefill was near the
+separately measured vLLM implementation's approximately 2K tok/s. The matched
+SGLang comparison isolates the replay flag; it does not attribute this gain to
+two-batch overlap or generic engine scheduling.
+
+The optimization retains all rows through layer 20, then executes layers 21–39
+on the final 128 extend tokens per request. For a full 4096-token chunk, the
+layer-token row count falls from 163840 to 88448, approximately 54% of the full
+path. This is a work-count illustration, not a FLOP or measured communication
+ratio. Smaller late-layer tensors reduce computation and collective payload.
+
+## Limitations
+
+The shortcut retains global KV/indexer memory but changes late-layer local SWA
+visibility. A finite matching prompt set does not prove mathematical equivalence
+to full prefill. Prompt-token log probabilities and arbitrary full-prompt hidden
+state capture are not supported by the shortcut. The A/B does not cover mixed
+batches, exact tail/chunk-boundary placement, sampled decoding, vision/tools,
+400K retrieval, or long soaks. Those gates belong to the ongoing deployment
+qualification and are not implied by this result. No communication profile was
+captured in this experiment. Absolute results apply to this image, hardware,
+transport, and workload only.
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay0.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay0.json
new file mode 100644
index 00000000..f0affe76
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay0.json
@@ -0,0 +1,54 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "mode": "decode",
+  "label": "sgl-replay0",
+  "gen": 256,
+  "thinking": false,
+  "started": "2026-09-11T18:49:19Z",
+  "samples": [
+    {
+      "c": 1,
+      "wall": 7.234400033950806,
+      "completion_tokens": 256,
+      "prompt_tokens": 248,
+      "agg_tok_s": 35.386486619291205,
+      "per_session_tok_s": 36.88715282912961,
+      "ttft_p50": 0.29383206367492676,
+      "ttft_max": 0.29383206367492676,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 7.233917713165283,
+      "run": 0
+    },
+    {
+      "c": 4,
+      "wall": 12.71714186668396,
+      "completion_tokens": 1024,
+      "prompt_tokens": 1056,
+      "agg_tok_s": 80.5212374553003,
+      "per_session_tok_s": 21.858063466301363,
+      "ttft_p50": 0.6920806169509888,
+      "ttft_max": 0.6926991939544678,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 12.71572470664978,
+      "run": 0
+    }
+  ],
+  "finished": "2026-09-11T18:49:39Z"
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay1.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay1.json
new file mode 100644
index 00000000..ab85d0fc
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/decode-sgl-replay1.json
@@ -0,0 +1,54 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "mode": "decode",
+  "label": "sgl-replay1",
+  "gen": 256,
+  "thinking": false,
+  "started": "2026-09-11T18:35:54Z",
+  "samples": [
+    {
+      "c": 1,
+      "wall": 6.840591192245483,
+      "completion_tokens": 256,
+      "prompt_tokens": 263,
+      "agg_tok_s": 37.423665996910096,
+      "per_session_tok_s": 38.92745617985822,
+      "ttft_p50": 0.26373791694641113,
+      "ttft_max": 0.26373791694641113,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 6.840073108673096,
+      "run": 0
+    },
+    {
+      "c": 4,
+      "wall": 13.420984506607056,
+      "completion_tokens": 1024,
+      "prompt_tokens": 1052,
+      "agg_tok_s": 76.29842650484338,
+      "per_session_tok_s": 21.759539600812793,
+      "ttft_p50": 1.1422911882400513,
+      "ttft_max": 1.1427288055419922,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 13.420344352722168,
+      "run": 0
+    }
+  ],
+  "finished": "2026-09-11T18:36:14Z"
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay0.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay0.json
new file mode 100644
index 00000000..0bf24a5a
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay0.json
@@ -0,0 +1,9 @@
+{
+  "target": 131072,
+  "prompt_tokens": 130258,
+  "depth": 0.5,
+  "ttft_s": 70.0,
+  "prefill_tok_s": 1860.9,
+  "answer": "COPPER-LANTERN-8315",
+  "pass": true
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay1.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay1.json
new file mode 100644
index 00000000..e8d9689c
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/needle-sgl-replay1.json
@@ -0,0 +1,9 @@
+{
+  "target": 131072,
+  "prompt_tokens": 130258,
+  "depth": 0.5,
+  "ttft_s": 44.4,
+  "prefill_tok_s": 2933.5,
+  "answer": "COPPER-LANTERN-8315",
+  "pass": true
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay0.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay0.json
new file mode 100644
index 00000000..9ae5f705
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay0.json
@@ -0,0 +1,58 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "mode": "prefill",
+  "label": "sgl-replay0",
+  "gen": 256,
+  "thinking": false,
+  "started": "2026-09-11T18:48:37Z",
+  "samples": [
+    {
+      "c": 1,
+      "wall": 12.965696096420288,
+      "completion_tokens": 1,
+      "prompt_tokens": 14763,
+      "agg_tok_s": 0.07712659563847798,
+      "per_session_tok_s": 1000000.0,
+      "ttft_p50": 12.964907169342041,
+      "ttft_max": 12.964907169342041,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 12.964907169342041,
+      "run": 0,
+      "target": 16384,
+      "prefill_tok_s": 1138.6199314108505
+    },
+    {
+      "c": 1,
+      "wall": 29.41055202484131,
+      "completion_tokens": 1,
+      "prompt_tokens": 59007,
+      "agg_tok_s": 0.03400140191708611,
+      "per_session_tok_s": 1000000.0,
+      "ttft_p50": 29.40910029411316,
+      "ttft_max": 29.40910029411316,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 29.40910029411316,
+      "run": 0,
+      "target": 65536,
+      "prefill_tok_s": 2006.3207229215
+    }
+  ],
+  "finished": "2026-09-11T18:49:19Z"
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay1.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay1.json
new file mode 100644
index 00000000..95d34404
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/prefill-sgl-replay1.json
@@ -0,0 +1,58 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "mode": "prefill",
+  "label": "sgl-replay1",
+  "gen": 256,
+  "thinking": false,
+  "started": "2026-09-11T18:35:24Z",
+  "samples": [
+    {
+      "c": 1,
+      "wall": 10.706095218658447,
+      "completion_tokens": 1,
+      "prompt_tokens": 14758,
+      "agg_tok_s": 0.09340473623447816,
+      "per_session_tok_s": 1000000.0,
+      "ttft_p50": 10.70548939704895,
+      "ttft_max": 10.70548939704895,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 10.70548939704895,
+      "run": 0,
+      "target": 16384,
+      "prefill_tok_s": 1378.4670973484285
+    },
+    {
+      "c": 1,
+      "wall": 18.76260209083557,
+      "completion_tokens": 1,
+      "prompt_tokens": 58999,
+      "agg_tok_s": 0.053297511462359545,
+      "per_session_tok_s": 1000000.0,
+      "ttft_p50": 18.761067152023315,
+      "ttft_max": 18.761067152023315,
+      "steps_s": 0.0,
+      "acceptance": null,
+      "tok_per_step": null,
+      "preemptions": 0,
+      "errors": 0,
+      "finish": [
+        "length"
+      ],
+      "err_samples": [],
+      "max_wall": 18.761067152023315,
+      "run": 0,
+      "target": 65536,
+      "prefill_tok_s": 3144.4998787677505
+    }
+  ],
+  "finished": "2026-09-11T18:35:54Z"
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay0.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay0.json
new file mode 100644
index 00000000..2f1c83e5
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay0.json
@@ -0,0 +1,587 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "long": true,
+  "results": [
+    {
+      "i": 0,
+      "prompt_tokens": 38,
+      "first": "```",
+      "top": {
+        "```": -0.03276176005601883,
+        "import": -3.532761812210083,
+        "from": -6.032761573791504,
+        "def": -7.407761573791504,
+        "REG": -14.782761573791504,
+        "Here": -15.032761573791504,
+        "\n": -15.782761573791504,
+        "#!/": -15.782761573791504,
+        "#": -15.907761573791504,
+        "MON": -16.53276252746582,
+        "SEC": -16.90776252746582,
+        ">>>": -17.15776252746582,
+        "\"\"\"": -17.40776252746582,
+        "ISO": -17.65776252746582,
+        "^": -18.03276252746582,
+        "I": -18.15776252746582,
+        "<<": -18.15776252746582,
+        "_": -18.40776252746582,
+        "|": -18.53276252746582,
+        "0": -18.65776252746582
+      },
+      "cont": "```python\nimport re\n\ndef parse_iso8601_duration(duration):\n    pattern = re.compile(\n        r'^P'\n        r'(?:(\\d+(?:\\.\\d+)?)Y)?'\n        r",
+      "ttft_s": 0.26
+    },
+    {
+      "i": 1,
+      "prompt_tokens": 21,
+      "first": "{\"",
+      "top": {
+        "{\"": -0.0016210046596825123,
+        "```": -7.001620769500732,
+        "{\n": -7.251620769500732,
+        "{": -15.62662124633789,
+        " {\"": -16.62662124633789,
+        "```\n": -20.50162124633789,
+        "Here": -20.62662124633789,
+        "({\"": -20.87662124633789,
+        " {\n": -20.87662124633789,
+        "json": -21.12662124633789,
+        "{{": -21.37662124633789,
+        " ```": -21.62662124633789,
+        "\ufeff": -21.62662124633789,
+        "\n": -21.62662124633789,
+        "import": -21.75162124633789,
+        "{'": -22.00162124633789,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -22.00162124633789,
+        "The": -22.00162124633789,
+        "[": -22.12662124633789,
+        "{\\": -22.25162124633789
+      },
+      "cont": "{\"name\":\"Japan\",\"population\":123900000,\"currency\":\"Japanese yen\"}",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 2,
+      "prompt_tokens": 14,
+      "first": "Sun",
+      "top": {
+        "Sun": -0.07924772053956985,
+        "The": -2.5792477130889893,
+        "Ray": -8.45424747467041,
+        "When": -9.32924747467041,
+        " Sun": -10.82924747467041,
+        "G": -11.70424747467041,
+        "Short": -11.70424747467041,
+        "**": -12.32924747467041,
+        "Blue": -12.57924747467041,
+        "Sh": -12.57924747467041,
+        "M": -12.95424747467041,
+        "Light": -13.45424747467041,
+        "Air": -14.45424747467041,
+        "Small": -14.57924747467041,
+        "As": -14.70424747467041,
+        " sunlight": -14.95424747467041,
+        "Sky": -15.07924747467041,
+        "This": -15.20424747467041,
+        " The": -15.32924747467041,
+        "Here": -15.45424747467041
+      },
+      "cont": "Sunlight contains all colors, but air molecules scatter short-wavelength blue light much more strongly than red light (Rayleigh scattering). When you look at the sky, you see this scattered blue light coming from all directions rather than the direct light",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 3,
+      "prompt_tokens": 18,
+      "first": "391",
+      "top": {
+        "391": -0.00038675934774801135,
+        "17": -7.875386714935303,
+        "Let": -13.625387191772461,
+        "392": -13.875387191772461,
+        "731": -14.500387191772461,
+        "431": -14.625387191772461,
+        "371": -14.875387191772461,
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+        "491": -15.875387191772461,
+        "396": -16.00038719177246,
+        "291": -16.12538719177246,
+        "361": -16.12538719177246,
+        "399": -16.37538719177246,
+        "39": -16.37538719177246,
+        "791": -16.50038719177246,
+        "394": -16.50038719177246,
+        "397": -16.62538719177246,
+        "991": -16.75038719177246,
+        "388": -16.87538719177246
+      },
+      "cont": "391",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 4,
+      "prompt_tokens": 18,
+      "first": "Le",
+      "top": {
+        "Le": -0.00013457823661156,
+        "'": -9.000134468078613,
+        "\u00ab": -11.500134468078613,
+        "\"": -14.750134468078613,
+        "La": -15.125134468078613,
+        " Le": -15.875134468078613,
+        "'The": -16.75013542175293,
+        "The": -17.25013542175293,
+        "\u00bb": -18.00013542175293,
+        "**": -18.25013542175293,
+        "Vo": -18.37513542175293,
+        "*": -18.62513542175293,
+        "'S": -19.12513542175293,
+        "Les": -19.12513542175293,
+        "L": -19.37513542175293,
+        "-Le": -19.75013542175293,
+        "`": -20.00013542175293,
+        "le": -20.00013542175293,
+        "Un": -20.12513542175293,
+        "Gard": -20.37513542175293
+      },
+      "cont": "Le gardien du phare regardait la temp\u00eate arriver.",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 5,
+      "prompt_tokens": 14,
+      "first": "2",
+      "top": {
+        "2": -0.38751697540283203,
+        "The": -1.137516975402832,
+        "Here": -8.387516975402832,
+        "Let": -8.637516975402832,
+        "1": -9.387516975402832,
+        "Alright": -9.512516975402832,
+        "Okay": -11.262516975402832,
+        "First": -11.387516975402832,
+        "I": -11.512516975402832,
+        "Of": -11.637516975402832,
+        "7": -12.387516975402832,
+        "Hello": -12.512516975402832,
+        "We": -12.637516975402832,
+        "To": -12.637516975402832,
+        "3": -13.262516975402832,
+        "A": -13.387516975402832,
+        "Prime": -13.512516975402832,
+        "You": -13.637516975402832,
+        "Just": -13.637516975402832,
+        "Sure": -13.637516975402832
+      },
+      "cont": "2, 3, 5, 7, 11, 13, 17, 19, 23, 29",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 6,
+      "prompt_tokens": 13,
+      "first": "A",
+      "top": {
+        "A": -0.6519076824188232,
+        "Green": -1.1519076824188232,
+        "Co": -1.9019076824188232,
+        "Old": -4.776907920837402,
+        "Fire": -6.651907920837402,
+        "W": -7.276907920837402,
+        "The": -7.651907920837402,
+        "Soft": -7.776907920837402,
+        "Pat": -7.776907920837402,
+        "Cold": -8.276907920837402,
+        "Ham": -8.276907920837402,
+        "From": -8.526907920837402,
+        "Ox": -8.651907920837402,
+        "Forg": -8.651907920837402,
+        " Copper": -9.151907920837402,
+        "We": -9.526907920837402,
+        "Burn": -9.651907920837402,
+        "Age": -9.776907920837402,
+        "Black": -10.151907920837402,
+        "D": -10.276907920837402
+      },
+      "cont": "Aged copper lantern,\nHolds a soft and steady glow,\nWarm against the night.",
+      "ttft_s": 0.21
+    },
+    {
+      "i": 7,
+      "prompt_tokens": 35,
+      "first": "C",
+      "top": {
+        "C": -7.772143726469949e-05,
+        "c": -9.750077247619629,
+        "W": -11.000077247619629,
+        "w": -14.125077247619629,
+        "**": -14.750077247619629,
+        "The": -14.875077247619629,
+        "Os": -15.250077247619629,
+        " Cairo": -15.375077247619629,
+        "L": -15.625077247619629,
+        "\u0421": -16.500078201293945,
+        "CA": -16.875078201293945,
+        "Since": -17.750078201293945,
+        "M": -17.750078201293945,
+        "City": -17.750078201293945,
+        "Yes": -17.875078201293945,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -18.000078201293945,
+        "31": -18.000078201293945,
+        "Paris": -18.125078201293945,
+        "T": -18.250078201293945,
+        "A": -18.250078201293945
+      },
+      "cont": "Cairo",
+      "ttft_s": 0.26
+    },
+    {
+      "i": 8,
+      "prompt_tokens": 16,
+      "first": "#",
+      "top": {
+        "#": -0.12488572299480438,
+        "The": -2.4998857975006104,
+        "Here": -3.3748857975006104,
+        "```": -6.999885559082031,
+        "There": -10.249885559082031,
+        "Fixed": -10.749885559082031,
+        "I": -10.749885559082031,
+        " #": -11.499885559082031,
+        "This": -11.874885559082031,
+        "`": -11.874885559082031,
+        "**": -11.874885559082031,
+        "Looking": -11.999885559082031,
+        "##": -11.999885559082031,
+        "That": -12.624885559082031,
+        "<": -12.749885559082031,
+        "def": -12.874885559082031,
+        "Found": -12.874885559082031,
+        "You": -12.999885559082031,
+        "Let": -13.249885559082031,
+        "It": -13.249885559082031
+      },
+      "cont": "# Bug Fix\n\nThe function is supposed to **add** two numbers, but it's using the subtraction operator (`-`) instead of the addition operator (`+`).\n\n## Fixed Code\n\n```python\ndef add(a, b):\n   ",
+      "ttft_s": 0.24
+    },
+    {
+      "i": 9,
+      "prompt_tokens": 17,
+      "first": "A",
+      "top": {
+        "A": -0.0016189813613891602,
+        "I": -6.5016188621521,
+        "The": -9.376619338989258,
+        "An": -11.626619338989258,
+        "\"I": -12.501619338989258,
+        "H": -12.626619338989258,
+        "In": -13.001619338989258,
+        "*": -13.251619338989258,
+        "#": -13.376619338989258,
+        "Determ": -13.501619338989258,
+        "Ich": -13.626619338989258,
+        "As": -14.376619338989258,
+        "Captain": -14.626619338989258,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -14.626619338989258,
+        "**": -14.626619338989258,
+        " A": -14.626619338989258,
+        "Despite": -14.626619338989258,
+        "a": -14.751619338989258,
+        "With": -14.751619338989258,
+        "*A": -14.751619338989258
+      },
+      "cont": "A young sailor named Ishmael joins the whaling ship Pequod, whose captain, Ahab, is consumed by a obsessive quest for revenge against the white whale Moby Dick that took his leg, leading to the destruction of the",
+      "ttft_s": 0.26
+    },
+    {
+      "i": 10,
+      "prompt_tokens": 33,
+      "first": "#",
+      "top": {
+        "#": -0.22785161435604095,
+        "```": -1.9778516292572021,
+        "Here": -2.727851629257202,
+        "##": -10.977851867675781,
+        "``": -12.477851867675781,
+        " Here": -13.727851867675781,
+        " #": -13.852851867675781,
+        "###": -13.977851867675781,
+        "I": -14.102851867675781,
+        "SELECT": -14.102851867675781,
+        "This": -14.227851867675781,
+        "SQL": -14.602851867675781,
+        "**": -14.602851867675781,
+        "```\n": -14.727851867675781,
+        "To": -14.727851867675781,
+        " ```": -14.977851867675781,
+        "There": -14.977851867675781,
+        "`": -15.227851867675781,
+        "Let": -15.227851867675781,
+        "here": -15.352851867675781
+      },
+      "cont": "# Top 5 Customers by Total Order Value\n\n```sql\nSELECT\n    c.id,\n    c.name,\n    SUM(o.amount) AS total_order_value\nFROM customers c\nJOIN orders o ON o.customer_id =",
+      "ttft_s": 0.25
+    },
+    {
+      "i": 11,
+      "prompt_tokens": 30,
+      "first": "Let",
+      "top": {
+        "Let": -0.11893303692340851,
+        "Alright": -2.3689329624176025,
+        "The": -4.493933200836182,
+        "We": -5.368933200836182,
+        "This": -6.118933200836182,
+        "Okay": -8.493932723999023,
+        "First": -9.243932723999023,
+        "These": -9.868932723999023,
+        "Looking": -10.243932723999023,
+        "Here": -10.743932723999023,
+        "To": -11.118932723999023,
+        "Sure": -11.368932723999023,
+        "You": -11.493932723999023,
+        "H": -11.868932723999023,
+        "From": -12.243932723999023,
+        "Step": -12.368932723999023,
+        "Ok": -12.493932723999023,
+        "So": -12.743932723999023,
+        "1": -12.743932723999023,
+        "**": -12.993932723999023
+      },
+      "cont": "Let's look at the differences between the terms:\n\n- 6 \u2212 2 = 4  \n- 12 \u2212 6 = 6  \n- 20 \u2212 12 = 8  \n- 30 \u2212 20 = ",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 12,
+      "prompt_tokens": 18,
+      "first": "`",
+      "top": {
+        "`": -0.4805302619934082,
+        "```\n": -1.2305302619934082,
+        "^(": -2.730530261993408,
+        "^": -4.230530261993408,
+        "```": -5.105530261993408,
+        "Here": -6.605530261993408,
+        "/": -7.230530261993408,
+        "\\": -7.480530261993408,
+        "((": -7.730530261993408,
+        "**": -7.980530261993408,
+        "#": -9.85552978515625,
+        "/\\": -10.73052978515625,
+        "/(": -11.48052978515625,
+        "``": -11.73052978515625,
+        "(?": -11.73052978515625,
+        " `": -11.85552978515625,
+        "\\\n": -11.85552978515625,
+        "`\n": -11.85552978515625,
+        "**(": -12.35552978515625,
+        "You": -12.48052978515625
+      },
+      "cont": "`^(?:(?:25[0-5]|2[0-4]\\d|1\\d{2}|[1-9]?\\d)\\.){3}(?:25[0-5]|2[0",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 13,
+      "prompt_tokens": 21,
+      "first": "A",
+      "top": {
+        "A": -0.6178566813468933,
+        "Unlike": -1.367856740951538,
+        "Full": -1.617856740951538,
+        "Whereas": -5.367856502532959,
+        "In": -6.117856502532959,
+        "Sl": -6.867856502532959,
+        "While": -11.617856979370117,
+        "#": -12.742856979370117,
+        "full": -12.992856979370117,
+        "**": -13.492856979370117,
+        " Unlike": -14.992856979370117,
+        "The": -14.992856979370117,
+        "Standard": -15.242856979370117,
+        "\n\n": -15.367856979370117,
+        "Rather": -15.992856979370117,
+        " Full": -16.117856979370117,
+        "Instead": -16.242856979370117,
+        "\u6ed1\u52a8": -16.367856979370117,
+        "To": -16.617856979370117,
+        "\n": -16.742856979370117
+      },
+      "cont": "A sliding-window attention layer differs from full attention in that each token attends only to a fixed-size local neighborhood of nearby tokens (e.g., the previous *w* and next *w* tokens) rather than to every token in the",
+      "ttft_s": 0.24
+    },
+    {
+      "i": 14,
+      "prompt_tokens": 16,
+      "first": "45",
+      "top": {
+        "45": -0.00016020445036701858,
+        "0": -10.375160217285156,
+        "2": -10.750160217285156,
+        "4": -11.625160217285156,
+        "453": -11.875160217285156,
+        "1": -11.875160217285156,
+        "29": -12.000160217285156,
+        "32": -12.125160217285156,
+        "101": -12.375160217285156,
+        "452": -12.375160217285156,
+        "Let": -12.375160217285156,
+        "To": -12.500160217285156,
+        "46": -12.625160217285156,
+        "5": -12.875160217285156,
+        "454": -13.000160217285156,
+        "The": -13.125160217285156,
+        "37": -13.125160217285156,
+        "455": -13.375160217285156,
+        "64": -13.625160217285156,
+        "44": -13.625160217285156
+      },
+      "cont": "45",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 15,
+      "prompt_tokens": 23,
+      "first": "```",
+      "top": {
+        "```": -0.47528523206710815,
+        "#": -1.225285291671753,
+        "Here": -2.600285291671753,
+        "`": -4.975285053253174,
+        "**": -6.225285053253174,
+        "awk": -7.725285053253174,
+        "```\n": -8.475285530090332,
+        "##": -8.975285530090332,
+        "Use": -8.975285530090332,
+        "   ": -9.350285530090332,
+        "You": -9.475285530090332,
+        "``": -9.600285530090332,
+        "Assuming": -9.975285530090332,
+        "This": -10.600285530090332,
+        "Sure": -10.850285530090332,
+        "Using": -10.975285530090332,
+        "To": -11.100285530090332,
+        "<!--": -11.100285530090332,
+        "Two": -11.225285530090332,
+        "The": -11.350285530090332
+      },
+      "cont": "```bash\nawk '{print $1}' access.log | sort -u | wc -l\n```\n\nOr, if you want to count occurrences per IP (sorted by frequency):\n\n```bash\nawk '{print $1}' access.log",
+      "ttft_s": 0.25
+    },
+    {
+      "i": 16,
+      "prompt_tokens": 11620,
+      "first": "CO",
+      "top": {
+        "CO": -2.50339189733495e-06,
+        "The": -14.00000286102295,
+        "co": -14.62500286102295,
+        "Based": -15.00000286102295,
+        "COP": -15.12500286102295,
+        "river": -15.87500286102295,
+        "C": -16.500001907348633,
+        "COMP": -16.750001907348633,
+        "CP": -16.750001907348633,
+        "Co": -17.250001907348633,
+        "831": -17.875001907348633,
+        "S": -18.000001907348633,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -18.125001907348633,
+        "COR": -18.375001907348633,
+        "the": -18.500001907348633,
+        "P": -18.625001907348633,
+        "811": -18.625001907348633,
+        "717": -18.750001907348633,
+        "CH": -18.875001907348633,
+        "K": -19.000001907348633
+      },
+      "cont": "COPPER-LANTERN-8315",
+      "ttft_s": 5.45
+    },
+    {
+      "i": 17,
+      "prompt_tokens": 13516,
+      "first": "249",
+      "top": {
+        "249": -0.2319294810295105,
+        "251": -2.8569295406341553,
+        "248": -3.1069295406341553,
+        "250": -3.7319295406341553,
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+        "f": -4.606929302215576,
+        "149": -5.106929302215576,
+        "2": -5.606929302215576,
+        "123": -5.606929302215576,
+        "Let": -5.731929302215576,
+        "247": -5.981929302215576,
+        "128": -5.981929302215576,
+        "152": -6.606929302215576,
+        "150": -6.731929302215576,
+        "151": -6.731929302215576,
+        "125": -6.731929302215576,
+        "253": -6.856929302215576,
+        "127": -6.981929302215576,
+        "129": -7.106929302215576,
+        "131": -7.106929302215576
+      },
+      "cont": "249",
+      "ttft_s": 6.52
+    },
+    {
+      "i": 18,
+      "prompt_tokens": 14766,
+      "first": "699",
+      "top": {
+        "699": -2.145764938177308e-06,
+        "700": -13.375001907348633,
+        "698": -15.875001907348633,
+        "899": -16.625001907348633,
+        "799": -16.875001907348633,
+        "6": -17.250001907348633,
+        "701": -17.500001907348633,
+        "The": -17.625001907348633,
+        " ": -17.625001907348633,
+        "Based": -17.875001907348633,
+        "Let": -18.500001907348633,
+        "690": -19.000001907348633,
+        "708": -19.000001907348633,
+        "0": -19.125001907348633,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -19.250001907348633,
+        "999": -19.250001907348633,
+        "599": -19.375001907348633,
+        "69": -19.375001907348633,
+        "To": -19.375001907348633,
+        "1": -19.500001907348633
+      },
+      "cont": "699",
+      "ttft_s": 6.94
+    },
+    {
+      "i": 19,
+      "prompt_tokens": 13534,
+      "first": "140",
+      "top": {
+        "140": -4.1483970562694594e-05,
+        "139": -10.625041007995605,
+        "1": -12.250041007995605,
+        " ": -12.625041007995605,
+        "400": -14.125041007995605,
+        "150": -14.250041007995605,
+        "100": -14.250041007995605,
+        "Let": -14.500041007995605,
+        "200": -14.625041007995605,
+        "120": -14.750041007995605,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -14.875041007995605,
+        "0": -15.000041007995605,
+        "240": -15.125041007995605,
+        "114": -15.250041007995605,
+        "Based": -15.250041007995605,
+        "Table": -15.250041007995605,
+        "This": -15.500041007995605,
+        "The": -15.750041007995605,
+        "2": -15.750041007995605,
+        "500": -15.875041007995605
+      },
+      "cont": "1400",
+      "ttft_s": 6.44
+    }
+  ]
+}
diff --git a/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay1.json b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay1.json
new file mode 100644
index 00000000..d5beb951
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911/sgl-replay1.json
@@ -0,0 +1,587 @@
+{
+  "api": "http://rank0:8000",
+  "model": "deepseek-v4.1-flash",
+  "long": true,
+  "results": [
+    {
+      "i": 0,
+      "prompt_tokens": 38,
+      "first": "```",
+      "top": {
+        "```": -0.03276176005601883,
+        "import": -3.532761812210083,
+        "from": -6.032761573791504,
+        "def": -7.407761573791504,
+        "REG": -14.782761573791504,
+        "Here": -15.032761573791504,
+        "\n": -15.782761573791504,
+        "#!/": -15.782761573791504,
+        "#": -15.907761573791504,
+        "MON": -16.53276252746582,
+        "SEC": -16.90776252746582,
+        ">>>": -17.15776252746582,
+        "\"\"\"": -17.40776252746582,
+        "ISO": -17.65776252746582,
+        "^": -18.03276252746582,
+        "I": -18.15776252746582,
+        "<<": -18.15776252746582,
+        "_": -18.40776252746582,
+        "|": -18.53276252746582,
+        "0": -18.65776252746582
+      },
+      "cont": "```python\nimport re\n\ndef parse_iso8601_duration(duration):\n    pattern = re.compile(\n        r'^P'\n        r'(?:(\\d+(?:\\.\\d+)?)Y)?'\n        r",
+      "ttft_s": 0.26
+    },
+    {
+      "i": 1,
+      "prompt_tokens": 21,
+      "first": "{\"",
+      "top": {
+        "{\"": -0.0016210046596825123,
+        "```": -7.001620769500732,
+        "{\n": -7.251620769500732,
+        "{": -15.62662124633789,
+        " {\"": -16.62662124633789,
+        "```\n": -20.50162124633789,
+        "Here": -20.62662124633789,
+        "({\"": -20.87662124633789,
+        " {\n": -20.87662124633789,
+        "json": -21.12662124633789,
+        "{{": -21.37662124633789,
+        " ```": -21.62662124633789,
+        "\ufeff": -21.62662124633789,
+        "\n": -21.62662124633789,
+        "import": -21.75162124633789,
+        "{'": -22.00162124633789,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -22.00162124633789,
+        "The": -22.00162124633789,
+        "[": -22.12662124633789,
+        "{\\": -22.25162124633789
+      },
+      "cont": "{\"name\":\"Japan\",\"population\":123900000,\"currency\":\"Japanese yen\"}",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 2,
+      "prompt_tokens": 14,
+      "first": "Sun",
+      "top": {
+        "Sun": -0.07924772053956985,
+        "The": -2.5792477130889893,
+        "Ray": -8.45424747467041,
+        "When": -9.32924747467041,
+        " Sun": -10.82924747467041,
+        "G": -11.70424747467041,
+        "Short": -11.70424747467041,
+        "**": -12.32924747467041,
+        "Blue": -12.57924747467041,
+        "Sh": -12.57924747467041,
+        "M": -12.95424747467041,
+        "Light": -13.45424747467041,
+        "Air": -14.45424747467041,
+        "Small": -14.57924747467041,
+        "As": -14.70424747467041,
+        " sunlight": -14.95424747467041,
+        "Sky": -15.07924747467041,
+        "This": -15.20424747467041,
+        " The": -15.32924747467041,
+        "Here": -15.45424747467041
+      },
+      "cont": "Sunlight contains all colors, but air molecules scatter short-wavelength blue light much more strongly than red light (Rayleigh scattering). When you look at the sky, you see this scattered blue light coming from all directions rather than the direct light",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 3,
+      "prompt_tokens": 18,
+      "first": "391",
+      "top": {
+        "391": -0.00038675934774801135,
+        "17": -7.875386714935303,
+        "Let": -13.625387191772461,
+        "392": -13.875387191772461,
+        "731": -14.500387191772461,
+        "431": -14.625387191772461,
+        "371": -14.875387191772461,
+        "390": -15.000387191772461,
+        "381": -15.500387191772461,
+        "491": -15.875387191772461,
+        "396": -16.00038719177246,
+        "291": -16.12538719177246,
+        "361": -16.12538719177246,
+        "399": -16.37538719177246,
+        "39": -16.37538719177246,
+        "791": -16.50038719177246,
+        "394": -16.50038719177246,
+        "397": -16.62538719177246,
+        "991": -16.75038719177246,
+        "388": -16.87538719177246
+      },
+      "cont": "391",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 4,
+      "prompt_tokens": 18,
+      "first": "Le",
+      "top": {
+        "Le": -0.00013457823661156,
+        "'": -9.000134468078613,
+        "\u00ab": -11.500134468078613,
+        "\"": -14.750134468078613,
+        "La": -15.125134468078613,
+        " Le": -15.875134468078613,
+        "'The": -16.75013542175293,
+        "The": -17.25013542175293,
+        "\u00bb": -18.00013542175293,
+        "**": -18.25013542175293,
+        "Vo": -18.37513542175293,
+        "*": -18.62513542175293,
+        "'S": -19.12513542175293,
+        "Les": -19.12513542175293,
+        "L": -19.37513542175293,
+        "-Le": -19.75013542175293,
+        "`": -20.00013542175293,
+        "le": -20.00013542175293,
+        "Un": -20.12513542175293,
+        "Gard": -20.37513542175293
+      },
+      "cont": "Le gardien du phare regardait la temp\u00eate arriver.",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 5,
+      "prompt_tokens": 14,
+      "first": "2",
+      "top": {
+        "2": -0.38751697540283203,
+        "The": -1.137516975402832,
+        "Here": -8.387516975402832,
+        "Let": -8.637516975402832,
+        "1": -9.387516975402832,
+        "Alright": -9.512516975402832,
+        "Okay": -11.262516975402832,
+        "First": -11.387516975402832,
+        "I": -11.512516975402832,
+        "Of": -11.637516975402832,
+        "7": -12.387516975402832,
+        "Hello": -12.512516975402832,
+        "We": -12.637516975402832,
+        "To": -12.637516975402832,
+        "3": -13.262516975402832,
+        "A": -13.387516975402832,
+        "Prime": -13.512516975402832,
+        "You": -13.637516975402832,
+        "Just": -13.637516975402832,
+        "Sure": -13.637516975402832
+      },
+      "cont": "2, 3, 5, 7, 11, 13, 17, 19, 23, 29",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 6,
+      "prompt_tokens": 13,
+      "first": "A",
+      "top": {
+        "A": -0.6519076824188232,
+        "Green": -1.1519076824188232,
+        "Co": -1.9019076824188232,
+        "Old": -4.776907920837402,
+        "Fire": -6.651907920837402,
+        "W": -7.276907920837402,
+        "The": -7.651907920837402,
+        "Soft": -7.776907920837402,
+        "Pat": -7.776907920837402,
+        "Cold": -8.276907920837402,
+        "Ham": -8.276907920837402,
+        "From": -8.526907920837402,
+        "Ox": -8.651907920837402,
+        "Forg": -8.651907920837402,
+        " Copper": -9.151907920837402,
+        "We": -9.526907920837402,
+        "Burn": -9.651907920837402,
+        "Age": -9.776907920837402,
+        "Black": -10.151907920837402,
+        "D": -10.276907920837402
+      },
+      "cont": "Aged copper lantern,\nHolds a soft and steady glow,\nWarm against the night.",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 7,
+      "prompt_tokens": 35,
+      "first": "C",
+      "top": {
+        "C": -7.772143726469949e-05,
+        "c": -9.750077247619629,
+        "W": -11.000077247619629,
+        "w": -14.125077247619629,
+        "**": -14.750077247619629,
+        "The": -14.875077247619629,
+        "Os": -15.250077247619629,
+        " Cairo": -15.375077247619629,
+        "L": -15.625077247619629,
+        "\u0421": -16.500078201293945,
+        "CA": -16.875078201293945,
+        "Since": -17.750078201293945,
+        "M": -17.750078201293945,
+        "City": -17.750078201293945,
+        "Yes": -17.875078201293945,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -18.000078201293945,
+        "31": -18.000078201293945,
+        "Paris": -18.125078201293945,
+        "T": -18.250078201293945,
+        "A": -18.250078201293945
+      },
+      "cont": "Cairo",
+      "ttft_s": 0.25
+    },
+    {
+      "i": 8,
+      "prompt_tokens": 16,
+      "first": "#",
+      "top": {
+        "#": -0.12488572299480438,
+        "The": -2.4998857975006104,
+        "Here": -3.3748857975006104,
+        "```": -6.999885559082031,
+        "There": -10.249885559082031,
+        "Fixed": -10.749885559082031,
+        "I": -10.749885559082031,
+        " #": -11.499885559082031,
+        "This": -11.874885559082031,
+        "`": -11.874885559082031,
+        "**": -11.874885559082031,
+        "Looking": -11.999885559082031,
+        "##": -11.999885559082031,
+        "That": -12.624885559082031,
+        "<": -12.749885559082031,
+        "def": -12.874885559082031,
+        "Found": -12.874885559082031,
+        "You": -12.999885559082031,
+        "Let": -13.249885559082031,
+        "It": -13.249885559082031
+      },
+      "cont": "# Bug Fix\n\nThe function is supposed to **add** two numbers, but it's using the subtraction operator (`-`) instead of the addition operator (`+`).\n\n## Fixed Code\n\n```python\ndef add(a, b):\n   ",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 9,
+      "prompt_tokens": 17,
+      "first": "A",
+      "top": {
+        "A": -0.0016189813613891602,
+        "I": -6.5016188621521,
+        "The": -9.376619338989258,
+        "An": -11.626619338989258,
+        "\"I": -12.501619338989258,
+        "H": -12.626619338989258,
+        "In": -13.001619338989258,
+        "*": -13.251619338989258,
+        "#": -13.376619338989258,
+        "Determ": -13.501619338989258,
+        "Ich": -13.626619338989258,
+        "As": -14.376619338989258,
+        "Captain": -14.626619338989258,
+        "<\uff5cend\u2581of\u2581sentence\uff5c>": -14.626619338989258,
+        "**": -14.626619338989258,
+        " A": -14.626619338989258,
+        "Despite": -14.626619338989258,
+        "a": -14.751619338989258,
+        "With": -14.751619338989258,
+        "*A": -14.751619338989258
+      },
+      "cont": "A young sailor named Ishmael joins the whaling ship Pequod, whose captain, Ahab, is consumed by a obsessive quest for revenge against the white whale Moby Dick that took his leg, leading to the destruction of the",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 10,
+      "prompt_tokens": 33,
+      "first": "#",
+      "top": {
+        "#": -0.22785161435604095,
+        "```": -1.9778516292572021,
+        "Here": -2.727851629257202,
+        "##": -10.977851867675781,
+        "``": -12.477851867675781,
+        " Here": -13.727851867675781,
+        " #": -13.852851867675781,
+        "###": -13.977851867675781,
+        "I": -14.102851867675781,
+        "SELECT": -14.102851867675781,
+        "This": -14.227851867675781,
+        "SQL": -14.602851867675781,
+        "**": -14.602851867675781,
+        "```\n": -14.727851867675781,
+        "To": -14.727851867675781,
+        " ```": -14.977851867675781,
+        "There": -14.977851867675781,
+        "`": -15.227851867675781,
+        "Let": -15.227851867675781,
+        "here": -15.352851867675781
+      },
+      "cont": "# Top 5 Customers by Total Order Value\n\n```sql\nSELECT\n    c.id,\n    c.name,\n    SUM(o.amount) AS total_order_value\nFROM customers c\nJOIN orders o ON o.customer_id =",
+      "ttft_s": 0.25
+    },
+    {
+      "i": 11,
+      "prompt_tokens": 30,
+      "first": "Let",
+      "top": {
+        "Let": -0.11893303692340851,
+        "Alright": -2.3689329624176025,
+        "The": -4.493933200836182,
+        "We": -5.368933200836182,
+        "This": -6.118933200836182,
+        "Okay": -8.493932723999023,
+        "First": -9.243932723999023,
+        "These": -9.868932723999023,
+        "Looking": -10.243932723999023,
+        "Here": -10.743932723999023,
+        "To": -11.118932723999023,
+        "Sure": -11.368932723999023,
+        "You": -11.493932723999023,
+        "H": -11.868932723999023,
+        "From": -12.243932723999023,
+        "Step": -12.368932723999023,
+        "Ok": -12.493932723999023,
+        "So": -12.743932723999023,
+        "1": -12.743932723999023,
+        "**": -12.993932723999023
+      },
+      "cont": "Let's look at the differences between the terms:\n\n- 6 \u2212 2 = 4  \n- 12 \u2212 6 = 6  \n- 20 \u2212 12 = 8  \n- 30 \u2212 20 = ",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 12,
+      "prompt_tokens": 18,
+      "first": "`",
+      "top": {
+        "`": -0.4805302619934082,
+        "```\n": -1.2305302619934082,
+        "^(": -2.730530261993408,
+        "^": -4.230530261993408,
+        "```": -5.105530261993408,
+        "Here": -6.605530261993408,
+        "/": -7.230530261993408,
+        "\\": -7.480530261993408,
+        "((": -7.730530261993408,
+        "**": -7.980530261993408,
+        "#": -9.85552978515625,
+        "/\\": -10.73052978515625,
+        "/(": -11.48052978515625,
+        "``": -11.73052978515625,
+        "(?": -11.73052978515625,
+        " `": -11.85552978515625,
+        "\\\n": -11.85552978515625,
+        "`\n": -11.85552978515625,
+        "**(": -12.35552978515625,
+        "You": -12.48052978515625
+      },
+      "cont": "`^(?:(?:25[0-5]|2[0-4]\\d|1\\d{2}|[1-9]?\\d)\\.){3}(?:25[0-5]|2[0",
+      "ttft_s": 0.23
+    },
+    {
+      "i": 13,
+      "prompt_tokens": 21,
+      "first": "A",
+      "top": {
+        "A": -0.6178566813468933,
+        "Unlike": -1.367856740951538,
+        "Full": -1.617856740951538,
+        "Whereas": -5.367856502532959,
+        "In": -6.117856502532959,
+        "Sl": -6.867856502532959,
+        "While": -11.617856979370117,
+        "#": -12.742856979370117,
+        "full": -12.992856979370117,
+        "**": -13.492856979370117,
+        " Unlike": -14.992856979370117,
+        "The": -14.992856979370117,
+        "Standard": -15.242856979370117,
+        "\n\n": -15.367856979370117,
+        "Rather": -15.992856979370117,
+        " Full": -16.117856979370117,
+        "Instead": -16.242856979370117,
+        "\u6ed1\u52a8": -16.367856979370117,
+        "To": -16.617856979370117,
+        "\n": -16.742856979370117
+      },
+      "cont": "A sliding-window attention layer differs from full attention in that each token attends only to a fixed-size local neighborhood of nearby tokens (e.g., the previous *w* and next *w* tokens) rather than to every token in the",
+      "ttft_s": 0.25
+    },
+    {
+      "i": 14,
+      "prompt_tokens": 16,
+      "first": "45",
+      "top": {
+        "45": -0.00016020445036701858,
+        "0": -10.375160217285156,
+        "2": -10.750160217285156,
+        "4": -11.625160217285156,
+        "453": -11.875160217285156,
+        "1": -11.875160217285156,
+        "29": -12.000160217285156,
+        "32": -12.125160217285156,
+        "101": -12.375160217285156,
+        "452": -12.375160217285156,
+        "Let": -12.375160217285156,
+        "To": -12.500160217285156,
+        "46": -12.625160217285156,
+        "5": -12.875160217285156,
+        "454": -13.000160217285156,
+        "The": -13.125160217285156,
+        "37": -13.125160217285156,
+        "455": -13.375160217285156,
+        "64": -13.625160217285156,
+        "44": -13.625160217285156
+      },
+      "cont": "45",
+      "ttft_s": 0.22
+    },
+    {
+      "i": 15,
+      "prompt_tokens": 23,
+      "first": "```",
+      "top": {
+        "```": -0.47528523206710815,
+        "#": -1.225285291671753,
+        "Here": -2.600285291671753,
+        "`": -4.975285053253174,
+        "**": -6.225285053253174,
+        "awk": -7.725285053253174,
+        "```\n": -8.475285530090332,
+        "##": -8.975285530090332,
+        "Use": -8.975285530090332,
+        "   ": -9.350285530090332,
+        "You": -9.475285530090332,
+        "``": -9.600285530090332,
+        "Assuming": -9.975285530090332,
+        "This": -10.600285530090332,
+        "Sure": -10.850285530090332,
+        "Using": -10.975285530090332,
+        "To": -11.100285530090332,
+        "<!--": -11.100285530090332,
+        "Two": -11.225285530090332,
+        "The": -11.350285530090332
+      },
+      "cont": "```bash\nawk '{print $1}' access.log | sort -u | wc -l\n```\n\nOr, if you want to count occurrences per IP (sorted by frequency):\n\n```bash\nawk '{print $1}' access.log",
+      "ttft_s": 0.24
+    },
+    {
+      "i": 16,
+      "prompt_tokens": 11620,
+      "first": "CO",
+      "top": {
+        "CO": -5.125986263010418e-06,
+        "The": -13.000004768371582,
+        "Based": -14.125004768371582,
+        "co": -14.500004768371582,
+        "COP": -15.000004768371582,
+        "river": -15.125004768371582,
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+      "cont": "COPPER-LANTERN-8315",
+      "ttft_s": 3.37
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+}
diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912.md b/performance/records/deepseek-v41-flash/sglang-soak-20260912.md
new file mode 100644
index 00000000..a15006a2
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-soak-20260912.md
@@ -0,0 +1,100 @@
+# SGLang TP4 streaming soak
+
+Status: **qualified** for the bounded streaming stability checks below.
+The tested 430080-context site profile completed six hours at concurrency eight.
+This does not change the recipe's 262144-context defaults.
+
+## Conditions
+
+Four GB10 DGX Sparks on a directly cabled four-node cycle, TP4/EP4,
+DeepSeek-V4.1-Flash revision `dba1be0a40aa45a94ad051997016db3960a90277`,
+Mia adapter commit `e59e6eb67479aa68f6fa700c600dc90a0729b5ec`, and the
+[pinned ARM64 SGLang base](../../../runtime/deepseek-v41-sglang/pins.json).
+The tested image is the same artifact identified in the
+[controlled replay comparison](sglang-decoder-replay-20260911.md).
+SparkRing's patched NCCL 2.30.7 replaces the pip library in place.
+
+Decoder-tail replay enabled, context 430080, chunk 4096, requested shared
+token pool 1500000 (actual 1499904), maximum eight requests, memory fraction
+0.90, DSpark block five, no SPS/STS tables, b12x MXFP8, MoE fused finalize
+disabled, expandable segments disabled, packed Engram on local NVMe,
+96 I/O threads, zero GiB row cache. The launch fingerprint was unchanged
+before and after the soaks. No restart or cache flush separates them.
+
+The deployed [harness text](sglang-soak-20260912/soak.py.txt) has SHA256
+`876133b6141d0ef2464a43310eff5f56237536694f30f9cd75754ab18e20b4ee`;
+the [prompt file](sglang-soak-20260912/prompts-v1.json) has SHA256
+`f8106746dc729d287d3509376d683719862b13f3657847e86153856be6c80bb3`.
+Each wave submits eight streaming requests using the same eight short category
+prompts. The harness uses temperature 1.0, top-p 0.95, thinking disabled, and
+a 256-token output cap; it overrides the prompt file's temperature and
+per-category caps. The model was already warm. Prefix caching remains enabled;
+repeated prompts are not a cold-prefill workload. The serving route remained
+available to other clients, whose traffic was not measured separately.
+
+## Measurement
+
+The client sums server-reported completion tokens in each wave and divides by
+that wave's wall-clock duration, including prefill, queueing and streaming.
+The table reports the median and range across waves, not a six-hour weighted
+token rate or a prefill benchmark. No warm-up observations are discarded.
+This is one short run and one overnight run, with no repeated-run confidence
+interval and no controlled comparison between them.
+
+A successful request must receive nonempty content, positive completion-token
+usage, a stop or length finish reason, and the streaming DONE terminator.
+The harness checks for 90-second stream gaps/timeouts and exits nonzero on
+any failed or hung request. Reaching the output cap is recorded separately.
+Memory CSV columns are UTC time followed by rank 0–3 MemAvailable in GiB,
+sampled sequentially about once per minute. Per-rank guards additionally sample
+every five seconds and stop the model below 8 GiB twice or 4 GiB immediately.
+
+Raw [short observations](sglang-soak-20260912/short.json),
+[overnight observations](sglang-soak-20260912/overnight.json),
+[short memory](sglang-soak-20260912/short-memory.csv), and
+[overnight memory](sglang-soak-20260912/overnight-memory.csv) retain request
+timings/counts and rank measurements without credentials, endpoints or outputs.
+Request counts, failures, hangs, truncations and median throughput were
+independently recomputed from these observations.
+
+## Result
+
+The short run started September 12 at 05:05:01 UTC and its coordinator accepted
+PASS at 05:25:11 UTC. The overnight run started at 05:30 UTC and the coordinator
+completed at 11:30:12 UTC (04:30 Pacific).
+
+| Measurement | 20-minute gate | Six-hour soak |
+|---|---:|---:|
+| Waves | 58 | 1653 |
+| Requests | 464 | 13224 |
+| Failures / hangs | 0 / 0 | 0 / 0 |
+| Median aggregate tokens/s per wave | 79.65 | 106.7 |
+| Aggregate tokens/s range | 29.0–100.5 | 86.4–122.5 |
+| Responses reaching 256-token cap | 112 | 3261 |
+| Memory samples | 20 | 348 |
+| Lowest sampled MemAvailable, GiB | 18.8996 | 28.4652 |
+
+Overnight per-rank memory floors were 29.5832, 30.7001, 28.4652 and 28.5318 GiB.
+All four guards were healthy with zero strikes and no trip at the final check.
+The backend health endpoint returned HTTP 200. An authenticated completion
+through the existing public router returned the requested READY response in
+0.48 seconds after the soak, with three generated tokens.
+
+## Conclusion
+
+The recorded profile sustained this repeated short-prompt C8 streaming workload
+for six hours without request failures or detected hangs and remained usable
+through its router afterward. No serving restart was needed.
+
+## Limitations
+
+This does not score response correctness, cyber capability, reasoning effort,
+vision, tool use, long-output generation, or long-context memory pressure.
+The context setting is recorded configuration, not a context-capacity result
+from these short prompts. Output-cap finishes are accepted by this stability
+gate and do not imply complete answers. Sampled memory floors can miss brief
+allocation peaks. The warmer overnight rate cannot establish a tuning gain
+over the short run. No transport counters or controlled competing-client
+measurements were captured. Six hours without errors does not establish
+unattended recovery or high availability, and decoder-tail replay retains the
+correctness limitations stated in the separate replay record.
diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912/overnight-memory.csv b/performance/records/deepseek-v41-flash/sglang-soak-20260912/overnight-memory.csv
new file mode 100644
index 00000000..42d424cd
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-soak-20260912/overnight-memory.csv
@@ -0,0 +1,348 @@
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diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912/overnight.json b/performance/records/deepseek-v41-flash/sglang-soak-20260912/overnight.json
new file mode 100644
index 00000000..aa1acdb6
--- /dev/null
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diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912/prompts-v1.json b/performance/records/deepseek-v41-flash/sglang-soak-20260912/prompts-v1.json
new file mode 100644
index 00000000..15f511f8
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-soak-20260912/prompts-v1.json
@@ -0,0 +1,84 @@
+{
+ "version": "v1",
+ "temperature": 0,
+ "thinking": false,
+ "categories": [
+  {
+   "name": "coding",
+   "prompt": "Write a Python function merge_intervals(intervals) that merges overlapping intervals and returns them sorted. Include a one-line docstring and two example calls.",
+   "max_tokens": 200
+  },
+  {
+   "name": "json",
+   "prompt": "Return only a JSON object describing a fictional bookstore with keys: name (string), city (string), founded (integer year), genres (array of 5 strings), staff (array of 3 objects, each with name and role). No prose.",
+   "max_tokens": 200
+  },
+  {
+   "name": "narrative",
+   "prompt": "Write a 120-word short story about a lighthouse keeper who finds a message in a bottle. Use vivid sensory detail.",
+   "max_tokens": 200
+  },
+  {
+   "name": "prose",
+   "prompt": "Explain in about 120 words how a refrigerator keeps food cold, for a curious 12-year-old.",
+   "max_tokens": 200
+  },
+  {
+   "name": "math",
+   "prompt": "A train leaves at 9:40. It travels 212 km at 80 km/h, stops for 12 minutes, then travels 95 km at 60 km/h. At what time does it arrive? Show the steps briefly, then give the final time.",
+   "max_tokens": 200
+  },
+  {
+   "name": "reasoning",
+   "prompt": "Ana, Ben and Cal each own exactly one pet: a cat, a dog, or a fish. Ana does not own the dog. Ben owns neither the cat nor the fish. Who owns which pet? Explain the deduction step by step.",
+   "max_tokens": 200
+  },
+  {
+   "name": "summary",
+   "prompt": "Summarize the following passage in exactly three bullet points.\n\nGrid-scale batteries have moved from pilot projects to a routine part of how electricity systems run. Their main job is to shift energy in time: they charge when solar and wind output is high and prices are low, then discharge in the evening peak when demand climbs and those sources fade. Operators also use them for services that last seconds rather than hours, such as holding grid frequency steady when a large power plant trips offline, because a battery can respond far faster than a spinning turbine. Most installations today use lithium-ion cells, which fell sharply in price over the last decade, but they are best suited to durations of two to four hours. Longer gaps, such as a windless winter week, need other approaches: flow batteries, compressed air, pumped hydro, or simply more transmission lines that move power between regions with different weather. Critics point out that batteries do not generate energy and lose a portion of it on every cycle, and that mining the metals they contain carries environmental costs. Supporters answer that the alternative, keeping fossil plants idling as backup, is more expensive and dirtier, and that recycling programs are starting to recover lithium, nickel and cobalt at scale. The practical consensus among grid planners is that batteries are one tool among several, most valuable where they are placed close to congestion points or large solar farms, and least valuable when asked to cover long, rare shortages on their own.",
+   "max_tokens": 150
+  },
+  {
+   "name": "format",
+   "prompt": "Convert this list into a Markdown table with columns Item, Qty, Price, Total (Qty x Price), and add a final row with the grand total: apples 3 @ 0.50; bread 1 @ 2.25; milk 2 @ 1.10; eggs 12 @ 0.25.",
+   "max_tokens": 200
+  }
+ ],
+ "ceiling": {
+  "name": "ceiling_count",
+  "prompt": "Count from 1 to 80, comma separated, nothing else.",
+  "max_tokens": 256
+ },
+ "prefill_filler": {
+  "words": [
+   "amber",
+   "basin",
+   "cedar",
+   "delta",
+   "ember",
+   "fjord",
+   "garnet",
+   "harbor",
+   "iris",
+   "juniper",
+   "kestrel",
+   "lumen",
+   "meadow",
+   "nimbus",
+   "orchid",
+   "pylon",
+   "quartz",
+   "raven",
+   "sierra",
+   "tundra",
+   "umber",
+   "vessel",
+   "willow",
+   "xenon",
+   "yarrow",
+   "zephyr"
+  ],
+  "seed_rule": "seed = target tokens",
+  "words_per_target_token": 0.55
+ }
+}
\ No newline at end of file
diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912/short-memory.csv b/performance/records/deepseek-v41-flash/sglang-soak-20260912/short-memory.csv
new file mode 100644
index 00000000..3bdd15c0
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-soak-20260912/short-memory.csv
@@ -0,0 +1,20 @@
+2026-09-12T05:05:01Z,29.471,30.5972,28.3487,28.4389
+2026-09-12T05:06:02Z,28.1988,29.4055,27.1338,27.2188
+2026-09-12T05:07:04Z,29.5445,30.7228,28.4751,28.5564
+2026-09-12T05:08:06Z,28.7971,30.0251,27.7083,27.8082
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diff --git a/performance/records/deepseek-v41-flash/sglang-soak-20260912/soak.py.txt b/performance/records/deepseek-v41-flash/sglang-soak-20260912/soak.py.txt
new file mode 100644
index 00000000..01afae36
--- /dev/null
+++ b/performance/records/deepseek-v41-flash/sglang-soak-20260912/soak.py.txt
@@ -0,0 +1,55 @@
+#!/usr/bin/env python3
+"""20-min (default) soak at fixed concurrency against an OpenAI-compatible endpoint, using the
+prompts-v1 categories in rotation. Records per-wave aggregate tok/s, failures, truncations, and flags
+any request that streams 0 tokens for HANG_S seconds (FlashInfer #5015 signature). Uses V41BENCH_API_KEY.
+usage: soak.py --base URL --model NAME --c 8 --minutes 20 --out soak.json"""
+import argparse, json, os, sys, time, urllib.request, statistics as st
+from concurrent.futures import ThreadPoolExecutor
+ap=argparse.ArgumentParser(); ap.add_argument("--base",required=True); ap.add_argument("--model",required=True)
+ap.add_argument("--c",type=int,default=8); ap.add_argument("--minutes",type=float,default=20); ap.add_argument("--max-tokens",type=int,default=256)
+ap.add_argument("--prompts",default="prompts-v1.json"); ap.add_argument("--out",default="soak.json"); ap.add_argument("--hang-s",type=float,default=90)
+a=ap.parse_args()
+P=json.load(open(a.prompts))
+CATS=P["categories"] if isinstance(P,dict) and "categories" in P else P   # prompts-v1: {"categories":[{name,prompt,max_tokens},...]}
+def prompt_for(i):
+    e=CATS[i%len(CATS)]; return e["prompt"], e.get("name","p")
+def one(i,seed):
+    text,cat=prompt_for(i+seed)
+    body=json.dumps({"model":a.model,"messages":[{"role":"user","content":text}],"max_tokens":a.max_tokens,"temperature":1.0,"top_p":0.95,"chat_template_kwargs":{"thinking":False},"stream":True,"stream_options":{"include_usage":True}}).encode()
+    req=urllib.request.Request(a.base+"/chat/completions",data=body,headers={"Content-Type":"application/json",**({"Authorization":"Bearer "+os.environ["V41BENCH_API_KEY"]} if os.environ.get("V41BENCH_API_KEY") else {})})  # dgx-sparks: keyed lanes
+    t0=time.time(); last=t0; toks=0; ttft=None; usage=None; hang=False; fin=None; done=False; text_seen=False
+    try:
+        with urllib.request.urlopen(req,timeout=a.hang_s) as r:
+            for line in r:
+                if not line.startswith(b"data: "): continue
+                s=line[6:].strip()
+                if s==b"[DONE]":
+                    done=True
+                    break
+                ev=json.loads(s); now=time.time()
+                if now-last>a.hang_s: hang=True
+                last=now
+                if ev.get("usage"): usage=ev["usage"]
+                ch=ev.get("choices") or []
+                if ch:
+                    if ch[0].get("delta",{}).get("content"):
+                        text_seen=True
+                        if ttft is None: ttft=now-t0
+                    if ch[0].get("finish_reason"): fin=ch[0]["finish_reason"]
+        if usage: toks=usage.get("completion_tokens",0)
+        return {"ok":done and text_seen and toks > 0 and fin in ("stop", "length") and not hang,"cat":cat,"tokens":toks,"ttft":ttft,"total":time.time()-t0,"finish":fin,"hang":hang}
+    except Exception as e:
+        return {"ok":False,"cat":cat,"err":str(e)[:120],"total":time.time()-t0,"hang":hang}
+waves=[]; t_end=time.time()+a.minutes*60; w=0
+with ThreadPoolExecutor(max_workers=a.c) as ex:
+    while time.time()<t_end:
+        s=time.time(); res=list(ex.map(lambda i: one(i,w*a.c), range(a.c))); wall=time.time()-s
+        toks=sum(r.get("tokens",0) for r in res); fails=sum(1 for r in res if not r["ok"]); hangs=sum(1 for r in res if r.get("hang"))
+        trunc=sum(1 for r in res if r.get("finish")=="length"); ttfts=[r["ttft"] for r in res if r.get("ttft")]
+        wv={"wave":w,"results":res,"wall_s":round(wall,2),"tokens":toks,"agg_tok_s":round(toks/wall,1),"fails":fails,"hangs":hangs,"truncated":trunc,"ttft_p50":round(st.median(ttfts),2) if ttfts else None,"ttft_max":round(max(ttfts),2) if ttfts else None}
+        waves.append(wv); print(json.dumps(wv),flush=True); w+=1
+agg=[x["agg_tok_s"] for x in waves]
+summary={"c":a.c,"minutes":a.minutes,"waves":len(waves),"agg_median":st.median(agg) if agg else None,"agg_min":min(agg) if agg else None,"agg_max":max(agg) if agg else None,"fails":sum(x["fails"] for x in waves),"hangs":sum(x["hangs"] for x in waves),"truncated":sum(x["truncated"] for x in waves),"requests":len(waves)*a.c}
+print("SUMMARY",json.dumps(summary),flush=True); json.dump({"summary":summary,"waves":waves},open(a.out,"w"),indent=1)
+
+sys.exit(0 if summary["requests"] and not summary["fails"] and not summary["hangs"] else 1)
diff --git a/recipes/README.md b/recipes/README.md
index 4d90c1b9..e2a55bd4 100644
--- a/recipes/README.md
+++ b/recipes/README.md
@@ -17,7 +17,8 @@ installation guides.
 | GLM-5.2 EXL3 3.5-bpw | implemented | four Sparks, TP4/DCP4 | [`glm52-exl3-r7-3.5bpw.json`](glm52-exl3-r7-3.5bpw.json) | [GLM-5.2 quickstart](../docs/GLM52_35BPW_QUICKSTART.md) |
 | DeepSeek-V4-Flash-0731 | implemented | two Sparks, TP2/DCP1 | [`deepseek-v4-flash-0731-pair.json`](deepseek-v4-flash-0731-pair.json) | [DeepSeek quickstart](../docs/DEEPSEEK_V4_FLASH_QUICKSTART.md) |
 | DeepSeek-V4-Flash-0731 | implemented | four Sparks, TP4/DCP1 | [`deepseek-v4-flash-0731.json`](deepseek-v4-flash-0731.json) | [DeepSeek quickstart](../docs/DEEPSEEK_V4_FLASH_QUICKSTART.md) |
-| DeepSeek-V4.1-Flash, Engram on NVMe, DSpark k=5 | implemented (self-built stock vLLM image) | four Sparks, TP4/DCP1 | [`deepseek-v41-flash-cycle.json`](deepseek-v41-flash-cycle.json) | [DeepSeek-V4.1 quickstart](../docs/DEEPSEEK_V41_FLASH_QUICKSTART.md) |
+| DeepSeek-V4.1-Flash, SGLang decoder-tail replay, DSpark block five | implemented (self-built SGLang image; deployment qualification ongoing) | four Sparks, TP4/EP4 cycle | [`deepseek-v41-flash-sglang-cycle.json`](deepseek-v41-flash-sglang-cycle.json) | [SGLang operator guide](../runtime/deepseek-v41-sglang/README.md) |
+| DeepSeek-V4.1-Flash vLLM fallback, Engram on NVMe, DSpark k=5 | implemented (self-built stock vLLM image) | four Sparks, TP4/DCP1 | [`deepseek-v41-flash-cycle.json`](deepseek-v41-flash-cycle.json) | [DeepSeek-V4.1 quickstart](../docs/DEEPSEEK_V41_FLASH_QUICKSTART.md) |
 | Qwen3.8-27B EXL3 K5/K6 | implemented | two Sparks, TP2/DCP1 | [`qwen38-27b-exl3-k5k6-pair.json`](qwen38-27b-exl3-k5k6-pair.json) | [Qwen pair quickstart](../docs/QWEN38_27B_EXL3_K5K6_PAIR_QUICKSTART.md) |
 | Qwen3.8-27B EXL3 K5/K6 | implemented | four Sparks, TP4/DCP1 | [`qwen38-27b-exl3-k5k6.json`](qwen38-27b-exl3-k5k6.json) | [Qwen quickstart](../docs/QWEN38_27B_EXL3_K5K6_QUICKSTART.md) |
 
diff --git a/recipes/deepseek-v41-flash-sglang-cycle.json b/recipes/deepseek-v41-flash-sglang-cycle.json
new file mode 100644
index 00000000..1a03ffe5
--- /dev/null
+++ b/recipes/deepseek-v41-flash-sglang-cycle.json
@@ -0,0 +1,57 @@
+{
+  "schema": "sparkring-recipe/v1",
+  "recipe_id": "deepseek-v41-flash-sglang-cycle",
+  "status": "implemented",
+  "hardware": {
+    "platform": "linux/arm64",
+    "cuda_arch": "sm_121",
+    "ranks": 4,
+    "topology": "direct-cycle-4"
+  },
+  "model": {
+    "repository": "deepseek-ai/DeepSeek-V4.1-Flash",
+    "revision": "dba1be0a40aa45a94ad051997016db3960a90277"
+  },
+  "runtime": {
+    "image_builder": "runtime/deepseek-v41-sglang",
+    "source_pins": "runtime/deepseek-v41-sglang/pins.json",
+    "launcher": "scripts/deepseek_v41_sglang_cycle_serve.py",
+    "environment_template": "scripts/config/deepseek-v41-flash-sglang-cycle.env.example",
+    "launcher_preflight_argument": "--check",
+    "launcher_run_argument": "--run"
+  },
+  "serving": {
+    "served_model_name": "deepseek-v4.1-flash",
+    "tensor_parallel_size": 4,
+    "expert_parallel_size": 4,
+    "context_length": 262144,
+    "chunked_prefill_size": 4096,
+    "max_running_requests": 8,
+    "max_total_tokens": 1500000,
+    "mem_fraction_static": 0.9,
+    "decoder_swa_bounded_replay": true,
+    "speculation": {
+      "method": "DSPARK",
+      "block_size": 5,
+      "schedule": "verify-all without an SPS table"
+    },
+    "engram": {
+      "layout": "Mia packed",
+      "io_threads": 96,
+      "cache_gib": 0
+    },
+    "tool_call_parser": "deepseekv41",
+    "reasoning_parser": "deepseek-v41"
+  },
+  "evidence": {
+    "status": "implemented",
+    "record": "performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md",
+    "limitations": [
+      "No public image; operators must build and pin their image.",
+      "Controlled A/B has one observation per prefill size, not a repeated-run confidence interval.",
+      "Broader production and 430080-context qualification is still pending.",
+      "Decoder-tail replay changes late-layer local attention visibility; finite quality checks do not prove exact equivalence."
+    ]
+  },
+  "fallback_recipe": "recipes/deepseek-v41-flash-cycle.json"
+}
diff --git a/runtime/deepseek-v41-sglang/README.md b/runtime/deepseek-v41-sglang/README.md
new file mode 100644
index 00000000..c90cb820
--- /dev/null
+++ b/runtime/deepseek-v41-sglang/README.md
@@ -0,0 +1,124 @@
+# DeepSeek V4.1 Flash on SGLang
+
+Status: **implemented**. This source-pinned adapter and launcher support a
+four-Spark direct cycle. The recorded prefill experiment passed its bounded
+quality checks; the larger-context profile and deployment qualification are
+still being tested. No public image is published.
+
+| Input | Contract |
+|---|---|
+| Hardware | Four GB10 Sparks, Linux ARM64, local NVMe checkpoint and packed Engram files on every rank |
+| Runtime | External Mia adapter and SGLang base image pinned in [pins.json](pins.json) |
+| Measured settings | TP4/EP4, context 262144, chunk 4096, eight requests, memory fraction 0.90, DSpark block five |
+| Transport | SparkRing patched NCCL 2.30.7, both RoCE devices, four ring channels |
+| Authentication | Required file containing one distinct bearer key per nonempty line |
+| Deployment | Operator-managed rank startup; start workers 3, 2, 1, then rank 0 |
+| Fallback | [vLLM runtime](../deepseek-v41-gb10/README.md) |
+
+## Build and prepare
+
+On an ARM64 build host, choose a build directory that does not already exist:
+
+```bash
+WORK=/absolute/new-build-directory IMAGE=local/sparkring-deepseek-v41:sglang \
+  runtime/deepseek-v41-sglang/build-image.sh
+```
+
+The builder clones Mia's repository at the recorded commit and replaces the
+floating SGLang base tag with the recorded ARM64 digest. It builds the external
+Dockerfile and prints the resulting image ID. Distribute that image to all four
+ranks and record its ID in each private environment file. Source and base pins
+do not guarantee byte-identical compiler output on independently built hosts.
+
+Copy the [environment template](../../scripts/config/deepseek-v41-flash-sglang-cycle.env.example)
+once per rank outside the checkout. Resolve all placeholders. Values are literal
+`KEY=VALUE` entries: shell expansion, inline credentials, and unknown settings
+are rejected. Keep node-local paths and credentials out of version control.
+
+Obtain SparkRing's patched `libnccl.so.2` as described in the
+[vLLM quickstart](../../docs/DEEPSEEK_V41_FLASH_QUICKSTART.md), resolve any symlink,
+and record `sha256sum` of that library as `NCCL_SO_SHA256`. The launcher mounts
+it **over the image's pip NCCL library**. Do not add `LD_PRELOAD`: loading a second
+NCCL runtime triggers SGLang's runtime check. This substitution assumes the
+required NCCL 2.x ABI; the host checksum identifies the actual library, while
+Torch's compiled header version may still report 2.29.7.
+
+Render a launch plan without Docker or GPU access:
+
+```bash
+python3 scripts/deepseek_v41_sglang_cycle_serve.py --check /private/rank-0.env
+```
+
+On each rank, prepare the CPU-only authentication patch, then pack that rank's
+Engram files into an empty directory:
+
+```bash
+python3 scripts/deepseek_v41_sglang_cycle_serve.py --prepare /private/rank-0.env
+python3 scripts/deepseek_v41_sglang_cycle_serve.py --pack /private/rank-0.env
+```
+
+Packing uses local checkpoint shards and approximately 48 GiB per rank for two
+files named `engram-l1-r0of4.bin` and `engram-l14-r0of4.bin` on rank 0. Other ranks
+use their own rank index. These are Mia's packed layout, incompatible with the
+vLLM packed files. A directory containing existing files is refused.
+
+The authentication patch checks the pinned upstream source shape before writing
+a private generated module under the state directory. Each individual key is
+accepted. SGLang's internal caller can use the complete joined value. Separately
+configured admin credentials retain exact matching; ordinary keys cannot unlock
+endpoints that require an admin key. Health and metrics keep SGLang's existing
+unauthenticated behavior. The entrypoint reads the mounted key file, so keys
+never appear in Docker arguments or the launch receipt. Restrict access to the
+state directory, which also holds the external launcher's internal key file.
+
+## Serve and validate
+
+Remove the backend from public routing and stop its existing model owner. The
+launcher refuses an occupied GPU, an existing `sgl_dsv41` container, less than
+100 GiB available host memory, missing shards, or an image/NCCL identity mismatch.
+Reboot idle ranks if necessary to recover unified-memory headroom.
+
+Start ranks 3, 2, 1, then 0 with their respective files:
+
+```bash
+python3 scripts/deepseek_v41_sglang_cycle_serve.py --run /private/rank-0.env
+```
+
+Allow approximately 9–11 minutes for weights, the draft model, and graph capture.
+Verify rank 0 `/health`, each configured key against `/v1/models` and an actual
+generation, and rejection of missing/invalid credentials. The served name is
+`deepseek-v4.1-flash`; the external launcher sets the `deepseekv41` tool parser
+and `deepseek-v41` reasoning parser. Clients can request non-thinking responses
+with `chat_template_kwargs: {"thinking": false}`.
+
+The external image enables decoder bounded replay: layers 0–20 process the
+whole chunk, then layers 21–39 process the final 128 extend tokens per request.
+Global KV memory is retained, but local late-layer SWA visibility changes.
+This is not a demonstrated mathematical equivalence to full prefill. Prompt
+logprobs and full prompt hidden-state capture are not supported by that shortcut.
+See the [controlled replay evidence](../../performance/records/deepseek-v41-flash/sglang-decoder-replay-20260911.md).
+
+Before adopting a site deployment, validate long-context retrieval, tools and
+vision, mixed prefill/decode, tail/chunk boundaries, sampled responses, and a
+20-minute followed by six-hour C8 soak with per-rank memory observations. Test
+coordinated restart under the site's service owner. The launcher does not
+install services, alter routing, or provide unattended recovery after a partial
+rank failure.
+
+Increasing `CONTEXT_LENGTH` to 430080 permits testing a roughly 400K prompt, but
+is outside the recorded 262144-context A/B profile. Inspect the actual KV pool;
+`MAX_TOTAL_TOKENS` alone does not establish that a request fits. Do not describe
+an untested context setting as a measured result.
+
+DSpark uses the verify-all schedule when the SPS table is absent. Table paths
+refer to files inside the mounted state directory. Profile SPS/STS on the
+running configuration before enabling them and compare decode throughput and
+quality independently. vLLM's adaptive verification and Engram tuning do not
+transfer automatically to this implementation.
+
+## Source ownership
+
+Mia's adapter, launcher, and packer remain in the external AGPL-3.0 repository
+and the operator-built image. They are not vendored here. This directory holds
+SparkRing's original wrapper, a source-checked modification to SGLang's auth
+module, and source pins. See [third-party notices](../../THIRD_PARTY_NOTICES.md).
diff --git a/runtime/deepseek-v41-sglang/build-image.sh b/runtime/deepseek-v41-sglang/build-image.sh
new file mode 100755
index 00000000..b0cd8867
--- /dev/null
+++ b/runtime/deepseek-v41-sglang/build-image.sh
@@ -0,0 +1,22 @@
+#!/usr/bin/env bash
+# Build the externally maintained adapter without vendoring its AGPL source.
+set -euo pipefail
+HERE=$(cd "$(dirname "$0")" && pwd)
+WORK=${WORK:?Set WORK to an empty build directory outside this checkout}
+IMAGE=${IMAGE:-local/sparkring-deepseek-v41:sglang}
+[ ! -e "$WORK" ] || { echo 'WORK must not already exist' >&2; exit 1; }
+read_pin(){ python3 -c 'import json,sys; print(json.load(open(sys.argv[1]))[sys.argv[2]])' "$HERE/pins.json" "$1"; }
+git clone --no-checkout "$(read_pin source_repository)" "$WORK"
+git -C "$WORK" checkout --detach "$(read_pin source_commit)"
+python3 - "$WORK/Dockerfile" "$(read_pin base_image)" <<'PY'
+from pathlib import Path
+import sys
+p = Path(sys.argv[1])
+s = p.read_text()
+old = 'FROM lmsysorg/sglang:dev-dsv41'
+assert s.count(old) == 1, 'unexpected upstream Dockerfile; refusing to replace base'
+p.write_text(s.replace(old, 'FROM ' + sys.argv[2]))
+PY
+docker build --platform linux/arm64 -t "$IMAGE" "$WORK"
+docker image inspect "$IMAGE" --format '{{.Id}}'
+echo 'Record this image ID and the resolved NCCL library SHA256 in each private rank environment.'
diff --git a/runtime/deepseek-v41-sglang/entrypoint.py b/runtime/deepseek-v41-sglang/entrypoint.py
new file mode 100644
index 00000000..b8687257
--- /dev/null
+++ b/runtime/deepseek-v41-sglang/entrypoint.py
@@ -0,0 +1,19 @@
+#!/usr/bin/env python3
+"""Read fleet credentials from a mounted file, then run the external Mia launcher.
+
+The image owns /opt/dsv41/boot.py and its licence. No credentials are included
+in docker arguments, the launcher receipt, or this source file.
+"""
+import os
+from pathlib import Path
+import runpy
+import sys
+
+keys = [line.strip() for line in Path(os.environ["API_KEY_FILE"]).read_text().splitlines() if line.strip()]
+if not keys or len(set(keys)) != len(keys) or any("," in key or any(not 33 <= ord(c) <= 126 for c in key) for key in keys):
+    raise SystemExit("API key file must contain distinct, nonempty, whitespace-free keys")
+os.umask(0o077)
+os.environ["API_KEY"] = ",".join(keys)
+print(f"Fleet authentication enabled: {len(keys)} keys", flush=True)
+sys.argv = ["/opt/dsv41/boot.py", *(sys.argv[1:] or ["run"])]
+runpy.run_path(sys.argv[0], run_name="__main__")
diff --git a/runtime/deepseek-v41-sglang/patch-multikey.py b/runtime/deepseek-v41-sglang/patch-multikey.py
new file mode 100644
index 00000000..057d99dc
--- /dev/null
+++ b/runtime/deepseek-v41-sglang/patch-multikey.py
@@ -0,0 +1,20 @@
+#!/usr/bin/env python3
+"""Accept line-separated operator keys through the pinned SGLang auth module.
+
+Only ordinary API keys are split. A separately configured admin key stays exact.
+Run with python -S in a CPU-only container; stdout is the patched source.
+"""
+from pathlib import Path
+import sys
+
+source = Path(sys.argv[1]).read_text()
+old = "        return secrets.compare_digest(parts[1], expected_token)"
+new = """        # Operator multi-key authentication.
+        # Keep the raw value valid for SGLang's internal authenticated callers.
+        candidates = [expected_token]
+        if expected_token == api_key and expected_token != admin_api_key:
+            candidates += [key.strip() for key in expected_token.split(",") if key.strip()]
+        return any(secrets.compare_digest(parts[1], key) for key in candidates)"""
+if source.count(old) != 1:
+    raise SystemExit("auth source changed; refusing an unverified patch")
+print(source.replace(old, new, 1), end="")
diff --git a/runtime/deepseek-v41-sglang/pins.json b/runtime/deepseek-v41-sglang/pins.json
new file mode 100644
index 00000000..01c54d4e
--- /dev/null
+++ b/runtime/deepseek-v41-sglang/pins.json
@@ -0,0 +1,14 @@
+{
+  "schema": "sparkring-deepseek-v41-sglang/v1",
+  "status": "implemented",
+  "source_repository": "https://github.com/MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks.git",
+  "source_commit": "e59e6eb67479aa68f6fa700c600dc90a0729b5ec",
+  "source_license": "AGPL-3.0",
+  "base_image": "lmsysorg/sglang@sha256:e56358a68b06427362283c8c8a9d7d706448082ae53098ea1131b5d51aa1fd62",
+  "platform": "linux/arm64",
+  "model_repository": "deepseek-ai/DeepSeek-V4.1-Flash",
+  "model_revision": "dba1be0a40aa45a94ad051997016db3960a90277",
+  "auth_path": "/sgl-workspace/sglang/python/sglang/srt/utils/auth.py",
+  "nccl_target": "/opt/sglang/lib/python3.12/site-packages/nvidia/nccl/lib/libnccl.so.2",
+  "nccl_requirement": "SparkRing switchless-cycle patched NCCL 2.30.7; operator records SHA256 of the resolved library"
+}
diff --git a/scripts/config/deepseek-v41-flash-sglang-cycle.env.example b/scripts/config/deepseek-v41-flash-sglang-cycle.env.example
new file mode 100644
index 00000000..fba88102
--- /dev/null
+++ b/scripts/config/deepseek-v41-flash-sglang-cycle.env.example
@@ -0,0 +1,27 @@
+# One file per rank. Values are literal KEY=VALUE, without shell expansion.
+NODE_RANK=<0_TO_3>
+MASTER_ADDR=<RANK0_IP>
+HOST_IP=<THIS_RANK_IP>
+MODEL_HOST_PATH=<ABSOLUTE_CHECKPOINT_DIRECTORY>
+ENGRAM_HOST_PATH=<ABSOLUTE_MIA_PACKED_DIRECTORY>
+STATE_HOST_PATH=<ABSOLUTE_PRIVATE_STATE_DIRECTORY>
+CACHE_HOST_PATH=<ABSOLUTE_CACHE_DIRECTORY>
+API_KEY_FILE=<ABSOLUTE_FILE_ONE_KEY_PER_LINE>
+NCCL_SO_HOST_PATH=<ABSOLUTE_PATCHED_NCCL_LIBRARY>
+NCCL_SO_SHA256=<SHA256_OF_RESOLVED_LIBRARY>
+IMAGE=local/sparkring-deepseek-v41:sglang
+IMAGE_ID=<sha256:YOUR_BUILT_IMAGE_ID>
+API_PORT=8000
+MASTER_PORT=20000
+CONTEXT_LENGTH=262144
+CHUNKED_PREFILL_SIZE=4096
+MAX_RUNNING_REQUESTS=8
+MAX_TOTAL_TOKENS=1500000
+MEM_FRACTION_STATIC=0.90
+NCCL_SOCKET_IFNAME=<MANAGEMENT_INTERFACE>
+GLOO_SOCKET_IFNAME=<MANAGEMENT_INTERFACE>
+NCCL_IB_HCA=rocep1s0f0,rocep1s0f1
+NCCL_IB_GID_INDEX=<GID_INDEX>
+# Optional profiled tables inside STATE_HOST_PATH. Absent tables use verify-all.
+#DSPARK_SPS_TABLE=/state/dspark_sps.json
+#DSPARK_STS_TABLE=/state/dspark_sts.json
diff --git a/scripts/deepseek_v41_sglang_cycle_serve.py b/scripts/deepseek_v41_sglang_cycle_serve.py
new file mode 100644
index 00000000..a004ff8f
--- /dev/null
+++ b/scripts/deepseek_v41_sglang_cycle_serve.py
@@ -0,0 +1,213 @@
+#!/usr/bin/env python3
+"""Render or launch one SGLang rank from a literal, private environment file.
+
+--check is offline. --prepare patches authentication using a CPU-only container.
+--pack builds Mia-layout Engram files on local NVMe. --run requires an idle GPU.
+"""
+import argparse
+import hashlib
+import json
+from pathlib import Path
+import re
+import shlex
+import subprocess
+import sys
+
+ROOT = Path(__file__).resolve().parents[1]
+RUNTIME = ROOT / "runtime/deepseek-v41-sglang"
+PINS = json.loads((RUNTIME / "pins.json").read_text())
+REQUIRED = {
+    "NODE_RANK", "MASTER_ADDR", "HOST_IP", "MODEL_HOST_PATH", "ENGRAM_HOST_PATH",
+    "STATE_HOST_PATH", "CACHE_HOST_PATH", "API_KEY_FILE", "NCCL_SO_HOST_PATH",
+    "NCCL_SO_SHA256", "IMAGE", "IMAGE_ID", "NCCL_SOCKET_IFNAME", "GLOO_SOCKET_IFNAME",
+    "NCCL_IB_HCA", "NCCL_IB_GID_INDEX",
+}
+DEFAULTS = {
+    "API_PORT": "8000", "MASTER_PORT": "20000", "CONTEXT_LENGTH": "262144",
+    "CHUNKED_PREFILL_SIZE": "4096", "MAX_RUNNING_REQUESTS": "8",
+    "MAX_TOTAL_TOKENS": "1500000", "MEM_FRACTION_STATIC": "0.90",
+    "DSPARK_SPS_TABLE": "/state/dspark_sps.json", "DSPARK_STS_TABLE": "/state/dspark_sts.json",
+}
+TRANSPORT = {
+    "NCCL_NET": "IB", "NCCL_NET_PLUGIN": "none", "NCCL_IB_DISABLE": "0",
+    "NCCL_IB_SUBNET_AWARE_ROUTING": "1", "NCCL_IB_SUBNET_PREFIX_LEN": "24",
+    "NCCL_IB_MERGE_NICS": "0", "NCCL_CROSS_NIC": "1", "NCCL_P2P_LEVEL": "SYS",
+    "NCCL_P2P_DISABLE": "1", "NCCL_SHM_DISABLE": "1", "NCCL_PROTO": "LL,LL128,Simple",
+    "NCCL_ALGO": "Ring", "NCCL_MIN_NCHANNELS": "4", "NCCL_MAX_NCHANNELS": "4",
+    "NCCL_SKIP_TREE_CONNECT": "1", "NCCL_SWITCHLESS_RING_ONLY": "1",
+    "NCCL_CUMEM_ENABLE": "0", "NCCL_IGNORE_CPU_AFFINITY": "1", "NCCL_DEBUG": "WARN",
+    "NCCL_DEBUG_SUBSYS": "INIT",
+}
+
+
+def read_config(path):
+    cfg = dict(DEFAULTS)
+    seen = set()
+    for number, line in enumerate(Path(path).read_text().splitlines(), 1):
+        if not line.strip() or line.lstrip().startswith("#"):
+            continue
+        key, sep, value = line.partition("=")
+        key, value = key.strip(), value.strip()
+        if not sep or key not in REQUIRED | DEFAULTS.keys() or key in seen:
+            raise ValueError(f"invalid, unknown, or duplicate setting at line {number}")
+        if not value or any(c in value for c in "<>\n\r\x00"):
+            raise ValueError(f"unresolved or empty setting: {key}")
+        cfg[key] = value
+        seen.add(key)
+    if REQUIRED - seen:
+        raise ValueError("missing settings: " + ", ".join(sorted(REQUIRED - seen)))
+    limits = {"NODE_RANK": (0, 3), "API_PORT": (1, 65535), "MASTER_PORT": (1, 65535),
+              "CONTEXT_LENGTH": (4096, 1048576), "CHUNKED_PREFILL_SIZE": (128, 65536),
+              "MAX_RUNNING_REQUESTS": (1, 64), "MAX_TOTAL_TOKENS": (4096, 10000000),
+              "NCCL_IB_GID_INDEX": (0, 255)}
+    for key, (low, high) in limits.items():
+        if not cfg[key].isdigit() or not low <= int(cfg[key]) <= high:
+            raise ValueError(f"invalid numeric setting: {key}")
+    if not 0.1 <= float(cfg["MEM_FRACTION_STATIC"]) < 1:
+        raise ValueError("invalid MEM_FRACTION_STATIC")
+    if not re.fullmatch(r"sha256:[0-9a-f]{64}", cfg["IMAGE_ID"]):
+        raise ValueError("IMAGE_ID must pin a complete Docker image ID")
+    if not re.fullmatch(r"[0-9a-f]{64}", cfg["NCCL_SO_SHA256"]):
+        raise ValueError("NCCL_SO_SHA256 must pin the library contents")
+    for key in REQUIRED:
+        if key.endswith("_PATH") or key == "API_KEY_FILE":
+            if not Path(cfg[key]).is_absolute() or ":" in cfg[key]:
+                raise ValueError(f"{key} must be an absolute bind-mount path without colons")
+    return cfg
+
+
+def command(cfg):
+    state = Path(cfg["STATE_HOST_PATH"])
+    mounts = {
+        cfg["MODEL_HOST_PATH"]: "/models/DeepSeek-V4.1-Flash:ro",
+        cfg["ENGRAM_HOST_PATH"]: "/engram:ro", str(state): "/state",
+        cfg["CACHE_HOST_PATH"]: "/root/.cache",
+        cfg["API_KEY_FILE"]: "/run/secrets/api-keys:ro",
+        str(state / "operator/auth.py"): PINS["auth_path"] + ":ro",
+        str(RUNTIME / "entrypoint.py"): "/operator/entrypoint.py:ro",
+        str(Path(cfg["NCCL_SO_HOST_PATH"]).resolve()): PINS["nccl_target"] + ":ro",
+    }
+    env = {**TRANSPORT, **{k: cfg[k] for k in (
+        "NODE_RANK", "HOST_IP", "CONTEXT_LENGTH", "CHUNKED_PREFILL_SIZE",
+        "MAX_RUNNING_REQUESTS", "MAX_TOTAL_TOKENS", "MEM_FRACTION_STATIC",
+        "NCCL_SOCKET_IFNAME", "GLOO_SOCKET_IFNAME", "NCCL_IB_HCA", "NCCL_IB_GID_INDEX",
+        "DSPARK_SPS_TABLE", "DSPARK_STS_TABLE")},
+        "API_KEY_FILE": "/run/secrets/api-keys", "SERVER_PORT": cfg["API_PORT"],
+        "DIST_INIT_ADDR": cfg["MASTER_ADDR"] + ":" + cfg["MASTER_PORT"],
+        "VLLM_HOST_IP": cfg["HOST_IP"], "NNODES": "4", "TP_SIZE": "4", "EP_SIZE": "4",
+        "HOST": "0.0.0.0", "SERVED_MODEL_NAME": "deepseek-v4.1-flash",
+        "MODEL_PATH": "/models/DeepSeek-V4.1-Flash", "DSV41_SOURCE": "/models/DeepSeek-V4.1-Flash",
+        "STATE_PATH": "/state", "OFFLOAD_MODE": "nvme", "DSV41_PACKED_DIR": "/engram",
+        "DSV41_CACHE_GIB": "0", "DSV41_IO_THREADS": "96", "DSV41_RESIDENT_SCALES": "0",
+        "DSV41_CACHE_WAYS": "4", "DSV41_STATS_SECONDS": "60", "DSV41_TP_PAD": "0",
+        "CUDA_GRAPH_MAX_BS_DECODE": cfg["MAX_RUNNING_REQUESTS"], "SPEC_ALGO": "DSPARK",
+        "DSPARK_BLOCK_SIZE": "5", "SKIP_PREPARE": "1", "SKIP_VERIFY": "1",
+        "SKIP_SMOKE": "1", "WARMUP": "0", "DSV41_MXFP8_BACKEND": "b12x",
+        "SGLANG_FLASHINFER_MOE_FUSED_FINALIZE": "0", "SGLANG_ENABLE_DSV41_ENGRAM_HOST_TABLE": "0",
+        "PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:False", "CUDA_DEVICE_ORDER": "PCI_BUS_ID",
+        "EXTRA_SGLANG_ARGS": "--fp8-gemm-backend flashinfer_cutlass --watchdog-timeout 1800 --enable-metrics",
+    }
+    args = ["docker", "run", "-d", "--name", "sgl_dsv41", "--restart", "no",
+            "--label", "family=dsv41", "--label", "engine=sglang", "--network", "host",
+            "--ipc", "host", "--privileged", "--cap-add", "IPC_LOCK", "--gpus", "all",
+            "--shm-size", "32g", "--ulimit", "memlock=-1:-1", "--ulimit", "stack=67108864",
+            "--device", "/dev/infiniband:/dev/infiniband"]
+    for source, target in mounts.items():
+        args += ["-v", source + ":" + target]
+    for key, value in env.items():
+        args += ["-e", key + "=" + value]
+    return args + ["--entrypoint", "python3", cfg["IMAGE"], "/operator/entrypoint.py", "run"]
+
+
+def output(args):
+    return subprocess.check_output(args, text=True).strip()
+
+
+def verify_image(cfg):
+    if output(["docker", "image", "inspect", cfg["IMAGE"], "--format", "{{.Id}}"]) != cfg["IMAGE_ID"]:
+        raise ValueError("image identity mismatch")
+
+
+def verify_host(cfg):
+    verify_image(cfg)
+    if not (Path(cfg["MODEL_HOST_PATH"]) / "config.json").is_file():
+        raise ValueError("missing checkpoint config.json")
+    for i in range(1, 49):
+        path = Path(cfg["MODEL_HOST_PATH"]) / f"model-{i:05d}-of-00048.safetensors"
+        if not path.is_file() or not path.stat().st_size:
+            raise ValueError(f"missing checkpoint shard {i}")
+    for layer in (1, 14):
+        path = Path(cfg["ENGRAM_HOST_PATH"]) / f"engram-l{layer}-r{cfg['NODE_RANK']}of4.bin"
+        if not path.is_file() or not path.stat().st_size:
+            raise ValueError(f"missing Mia-layout Engram layer {layer}")
+    library = Path(cfg["NCCL_SO_HOST_PATH"]).resolve(strict=True)
+    with library.open("rb") as stream:
+        digest = hashlib.file_digest(stream, "sha256").hexdigest()
+    if digest != cfg["NCCL_SO_SHA256"]:
+        raise ValueError("NCCL content identity mismatch")
+    keys = [line.strip() for line in Path(cfg["API_KEY_FILE"]).read_text().splitlines() if line.strip()]
+    if not keys or len(keys) != len(set(keys)) or any("," in k or any(not 33 <= ord(c) <= 126 for c in k) for k in keys):
+        raise ValueError("key file must contain distinct nonempty keys without commas or whitespace")
+    state = Path(cfg["STATE_HOST_PATH"])
+    if not (state / "operator/auth.py").is_file():
+        raise ValueError("run --prepare first")
+    names = output(["docker", "ps", "--format", "{{.Names}}"]).splitlines()
+    if any(name.startswith(("vllm", "sgl", "glm")) for name in names):
+        raise ValueError("a model container is already running; stop its owning service first")
+    if output(["nvidia-smi", "--query-compute-apps=pid", "--format=csv,noheader"]):
+        raise ValueError("GPU has active compute processes; stop the owning service first")
+    if output(["docker", "ps", "-aq", "--filter", "name=^/sgl_dsv41$"]):
+        raise ValueError("sgl_dsv41 already exists; inspect and remove it explicitly")
+    mem = dict(line.split(":", 1) for line in Path("/proc/meminfo").read_text().splitlines())
+    if int(mem["MemAvailable"].split()[0]) < 100 * 1048576:
+        raise ValueError("less than 100 GiB MemAvailable; recover the idle host before launch")
+
+
+def main():
+    ap = argparse.ArgumentParser(description=__doc__)
+    modes = ap.add_mutually_exclusive_group(required=True)
+    for name in ("check", "prepare", "pack", "run"):
+        modes.add_argument("--" + name, action="store_true")
+    ap.add_argument("environment")
+    args = ap.parse_args()
+    cfg = read_config(args.environment)
+    if args.check:
+        print(shlex.join(command(cfg)))
+    elif args.prepare:
+        verify_image(cfg)
+        state = Path(cfg["STATE_HOST_PATH"])
+        operator = state / "operator"
+        operator.mkdir(parents=True, exist_ok=True)
+        state.chmod(0o700)
+        operator.chmod(0o700)
+        source = subprocess.check_output([
+            "docker", "run", "--rm", "--memory", "512m", "--entrypoint", "python3",
+            "-v", str(RUNTIME / "patch-multikey.py") + ":/patch.py:ro", cfg["IMAGE"],
+            "-S", "/patch.py", PINS["auth_path"]])
+        staged = operator / "auth.py.tmp"
+        staged.write_bytes(source)
+        staged.replace(operator / "auth.py")
+        print("Authentication prepared; no GPU used")
+    elif args.pack:
+        verify_image(cfg)
+        packed = Path(cfg["ENGRAM_HOST_PATH"])
+        packed.mkdir(parents=True, exist_ok=True)
+        if any(packed.iterdir()):
+            raise ValueError("packing requires an empty Engram directory")
+        subprocess.run(["docker", "run", "--rm", "--memory", "8g", "--entrypoint", "python3",
+            "-v", cfg["MODEL_HOST_PATH"] + ":/models/DeepSeek-V4.1-Flash:ro",
+            "-v", str(packed) + ":/engram", "-e", "PYTHONPATH=/opt/sglang/lib/python3.12/site-packages",
+            cfg["IMAGE"], "-S", "/opt/dsv41/scripts/pack_engram.py",
+            "--rank", cfg["NODE_RANK"], "--tp", "4", "--out", "/engram"], check=True)
+    else:
+        verify_host(cfg)
+        Path(cfg["CACHE_HOST_PATH"]).mkdir(parents=True, exist_ok=True)
+        subprocess.run(command(cfg), check=True)
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except (ValueError, OSError, subprocess.CalledProcessError) as exc:
+        print(f"SGLang launch failed: {exc}", file=sys.stderr)
+        sys.exit(1)
diff --git a/scripts/test_deepseek_v41_sglang_launcher.py b/scripts/test_deepseek_v41_sglang_launcher.py
new file mode 100644
index 00000000..e1c1e8ca
--- /dev/null
+++ b/scripts/test_deepseek_v41_sglang_launcher.py
@@ -0,0 +1,126 @@
+"""Offline configuration and command contracts; no Docker or GPU calls."""
+import importlib.util
+from pathlib import Path
+import subprocess
+import sys
+
+import pytest
+
+HERE = Path(__file__).resolve().parent
+spec = importlib.util.spec_from_file_location("sglang_launch", HERE / "deepseek_v41_sglang_cycle_serve.py")
+launch = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(launch)
+
+
+def environment(tmp_path, **overrides):
+    cfg = {key: "/operator/" + key.lower() for key in launch.REQUIRED}
+    cfg.update(NODE_RANK="0", MASTER_ADDR="192.0.2.10", HOST_IP="192.0.2.10",
+               IMAGE="local/example:sglang", IMAGE_ID="sha256:" + "a" * 64,
+               NCCL_SO_SHA256="b" * 64, NCCL_SOCKET_IFNAME="eth0", GLOO_SOCKET_IFNAME="eth0",
+               NCCL_IB_HCA="rocep1s0f0,rocep1s0f1", NCCL_IB_GID_INDEX="3")
+    cfg.update(overrides)
+    path = tmp_path / "rank.env"
+    path.write_text("\n".join(f"{k}={v}" for k, v in cfg.items()))
+    return path
+
+
+def test_default_plan_keeps_keys_in_file(tmp_path):
+    cfg = launch.read_config(environment(tmp_path))
+    cmd = launch.command(cfg)
+    assert "--gpus" in cmd
+    assert "API_KEY_FILE=/run/secrets/api-keys" in cmd
+    assert not any(arg.startswith("API_KEY=") for arg in cmd)
+    assert not any("LD_PRELOAD" in arg for arg in cmd)
+    assert "CONTEXT_LENGTH=262144" in cmd
+    assert "CHUNKED_PREFILL_SIZE=4096" in cmd
+    assert "MAX_RUNNING_REQUESTS=8" in cmd
+    assert any(launch.PINS["nccl_target"] + ":ro" in arg for arg in cmd)
+    assert cmd[-2:] == ["/operator/entrypoint.py", "run"]
+
+
+@pytest.mark.parametrize("values", [
+    {"NODE_RANK": "4"}, {"IMAGE_ID": "latest"}, {"NCCL_SO_SHA256": "bad"},
+    {"API_KEY_FILE": "relative/path"}, {"API_PORT": "70000"},
+    {"MAX_RUNNING_REQUESTS": "0"}, {"MEM_FRACTION_STATIC": "1"},
+    {"MASTER_ADDR": "<UNRESOLVED>"}, {"API_KEY": "fixture"},
+])
+def test_invalid_configuration_rejected(tmp_path, values):
+    with pytest.raises(ValueError):
+        launch.read_config(environment(tmp_path, **values))
+
+
+def test_duplicate_rejected(tmp_path):
+    path = environment(tmp_path)
+    with path.open("a") as out:
+        out.write("\nNODE_RANK=1\n")
+    with pytest.raises(ValueError):
+        launch.read_config(path)
+
+
+def test_offline_check_never_requires_docker(tmp_path, monkeypatch):
+    path = environment(tmp_path)
+    monkeypatch.setenv("PATH", str(tmp_path))
+    result = subprocess.run([sys.executable, str(HERE / "deepseek_v41_sglang_cycle_serve.py"),
+                             "--check", str(path)], capture_output=True, text=True)
+    assert result.returncode == 0, result.stderr
+    assert "docker run" in result.stdout
+
+
+def test_pinned_auth_patch_refuses_drift(tmp_path):
+    source = tmp_path / "auth.py"
+    source.write_text("# changed upstream module\n")
+    result = subprocess.run([sys.executable, str(launch.RUNTIME / "patch-multikey.py"), str(source)],
+                            capture_output=True, text=True)
+    assert result.returncode != 0
+    assert "refusing" in result.stderr
+
+
+def host_config(tmp_path):
+    model = tmp_path / 'model'
+    model.mkdir()
+    (model / 'config.json').write_text('{}')
+    for i in range(1, 49):
+        (model / f'model-{i:05d}-of-00048.safetensors').write_bytes(b'fixture')
+    packed = tmp_path / 'packed'
+    packed.mkdir()
+    for layer in (1, 14):
+        (packed / f'engram-l{layer}-r0of4.bin').write_bytes(b'fixture')
+    keys = tmp_path / 'keys'
+    keys.write_text('fixture-key\n')
+    library = tmp_path / 'nccl.so'
+    library.write_bytes(b'fixture-nccl')
+    state = tmp_path / 'state'
+    (state / 'operator').mkdir(parents=True)
+    (state / 'operator/auth.py').write_text('# fixture')
+    return launch.read_config(environment(tmp_path, MODEL_HOST_PATH=str(model),
+        ENGRAM_HOST_PATH=str(packed), API_KEY_FILE=str(keys), NCCL_SO_HOST_PATH=str(library),
+        NCCL_SO_SHA256=launch.hashlib.sha256(library.read_bytes()).hexdigest(),
+        STATE_HOST_PATH=str(state)))
+
+
+def test_image_drift_rejected_before_host_actions(tmp_path, monkeypatch):
+    cfg = host_config(tmp_path)
+    monkeypatch.setattr(launch, 'output', lambda args: 'sha256:' + 'c' * 64)
+    with pytest.raises(ValueError, match='image identity'):
+        launch.verify_host(cfg)
+
+
+def test_running_model_rejected_even_before_gpu_allocation(tmp_path, monkeypatch):
+    cfg = host_config(tmp_path)
+    def output(args):
+        if args[:3] == ['docker', 'image', 'inspect']:
+            return cfg['IMAGE_ID']
+        if args[:2] == ['docker', 'ps']:
+            return 'vllm_dsv41'
+        pytest.fail('must refuse before additional host actions')
+    monkeypatch.setattr(launch, 'output', output)
+    with pytest.raises(ValueError, match='model container'):
+        launch.verify_host(cfg)
+
+
+def test_library_drift_rejected(tmp_path, monkeypatch):
+    cfg = host_config(tmp_path)
+    Path(cfg['NCCL_SO_HOST_PATH']).write_bytes(b'different-library')
+    monkeypatch.setattr(launch, 'output', lambda args: cfg['IMAGE_ID'])
+    with pytest.raises(ValueError, match='NCCL content identity'):
+        launch.verify_host(cfg)