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[Bugfix][V1] Fix TOCTOU race causing intermittent EADDRINUSE on multi-API-server DP startup#42585

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vadiklyutiy:zmq-socket-fix
May 26, 2026
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[Bugfix][V1] Fix TOCTOU race causing intermittent EADDRINUSE on multi-API-server DP startup#42585
vllm-bot merged 7 commits into
vllm-project:mainfrom
vadiklyutiy:zmq-socket-fix

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@vadiklyutiy vadiklyutiy commented May 14, 2026

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Problem

Running multi-node DP on 2×(4×GB300) (data_parallel_size=8, data_parallel_size_local=4, api_server_count=8, NVFP4 MoE), 5 of 79 startups failed with the same error from ApiServer_0:

(ApiServer_0 pid=...) zmq.error.ZMQError: Address already in use (addr='tcp://<master>:39381')
...
RuntimeError: Process ApiServer_0 (PID: ...) died with exit code 1

Root cause

The rank-0 parent pre-picks ephemeral TCP ports via bind(("", 0)) → close() in get_open_port() and only later spawns each API server child, which does the real ZMQ bind — typically 5–25 s later after model config and scheduler setup. In that window any other process on the host can claim the freed port. The most likely culprit is vLLM itself: it allocates ~30+ TCP ports in the same startup burst (per-API-server inputs/outputs, DP-master pool, handshake, coordinator, stats), and the kernel can hand the same ephemeral port number back to two different get_open_port() calls inside the same parent before either child has had a chance to bind. Stale processes from prior crashed runs amplify the risk (the failing log also shows leaked-semaphore / leaked-shared-memory warnings at shutdown).

Fix

Apply the same bind-in-child + report-back-via-Pipe pattern that DPCoordinator already uses. The parent emits tcp://host:0 placeholders; each ApiServer_i binds its ROUTER/PULL with port 0 (kernel atomically picks a free port), reads the bound endpoints via getsockopt(zmq.LAST_ENDPOINT), and reports them to the parent over a per-child multiprocessing.Pipe. The parent collects the actual addresses before the engine startup handshake propagates them to every engine on every DP node. No protocol changes; opt-in everywhere; IPC paths and the single-client (engines-managed-by-this-client) path are unchanged.

Tests

Unit test

tests/entrypoints/test_api_server_process_manager.py:

  • End-to-end happy path with defer_addresses=True — 4 children, kernel-picked ports, addresses gathered and verified distinct & well-formed.
  • gather_actual_addresses() rejects use without defer_addresses=True.
  • Child exits before reporting → clear RuntimeError, no hang.

Stress testing

On a common case the bug fires ~1/100 runs (DP=8, DP-local=4, 2 nodes) — too rare for reliable verification.

To make it reproducible I ran each compute node with a small "port squatter" that pre-binds every port in /proc/sys/net/ipv4/ip_local_port_range except a small window at the top, leaving _get_open_port() only ~100 ports to choose from. Under that pressure the TOCTOU race fires almost every run.

Squatter (started in background on each node before vllm serve):

import os, socket, sys, time, signal
free_top = int(sys.argv[1])
with open("/proc/sys/net/ipv4/ip_local_port_range") as f:
    lo, hi = map(int, f.read().split())
squat_hi = hi - free_top + 1
held = []
for p in range(lo, squat_hi):
    try:
        s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
        s.bind(("0.0.0.0", p)); s.listen(1)
        held.append(s)
    except OSError:
        pass
print(f"[squatter] holding {len(held)} ports", flush=True)
signal.signal(signal.SIGTERM, lambda *a: sys.exit(0))
while True: time.sleep(3600)

Driver per node:

ulimit -n 65535
python3 squatter.py 100 &        # leave only 100 ports free
exec vllm serve <args>

Results (same config, 2 nodes, DP=8, DP-local=4, squatter at free_top=100):

build passed failed
main 1 27
this PR 50 0

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

@mergify mergify Bot added frontend v1 bug Something isn't working labels May 14, 2026

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Code Review

This pull request implements a deferred ZMQ port assignment mechanism where child processes bind to kernel-assigned ports and report them back to the parent via pipes. This avoids potential race conditions and port conflicts during initialization. The changes include updates to the APIServerProcessManager to manage these pipes and gather addresses, as well as integration into the CLI and engine client. Review feedback highlights the need for explicit resource management of the multiprocessing pipes, specifically recommending that they be closed immediately after use and during the manager's shutdown to prevent file descriptor leaks.

Comment thread vllm/v1/utils.py
Comment thread vllm/v1/utils.py
@vadiklyutiy

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/gemini review

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Code Review

This pull request implements a mechanism for API servers to defer ZMQ port assignment to the kernel, allowing them to bind to available ports dynamically and report these addresses back to the parent process via pipes. Key changes include the addition of the gather_actual_addresses method to APIServerProcessManager, logic in CoreClient to report bound endpoints, and integration into the CLI server startup process. Feedback points out a type hint inconsistency in client_addresses that requires a type ignore, suggesting a future refactor to dict[str, Any] to restore type safety.

Comment thread vllm/v1/engine/core_client.py Outdated
Comment on lines +526 to +528
actual_address_pipe: Connection | None = client_addresses.get( # type: ignore[assignment]
"actual_address_pipe"
)

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high

The use of # type: ignore[assignment] here is necessary because client_addresses is currently type-hinted as dict[str, str] | None in the __init__ signature, but it now contains a multiprocessing.connection.Connection object. While fixing the signature is outside the scope of this diff hunk, the current annotation is technically incorrect and forces this suppression. Consider updating the type hint of client_addresses to dict[str, Any] | None in a future refactor to restore type safety.

@vadiklyutiy

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I made stress testing and added corresponding section in PR description.

Before run, grabbed free ports and left ~100 free. Results:

build passed failed
main 1 27
this PR 50 0
@vadiklyutiy

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Just found that #40596 does the same

@vadiklyutiy

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and #41983 do the same

@mergify

mergify Bot commented May 23, 2026

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This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @vadiklyutiy.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

@mergify mergify Bot added the needs-rebase label May 23, 2026
Comment thread vllm/entrypoints/cli/serve.py
@robertgshaw2-redhat

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Im wondering, should we just update all cases to launch like this rather than maintaining multiple special cases

Comment thread vllm/entrypoints/cli/serve.py Outdated
# Collect actual ports the children bound and mutate `addresses`
# in place; the engine handshake (run on `with` exit) ships these
# to every engine on every DP node.
actual_inputs, actual_outputs = api_server_manager.gather_actual_addresses()

@robertgshaw2-redhat robertgshaw2-redhat May 24, 2026

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where are these actually used in the main process?

I don't quite follow where wait_for_completion_or_failure actually runs these

@robertgshaw2-redhat robertgshaw2-redhat May 24, 2026

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I see, its because this is part of the launch_core_engines context manager and these results are used after the yield in the context manager

this seems very brittle and hard to follow

Comment thread vllm/entrypoints/cli/serve.py Outdated
output_addresses=addresses.outputs,
stats_update_address=stats_update_address,
tensor_queue=tensor_queue,
defer_addresses=True,

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IIUC, the APIServerProcessManager is not used anywhere else besides here. Why do we need to support multiple cases?

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Agree we could always do this and avoid the arg.

It's also used in tests but AFAICT it shouldn't affect those, or if it does they could be adjusted accordingly.

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Thank you for this PR, this fix is long overdue and the fix is solid

In terms of the details of this PR, we are maintaining an "old way" and a "new way". I think this makes the code hard to follow. Why can't we just get rid of the "old way"?

@njhill

njhill commented May 24, 2026

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I agree this fix and PR review is long overdue, really sorry I am not keeping up with my backlog lately.

@robertgshaw2-redhat I agree the way that a context manager is used here is a bit opaque / hard to follow.

It's organized this way so that the engine process management and api server process management can be encapsulated in their own classes, while also allowing the startups / engine handshake to be interleaved in such a way that we parallelize things as much as possible and minimize the startup critical path time (so that we don't wait for the engines to be started before the api servers finish starting up). There's metatdata that needs to be wired in both directions.

The context manager allows this to be done "cleanly" in some respects but we can hopefully think of a better design.

@njhill

njhill commented May 24, 2026

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Im wondering, should we just update all cases to launch like this rather than maintaining multiple special cases

One difference that the current abstractions cover is whether you are using vllm serve with possibly multiple API server procs, or AsyncLLM directly. The latter case encapsulates the core engine proc handling with AsyncLLM so that it can be used standalone (there are no api servers involved in this case), whereas the former wires things up externally.

vadiklyutiy and others added 2 commits May 25, 2026 13:58
Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
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@ehfd

ehfd commented May 27, 2026

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Fix for the above issue must be cherry-picked to v0.22.0 too. @khluu @mgoin

@vadiklyutiy

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@ehfd

  • do we need for reproduction --hf-overrides ?
  • --max-model-len 1010000 looks a bit strange. Is it correct value?
@ehfd

ehfd commented May 27, 2026

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I think it is reproducible with just 262144 context size and without the override.

The override and the context size is based on Qwen's documentation.

@vadiklyutiy

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@ehfd fix - #43768

vadiklyutiy added a commit to vadiklyutiy/vllm that referenced this pull request May 28, 2026
 hang

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
vadiklyutiy added a commit to vadiklyutiy/vllm that referenced this pull request May 28, 2026
 hang

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
njhill pushed a commit that referenced this pull request May 28, 2026
Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
@ehfd

ehfd commented May 29, 2026

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#43768 Fixes the issue completely. Thank you!

sphinx07 pushed a commit to sphinx07/vllm-mgenai-gptoss that referenced this pull request May 29, 2026
…ation (vllm-project#43864)

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…ti-API-server DP startup (vllm-project#42585)

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…ation (vllm-project#43864)

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hynky1999 added a commit to macrodata-labs/vllm that referenced this pull request Jun 2, 2026
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* [Rust Frontend] Add reasoning/tool parser & renderer roundtrip tests (#43582)

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* [ROCm][CI] Fix ROCm multimodal Qwen2.5-VL activation compile and Phi4MM ragged image mask handling (#43647)

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* [Perf] Optimize Fp8BlockScaledMMLinearKernel input_scale tensor using new_empty() (#43677)

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* [Attention] Make FlexAttention and FlashAttention use num-blocks first layouts (#42095)

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* [DSv4] Refactor compressor & Fix ROCm compatibility (#43710)

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* Fix test_aot_compile for torch 2.12 (#43695)

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* [KVConnector][Mooncake] Wire reset_cache cascade end-to-end (#42694)

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* [MRV2][BugFix] Fix KV connector handling in spec decode case (#43719)

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* [Frontend] Add MiniCPM5 XML tool call parser (#43175)

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* [ROCm][GPT-OSS] Avoid repeated compile-time `cos_sin_cache.to(bf16)` casts in rotary path (#42833)

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* [Doc] Add Ascend NPU tab to the quickstart installation guide (#43550)

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* [Rust Frontend] Align tool parser fallback behavior between streaming & non-streaming paths (#43662)

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* [Docs] Fix MLA prefill backend default docs (#43697)

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* [Kernel] Enable TritonW4A16LinearKernel as CUDA fallback for non-Marlin-aligned W4A16 shapes (#43731)

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* [Bugfix] Map reasoning_effort to enable_thinking in chat template kwargs (#43401)

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* [misc] Bump cutedsl version to 4.5.2 (#43745)

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* [BugFix] HFValidationError with cloud storage URIs when HF_HUB_OFFLINE=1 (#39155)

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* [Docs] Fix the duplicate doc icon issue (#43546)

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* Fix early CUDA init (#43791)

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* [ROCm] mori: add InterNodeV1LL inter-node kernel selection via VLLM_MORI_INTERNODE_KERNEL (#41751)

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* [8/n] Migrate merge_attn_states, mamba, sampler to torch stable ABI (continued) (#43361)

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* [Quantization] Fix Humming RoutedExperts import (#43540)

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* Remove Transformers forward/backward compatibility tests (#43785)

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* Validate against some config fields being set to 0 (#43794)

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* [Bugfix][DFlash]allocate the proper number of lookahead slots (#43733)

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* Fix Qwen3-VL and Qwen3-omni-thinker accuracy degradation from deepstack inputs under torch.compile (#43617)

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* Add @AndreasKaratzas to CODEOWNERS (#43740)

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* [Bugfix][Kernel] TRTLLM NVFP4 MoE chunking (#43599)

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* [ModelRunnerV2][Hybrid model] Support kernel block size in hybrid model (#38831)

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* [Rust Frontend] Introduce mock engine for benchmark baseline (#43469)

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* Fix RunAI streamer tensor buffer reuse during weight loading (#43464)

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* [MoE] Remove inplace fused experts mechanism (#43727)

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* [ROCm][CI] Stabilize Cargo cache and pre-test image checks (#43815)

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* fix: parse Qwen3 XML JSON arguments first (#43243)

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* [Bugfix] Pass `routed_scaling_factor` to FlashInfer TRTLLM BF16 MoE (#43769)

* [BugFix] Fix blocked reasoning parsing with MRV2 (#43808)

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* [Bugfix][Frontend] streaming tool-call serializer drops first args chunk when name and args share a DeltaMessage  (#42683)

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* minor docs: fix incorrect example path (#43830)

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* [ROCm][DSV4] Enable Tilelang MHC replacing torch/triton mhc (#43679)

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* change name of fs_python secondary tier to fs. (#43600)

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* [BugFix] Fix hard-coded timeout for multi-API-server startup (#43768)

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* [Kernel] Marlin MoE: include SM 12.x in default arch list (#40923)

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* [DSV4] Remove AMD/XPU path in deepseek_v4/nvidia (#43829)

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* Restore `Literal` for `WeightTransferConfig.backend` (#43183)

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* [Bugfix] Stream DeepSeek DSML tool-call argument deltas incrementally (#42879)

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* [ROCm][CI] Move workload from MI300 to MI325 (#43824)

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* [Feature] Add support for timed trace replay in `vllm bench serve` to replay Moonshot and Alibaba workload traces (#39795)

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* [UX] Increase DP Coordinator startup timeout from 30s to 120s (#42343)

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* [Model][Bugfix] Rename weight_mapper to hf_to_vllm_mapper in LlamaNemotronVL pooling models (#43581)

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* [Bugfix][ROCm] Fix Accuracy Drop in Sparse Indexer on gfx950 (#43781)

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* [Bugfix] Fix HyperCLOVAX CI failure after upstream removed remote code (#43860)

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* [CI] Auto-apply `rust` label to relevant PRs (#43866)

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* [Feature] Add structured output and effort support to Anthropic Messages API (#42396)

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* Log dummy DP step in iteration details (#41406)

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* [EC Connector] Add shutdown API to EC Connector. (#42423)

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* Fix `OlmoHybridForCausalLM` not initialising (#43846)

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* [BUGFIX] Multimodal benchmark with MistralTokenizer (#42965)

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* [Perf] Optimize moe permute by pre-allocate buffer, 9~14% kernel performance improvement (#43014)

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* [Perf][KDA] Fuse gate softplus, chunk-local cumsum, and RCP_LN2 scaling (#43667)

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* Add token-offset based selective offload in OffloadConnector (#39983)

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* [Model Refactoring] Remove torch compile dependency in DSv4 (#43746)

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* [Bugfix][ROCm] Resolve MoRI connector hangs at high concurrency (#40344)

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* [CPU] Migrate cpu_awq into awq_marlin (#43841)

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* [Rust Frontend] Add `hy_v3` tool parser (#43872)

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* [Rust Frontend] Reduce Gemma4 tool parser args scan complexity (#43850)

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* [rust] fix: aggregate `is_sleeping` and `reset_prefix_cache` across DP engines (#43429)

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* [Bug] Fix `tests/distributed/test_elastic_ep.py  - assert False` (#43813)

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* [Perf] Add do_not_specialize to Mamba SSD chunk kernels (#43803)

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* [Bugfix] Exclude Ray DP from #42585's deferred port allocation (#43864)

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* [KV Offload] Rename `SecondaryTierManager.get_finished()` to `get_finished_jobs()` (#43870)

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* [ROCm][Perf] Support N=5 in wvSplitK skinny GEMM kernels for speculative decoding (#40687)

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* [XPU][MoE] Add WNA16 oracle backend for GPTQ sym-int4 (xpu_fused_moe) (#41426)

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* [ROCm] Bump ROCm to 7.2.3 (#43136)

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* Add Cosmos3 Reasoner model (#43356)

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* [Rust Frontend] Optimize multimodal prompt expansion (#43670)

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* Allow native KV cache dtype in Triton cache update (#43330)

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* [Attention][AMD] Standardize kv layout to blocks first for AMD (#43660)

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* [ROCm] Enable the aiter top-k/top-p sampler by default (#43331)

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* [MM][CG] Avoid over-padding Qwen2.5-VL encoder cudagraph window metadata (#42796)

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* Deprecate `JAISLMHeadModel` (#43784)

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* [Feat] Add support for per GPU worker RDMA NIC selection (#42083)

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* [Core] Cleanup KVConnector handling with PP + fix MRV2  (#43732)

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* [KV Offload] Add per-request offloading policy via `on_new_request` lifecycle hook (#43205)

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* [Model Refactoring] Remove unncessary torch op registration for DSv4 (#43891)

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* [Spec Decode] Allow causal DFlash (#43445)

* Refactor output filename handling in ci-fetch-log.sh (#43901)

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* [AMD][CI][BugFix] Fix  Distributed Compile Unit Tests (2xH100-2xMI300) group (#43120)

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* fix(frontend): Add multimodal placeholders to Gemma4 tool message template (#41459)

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* [CI] Enable prefix caching in BFCL benchmark (#43925)

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* [Model]Support Step-3.7-Flash (#43859)

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* [Rust Frontend] Add `/version` endpoint using engine-reported value (#43854)

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* [Misc][NUMA] Auto-bind to PCT priority cores on DGX B300 + widen EngineCore across shard NUMA nodes (#43270)

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* [DSv4] Move mHC tilelang kernels & Don't use CustomOP in dsv4/nvidia (#43905)

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* [feat] add GlmgaProcessor specific logits in `glm4_1v.py` (#43575)

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* Adjust design around encoder_cudagraph_forward (#42288)

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* [XPU] add scale transpose to prepare_fp8_moe_layer_for_xpu and bump up kernels (#43277)

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* [kv_offload] Skip decode-phase blocks in CPU offload (#43797)

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* [Refactor] Remove dead code (#43234)

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* [9/n] Migrate attention and cache kernels to torch stable ABI (continued)  (#43717)

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* [CI] Separate non-root smoke tests from image build step (#43712)

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* [CPU Backend] CPU top-k and top-p sampling kernels using Triton (#43633)

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* [ROCm][DSv4] Remove device pipeline stall in sparse attention (#43898)

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* [Frontend]Responses API supports chat_template_kwargs (#43761)

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* [ROCm][CI] Fix AITER unified attention for encoder-decoder cross-attention (#43945)

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* [XPU] fix xpu install document triton-xpu version (#43947)

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* [CI][ROCm] Don't skip MoRI-IO Connector tests (#43703)

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* [XPU] support MTP of gdn attention (#43565)

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* [CI] Nixl+SimpleCPUOffloadingConnector unit tests (#43871)

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* [Bugfix] Fix Step3 pipeline parallel KeyError for residual tensor (#37622)

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* [Kernel][ROCm] Native W4A16 kernel for AMD RDNA3 (gfx1100) — fp16 + bf16 (#41394)

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* [Bugfix] [ROCm] [DSV4] Fix AITER MXFP4 MoE weight loading and shuffle… (#42595)

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* [ROCm][Perf] DSv3.2 MI355X TP4 decode-step orchestration cleanup (3 micro-opts) (#42982)

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* [Bugfix] Corrupted MLA + linear attention (#43961)

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* Skip docs build if PR doesn't affect docs (#43972)

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* [Bugfix][CPU] Remove invalid extra deps (#43977)

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* Add vLLM library info to Hugging Face Hub requests (#43857)

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* docs: clarify ITL acronym in optimization docs (#43922)

Signed-off-by: chunyang.wen <chunyang.wen@gmail.com>

* [Misc] added unit tests for the core pooling methods (#43818)

Signed-off-by: Taneem Ibrahim <taneem.ibrahim@gmail.com>
Co-authored-by: Wentao Ye <44945378+yewentao256@users.noreply.github.com>

* [Bugfix] Disable allreduce_rms_fusion when pipeline_parallel_size > 1 (#43616)

Signed-off-by: zixi-qi <zixi@inferact.ai>
Co-authored-by: Claude <noreply@anthropic.com>

* [MoE Refactor] WNA16 MoE backend selection into oracle module (#42553)

Signed-off-by: Bill Nell <bnell@redhat.com>
Co-authored-by: Claude <noreply@anthropic.com>

* [EPLB] Make async EPLB default (#43219)

Signed-off-by: Markov Ilya <markovilya19@gmail.com>
Co-authored-by: Markov Ilya <markovilya19@gmail.com>
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* [Bugfix] Use storage_block_size in KV cache reshape for compressed specs (DeepSeek V4) (#43988)

Signed-off-by: zixi-qi <zixi@inferact.ai>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* [Bugfix] Fix Ray placement group allocation with grouped nodes (#43998)

Signed-off-by: <conway.zhu@cohere.com>
Signed-off-by: root <conway.zhu@cohere.com>

* [Bug] Fix torch device issue for MOE permute (#44005)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* [CI] Make Model Executor test hangs fail fast with a traceback (#43971)

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* [CI] Remove redundant test_chat_with_tool_reasoning.py (#44011)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

* Add @khluu to CODEOWNERS (#44019)

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* [Feature] SSL support for dp supervisor (#43688)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

* [Metrics] Exclude KV transfer tokens from iteration_tokens_total (#43346)

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* [Fronten] Clean up stop_token_ids override for Harmony (#44009)

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* [MoE Refactor] Migrate MoeWNA16Method quantization to MK oracle (#42647)

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* [MoE Refactor] Remove supports_expert_map (#43108)

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* [CI] Remove duplicate Harmony test coverage (#44023)

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* [CI] Fix smoke test step key to bypass block gate (#43974)

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* Revert "[MoE Refactor] Migrate MoeWNA16Method quantization to MK orac… (#44033)

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* [PERF]MiniMax-M2 gate kernel (#38445)

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* offload prompt_embeds decode in render_prompts_async to avoid blocking (#43792)

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* [Refactor] Remove dead current_tool_name_sent assignments from tool parsers (#43997)

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* [ROCm][CI] Fix failure in the Phi3V pooling test (#44028)

Signed-off-by: Andreas Karatzas <akaratza@amd.com>

* [ROCm] cmake: support PYTORCH_FOUND_HIP for torch 2.13 native HIP language support (#43881)

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* [BugFix][Platform] Fix import vllm.platforms.rocm error on non-CUDA test_gpt_oss.py (#43571)

Signed-off-by: Ma, Liangliang <liangliang.ma@intel.com>
Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>

* [Bugfix] Fix RMSNorm kernels to multiply in weight's native dtype (#42379)

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* [ROCm] Add attention sink support to AITer flash attention backend (#43817)

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* [Governance] Add @BugenZhao as Rust frontend code owner (#44047)

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* [Bug] Fix gemma4 MTP IMA issue when TP>1, `CUDA error: an illegal memory access was encountered` (#43909)

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* [MRV2] Support breakable CUDA graph (#44050)

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* [CPU][Zen] Route W8A8 and W4A16 linear inference through zentorch on AMD Zen CPUs (#41813)

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* [CI/Build] Enable Step3p7ForConditionalGeneration testing (#43956)

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* docs: fix MLA attention docstring examples (#44118)

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* [Misc] Use VLLMValidationError consistently in chat completion and completion protocol validators (#36254)

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* [MRV2] Remove Eagle's dedicated CUDA graph pool (#44078)

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* [BugFix] Fix `_has_module` to verify native deps via trial import (#44035)

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* [Docs] Replace broken video url in examples (#44159)

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* [CPU][RISC-V] Add missing RVV cpu_types helpers for WNA16 (#42730)

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* fix: glm5.1 pp model loading (#42944)

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* [Frontend] Resettle generative scoring entrypoint. (#44153)

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* [Rust Frontend] Add InternLM2 tool parser (#43481)

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* [Bugfix] fix wrong partial_rotary_factor calculation for bailing_moe model. (#43770)

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* [XPU][CI] Fix test_audio_in_video flake by using module-scoped server fixture (#44146)

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* [Perf] Optimize cutlass fp8 scaled mm bypassing padding, 20% kernel performance improvement (#43706)

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* [Feature] Add support for JetBrains' Mellum v2 code generation model (#43992)

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* [Kernel][DSv4] Optimize sparse FP8 compressor kernels (#44161)

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* [ROCm][CI] Fix and stabilize EAGLE3 acceptance tests (#41294)

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* [Rust Frontend] Support streaming `generate` endpoint (#43779)

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* [Frontend][Core] Add sparse NCCL weight transfer support for in-place updates (#40096)

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* [BugFix][CI] Fix added `_has_module` tests (#44248)

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* [Test][BugFix] Fix double-BOS in PD+specdec acceptance test (#44234)

Signed-off-by: Nick Hill <nickhill123@gmail.com>

* [DSV4] Remove unncessary classes & functions (#44246)

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* [ROCm][CI] Skip unbacked dynamic shapes tests on PyTorch < 2.11 (#44256)

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* [DSV4] Refactor RoPE initialization (#44262)

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* [Bugfix][Mooncake] Release GPU pin on failed store in MooncakeStoreConnector (#43742)

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* [ROCm] Upgrade AITER to v0.1.13.post1 (#44265)

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* [Bugfix][CI] Normalize NIXL connector CUDA wheel installs (#44266)

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* [Refactor] Move unstreamed tool-arg flush from serving layer to parser (#44017)

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* [CI] Stabilize OpenAI schema fuzzing for malformed structural tags (#44131)

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* [BugFix] Fix TypeError in MiniCPM-O audio feature unpadding (#38053)

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* [BugFix][kv_offload]: Prevent offloading stale sliding window blocks (#42959)

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* [XPU][Bugfix] Fix per_token_group_fp8_quant missing dummy args on XPU (#43930)

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* [MM][CG] Profile encoder CUDA graph pool memory (#41714)

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* [Bugfix] Convert Gemma4-MM ViT linear layers to vllm native impl (#43798)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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* [Model Runner V2] Support zeroing freshly allocated KV blocks for hybrid + fp8 KVCache (#43990)

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* [Model Runner V2] Use actual batch max_seq_len for attn metadata (#43991)

Signed-off-by: zhuhaoran <zhuhaoran.zhr@alibaba-inc.com>

* [Refactor] Unify reasoning + tool-call parsing behind Parser.parse() (#44267)

Signed-off-by: sfeng33 <4florafeng@gmail.com>

---------

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amd-callumm added a commit to ROCm/vllm that referenced this pull request Jun 2, 2026
* [XPU] add gptq(int4) support (#37844)

Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>

* [UX] Add a persistent cache for FlashInfer autotuning (#42537)

Signed-off-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>

* [Bugfix][MRV2] Fix KVCache tensor explicit `kernel_block_size` dim (#42766)

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* [Model Refactoring] Move DeepSeek V4 layers to `models/deepseek_v4/` [2/N] (#43039)

Signed-off-by: Woosuk Kwon <woosuk@inferact.ai>

* add cutedsl dsv4 indexer fp8 kernel (#42899)

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* [Bugfix][KV Connector] Fix SimpleCPUOffloadScheduler TOCTOU between Phase A and Phase B (#42289)

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* [ci] Route 28 gpu_1_queue tests to h200_35gb queue (#43030)

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* fix: use keyword arguments for shard_id and expert_id in weight_loade… (#42671)

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* [Docs] Add SVG images for pooling models. (#42626)

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* [XPU] Use custom op collective behavior  (#41354)

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* [Misc] Aligning tokwise pooler heads for consistency (#43041)

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* [Docs] Reorganize online serving docs. (#41907)

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* [Frontend] Consolidate beam search by BeamSearchMixin. (#42946)

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* [Model Refactoring] Move deepseek_v4_ops to models/deepseek_v4 [3/N] (#43073)

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* [bug] AsyncScheduler drops first post-resume token after pause_generation + clear_cache (#42117)

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* [KVConnector][DSV4] HMA support for Mooncake store connector (#42828)

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* [Model Refactoring] Rename deepseek_v4.py to model.py [4/N] (#43077)

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* [Misc][MM] Remove redundant code in CLIPAttention (#43046)

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* [CI] Add MTP + PD disagg test for Qwen3.5 (#42677)

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* [Bugfix] Fix top logprobs token placeholders in `/inference/v1/generate` (#42887)

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* [Perf][4/n] Eliminate various GPU<->CPU syncs (#42347)

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* [XPU] update xpu graph usage (#43043)

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* [Model] Openvla support (#42654)

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* [Refactor] Extract extract_types_from_schema utility from Minimax M2 tool parser (#43025)

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* [Misc] add humming to dependencies (#42540)

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* [feat] Add FP8 per-tensor Q scale support to Triton attention backend (#42080)

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* [Docs] Fix MooncakeStoreConnector role in disaggregated example (#42994)

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* [Bugfix][MoE] FlashInfer one-sided: workspace union across heterogeneous layers (#42976)

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* [CI failure] Temporarily disable using persistent cache for flashinfer autotune (#43119)

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* [ci] Move language models tests (hybrid) back to L4 (#43129)

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* [Model] Support post-norm architecture for EAGLE-3 supeculators (#42764)

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* Fix error in Dynamic NTK scaling (#41277)

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* [CPU][DOC] Fix installation commands for Arm CPUs (#43115)

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* [bug] fix WeightTransferConfig.backend to allow for all strings (#43121)

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* [MRV2][BugFix] Fix default-stream CG capture in P/W LoRA case (#43160)

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* [Cohere] Enable Cohere MoE (#43143)

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* [Perf][Bugfix] Update dflash aux layer indexing (#40727)

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* add enqueue all option to throughput benchmark (#42975)

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* [Perf] Avoid forward scan for async output placeholders (#42938)

* [CI] Add DSV4-Flash to gsm8k moe-refactor/config-b200.txt (#42111)

Signed-off-by: mgoin <mgoin64@gmail.com>

* [KV Offload] Pass `OffloadingSpec` instead of `VllmConfig` to secondary tiers (#43076)

Signed-off-by: Ronen Schaffer <ronen.schaffer@ibm.com>

* [ci] Revert model executor test back to L4 (#43188)

Signed-off-by: Kevin H. Luu <khluu000@gmail.com>

* [Docs][PD][NIXL] Lease extension mechanism for blocks on P (#43099)

Signed-off-by: NickLucche <nlucches@redhat.com>

* [Docs][PD][NIXL] Bidirectional kv-cache transfer (#43097)

Signed-off-by: NickLucche <nlucches@redhat.com>

* [6/n] Migrate activation kernels, gptq, gguf, non cutlass w8a8 to libtorch stable ABI (continued) (#42663)

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* Enable mermaid diagrams in the docs (#43192)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

* [GDN] Enable FI Blackwell GDN prefill kernel (#40717)

Signed-off-by: Artem Perevedentsev <aperevedents@nvidia.com>

* [XPU][CI] Add 2 server model test files in Intel GPU CI (#42499)

Signed-off-by: zengxian <xiangdong.zeng@intel.com>

* [Frontend] Forward X-data-parallel-rank header on /inference/v1/generate (#42330)

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* [Doc] Sync CLI guide with actual help modes and launch subcommand (#40326)

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* [Feature] Support manually enabling the cumem allocator (#33648)

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* Remove additional dead code as a follow-up to #42889 (#43144)

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* [Bug][Structured Outputs] Fix bug that leads to unconstrained generations with structural tags (#42452)

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* [MISC] Fix symm_mem cap-equal gate; log AR backend selection (#42993)

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* [R3] Add routed experts to openai entrypoint  (#38939)

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* Add dllehr-amd to CODEOWNERS and committers list (#42772)

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* [ROCm] Add QuickReduce min-size override and codec threshold (#41675)

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* [Minor]  Bigger overlap for FI AR (#43103)

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* [Bugfix] Fix Qwen3.5 GatedDeltaNet in_proj_ba Marlin failure at TP>=2 (#36329)

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* [CI] Fix "test_vit_cudagraph_[image|video][step3_vl]" failure (#43082)

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* [Bugfix] Warn when renderer_num_workers has no effect on offline LLM (#42905)

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* [Benchmark] Add num-warmup to vllm bench throughput (#43245)

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* [Bugfix] Fix glm4_moe_tool_parser._is_string_type for /v1/responses FunctionTool format (#39601)

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* [CI] De-flake test_models for bigscience/bloom-560m (#43197)

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* Update KDA chunk prefill decay to use exp2 semantics (#43195)

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* Fix FlashInfer TRTLLM NvFP4 monolithic MoE routing (#43223)

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* [Bug] Fix ci issue `assert output_size is not None` AssertionError (#43261)

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* [XPU][CI]Fix Docker image pull-to-run race in Intel GPU CI (#43266)

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* [CPU][RISC-V] Add VLEN=256 support to RVV attention kernels (#42943)

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* [Perf] [Hybrid] Fused Triton kernel for GPU-side Mamba state postprocessing (#40172)

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* [CI] Fix CPU tests failing on `tl.exp2` import (#43311)

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* [Bugfix] Add early validation to reject incompatible runner types for embedding models (#43079)

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* [Core] Add native ModelExpress load format (#43105)

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* Disable build isolation to bypass CUDA related deps for vllm-tpu (#43038)

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* [Frontend] Rework fastokens integration (#43168)

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* [BugFix] Use correct logprobs for `logprob_token_ids` (#43125)

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* [Bugfix] Zero stale is_prefilling in padded CUDA graph rows for Mamba (#41873)

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Please see https://github.com/Inferact/vllm-frontend-rs for full original commit history.

* [CI] Fix dockerfile dependency graph failure for pre-commit (#43378)

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* [Bugfix] Fix DSV4 Base model swiglu limit issue in FP8 path  (#42855)

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* [Frontend] Add truncation side to OpenAI endpoints (#43260)

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* [Frontend] DP Supervisor (#40841)

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* [Bugfix] Make CuMemAllocator free callback stream-aware (#43020)

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* [CI] Fix test_lora_with_spec_decode on V2 model runner (#43314)

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* [CI] Fix "test_awq_load[gemma4-moe-*]" failure (#43296)

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* Correcting the mock classes for MM GC tests (#43321)

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* [BugFix] Fix setuptools-rust dep in requirements files (#43377)

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* Fix the docker build failure in tpu-inference (#43360)

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* [CPU] Experimentally enable Triton and MRV2 (#43225)

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* [Attention] Mamba attention module refactor (#41126)

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* [Misc] Replace assert with proper exceptions for security and validation in pooling (#43286)

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* [Bugfix] Clear P0 mm sender cache on sleep/pause to fix mm_hash desync (#43001)

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* [LoRA] Reduce memory of 2D weights when EP is set (#42737)

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* [EPLB] Change default EPLB communicator (#43110)

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* [CI] Fix AMD docker build tests (#43329)

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* Add NVFP4 MOE support for Deepseek V4. (#42209)

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* [Multimodal] Simplify ViT CUDA graph interfaces (#41234)

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* [KV Connector] MooncakeStore: don't co-queue save with load to avoid double delayed-free (#43371)

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* [Refactor] Extract DeepSeek V4 sparse MLA impl into model folder (#43149)

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* [RFC][EPLB][#32028] Remove dead torch.accelerator.synchronize() from sync path (#40733)

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* [Bugfix] Clear error message for FP8 torchao quantization on unsupported GPUs (#36854)

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* mhc_post - remove sts & add vectorized copies (#43437)

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* [Model Runner V2] Support sharing kv cache layers (#35045)

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* DSv4 fused Q-norm kernel grid refactor (#42353)

* [Perf] Optimize hidden state extraction logic (#37374)

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* elastic_ep: stage/commit MoE quant method on reconfigure (#40881)

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* [Attention] Add head_dim=512 support for FlashInfer trtllm attention backend (#38822)

* Add `model` to `WeightTransferEngine.__init__` (#42922)

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* [DSV4] More multi-stream enablement for c4a (#42925)

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* [ROCm][CI] Stabilize Granite tool-use and test URL construction (#43017)

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* [ROCm][CI] Fix ROCm LoRA Transformers fallback with full CUDA graphs (#41577)

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* [XPU] reudce host overhead of XPU MOE (#42915)

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* [Misc] Added missing return type annotations to improve mypy and IDE tooling (#43383)

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* [Bugfix] Fix native Triton top-k/top-p kernel assumes contiguous logi… (#42739)

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* [ModelOpt] Support Qwen3.5/3.6 VLM quantized prefix mapping (#42546)

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* Keep scheduler alive for delayed KV connector frees (#43433)

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* fix(eagle3): read norm_before_fc from eagle_config for NVIDIA checkpoint (#42143)

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* [Kernel] Batch invariant NVFP4 linear using cutlass (#39912)

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* [ROCm][CI] Remove benchmarks test group and shard long test groups (#41669)

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Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
Signed-off-by: Vadim Gimpelson <156319763+vadiklyutiy@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
tunglinwood pushed a commit to tunglinwood/vllm that referenced this pull request Jun 22, 2026
…ation (vllm-project#43864)

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
nkzhenhua pushed a commit to nkzhenhua/vllm that referenced this pull request Jun 24, 2026
…ation (vllm-project#43864)

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>
MingqiWang-coder added a commit to vLLM-HUST/vllm-hust that referenced this pull request Jun 30, 2026
Cherry-pick 62 bugfix/security PRs from upstream vllm-project/vllm main
(2026-05-03 to 2026-06-17), covering scheduler, engine core, model runner,
worker, attention, KV cache, compilation, and structured output fixes.

Security (4): vllm-project#43286 vllm-project#44744 vllm-project#45118 vllm-project#45252
Bugfix (56): vllm-project#35536 vllm-project#36616 vllm-project#38895 vllm-project#39155 vllm-project#39324 vllm-project#39562 vllm-project#39805 vllm-project#40398 vllm-project#40726
vllm-project#40727 vllm-project#40737 vllm-project#40749 vllm-project#40961 vllm-project#41119 vllm-project#41133 vllm-project#41233 vllm-project#41237 vllm-project#41411 vllm-project#41496 vllm-project#41549
vllm-project#41674 vllm-project#41873 vllm-project#41895 vllm-project#42040 vllm-project#42112 vllm-project#42289 vllm-project#42479 vllm-project#42585 vllm-project#42692 vllm-project#42706 vllm-project#42709
vllm-project#42739 vllm-project#42967 vllm-project#43001 vllm-project#43079 vllm-project#43125 vllm-project#43160 vllm-project#43616 vllm-project#43669 vllm-project#43719 vllm-project#43768 vllm-project#43808
vllm-project#43961 vllm-project#43982 vllm-project#43988 vllm-project#43998 vllm-project#44057 vllm-project#44560 vllm-project#44574 vllm-project#44568 vllm-project#44603 vllm-project#44744 vllm-project#45195
vllm-project#45345 vllm-project#45383 vllm-project#45487 vllm-project#45564 vllm-project#45673
Runner fix (2): vllm-project#44568 vllm-project#44603

Skipped: vllm-project#43781 (ROCm-specific, not applicable to Ascend NPU)

Conflict resolutions:
- Manual merge: vllm-project#43286 vllm-project#45118 vllm-project#42112 vllm-project#43160 vllm-project#43719 vllm-project#44560
- Upstream-preferred (-X theirs): vllm-project#43808 vllm-project#43988 vllm-project#42967 vllm-project#35536 vllm-project#45195
- Test files (--theirs): vllm-project#44744 vllm-project#41895 vllm-project#42040 vllm-project#41233 vllm-project#45345 vllm-project#43982

Co-authored-by: GitHub Copilot
Signed-off-by: MingqiWang-coder <mingqiwang@hust.edu.cn>
MingqiWang-coder added a commit to vLLM-HUST/vllm-hust that referenced this pull request Jun 30, 2026
Cherry-pick 62 bugfix/security PRs from upstream vllm-project/vllm main
(2026-05-03 to 2026-06-17), covering scheduler, engine core, model runner,
worker, attention, KV cache, compilation, and structured output fixes.

Security (4): vllm-project#43286 vllm-project#44744 vllm-project#45118 vllm-project#45252
Bugfix (56): vllm-project#35536 vllm-project#36616 vllm-project#38895 vllm-project#39155 vllm-project#39324 vllm-project#39562 vllm-project#39805 vllm-project#40398 vllm-project#40726
vllm-project#40727 vllm-project#40737 vllm-project#40749 vllm-project#40961 vllm-project#41119 vllm-project#41133 vllm-project#41233 vllm-project#41237 vllm-project#41411 vllm-project#41496 vllm-project#41549
vllm-project#41674 vllm-project#41873 vllm-project#41895 vllm-project#42040 vllm-project#42112 vllm-project#42289 vllm-project#42479 vllm-project#42585 vllm-project#42692 vllm-project#42706 vllm-project#42709
vllm-project#42739 vllm-project#42967 vllm-project#43001 vllm-project#43079 vllm-project#43125 vllm-project#43160 vllm-project#43616 vllm-project#43669 vllm-project#43719 vllm-project#43768 vllm-project#43808
vllm-project#43961 vllm-project#43982 vllm-project#43988 vllm-project#43998 vllm-project#44057 vllm-project#44560 vllm-project#44574 vllm-project#44568 vllm-project#44603 vllm-project#44744 vllm-project#45195
vllm-project#45345 vllm-project#45383 vllm-project#45487 vllm-project#45564 vllm-project#45673
Runner fix (2): vllm-project#44568 vllm-project#44603

Skipped: vllm-project#43781 (ROCm-specific, not applicable to Ascend NPU)

Conflict resolutions:
- Manual merge: vllm-project#43286 vllm-project#45118 vllm-project#42112 vllm-project#43160 vllm-project#43719 vllm-project#44560
- Upstream-preferred (-X theirs): vllm-project#43808 vllm-project#43988 vllm-project#42967 vllm-project#35536 vllm-project#45195
- Test files (--theirs): vllm-project#44744 vllm-project#41895 vllm-project#42040 vllm-project#41233 vllm-project#45345 vllm-project#43982

Co-authored-by: GitHub Copilot
Signed-off-by: MingqiWang-coder <mingqiwang@hust.edu.cn>
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bug Something isn't working frontend ready ONLY add when PR is ready to merge/full CI is needed v1

6 participants