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[model-gateway] reducing cpu overhead in various of places#14658

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slin1237 merged 9 commits intomainfrom
cpu-overhead
Dec 8, 2025
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[model-gateway] reducing cpu overhead in various of places#14658
slin1237 merged 9 commits intomainfrom
cpu-overhead

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@slin1237 slin1237 commented Dec 8, 2025

Summary

This PR reduces CPU overhead in the HTTP router hot path through a series of targeted optimizations across multiple layers: routing, validation, middleware, worker management, and load balancing policies.

Changes by Layer

HTTP Router (src/routers/)

  • Worker lookup caching: Reduced redundant worker_registry.get_by_url() calls from 4+ to 1 per request
  • SIMD stream scanning: Replaced windows(12) byte scanning with memchr::memmem::find() for data: [DONE] detection
  • Header pre-filtering: Filter headers once before worker loop instead of inside each iteration
  • Conditional debug logging: Wrap expensive serde_json::to_string() in tracing::enabled!() check
  • String comparison: Use eq_ignore_ascii_case() instead of to_lowercase() throughout header handling

Request Validation (src/protocols/)

  • Request ID generation: Changed from chars().nth() (O(n) per char) to byte array indexing (O(1))
  • Text extraction: Rewrote extract_text_for_routing() to use single buffer instead of Vec<String>.join()
  • Zero-copy iterators: Added StringOrArray::iter() returning &str references instead of cloning

Middleware (src/middleware.rs)

  • Latency recording: Changed from format!("{:?}", latency) to latency.as_micros() as u64
  • WASM string caching: Pre-compute method/path/query strings before WASM module loop

Worker Management (src/core/)

  • RuntimeType parsing: Use eq_ignore_ascii_case() instead of to_lowercase().as_str()
  • worker_to_info(): Cache worker_type(), connection_mode(), url() to avoid redundant clones
  • normalised_url(): Remove redundant contains("@") check before rfind('@')
  • WorkerRegistry::stats(): Iterate DashMap directly instead of cloning all workers via get_all()
  • Model counting: Count models by iteration instead of allocating Vec<String>

Policy Registry (src/policies/registry.rs)

  • Double lock fix: Cache prefill_policy and decode_policy to avoid acquiring prefill_policy lock twice in get_all_power_of_two_policies()

Load Balancing Policies (src/policies/)

  • power_of_two.rs:
    • Change info! to debug! for per-request logging
    • O(1) deterministic second random selection instead of retry loop
  • cache_aware.rs: Compute min/max load in single pass without Vec allocation
  • bucket.rs: Change info! to debug! for per-request status logging

Checklist

  • No breaking API changes
  • All optimizations are backward compatible
  • Debug logging preserved for troubleshooting (just demoted from info level)
  • No changes to external behavior

Checklist

  get_by_url() calls per request
- Replace sliding window search with SIMD-optimized memchr::memmem
  for stream end marker detection
- Pre-filter headers before worker loop in route_simple_request
  to avoid repeated lowercasing per worker
- Use eq_ignore_ascii_case() instead of to_lowercase() to avoid
  string allocations in header comparisons
- Add conditional check for debug logging to avoid JSON serialization
  when debug is disabled
- Cache get_all() result in router_manager to avoid duplicate calls
  of chars().nth() which is O(n) per character. Saves ~1500 operations
  per request.

- Optimize extract_text_for_routing: use single buffer with direct
  string appending instead of intermediate Vec<String> collection
  and join. Eliminates multiple allocations per request.

- Add MessageContent.append_text_to() method for efficient buffer
  building without intermediate string allocations.

- Add MessageContent.has_text() method for quick existence check
  without string creation.

- Add StringOrArray.iter() method that returns string references
  without cloning the underlying data.

- Add StringOrArray.first() method for quick access to first element.

- Improve to_simple_string() to use Vec<&str> instead of Vec<String>
  for parts concatenation, reducing allocations.
- Replace format!("{:?}", latency) with latency.as_micros() to avoid
  string allocation on every response

- Pre-compute method, path, and query strings before WASM module loop
  to avoid repeated allocations per module iteration
- RuntimeType::from_str: Use eq_ignore_ascii_case() instead of
  to_lowercase() to avoid String allocation per parse

- worker_to_info: Use Display format (.to_string()) instead of
  Debug format (format!("{:?}"...)) for connection_mode - avoids
  unnecessary formatting overhead

- WorkerRegistry::stats(): Iterate DashMap directly instead of
  calling get_all() which clones ALL workers into a Vec first.
  This avoids N Arc clones per stats() call where N = worker count
- worker_to_info(): Cache worker_type(), connection_mode(), url(),
  and model_id() to avoid redundant clones and allocations.
  Previously called worker_type() twice, connection_mode() twice,
  and url() twice per invocation.

- normalised_url(): Remove redundant contains("@") check before
  rfind('@'). The rfind already returns None if '@' is not found,
  so the contains() call was an extra O(n) scan.

- WorkerRegistry::stats(): Count models by iterating directly
  instead of calling get_models().len() which allocates a
  Vec<String> just to count elements.
In get_all_power_of_two_policies(), the code was acquiring the
prefill_policy read lock twice:
1. First at line 284 to check if prefill policy is power_of_two
2. Again at lines 293-298 inside the decode policy check

This caused unnecessary lock contention. Fixed by caching both
prefill_policy and decode_policy at the start and reusing the
cached values for subsequent checks.
@github-actions github-actions bot added dependencies Pull requests that update a dependency file model-gateway labels Dec 8, 2025
@slin1237 slin1237 changed the title Cpu overhead [model-gateway] reducing cpu overhead in various of places Dec 8, 2025
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Summary of Changes

Hello @slin1237, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly reduces CPU overhead in the HTTP router's hot path by implementing a series of targeted optimizations across various layers of the application. These changes focus on minimizing allocations, reducing redundant computations, and improving the efficiency of string operations, data structures, and logging, ultimately leading to a more performant and resource-efficient gateway.

Highlights

  • HTTP Router Optimizations: Reduced redundant worker lookups, improved stream scanning with SIMD (memchr), pre-filtered headers once per request, added conditional debug logging for expensive operations, and used eq_ignore_ascii_case for header comparisons to avoid allocations.
  • Request Validation Enhancements: Optimized request ID generation using byte array indexing (O(1)), rewrote text extraction to use a single buffer, and introduced zero-copy iterators for StringOrArray.
  • Middleware Efficiency: Changed latency recording to use u64 microseconds directly and pre-computed WASM method/path/query strings to avoid repeated allocations.
  • Worker Management Refinements: Switched RuntimeType parsing to eq_ignore_ascii_case, cached worker properties in worker_to_info, removed redundant checks in normalised_url, and optimized WorkerRegistry::stats() by iterating directly and counting models without intermediate Vec allocations.
  • Policy Registry Lock Reduction: Cached prefill_policy and decode_policy to prevent double-locking in policy retrieval logic.
  • Load Balancing Policy Improvements: Demoted per-request logging from info! to debug!, implemented O(1) deterministic second random selection in power_of_two.rs, and computed min/max load in a single pass in cache_aware.rs.
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Code Review

This is an excellent pull request that delivers a comprehensive suite of performance optimizations across the model gateway. The changes are well-targeted at reducing CPU overhead in hot paths, including routing, validation, middleware, and worker management. Key improvements like replacing expensive string operations, caching frequently accessed data, using SIMD-accelerated libraries, and improving algorithms are all implemented correctly and idiomatically. The fix for potential lock contention in the policy registry is also a valuable improvement. Overall, these changes significantly enhance the performance and efficiency of the gateway with high-quality, well-documented code.

@slin1237 slin1237 merged commit d69ecc1 into main Dec 8, 2025
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@slin1237 slin1237 deleted the cpu-overhead branch December 8, 2025 17:44
Kevin-XiongC pushed a commit to novitalabs/sglang that referenced this pull request Dec 9, 2025
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* fix: make override DeepseekV2Model work (sgl-project#14707)

* chore: add code owners for deepseek_v2.py (sgl-project#14714)

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ZhengdQin added a commit to ZhengdQin/sglang that referenced this pull request Jan 16, 2026
* [model-gateway] extract conversation out of oai router (sgl-project#14440)

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* [DeepseekV3.2][NSA][Indexer] Fix PAGED top-k transform for NSA indexer chunked execution on H200 (sgl-project#14325)

* [model-gateway] move oai header util to router header util (sgl-project#14441)

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* [FIX] trtllm-moe-fp4-renorm for Qwen series models (sgl-project#14350)

* add doc for quantized kv cache (sgl-project#14348)

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* fix: Correct environment variable syntax in docker-compose configuration (sgl-project#8287)

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* [model-gateway] move all responses api event from oai to proto (sgl-project#14446)

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* [model-gateway] add mistral 3 image processor (sgl-project#14445)

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* ministral3 (sgl-project#14251)

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* [Bug] fix not desired disable fused share experts caused by rocm logic (sgl-project#14432)

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* [diffusion] improve: further optimize model load (sgl-project#13836)

* Add CI permissions for user 'yushengsu-thu' (sgl-project#14468)

* [ez] Fix typing (sgl-project#14473)

* Add AMD stage support to /rerun-stage command and fix related bugs (sgl-project#14463)

* Add YAMY1234 to CI Permission (sgl-project#14475)

* clean up gemlite usage (sgl-project#14444)

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* [diffusion] fix: fix bug about pin memory when offloading (sgl-project#14472)

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* dockerfile: add runtime stage + ubuntu 24.04 (sgl-project#13861)

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* Enable RadixCache for Mamba2 models (sgl-project#13584)

* [diffusion] fix: Fix profiler trace missing Python stack in diffusion pipeline (sgl-project#14499)

* support GLM-V vision model dp  (sgl-project#14097)

* [misc] add model arch and type to server info and use it for harmony (sgl-project#14456)

* Add Mistral Large 3 Eagle Support (sgl-project#14466)

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* Add Mistral Large 3 to nightly CI tests (sgl-project#14459)

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* [Spec] Mamba2 support in target models (sgl-project#13434)

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* Add fused FP8 KV cache write kernel for TRTLLM MHA backend (sgl-project#14093)

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* [model-gateway] Add WASM support for middleware (sgl-project#12471)

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* Fix removing worker will make it healthy forever in prometheus metrics (sgl-project#14420)

* [model-gateway] Make Tokenizer Builder Aware of Env Vars Like HF_ENDPOINT (sgl-project#14405)

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* [model-gateway] fix logs in smg workflow (sgl-project#14513)

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* Tiny use trtllm_mha as default when possible (sgl-project#14291)

* [Docs] Add /rerun-stage command to contribution guide (sgl-project#14521)

* Fix safetensors validation to catch corruption after download (sgl-project#14465)

* [CODEOWNER] update codeowner for qwen3-next related (sgl-project#14522)

* fix: fix rmsnorm -> layernorm in qwen3 omni (sgl-project#11791)

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* [diffusion] chore: temporarily upgrade diffusers to make Z-image compatible with Cache-DiT (sgl-project#14530)

* [bug] fix notebook to include new keys from model_info (sgl-project#14528)

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* [CPU] add mamba fla kernels for Qwen3-next (sgl-project#12324)

* Revert "tiny remove deprecated endpoint call" (sgl-project#14533)

* support mtp with deepseek r1 nvfp4 model (sgl-project#13115)

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* [diffusion] refactor: simplify sampling params' override logic (sgl-project#14539)

* [diffusion] perf: add QKV fusion optimization for Flux models (sgl-project#14505)

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* [model-gateway][tracing]: implement request tracing using OpenTelemetry with trace context propagation (HTTP) (sgl-project#13897)

* [diffusion] lora: fix LoRA dtype handling and weight attribute access for z-image model (sgl-project#14543)

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* fix "GrammarMatcher has terminated after accepting the stop token, but is trying to find the next token mask" when both reasoning and spec are enabled (sgl-project#14464)

* [1/n] Fix hanging during DeepGemm Warmup (sgl-project#14493)

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* Update DeepSeek V3 docs to use B200 (sgl-project#14447)

* [Doc] Add short explanation on page size (sgl-project#14557)

* [docs] Add missing word in argument description (sgl-project#14205)

* support piecewise cuda graph for Olmo models (sgl-project#14476)

* Enhance prefill PP node robustness (sgl-project#14494)

* DOC update nemo-skills in docs (sgl-project#14555)

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* remove unecessary dual stream token threshold from the rest of models (qwen moe, kimi linear, etc.) (sgl-project#14337)

* feat(ci): add framework target to release-docker workflows (sgl-project#14559)

* Fix attention backend logic for Qwen3-Next on SM100 (sgl-project#14560)

* [FLA] Add explicit kernel arguments to kda.py for Kimi Linear support (sgl-project#14561)

* Add CUDA kernel size analysis tool for sgl-kernel optimization (sgl-project#14544)

* [DLLM] feat: Add threshold based parallel decoding support (sgl-project#14412)

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* Add unit-test-backend-8-gpu-b200 to rerun-stage command (sgl-project#14569)

* [apply][2/2] Fused qk_norm_rope for Qwen3-MoE (sgl-project#13998)

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* Add Expert Parallelism (EP) support for kimi-k2-thinking (sgl-project#13725)

* Tiny remove wrong import from `python.sglang` (sgl-project#14577)

* Add small model test for spec v2 + dp + trtllm_mla (sgl-project#14576)

* [diffusion] cli: profiling utilities support (sgl-project#14185)

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* [NPU]LoRA: Adding Torch Native backend (sgl-project#14132)

* [BugFix] fix prefixcache performance and accuracy on ascend (sgl-project#13573)

* Fix FP8 KV Triton type issue and add regression test (sgl-project#14553)

* Rename TensorRT Model Optimizer to Model Optimizer (sgl-project#14455)

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* [CI] Tiny speed up VLM CI (sgl-project#14517)

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* [Minor] Temporarily skipping deepep large mtp test (sgl-project#14586)

* [model-gateway] extra accumulator and tool handler in oai router (sgl-project#14587)

* [model-gateway] Fixed WASM Security Vulnerability - Execution Timeout (sgl-project#14588)

* [model-gateway] reorganize metrics, logging, and otel to its own module (sgl-project#14590)

* Refactor tuning block wise kernel and opt Qwen/Qwen3-VL-32B-Instruct-FP8 (sgl-project#14141)

* [CI]Unblock and split spec v2+dp test (sgl-project#14551)

* [Tool Call] Fix DeepSeekV32Detector skipping functions with no params in streaming mode (sgl-project#14573)

* [feat] use cachebuffer to store mm feature to speedup hash (sgl-project#14386)

* [CI] Fix unit-test-backend-8-gpu-b200 running on every /rerun-stage (sgl-project#14591)

* [model-gateway] fix WASM memory limit per module (sgl-project#14600)

* Tiny fix missing policy decision recording (sgl-project#14605)

* Super tiny remove unneeded policy flag (sgl-project#14608)

* [model-gateway] refactor otel to be more efficient (sgl-project#14604)

* Super tiny remove unused select_worker_pair (sgl-project#14609)

* [model-gateway] fix WASM unbounded request/response body read vuln (sgl-project#14612)

* [2/2] Add rope kernel in sgl-kernel  (sgl-project#14452)

* [DLLM] Add initial cuda graph support (sgl-project#14203)

* Super tiny fix unused code in router (sgl-project#14618)

* [Glm46v] Bug fix for accuracy drop and unable to launch server (sgl-project#14585)

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* Fix amd rope definition (sgl-project#14556)

* modify the sgl-kernel to be compatible with transformers 5.x. (sgl-project#14625)

* [Reasoning + Structured Output] make reasoning compatible with structured output (sgl-project#12551)

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* [diffusion] feat: add support for LoRA layers in transformer_2 within LoRAPipeline (sgl-project#14606)

* chore: bump sgl-kernel version to 0.3.19 (sgl-project#14632)

* [cpu] Implement all gather/reduce for arm64 cpu (sgl-project#12527)

* [diffusion] chore: further refine output resolution adjustment logic (sgl-project#14558)

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* Fix dp-aware incompatible with service-discovery (sgl-project#14629)

* update transformers package version to 5.0.0rc0 (sgl-project#14356)

* chore: bump sgl-kernel version to 0.3.19 (sgl-project#14649)

* chore: bump SGLang version to 0.5.6.post1 (sgl-project#14651)

* [AMD] change fused rms quant interface for aiter upgrade (sgl-project#14497)

* [model-gateway] reducing cpu overhead in various of places (sgl-project#14658)

* [model-gateway] reduce cpu overhead in grpc router (sgl-project#14663)

* [model-gateway] fix WASM arbitrary file read security vol (sgl-project#14664)

* vlm: Use fa3 as the default backend for qwen3 vl (sgl-project#14634)

* [model-gateway] Optimize memory usage in HTTP router (sgl-project#14667)

* fix: use .get() when accessing strict mem-check env variable (sgl-project#14657)

* improve default glm mtp setting (sgl-project#14457)

Signed-off-by: Brayden Zhong <b8zhong@users.noreply.github.com>

* Fix cache-aware router should pick min load instead of min tenant size (sgl-project#14650)

* Bump up diffusers to latest official release version (sgl-project#14670)

* [model-gateway] add OTEL integration to grpc router (sgl-project#14671)

* [CI] Increase max-parallel to 15 for high priority PRs (sgl-project#14675)

* [HiCache] fix condition check when use decode offload (sgl-project#14489)

* [RadixTree] Optimize the Time Complexity of Node Retrieval Operation from O(n*m) to O(n) (sgl-project#13334)

Signed-off-by: CLFutureX <chenyongqyl@163.com>
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* Tiny support printing requests in bench_serving for observability (sgl-project#14652)

* Aiter fp8 kv cache (sgl-project#13147)

* [SMG]feat: implement TokenGuardBody for managing token return (sgl-project#14653)

* [NPU] chore: bump basic software version to 8.3.rc2 (sgl-project#14614)

* [CI] Unblock gb200 cutedsl test (sgl-project#14469)

* Add ffmpeg into sglang docker - required by transformers multimodal V… (sgl-project#14679)

* [Bugfix] Fix KeyError for Mistral-Large-3 rope_scaling config (sgl-project#14627)

* Tiny support sgl-router http response status code metrics (sgl-project#14689)

* [CI] Migrate Eagle 1-GPU tests to test/registered/ (sgl-project#14529)

* Revert "[Bug] fix not desired disable fused share experts caused by r… (sgl-project#14676)

* Add per-request decode tp size (sgl-project#14678)

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* [ci][smg] fix docker release ci and add it to pr test (sgl-project#14683)

* Tiny extract select_worker_min_load (sgl-project#14648)

* Fix dp-aware incompatible with completions and chat completions APIs (sgl-project#14647)

* [CI] Fix Llama 3.1 8B FP4 CI (sgl-project#14699)

* fix: make override DeepseekV2Model work (sgl-project#14707)

* chore: add code owners for deepseek_v2.py (sgl-project#14714)

* [CI] Move mistral large 3 basic to nightly (sgl-project#14622)

* fix the deepep 8 gpu unit test (sgl-project#14601)

* Add fuse_marlin_moe test to ci and add new ep test (sgl-project#14686)

* [Bugfix] Fix environ error in scheduler_runtime_checker_mixin.py (sgl-project#14461)

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* [Feat] Add received_time in serving_base (sgl-project#13432)

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* fix: prevent HugginqFace access when SGLANG_USE_MODELSCOPE is enabled (sgl-project#12039)

* [Test] Skip STANDALONE speculative decoding tests for different hidden sizes (sgl-project#14733)

* [diffusion] feat: support comparing batch perf (sgl-project#14738)

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* Revert "[Feat] Add received_time in serving_base" (sgl-project#14743)

* [Model] Add PaddleOCR-VL Model Support (sgl-project#12953)

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* fix rope parameter initialization error caused by transformers v5.0 update (sgl-project#14745)

* [model-gateway] optimize core modules (sgl-project#14751)

* [SMG] perf: optimize tokenizer for reduced CPU and memory overhead (sgl-project#14752)

* Add FP8 Blockwise GEMM Backend Flag `--fp8-gemm-backend` (sgl-project#14379)

* fix: checking if tokenizer is in cache before downloading from HF (sgl-project#14698)

* fix: making rate limit a warning instead of error  (sgl-project#14753)

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* move multi-item scoring functions in tokenizer manager into a separate file (sgl-project#14740)

* Improve CI by trying a warmup before unit tests (sgl-project#14669)

* [Perf] Optimize radix tree for cache-aware load balancin (sgl-project#14758)

* [Feature] Add LoRA support for embedding layers (sgl-project#14177)

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* [model-gateway] release gateway 0.2.4 (sgl-project#14763)

* [ci]: Enable the new hf API (sgl-project#14687)

* Re-add the API serving timing metrics. (sgl-project#14744)

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* fix: adding rate limit warning at verify token permission stage (sgl-project#14756)

* Disable 8-gpu-b200 runner in PR tests (sgl-project#14768)

* [fix] Fix issues for in-flight weight updates (sgl-project#14064)

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* [Auto Sync] Update data_parallel_controller.py, detokenizer... (20251209) (sgl-project#14759)

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* fix: race condition between validation and download locks (sgl-project#14761)

* Fix VLM accuracy thresholds for nightly tests (sgl-project#14777)

* fix server args bug (sgl-project#14725)

* handling incomplete rope_scaling config ci after transformers upgrade (sgl-project#14784)

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* fix: add missing logic for SGLANG_USE_MODELSCOPE variable (sgl-project#14794)

* fix b200 fa4 ci (sgl-project#14788)

* [diffusion] profile: early exit when enough steps are captured to reduce the size of the trace file (sgl-project#14803)

* [GLM-4.6V] Support Pipeline Parallelism for GLM-4.6V & GLM-4.1V (sgl-project#14720)

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* [diffusion] CI: Add LoRA support to diffusion server configuration and test cases (sgl-project#14697)

* Revert "fix: checking if tokenizer is in cache before downloading from HF" (sgl-project#14808)

* [diffusion] performance: refactor diffusion fuse qkv and apply to qwen-image (sgl-project#14793)

* [SMG-GO] implement a Go SGLang Model Gateway - OpenAI Compatible API Server (sgl-project#14770)

* [model-gateway] Dynamically Populate Tool Call Parser Choices (sgl-project#14807)

* Support HTTP response status code prometheus metrics (sgl-project#14710)

* Fix router keep nonzero metrics after worker is deleted (sgl-project#14819)

* Tiny fix incorrect worker removal command (sgl-project#14822)

* [NPU] bug fix for mtp and w4a8 (sgl-project#14806)

* [CI] fix UT success check in `test_eagle_infer_beta_dp_attention.py` (sgl-project#14831)

* Fix CI registry scan to only check test/registered directory (sgl-project#14812)

* [model-gateway] add anthropic message api spec (sgl-project#14834)

* [diffusion] doc: fix tiny typo in multimodal_gen/README.md (sgl-project#14830)

* [model-gateway] support customizing Prometheus duration buckets (sgl-project#14716)

* [model-gateway] support engine response http status statistics in router (sgl-project#14712)

* [CI] Reduce stage-b auto-partition from 4 to 2 (sgl-project#14769)

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* Apply back moe_sum_reduce for fused_marlin_moe (sgl-project#14829)

* [diffusion] parallel: pad tokens for video models under sp (sgl-project#14833)

* [diffusion] CI: use unified sampling_params for CI (sgl-project#14045)

* [Auto Sync] Update tool_chat_template_deepseekv31.jinja (20251210) (sgl-project#14837)

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* Revert transformers to 4.57.1 (sgl-project#14801)

* [model-gateway] Fix incompatible metric comparison in` PowerOfTwo` policy (sgl-project#14823)

* [bugfix] qwen25-VL support lora (sgl-project#14638)

* fix lora target all + csgmv backend (sgl-project#14796)

* [model-gateway] adds default implementations to RouterTrait in mod.rs (sgl-project#14841)

* [AMD] Add model to AMD nightly test (sgl-project#14442)

* Treat unittest SkipTest exception as pass instead of as failure (sgl-project#14847)

* [model-gateway] code clean up on oai router (sgl-project#14850)

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* fix: restrict cache validation behaviors to CI only (sgl-project#14849)

* Fix CUDA version handling in ci_install_deepep.sh (sgl-project#14854)

* Fix TestGLM41VPPAccuracy test flakiness (sgl-project#14848)

* Minor code style fix for dllm (sgl-project#14836)

* Enable TP for Mamba-based models (sgl-project#14811)

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* [CI] Temp disable gb200 test (sgl-project#14865)

* Refactor Marlin MoeRunner (sgl-project#14554)

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* [6/n] Fix `num_token_non_padded` computation in prefill (sgl-project#14313)

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* Remove myself to test CI gate issue (sgl-project#14871)

* fix: creating blobs only once for publish trace retries (sgl-project#14845)

* Move and update MindSpore docs, make it appear on the online documentation (sgl-project#14861)

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* fix nightly vlm ci : restore original eval for requests without regex (sgl-project#14875)

* Only count limitations for previous runs  that reaches the test stages (sgl-project#14856)

* [CI][BUG] fix ib setup for disaggregation hicache test (sgl-project#14877)

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* [Fix] Remove unused import from test_disaggregation_hicache.py (sgl-project#14880)

* fix: adding temporary bypass for nightly tests (sgl-project#14876)

* Avoid deleting entire cache for missing shards (sgl-project#14754 follow-up) (sgl-project#14853)

* Tiny add more error info for bench_serving (sgl-project#14827)

* Tiny support range ratio in GSP in bench serving (sgl-project#14828)

* [diffusion] feat: enable torch compile to eliminate GPU bubble (sgl-project#13641)

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* [NPU] adapt dsv3.2 nsa prefill context parallel (sgl-project#14541)

* [diffusion] feat: support sageattn & sageattn3 backend (sgl-project#14878)

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* clean code

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* dsv32 use batch_matmul_transpose in MTP

* modify comment

* Support dynamic w8a8

* dsv3 support ascend_fuseep

* rebase modify

---------

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