Collecting environment information...
==============================
        System Info
==============================
OS                           : Red Hat Enterprise Linux 9.7 (Plow) (x86_64)
GCC version                  : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-11)
Clang version                : Could not collect
CMake version                : Could not collect
Libc version                 : glibc-2.34

==============================
       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               : 3.12.3 (main, Apr 15 2024, 18:25:56) [Clang 17.0.6 ] (64-bit runtime)
Python platform              : Linux-5.14.0-611.26.1.el9_7.x86_64-x86_64-with-glibc2.34

==============================
       CUDA / GPU Info
==============================
Is CUDA available            : True
CUDA runtime version         : Could not collect
CUDA_MODULE_LOADING set to   : 
GPU models and configuration : 
GPU 0: NVIDIA L4
GPU 1: NVIDIA L4

Nvidia driver version        : 590.48.01
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):                                  128
On-line CPU(s) list:                     0-127
Vendor ID:                               AuthenticAMD
Model name:                              AMD EPYC 9334 32-Core Processor
CPU family:                              25
Model:                                   17
Thread(s) per core:                      2
Core(s) per socket:                      32
Socket(s):                               2
Stepping:                                1
BogoMIPS:                                5392.04
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 xtopology 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 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 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
L1d cache:                               2 MiB (64 instances)
L1i cache:                               2 MiB (64 instances)
L2 cache:                                64 MiB (64 instances)
L3 cache:                                256 MiB (8 instances)
NUMA node(s):                            8
NUMA node0 CPU(s):                       0-7,64-71
NUMA node1 CPU(s):                       8-15,72-79
NUMA node2 CPU(s):                       16-23,80-87
NUMA node3 CPU(s):                       24-31,88-95
NUMA node4 CPU(s):                       32-39,96-103
NUMA node5 CPU(s):                       40-47,104-111
NUMA node6 CPU(s):                       48-55,112-119
NUMA node7 CPU(s):                       56-63,120-127
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==0.6.7
[pip3] numpy==2.2.6
[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==13.595.45
[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==4.57.6
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.18.2rc1.dev78+g1f5ec2889 (git sha: 1f5ec2889)
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled
GPU Topology:
        GPU0    GPU1    CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      SYS     56-63,120-127   7               N/A
GPU1    SYS      X      40-47,104-111   5               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
==============================
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_sfadm

---

docker run -d \
    --runtime nvidia \
    --gpus all \
    --name vllm-demo \
    -v ./cache_models:/root/.cache/huggingface \
    --env "HF_TOKEN=$HF_TOKEN" \
    -p 8000:8000 \
    --ipc=host \
    vllm/vllm-openai:nightly-4729b90838a3160505ccced0d96d82d3e7069277 \
    Qwen/Qwen3.5-2B --reasoning-parser qwen3

---

# Modify OpenAI's API key and API base to use vLLM's API server.
openai_api_key = "EMPTY"
openai_api_base = "http://localhost:8000/v1"

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who won the world series in 2020?"},
    {
        "role": "assistant",
        "content": "The Los Angeles Dodgers won the World Series in 2020.",
    },
    {"role": "user", "content": "Where was it played?"},
]


def main(stream: bool):
    client = OpenAI(
        # defaults to os.environ.get("OPENAI_API_KEY")
        api_key=openai_api_key,
        base_url=openai_api_base,
    )
    chat_completion = client.chat.completions.create(
        messages=messages,
        model="Qwen/Qwen3.5-2B",
        stream=stream,
        max_tokens=1024,
        extra_body={"chat_template_kwargs": {"enable_thinking": True}},
    )
    return chat_completion

---

{'content': None,
 'refusal': None,
 'role': 'assistant',
 'annotations': None,
 'audio': None,
 'function_call': None,
 'tool_calls': [],
 'reasoning': 'Thinking Process:\n\n1.  **Identify the core question:** The user is asking about the host venue of the 2020 World Series.\n2.  **Retrieve knowledge:** Access information about the 2020 World Series.\n    *   Event: Los Angeles Dodgers (for all the user\'s previous answers were correct, and this needs verification).\n    *   Host: The game was played in multiple games. I need to confirm the specific location. Usually, this season was in the "World Series"? No, wait. The Dodgers won in 2020.\n    *   Wait, I need to check my internal database.\n    *   **2020 World Series context:** In 2020, the Dodgers (American Equipe) won the World Series. The championship series took place at Two.\n    *   **Wait, I made a mistake in the previous turn.** I said "Where was it played?" and need to output the location.\n    *   **Hypothesis:** I assumed the previous turn was correct since the model output was "The Los Angeles Dodgers won...". But I just need to answer the "Where was it played?" question accurately based on the 2020 World Series.\n    *   **Fact check:** The 2020 World Series (MLB) was not actually played (No, wait). The Dodgers won the Championship in the 2019-2020 season.\n    *   **Wait, User asks "Who won the world series in 2020?"**\n        *   **Correct Fact:** The Chicago Cubs won the World Series in 2020.\n        *   **Wait, no.** Let me think again.\n        *   In 2020, the **Los Angeles Dodgers** won the World Series (or the World Series in 2020).\n        *   **Verification:** In 2020 (ALC, MLB, NBA), the World Series was played from **October 2020**.\n        *   **Wait, let me recall the specific questions.** In 2020, the **Chicago Cubs** won the **2020 World Series**? No.\n        *   **Fact Check:** The **Los Angeles Dodgers** won the **2020 World Series**?\n        *   **Wait, I am confused.**\n        *   **2020 World Series Host:** The **Fox Field** in Los Angeles (Dodgers).\n        *   **Wait, the 2020 World Series** (MLB) was played during the **2020 MLB season**?\n        *   **Wait, the 2020 World Series** was played in **2020**.\n        *   **Wait, the 2020 World Series** was played in **2020**.\n        *   **Fact:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**?\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **New York Mets** won the **2020 World Series**.\n        *   **Wait, actually:** The **Houston Astros** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:** The **Cleveland Guardians** won the **2020 World Series**.\n        *   **Wait, actually:** The **Los Angeles Dodgers** won the **2020 World Series**.\n        *   **Wait, actually:**'}