vllm - 💡(How to fix) Fix [Bug]: Gemma 4 speculative decoding truncating reasoning output

vllm2026-05-15 20:41:46

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Root Cause

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"\n\nBecause they make"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

Fix Action

Fix / Workaround

============================== CPU Info

Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 52 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 224 On-line CPU(s) list: 0-223 Vendor ID: AuthenticAMD Model name: AMD EPYC 9554 64-Core Processor CPU family: 25 Model: 17 Thread(s) per core: 2 Core(s) per socket: 56 Socket(s): 2 Stepping: 1 Frequency boost: disabled CPU max MHz: 3764.2019 CPU min MHz: 1500.0000 BogoMIPS: 6199.90 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 amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user Virtualization: AMD-V L1d cache: 3.5 MiB (112 instances) L1i cache: 3.5 MiB (112 instances) L2 cache: 112 MiB (112 instances) L3 cache: 512 MiB (16 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-55,112-167 NUMA node1 CPU(s): 56-111,168-223 Vulnerability Gather data sampling: Not affected Vulnerability Indirect target selection: 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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsa: Mitigation; Clear CPU buffers Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB before exit to userspace

Code Example

Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.11.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM used to build PyTorch   : N/A
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.13 (main, Mar  4 2026, 09:23:07) [GCC 11.4.0] (64-bit runtime)
Python platform              : Linux-6.8.0-106-generic-x86_64-with-glibc2.35
    
==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.9.86
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA RTX 6000 Ada Generation
GPU 1: NVIDIA RTX 6000 Ada Generation
GPU 2: NVIDIA RTX 6000 Ada Generation
GPU 3: NVIDIA RTX 6000 Ada Generation
GPU 4: NVIDIA RTX 6000 Ada Generation
GPU 5: NVIDIA RTX 6000 Ada Generation
GPU 6: NVIDIA RTX 6000 Ada Generation
GPU 7: NVIDIA RTX 6000 Ada Generation

Nvidia driver version        : 570.133.07
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:                           52 bits physical, 57 bits virtual
Byte Order:                              Little Endian
CPU(s):                                  224
On-line CPU(s) list:                     0-223
Vendor ID:                               AuthenticAMD
Model name:                              AMD EPYC 9554 64-Core Processor
CPU family:                              25
Model:                                   17
Thread(s) per core:                      2
Core(s) per socket:                      56
Socket(s):                               2
Stepping:                                1
Frequency boost:                         disabled
CPU max MHz:                             3764.2019
CPU min MHz:                             1500.0000
BogoMIPS:                                6199.90
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 amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user
Virtualization:                          AMD-V
L1d cache:                               3.5 MiB (112 instances)
L1i cache:                               3.5 MiB (112 instances)
L2 cache:                                112 MiB (112 instances)
L3 cache:                                512 MiB (16 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-55,112-167
NUMA node1 CPU(s):                       56-111,168-223
Vulnerability Gather data sampling:      Not affected
Vulnerability Indirect target selection: 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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Mitigation; Clear CPU buffers
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.8.post1
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.9.1.4
[pip3] nvidia-cuda-cupti-cu12==12.9.79
[pip3] nvidia-cuda-nvrtc-cu12==12.9.86
[pip3] nvidia-cuda-runtime-cu12==12.9.79
[pip3] nvidia-cudnn-cu12==9.17.1.4
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft-cu12==11.4.1.4
[pip3] nvidia-cufile-cu12==1.14.1.1
[pip3] nvidia-curand-cu12==10.3.10.19
[pip3] nvidia-cusolver-cu12==11.7.5.82
[pip3] nvidia-cusparse-cu12==12.5.10.65
[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==13.595.45
[pip3] nvidia-nccl-cu12==2.28.9
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] pyzmq==27.1.0
[pip3] tokenspeed-triton==3.7.10.post20260505
[pip3] torch==2.11.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0+cu129
[pip3] torchvision==0.26.0+cu129
[pip3] transformers==5.8.1
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.21.0
vLLM Build Flags:
  CUDA Archs: 7.5 8.0 8.6 8.9 9.0 10.0 12.0; ROCm: Disabled; XPU: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      PXB     PXB     PXB     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU1    PXB      X      PXB     PXB     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU2    PXB     PXB      X      PIX     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU3    PXB     PXB     PIX      X      SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      PIX     PXB     PXB     56-111,168-223  1               N/A
GPU5    SYS     SYS     SYS     SYS     PIX      X      PXB     PXB     56-111,168-223  1               N/A
GPU6    SYS     SYS     SYS     SYS     PXB     PXB      X      PXB     56-111,168-223  1               N/A
GPU7    SYS     SYS     SYS     SYS     PXB     PXB     PXB      X      56-111,168-223  1               N/A

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

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0
NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.9.1
VLLM_ENABLE_CUDA_COMPATIBILITY=0
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64
VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

---

{
  "model": "google/gemma-4-31B-it",
  "messages": [
    {
      "role": "developer",
      "content": "You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.\n\nAvailable tools:\n- read: Read file contents\n- edit: Make surgical edits to files (find exact text and replace)\n- write: Create or overwrite files\n\nIn addition to the tools above, you may have access to other custom tools depending on the project.\n\nGuidelines:\n- Use bash for file operations like ls, rg, find\n- Use read to examine files instead of cat or sed.\n- Use edit for precise changes (old text must match exactly).\n- Use write only for new files or complete rewrites.\n- Be concise in your responses\n- Show file paths clearly when working with files\n\nPi documentation (read only when the user asks about pi itself, its SDK, extensions, themes, skills, or TUI):\n- Main documentation: /opt/pi/README.md\n- Additional docs: /opt/pi/docs\n- Examples: /opt/pi/examples (extensions, custom tools, SDK)\n- When asked about: extensions (docs/extensions.md, examples/extensions/), themes (docs/themes.md), skills (docs/skills.md), prompt templates (docs/prompt-templates.md), TUI components (docs/tui.md), keybindings (docs/keybindings.md), SDK integrations (docs/sdk.md), custom providers (docs/custom-provider.md), adding models (docs/models.md), pi packages (docs/packages.md)\n- When working on pi topics, read the docs and examples, and follow .md cross-references before implementing\n- Always read pi .md files completely and follow links to related docs (e.g., tui.md for TUI API details)\n\nCurrent date: 2026-05-15\nCurrent working directory: /disk2/dustin/bug"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Tell me a jok"
        }
      ]
    }
  ],
  "stream": true,
  "stream_options": {
    "include_usage": true
  },
  "store": false,
  "max_completion_tokens": 32000,
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "read",
        "description": "Read the contents of a file. Supports text files and images (jpg, png, gif, webp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.",
        "parameters": {
          "type": "object",
          "required": [
            "path"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (relative or absolute)"
            },
            "offset": {
              "type": "number",
              "description": "Line number to start reading from (1-indexed)"
            },
            "limit": {
              "type": "number",
              "description": "Maximum number of lines to read"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "bash",
        "description": "Execute a bash command in the current working directory. Returns stdout and stderr. Output is truncated to last 2000 lines or 50KB (whichever is hit first). If truncated, full output is saved to a temp file. Optionally provide a timeout in seconds (default: 120s).",
        "parameters": {
          "type": "object",
          "required": [
            "command"
          ],
          "properties": {
            "command": {
              "type": "string",
              "description": "Bash command to execute"
            },
            "timeout": {
              "type": "number",
              "description": "Timeout in seconds (optional, no default timeout)"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "edit",
        "description": "Edit a file by replacing exact text. The oldText must match exactly (including whitespace). Use this for precise, surgical edits.",
        "parameters": {
          "type": "object",
          "required": [
            "path",
            "oldText",
            "newText"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to edit (relative or absolute)"
            },
            "oldText": {
              "type": "string",
              "description": "Exact text to find and replace (must match exactly)"
            },
            "newText": {
              "type": "string",
              "description": "New text to replace the old text with"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write",
        "description": "Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.",
        "parameters": {
          "type": "object",
          "required": [
            "path",
            "content"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (relative or absolute)"
            },
            "content": {
              "type": "string",
              "description": "Content to write to the file"
            }
          }
        },
        "strict": false
      }
    }
  ],
  "reasoning_effort": "high"
}

---

$ curl http://vllm-server/v1/chat/completions      -H "Content-Type: application/json"      -d @input
data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}],"prompt_token_ids":null,"prompt_text":null}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":"The user is"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" asking for a joke (\"Tell"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" me a jok\").\nI"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" should provide a simple"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"Why don"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"'t scientists trust atoms?"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"\n\nBecause they make"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":" up everything!"},"logprobs":null,"finish_reason":"stop","stop_reason":106,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[],"usage":{"prompt_tokens":973,"total_tokens":1017,"completion_tokens":44},"system_fingerprint":"vllm-0.21.0-tp8-57815de2"}

---

image: vllm/vllm-openai:v0.21.0-cu129
    runtime: nvidia
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: ["gpu"]
    ipc: host
    environment:
      VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS: "1"
      HF_HUB_OFFLINE: "1"
    command:
      - /root/model
      - --served-model-name
      - google/gemma-4-31B-it
      - --tool-call-parser
      - gemma4
      - --reasoning-parser
      - gemma4
      - --gpu-memory-utilization
      - "0.95"
      - --enable-auto-tool-choice
      - --tensor-parallel-size
      - "8"
      - --max-num-batched-tokens
      - "4096"
      - --default-chat-template-kwargs
      - '{"enable_thinking": true}'
      - --speculative-config
      - '{"method": "mtp", "model": "/root/model-mtp", "num_speculative_tokens": 5}'

RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary>

Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 22.04.5 LTS (x86_64)
GCC version                  : (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.35

==============================
       PyTorch Info
==============================
PyTorch version              : 2.11.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM used to build PyTorch   : N/A
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.13 (main, Mar  4 2026, 09:23:07) [GCC 11.4.0] (64-bit runtime)
Python platform              : Linux-6.8.0-106-generic-x86_64-with-glibc2.35
    
==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : 12.9.86
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA RTX 6000 Ada Generation
GPU 1: NVIDIA RTX 6000 Ada Generation
GPU 2: NVIDIA RTX 6000 Ada Generation
GPU 3: NVIDIA RTX 6000 Ada Generation
GPU 4: NVIDIA RTX 6000 Ada Generation
GPU 5: NVIDIA RTX 6000 Ada Generation
GPU 6: NVIDIA RTX 6000 Ada Generation
GPU 7: NVIDIA RTX 6000 Ada Generation

Nvidia driver version        : 570.133.07
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:                           52 bits physical, 57 bits virtual
Byte Order:                              Little Endian
CPU(s):                                  224
On-line CPU(s) list:                     0-223
Vendor ID:                               AuthenticAMD
Model name:                              AMD EPYC 9554 64-Core Processor
CPU family:                              25
Model:                                   17
Thread(s) per core:                      2
Core(s) per socket:                      56
Socket(s):                               2
Stepping:                                1
Frequency boost:                         disabled
CPU max MHz:                             3764.2019
CPU min MHz:                             1500.0000
BogoMIPS:                                6199.90
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 amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc amd_ibpb_ret arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap ibpb_exit_to_user
Virtualization:                          AMD-V
L1d cache:                               3.5 MiB (112 instances)
L1i cache:                               3.5 MiB (112 instances)
L2 cache:                                112 MiB (112 instances)
L3 cache:                                512 MiB (16 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-55,112-167
NUMA node1 CPU(s):                       56-111,168-223
Vulnerability Gather data sampling:      Not affected
Vulnerability Indirect target selection: 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; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Mitigation; Clear CPU buffers
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.8.post1
[pip3] numpy==2.2.6
[pip3] nvidia-cublas-cu12==12.9.1.4
[pip3] nvidia-cuda-cupti-cu12==12.9.79
[pip3] nvidia-cuda-nvrtc-cu12==12.9.86
[pip3] nvidia-cuda-runtime-cu12==12.9.79
[pip3] nvidia-cudnn-cu12==9.17.1.4
[pip3] nvidia-cudnn-frontend==1.18.0
[pip3] nvidia-cufft-cu12==11.4.1.4
[pip3] nvidia-cufile-cu12==1.14.1.1
[pip3] nvidia-curand-cu12==10.3.10.19
[pip3] nvidia-cusolver-cu12==11.7.5.82
[pip3] nvidia-cusparse-cu12==12.5.10.65
[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==13.595.45
[pip3] nvidia-nccl-cu12==2.28.9
[pip3] nvidia-nvjitlink-cu12==12.9.86
[pip3] nvidia-nvshmem-cu12==3.4.5
[pip3] nvidia-nvtx-cu12==12.9.79
[pip3] pyzmq==27.1.0
[pip3] tokenspeed-triton==3.7.10.post20260505
[pip3] torch==2.11.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.11.0+cu129
[pip3] torchvision==0.26.0+cu129
[pip3] transformers==5.8.1
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.21.0
vLLM Build Flags:
  CUDA Archs: 7.5 8.0 8.6 8.9 9.0 10.0 12.0; ROCm: Disabled; XPU: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      PXB     PXB     PXB     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU1    PXB      X      PXB     PXB     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU2    PXB     PXB      X      PIX     SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU3    PXB     PXB     PIX      X      SYS     SYS     SYS     SYS     0-55,112-167    0               N/A
GPU4    SYS     SYS     SYS     SYS      X      PIX     PXB     PXB     56-111,168-223  1               N/A
GPU5    SYS     SYS     SYS     SYS     PIX      X      PXB     PXB     56-111,168-223  1               N/A
GPU6    SYS     SYS     SYS     SYS     PXB     PXB      X      PXB     56-111,168-223  1               N/A
GPU7    SYS     SYS     SYS     SYS     PXB     PXB     PXB      X      56-111,168-223  1               N/A

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

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=12.9 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566 brand=unknown,driver>=570,driver<571 brand=grid,driver>=570,driver<571 brand=tesla,driver>=570,driver<571 brand=nvidia,driver>=570,driver<571 brand=quadro,driver>=570,driver<571 brand=quadrortx,driver>=570,driver<571 brand=nvidiartx,driver>=570,driver<571 brand=vapps,driver>=570,driver<571 brand=vpc,driver>=570,driver<571 brand=vcs,driver>=570,driver<571 brand=vws,driver>=570,driver<571 brand=cloudgaming,driver>=570,driver<571
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 8.9 9.0 10.0 12.0
NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.9.1
VLLM_ENABLE_CUDA_COMPATIBILITY=0
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64
VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

</details>

🐛 Describe the bug

When using pi.dev I noticed that at some point the reasoning output was getting partially dropped, so I tried to duplicate it with something simple. If I run this a dozen times when MTP is enabled, usually a few of them will have (likely) dropped reasoning traces. Without MTP enabled I don't see the drop at all. The following is the input file and an example truncated output via cURL.

Here's the JSON payload in the @input file:

{
  "model": "google/gemma-4-31B-it",
  "messages": [
    {
      "role": "developer",
      "content": "You are an expert coding assistant operating inside pi, a coding agent harness. You help users by reading files, executing commands, editing code, and writing new files.\n\nAvailable tools:\n- read: Read file contents\n- edit: Make surgical edits to files (find exact text and replace)\n- write: Create or overwrite files\n\nIn addition to the tools above, you may have access to other custom tools depending on the project.\n\nGuidelines:\n- Use bash for file operations like ls, rg, find\n- Use read to examine files instead of cat or sed.\n- Use edit for precise changes (old text must match exactly).\n- Use write only for new files or complete rewrites.\n- Be concise in your responses\n- Show file paths clearly when working with files\n\nPi documentation (read only when the user asks about pi itself, its SDK, extensions, themes, skills, or TUI):\n- Main documentation: /opt/pi/README.md\n- Additional docs: /opt/pi/docs\n- Examples: /opt/pi/examples (extensions, custom tools, SDK)\n- When asked about: extensions (docs/extensions.md, examples/extensions/), themes (docs/themes.md), skills (docs/skills.md), prompt templates (docs/prompt-templates.md), TUI components (docs/tui.md), keybindings (docs/keybindings.md), SDK integrations (docs/sdk.md), custom providers (docs/custom-provider.md), adding models (docs/models.md), pi packages (docs/packages.md)\n- When working on pi topics, read the docs and examples, and follow .md cross-references before implementing\n- Always read pi .md files completely and follow links to related docs (e.g., tui.md for TUI API details)\n\nCurrent date: 2026-05-15\nCurrent working directory: /disk2/dustin/bug"
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Tell me a jok"
        }
      ]
    }
  ],
  "stream": true,
  "stream_options": {
    "include_usage": true
  },
  "store": false,
  "max_completion_tokens": 32000,
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "read",
        "description": "Read the contents of a file. Supports text files and images (jpg, png, gif, webp). Images are sent as attachments. For text files, output is truncated to 2000 lines or 50KB (whichever is hit first). Use offset/limit for large files. When you need the full file, continue with offset until complete.",
        "parameters": {
          "type": "object",
          "required": [
            "path"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (relative or absolute)"
            },
            "offset": {
              "type": "number",
              "description": "Line number to start reading from (1-indexed)"
            },
            "limit": {
              "type": "number",
              "description": "Maximum number of lines to read"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "bash",
        "description": "Execute a bash command in the current working directory. Returns stdout and stderr. Output is truncated to last 2000 lines or 50KB (whichever is hit first). If truncated, full output is saved to a temp file. Optionally provide a timeout in seconds (default: 120s).",
        "parameters": {
          "type": "object",
          "required": [
            "command"
          ],
          "properties": {
            "command": {
              "type": "string",
              "description": "Bash command to execute"
            },
            "timeout": {
              "type": "number",
              "description": "Timeout in seconds (optional, no default timeout)"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "edit",
        "description": "Edit a file by replacing exact text. The oldText must match exactly (including whitespace). Use this for precise, surgical edits.",
        "parameters": {
          "type": "object",
          "required": [
            "path",
            "oldText",
            "newText"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to edit (relative or absolute)"
            },
            "oldText": {
              "type": "string",
              "description": "Exact text to find and replace (must match exactly)"
            },
            "newText": {
              "type": "string",
              "description": "New text to replace the old text with"
            }
          }
        },
        "strict": false
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write",
        "description": "Write content to a file. Creates the file if it doesn't exist, overwrites if it does. Automatically creates parent directories.",
        "parameters": {
          "type": "object",
          "required": [
            "path",
            "content"
          ],
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (relative or absolute)"
            },
            "content": {
              "type": "string",
              "description": "Content to write to the file"
            }
          }
        },
        "strict": false
      }
    }
  ],
  "reasoning_effort": "high"
}

And here's the arguments + output when using curl:

$ curl http://vllm-server/v1/chat/completions      -H "Content-Type: application/json"      -d @input
data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}],"prompt_token_ids":null,"prompt_text":null}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":"The user is"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" asking for a joke (\"Tell"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" me a jok\").\nI"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"reasoning":" should provide a simple"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"Why don"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"'t scientists trust atoms?"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":"\n\nBecause they make"},"logprobs":null,"finish_reason":null,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[{"index":0,"delta":{"content":" up everything!"},"logprobs":null,"finish_reason":"stop","stop_reason":106,"token_ids":null}]}

data: {"id":"chatcmpl-82d9c5142aea5706","object":"chat.completion.chunk","created":1778877401,"model":"google/gemma-4-31B-it","choices":[],"usage":{"prompt_tokens":973,"total_tokens":1017,"completion_tokens":44},"system_fingerprint":"vllm-0.21.0-tp8-57815de2"}

Running with an official docker image, here's my arguments to docker compose:

    image: vllm/vllm-openai:v0.21.0-cu129
    runtime: nvidia
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: ["gpu"]
    ipc: host
    environment:
      VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS: "1"
      HF_HUB_OFFLINE: "1"
    command:
      - /root/model
      - --served-model-name
      - google/gemma-4-31B-it
      - --tool-call-parser
      - gemma4
      - --reasoning-parser
      - gemma4
      - --gpu-memory-utilization
      - "0.95"
      - --enable-auto-tool-choice
      - --tensor-parallel-size
      - "8"
      - --max-num-batched-tokens
      - "4096"
      - --default-chat-template-kwargs
      - '{"enable_thinking": true}'
      - --speculative-config
      - '{"method": "mtp", "model": "/root/model-mtp", "num_speculative_tokens": 5}'

@bbrowning perhaps you might have some insight?

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