[Bug]: Stats don't update to zero when all requests are aborted

[njhill]

🐛 Describe the bug

After a load test where all requests are aborted, metrics/stats don't update back to zero:

DEBUG 08-07 15:35:23 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 106 reqs, Waiting: 15 reqs, GPU KV cache usage: 90.4%, Prefix cache hit rate: 30.5%
DEBUG 08-07 15:35:33 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 106 reqs, Waiting: 15 reqs, GPU KV cache usage: 90.4%, Prefix cache hit rate: 30.5%
DEBUG 08-07 15:35:43 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 106 reqs, Waiting: 15 reqs, GPU KV cache usage: 90.4%, Prefix cache hit rate: 30.5% 

Need to repro / confirm vLLM version.

Reported by @dagrayvid.

[celidos]

I can confirm this on vllm==0.10.0

Environment:

The output of python collect_env.py

==============================
        System Info
==============================
OS                           : Ubuntu 24.04.2 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.39

==============================
       PyTorch Info
==============================
PyTorch version              : 2.7.1+cu128
Is debug build               : False
CUDA used to build PyTorch   : 12.8
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Jun 18 2025, 17:59:45) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.8.0-62-generic-x86_64-with-glibc2.39

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.9.86
CUDA_MODULE_LOADING set to   : LAZY
GPU models and configuration : 
GPU 0: NVIDIA H100 80GB HBM3
GPU 1: NVIDIA H100 80GB HBM3
GPU 2: NVIDIA H100 80GB HBM3
GPU 3: NVIDIA H100 80GB HBM3
GPU 4: NVIDIA H100 80GB HBM3
GPU 5: NVIDIA H100 80GB HBM3
GPU 6: NVIDIA H100 80GB HBM3
GPU 7: NVIDIA H100 80GB HBM3

Nvidia driver version        : 575.57.08
cuDNN version                : Could not collect
HIP runtime version          : N/A
MIOpen runtime version       : N/A
Is XNNPACK available         : True

==============================
          CPU Info
==============================
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        46 bits physical, 57 bits virtual
Byte Order:                           Little Endian
CPU(s):                               128
On-line CPU(s) list:                  0-127
Vendor ID:                            GenuineIntel
Model name:                           Intel(R) Xeon(R) Platinum 8462Y+
CPU family:                           6
Model:                                143
Thread(s) per core:                   2
Core(s) per socket:                   32
Socket(s):                            2
Stepping:                             8
CPU(s) scaling MHz:                   28%
CPU max MHz:                          4100.0000
CPU min MHz:                          800.0000
BogoMIPS:                             5600.00
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect user_shstk avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts hfi vnmi avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr ibt amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization:                       VT-x
L1d cache:                            3 MiB (64 instances)
L1i cache:                            2 MiB (64 instances)
L2 cache:                             128 MiB (64 instances)
L3 cache:                             120 MiB (2 instances)
NUMA node(s):                         2
NUMA node0 CPU(s):                    0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62,64,66,68,70,72,74,76,78,80,82,84,86,88,90,92,94,96,98,100,102,104,106,108,110,112,114,116,118,120,122,124,126
NUMA node1 CPU(s):                    1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63,65,67,69,71,73,75,77,79,81,83,85,87,89,91,93,95,97,99,101,103,105,107,109,111,113,115,117,119,121,123,125,127
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:   Not affected
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; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

==============================
Versions of relevant libraries
==============================
[pip3] numpy==2.2.0
[pip3] nvidia-cublas-cu12==12.8.3.14
[pip3] nvidia-cuda-cupti-cu12==12.8.57
[pip3] nvidia-cuda-nvrtc-cu12==12.8.61
[pip3] nvidia-cuda-runtime-cu12==12.8.57
[pip3] nvidia-cudnn-cu12==9.7.1.26
[pip3] nvidia-cudnn-frontend==1.13.0
[pip3] nvidia-cufft-cu12==11.3.3.41
[pip3] nvidia-cufile-cu12==1.13.0.11
[pip3] nvidia-curand-cu12==10.3.9.55
[pip3] nvidia-cusolver-cu12==11.7.2.55
[pip3] nvidia-cusparse-cu12==12.5.7.53
[pip3] nvidia-cusparselt-cu12==0.6.3
[pip3] nvidia-ml-py==12.575.51
[pip3] nvidia-nccl-cu12==2.26.2
[pip3] nvidia-nvjitlink-cu12==12.8.61
[pip3] nvidia-nvshmem-cu12==3.3.9
[pip3] nvidia-nvtx-cu12==12.8.55
[pip3] pynvml==12.0.0
[pip3] pyzmq==27.0.0
[pip3] torch==2.7.1+cu128
[pip3] torch_memory_saver==0.0.8
[pip3] torchao==0.9.0+xpu
[pip3] torchaudio==2.7.1+xpu
[pip3] torchvision==0.22.1+xpu
[pip3] transformers==4.54.1
[pip3] triton==3.3.1
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
Neuron SDK Version           : N/A
vLLM Version                 : 0.10.0
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    NIC8  NIC9     NIC10   NIC11   CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     PIX     PIX     NODE    NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS     0,2,4,6,8,10    0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    NODE    NODE    PIX     NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS     0,2,4,6,8,10    0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    NODE    NODE    NODE    NODE    PIX     NODE    SYS     SYS     SYS   SYS      SYS     SYS     0,2,4,6,8,10    0               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    NODE    NODE    NODE    NODE    NODE    PIX     SYS     SYS     SYS   SYS      SYS     SYS     0,2,4,6,8,10    0               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     SYS     SYS     PIX     PIX     PIX   NODE     NODE    NODE    1,3,5,7,9,11    1               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE  PIX      NODE    NODE    1,3,5,7,9,11    1               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE  NODE     PIX     NODE    1,3,5,7,9,11    1               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE  NODE     NODE    PIX     1,3,5,7,9,11    1               N/A
NIC0    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS      X      PIX     PIX     NODE    NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS
NIC1    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     PIX      X      PIX     NODE    NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS
NIC2    PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     PIX     PIX      X      NODE    NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS
NIC3    NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     NODE    NODE    NODE     X      NODE    NODE    SYS     SYS     SYS   SYS      SYS     SYS
NIC4    NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     NODE    NODE    NODE    NODE     X      NODE    SYS     SYS     SYS   SYS      SYS     SYS
NIC5    NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     NODE    NODE    NODE    NODE    NODE     X      SYS     SYS     SYS   SYS      SYS     SYS
NIC6    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     PIX   NODE     NODE    NODE
NIC7    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      PIX   NODE     NODE    NODE
NIC8    SYS     SYS     SYS     SYS     PIX     NODE    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     PIX     PIX      X    NODE     NODE    NODE
NIC9    SYS     SYS     SYS     SYS     NODE    PIX     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE   X       NODE    NODE
NIC10   SYS     SYS     SYS     SYS     NODE    NODE    PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE  NODE      X      NODE
NIC11   SYS     SYS     SYS     SYS     NODE    NODE    NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    NODE  NODE     NODE     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
  NIC4: mlx5_4
  NIC5: mlx5_5
  NIC6: mlx5_6
  NIC7: mlx5_7
  NIC8: mlx5_8
  NIC9: mlx5_9
  NIC10: mlx5_10
  NIC11: mlx5_11

==============================
     Environment Variables
==============================
LD_LIBRARY_PATH=/home/celidos/cuda/lib64:
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY

Run command:

VLLM_LOGGING_LEVEL=DEBUG vllm serve meta-llama/Llama-3.1-8B-Instruct --served_model_name llama31

Test script:

(send 10 long requests and kill them after some time)

test_script.py

import asyncio
import aiohttp

BASE_URL = "http://127.0.0.1:8000/v1/chat/completions"
MODEL = "llama31"

LONG_PROMPT = "Write a very long detailed essay about the history of the universe. " * 50

NUM_REQUESTS = 10
ABORT_AFTER = 3  # seconds


async def send_request(session, i):
    payload = {
        "model": MODEL,
        "stream": True,  # streaming so we can kill mid-generation
        "messages": [
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": f"{LONG_PROMPT} (req {i})"},
        ],
        "max_tokens": 4096,
    }
    async with session.post(BASE_URL, json=payload) as resp:
        async for _ in resp.content:
            pass


async def main():
    async with aiohttp.ClientSession() as session:
        tasks = [asyncio.create_task(send_request(session, i)) for i in range(NUM_REQUESTS)]

        # Wait 3 seconds, then cancel everything
        await asyncio.sleep(ABORT_AFTER)
        for t in tasks:
            t.cancel()

        # Gather tasks and suppress exceptions from cancellations
        await asyncio.gather(*tasks, return_exceptions=True)


if __name__ == "__main__":
    asyncio.run(main())

Run test script:

python test_script.py

vLLM logs:

INFO:     127.0.0.1:36764 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-bd7cc281965e412bb932c1b8d3b25a01.
INFO:     127.0.0.1:36766 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-1c84929046114a69b6867deda12b3cf2.
INFO:     127.0.0.1:36782 - "POST /v1/chat/completions HTTP/1.1" 200 OK
DEBUG 08-11 05:41:49 [core.py:666] EngineCore loop active.
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-52aba401c0134762a5bbf4f582e4b91b.
INFO:     127.0.0.1:36798 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-c868c910715146ba92d2c35fc9fe2fdd.
INFO:     127.0.0.1:36808 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-96b98fb07b464764a1e6828429f86540.
INFO:     127.0.0.1:36824 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-a71a6c13fcf14fb0a2bd18c9e1ee96ed.
INFO:     127.0.0.1:36832 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-4ee12987f1a24d7bb30ad3080e93ab32.
INFO:     127.0.0.1:36836 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-120f78dd0a9f4b4292271bfc5bb4f911.
INFO:     127.0.0.1:36850 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-28f0bfa70e544ef49bb83ecad582487a.
INFO:     127.0.0.1:36864 - "POST /v1/chat/completions HTTP/1.1" 200 OK
INFO 08-11 05:41:49 [async_llm.py:269] Added request chatcmpl-bb8d5888195c4a779be3532a61ff805d.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-bd7cc281965e412bb932c1b8d3b25a01.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-bd7cc281965e412bb932c1b8d3b25a01 aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-1c84929046114a69b6867deda12b3cf2.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-1c84929046114a69b6867deda12b3cf2 aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-52aba401c0134762a5bbf4f582e4b91b.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-52aba401c0134762a5bbf4f582e4b91b aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-c868c910715146ba92d2c35fc9fe2fdd.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-c868c910715146ba92d2c35fc9fe2fdd aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-96b98fb07b464764a1e6828429f86540.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-96b98fb07b464764a1e6828429f86540 aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-a71a6c13fcf14fb0a2bd18c9e1ee96ed.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-a71a6c13fcf14fb0a2bd18c9e1ee96ed aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-4ee12987f1a24d7bb30ad3080e93ab32.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-4ee12987f1a24d7bb30ad3080e93ab32 aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-120f78dd0a9f4b4292271bfc5bb4f911.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-120f78dd0a9f4b4292271bfc5bb4f911 aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-28f0bfa70e544ef49bb83ecad582487a.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-28f0bfa70e544ef49bb83ecad582487a aborted.
INFO 08-11 05:41:52 [async_llm.py:428] Aborted request chatcmpl-bb8d5888195c4a779be3532a61ff805d.
INFO 08-11 05:41:52 [async_llm.py:336] Request chatcmpl-bb8d5888195c4a779be3532a61ff805d aborted.
DEBUG 08-11 05:41:52 [core.py:660] EngineCore waiting for work.
INFO 08-11 05:41:56 [loggers.py:122] Engine 000: Avg prompt throughput: 697.0 tokens/s, Avg generation throughput: 348.1 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
INFO 08-11 05:42:06 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:42:16 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:42:26 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:42:36 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:42:46 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:42:56 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:06 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:16 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:26 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:36 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:46 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:43:56 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:06 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:16 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:26 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:36 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:46 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:44:56 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:45:06 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%
DEBUG 08-11 05:45:16 [loggers.py:122] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 9 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.9%, Prefix cache hit rate: 88.8%

It still says Running 9 reqs and non-zero GPU KV cache and prefix hit rate, even though all requests have been cancelled

[ivyilike]

I think I found the cause and I'll fix it.

[dingwenhao]

I ran into the same problem
INFO: 10.250.5.32:36850 - "GET /metrics HTTP/1.1" 200 OK
INFO 08-22 11:28:57 [async_llm.py:428] Aborted request chatcmpl-9aac6193079a4ce2836129c69e7ee1f0.
INFO 08-22 11:28:57 [async_llm.py:336] Request chatcmpl-9aac6193079a4ce2836129c69e7ee1f0 aborted.
INFO 08-22 11:28:57 [async_llm.py:428] Aborted request chatcmpl-6155d038e7c64c1db2835c4b52ad958e.
INFO 08-22 11:28:57 [async_llm.py:336] Request chatcmpl-6155d038e7c64c1db2835c4b52ad958e aborted.
INFO 08-22 11:28:57 [async_llm.py:428] Aborted request chatcmpl-cb1abb22196742409043ecf9310eb60b.
INFO 08-22 11:28:57 [async_llm.py:336] Request chatcmpl-cb1abb22196742409043ecf9310eb60b aborted.

TYPE process_cpu_seconds_total counter

process_cpu_seconds_total 38.86

HELP process_open_fds Number of open file descriptors.

TYPE process_open_fds gauge

process_open_fds 54.0

HELP process_max_fds Maximum number of open file descriptors.

TYPE process_max_fds gauge

process_max_fds 1.048576e+06

HELP vllm:num_requests_running Number of requests in model execution batches.

TYPE vllm:num_requests_running gauge

vllm:num_requests_running{engine="0",model_name="qwen3-235b-a22b"} 4.0

HELP vllm:num_requests_waiting Number of requests waiting to be processed.

TYPE vllm:num_requests_waiting gauge

vllm:num_requests_waiting{engine="0",model_name="qwen3-235b-a22b"} 164.0

HELP vllm:gpu_cache_usage_perc GPU KV-cache usage. 1 means 100 percent usage.DEPRECATED: Use vllm:kv_cache_usage_perc instead.

TYPE vllm:gpu_cache_usage_perc gauge

vllm:gpu_cache_usage_perc{engine="0",model_name="qwen3-235b-a22b"} 0.004247440644739697

HELP vllm:gpu_prefix_cache_queries_total GPU prefix cache queries, in terms of number of queriedtokens. DEPRECATED: Use vllm:prefix_cache_queries instead.

TYPE vllm:gpu_prefix_cache_queries_total counter

vllm:gpu_prefix_cache_queries_total{engine="0",model_name="qwen3-235b-a22b"} 21643.0

HELP vllm:gpu_prefix_cache_queries_created GPU prefix cache queries, in terms of number of queriedtokens. DEPRECATED: Use vllm:prefix_cache_queries instead.

TYPE vllm:gpu_prefix_cache_queries_created gauge

vllm:gpu_prefix_cache_queries_created{engine="0",model_name="qwen3-235b-a22b"} 1.7558728716305118e+09

HELP vllm:gpu_prefix_cache_hits_total GPU prefix cache hits, in terms of number of cached tokens. DEPRECATED: Use vllm:prefix_cache_hits instead.

TYPE vllm:gpu_prefix_cache_hits_total counter

vllm:gpu_prefix_cache_hits_total{engine="0",model_name="qwen3-235b-a22b"} 20368.0

HELP vllm:gpu_prefix_cache_hits_created GPU prefix cache hits, in terms of nu

The request can no longer be processed and can be resolved by restarting the service