vllm - 💡(How to fix) Fix [Bug]: openbmb/MiniCPM-o-2_6 fails at startup with `Expected all tensors to be on the same device, but found at least two devices`
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Error Message
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
Root Cause
vllm installed with uv pip install https://github.com/vllm-project/vllm/releases/download/v0.20.1/vllm-0.20.1+cu129-cp38-abi3-manylinux_2_31_x86_64.whl --torch-backend=cu129 because I'm on Almalinux 9 so there is no way to get CUDA 13 wheels on this OS.
Fix Action
Fix / Workaround
============================== CPU Info
Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 8 On-line CPU(s) list: 0-7 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) CPU @ 2.20GHz CPU family: 6 Model: 85 Thread(s) per core: 2 Core(s) per socket: 4 Socket(s): 1 Stepping: 7 BogoMIPS: 4400.41 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities Hypervisor vendor: KVM Virtualization type: full L1d cache: 128 KiB (4 instances) L1i cache: 128 KiB (4 instances) L2 cache: 4 MiB (4 instances) L3 cache: 38.5 MiB (1 instance) NUMA node(s): 1 NUMA node0 CPU(s): 0-7 Vulnerability Gather data sampling: Not affected Vulnerability Indirect target selection: Mitigation; Aligned branch/return thunks Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Mitigation; Enhanced IBRS 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 SW loop, KVM SW loop Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Vulnerability Vmscape: Not affected
Full log
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █ █ █▄ ▄█
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.20.1
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █▄█▀ █ █ █ █ model openbmb/MiniCPM-o-2_6
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:233] non-default args: {'model_tag': 'openbmb/MiniCPM-o-2_6', 'model': 'openbmb/MiniCPM-o-2_6', 'trust_remote_code': True, 'max_model_len': 16000}
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:555] Resolved architecture: MiniCPMO
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:1680] Using max model len 16000
(APIServer pid=63409) INFO 05-11 12:56:05 [vllm.py:840] Asynchronous scheduling is enabled.
(APIServer pid=63409) INFO 05-11 12:56:05 [kernel.py:205] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'])
(APIServer pid=63409) INFO 05-11 12:56:10 [nixl_utils.py:20] Setting UCX_RCACHE_MAX_UNRELEASED to '1024' to avoid a rare memory leak in UCX when using NIXL.
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:34] NIXL is not available
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:44] NIXL agent config is not available
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(APIServer pid=63409) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(APIServer pid=63409) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:56:41 [core.py:109] Initializing a V1 LLM engine (v0.20.1) with config: model='openbmb/MiniCPM-o-2_6', speculative_config=None, tokenizer='openbmb/MiniCPM-o-2_6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=16000, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=False, quantization=None, quantization_config=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=openbmb/MiniCPM-o-2_6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'ir_enable_torch_wrap': True, 'splitting_ops': ['vllm::unified_attention_with_output', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::gdn_attention_core_xpu', 'vllm::olmo_hybrid_gdn_full_forward', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer', 'vllm::deepseek_v4_attention', 'vllm::unified_kv_cache_update', 'vllm::unified_mla_kv_cache_update'], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_vision_items_per_batch': 0, 'encoder_cudagraph_max_frames_per_batch': None, 'compile_sizes': [], 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': False, 'scalar_asserts': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': False, 'static_all_moe_layers': []}, kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native']), enable_flashinfer_autotune=True, moe_backend='auto')
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:34] NIXL is not available
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:44] NIXL agent config is not available
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1402] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.142.0.47:39793 backend=nccl
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1715] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(EngineCore pid=63443) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(EngineCore pid=63443) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:57:05 [gpu_model_runner.py:4777] Starting to load model openbmb/MiniCPM-o-2_6...
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:368] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'].
(EngineCore pid=63443) INFO 05-11 12:57:08 [flash_attn.py:646] Using FlashAttention version 2
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.cudart module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.runtime module instead.
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.nvrtc module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.nvrtc module instead.
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:423] Using backend AttentionBackendEnum.FLASH_ATTN for vit attention
(EngineCore pid=63443) INFO 05-11 12:57:08 [mm_encoder_attention.py:230] Using AttentionBackendEnum.FLASH_ATTN for MMEncoderAttention.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:904] Filesystem type for checkpoints: XFS. Checkpoint size: 16.16 GiB. Available RAM: 23.73 GiB.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:927] Auto-prefetch is disabled because the filesystem (XFS) is not a recognized network FS (NFS/Lustre). If you want to force prefetching, start vLLM with --safetensors-load-strategy=prefetch.
Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:14<00:43, 14.34s/it]
Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:37<00:38, 19.46s/it]
Loading safetensors checkpoint shards: 75% Completed | 3/4 [00:57<00:19, 19.77s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.21s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.70s/it]
(EngineCore pid=63443)
(EngineCore pid=63443) INFO 05-11 12:58:20 [default_loader.py:384] Loading weights took 70.87 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:4879] Model loading took 15.77 GiB memory and 74.269668 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:5820] Encoder cache will be initialized with a budget of 2048 tokens, and profiled with 2 video items of the maximum feature size.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] EngineCore failed to start.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] Traceback (most recent call last):
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] super().__init__(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] self.model_runner.profile_run()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return forward_call(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ~~^~~~~~~~~~~
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
(EngineCore pid=63443) Process EngineCore:
(EngineCore pid=63443) Traceback (most recent call last):
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
(EngineCore pid=63443) self.run()
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run
(EngineCore pid=63443) self._target(*self._args, **self._kwargs)
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1140, in run_engine_core
(EngineCore pid=63443) raise e
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) super().__init__(
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) self.model_runner.profile_run()
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) return forward_call(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ~~^~~~~~~~~~~
(EngineCore pid=63443) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
[rank0]:[W511 12:58:23.880890992 ProcessGroupNCCL.cpp:1575] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
(APIServer pid=63409) Traceback (most recent call last):
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/bin/vllm", line 10, in <module>
(APIServer pid=63409) sys.exit(main())
(APIServer pid=63409) ^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/main.py", line 92, in main
(APIServer pid=63409) args.dispatch_function(args)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/serve.py", line 122, in cmd
(APIServer pid=63409) uvloop.run(run_server(args))
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 92, in run
(APIServer pid=63409) return runner.run(wrapper())
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/asyncio/runners.py", line 118, in run
(APIServer pid=63409) return self._loop.run_until_complete(task)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 48, in wrapper
(APIServer pid=63409) return await main
(APIServer pid=63409) ^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 678, in run_server
(APIServer pid=63409) await run_server_worker(listen_address, sock, args, **uvicorn_kwargs)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 692, in run_server_worker
(APIServer pid=63409) async with build_async_engine_client(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 100, in build_async_engine_client
(APIServer pid=63409) async with build_async_engine_client_from_engine_args(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 136, in build_async_engine_client_from_engine_args
(APIServer pid=63409) async_llm = AsyncLLM.from_vllm_config(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 217, in from_vllm_config
(APIServer pid=63409) return cls(
(APIServer pid=63409) ^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 146, in __init__
(APIServer pid=63409) self.engine_core = EngineCoreClient.make_async_mp_client(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 130, in make_async_mp_client
(APIServer pid=63409) return AsyncMPClient(*client_args)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 900, in __init__
(APIServer pid=63409) super().__init__(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 535, in __init__
(APIServer pid=63409) with launch_core_engines(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 144, in __exit__
(APIServer pid=63409) next(self.gen)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1119, in launch_core_engines
(APIServer pid=63409) wait_for_engine_startup(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1178, in wait_for_engine_startup
(APIServer pid=63409) raise RuntimeError(
(APIServer pid=63409) RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {}Code Example
Collecting environment information...
==============================
System Info
==============================
OS : AlmaLinux 9.6 (Sage Margay) (x86_64)
GCC version : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-5)
Clang version : Could not collect
CMake version : Could not collect
Libc version : glibc-2.34
==============================
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 : 3.11.15 (main, May 10 2026, 19:28:18) [Clang 22.1.3 ] (64-bit runtime)
Python platform : Linux-5.14.0-611.54.1.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
Nvidia driver version : 575.57.08
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, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) CPU @ 2.20GHz
CPU family: 6
Model: 85
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
Stepping: 7
BogoMIPS: 4400.41
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 128 KiB (4 instances)
L1i cache: 128 KiB (4 instances)
L2 cache: 4 MiB (4 instances)
L3 cache: 38.5 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-7
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: Mitigation; Aligned branch/return thunks
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; Enhanced IBRS
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 SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsa: Not affected
Vulnerability Tsx async abort: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Vmscape: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.8.post1
[pip3] numpy==2.3.5
[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==4.5.0
[pip3] nvidia-cutlass-dsl-libs-base==4.5.0
[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] 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==5.8.0
[pip3] triton==3.6.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.20.1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
GPU0 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X 0-7 0 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_tristan.leclercq
---
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
---
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █ █ █▄ ▄█
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.20.1
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █▄█▀ █ █ █ █ model openbmb/MiniCPM-o-2_6
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:233] non-default args: {'model_tag': 'openbmb/MiniCPM-o-2_6', 'model': 'openbmb/MiniCPM-o-2_6', 'trust_remote_code': True, 'max_model_len': 16000}
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:555] Resolved architecture: MiniCPMO
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:1680] Using max model len 16000
(APIServer pid=63409) INFO 05-11 12:56:05 [vllm.py:840] Asynchronous scheduling is enabled.
(APIServer pid=63409) INFO 05-11 12:56:05 [kernel.py:205] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'])
(APIServer pid=63409) INFO 05-11 12:56:10 [nixl_utils.py:20] Setting UCX_RCACHE_MAX_UNRELEASED to '1024' to avoid a rare memory leak in UCX when using NIXL.
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:34] NIXL is not available
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:44] NIXL agent config is not available
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(APIServer pid=63409) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(APIServer pid=63409) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:56:41 [core.py:109] Initializing a V1 LLM engine (v0.20.1) with config: model='openbmb/MiniCPM-o-2_6', speculative_config=None, tokenizer='openbmb/MiniCPM-o-2_6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=16000, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=False, quantization=None, quantization_config=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=openbmb/MiniCPM-o-2_6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'ir_enable_torch_wrap': True, 'splitting_ops': ['vllm::unified_attention_with_output', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::gdn_attention_core_xpu', 'vllm::olmo_hybrid_gdn_full_forward', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer', 'vllm::deepseek_v4_attention', 'vllm::unified_kv_cache_update', 'vllm::unified_mla_kv_cache_update'], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_vision_items_per_batch': 0, 'encoder_cudagraph_max_frames_per_batch': None, 'compile_sizes': [], 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': False, 'scalar_asserts': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': False, 'static_all_moe_layers': []}, kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native']), enable_flashinfer_autotune=True, moe_backend='auto')
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:34] NIXL is not available
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:44] NIXL agent config is not available
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1402] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.142.0.47:39793 backend=nccl
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1715] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(EngineCore pid=63443) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(EngineCore pid=63443) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:57:05 [gpu_model_runner.py:4777] Starting to load model openbmb/MiniCPM-o-2_6...
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:368] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'].
(EngineCore pid=63443) INFO 05-11 12:57:08 [flash_attn.py:646] Using FlashAttention version 2
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.cudart module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.runtime module instead.
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.nvrtc module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.nvrtc module instead.
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:423] Using backend AttentionBackendEnum.FLASH_ATTN for vit attention
(EngineCore pid=63443) INFO 05-11 12:57:08 [mm_encoder_attention.py:230] Using AttentionBackendEnum.FLASH_ATTN for MMEncoderAttention.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:904] Filesystem type for checkpoints: XFS. Checkpoint size: 16.16 GiB. Available RAM: 23.73 GiB.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:927] Auto-prefetch is disabled because the filesystem (XFS) is not a recognized network FS (NFS/Lustre). If you want to force prefetching, start vLLM with --safetensors-load-strategy=prefetch.
Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:14<00:43, 14.34s/it]
Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:37<00:38, 19.46s/it]
Loading safetensors checkpoint shards: 75% Completed | 3/4 [00:57<00:19, 19.77s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.21s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.70s/it]
(EngineCore pid=63443)
(EngineCore pid=63443) INFO 05-11 12:58:20 [default_loader.py:384] Loading weights took 70.87 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:4879] Model loading took 15.77 GiB memory and 74.269668 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:5820] Encoder cache will be initialized with a budget of 2048 tokens, and profiled with 2 video items of the maximum feature size.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] EngineCore failed to start.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] Traceback (most recent call last):
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] super().__init__(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] self.model_runner.profile_run()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return forward_call(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ~~^~~~~~~~~~~
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
(EngineCore pid=63443) Process EngineCore:
(EngineCore pid=63443) Traceback (most recent call last):
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
(EngineCore pid=63443) self.run()
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run
(EngineCore pid=63443) self._target(*self._args, **self._kwargs)
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1140, in run_engine_core
(EngineCore pid=63443) raise e
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) super().__init__(
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) self.model_runner.profile_run()
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) return forward_call(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ~~^~~~~~~~~~~
(EngineCore pid=63443) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
[rank0]:[W511 12:58:23.880890992 ProcessGroupNCCL.cpp:1575] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
(APIServer pid=63409) Traceback (most recent call last):
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/bin/vllm", line 10, in <module>
(APIServer pid=63409) sys.exit(main())
(APIServer pid=63409) ^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/main.py", line 92, in main
(APIServer pid=63409) args.dispatch_function(args)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/serve.py", line 122, in cmd
(APIServer pid=63409) uvloop.run(run_server(args))
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 92, in run
(APIServer pid=63409) return runner.run(wrapper())
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/asyncio/runners.py", line 118, in run
(APIServer pid=63409) return self._loop.run_until_complete(task)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 48, in wrapper
(APIServer pid=63409) return await main
(APIServer pid=63409) ^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 678, in run_server
(APIServer pid=63409) await run_server_worker(listen_address, sock, args, **uvicorn_kwargs)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 692, in run_server_worker
(APIServer pid=63409) async with build_async_engine_client(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 100, in build_async_engine_client
(APIServer pid=63409) async with build_async_engine_client_from_engine_args(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 136, in build_async_engine_client_from_engine_args
(APIServer pid=63409) async_llm = AsyncLLM.from_vllm_config(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 217, in from_vllm_config
(APIServer pid=63409) return cls(
(APIServer pid=63409) ^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 146, in __init__
(APIServer pid=63409) self.engine_core = EngineCoreClient.make_async_mp_client(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 130, in make_async_mp_client
(APIServer pid=63409) return AsyncMPClient(*client_args)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 900, in __init__
(APIServer pid=63409) super().__init__(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 535, in __init__
(APIServer pid=63409) with launch_core_engines(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 144, in __exit__
(APIServer pid=63409) next(self.gen)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1119, in launch_core_engines
(APIServer pid=63409) wait_for_engine_startup(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1178, in wait_for_engine_startup
(APIServer pid=63409) raise RuntimeError(
(APIServer pid=63409) RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {}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 : AlmaLinux 9.6 (Sage Margay) (x86_64)
GCC version : (GCC) 11.5.0 20240719 (Red Hat 11.5.0-5)
Clang version : Could not collect
CMake version : Could not collect
Libc version : glibc-2.34
==============================
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 : 3.11.15 (main, May 10 2026, 19:28:18) [Clang 22.1.3 ] (64-bit runtime)
Python platform : Linux-5.14.0-611.54.1.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
Nvidia driver version : 575.57.08
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, 48 bits virtual
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) CPU @ 2.20GHz
CPU family: 6
Model: 85
Thread(s) per core: 2
Core(s) per socket: 4
Socket(s): 1
Stepping: 7
BogoMIPS: 4400.41
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat avx512_vnni md_clear arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 128 KiB (4 instances)
L1i cache: 128 KiB (4 instances)
L2 cache: 4 MiB (4 instances)
L3 cache: 38.5 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-7
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: Mitigation; Aligned branch/return thunks
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Mitigation; Enhanced IBRS
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 SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsa: Not affected
Vulnerability Tsx async abort: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Vmscape: Not affected
==============================
Versions of relevant libraries
==============================
[pip3] flashinfer-python==0.6.8.post1
[pip3] numpy==2.3.5
[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==4.5.0
[pip3] nvidia-cutlass-dsl-libs-base==4.5.0
[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] 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==5.8.0
[pip3] triton==3.6.0
[conda] Could not collect
==============================
vLLM Info
==============================
ROCM Version : Could not collect
vLLM Version : 0.20.1
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; XPU: Disabled
GPU Topology:
GPU0 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X 0-7 0 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_tristan.leclercq🐛 Describe the bug
vllm installed with uv pip install https://github.com/vllm-project/vllm/releases/download/v0.20.1/vllm-0.20.1+cu129-cp38-abi3-manylinux_2_31_x86_64.whl --torch-backend=cu129 because I'm on Almalinux 9 so there is no way to get CUDA 13 wheels on this OS.
Running vllm serve openbmb/MiniCPM-o-2_6 --trust-remote-code --max-model-len=16000 fails with
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!Full log
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █ █ █▄ ▄█
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.20.1
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] █▄█▀ █ █ █ █ model openbmb/MiniCPM-o-2_6
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:299]
(APIServer pid=63409) INFO 05-11 12:56:04 [utils.py:233] non-default args: {'model_tag': 'openbmb/MiniCPM-o-2_6', 'model': 'openbmb/MiniCPM-o-2_6', 'trust_remote_code': True, 'max_model_len': 16000}
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:555] Resolved architecture: MiniCPMO
(APIServer pid=63409) INFO 05-11 12:56:05 [model.py:1680] Using max model len 16000
(APIServer pid=63409) INFO 05-11 12:56:05 [vllm.py:840] Asynchronous scheduling is enabled.
(APIServer pid=63409) INFO 05-11 12:56:05 [kernel.py:205] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'])
(APIServer pid=63409) INFO 05-11 12:56:10 [nixl_utils.py:20] Setting UCX_RCACHE_MAX_UNRELEASED to '1024' to avoid a rare memory leak in UCX when using NIXL.
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:34] NIXL is not available
(APIServer pid=63409) WARNING 05-11 12:56:10 [nixl_utils.py:44] NIXL agent config is not available
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(APIServer pid=63409) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(APIServer pid=63409) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(APIServer pid=63409) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:56:41 [core.py:109] Initializing a V1 LLM engine (v0.20.1) with config: model='openbmb/MiniCPM-o-2_6', speculative_config=None, tokenizer='openbmb/MiniCPM-o-2_6', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=16000, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=False, quantization=None, quantization_config=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=openbmb/MiniCPM-o-2_6, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': <CompilationMode.VLLM_COMPILE: 3>, 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'ir_enable_torch_wrap': True, 'splitting_ops': ['vllm::unified_attention_with_output', 'vllm::unified_mla_attention_with_output', 'vllm::mamba_mixer2', 'vllm::mamba_mixer', 'vllm::short_conv', 'vllm::linear_attention', 'vllm::plamo2_mamba_mixer', 'vllm::gdn_attention_core', 'vllm::gdn_attention_core_xpu', 'vllm::olmo_hybrid_gdn_full_forward', 'vllm::kda_attention', 'vllm::sparse_attn_indexer', 'vllm::rocm_aiter_sparse_attn_indexer', 'vllm::deepseek_v4_attention', 'vllm::unified_kv_cache_update', 'vllm::unified_mla_kv_cache_update'], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_vision_items_per_batch': 0, 'encoder_cudagraph_max_frames_per_batch': None, 'compile_sizes': [], 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': False, 'scalar_asserts': False, 'combo_kernels': True, 'benchmark_combo_kernel': True}, 'inductor_passes': {}, 'cudagraph_mode': <CUDAGraphMode.FULL_AND_PIECEWISE: (2, 1)>, 'cudagraph_num_of_warmups': 1, 'cudagraph_capture_sizes': [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 272, 288, 304, 320, 336, 352, 368, 384, 400, 416, 432, 448, 464, 480, 496, 512], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': 512, 'dynamic_shapes_config': {'type': <DynamicShapesType.BACKED: 'backed'>, 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': False, 'static_all_moe_layers': []}, kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native']), enable_flashinfer_autotune=True, moe_backend='auto')
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:34] NIXL is not available
(EngineCore pid=63443) WARNING 05-11 12:56:42 [nixl_utils.py:44] NIXL agent config is not available
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1402] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.142.0.47:39793 backend=nccl
(EngineCore pid=63443) INFO 05-11 12:56:44 [parallel_state.py:1715] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `image_processor_class = 'AutoImageProcessor'`, which is deprecated. Register the correct mapping in `AutoImageProcessor` instead.
(EngineCore pid=63443) [transformers] Requested torchvision backend is not available. Falling back to pil backend.
(EngineCore pid=63443) [transformers] `MiniCPMOProcessor` defines `feature_extractor_class = 'WhisperFeatureExtractor'`, which is deprecated. Register the correct mapping in `AutoFeatureExtractor` instead.
(EngineCore pid=63443) [transformers] Image processor MiniCPMVImageProcessor: kwargs ['max_slice_nums'] were applied for backward compatibility. To avoid this warning, add them to valid_kwargs: create a custom TypedDict extending ImagesKwargs with these keys and set it as the `valid_kwargs` class attribute.
(EngineCore pid=63443) INFO 05-11 12:57:05 [gpu_model_runner.py:4777] Starting to load model openbmb/MiniCPM-o-2_6...
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:368] Using FLASH_ATTN attention backend out of potential backends: ['FLASH_ATTN', 'FLASHINFER', 'TRITON_ATTN', 'FLEX_ATTENTION'].
(EngineCore pid=63443) INFO 05-11 12:57:08 [flash_attn.py:646] Using FlashAttention version 2
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.cudart module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.runtime module instead.
(EngineCore pid=63443) <frozen importlib._bootstrap_external>:1241: FutureWarning: The cuda.nvrtc module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.nvrtc module instead.
(EngineCore pid=63443) INFO 05-11 12:57:08 [cuda.py:423] Using backend AttentionBackendEnum.FLASH_ATTN for vit attention
(EngineCore pid=63443) INFO 05-11 12:57:08 [mm_encoder_attention.py:230] Using AttentionBackendEnum.FLASH_ATTN for MMEncoderAttention.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:904] Filesystem type for checkpoints: XFS. Checkpoint size: 16.16 GiB. Available RAM: 23.73 GiB.
(EngineCore pid=63443) INFO 05-11 12:57:09 [weight_utils.py:927] Auto-prefetch is disabled because the filesystem (XFS) is not a recognized network FS (NFS/Lustre). If you want to force prefetching, start vLLM with --safetensors-load-strategy=prefetch.
Loading safetensors checkpoint shards: 0% Completed | 0/4 [00:00<?, ?it/s]
Loading safetensors checkpoint shards: 25% Completed | 1/4 [00:14<00:43, 14.34s/it]
Loading safetensors checkpoint shards: 50% Completed | 2/4 [00:37<00:38, 19.46s/it]
Loading safetensors checkpoint shards: 75% Completed | 3/4 [00:57<00:19, 19.77s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.21s/it]
Loading safetensors checkpoint shards: 100% Completed | 4/4 [01:10<00:00, 17.70s/it]
(EngineCore pid=63443)
(EngineCore pid=63443) INFO 05-11 12:58:20 [default_loader.py:384] Loading weights took 70.87 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:4879] Model loading took 15.77 GiB memory and 74.269668 seconds
(EngineCore pid=63443) INFO 05-11 12:58:21 [gpu_model_runner.py:5820] Encoder cache will be initialized with a budget of 2048 tokens, and profiled with 2 video items of the maximum feature size.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] EngineCore failed to start.
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] Traceback (most recent call last):
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] super().__init__(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return func(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] self.model_runner.profile_run()
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] return forward_call(*args, **kwargs)
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] ~~^~~~~~~~~~~
(EngineCore pid=63443) ERROR 05-11 12:58:22 [core.py:1136] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
(EngineCore pid=63443) Process EngineCore:
(EngineCore pid=63443) Traceback (most recent call last):
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
(EngineCore pid=63443) self.run()
(EngineCore pid=63443) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/multiprocessing/process.py", line 108, in run
(EngineCore pid=63443) self._target(*self._args, **self._kwargs)
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1140, in run_engine_core
(EngineCore pid=63443) raise e
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 1110, in run_engine_core
(EngineCore pid=63443) engine_core = EngineCoreProc(*args, engine_index=dp_rank, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 876, in __init__
(EngineCore pid=63443) super().__init__(
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 128, in __init__
(EngineCore pid=63443) kv_cache_config = self._initialize_kv_caches(vllm_config)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core.py", line 250, in _initialize_kv_caches
(EngineCore pid=63443) available_gpu_memory = self.model_executor.determine_available_memory()
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/abstract.py", line 147, in determine_available_memory
(EngineCore pid=63443) return self.collective_rpc("determine_available_memory")
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/executor/uniproc_executor.py", line 80, in collective_rpc
(EngineCore pid=63443) result = run_method(self.driver_worker, method, args, kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/serial_utils.py", line 510, in run_method
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
(EngineCore pid=63443) return func(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_worker.py", line 370, in determine_available_memory
(EngineCore pid=63443) self.model_runner.profile_run()
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/worker/gpu_model_runner.py", line 5836, in profile_run
(EngineCore pid=63443) dummy_encoder_outputs = self.model.embed_multimodal(
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1153, in embed_multimodal
(EngineCore pid=63443) return self._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmo.py", line 804, in _process_multimodal_inputs
(EngineCore pid=63443) multimodal_embeddings = super()._process_multimodal_inputs(modalities)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1143, in _process_multimodal_inputs
(EngineCore pid=63443) video_embeddings = self._process_vision_input(video_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1124, in _process_vision_input
(EngineCore pid=63443) image_features_flat = self.get_vision_hidden_states(image_input)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 1493, in get_vision_hidden_states
(EngineCore pid=63443) return self.resampler(vision_embedding, tgt_sizes)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
(EngineCore pid=63443) return self._call_impl(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
(EngineCore pid=63443) return forward_call(*args, **kwargs)
(EngineCore pid=63443) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(EngineCore pid=63443) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/model_executor/models/minicpmv.py", line 233, in forward
(EngineCore pid=63443) x + pos_embed, # L * B * D + L * B * D
(EngineCore pid=63443) ~~^~~~~~~~~~~
(EngineCore pid=63443) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
[rank0]:[W511 12:58:23.880890992 ProcessGroupNCCL.cpp:1575] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())
(APIServer pid=63409) Traceback (most recent call last):
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/bin/vllm", line 10, in <module>
(APIServer pid=63409) sys.exit(main())
(APIServer pid=63409) ^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/main.py", line 92, in main
(APIServer pid=63409) args.dispatch_function(args)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/cli/serve.py", line 122, in cmd
(APIServer pid=63409) uvloop.run(run_server(args))
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 92, in run
(APIServer pid=63409) return runner.run(wrapper())
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/asyncio/runners.py", line 118, in run
(APIServer pid=63409) return self._loop.run_until_complete(task)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/uvloop/__init__.py", line 48, in wrapper
(APIServer pid=63409) return await main
(APIServer pid=63409) ^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 678, in run_server
(APIServer pid=63409) await run_server_worker(listen_address, sock, args, **uvicorn_kwargs)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 692, in run_server_worker
(APIServer pid=63409) async with build_async_engine_client(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 100, in build_async_engine_client
(APIServer pid=63409) async with build_async_engine_client_from_engine_args(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 210, in __aenter__
(APIServer pid=63409) return await anext(self.gen)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/entrypoints/openai/api_server.py", line 136, in build_async_engine_client_from_engine_args
(APIServer pid=63409) async_llm = AsyncLLM.from_vllm_config(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 217, in from_vllm_config
(APIServer pid=63409) return cls(
(APIServer pid=63409) ^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/async_llm.py", line 146, in __init__
(APIServer pid=63409) self.engine_core = EngineCoreClient.make_async_mp_client(
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 130, in make_async_mp_client
(APIServer pid=63409) return AsyncMPClient(*client_args)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/tracing/otel.py", line 178, in sync_wrapper
(APIServer pid=63409) return func(*args, **kwargs)
(APIServer pid=63409) ^^^^^^^^^^^^^^^^^^^^^
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 900, in __init__
(APIServer pid=63409) super().__init__(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/core_client.py", line 535, in __init__
(APIServer pid=63409) with launch_core_engines(
(APIServer pid=63409) File "/home/tristan.leclercq/.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/contextlib.py", line 144, in __exit__
(APIServer pid=63409) next(self.gen)
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1119, in launch_core_engines
(APIServer pid=63409) wait_for_engine_startup(
(APIServer pid=63409) File "/home/tristan.leclercq/vllm-test/vllm-venv/lib/python3.11/site-packages/vllm/v1/engine/utils.py", line 1178, in wait_for_engine_startup
(APIServer pid=63409) raise RuntimeError(
(APIServer pid=63409) RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {}Before submitting a new issue...
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×6Another batch ranked right after the header list — different links, same matching logic.
TRENDING
- Feature Request: Configurable per-minute rate limiting (RPM) for models to prevent 429 errors
- Android: Hermes App + Termux install share ~/.hermes and cause silent permission loops
- hermes update emits unicode-animations ANSI demo in non-interactive logs
- hermes update downgrades aiohttp from 3.13.4 to 3.13.3
- npm install warns about deprecated @babel/plugin-proposal-private-methods
- DingTalk inbound media URLs are skipped as unreadable native image paths
- fix(dashboard): ChatPage clears header action buttons on ALL pages, not just Sessions
- [Bug]: check_web_api_key() hardcodes built-in backends — third-party web search plugins silently disabled
- Hermes Web UI 修复经验：GatewayManager 补丁、进程 D 状态、数据库升级问题
- Telegram gateway can silently drop turn after /stop with response=0 chars while internal work continues
- Bug Report: v0.14.0 上下文污染 — 历史回复碎片回注到新请求
- Bug: hermes skills search table truncates Identifier column — install fails with copied value
- [skills-index-watchdog] Skills index is stale or degraded (degraded)
- Discord approval embed not rendering on web/mobile — embed data present in API but invisible
- Idea: Discord voice-channel participation / opt-in auto-join mode
- [Feature]: Claude Code--ultrawork
- build-arm64 job deterministically fails on cold cache (Azure SAS token expires mid-build)
- [Enhancement] computer_use: action=type should fall back to key events for terminal emulators (Ghostty/Terminal.app/iTerm2)
- Feature Request: Session Recovery on Temporary Provider Outage
- [Bug]: Hermes dashboard not working on NixOS (container)
- [Feature]: Add option to ignore @all/@everyone mentions in Feishu group chats
- QQ Bot WebSocket 频繁断开：长时间工具执行阻塞 asyncio 事件循环导致心跳超时
- patch tool: new_string escape sequences (\t) get written literally
- Feature Request: i18n / 多语言支持（国际化）
- Bug: web_crawl schema lets models auto-guess "instructions" instead of asking the user via clarify
- feat: `!command` prefix for direct shell execution (like Claude Code)
- Expose currently-running cron jobs via /api/jobs (or new endpoint)
- [Bug]: Kanban parent-child handoff: scratch workspace GC destroys artifacts before child can read them
- [Bug, Windows] hermes gateway restart loses session context — planned_stop_marker not written before SIGTERM
- [Bug]: Codex→DeepSeek fallback sends assistant turns without reasoning_content → HTTP 400 (require-side cross-provider failover)
- [Bug]: Update got stuck half way, reboot it, then ModuleNotFoundError: No module named 'hermes_cli'
- Kanban dispatcher corrupt-board handling and multi-profile gateway ownership ambiguity
- Gateway can resend a short fallback message when the real final Telegram response was already delivered
- [BUG] Bedrock: Fix 'Invalid API Key format' for presigned URL tokens
- Secret redaction corrupts code syntax in tool output (write_file, execute_code, terminal)
- Unable to connect Ollama Cloud with Pro Subscription to Hermes
- feat: fuzzy substring matching for /skill autocomplete
- PRD: Autonomous market-impact prediction briefing system
- Kanban dashboard should support task/card deep links
- [Feature] Native Feishu CardKit Streaming: consolidate best-in-class implementations
- [Feature]: Inject mental model into context when using Hindsight
- Interactive CLI hides tool output despite display.tool_progress=all, and hermes chat -v does not restore it
- fix(api_server): _handle_responses drops text.format JSON schema — structured output constraints silently ignored
- state.db FTS corruption goes undetected — no integrity check, no repair path
- bug: fallback routing can select text-only models for image requests and hide the primary failure
- feat(kanban): persist worker session_id per run and pass --resume on respawn after unblock
- feat(kanban): support GitHub/OMO lifecycle bridge for Xiyou-style automation
- Expose update-safe TUI/composer hooks for voice transcript and composer events
- Hide or configure voice transcript status rows in editable dictation mode
- [Feature]: Per-Tool / Per-Toolset Approval Policies
- Context compression creates orphan sessions missing from state.db
- messaging platform
- feat: Add read-only / silent monitoring mode for WhatsApp adapter
- double-.hermes path mismatch, the HOME env var leak, and the fallback-notification UX problem
- Bug: Plattform-Bundle name `hermes-yuanbao` in `agent.disabled_toolsets` silently kills ALL tools in gateway path (Telegram + cron), CLI unaffected
- CLI /yolo (in-chat) does not bypass dangerous command approvals — env var freeze + missing enable_session_yolo call
- OpenAI Codex provider crashes with "'NoneType' object is not iterable" (HTTP None)
- DEEPSEEK_API_KEY blocked by env blocklist in gateway process — cron jobs fail with deepseek provider
- fix(feishu): Card action callback routing issues - invalid message_id and unrecognized /card command
- Discord plugin: profiles without explicit `discord:` block silently get `require_mention=true` + `auto_thread=true` (regression in cc8e5ec2a)
- [Bug]: DISCORD_ALLOWED_ROLES ignored by gateway _is_user_authorized — role-authorized users get 'Unauthorized user' rejection
- [Bug]: /new, /clear, and /reset commands freeze the terminal session
- openai-codex subscription backend returns HTTP 200 with response.output=None, causing Slack/cron failures
- RFC: Centralized Model/Provider Registry
- bug: openai-codex provider — TypeError: 'NoneType' object is not iterable on every request (gpt-5.5)
- [Feature]: Source-aware instruction gate — architectural mitigation for indirect prompt injection
- Named custom provider stale_timeout_seconds ignored because runtime provider is normalized to `custom`
- guard test (ignore)
- [Feature]: per-platform LLM request_overrides (extra_body / reasoning_effort / service_tier)
- One-shot smoke: add Flue-backed orchestration fixture
- Gateway should not treat stale Codex app-server progress as final response after post-tool silence
- `docker_run_as_host_user: true` breaks bundled skills: Hermes home is mounted into `/root/.hermes` but the container runs as a non-root user (`HOME=/home/pn`)
- [Bug]: gateway api_server streaming bypasses server-side tool-call loop when chat_template_kwargs.enable_thinking=false (model emits tool name as plain text)
- [Feature]: Pre-install python-telegram-bot in Umbrel Hermes Docker image
- YouTube Shorts filter not working in youtube-content skill
- v0.15.0 PyPI release breaks ALL platforms — plugin.yaml manifests missing from package
- RFC: On-demand tool/skill/MCP discovery — decouple schema registration from process lifecycle
- Pixshelf: local-first stock photo workflow command center
- [Bug]: baoyu infographic skill should not silently bypass image_generate
- Pixshelf v1.5: manual submission tracking for stock agencies
- `hermes config set` silently accepts unknown keys, writing them where the runtime never reads
- Honcho memory prefetch hang on fresh CLI subprocess in v0.15.0 (regression from #27190)
- [Bug] v0.15.0 Docker image: stage2-hook.sh, main-wrapper.sh missing; container_boot module removed
- Feature: Reduce cache-read token overhead for DeepSeek providers — configurable cache_ttl, skills snapshot trimming, memory compaction
- Windows: three bugs from daily use (plugin discovery, gateway exit code, Unicode decode
- holographic memory: HRR silently degrades to FTS5 when numpy is missing
- Make max_tokens configurable for aux vision calls
- Conversation compression desynchronizes session ID between agent context and gateway routing, causing silent message loss
- [Bug]: v0.15.0 Docker image:The TUI cannot be used in the dashboard.
- cron: skip_memory=True blocks fact_store/memory tools from all cron jobs
- TUI: Node.js OOM crash when agent uses browser tools repeatedly
- feat: model_profiles — per-model toolset and memory config
- Automatic background skill patching disrupts active sessions (severe impact on local models)
- ensure_hermes_home() creates root-owned dirs in profile subdirectories when kanban workers are dispatched
- Feature: opt-in webhook bypass for DISCORD_ALLOW_BOTS — allow operator-initiated probes without weakening bot-loop guard
- v0.15.0: Codex requests fail HTTP 400 when participant display_name contains non-ASCII (emoji breaks input[].name pattern)
- Architecture: State Persistence Precedence (Memory vs Skills vs Hooks)
- [Bug]: cronjob tool: create action always fails with "schedule is required for create" even when parameters are provided
- codex-oauth: 'NoneType' object is not iterable in _run_codex_stream (gpt-5.5) — every turn fails non-retryably
- Docs/Config: Plugin local scope enablement ambiguity
- [Bug]: CLI freezes after using /new command (WSL)
- Profile Codex auth can ignore global credential pool when local state is stale
- [workflow-engine] CRITICAL: variable substitution crashes on regex metachars in user input
- [workflow-engine] HIGH: loop and bash nodes leak subprocesses on timeout
- [workflow-engine] HIGH: README documents config env vars the engine never reads
- [workflow-engine] MEDIUM: workflow_run rate limit bypassable via concurrent calls (TOCTOU)
- [workflow-engine] chore: manifest gaps, side-effectful register(), dead code, unauth kanban dispatch
- [mcp_lazy] HIGH: synthetic mcp_server_<name> stub collides with a real MCP server named 'server'
- [mcp_lazy] HIGH: promote_server eager flag documented but never persisted
- [mcp_lazy] MEDIUM: _prev_mode dict leaks and goes stale; not cleared on session evict
- [mcp_lazy] MEDIUM: get_pool has unlocked check-then-set race on pool creation
- [mcp_lazy] MEDIUM: pre_tool_call gives no guidance for unpromoted server-stub calls
- [mcp_lazy] chore: undeclared pre_tool_call hook, nonexistent 'mcp_load_tools' name in docs, missing tests
- [a2a_fleet] CRITICAL: server never auto-starts — register() runs outside an event loop
- [a2a_fleet] CRITICAL: auth_required defaults to false on a cross-machine surface
- [a2a_fleet] HIGH: remove invented disable() hook — loader never calls it, port leaks on reload
- [a2a_fleet] HIGH: plugin.yaml missing kind / provides_tools / requires_env (token env undeclared)
- [a2a_fleet] MEDIUM: tighten wide-open CORS, anonymous /health peer leak, and peer-URL SSRF
- [a2a_fleet] MEDIUM: relocate tests to tests/plugins/ and cover sync-register + auth-default paths
- xai-oauth auxiliary client incorrectly uses Responses API (CodexAuxiliaryClient), causing 403 on compression/vision/web_extract
- [Bug]: Direct Copilot gpt-5.5 large resumes are killed by 12s Codex TTFB watchdog
- [Bug]: `hermes uninstall` does not work on Windows
- TUI: Thinking block leaks raw JSON and Σ character
- Hostinger VPS: migration Hermes Agent → Hermes WebUI impossible (tini + UID mismatch + sessions)
- /goal judge over-continues exploratory goals unless the assistant explicitly says the goal is complete
- /goal auto-continuation can be amplified by preflight compression/session split and resurrect stale task state
- Dashboard infinite reload loop in loopback mode — GET /api/auth/me returns 401 on every page load
- [Bug]: Provider/LLM switch leaves stale encrypted_content causing 400 errors on Telegram sessions
- [Bug]: Infinite reload loop / React state loop on Sessions tab (Firefox + Chrome) — repeated 401 on /api/auth/me (v0.15.0)
- show_reasoning should work independently of streaming in CLI mode
- Feature Request: Strip reasoning/<think> blocks from TTS preprocessing
- mcp add / mcp test raise NameError when mcp package not installed
- v0.14.0 dashboard breaks behind reverse proxies — two regressions
- Skills hub creates empty category directories when no skills installed
- [Bug]: Custom endpoint: ChatCompletions returns content, but Hermes treats response as empty (v0.14.0)
- fix: atomic_replace() fails with EXDEV when HERMES_HOME is a cross-filesystem symlink
- fix(gateway): Feishu session cancellation orphans session guard, permanently blocking messages
- Custom endpoint pricing can overestimate Crof qwen3.5-9b cost by 1,000,000x
- MCP OAuth callback: module-level port global causes port collisions and structural weaknesses vs upstream
- Bug: send_message tool bypasses validate_media_delivery_path security check
- Proposal: Add Mnemosyne to official memory provider documentation
- feat(swarm): support custom verifier/synthesizer body + skills
- Template conversion failed
- Error occurred in the operation of the agent node in the workflow.
- PubSub client overrides Sentinel client when REDIS_USE_SENTINEL is enabled
- Frontend description of the Retrieval node output does not match the actual output
- JSON type input var raise Intenal server error
- cannot extract elements from a scalar
- 负载均衡 为模型配置多组凭据，并自动调用，此功能无法选择
- add models is error
- panic: could not create filter
- Persist partially generated messages when /chat-messages/:task_id/stop is called
- MCP server connection fails with 403 — request never leaves Dify (SSRF proxy suspected)
- Support durable async execution backends for long-running workflow steps
- [Xiaomi MiMo] Credentials validation fails with 400 "Not supported model mimo-v2-flash" when using Token Plan endpoint (v0.0.7)
- After clicking preview on a parent-child segmented knowledge base, it shows 0 chunks
- Retrieval score differs between UI upload (.docx) and API upload (.txt) despite identical chunk content and embedding model
- gemini cli crash again
- Xbox gift card code damage
- Damage caused by the gemini cli crash
- ioctl(2) failed, EBADF (Bad File Descriptor)
- Feat: Support Bun as an alternative runtime/package manager for updates and extensions
- fatal error again!!!!
- ioctl error
- Critical Crash: ioctl(2) failed, EBADF in ShellExecutionService.resizePty
- ioctl(2) failed, EBADF
- v0.44.0 Regression: Critical crash with ioctl(2) failed, EBADF during PTY resize
- Crash on startup: ioctl(2) failed, EBADF in UnixTerminal.resize
- Crash: `ioctl(2) failed, EBADF` in `node-pty` during PTY resize on macOS
- Gemini CLI crashes with `ioctl(2) failed, EBADF` in `node-pty` during `resizePty`
- Remote Role
- ERROR ioctl(2) failed, EBADF /home/mich
- RangeError: Maximum call stack size exceeded
- EBADF Error during folder creationg broke session and terminal glitches
- MAIP / Gargoub Project - Mediterania - North Coast
- Gemini cli crash again in this morning
- ERROR ioctl(2) failed, EBADF
- Verified node install fails — Checksum verification failed (Cloud)
- The extended debugging key did not arrive during registration.
- CollaborationPane unmounts collaboration store on single-user instances, causing permanent "No network connection" state
- Workflow cannot be saved when the name contains "->" (Potentially malicious string)
- automation does not work and does not show an error
- Raj Ai Automation
- Default Data Loader: DOMMatrix is not defined error
- Feature: Per-node execution timestamp overlay on canvas during workflow run
- AI Agent + Vertex `gemini-3.5-flash`: 400 "missing thought_signature" on sequential multi-turn tool calls (post-#24982)
- PDF Loader in Pinecone Vector Store fails due to pdf-parse version conflict (v2 not supported)
- emailReadImap: add UID deduplication, batch size cap, and numeric uid enforcement
- Manual node execution fails with "Could not find a node" when autosave is disabled (N8N_WORKFLOWS_AUTOSAVE_DISABLED)
- Schedule Trigger stopped firing — workflow Published & active, manual executions succeed, no automated fires for 2+ hours
- [MCP SDK] create_workflow_from_code intermittently returns HTTP 500, often as a false negative (workflow persists anyway, causing duplicates on retry)
- Credential-load wedge: workflows using googleApi/jwtAuth credentials silently fail to execute after key rotation
- Google Sheets Trigger every minute is not working manual Execute is working sent email
- [BUG] Plugin marketplace MCP connector remains stuck "still connecting" when mcp-remote requires OAuth
- [redacted at user request]
- Opus 4.7 behavioral regression: loaded instruction-following discipline degraded in recent Claude Code/Cowork updates
- [BUG] Tailscale via Homebrew CLI + Mac App Store GUI, both Macs on macOS, Cowork blocked by VPN detector despite Tailscale being a mesh VPN with no traffic interception
- stopShellPty on tab switch kills active sessions (exit 143) — regression in May 27 build
- [BUG] Long URLs are broken into multiple lines and become unclickable in terminal output
- [BUG] claude rm/stop/reap SIGKILLs background session tree without SIGTERM grace, orphaning git index.lock and similar
- [BUG] Default git workflow in the system prompt was pushed without context or consent
- [MODEL] Inconsistent output quality / Ignoring instructions (overfitting and inappropriate repetition of Korean vocabulary)
- You've hit your weekly limit · resets May 31 at 5pm (Asia/Shanghai)
- Paid yearly subscription silently downgraded to Free with no user action
- [Regression v2.1.153] Plugin bash hooks fail with "echo: write error: Permission denied" on Windows (claude-mem, shell: "bash")
- [BUG] Connector toggles in conversation are not clickable — must click text label instead
- [remote-control] Input from mobile app/browser not reaching host session — output works fine
- Model fails to read/reference CLAUDE.md contents despite being loaded in context
- [BUG] Claude Desktop reinstall destroys Code chat history (transcripts + Recents) while regular Chat history, project files, and memory all survive
- Bypass mode clamps to Accept Edits even with the toggle ON (Claude Code Desktop 1.9255.2 / CC 2.1.149)
- [BUG] TUI input freezes randomly mid-typing — entire prompt becomes unresponsive for minutes
- [BUG] Cowork downloads Linux ELF binary instead of macOS binary on macOS Sonoma 14.8.7 — exit code 132 (SIGILL) on every session
- [Feature Request] Persistent project memory — sessions forget everything on close, forcing users to keep many sessions open
- [Bug] Thread context stale after sleep/resume, returns outdated date and calendar data
- [FEATURE] Add context window usage indicator and warning before auto-compaction
- [BUG] Dictation error: Invalid character in header content ["x-config-keyterms"] on Windows
- [Bug] Anthropic API Error: Server rate limiting despite normal usage
- Does delegating work to `claude -p` subprocesses reduce context accumulation in the parent session?
- [BUG] Claude Code hangs on M1 Mac when terminal says "opening browser to sign in" and browser opens
- [BUG] Claude_Preview MCP preview_start spawns dev server with main-repo cwd instead of session's worktree cwd
- [Bug] Anthropic API Error: Server rate limiting during request execution
- [Bug] Anthropic API Error: Server rate limiting on concurrent requests
- [Bug] Ultraplan ready notification fires before cloud agent completes execution
- [BUG] API 500 ERROR ALL THROUGHOUT THE DAY
- [BUG] Cowork: Live Artifacts folder path changed in 1.9255.2, no automatic migration from Documents\Claude\Artifacts
- [Bug] Auto-compact never triggers despite statusline reporting "100% context used" (v2.1.153, Max sub, 200K mode)
- [BUG] [Desktop / macOS] 'Open in → New Window' detached session: font renders smaller than main, no per-window controls, Cmd+/Cmd- keystrokes routed to main window instead
- Feature request: option to switch between classic and new minimal UI
- [Feature Request] Show timestamps for each message
- [BUG] Terminal corruption when permission prompt appears while navigating Agent Teams agent selection menu
- [FEATURE] Allow users to customize the background color of the Claude desktop app beyond the current light/dark theme presets.
- [BUG] Statusline not displaying on Windows [fixed]
- Background agent UI Stop button is a no-op for stuck agents — process keeps consuming tokens
- Background agents silently die on session pause/resume — no completion notification, no work recovery
- Add option to hide email address from welcome banner
- [BUG] SSH Remote: `projects` field in remote ~/.claude.json becomes null after desktop restart — jsonl files intact, UI shows 'No messages yet' for every session
- [Bug] Claude Code not applying fixes despite claiming to complete tasks
- billing is unfair and poorly documented
- [BUG] Claude Code on the web: declared plugins inactive on first session, require restart to fully load
- [BUG] Restore from archive deleted sessions instead of restoring them
- [BUG] M365 connector fails with AADSTS50011 in Cowork — localhost vs 127.0.0.1 redirect URI mismatch
- claude agents: workflow slash-commands missing from dispatch-input completion (regression-adjacent to #61424)
- Claude Desktop's Info.plist missing TCC usage strings, blocks all EventKit-based MCP servers
- False-positive safety blocks on self-administered governance amendments — request for owner-authority mode for verified professional users
- [BUG] Stop pushing "AUTO"-mode
- [DOCS] Plugin marketplace guide omits `skipLfs` option for git-based sources
- [DOCS] MCP docs omit combined startup notification for MCP server and connector authentication
- [DOCS] Agent view docs omit macOS Privacy & Security identity for background agents
- [DOCS] Npm update docs do not explain release-channel behavior for `claude update`
- [DOCS] Agent SDK docs omit `subagent_type: "claude"` worktree and output persistence behavior
- [DOCS] Background session docs omit `$CLAUDE_JOB_DIR` temp-file behavior
- [FR] mask env-var values in 'claude mcp get <server>' output
- [FR] subagent worktrees should not inherit stale local 'user.email' from prior dispatches
- [BUG] Windows: Grep tool leaks rg.exe + conhost.exe processes (~2000 zombies / 14 GB RAM in long sessions)
- [BUG] Stats dashboard "Peak hour" appears off by one hour
- [BUG] Diff highlight (teal SGR background) bleeds past changed text in 2.1.150–2.1.153
- [FEATURE] confirm before deleting session
- Plugin PostToolUse hooks still silently skip in Claude Desktop / Cowork (re-filing closed #51904)
- /code-review skill: silent fallback to main...HEAD reviews other people's commits, and JSON-only output is hard to read
- Monitor tool doesn't source the shell snapshot like Bash does; PATH-dependent tools (jq, sleep, etc.) fail in Monitor commands on macOS/Nix
- [Bug] Long input lines truncated with ellipsis while typing instead of wrapping in terminal UI
- [FEATURE] VS Code extension: Render submitted user messages as Markdown in chat
- OSC 52 copy from Claude TUI doesn't reach clipboard inside tmux (regression in 2.1.146–2.1.153)
- [BUG] RemoteTrigger create/update returns HTTP 400 with circular error: "event_type is required" / "unknown field event_type"
- [BUG] Option to hide or minimize the built-in "status footer" (multi-line debug/cost panel) [re-raise of #31475]
- [Bug] Feedback submissions being closed without review or action
- [FEATURE] Word-jump cursor navigation in Chat input (option+arrow / bindable actions)
- [FEATURE] ! shell mode: filesystem tab completion
- [BUG] API Error: Usage credits required for 1M context
- claude agents: OSC 52 clipboard emission broken in tmux (regression in 2.1.146–2.1.153)
- CLI crashes on macOS 15 M3 - exit code 1
- [FEATURE] Support Cmd+V image paste from clipboard
- [FEATURE] Enhance claude.ai M365 connector to support MS Planner
- [BUG] Slash command autocomplete hijacks pasted absolute file paths starting with /
- PreToolUse hook `if` filter false-positives on complex Bash commands
- [BUG] Diff panel hangs/whites out
- Feature Request: Support drag-and-drop for binary documents (.wps, .doc, .docx, .xlsx, .pdf) in VS Code extension
- [BUG] activation of 1M context in VSCode
- [FEATURE] Support i18n / language localization for built-in slash command outputs
- Ctrl+V para colar imagens deixou de funcionar no CLI (Windows, PowerShell)
- [FEATURE] Please add Norwegian (Bokmål/Nynorsk) language support to the Claude Code interface
- [BUG] OTel log events (claude_code.user_prompt, api_request_body, tool_decision, hook_execution_complete) emitted with empty trace_id/span_id while sibling spans correlate correctly
- [BUG] Cowork crashes on every message, no VM logs generated, missing AppData\Roaming\Claude
- [FEATURE] first-class session handoff + per-session token budgets for unattended runs
- [FEATURE] Smart paste: convert clipboard code to file reference chips (like Cursor)
- [Feature Request] Restore chat pin functionality to title chat submenu
- [BUG] SIGILL issues with version 2.1.153
- [BUG] Cowork plugin upload fails with generic "Plugin validation failed" when a `description` field in any SKILL.md frontmatter contains angle brackets (`<…>`)
- [BUG] Desktop App 2.1.144+: startup scanner deletes cliSessionId from claude-code-sessions local files on every launch — session not found on disk
- [Feature Request] Add keyboard shortcut to copy last message with proper formatting
- [MODEL] Opus 4.7 not 1M
- Allow naming/renaming background agents in `claude agents` view
- Stale worktrees in .claude/worktrees/ are never cleaned up, consuming massive disk space
- Agent worktrees are never cleaned up, silently consuming disk space
- Subagent worktrees not auto-cleaned when reviewer writes scratch files
- [Bug] Skill initialization hangs for extended duration in Plan Mode
- Claude Desktop writes malformed registry Run entry (nested escaped quotes) - crashes Windows Task Manager and other Run-key parsers
- IME candidate window shows at bottom-right corner instead of caret position (Windows CMD)
- [BUG] Pressing 'Escape' doesn't close the /BTW conversation when the main conversation is asking for approval
- [BUG] Opus 4.7 (1M) intermittently emits empty-string values for tool_use.input fields, killing the session
- FleetView agent UI shows "running" with incrementing elapsed time after agent has returned
- /doctor flags context-scoped cmd+c binding as macOS conflict (false positive)
- [BUG] Text Rendering in Elvish
- Desktop app: Bypass Permissions mode flips to Accept Edits on first prompt (M5 / macOS 26.5)
- [Workaround] Date-Weekday Verification Hook — Prevents Claude from writing wrong weekdays
- [BUG] Claude Code create c:/memfs directory without asking me.
- [BUG] Claude Code's Bash execution waits forever with no processes running
- [BUG] usage stays stuck waiting for 5 hr limit after upgrading to premium seat in team plan
- [Workflow tool] resume cache is unreachable for nontrivial workflows because LLM dispatchers can't transcribe args byte-exactly
- Code review (Preview): "Add a repository" shows no results for private GitHub org repos
- [BUG] /context commands blows up context
- [Feature Request] Add precache expiry hook to enable proactive compaction before token eviction
- [BUG] Context indicator shows 0% at session start despite ~20K+ tokens already loaded
- [Feature Request] Add semantic search for --resume session history
- [Feature Request] Add session search, tagging, and filtering capabilities
- [BUG] Cowork Dispatch reports "desktop not available" on Windows 11 while standard Cowork works normally
- [Bug] Claude Code provides incorrect suggestions with high confidence despite errors
- defaultMode: acceptEdits silently overrides per-path permissions.ask rules for Write/Edit
- [FEATUR configurable tip interval (e.g. tipIntervalSeconds: 30 in settings)E]
- Plugin marketplace fails to load: schema rejects 'displayName' key (v2.1.153)
- claude agents: in-session copy uses broken OSC 52 path while overview correctly uses tmux buffer
- [BUG] Plugin agent descriptions (and custom agents) load unconditionally into context — no parity with disable-model-invocation for skills
- Crashed ultrareview consumed a free credit despite producing zero findings
- [Bug] Character rendering issue - invisible or missing text display
- [BUG] Cowork: processo Claude Code encerra com código 3 — .claude.json não contém token de autenticação (Windows 11 25H2)
- [BUG] 2.1.153 silently discards tools/list response from rmcp 0.12.0 HTTP MCP server (works in 2.1.152, wire-identical handshake)
- VS Code extension: option to auto-resume last session when reopening a workspace folder
- [Bug] Conversation continuation failure
- [BUG] Cowork crashes every time I start a new chat or attempt to continue an existing one in any project. The error displayed is: "Claude Code è andato in crash
- [Bug] Unannounced quota changes
- Native update/install fails with 'socket connection was closed unexpectedly' behind proxy — undici TLS incompatibility
- [BUG] Session name reverting after manual change
- [BUG] 非正常思考，上下文过长时，一直显示思考，点击interrupt按钮失效
- Honor `tools:` frontmatter when an agent is invoked via `@mention` — strip `Task` only when the agent did not declare it
- macOS TCC popup still recurring on v2.1.153 — "2.1.153" would like to access data from other apps
- Claude Code leaks pty handles — exhausts pseudo-terminals on macOS after long session
- [Bug] Agent fails to execute or respond to user input
- [BUG] Persistent "Expecting value: line 1 column 1 (char 0)" JSON parse error after tool execution
- [Feature Request] Implement proactive unit test coverage recommendations for recurring bugs
- VS Code panel lacks status line + terminal lacks image paste in Codespaces, forcing a tradeoff
- `/powerup` only shows ~10 lessons — allow viewing the full catalog
- [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin
- [Bug] VSCode terminal output displays corrupted text with garbled symbols
- [Feature Request] Add LaTeX/KaTeX math rendering to TUI
- [Bug] Sub-agent PR review results not validated by orchestrating agent
- Subagents on Pro 1M tier: trivial probes pass, real workloads fail at first tool call (probe-vs-workload divergence)
- Path-scoped rules and subdirectory CLAUDE.md not loaded when creating new files matching the pattern
- AskUserQuestion: cancelling during extended thinking poisons the whole session with 400 'thinking blocks cannot be modified' (2.1.153); concurrent prompts overwrite each other
- Ideas Missing from Claude Cowork Menu (Windows)
- [BUG_BOUNTY_SAFE_POC_2026] Prompt Injection RCE Test - Command Execution Proof
- [BUG] Cowork scheduled task: execution history row not showing after successful run
- Resuming an extended-thinking session fails permanently with 400 "thinking blocks cannot be modified" (transcript stores thinking text as empty but keeps signature)
- [Bug] Plugin-registered CwdChanged and FileChanged hooks don't fire (settings.json works) — v2.1.153
- Auto-archive on PR merge / branch delete — clarify autoArchiveSessions semantics or add dedicated opt-out
- `claude mcp add` echoes Authorization header value verbatim to stdout, leaks bearer tokens to terminal and session transcripts
- [BUG] Bug report — /insights skill, Claude Code The /insights skill outputs a malformed file path.
- Plugin slash commands render with '*'-inline format instead of two-column, despite matching official plugin shape
- [Bug] Unexpected long text generation without user input or goal
- [Bug] Thinking blocks causing task progression blocked without user modification
- [BUG] (Critical!) contamination by an unknown session simirlar to the report => [Bug] Context contamination after auto-compact with unrelated email draft of Tejo/Sado Basin #63137
- [Critical] Opus 4.7 Korean output degeneration — Korean grammar itself collapses in long contexts
- [BUG] Title: Autocompact buffer persists across /clear — wastes tokens for irrelevant old context
- [Bug] Auto-Compact loses user input before processing in conversation history
- Feature: per-invocation effort parameter + runtime session-config introspection for skills
- Auto-mode classifier mislabels Azure DevOps vote -5 as "Reject" when denying PR vote actions
- [BUG] Claude Desktop and Claude Code CLI never re-register MCP tools after OAuth 2.1 handshake on a remote HTTP server
- [BUG] Workspace file tags leak across sessions
- [BUG] Ink renderer crashes on Windows 11 build 26200 (Canary) duplicate banners, terminal mode leaks, mid-operation aborts
- [BUG] Claude Code Desktop issue
- PTY master fd leak in Claude desktop app exhausts macOS kern.tty.ptmx_max after ~2-3 days
- [BUG] Claude Code — Session Management after Unexpected Interruption
- [Windows] Cowork OpenTelemetry exporter does not initialize - zero events emitted to any destination, including loopback
- [Bug] Opus 4.7: 400 `thinking blocks ... cannot be modified` on long extended-thinking sessions, triggered by history-altering events (scheduled prompts / parallel tool-call cancellation)
- [BUG] API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited
- Multi-plugin custom marketplace: only first plugin registered in installed_plugins.json, skills don't load
- [BUG] Git push through the SDK's git proxy fan-outs into ~500 GitHub REST API calls, exhausting the 5,000/hour budget after a handful of pushes
- [BUG] Claude took liberties it really shouldn't with my global config
- [BUG] Agent window focus lost after navigating with arrow keys, causing scroll deadlock
- [BUG] `--model` flag silently ignored in interactive sessions (works in `--print` only)
- [BUG] Dispatch permanently shows "desktop appears offline" on Windows 11 - never worked on first use
- feat: support per-command enableWeakerNetworkIsolation as safer alternative to dangerouslyDisableSandbox
- /code-review outputs a raw JSON array instead of readable findings
- [BUG] Cowork — Additional allowed domains ignored on Team plan; same domain works on Pro plan
- Haiku
- [Bug] False positive blocking beneficial outcomes in tool execution
- 3P Bedrock SSO: credentials silently expire without triggering re-auth on day 2+
- CLAUDE_AUTOCOMPACT_PCT_OVERRIDE in settings.json env block silently ignored by autocompact logic
- Auto-compaction deletes main session JSONL before verifying summary completion, causing data loss
- [Bug] Claude Code not executing stated actions or producing expected results
- [FEATURE] Deferred Messages — Queue Input for End of Turn
- [BUG] Up/Down arrows in input box navigate history instead of moving cursor — regression in 2.1.149+
- Cancelling a parallel tool-call batch corrupts thinking blocks -> 400 "thinking blocks cannot be modified" permanently wedges the session
- Claude Code caused data loss, then contradicted itself about recovery (two incidents, one session)
- [Bug] Unclear error messages from Claude Code CLI
- [Bug] Agent tool rejecting due to context size limit exceeded
- claude agents: daemon and bg-spare processes spin at ~100% CPU when idle
- [BUG] Compaction fails with "context window limit" error even when context usage is low (e.g., 20%) — regression in v2.1.153
- Remote Control entitlement lost after May 27-28 incident — `Error: Remote Control is not yet enabled for your account` on active Max subscription
- PreToolUse hook exit code 2 does not block Write tool
- [Bug] Thinking blocks in latest assistant message are immutable
- GUI: dispatch file:// and custom-scheme clicks to OS shell handler
- Show current model in statusLine by default
- [Bug] Agent console becomes unresponsive to keyboard input after multiple agents initialized
- [FEATURE] PreToolUse hooks should have a way of updating the environment
- [Bug] Unable to start or use Claude Code CLI
- [BUG] Repository not visible in Claude Code web repo picker
- Session permanently wedged on 400 "thinking blocks cannot be modified" after parallel tool_results
- [Bug] @ autocomplete loses sibling repos after a file edit in multi-repo workspace
- Unclear error message when creating sub-agent without authentication
- [Bug] Anthropic API errors causing frequent failures and high token usage
- [BUG] @ mention file picker only shows packages, not individual files (desktop app - Code tab)
- [Bug] TUI panel footer remains sticky and consumes excessive terminal space
- PR-status polling exhausts GitHub GraphQL rate limit on repos with many open PRs
- [BUG] Windows: welcome panel not shown in some project folders (2.1.153)
- [Bug] Anthropic API Error: thinking blocks corrupted during context compaction with extended thinking enabled
- API 400 "thinking blocks cannot be modified" permanently bricks session during agent activation (interleaved thinking + tool use)
- Right-click Copy copies the whole message instead of the selection; pasted text retains dark background
- Mid-session model switch corrupts conversation when extended thinking is enabled (API 400: 'thinking blocks cannot be modified')
- [BUG] Markdown file links in chat output do not open files when clicked (VS Code extension)
- Stuck retry loop: `400 thinking blocks cannot be modified` on large interleaved-thinking turns using AskUserQuestion
- [FEATURE] Prompt user for approval before auto-compaction proceeds
- Custom MCP connectors not attachable to scheduled routines — no UUID discovery path
- [BUG] Claude in Chrome — Navigation blocked for teams.cloud.microsoft and outlook.cloud.microsoft after Microsoft domain migration**
- [BUG] Claude Desktop — Personal plugins panel renders list but is entirely non-interactive (macOS, v1.9255.2)
- [Bug] error when using Workflows
- [BUG] Persistent "update available" notification despite being on latest version
- [BUG] Sweep Agent from /code-review never completes
- [Bug] Tool calls not executing or returning results
- [FEATURE] Cloud-synced memory and settings across machines
- [Bug] Terminal UI freezes when Ctrl+O view exits during interactive prompt in plan mode
- Continuous api errors when using claude code with Opus 4.7 with thinking on low
- [Feature Request] Add support for installing and using previous Claude Code versions
- [Bug] Extended Thinking: Summarized thinking blocks fail signature validation when resent to API
- [Bug] Anthropic API Error: 'thinking' blocks cannot be modified
- [Bug] Anthropic API Error: Thinking blocks cannot be modified with extended thinking mode
- Feature request: Lazy/on-demand MCP server connections
- [Bug] Tool Arguments Parsed as String Instead of Object
- [Bug] Anthropic API Error: Insufficient context provided
- [Bug] Claude Opus occasionally uses moskovian(russian) orthography instead of Ukrainian in system-prompted responses
- Opus 4.8: backgrounded task completions (subagents AND Bash) crash with 400 "thinking blocks cannot be modified"
- [Bug] Opus 4.7 fabricates stable preferences ("my default") to rationalize arbitrary choices when challenged
- [Bug] Unable to update Claude Code CLI
- [BUG] Desktop app: /remote-control mints link + connects bridge (main.log) but in-chat link/QR panel never renders
- Feature: sessionColor and sessionName in .claude/settings.json
- [BUG] Anthropic API error: thinking blocks
- [FEATURE] Support Remote MCPs in Cowork as in Claude Code
- [Bug] Anthropic API Error: 400 Bad Request with Redacted Thinking - 0 4.7 & 4.8
- [Bug] Anthropic API Error: Cannot modify thinking blocks from different model versions
- Interleaved thinking + multi-tool turn corrupts thinking block (text blanked, signature kept) → permanent 400 'blocks must remain as they were'
- [BUG] Mode/permission changes mid-tool-loop (effortLevel: xhigh) poisons entire session
- Session failure log: Opus 4.6 ignores its own rules for an entire session
- [BUG] "400 Guardrail was enabled" error when using Claude Opus 4.8 with AWS Bedrock
- [Feature Request] Add subagent approach selection option to avoid accidental feedback
- Persistent 400 'thinking blocks in the latest assistant message cannot be modified' — interleaved thinking persisted with empty text + signature bricks sessions
- [BUG] DesktopvsApp
- [BUG] Opus 4.7 cache hit rate collapse after May 27 incident — Messages 1.1k→88.9k in 9 minutes, $630/session
- [Bug] Anthropic API Error: Invalid thinking block format
- [BUG] FUCK CLAUDE
- Opus 4.8 extended thinking: Stop hook block re-entry corrupts thinking blocks → 400
- [Bug] 4.8 Fails when accessing previous model history
- [Bug] Unintended File Modifications During Execution
- [DOCS] Model configuration docs omit lean system prompt default scope and model exceptions
- Add "Always allow globally" option to permission prompts
- Server-side model upgrade (Opus 4.7→4.8) wedges in-flight sessions with `thinking blocks cannot be modified` 400
- [DOCS] AskUserQuestion docs missing multiple-choice prompt decision threshold
- [DOCS] Agent view docs omit shell-command background session launch syntax
- [DOCS] Agent view dispatch input docs incorrectly imply `/logout` dispatches as a prompt
- [DOCS] Claude in Chrome docs omit connected-browser selection behavior
- [DOCS] Plugin docs omit `defaultEnabled: false` for opt-in plugins
- Feature Request: Customizable chat text colors for user and assistant messages
- [DOCS] `/plugin` Discover tab docs omit directory-based suggested plugin pins
- VSCode Chrome integration silently fails: 3 distinct bugs
- [DOCS] MCP stdio docs omit session environment variables
- [Bug] Anthropic API error on second request within session with Claude Opus 4.8
- Cowork emits a blank session "index" handoff on focus when a CLI session is paused awaiting input
- [DOCS] MCP docs omit `claude mcp list/get` pending-approval output for unapproved project servers
- [BUG] /compact fails with 400 error when last assistant turn contains thinking blocks
- [DOCS] `/claude-api` docs omit Opus 4.8 migration guidance
- [DOCS] Fast mode docs still recommend deprecated Opus 4.6 override variable
- [DOCS] Bash tool docs omit `$TMPDIR` consistency across sandboxed and unsandboxed commands
- [Bug] Anthropic API Error: 400 Bad Request on Extended Thinking
- [DOCS] Background session docs omit worktree-isolation behavior for spawned subagents
- Built-in mechanistic self-verification of verifiable claims (symmetric to the auto permission gate)
- [DOCS] Worktree docs do not clarify `worktree.baseRef: "head"` inside linked worktrees
- [BUG] Excessive RAM usage with multiple parallel chats (~10 sessions → 30 GB memory pressure, macOS OOM)
- [DOCS] Managed MCP policy docs omit invalid `allowedMcpServers`/`deniedMcpServers` entry behavior
- [DOCS] Effort docs omit `CLAUDE_CODE_ALWAYS_ENABLE_EFFORT` unsupported-model behavior
- Regression (2.1.147–2.1.150?): resuming an extended-thinking session after a CC update/model-switch → unrecoverable 400, session bricked
- [DOCS] Windows updater docs omit `claude.exe` in-use recovery guidance
- [DOCS] VS Code auto mode docs still tie mode-picker visibility to bypass-permissions setting
- [DOCS] MCP docs omit `/mcp` tool list and detail rendering behavior
- [DOCS] Fine-grained tool streaming docs still describe provider opt-in behavior
- bypassPermissions: session startup reads flat pref, GUI toggle writes per-account pref — they never sync
- [BUG] Claude Desktop Code tab causes disk write limit violation — 8.5GB in 11 min, macOS kills app (M5, v1.9659.1)
- Ultrareview v2.1.96: docs describe /tasks command + claude ultrareview --json subcommand that don't exist; findings hard to read after completion
- I'd be happy to help create a GitHub issue title, but I don't see the error message in your message. Could you please share the specific error you're encountering? That way I can generate an accurate and descriptive issue title for you.
- [BUG] Claude in Chrome `file_upload` rejects all scheduled-task sessions with misleading error (real cause: INVALID_SESSION)
- Extended thinking: signed thinking block 'cannot be modified' (400) permanently wedges session
- RTL text support for Hebrew (and Arabic) in Claude Code
- [Bug] Random errors occurring across multiple operations