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vllm - 💡(How to fix) Fix [Bug]: Kimi 2.6 + Kimi K2 tool parser passes malformed JSON in tool-call arguments to client without validation [1 comments, 2 participants]

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vllm-project/vllm#41739•Fetched 2026-05-06 06:15:08
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Author
prakhar-prakash-juspayprakhar-prakash-juspay
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liulanzeliulanzeprakhar-prakash-juspayprakhar-prakash-juspay
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Fix Action

Fix / Workaround

============================== 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): 192 On-line CPU(s) list: 0-191 Vendor ID: GenuineIntel Model name: INTEL(R) XEON(R) PLATINUM 8568Y+ CPU family: 6 Model: 207 Thread(s) per core: 2 Core(s) per socket: 48 Socket(s): 2 Stepping: 2 CPU(s) scaling MHz: 53% CPU max MHz: 4000.0000 CPU min MHz: 800.0000 BogoMIPS: 4600.00 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 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 intel_ppin 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 ibpb_exit_to_user Virtualization: VT-x L1d cache: 4.5 MiB (96 instances) L1i cache: 3 MiB (96 instances) L2 cache: 192 MiB (96 instances) L3 cache: 600 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-47,96-143 NUMA node1 CPU(s): 48-95,144-191 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: 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; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB before exit to userspace

Code Example

Collecting environment information...
==============================
        System Info
==============================
OS                           : Ubuntu 24.04.3 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version                : Could not collect
CMake version                : version 3.28.3
Libc version                 : glibc-2.39

==============================
       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
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Mar 23 2026, 19:04:32) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.8.0-106-generic-x86_64-with-glibc2.39
    
==============================
       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 H200
GPU 1: NVIDIA H200
GPU 2: NVIDIA H200
GPU 3: NVIDIA H200
GPU 4: NVIDIA H200
GPU 5: NVIDIA H200
GPU 6: NVIDIA H200
GPU 7: NVIDIA H200

Nvidia driver version        : 595.58.03
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):                                  192
On-line CPU(s) list:                     0-191
Vendor ID:                               GenuineIntel
Model name:                              INTEL(R) XEON(R) PLATINUM 8568Y+
CPU family:                              6
Model:                                   207
Thread(s) per core:                      2
Core(s) per socket:                      48
Socket(s):                               2
Stepping:                                2
CPU(s) scaling MHz:                      53%
CPU max MHz:                             4000.0000
CPU min MHz:                             800.0000
BogoMIPS:                                4600.00
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 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 intel_ppin 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 ibpb_exit_to_user
Virtualization:                          VT-x
L1d cache:                               4.5 MiB (96 instances)
L1i cache:                               3 MiB (96 instances)
L2 cache:                                192 MiB (96 instances)
L3 cache:                                600 MiB (2 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-47,96-143
NUMA node1 CPU(s):                       48-95,144-191
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:      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; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.6
[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==5.7.0
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.1.dev15396+g3fd49ffc5 (git sha: 3fd49ffc5)
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
  	GPU0	GPU1	GPU2	GPU3	GPU4	GPU5	GPU6	GPU7	NIC0	NIC1	NIC2	NIC3	NIC4	NIC5	NIC6	NIC7	NIC8	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	X 	NV18	NV18	NV18	NV18	NV18	NV18	NV18	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU1	NV18	X 	NV18	NV18	NV18	NV18	NV18	NV18	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU2	NV18	NV18	X 	NV18	NV18	NV18	NV18	NV18	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU3	NV18	NV18	NV18	X 	NV18	NV18	NV18	NV18	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU4	NV18	NV18	NV18	NV18	X 	NV18	NV18	NV18	SYS	SYS	SYS	SYS	PIX	NODE	NODE	NODE	NODE	48-95,144-191	1		N/A
GPU5	NV18	NV18	NV18	NV18	NV18	X 	NV18	NV18	SYS	SYS	SYS	SYS	NODE	PIX	NODE	NODE	NODE	48-95,144-191	1		N/A
GPU6	NV18	NV18	NV18	NV18	NV18	NV18	X 	NV18	SYS	SYS	SYS	SYS	NODE	NODE	PIX	NODE	NODE	48-95,144-191	1		N/A
GPU7	NV18	NV18	NV18	NV18	NV18	NV18	NV18	X 	SYS	SYS	SYS	SYS	NODE	NODE	NODE	PIX	NODE	48-95,144-191	1		N/A
NIC0	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	X 	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS				
NIC1	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	NODE	X 	NODE	NODE	SYS	SYS	SYS	SYS	SYS				
NIC2	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	NODE	NODE	X 	NODE	SYS	SYS	SYS	SYS	SYS				
NIC3	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	NODE	NODE	NODE	X 	SYS	SYS	SYS	SYS	SYS				
NIC4	SYS	SYS	SYS	SYS	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	X 	NODE	NODE	NODE	NODE				
NIC5	SYS	SYS	SYS	SYS	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	NODE	X 	NODE	NODE	NODE				
NIC6	SYS	SYS	SYS	SYS	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	NODE	NODE	X 	NODE	NODE				
NIC7	SYS	SYS	SYS	SYS	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	NODE	NODE	NODE	X 	NODE				
NIC8	SYS	SYS	SYS	SYS	NODE	NODE	NODE	NODE	SYS	SYS	SYS	SYS	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_bond_0

==============================
     Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/cuda-12.9/lib64:
CUDA_HOME=/usr/local/cuda-12.9
CUDA_HOME=/usr/local/cuda-12.9
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_ubuntu
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 24.04.3 LTS (x86_64)
GCC version                  : (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version                : Could not collect
CMake version                : version 3.28.3
Libc version                 : glibc-2.39

==============================
       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
XPU used to build PyTorch    : N/A

==============================
      Python Environment
==============================
Python version               : 3.12.3 (main, Mar 23 2026, 19:04:32) [GCC 13.3.0] (64-bit runtime)
Python platform              : Linux-6.8.0-106-generic-x86_64-with-glibc2.39
    
==============================
       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 H200
GPU 1: NVIDIA H200
GPU 2: NVIDIA H200
GPU 3: NVIDIA H200
GPU 4: NVIDIA H200
GPU 5: NVIDIA H200
GPU 6: NVIDIA H200
GPU 7: NVIDIA H200

Nvidia driver version        : 595.58.03
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):                                  192
On-line CPU(s) list:                     0-191
Vendor ID:                               GenuineIntel
Model name:                              INTEL(R) XEON(R) PLATINUM 8568Y+
CPU family:                              6
Model:                                   207
Thread(s) per core:                      2
Core(s) per socket:                      48
Socket(s):                               2
Stepping:                                2
CPU(s) scaling MHz:                      53%
CPU max MHz:                             4000.0000
CPU min MHz:                             800.0000
BogoMIPS:                                4600.00
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 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 intel_ppin 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 ibpb_exit_to_user
Virtualization:                          VT-x
L1d cache:                               4.5 MiB (96 instances)
L1i cache:                               3 MiB (96 instances)
L2 cache:                                192 MiB (96 instances)
L3 cache:                                600 MiB (2 instances)
NUMA node(s):                            2
NUMA node0 CPU(s):                       0-47,96-143
NUMA node1 CPU(s):                       48-95,144-191
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:      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; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds:                     Not affected
Vulnerability Tsa:                       Not affected
Vulnerability Tsx async abort:           Not affected
Vulnerability Vmscape:                   Mitigation; IBPB before exit to userspace

==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.6
[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==5.7.0
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.1.dev15396+g3fd49ffc5 (git sha: 3fd49ffc5)
vLLM Build Flags:
  CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
  	GPU0	GPU1	GPU2	GPU3	GPU4	GPU5	GPU6	GPU7	NIC0	NIC1	NIC2	NIC3	NIC4	NIC5	NIC6	NIC7	NIC8	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	X 	NV18	NV18	NV18	NV18	NV18	NV18	NV18	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU1	NV18	X 	NV18	NV18	NV18	NV18	NV18	NV18	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU2	NV18	NV18	X 	NV18	NV18	NV18	NV18	NV18	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU3	NV18	NV18	NV18	X 	NV18	NV18	NV18	NV18	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	SYS	0-47,96-143	0		N/A
GPU4	NV18	NV18	NV18	NV18	X 	NV18	NV18	NV18	SYS	SYS	SYS	SYS	PIX	NODE	NODE	NODE	NODE	48-95,144-191	1		N/A
GPU5	NV18	NV18	NV18	NV18	NV18	X 	NV18	NV18	SYS	SYS	SYS	SYS	NODE	PIX	NODE	NODE	NODE	48-95,144-191	1		N/A
GPU6	NV18	NV18	NV18	NV18	NV18	NV18	X 	NV18	SYS	SYS	SYS	SYS	NODE	NODE	PIX	NODE	NODE	48-95,144-191	1		N/A
GPU7	NV18	NV18	NV18	NV18	NV18	NV18	NV18	X 	SYS	SYS	SYS	SYS	NODE	NODE	NODE	PIX	NODE	48-95,144-191	1		N/A
NIC0	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	X 	NODE	NODE	NODE	SYS	SYS	SYS	SYS	SYS				
NIC1	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	NODE	X 	NODE	NODE	SYS	SYS	SYS	SYS	SYS				
NIC2	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	NODE	NODE	X 	NODE	SYS	SYS	SYS	SYS	SYS				
NIC3	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	NODE	NODE	NODE	X 	SYS	SYS	SYS	SYS	SYS				
NIC4	SYS	SYS	SYS	SYS	PIX	NODE	NODE	NODE	SYS	SYS	SYS	SYS	X 	NODE	NODE	NODE	NODE				
NIC5	SYS	SYS	SYS	SYS	NODE	PIX	NODE	NODE	SYS	SYS	SYS	SYS	NODE	X 	NODE	NODE	NODE				
NIC6	SYS	SYS	SYS	SYS	NODE	NODE	PIX	NODE	SYS	SYS	SYS	SYS	NODE	NODE	X 	NODE	NODE				
NIC7	SYS	SYS	SYS	SYS	NODE	NODE	NODE	PIX	SYS	SYS	SYS	SYS	NODE	NODE	NODE	X 	NODE				
NIC8	SYS	SYS	SYS	SYS	NODE	NODE	NODE	NODE	SYS	SYS	SYS	SYS	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_bond_0

==============================
     Environment Variables
==============================
LD_LIBRARY_PATH=/usr/local/cuda-12.9/lib64:
CUDA_HOME=/usr/local/cuda-12.9
CUDA_HOME=/usr/local/cuda-12.9
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_ubuntu
</details>

🐛 Describe the bug

  • vLLM v0.19.1
  • Model: moonshotai/Kimi-K2.6 args: [ 'serve', 'moonshotai/Kimi-K2.6', '--host', '0.0.0.0', '--port', '8000', '--tensor-parallel-size', '8', '--max-model-len', '262144', '--kv-cache-dtype', 'auto', '--gpu-memory-utilization', '0.9', '--max-num-batched-tokens', '16384', '--chat-template', './chat_template.jinja', '--enable-prefix-caching', '--override-generation-config', '{"temperature": 1.0, "top_p": 0.95, "max_new_tokens": 131000, "repetition_penalty": 1.05}', '--served-model-name', '', '', '--decode-context-parallel-size', '8', '--mm-encoder-tp-mode', 'data', '--mm-processor-cache-type', 'shm', '--trust-remote-code', '--tokenizer-mode', 'hf', '--default-chat-template-kwargs', '{"thinking": true}', '--enable-chunked-prefill', '--max-num-seqs', '64', '--max-cudagraph-capture-size', '128', '--compilation-config', '{"cudagraph_mode": "FULL_AND_PIECEWISE"}', '--enable-auto-tool-choice', '--tool-call-parser', 'kimi_k2', '--reasoning-parser', 'kimi_k2', '--kv-cache-metrics', '--kv-cache-metrics-sample', '0.05' ]

Kimi 2.6 with The Kimi K2 tool parser (vllm/tool_parsers/kimi_k2_tool_parser.py) extracts tool-call arguments via regex from between <|tool_call_argument_begin|> and <|tool_call_end|> markers, then emits the raw extracted string as FunctionCall.arguments without ever calling json.loads to validate the JSON.

When the model generates structurally-malformed JSON — most commonly during long-content tool calls — broken arguments are passed straight through to the client. The OpenAI-compatible response is "successful" (HTTP 200) but tool_call.arguments fails any downstream JSON parser.

This is a different concern from #37184 (buffer limits / delta diffing / token leakage). Even after that PR lands, the parser will continue to emit invalid JSON to clients without any signal that it did so.

Example: tool_call.arguments = '{"input": "{"key": "value"...}"' ← outer } missing

Before submitting a new issue...

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extent analysis

TL;DR

The issue can be fixed by modifying the Kimi K2 tool parser to validate the extracted JSON string using json.loads before emitting it as FunctionCall.arguments.

Guidance

  • Identify the kimi_k2_tool_parser.py file and locate the function responsible for extracting tool-call arguments.
  • Modify the function to use json.loads to validate the extracted JSON string.
  • If the validation fails, handle the error and provide a meaningful error message or fallback behavior.
  • Consider adding additional logging or metrics to track instances of malformed JSON being generated by the model.

Example

import json

# ...

def extract_tool_call_arguments(text):
    # Extract the argument string using regex
    argument_string = extract_argument_string(text)
    
    try:
        # Validate the JSON string using json.loads
        arguments = json.loads(argument_string)
        return arguments
    except json.JSONDecodeError as e:
        # Handle the error and provide a meaningful error message
        logging.error(f"Invalid JSON: {argument_string}")
        return None

Notes

  • This fix assumes that the kimi_k2_tool_parser.py file is modifiable and that the json library is available.
  • Additional error handling and logging may be necessary depending on the specific requirements of the application.

Recommendation

Apply the workaround by modifying the kimi_k2_tool_parser.py file to validate the extracted JSON string using json.loads. This will prevent malformed JSON from being emitted as FunctionCall.arguments and provide a more robust parsing mechanism.

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