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[Bug]: Bench Serve encounter utf-8 UnicodeDecodeError #38717

@JaredforReal

Description

@JaredforReal

Your current environment

The output of python collect_env.py
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.4 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version                : Could not collect
CMake version                : version 3.30.2
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.10.0+cu128
Is debug build               : False
CUDA used to build PyTorch   : 12.8
ROCM used to build PyTorch   : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.13 (main, Mar 10 2026, 18:17:25) [Clang 21.1.4 ] (64-bit runtime)
Python platform              : Linux-5.15.0-88-generic-x86_64-with-glibc2.35

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.6.20
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        : 535.154.05
cuDNN version                : Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_adv.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_cnn.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_precompiled.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_engines_runtime_compiled.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_graph.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_heuristic.so.9.3.0
/usr/lib/x86_64-linux-gnu/libcudnn_ops.so.9.3.0
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):                             64
On-line CPU(s) list:                0-63
Vendor ID:                          GenuineIntel
Model name:                         Intel(R) Xeon(R) Gold 6430
CPU family:                         6
Model:                              143
Thread(s) per core:                 1
Core(s) per socket:                 32
Socket(s):                          2
Stepping:                           8
Frequency boost:                    enabled
CPU max MHz:                        2101.0000
CPU min MHz:                        800.0000
BogoMIPS:                           4200.00
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 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 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced 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 avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts 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 amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
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):                  0-31
NUMA node1 CPU(s):                  32-63
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 Retbleed:             Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass:    Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1:           Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:           Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.7
[pip3] numpy==2.4.4
[pip3] nvidia-cublas-cu12==12.8.4.1
[pip3] nvidia-cuda-cupti-cu12==12.8.90
[pip3] nvidia-cuda-nvrtc-cu12==12.8.93
[pip3] nvidia-cuda-runtime-cu12==12.8.90
[pip3] nvidia-cudnn-cu12==9.10.2.21
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft-cu12==11.3.3.83
[pip3] nvidia-cufile-cu12==1.13.1.3
[pip3] nvidia-curand-cu12==10.3.9.90
[pip3] nvidia-cusolver-cu12==11.7.3.90
[pip3] nvidia-cusparse-cu12==12.5.8.93
[pip3] nvidia-cusparselt-cu12==0.7.1
[pip3] nvidia-cutlass-dsl==4.4.2
[pip3] nvidia-cutlass-dsl-libs-base==4.4.2
[pip3] nvidia-ml-py==13.590.48
[pip3] nvidia-nccl-cu12==2.27.5
[pip3] nvidia-nvjitlink-cu12==12.8.93
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.8.90
[pip3] pyzmq==27.1.0
[pip3] torch==2.10.0
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.10.0
[pip3] torchvision==0.25.0
[pip3] transformers==5.4.0
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.17.2rc1.dev525+g36d7f1989 (git sha: 36d7f1989)
vLLM Build Flags:
  CUDA Archs: 5.2 6.0 6.1 7.0 7.2 7.5 8.0 8.6 8.7 9.0+PTX; ROCm: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6       NIC7    NIC8    NIC9    NIC10   NIC11   NIC12   NIC13   NIC14   NIC15   NIC16   CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     PIX     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-31    0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    SYS     SYS     PIX     PIX     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-31    0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     PIX     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-31    0               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    SYS     SYS     SYS     SYS     SYS     SYS     SYSPIX     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     0-31    0               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     PIX     PIX     SYS     SYS     SYS     SYS     SYS     SYS     32-63   1               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     PIX     PIX     SYS     SYS     SYS     SYS     32-63   1               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     PIX     PIX     SYS     SYS     32-63   1               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX     PIX     32-63   1               N/A
NIC0    PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC1    PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC2    SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC3    SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC4    SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC5    SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC6    SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC7    SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS X      PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC8    SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSPIX      X      SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC9    SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS      X      PIX     SYS     SYS     SYS     SYS     SYS     SYS
NIC10   SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     PIX      X      SYS     SYS     SYS     SYS     SYS     SYS
NIC11   SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS      X      PIX     SYS     SYS     SYS     SYS
NIC12   SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     PIX      X      SYS     SYS     SYS     SYS
NIC13   SYS     SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYS     SYS
NIC14   SYS     SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYS     SYS
NIC15   SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     SYS     SYS      X      PIX
NIC16   SYS     SYS     SYS     SYS     SYS     SYS     SYS     PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYSSYS     SYS     SYS     SYS     SYS     SYS     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
  NIC4: mlx5_4
  NIC5: mlx5_5
  NIC6: mlx5_6
  NIC7: mlx5_7
  NIC8: mlx5_8
  NIC9: mlx5_9
  NIC10: mlx5_10
  NIC11: mlx5_11
  NIC12: mlx5_12
  NIC13: mlx5_13
  NIC14: mlx5_14
  NIC15: mlx5_15
  NIC16: mlx5_16

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=GPU-1a344396-00b6-d375-64d6-3b6db6f5ed81,GPU-276be7cf-661b-9451-291e-aa22f8e6c37d,GPU-8082f041-3c3e-ce86-517c-d0a27708063d,GPU-59604568-7b14-68ca-456a-d7652989e71d,GPU-ee604c58-129e-89ea-59de-b5c83b4029fc,GPU-69a6b57d-aa0e-f547-3f27-44157d07483f,GPU-e74b1725-c06d-9292-5c95-197dfb2f5c89,GPU-0f5bbaa2-304d-153a-815f-2dd5ae48a3fa
CUBLAS_VERSION=12.6.0.22
NVIDIA_REQUIRE_CUDA=cuda>=9.0
CUDA_CACHE_DISABLE=1
TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.2 7.5 8.0 8.6 8.7 9.0+PTX
NCCL_VERSION=2.22.3
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
NVIDIA_PRODUCT_NAME=PyTorch
CUDA_VERSION=12.6.0.022
PYTORCH_VERSION=2.5.0a0+872d972
PYTORCH_BUILD_NUMBER=0
CUDNN_FRONTEND_VERSION=1.5.2
CUDNN_VERSION=9.3.0.75
PYTORCH_HOME=/opt/pytorch/pytorch
LD_LIBRARY_PATH=/usr/local/cuda/compat/lib.real:/usr/local/lib/python3.10/dist-packages/torch/lib:/usr/local/lib/python3.10/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_BUILD_ID=107063150
CUDA_DRIVER_VERSION=560.35.03
PYTORCH_BUILD_VERSION=2.5.0a0+872d972
CUDA_HOME=/usr/local/cuda
CUDA_HOME=/usr/local/cuda
CUDA_MODULE_LOADING=LAZY
NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
NVIDIA_PYTORCH_VERSION=24.08
TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

🐛 Describe the bug

Serve GLM-4.7-FP8 with:

vllm serve zai-org/GLM-4.7-FP8 \
--tensor-parallel-size 8 \
--speculative-config.method mtp \
--speculative-config.num_speculative_tokens 1 \
--tool-call-parser glm47 \
--reasoning-parser glm45 \
--enable-auto-tool-choice \
--async-scheduling \
--enable-prefix-caching \
--max-num-batched-tokens 4K

Run Bench serve in another terminal

vllm bench serve \
--model zai-org/GLM-4.7-FP8 \
--port 8000 \
--save-result \
--save-detailed \
--backend=vllm \
--dataset-name random \
--disable-shuffle \
--metric-percentiles "50,90,95,99" \
--percentile-metrics "ttft,tpot,e2el" \
--result-dir "./vllm_bench_results/test/" \
--request-rate 1 \
--random-input-len 40000 \
--random-output-len 300

Got results with 4 UnicodeDecodeError:

Namespace(subparser='bench', bench_type='serve', dispatch_function=<function BenchmarkServingSubcommand.cmd at 0x7fc96c1b79c0>, trust_remote_code=False, seed=0, num_prompts=1000, dataset_name='random', no_stream=False, dataset_path=None, no_oversample=False, skip_chat_template=False, enable_multimodal_chat=False, disable_shuffle=True, custom_output_len=256, spec_bench_output_len=256, spec_bench_category=None, sonnet_input_len=550, sonnet_output_len=150, sonnet_prefix_len=200, sharegpt_output_len=None, blazedit_min_distance=0.0, blazedit_max_distance=1.0, asr_max_audio_len_sec=inf, asr_min_audio_len_sec=0.0, random_input_len=40000, random_output_len=300, random_range_ratio=0.0, random_prefix_len=0, random_batch_size=1, no_reranker=False, random_mm_base_items_per_request=1, random_mm_num_mm_items_range_ratio=0.0, random_mm_limit_mm_per_prompt={'image': 255, 'video': 1}, random_mm_bucket_config={(256, 256, 1): 0.5, (720, 1280, 1): 0.5, (720, 1280, 16): 0.0}, hf_subset=None, hf_split=None, hf_name=None, hf_output_len=None, prefix_repetition_prefix_len=256, prefix_repetition_suffix_len=256, prefix_repetition_num_prefixes=10, prefix_repetition_output_len=128, label=None, backend='vllm', base_url=None, host='127.0.0.1', port=8000, endpoint='/v1/completions', header=None, max_concurrency=None, model='/cloud/oss_checkpoints/zai-org/GLM-4.7-FP8', input_len=None, output_len=None, tokenizer=None, tokenizer_mode='auto', use_beam_search=False, logprobs=None, request_rate=1.0, burstiness=1.0, disable_tqdm=False, num_warmups=0, profile=False, save_result=True, save_detailed=True, append_result=False, metadata=None, result_dir='./vllm_bench_results/test/', result_filename=None, ignore_eos=False, percentile_metrics='ttft,tpot,e2el', metric_percentiles='50,90,95,99', goodput=None, request_id_prefix='bench-b8ace93c-', top_p=None, top_k=None, min_p=None, temperature=None, frequency_penalty=None, presence_penalty=None, repetition_penalty=None, served_model_name=None, lora_modules=None, lora_assignment='random', ramp_up_strategy=None, ramp_up_start_rps=None, ramp_up_end_rps=None, ready_check_timeout_sec=0, extra_body=None, skip_tokenizer_init=False, insecure=False, plot_timeline=False, timeline_itl_thresholds=[25.0, 50.0], plot_dataset_stats=False)
INFO 04-01 10:30:56 [datasets.py:700] Sampling input_len from [40000, 40000] and output_len from [300, 300]
WARNING: vllm bench serve no longer sets temperature==0 (greedy) in requests by default. The default will be determined on the server side and can be model/API specific. For the old behavior, include --temperature=0.
Starting initial single prompt test run...
Skipping endpoint ready check.
Starting main benchmark run...
Traffic request rate: 1.0
Burstiness factor: 1.0 (Poisson process)
Maximum request concurrency: None
100%|██████████████████████████████████████████████████████████████████████████████████| 1000/1000 [56:59<00:00,  3.42s/it]
Failed requests during benchmark run detected (capping to 10):
Error 0: Traceback (most recent call last):
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 205, in async_request_openai_completions
    messages = handler.add_chunk(chunk_bytes)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 32, in add_chunk
    chunk_str = chunk_bytes.decode("utf-8")
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe5 in position 32760: unexpected end of data

Error 1: Traceback (most recent call last):
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 205, in async_request_openai_completions
    messages = handler.add_chunk(chunk_bytes)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 32, in add_chunk
    chunk_str = chunk_bytes.decode("utf-8")
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe9 in position 32760: unexpected end of data

Error 2: Traceback (most recent call last):
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 205, in async_request_openai_completions
    messages = handler.add_chunk(chunk_bytes)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 32, in add_chunk
    chunk_str = chunk_bytes.decode("utf-8")
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xe4 in position 65482: unexpected end of data

Error 3: Traceback (most recent call last):
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 205, in async_request_openai_completions
    messages = handler.add_chunk(chunk_bytes)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opensource/guohong/vllm/vllm/benchmarks/lib/endpoint_request_func.py", line 32, in add_chunk
    chunk_str = chunk_bytes.decode("utf-8")
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeDecodeError: 'utf-8' codec can't decode bytes in position 65527-65528: unexpected end of data

tip: install termplotlib and gnuplot to plot the metrics
============ Serving Benchmark Result ============
Successful requests:                     996
Failed requests:                         4
Request rate configured (RPS):           1.00
Benchmark duration (s):                  3419.64
Total input tokens:                      39840000
Total generated tokens:                  298800
Request throughput (req/s):              0.29
Output token throughput (tok/s):         87.38
Peak output token throughput (tok/s):    296.00
Peak concurrent requests:                711.00
Total token throughput (tok/s):          11737.74
---------------Time to First Token----------------
Mean TTFT (ms):                          1206448.85
Median TTFT (ms):                        1200351.31
P50 TTFT (ms):                           1200351.31
P90 TTFT (ms):                           2173032.14
P95 TTFT (ms):                           2298578.44
P99 TTFT (ms):                           2386296.33
-----Time per Output Token (excl. 1st token)------
Mean TPOT (ms):                          81.88
Median TPOT (ms):                        83.55
P50 TPOT (ms):                           83.55
P90 TPOT (ms):                           101.78
P95 TPOT (ms):                           103.87
P99 TPOT (ms):                           111.89
----------------End-to-end Latency----------------
Mean E2EL (ms):                          1230931.18
Median E2EL (ms):                        1225871.19
P50 E2EL (ms):                           1225871.19
P90 E2EL (ms):                           2197145.25
P95 E2EL (ms):                           2324417.13
P99 E2EL (ms):                           2410427.41
---------------Speculative Decoding---------------
Acceptance rate (%):                     19.66
Acceptance length:                       1.20
Drafts:                                  249112
Draft tokens:                            249112
Accepted tokens:                         48984
Per-position acceptance (%):
  Position 0:                            19.66
==================================================

Failed to reproduce #37587 and #37599
This error was reproduced several times with the same Bench Serve command.

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