Closed
Description
Your current environment
root@3bea15cf4c9f:/# uv run --with vllm python collect_env.py
INFO 04-28 15:38:49 [__init__.py:239] Automatically detected platform cuda.
Collecting environment information...
/usr/local/lib/python3.11/dist-packages/_distutils_hack/__init__.py:31: UserWarning: Setuptools is replacing distutils. Support for replacing an already imported distutils is deprecated. In the future, this condition will fail. Register concerns at https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml
warnings.warn(
PyTorch version: 2.6.0+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.11.10 (main, Sep 7 2024, 18:35:41) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.8.0-52-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA A100-SXM4-80GB
GPU 1: NVIDIA A100-SXM4-80GB
Nvidia driver version: 550.127.05
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 48 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 256
On-line CPU(s) list: 0-255
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7763 64-Core Processor
CPU family: 25
Model: 1
Thread(s) per core: 2
Core(s) per socket: 64
Socket(s): 2
Stepping: 1
Frequency boost: enabled
CPU max MHz: 3529.0520
CPU min MHz: 1500.0000
BogoMIPS: 4899.64
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin brs arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload vgif v_spec_ctrl umip pku ospke vaes vpclmulqdq rdpid overflow_recov succor smca fsrm debug_swap
Virtualization: AMD-V
L1d cache: 4 MiB (128 instances)
L1i cache: 4 MiB (128 instances)
L2 cache: 64 MiB (128 instances)
L3 cache: 512 MiB (16 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-63,128-191
NUMA node1 CPU(s): 64-127,192-255
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines; IBPB conditional; IBRS_FW; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] numpy==2.2.5
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-cusparselt-cu12==0.6.2
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.4.0
[pip3] torch==2.6.0
[pip3] torchaudio==2.6.0
[pip3] torchvision==0.21.0
[pip3] transformers==4.51.3
[pip3] triton==3.2.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.8.4
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 GPU1 NIC0 NIC1 NIC2 NIC3 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV12 NODE NODE SYS SYS 0-63,128-191 0 N/A
GPU1 NV12 X SYS SYS NODE NODE 64-127,192-255 1 N/A
NIC0 NODE SYS X PIX SYS SYS
NIC1 NODE SYS PIX X SYS SYS
NIC2 SYS NODE SYS SYS X PIX
NIC3 SYS NODE SYS SYS PIX X
Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks
NIC Legend:
NIC0: mlx5_0
NIC1: mlx5_1
NIC2: mlx5_2
NIC3: mlx5_3
CUDA_VERSION=12.4.1
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NCCL_VERSION=2.21.5-1
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NVIDIA_PRODUCT_NAME=CUDA
NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
NVIDIA_VISIBLE_DEVICES=all
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY
🐛 Describe the bug
If a client connects to the openai server and uses extra_body={"guided_regex": as described here:
https://docs.vllm.ai/en/v0.8.4_a/features/structured_outputs.html#online-serving-openai-api
Then they can crash the server with invalid regex:
ERROR 04-28 15:36:55 [core.py:387] EngineCore hit an exception: Traceback (most recent call last):
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 380, in run_engine_core
ERROR 04-28 15:36:55 [core.py:387] engine_core.run_busy_loop()
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 402, in run_busy_loop
ERROR 04-28 15:36:55 [core.py:387] self._process_engine_step()
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 431, in _process_engine_step
ERROR 04-28 15:36:55 [core.py:387] outputs = self.step_fn()
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 206, in step
ERROR 04-28 15:36:55 [core.py:387] scheduler_output = self.scheduler.schedule()
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/core/sched/scheduler.py", line 286, in schedule
ERROR 04-28 15:36:55 [core.py:387] if structured_output_req and structured_output_req.grammar:
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/structured_output/request.py", line 43, in grammar
ERROR 04-28 15:36:55 [core.py:387] completed = self._check_grammar_completion()
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/structured_output/request.py", line 31, in _check_grammar_completion
ERROR 04-28 15:36:55 [core.py:387] self._grammar = self._grammar.result(timeout=0.0001)
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/usr/lib/python3.11/concurrent/futures/_base.py", line 449, in result
ERROR 04-28 15:36:55 [core.py:387] return self.__get_result()
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/usr/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
ERROR 04-28 15:36:55 [core.py:387] raise self._exception
ERROR 04-28 15:36:55 [core.py:387] File "/usr/lib/python3.11/concurrent/futures/thread.py", line 58, in run
ERROR 04-28 15:36:55 [core.py:387] result = self.fn(*self.args, **self.kwargs)
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/structured_output/__init__.py", line 77, in _async_create_grammar
ERROR 04-28 15:36:55 [core.py:387] return self.backend.compile_grammar(request_type, grammar_spec)
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/vllm/v1/structured_output/backend_xgrammar.py", line 99, in compile_grammar
ERROR 04-28 15:36:55 [core.py:387] ctx = self.compiler.compile_regex(grammar_spec)
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] File "/root/.cache/uv/archive-v0/kYowyHpQY8CQtup1TNFhp/lib/python3.11/site-packages/xgrammar/compiler.py", line 150, in compile_regex
ERROR 04-28 15:36:55 [core.py:387] return CompiledGrammar._create_from_handle(self._handle.compile_regex(regex))
ERROR 04-28 15:36:55 [core.py:387] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-28 15:36:55 [core.py:387] RuntimeError: [15:36:55] /project/cpp/regex_converter.cc:73: Regex parsing error at position 106: Invalid repetition count.
ERROR 04-28 15:36:55 [core.py:387]
ERROR 04-28 15:36:55 [core.py:387]
CRITICAL 04-28 15:36:55 [core_client.py:359] Got fatal signal from worker processes, shutting down. See stack trace above for root cause issue.
Maybe not a bug but I think the server should be resistant to unexpected user inputs.
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