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vllm - 💡(How to fix) Fix [Bug]: M2.5 tool call result is badcase, deploy 1p1d with nixl connector, P and D use DP8-EP-TP1 [1 participants]

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vllm-project/vllm#38203•Fetched 2026-04-08 01:31:39
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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 8558 CPU family: 6 Model: 207 Thread(s) per core: 2 Core(s) per socket: 48 Socket(s): 2 Stepping: 2 CPU max MHz: 4000.0000 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 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 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsg sbase 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 hwp hwp_act_window hwp_epp hwp_pkg_req 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_capabiliti es Virtualization: VT-x L1d cache: 4.5 MiB (96 instances) L1i cache: 3 MiB (96 instances) L2 cache: 192 MiB (96 instances) L3 cache: 520 MiB (2 instances) NUMA node(s): 4 NUMA node0 CPU(s): 0-23,96-119 NUMA node1 CPU(s): 24-47,120-143 NUMA node2 CPU(s): 48-71,144-167 NUMA node3 CPU(s): 72-95,168-191 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

Code Example

root@hgx-034:/vllm-workspace# python3 collect_env.py
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              : 2.10.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM 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-5.15.0-94-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 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        : 570.86.10
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 8558
CPU family:                         6
Model:                              207
Thread(s) per core:                 2
Core(s) per socket:                 48
Socket(s):                          2
Stepping:                           2
CPU max MHz:                        4000.0000
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 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 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsg
sbase 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 hwp hwp_act_window hwp_epp hwp_pkg_req 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_capabiliti
es
Virtualization:                     VT-x
L1d cache:                          4.5 MiB (96 instances)
L1i cache:                          3 MiB (96 instances)
L2 cache:                           192 MiB (96 instances)
L3 cache:                           520 MiB (2 instances)
NUMA node(s):                       4
NUMA node0 CPU(s):                  0-23,96-119
NUMA node1 CPU(s):                  24-47,120-143
NUMA node2 CPU(s):                  48-71,144-167
NUMA node3 CPU(s):                  72-95,168-191
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==0.6.6
[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==9.10.2.21
[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==2.27.5
[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] torch==2.10.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.10.0+cu129
[pip3] torchvision==0.25.0+cu129
[pip3] transformers==4.57.6
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.18.0
vLLM Build Flags:
  CUDA Archs: 7.0 7.5 8.0 8.9 9.0 10.0 12.0; ROCm: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    NIC8    NIC9    NIC10   CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     0-23,96-119     0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     0-23,96-119     0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS     SYS     24-47,120-143   1               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     24-47,120-143   1               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     NODE    48-71,144-167   2               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     NODE    48-71,144-167   2               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     72-95,168-191   3               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     72-95,168-191   3               N/A
NIC0    PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS
NIC1    NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS
NIC2    SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC3    SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC4    SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     NODE
NIC5    SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     NODE
NIC6    SYS     SYS     SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS
NIC7    SYS     SYS     SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS
NIC8    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYS
NIC9    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYS
NIC10   SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS      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_20
  NIC9: mlx5_21
  NIC10: mlx5_bond_0

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=GPU-f1929d00-589c-97af-33be-ab90a35912d2,GPU-76951cd7-0760-44fd-cd72-e3af14a1d8dc,GPU-3454b6dd-1185-dbf7-f47c-21d7905c37d1,GPU-b669d1e5-4af7-bc74-1210-454327aa40ee,GPU-e303371b-f506-fe59-40b2-
1f09fe0715f9,GPU-e5204e5d-89f9-391f-5521-cb7b1f309d4d,GPU-1fe3033c-b5c7-3eaf-8218-35df974b06ef,GPU-1f8eb091-ca88-9ef9-5ad6-02900803e9fb
VLLM_MOE_DP_CHUNK_SIZE=64
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=clo
udgaming,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=cl
oudgaming,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 bran
d=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=c
loudgaming,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 bra
nd=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 br
and=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
VLLM_ENABLE_MOE_DP_CHUNK=0
TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.9 9.0 10.0 12.0
NCCL_SOCKET_IFNAME=bond0
VLLM_USE_DEEP_GEMM_E8M0=0
NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_NIXL_SIDE_CHANNEL_PORT=5557
VLLM_NIXL_SIDE_CHANNEL_HOST=10.0.0.34
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.9.1
VLLM_ENABLE_CUDA_COMPATIBILITY=0
VLLM_USE_NCCL_SYMM_MEM=1
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64
CUDA_VISIBLE_DEVICES_SXB=0,1,2,3
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

root@hgx-034:/vllm-workspace#

---

{
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null,
      "message": {
        "annotations": null,
        "audio": null,
        "content": "",
        "function_call": null,
        "reasoning": "<minimax:tool_call>\n<invoke name=\"get_time\">\n<parameter name=\"timezone\">Asia/Tokyo</parameter>\n</invoke>\n</minimax:tool_call>",
        "refusal": null,
        "role": "assistant",
        "tool_calls": [
          {
            "function": {
              "arguments": "",
              "name": "get_weather"
            },
            "id": "chatcmpl-tool-8da5ed89077793ef",
            "type": "function"
          }
        ]
      },
      "stop_reason": null,
      "token_ids": null
    }
  ],
  "created": 1774511041,
  "id": "chatcmpl-5415357f-94fb-416e-ad75-cf3ad57064c0",
  "kv_transfer_params": null,
  "model": "MiniMax-M2.5",
  "object": "chat.completion",
  "prompt_logprobs": null,
  "prompt_token_ids": null,
  "service_tier": null,
  "system_fingerprint": null,
  "usage": {
    "completion_tokens": 26,
    "prompt_tokens": 242,
    "prompt_tokens_details": null,
    "total_tokens": 268
  },
  "input": {
    "model": "ep-minimax-m2.5-7e3713",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "What time is it in Tokyo?"
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get weather for a location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "get_time",
          "description": "Get current time",
          "parameters": {
            "type": "object",
            "properties": {
              "timezone": {
                "type": "string"
              }
            },
            "required": [
              "timezone"
            ]
          }
        }
      }
    ],
    "tool_choice": {
      "type": "function",
      "function": {
        "name": "get_weather"
      }
    }
  }
}

---

{
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null,
      "message": {
        "annotations": null,
        "audio": null,
        "content": "",
        "function_call": null,
        "reasoning": "The user is asking about the current time in Tokyo. I should use the get_time function with the timezone set to \"Asia/Tokyo\" to get the current time in Tokyo.\n",
        "refusal": null,
        "role": "assistant",
        "tool_calls": [
          {
            "function": {
              "arguments": "{\n  \"location\": \"Asia/Tokyo\"\n}",
              "name": "get_weather"
            },
            "id": "chatcmpl-tool-8ece9984cdb43c58",
            "type": "function"
          }
        ]
      },
      "stop_reason": null,
      "token_ids": null
    }
  ],
  "created": 1774511036,
  "id": "chatcmpl-07316000-48aa-45dc-be80-5d8242e02c94",
  "kv_transfer_params": null,
  "model": "MiniMax-M2.5",
  "object": "chat.completion",
  "prompt_logprobs": null,
  "prompt_token_ids": null,
  "service_tier": null,
  "system_fingerprint": null,
  "usage": {
    "completion_tokens": 49,
    "prompt_tokens": 242,
    "prompt_tokens_details": null,
    "total_tokens": 291
  },
  "input": {
    "model": "ep-minimax-m2.5-7e3713",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "What time is it in Tokyo?"
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get weather for a location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "get_time",
          "description": "Get current time",
          "parameters": {
            "type": "object",
            "properties": {
              "timezone": {
                "type": "string"
              }
            },
            "required": [
              "timezone"
            ]
          }
        }
      }
    ],
    "tool_choice": {
      "type": "function",
      "function": {
        "name": "get_weather"
      }
    }
  }
}

---

P: config:
      spec:
        containers:
          - args:
              - |
                echo $(LWS_LEADER_ADDRESS)
                exec vllm serve /data/models/MiniMax-M2.5 \
                  --served-model-name MiniMax-M2.5 \
                  --data-parallel-size 8 \
                  --tensor-parallel-size 1 \
                  --enable-expert-parallel \
                  --data-parallel-start-rank 0 \
                  --data-parallel-size-local 8 \
                  --data-parallel-address ${DATA_PARALLEL_ADDRESS} \
                  --data-parallel-rpc-port 55555 \
                  --data-parallel-backend mp \
                  --kv-transfer-config '{"kv_connector": "NixlConnector","kv_role": "kv_both"}' \
                  --distributed-executor-backend mp \
                  --host 0.0.0.0 \
                  --port 8080 \
                  --tool-call-parser minimax_m2 \
                  --enable-auto-tool-choice \
                  --trust_remote_code \
                  --reasoning-parser minimax_m2
            command:
              - /bin/sh
              - '-c'
            env:
              - name: POD_IP
                valueFrom:
                  fieldRef:
                    fieldPath: status.podIP
              - name: DATA_PARALLEL_ADDRESS
                value: $(POD_IP)
              - name: VLLM_USE_DEEP_GEMM_E8M0
                value: '0'
              - name: VLLM_USE_NCCL_SYMM_MEM
                value: '1'
              - name: VLLM_DECODE_ATTN_TP_SIZE
                value: '1'
              - name: GLOO_SOCKET_IFNAME
                value: bond0
              - name: NCCL_SOCKET_IFNAME
                value: bond0
              - name: VLLM_NIXL_SIDE_CHANNEL_HOST
                value: $(POD_IP)
              - name: VLLM_NIXL_SIDE_CHANNEL_PORT
                value: '5557'
              - name: UCX_NET_DEVICES
                value: >-
                  mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1,mlx5_4:1,mlx5_5:1,mlx5_6:1,mlx5_7:1

---

D config:
      spec:
        containers:
          - args:
              - |
                echo $(LWS_LEADER_ADDRESS)
                exec vllm serve /data/models/MiniMax-M2.5 \
                  --served-model-name MiniMax-M2.5 \
                  --data-parallel-size 8 \
                  --tensor-parallel-size 1 \
                  --enable-expert-parallel \
                  --data-parallel-start-rank 0 \
                  --data-parallel-size-local 8 \
                  --data-parallel-address ${DATA_PARALLEL_ADDRESS} \
                  --data-parallel-rpc-port 55555 \
                  --data-parallel-backend mp \
                  --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_both"}' \
                  --distributed-executor-backend mp \
                  --host 0.0.0.0 \
                  --port 8080 \
                  --enable-auto-tool-choice \
                  --trust_remote_code \
                  --tool-call-parser minimax_m2 \
                  --reasoning-parser minimax_m2
            command:
              - /bin/sh
              - '-c'
            env:
              - name: POD_IP
                valueFrom:
                  fieldRef:
                    fieldPath: status.podIP
              - name: DATA_PARALLEL_ADDRESS
                value: $(POD_IP)
              - name: VLLM_USE_DEEP_GEMM_E8M0
                value: '0'
              - name: VLLM_USE_NCCL_SYMM_MEM
                value: '1'
              - name: VLLM_AVOID_DP_SYNC
                value: '0'
              - name: VLLM_DECODE_STEP
                value: '1'
              - name: VLLM_MOE_DP_CHUNK_SIZE
                value: '64'
              - name: GLOO_SOCKET_IFNAME
                value: bond0
              - name: NCCL_SOCKET_IFNAME
                value: bond0
              - name: VLLM_NIXL_SIDE_CHANNEL_HOST
                value: $(POD_IP)
              - name: VLLM_NIXL_SIDE_CHANNEL_PORT
                value: '5557'
              - name: VLLM_ENABLE_MOE_DP_CHUNK
                value: '0'
              - name: UCX_NET_DEVICES
                value: >-
                  mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1,mlx5_4:1,mlx5_5:1,mlx5_6:1,mlx5_7:1
RAW_BUFFERClick to expand / collapse

Your current environment

<details> <summary>The output of <code>python collect_env.py</code></summary> 
root@hgx-034:/vllm-workspace# python3 collect_env.py
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              : 2.10.0+cu129
Is debug build               : False
CUDA used to build PyTorch   : 12.9
ROCM 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-5.15.0-94-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 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        : 570.86.10
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 8558
CPU family:                         6
Model:                              207
Thread(s) per core:                 2
Core(s) per socket:                 48
Socket(s):                          2
Stepping:                           2
CPU max MHz:                        4000.0000
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 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 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsg
sbase 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 hwp hwp_act_window hwp_epp hwp_pkg_req 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_capabiliti
es
Virtualization:                     VT-x
L1d cache:                          4.5 MiB (96 instances)
L1i cache:                          3 MiB (96 instances)
L2 cache:                           192 MiB (96 instances)
L3 cache:                           520 MiB (2 instances)
NUMA node(s):                       4
NUMA node0 CPU(s):                  0-23,96-119
NUMA node1 CPU(s):                  24-47,120-143
NUMA node2 CPU(s):                  48-71,144-167
NUMA node3 CPU(s):                  72-95,168-191
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==0.6.6
[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==9.10.2.21
[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==2.27.5
[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] torch==2.10.0+cu129
[pip3] torch_c_dlpack_ext==0.1.5
[pip3] torchaudio==2.10.0+cu129
[pip3] torchvision==0.25.0+cu129
[pip3] transformers==4.57.6
[pip3] triton==3.6.0
[conda] Could not collect

==============================
         vLLM Info
==============================
ROCM Version                 : Could not collect
vLLM Version                 : 0.18.0
vLLM Build Flags:
  CUDA Archs: 7.0 7.5 8.0 8.9 9.0 10.0 12.0; ROCm: Disabled
GPU Topology:
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    NIC0    NIC1    NIC2    NIC3    NIC4    NIC5    NIC6    NIC7    NIC8    NIC9    NIC10   CPU Affinity    NUMA Affinity   GPU NUMA ID
GPU0     X      NV18    NV18    NV18    NV18    NV18    NV18    NV18    PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     0-23,96-119     0               N/A
GPU1    NV18     X      NV18    NV18    NV18    NV18    NV18    NV18    NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     0-23,96-119     0               N/A
GPU2    NV18    NV18     X      NV18    NV18    NV18    NV18    NV18    SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS     SYS     24-47,120-143   1               N/A
GPU3    NV18    NV18    NV18     X      NV18    NV18    NV18    NV18    SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     SYS     24-47,120-143   1               N/A
GPU4    NV18    NV18    NV18    NV18     X      NV18    NV18    NV18    SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     NODE    48-71,144-167   2               N/A
GPU5    NV18    NV18    NV18    NV18    NV18     X      NV18    NV18    SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     NODE    48-71,144-167   2               N/A
GPU6    NV18    NV18    NV18    NV18    NV18    NV18     X      NV18    SYS     SYS     SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     72-95,168-191   3               N/A
GPU7    NV18    NV18    NV18    NV18    NV18    NV18    NV18     X      SYS     SYS     SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     72-95,168-191   3               N/A
NIC0    PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS
NIC1    NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS
NIC2    SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC3    SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     SYS     SYS     SYS
NIC4    SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS     SYS     NODE
NIC5    SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS     SYS     NODE
NIC6    SYS     SYS     SYS     SYS     SYS     SYS     PIX     NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      NODE    SYS     SYS     SYS
NIC7    SYS     SYS     SYS     SYS     SYS     SYS     NODE    PIX     SYS     SYS     SYS     SYS     SYS     SYS     NODE     X      SYS     SYS     SYS
NIC8    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS      X      PIX     SYS
NIC9    NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     PIX      X      SYS
NIC10   SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS     SYS     SYS     NODE    NODE    SYS     SYS     SYS     SYS      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_20
  NIC9: mlx5_21
  NIC10: mlx5_bond_0

==============================
     Environment Variables
==============================
NVIDIA_VISIBLE_DEVICES=GPU-f1929d00-589c-97af-33be-ab90a35912d2,GPU-76951cd7-0760-44fd-cd72-e3af14a1d8dc,GPU-3454b6dd-1185-dbf7-f47c-21d7905c37d1,GPU-b669d1e5-4af7-bc74-1210-454327aa40ee,GPU-e303371b-f506-fe59-40b2-
1f09fe0715f9,GPU-e5204e5d-89f9-391f-5521-cb7b1f309d4d,GPU-1fe3033c-b5c7-3eaf-8218-35df974b06ef,GPU-1f8eb091-ca88-9ef9-5ad6-02900803e9fb
VLLM_MOE_DP_CHUNK_SIZE=64
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=clo
udgaming,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=cl
oudgaming,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 bran
d=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=c
loudgaming,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 bra
nd=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 br
and=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
VLLM_ENABLE_MOE_DP_CHUNK=0
TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.9 9.0 10.0 12.0
NCCL_SOCKET_IFNAME=bond0
VLLM_USE_DEEP_GEMM_E8M0=0
NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_NIXL_SIDE_CHANNEL_PORT=5557
VLLM_NIXL_SIDE_CHANNEL_HOST=10.0.0.34
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.9.1
VLLM_ENABLE_CUDA_COMPATIBILITY=0
VLLM_USE_NCCL_SYMM_MEM=1
LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64
CUDA_VISIBLE_DEVICES_SXB=0,1,2,3
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
TORCHINDUCTOR_CACHE_DIR=/tmp/torchinductor_root

root@hgx-034:/vllm-workspace#
</details>

🐛 Describe the bug

M2.5 model on Vllm-v0.18, 1P1D, DP8-EP-TP1, send tool call case to api, but result have badcase of repeat and tool call args is null

TP4 not have this problem

badcase:

{
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null,
      "message": {
        "annotations": null,
        "audio": null,
        "content": "",
        "function_call": null,
        "reasoning": "<minimax:tool_call>\n<invoke name=\"get_time\">\n<parameter name=\"timezone\">Asia/Tokyo</parameter>\n</invoke>\n</minimax:tool_call>",
        "refusal": null,
        "role": "assistant",
        "tool_calls": [
          {
            "function": {
              "arguments": "",
              "name": "get_weather"
            },
            "id": "chatcmpl-tool-8da5ed89077793ef",
            "type": "function"
          }
        ]
      },
      "stop_reason": null,
      "token_ids": null
    }
  ],
  "created": 1774511041,
  "id": "chatcmpl-5415357f-94fb-416e-ad75-cf3ad57064c0",
  "kv_transfer_params": null,
  "model": "MiniMax-M2.5",
  "object": "chat.completion",
  "prompt_logprobs": null,
  "prompt_token_ids": null,
  "service_tier": null,
  "system_fingerprint": null,
  "usage": {
    "completion_tokens": 26,
    "prompt_tokens": 242,
    "prompt_tokens_details": null,
    "total_tokens": 268
  },
  "input": {
    "model": "ep-minimax-m2.5-7e3713",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "What time is it in Tokyo?"
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get weather for a location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "get_time",
          "description": "Get current time",
          "parameters": {
            "type": "object",
            "properties": {
              "timezone": {
                "type": "string"
              }
            },
            "required": [
              "timezone"
            ]
          }
        }
      }
    ],
    "tool_choice": {
      "type": "function",
      "function": {
        "name": "get_weather"
      }
    }
  }
}

success demo(should be):

{
  "choices": [
    {
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null,
      "message": {
        "annotations": null,
        "audio": null,
        "content": "",
        "function_call": null,
        "reasoning": "The user is asking about the current time in Tokyo. I should use the get_time function with the timezone set to \"Asia/Tokyo\" to get the current time in Tokyo.\n",
        "refusal": null,
        "role": "assistant",
        "tool_calls": [
          {
            "function": {
              "arguments": "{\n  \"location\": \"Asia/Tokyo\"\n}",
              "name": "get_weather"
            },
            "id": "chatcmpl-tool-8ece9984cdb43c58",
            "type": "function"
          }
        ]
      },
      "stop_reason": null,
      "token_ids": null
    }
  ],
  "created": 1774511036,
  "id": "chatcmpl-07316000-48aa-45dc-be80-5d8242e02c94",
  "kv_transfer_params": null,
  "model": "MiniMax-M2.5",
  "object": "chat.completion",
  "prompt_logprobs": null,
  "prompt_token_ids": null,
  "service_tier": null,
  "system_fingerprint": null,
  "usage": {
    "completion_tokens": 49,
    "prompt_tokens": 242,
    "prompt_tokens_details": null,
    "total_tokens": 291
  },
  "input": {
    "model": "ep-minimax-m2.5-7e3713",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": "What time is it in Tokyo?"
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get weather for a location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      },
      {
        "type": "function",
        "function": {
          "name": "get_time",
          "description": "Get current time",
          "parameters": {
            "type": "object",
            "properties": {
              "timezone": {
                "type": "string"
              }
            },
            "required": [
              "timezone"
            ]
          }
        }
      }
    ],
    "tool_choice": {
      "type": "function",
      "function": {
        "name": "get_weather"
      }
    }
  }
}
P: config:
      spec:
        containers:
          - args:
              - |
                echo $(LWS_LEADER_ADDRESS)
                exec vllm serve /data/models/MiniMax-M2.5 \
                  --served-model-name MiniMax-M2.5 \
                  --data-parallel-size 8 \
                  --tensor-parallel-size 1 \
                  --enable-expert-parallel \
                  --data-parallel-start-rank 0 \
                  --data-parallel-size-local 8 \
                  --data-parallel-address ${DATA_PARALLEL_ADDRESS} \
                  --data-parallel-rpc-port 55555 \
                  --data-parallel-backend mp \
                  --kv-transfer-config '{"kv_connector": "NixlConnector","kv_role": "kv_both"}' \
                  --distributed-executor-backend mp \
                  --host 0.0.0.0 \
                  --port 8080 \
                  --tool-call-parser minimax_m2 \
                  --enable-auto-tool-choice \
                  --trust_remote_code \
                  --reasoning-parser minimax_m2
            command:
              - /bin/sh
              - '-c'
            env:
              - name: POD_IP
                valueFrom:
                  fieldRef:
                    fieldPath: status.podIP
              - name: DATA_PARALLEL_ADDRESS
                value: $(POD_IP)
              - name: VLLM_USE_DEEP_GEMM_E8M0
                value: '0'
              - name: VLLM_USE_NCCL_SYMM_MEM
                value: '1'
              - name: VLLM_DECODE_ATTN_TP_SIZE
                value: '1'
              - name: GLOO_SOCKET_IFNAME
                value: bond0
              - name: NCCL_SOCKET_IFNAME
                value: bond0
              - name: VLLM_NIXL_SIDE_CHANNEL_HOST
                value: $(POD_IP)
              - name: VLLM_NIXL_SIDE_CHANNEL_PORT
                value: '5557'
              - name: UCX_NET_DEVICES
                value: >-
                  mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1,mlx5_4:1,mlx5_5:1,mlx5_6:1,mlx5_7:1
D config:
      spec:
        containers:
          - args:
              - |
                echo $(LWS_LEADER_ADDRESS)
                exec vllm serve /data/models/MiniMax-M2.5 \
                  --served-model-name MiniMax-M2.5 \
                  --data-parallel-size 8 \
                  --tensor-parallel-size 1 \
                  --enable-expert-parallel \
                  --data-parallel-start-rank 0 \
                  --data-parallel-size-local 8 \
                  --data-parallel-address ${DATA_PARALLEL_ADDRESS} \
                  --data-parallel-rpc-port 55555 \
                  --data-parallel-backend mp \
                  --kv-transfer-config '{"kv_connector":"NixlConnector","kv_role":"kv_both"}' \
                  --distributed-executor-backend mp \
                  --host 0.0.0.0 \
                  --port 8080 \
                  --enable-auto-tool-choice \
                  --trust_remote_code \
                  --tool-call-parser minimax_m2 \
                  --reasoning-parser minimax_m2
            command:
              - /bin/sh
              - '-c'
            env:
              - name: POD_IP
                valueFrom:
                  fieldRef:
                    fieldPath: status.podIP
              - name: DATA_PARALLEL_ADDRESS
                value: $(POD_IP)
              - name: VLLM_USE_DEEP_GEMM_E8M0
                value: '0'
              - name: VLLM_USE_NCCL_SYMM_MEM
                value: '1'
              - name: VLLM_AVOID_DP_SYNC
                value: '0'
              - name: VLLM_DECODE_STEP
                value: '1'
              - name: VLLM_MOE_DP_CHUNK_SIZE
                value: '64'
              - name: GLOO_SOCKET_IFNAME
                value: bond0
              - name: NCCL_SOCKET_IFNAME
                value: bond0
              - name: VLLM_NIXL_SIDE_CHANNEL_HOST
                value: $(POD_IP)
              - name: VLLM_NIXL_SIDE_CHANNEL_PORT
                value: '5557'
              - name: VLLM_ENABLE_MOE_DP_CHUNK
                value: '0'
              - name: UCX_NET_DEVICES
                value: >-
                  mlx5_0:1,mlx5_1:1,mlx5_2:1,mlx5_3:1,mlx5_4:1,mlx5_5:1,mlx5_6:1,mlx5_7:1

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extent analysis

Fix Plan

To address the issue of repeated bad cases and null tool call arguments, we need to modify the configuration and potentially the code. Here are the steps:

  • Modify Environment Variables: Ensure that the environment variables, especially those related to data parallelism, tensor parallelism, and tool call parsing, are correctly set. For example, VLLM_USE_NCCL_SYMM_MEM and VLLM_MOE_DP_CHUNK_SIZE should be reviewed.
  • Review Tool Call Parser: The minimax_m2 tool call parser might need adjustments to handle the function calls correctly, especially for get_time and get_weather. Verify that the parser can correctly identify and execute these functions with the provided arguments.
  • Adjust Data Parallel and Tensor Parallel Settings: The settings for data parallel size, tensor parallel size, and expert parallelism might need tuning. Ensure that these settings are optimal for the model and the hardware being used.
  • Verify Model and Input: Confirm that the MiniMax-M2.5 model is correctly served and that the input prompts are properly formatted to trigger the desired tool calls.

Example configuration adjustments:

--data-parallel-size 8 \
--tensor-parallel-size 1 \
--enable-expert-parallel \
--tool-call-parser minimax_m2 \
--reasoning-parser minimax_m2

And environment variable adjustments:

VLLM_USE_NCCL_SYMM_MEM=1 \
VLLM_MOE_DP_CHUNK_SIZE=64 \
VLLM_ENABLE_MOE_DP_CHUNK=0

Verification

To verify that the fix worked, run the model with the adjusted configuration and input prompts. Check the output for correct tool call executions and absence of repeated bad cases. Monitor the system logs for any errors related to data parallelism, tensor parallelism, or tool call parsing.

Extra Tips

  • Regularly update the model and dependencies to ensure compatibility and performance.
  • Monitor system resources and adjust parallelism settings accordingly to prevent overloading.
  • Test the model with various input prompts to ensure robustness and correctness of tool call executions.

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