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[KV Events] Publish LoRA adapter names and namespaced block hashes - #42455

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livingshade:livingshade/kv-events-namespaced-hashes
Oct 11, 2026
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ShangmingCai merged 4 commits into
sgl-project:mainfrom
livingshade:livingshade/kv-events-namespaced-hashes

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@livingshade

@livingshade livingshade commented Oct 4, 2026 •

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Motivation

KV events tell external routers which worker has which prefix blocks. For LoRA requests, the events do not identify the adapter:

  • block_hashes do not include extra_key. Thus a block of a LoRA adapter has the same hash as a base-model block with the same tokens.
  • No event gives the adapter name. lora_id is always None.

The goal of this PR is to support the Dynamo KV router (ai-dynamo/dynamo#15592), so that an external router can use the block hash as an index key and use the adapter name to match requests and hopefully leads to better prefix caching when LoRA being enabled.

Instead of adding Dynamo-specific fields to the SGLang format, this PR adds a dynamo format that follows the stable KV event API that Dynamo already defines (KV event wire format), and keeps the default format unchanged. This keeps the two projects decoupled and the boundary stable on both sides.

Example

--kv-events-config '{"publisher": "zmq", "endpoint": "tcp://*:5557", "format": "dynamo"}'

A base request and a request for adapter adapter-a both store tokens [1, 2, 3, 4] (page_size=2). The ZMQ payload is unchanged, [ts, events, dp_rank]:

[ts, [
  {"type": "BlockStored", "block_hashes": [E0, E1], "parent_block_hash": None,
   "token_ids": [1, 2, 3, 4], "block_size": 2, "lora_id": None, "medium": "GPU"},
  {"type": "BlockStored", "block_hashes": [N0, N1], "parent_block_hash": None,
   "token_ids": [1, 2, 3, 4], "block_size": 2, "lora_id": None, "medium": "GPU",
   "lora_name": "adapter-a"},
], 0]

E0 and E1 are the default block hashes. The default format sends them for both requests. Here the adapter blocks get Ni = namespaced_block_hash(Ei, seed), where the seed comes from the adapter's extra_key.

Modifications

  • Add a format option to --kv-events-config: "default" or "dynamo", "default" by default. The default format is the same as before this PR, so deployments that do not set it are not affected. EventPublisherFactory.create drops the option before it builds the publisher.
  • In the dynamo format, block_hashes, parent_block_hash and the hashes in BlockRemoved are namespaced hashes (below), so blocks of different adapters or adapter loads never share a hash.
  • In the dynamo format, populate BlockStored.lora_name. Req adds lora_id to the end of extra_key, and the scheduler keeps LoRANameTable to map internal uuid to actual lora name.
  • Both tree implementations have the change: the Python KVCacheEventRecorder and the Rust UnifiedTreeCore.

How namespaced hashes are calculated

  • kv_event_namespace_seed(extra_key, cache_salt) is the SHA-256 of the tag sglang-kv-event-namespace-v1 and the two parts. Each part has a presence byte and a length prefix. The seed is None when both parts are None.
  • namespaced_block_hash(block_hash, seed) is the first 8 bytes of SHA-256(seed, block_hash as 8 big-endian bytes), as a signed int64. When the seed is None, the result is block_hash. Thus a base-model block has the same hash in both formats.
  • parent_block_hash uses the same function.

We do not reuse the HiCache storage hash (node.hash_value) for two reasons. First, decoupling: a change to the HiCache storage keys should not change the published hashes. Second, the algorithm is simpler: the HiCache hash is a chain over the page tokens, so a copy of it needs cached state on each node and must handle node splits. namespaced_block_hash only mixes the seed into each published block hash, so it needs no state.

Accuracy Tests

Not applicable. This PR does not change model outputs or kernels.

Speed Tests and Profiling

Not benchmarked. The default format adds no work except one dict insert per adapter load. In the dynamo format, overhead mostly comes from:

  • LoRANameTable: one entry (id and name) per loaded adapter, kept for the server lifetime. Resolving lora_name is one cheap dict lookup.
  • Namespaced hashes: each published block of a node with a namespace (extra_key or cache_salt) costs one SHA-256 over 40 bytes; nodes without a namespace keep block_hash and cost nothing. The namespaced hashes replace the original ones, so the event size does not change apart from lora_name.

Non-goals

Cache invalidation on LoRA unload/reload is out of scope for this PR. See ai-dynamo/dynamo#15746 for the routing implications in Dynamo case. This does not affect other consumers.

Validation

New unit tests in Python and Rust:

  • In the dynamo format, base blocks and adapter blocks with the same tokens get different block hashes. Remove events have the same hashes as store events.
  • After a node split, the parent link points to the correct page.
  • Python and Rust give the same fixed namespaced_block_hash values.
  • LoRANameTable finds the adapter name from the end of extra_key.

Ran the affected tests on one H200:

Test Result
test/registered/rust/test_run_sglang_radix_tree_rust_tests.py (sglang-radix-tree cargo test) passed
test/registered/unit/disaggregation/test_kv_events.py 18 passed
test/registered/unit/mem_cache/test_radix_cache_unit.py 41 passed
test/registered/unit/mem_cache/test_rust_tree_core_integration.py 443 passed

We will test this end to end on the Dynamo side.

Checklist


CI States

Latest PR Test (Base): ✅ Run #38126200463
Latest PR Test (Extra): ❌ Run #38126200175
Latest PR Test (AMD ROCm 10): ❌ Run #38126200419

@livingshade

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@ShangmingCai Please take a look.

livingshade and others added 3 commits October 5, 2026 22:24
Add namespaced_block_hash and kv_event_namespace_seed in kv_events.py.
The hash mixes a seed of extra_key and cache_salt into each published
block hash, so blocks of different LoRA adapters or adapter loads never
share a hash. It returns the block hash unchanged when there is no
namespace. The Python and Rust copies are pinned to the same values.

The Python radix trees and the Rust tree core publish these hashes as
block_hashes, parent_block_hash and removed hashes when
dynamo_kv_event_format is set. The flag is off by default and is not yet
configurable.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>
Req adds lora_id, a uuid hex string, to the end of extra_key, so a tree
node knows only the id. Add LoRANameTable, which the scheduler fills from
--lora-paths and on each successful adapter load. In the dynamo format,
BlockStored carries lora_name from this table. The Rust tree core passes
extra_key to Python for the lookup; it is not published.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>
Add KVEventsConfig.format, "default" or "dynamo". The default format is
the same as before. The dynamo format follows the event contract of the
Dynamo KV router: namespaced block hashes and lora_name. The scheduler
passes the format to the cache, and EventPublisherFactory drops it before
it builds the publisher.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>

@ShangmingCai ShangmingCai left a comment

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LGTM

@ShangmingCai

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/tag-and-rerun-ci

@github-actions github-actions Bot added the run-ci CI: run the baseline test suite on this PR label Oct 11, 2026
Resolve conflicts in radix_cache.py (keep main's disabled-tree gate plus the
dynamo format arguments) and test_radix_cache_unit.py (imports).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
@ShangmingCai
ShangmingCai force-pushed the livingshade/kv-events-namespaced-hashes branch from c2b2996 to 541124f Compare October 11, 2026 08:49
@ShangmingCai ShangmingCai added highest-priority CI: all three control labels, plus never batch-cancelled or stale-closed bypass-fail-fast CI: a failing job no longer aborts its siblings (lint still gates) labels Oct 11, 2026
@ShangmingCai
ShangmingCai merged commit d62b9c2 into sgl-project:main Oct 11, 2026
219 of 244 checks passed
nvpohanh added a commit to weireweire/sglang that referenced this pull request Oct 13, 2026
Resolve the conflict in rust/sglang-radix-tree/src/python_bindings.rs
with the PyO3 0.29 upgrade (sgl-project#42807) and the dynamo_kv_event_format
binding parameter (sgl-project#42455): convert the EvictExcessPathStates action
with into_py_any, keep both dynamo_kv_event_format and
swa_max_states_per_path in TreeCoreInitParamsBinding, and call the
two-argument evict_excess_path_states under py.detach.

sgl-project#42923 replaced MatchResult.device_indices with device_prefix_len, so
the SWA path-cap fixture tests now read device_prefix_len.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Jiminator added a commit that referenced this pull request Oct 16, 2026
Sync the integration branch with upstream main on top of dev's PR100 and
PR107.

Conflict resolutions:
- weight_updater: keep PR107's streamed-LoRA structure (base_tensors
  gating) and take main's flush_cache_after_weight_update, which returns
  (success, message) so a refused flush fails the update (#43758).
- scheduler: keep PR107's removal of load_lora_adapter_from_tensors;
  register the KV-event LoRA name in register_lora_adapter instead
  (#42455).
- anthropic/serving: keep both the ValueError 400 handler and main's
  HTTPException passthrough (#43796).
- test_serving_chat: keep the Beam thinking-replay test; drop the spec
  enumeration test main removed (#43503).
- test_dflash_logits: drop the published_topology import main's fixture
  removal left unused.
- test_fused_moe_common_utils: main deleted the file (#43503); keep only
  the Beam MoE tuner case.

Adaptations to the main runtime contract in PR100/PR107 tests:
- test_server_args: state the single-rank NCCL guard case as
  attn_dp_size=1; attention DP no longer counts toward dp_size.
- test_lora_upsert: stub LoRAManager.attn_dp_enabled, the renamed field
  the load path reads.
Jianhong-Zhang added a commit to Jianhong-Zhang/sglang that referenced this pull request Oct 21, 2026
* [diffusion] perf: pipeline MiniMax-H3's Ulysses exchange against cuDNN SDPA on Blackwell (sgl-project#43373)

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* [rust-server] preserve PD routing in chat and completions (sgl-project#42989)

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* [Rust] Upgrade sglang-radix-tree to PyO3 0.29 (sgl-project#42807)

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* [CI] Fix EAGLE3 CUDA parity prefill chunk alignment (sgl-project#43538)

* [diffusion] perf: pipeline every USPAttention Ulysses path's exchange over the copy engine (sgl-project#43521)

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* [Responses] Fix max_output_tokens overestimate on multimodal requests (sgl-project#35524)

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* [MemCache] refactor: require an anchored lock receipt for non-root releases (sgl-project#41452)

* [HiCache] Add staged write-back for the page-unified KV cache layout (sgl-project#39606)

* [kv-shard 3/4] Enable Control Plane C (sgl-project#40102)

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* [Refactor] Decide an exit's fixed facts when the stage is built (sgl-project#43458)

* [Refactor] Declare pipeline neighbours from a shared declaration function (sgl-project#43459)

* [Refactor] Declare every model's stages from a shared function and drop the meta-device neighbour build (sgl-project#43460)

* [CI] Fix Kimi-Linear DCP PD test startup (sgl-project#43598)

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* [Model] Keep gpt-oss router logits batch-invariant under deterministic inference (sgl-project#43624)

* [Dsv4.1] Mega-mhc integration (sgl-project#42808)

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* [diffusion] fix: accept request-level profiling on the image API (sgl-project#43573)

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* [diffusion] feat: bind each GPU worker to its GPU's NUMA node (sgl-project#43565)

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* [diffusion] fix: skip inductor's saved multi-kernel pick for torch.compile (Z-Image warm starts crash or hang) (sgl-project#43601)

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* [diffusion] comfyui: fail early instead of silently dropping features in SGLD integrated mode (sgl-project#43495)

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* [Fix] Reserve remaining tokens for ignore_eos requests during prefill admission (sgl-project#43564)

* [DSA] Support TileLang FP8 KV cache on CUDA (sgl-project#42957)

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* fix: wait for HiCache load-back before hybrid MLA KV reads (sgl-project#38217)

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Co-authored-by: alphabetc1 <2508695655@qq.com>

* [diffusion] fix: keep the overlay probe from stalling cached startup (sgl-project#43590)

* [diffusion] fix: serve whole graphs after offload-during-compile (sgl-project#43631)

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* [diffusion] Support LLaDA-Image BF16 generation and editing (sgl-project#37907)

* [PD][HiCache] Fold the decode restore outcome into the MIN-reduced KV poll (sgl-project#43562)

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* [KDA] Support Helion MTP verification and harden prefill, decode (sgl-project#42857)

* [AMD]Qwen add Sparse attention to capturing hip graphs (sgl-project#43383)

* [Spec] Allow Qwen3.5 backends to opt into packed target verification (sgl-project#43037)

* [qwen 3.8 next] Fuse QSA prefill KV gathering and dtype conversion (sgl-project#41933)

* [Scheduler] Requeue preempted requests when admission admits nothing (sgl-project#43298)

* [Test] Do not hang scripted-runtime teardown when the server died (sgl-project#43285)

* [KV canary] Expect sweep counters on the target runner only (sgl-project#43286)

* [Scheduler] Hold back decode rows on a mixed step when they do not fit the KV pool (sgl-project#43290)

* [Sampler] Sort only the max(top_k) leading columns in the torch sampler (sgl-project#43346)

* [Scheduler] Keep a DP-converted decode batch as the running batch (sgl-project#43283)

* [kvevents] fix missing topics in replayed kv events (sgl-project#43386)

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* [DeepSeek-V4.1] Use num_stages=1 for the hc_mix stats partial kernel (sgl-project#43070)

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* fix: default Inkling to fa4 on Hopper (sgl-project#35292)

* [BugFix][DP] Prevent health checks from perturbing user request routing (sgl-project#35721)

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* [Unified Radix] Invalidate lazy Mamba checkpoints before in-place tracking (sgl-project#43567)

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* [KV Events] Publish LoRA adapter names and namespaced block hashes (sgl-project#42455)

Signed-off-by: Banruo Liu <lichangxinlivingshade@gmail.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>

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* [DSpark] Add `MarkovSampleStep`, one op for a markov draft step's add and token pick (sgl-project#43621)

* [DSpark] Draft the eager markov block through `MarkovSampleStep` (sgl-project#43622)

* [DSpark] Run the same markov block in the draft graph tail; drop `SGLANG_DSPARK_FOLDED_SAMPLING` (sgl-project#43668)

* [DSpark] Merge the draft TP sync sites into `dspark-draft` (sgl-project#43669)

* [DSpark] Add `SGLANG_DSPARK_USE_GREEDY_DRAFT`, an argmax draft accepted as one-hot (sgl-project#43670)

* [DSpark] Apply `SGLANG_SIMULATE_ACC_LEN` inside the accept instead of switching paths (sgl-project#43623)

* [diffusion] fix: shard Qwen-Image adaLN modulation and text FFN under TP (sgl-project#43691)

* [diffusion] perf: layerwise offload for the LTX-2.5 Gemma-4 text encoder (sgl-project#43683)

* [diffusion] perf: split and batch LTX-2.3 one-stage guidance passes under CFG parallel (sgl-project#43684)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [Fix] Initialize BF16 GEMM dispatch in the one-batch benchmark (sgl-project#43702)

* Fix Mistral-native format detection when the Hub is unreachable (sgl-project#43446)

* [MoE] Skip block-padding rows in the TMA down activation and quant (sgl-project#42212)

* [MemCache] Split the SWA mapping move out of locked-full recovery as `RecoverEvictedSWA` (sgl-project#43721)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: Jialin <Jialin@users.noreply.github.com>

* [Rust] Lock hyper 1.12.0 and want 0.3.2 in the rust workspace (sgl-project#43724)

Co-authored-by: hanminglu <hanminglu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [MemCache] Add shared component size and path APIs to the tree core interface (sgl-project#43722)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: Jialin <Jialin@users.noreply.github.com>

* [CI] Fix TestQwenImageModulationCache after Qwen-Image modulation sharding (sgl-project#43747)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Bugfix] Preserve available host memory for integrated MUSA devices (sgl-project#43398)

Signed-off-by: Xucheng Zhou <aden1350@outlook.com>

* [Tokenizer] Require fastokens>=0.3.2 and include it in the all extra (sgl-project#43104)

* [AMD][V4.1][*/N] Fix DP attention + TP MoE decode NaN and support bounded replay (sgl-project#43077)

Co-authored-by: wunhuang <wunhuang@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>

* Support kv cache sharding for DSA indexer (sgl-project#40925)

* [AMD][MORI] Add MORI EP V2 support (sgl-project#40666)

* [PD] Retract transferred decode requests on a retract pause (sgl-project#43757)

* [DSV4.1] Reduce eager Engram extend preparation (sgl-project#42159)

Co-authored-by: Shangming Cai <csmthu@gmail.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Test] Re-anchor the VLM flashinfer throughput floor (sgl-project#43762)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [Fix] scheduler: stop latching batch_is_full when nothing can run (sgl-project#41872)

Co-authored-by: hnyls2002 <lsyincs@gmail.com>
Co-authored-by: Liangsheng Yin <hnyls2002@gmail.com>

* [RL] Return a failed weight update when the cache flush is refused (sgl-project#43758)

* [CI] Skip eval retries in the PD transfer-failure test (sgl-project#43769)

* docs: sync LMSYS SGLang blog cards (sgl-project#43462)

Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>

* [Deps] Bump FlashInfer to 0.7.1 (sgl-project#43494)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [XPU CI] Optimize PR CI per-file timeouts and fail hanging tests fast (sgl-project#42048)

* [Fix] Adapt to transformers 5.18 / 5.19 changes (sgl-project#43688)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [diffusion][xpu] FLUX.2: enable the bit-exact Triton SwiGLU on XPU (sgl-project#41940)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* docs: clarify prefill CP terminology and simplify wording (sgl-project#43787)

* [Fix] Link cuda_ipc JIT against CUDA driver stubs dir (sgl-project#43764)

* [Perf] Route BF16 mixed-batch decode tails through decode attention (sgl-project#43238)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [PD] Poison the deferred abort ack when a Mooncake send fails (sgl-project#43719)

Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>

* [HiCache] Support Mamba in buffer-only host memory mode (sgl-project#36345)

* [HiCache] Preserve all MTP KV and recurrent state (sgl-project#40223)

Co-authored-by: alphabetc1 <2508695655@qq.com>
Co-authored-by: Shuwen Wang <47200617+alphabetc1@users.noreply.github.com>

* [CI] Move tests that do not need GB300 off the per-PR GB300 suite (sgl-project#43784)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Capture KV host transfer buffers (sgl-project#43711)

* Keep NIXL Mamba checkpoint keys separate by TP rank (sgl-project#43594)

* [XPU] Support decode context parallelism (DCP) on Intel XPU (sgl-project#34355)

Co-authored-by: Siju Samuel <siju.samuel@intel.com>

* [BCG][DSV4-Flash][CP] Support DeepSeek V4 prefill with interleave CP and breakable CUDA graphs (sgl-project#38603)

* [DSV4.1][PD][1/N] Support prefill node use cp parallel strategy (sgl-project#40323)

* [Docs] Update GLM-5.3-Flash playground: B300 default, CP8, EP and PD (sgl-project#43802)

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (GLM-5.2 B300, DeepSeek-V4.1 GB300) (sgl-project#43799)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NPU] Stabilize HiCache and registered CI tests (sgl-project#43308)

* [sgl-router] Serve the Anthropic Messages API on /v1/messages (sgl-project#42316)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [Fix] Make tokenizer request-state initialization atomic (sgl-project#41911)

Co-authored-by: Cheng Wan <54331508+ch-wan@users.noreply.github.com>

* [XPU] Upgrade XPU backend to PyTorch 2.14 (sgl-project#42003)

Co-authored-by: Ashwini Rathi <arathi@habana.ai>
Co-authored-by: Y <ashwini.rathi@intel.com>
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* [PD][Spec] Give a PD decode's first EAGLE draft step a proposal distribution (sgl-project#41783)

Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Fix] Adapt NPU Qwen-VL processor patch to transformers 5.19 resize() signature change (sgl-project#43309)

* [NPU] Diffusion CI fixes (sgl-project#43210)

* [diffusion] chore: bind worker CPUs to the GPU's NUMA node when memory policy is not permitted (sgl-project#43756)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [CI][Diffusion] Add caching for npu GT images in CI (sgl-project#37426)

Co-authored-by: Артем Савкин <58187114+OrangeRedeng@users.noreply.github.com>

* [QSA] Bound the decode indexer's work by the context length (sgl-project#43463)

Co-authored-by: luoyuan.luo <luoyuan.luo@antgroup.com>

* Prebuild fixup_zero_kv JIT module at TRTLLM-MLA backend init (sgl-project#37525)

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>

* [Unified Cache] Abort requests whose external linker load fails instead of crashing the scheduler (sgl-project#40896)

* [DSpark] Share draft params, logits dtype, confidence and the accept tail between graph and eager (sgl-project#43790)

* [DFlash] Decide the Domino candidate pool in one place and apply simulated acceptance inside the accept (sgl-project#43791)

* Fix autograd retention in CUDA graph capture tail hooks (sgl-project#43854)

* [ROCm] Eliminate HiCache migration stalls and use exact-size host allocations (sgl-project#42553)

Signed-off-by: JohnQinAMD <yanyuan.qin@amd.com>
Co-authored-by: JohnQinAMD <yanyuan.qin@amd.com>

* [AMD] Keep the FP4 varctx schedule test off AITER's 2048-row compile (sgl-project#41793)

* [AMD] Add flydsl mxfp8 dense gemm kernel for dpsk v4.1 prefill (sgl-project#43803)

* [AMD] Fix test_compact_attention_hip.py CI (sgl-project#43836)

* [AMD] [Docker] Update MoRI to v1.2.4 (sgl-project#43834)

* [Kernel] Expose bundled FlashMLA MegaAttention kernels and APIs (sgl-project#43918)

* [DeepSeek-V4.1] Admit the NIXL transfer backend for DSpark PD (sgl-project#43734)

* [AMD] Recalibrate test_quark_mxfp4 GSM8K thresholds to observed MI355X noise (sgl-project#41980)

* [DSV4][CP] Write low-ratio page indices when CP prefill runs paged attention (sgl-project#43935)

* [Build][CI] Drop Python 3.10: require Python 3.11+ and run CUDA CI on Python 3.12 (sgl-project#43021)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>
Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [DeepSeek-V4.1] mHC: drop seam_open, narrow precomputed stats in take_rows (sgl-project#43833)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSv4.1] Reduce sparse-prefill workspace padding (sgl-project#43921)

* [HiCache] Avoid full-store scans for uncached file prefix lookups (sgl-project#42077)

Signed-off-by: apex-mochen <2756823972@qq.com>
Co-authored-by: apex-mochen <265981728+apex-mochen@users.noreply.github.com>
Co-authored-by: Zhiqiang Xie <xiezhq@stanford.edu>

* [Fix] Preserve HTTP errors for non-streaming /v1/messages (sgl-project#43796)

Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [DSv4.1] Temporarily disable B300 PD/CP accuracy test (sgl-project#43948)

* [PD] Recompute retracted DeepSeek-V4 requests on prefill instead of crashing decode (sgl-project#43936)

* [Fix] Account for captured inputs in DeepGEMM masked workspace budget (sgl-project#43563)

* [AMD] Update v4 amd cookbook 1012 (sgl-project#43962)

* [CI] Remove Mistral Small 4 e2e test (sgl-project#43973)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* Reuse Hugging Face LFM2-MoE configuration (sgl-project#43939)

Co-authored-by: Codex <codex@openai.com>

* fix(openai): honor tool_choice=none in DeepSeek encoders (sgl-project#43006)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [diffusion] comfyui: run MiniMax H3, FastH3 and VDN in SGLD integrated mode (sgl-project#43504)

* [diffusion] fix: keep MiniMax-H3 VAE fused norms off ROCm (sgl-project#43350)

* [diffusion] fix: avoid redundant LoRA scaling while preserving exact numerics (sgl-project#43028)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* tokenizer perf optimization (sgl-project#39771)

Co-authored-by: BBuf <1182563586@qq.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* [diffusion] perf: implement paint_use_remesh (decimate to 40k faces before UV unwrap) for Hunyuan3D (sgl-project#42770)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD][Kimi-K3] Use public FlyDSL APIs in KDA decode kernels (sgl-project#43968)

Co-authored-by: wunhuang <wunhuang@amd.com>

* [AMD] Fix Flux2 kv-gather abort on non-contiguous K/V (sgl-project#43793)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* [AMD] Fuse prefill index-Q RoPE fake-quant and fp4 quantize kernels in DSV4.1 (sgl-project#42911)

* [AMD][DI][CI] dsv4pro-fp8 2p1d-ep16-mtp: raise prefill mem fraction for MORI EP v2 memory (sgl-project#43944)

* [router] Fix power_of_two with --dp-aware (sgl-project#42027)

* [ROCm][Spec] Route NGRAM tree reconstruction to the JIT kernel on HIP (sgl-project#43328)

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Thomas Wang <thomawan@amd.com>

* [PD] Support heterogeneous TP for hybrid SWA KV transfer (sgl-project#40909)

* [Diffusion] Speed up LTX-2 guidance and video output (sgl-project#43667)

* [AMD][PD] enable mori transfer for PD decode DCP (sgl-project#37358)

Signed-off-by: inkcherry <mingzhi.liu@amd.com>
Co-authored-by: Duyi-Wang <duyi.wang@amd.com>
Co-authored-by: HAI <hixiao@gmail.com>
Co-authored-by: Shangming Cai <csmthu@gmail.com>

* [Docs] Cookbook: refresh SemiAnalysis AgentX launches (DeepSeek-V4.1 GB200/GB300, GLM-5.2 FP8 B300) (sgl-project#43983)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [PD][NIXL] Fix staging buffer startup by accepting slot_layer_ids (sgl-project#43723)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [router] power_of_two: in-flight request load for --dp-aware decode (sgl-project#43483)

* [Perf] Enable fast-math for JIT activations on Blackwell (sgl-project#43236)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [NVIDIA][MegaMoE] Fix the default spec decoding moe backend when the target model uses flashinfer megamoe (sgl-project#40772)

Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [HiCache][PD] Allow DSA index-K elision under HiCache and disaggregation (sgl-project#41769)

Co-authored-by: Anish Shanbhag <ashanbhag@nvidia.com>

* [CI] Use sgl-eval for GLM-5.3-Flash GSM8K tests (sgl-project#43975)

Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [FlashInfer] Add startup autotuning for MegaMoE (sgl-project#43789)

* [Perf] Compact GDN causal-conv grids for skewed prefill batches (sgl-project#43570)

* [AMD][CI] Run test_tracing.py in the extra tier, matching CUDA (sgl-project#43928)

Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

* Fix EVS for NemotronH_Omni_Reasoning_V3 (sgl-project#42933)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* fix(multimodal): convert grayscale tensors to RGB in PIL backend (sgl-project#42127)

Co-authored-by: 周云昊 <zhouyunhao@zhouyunhaodeMacBook-Pro.local>

* [diffusion] comfyui: run Qwen-Image 2.1 in SGLD integrated mode (sgl-project#43581)

* [diffusion] feat: add configurable reference image resizing for MiniMax H3 Ref2VA (sgl-project#35839)

Co-authored-by: Mick Qian <mickqian@users.noreply.github.com>

* Fix/compressed tensors nvfp4 hopper (sgl-project#40022)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* [NPU] [DOC] update kimi k3 cookbook and supported features on NPU (sgl-project#44052)

* [DSA] Q8KV8 FP8 Sparse Prefill on GLM-5.3-Flash with BF16 KV Cache (sgl-project#41790)

Co-authored-by: Xiaoyu Zhang <1182563586@qq.com>

* [CI] Run test_pi05_modelopt_fp8_cuda in the kernel-unit lane (sgl-project#44055)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* fix(openai): omit absent tool_calls from chat responses (sgl-project#43027)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <xinyuantong.cs@gmail.com>

* Skip fully-masked KV tiles in sliding-window extend attention (sgl-project#39769)

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix(openai): keep chat stream created timestamp stable (sgl-project#43026)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* fix(openai): preserve zero cached tokens when cache reporting is enabled (sgl-project#43005)

Co-authored-by: ai-jz <ai-jz@users.noreply.github.com>
Co-authored-by: Xinyuan Tong <115166877+JustinTong0323@users.noreply.github.com>

* [AMD][DI][CI] glm52 2p1d-ep16: capture CUDA graph on decode (eager decode is too slow) (sgl-project#43977)

* [AMD][DI][CI] kimik26 2p1d-ep16: capture CUDA graph on decode (eager decode is slow) (sgl-project#43985)

* [perf] [multi-lora] remove empty CTAs from fused LoRA expand and add split-K to shrink (sgl-project#41951)

Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* Rainj me/rust bench (sgl-project#43950)

* [Observability] Report per-request storage prefetch and staging waits in meta_info (sgl-project#43946)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [lora] Support LoRA for the NemotronH_Nano_VL_V2 model family (sgl-project#39798)

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
Co-authored-by: Po-Han Huang <pohanh@nvidia.com>
Co-authored-by: Yanbin Jiang <jybsuper@gmail.com>

* [Rust] Refuse an unsupported multimodal model before the Rust listener binds (sgl-project#43925)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Keep request priority within the signed 64-bit range in radix caches (sgl-project#43920)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: qandrew <qandrew@users.noreply.github.com>

* [DCP] Decode context parallelism for DSA (GLM-5.2 / GLM-5.3) with MTP (sgl-project#43735)

Co-authored-by: vincentzed <207368749+vincentzed@users.noreply.github.com>

* [HiCache] Block-group pool hits, caller-owned load destinations, allocation-target FULL eviction (sgl-project#43868)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [Rust] Let an embedding package wrap the frontend HTTP app (sgl-project#43924)

Co-authored-by: hanminglu <hanminglu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* [Core] Add request-level customized_info keys and mark Full prefill capture batches (sgl-project#43772)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: jiayisuse <jiayisuse@users.noreply.github.com>

* [HiCache] Extract the buffer-mode prefetch and load-back lifecycle into pipeline operations (sgl-project#43870)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: xiezhq-hermann <xiezhq-hermann@users.noreply.github.com>

* [unified memory pool] Prefer SWA reclaim quotas with a HiCache storage backend or on PD decode (sgl-project#43919)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: ZYHowell <ZYHowell@users.noreply.github.com>

* [Rust] Serve any `model` name on the OpenAI chat and completions routes (sgl-project#43923)

Co-authored-by: Hanming Lu <69857889+hanming-lu@users.noreply.github.com>
Co-authored-by: shodoco <shodoco@users.noreply.github.com>

* docs: add MiniCPM-V 4.7 cookbook (sgl-project#43829)

* [Feature] Add Aaronson-Gumbel text watermarking (sgl-project#37577)

Co-authored-by: Nihar Patel <nihpat95@gmail.com>

* [HiSparse] Add speculative decoding support with multi-step KV cache swapping (sgl-project#37771)

* [gRPC] Move runtime.v1 bindings to tonic 0.14, report OpenAI status codes, return text on request (sgl-project#42673)

Co-authored-by: Kan Wu <kan.wu@radixark.ai>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DeepSeek-V4.1] Run decoder SWA bounded replay inside the breakable prefill CUDA graph (sgl-project#43736)

* fix(benchmark): request token IDs when counting OpenAI prompts (sgl-project#34511)

Co-authored-by: Zijie Xia <zijie.xia@radixark.ai>

* Mark FP32 redux asm volatile (sgl-project#44137)

* [Score] Send stacked GPU embedding overrides through a CUDA IPC pool (sgl-project#39730)

Co-authored-by: Sundara Raman Ramachandran <sundar24295@gmail.com>
Co-authored-by: hnyls2002 <lsyincs@gmail.com>

* [Feature] Return output top logprobs as flat base64 arrays on request (sgl-project#42890)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [DSV4.1] Support decoder SWA bounded replay with CUDA DP attention (sgl-project#43812)

* GLM5.2 DSA Indexer Fallback (sgl-project#32947)

Co-authored-by: Shu Wang <shuw@login-hecate03.hecate.clusters.nvidia.com>
Co-authored-by: Po-Han Huang (NVIDIA) <53919306+nvpohanh@users.noreply.github.com>

* [Fix] Work around a CPython fork deadlock in the CPU preprocess pool (sgl-project#44143)

* [DSV4.1] Skip Mega mHC fusion on 0-row (DP-idle) batches (sgl-project#43993)

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>

* [Chore] release: Cherry-pick [Disagg] Return prompt routed experts from the PD prefill server to release/v0.5.22 (sgl-project#44002) (sgl-project#44212)

Co-authored-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

* [Chore] release: Cherry-pick [CI] glm5.2: Temporarily disable PD HiSparse+MTP B300 test to release/v0.5.22 (sgl-project#44192) (sgl-project#44214)

Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
Co-authored-by: Mohammad Angkad <mohammad.angkad@radixark.ai>

* [XPU] Fix FP8 KV cache support for ModelOpt quantized models (e.g. Llama-3.3-70B-FP8)

* [XPU] Add MXFP4 W4A16 MoE inference support for Intel Xe2 (GPT-OSS)

Enable MXFP4 quantized inference on XPU using the native Xe2 SYCL
fused_experts kernel (sgl-kernel-xpu PR#184).

- quantization/__init__.py: register mxfp4 quantization method for XPU
- quantization/fp4_utils.py: broaden flashinfer import exception to avoid
  crash on XPU where flashinfer is unavailable
- quantization/mxfp4.py:
  - align intermediate size to 64 for XPU (create_weights)
  - skip CPU dequant on XPU; leave weights as packed uint8 in VRAM
    (process_weights_after_loading)
  - add XPU dispatch in apply(): call sgl_kernel.fused_experts with
    use_mxfp4_w4a16=True; convert UE8M0 uint8 scales to float32 via
    exp2(uint8 - 127); default gemm1_alpha=1.702 / gemm1_limit=7.0 to
    select activation_type=2 (ACT_SWIGLU_GPT_OSS, interleaved weight
    layout required by GPT-OSS MXFP4 checkpoints)
- models/gpt_oss.py: replace hardcoded .cuda() with .to(get_device())
  in weight loading to support XPU

* [XPU] Improvement for fp4 and fp8

 Optimize FP8 KV cache: lazy mirror buffer to avoid full cast per step
 Fix MXFP4 MoE: read activation/gemm1 params from model config instead of GPT-OSS hardcoded values

* Remove WA for FP8 KV cache

* Add analyze support for XPU

* [Intel][XPU] Allow mamba extra_buffer radix cache strategy on XPU (#9)

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---------

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bypass-fail-fast CI: a failing job no longer aborts its siblings (lint still gates) highest-priority CI: all three control labels, plus never batch-cancelled or stale-closed run-ci CI: run the baseline test suite on this PR unified-radix-cache

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