[Bug]: when curl /chat/completions, TypeError: Unable to evaluate type annotation 'Required[Union[str, Iterable[ChatCompletionContentPartTextParam]]]'.

[youqugit]

Your current environment

The output of `python collect_env.py`

```text Collecting environment information... WARNING 09-13 07:28:00 cuda.py:22] You are using a deprecated `pynvml` package. Please install `nvidia-ml-py` instead, and make sure to uninstall `pynvml`. When both of them are installed, `pynvml` will take precedence and cause errors. See https://pypi.org/project/pynvml for more information. PyTorch version: 2.4.0+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 20.04.5 LTS (x86_64) GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 Clang version: Could not collect CMake version: version 3.24.1 Libc version: glibc-2.31 Python version: 3.8.10 (default, Nov 14 2022, 12:59:47) [GCC 9.4.0] (64-bit runtime) Python platform: Linux-3.10.0-1160.el7.x86_64-x86_64-with-glibc2.29 Is CUDA available: True CUDA runtime version: 11.8.89 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA A800 80GB PCIe GPU 1: NVIDIA A800 80GB PCIe GPU 2: NVIDIA A800 80GB PCIe GPU 3: NVIDIA A800 80GB PCIe GPU 4: NVIDIA A800 80GB PCIe GPU 5: NVIDIA A800 80GB PCIe Nvidia driver version: 535.129.03 cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.7.0 /usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.7.0 HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian Address sizes: 46 bits physical, 57 bits virtual CPU(s): 104 On-line CPU(s) list: 0-103 Thread(s) per core: 2 Core(s) per socket: 26 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 106 Model name: Intel(R) Xeon(R) Gold 5320 CPU @ 2.20GHz Stepping: 6 Frequency boost: enabled CPU MHz: 800.000 CPU max MHz: 3400.0000 CPU min MHz: 800.0000 BogoMIPS: 4400.00 Virtualization: VT-x L1d cache: 2.4 MiB L1i cache: 1.6 MiB L2 cache: 65 MiB L3 cache: 78 MiB NUMA node0 CPU(s): 0-25,52-77 NUMA node1 CPU(s): 26-51,78-103 Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; Load fences, usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb cat_l3 invpcid_single intel_pt ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq md_clear pconfig spec_ctrl intel_stibp flush_l1d arch_capabilities Versions of relevant libraries: [pip3] numpy==1.22.2 [pip3] nvidia-cublas-cu12==12.1.3.1 [pip3] nvidia-cuda-cupti-cu12==12.1.105 [pip3] nvidia-cuda-nvrtc-cu12==12.1.105 [pip3] nvidia-cuda-runtime-cu12==12.1.105 [pip3] nvidia-cudnn-cu12==9.1.0.70 [pip3] nvidia-cufft-cu12==11.0.2.54 [pip3] nvidia-curand-cu12==10.3.2.106 [pip3] nvidia-cusolver-cu12==11.4.5.107 [pip3] nvidia-cusparse-cu12==12.1.0.106 [pip3] nvidia-dali-cuda110==1.20.0 [pip3] nvidia-ml-py==12.560.30 [pip3] nvidia-nccl-cu12==2.20.5 [pip3] nvidia-nvjitlink-cu12==12.6.68 [pip3] nvidia-nvtx-cu12==12.1.105 [pip3] nvidia-pyindex==1.0.9 [pip3] onnx==1.12.0 [pip3] pynvml==11.4.1 [pip3] pytorch-quantization==2.1.2 [pip3] pyzmq==24.0.1 [pip3] torch==2.4.0 [pip3] torch-tensorrt==1.3.0a0 [pip3] torchtext==0.13.0a0+fae8e8c [pip3] torchvision==0.19.0 [pip3] transformers==4.44.2 [pip3] triton==3.0.0 [conda] Could not collect ROCM Version: Could not collect Neuron SDK Version: N/A vLLM Version: 0.6.1@3fd2b0d21cd9ec78de410fdf8aa1de840e9ad77a vLLM Build Flags: CUDA Archs: 5.2 6.0 6.1 7.0 7.5 8.0 8.6 9.0+PTX; ROCm: Disabled; Neuron: Disabled GPU Topology: GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 CPU Affinity NUMA Affinity GPU NUMA ID GPU0 X PIX PIX SYS SYS SYS 0-25,52-77 0 N/A GPU1 PIX X PIX SYS SYS SYS 0-25,52-77 0 N/A GPU2 PIX PIX X SYS SYS SYS 0-25,52-77 0 N/A GPU3 SYS SYS SYS X PIX PIX 26-51,78-103 1 N/A GPU4 SYS SYS SYS PIX X PIX 26-51,78-103 1 N/A GPU5 SYS SYS SYS PIX PIX X 26-51,78-103 1 N/A Legend: X = Self SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI) NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU) PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge) PIX = Connection traversing at most a single PCIe bridge NV# = Connection traversing a bonded set of # NVLinks ```

Model Input Dumps

No response

🐛 Describe the bug

I installed vllm according to the documentation with python 3.8 and cuda 11.8

# Install vLLM with CUDA 11.8.
export VLLM_VERSION=0.6.1
export PYTHON_VERSION=38
pip install https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux1_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118

Then I accessed the completions interface and everything was normal, but chat/completions reported an error

curl http://localhost:8000/v1/chat/completions \
    -H "Content-Type: application/json" \
    -d '{
        "model": "/models/Qwen1.5-32B-Chat-GPTQ-Int4",
        "prompt": "你是谁",
        "max_tokens": 512,
        "temperature": 0
    }'

ERROR

``` text INFO: 172.17.0.1:47950 - "POST /v1/chat/completions HTTP/1.1" 500 Internal Server Error ERROR: Exception in ASGI application Traceback (most recent call last): File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 270, in _init_core_attrs self._core_schema = _getattr_no_parents(self._type, '__pydantic_core_schema__') File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 112, in _getattr_no_parents raise AttributeError(attribute) AttributeError: __pydantic_core_schema__ During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 303, in _eval_type_backport return _eval_type(value, globalns, localns, type_params) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 332, in _eval_type return typing._eval_type( # type: ignore File "/usr/lib/python3.8/typing.py", line 270, in _eval_type return t._evaluate(globalns, localns) File "/usr/lib/python3.8/typing.py", line 518, in _evaluate eval(self.__forward_code__, globalns, localns), File "", line 1, in TypeError: 'pydantic_core._pydantic_core.PydanticUndefinedType' object is not subscriptable The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/lib/python3.8/dist-packages/uvicorn/protocols/http/httptools_impl.py", line 401, in run_asgi result = await app( # type: ignore[func-returns-value] File "/usr/local/lib/python3.8/dist-packages/uvicorn/middleware/proxy_headers.py", line 70, in __call__ return await self.app(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/fastapi/applications.py", line 1054, in __call__ await super().__call__(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/applications.py", line 113, in __call__ await self.middleware_stack(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/middleware/errors.py", line 187, in __call__ raise exc File "/usr/local/lib/python3.8/dist-packages/starlette/middleware/errors.py", line 165, in __call__ await self.app(scope, receive, _send) File "/usr/local/lib/python3.8/dist-packages/starlette/middleware/cors.py", line 85, in __call__ await self.app(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/middleware/exceptions.py", line 62, in __call__ await wrap_app_handling_exceptions(self.app, conn)(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/_exception_handler.py", line 62, in wrapped_app raise exc File "/usr/local/lib/python3.8/dist-packages/starlette/_exception_handler.py", line 51, in wrapped_app await app(scope, receive, sender) File "/usr/local/lib/python3.8/dist-packages/starlette/routing.py", line 715, in __call__ await self.middleware_stack(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/routing.py", line 735, in app await route.handle(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/routing.py", line 288, in handle await self.app(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/routing.py", line 76, in app await wrap_app_handling_exceptions(app, request)(scope, receive, send) File "/usr/local/lib/python3.8/dist-packages/starlette/_exception_handler.py", line 62, in wrapped_app raise exc File "/usr/local/lib/python3.8/dist-packages/starlette/_exception_handler.py", line 51, in wrapped_app await app(scope, receive, sender) File "/usr/local/lib/python3.8/dist-packages/starlette/routing.py", line 73, in app response = await f(request) File "/usr/local/lib/python3.8/dist-packages/fastapi/routing.py", line 291, in app solved_result = await solve_dependencies( File "/usr/local/lib/python3.8/dist-packages/fastapi/dependencies/utils.py", line 639, in solve_dependencies ) = await request_body_to_args( # body_params checked above File "/usr/local/lib/python3.8/dist-packages/fastapi/dependencies/utils.py", line 813, in request_body_to_args fields_to_extract = get_cached_model_fields(first_field.type_) File "/usr/local/lib/python3.8/dist-packages/fastapi/_compat.py", line 657, in get_cached_model_fields return get_model_fields(model) File "/usr/local/lib/python3.8/dist-packages/fastapi/_compat.py", line 284, in get_model_fields return [ File "/usr/local/lib/python3.8/dist-packages/fastapi/_compat.py", line 285, in ModelField(field_info=field_info, name=name) File "", line 6, in __init__ File "/usr/local/lib/python3.8/dist-packages/fastapi/_compat.py", line 110, in __post_init__ self._type_adapter: TypeAdapter[Any] = TypeAdapter( File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 257, in __init__ self._init_core_attrs(rebuild_mocks=False) File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 135, in wrapped return func(self, *args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 277, in _init_core_attrs self._core_schema = _get_schema(self._type, config_wrapper, parent_depth=self._parent_depth) File "/usr/local/lib/python3.8/dist-packages/pydantic/type_adapter.py", line 95, in _get_schema schema = gen.generate_schema(type_) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 655, in generate_schema schema = self._generate_schema_inner(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 908, in _generate_schema_inner return self._annotated_schema(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 2028, in _annotated_schema schema = self._apply_annotations(source_type, annotations) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 2107, in _apply_annotations schema = get_inner_schema(source_type) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_schema_generation_shared.py", line 83, in __call__ schema = self._handler(source_type) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 2189, in new_handler schema = metadata_get_schema(source, get_inner_schema) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 2185, in lambda source, handler: handler(source) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_schema_generation_shared.py", line 83, in __call__ schema = self._handler(source_type) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 2088, in inner_handler schema = self._generate_schema_inner(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 929, in _generate_schema_inner return self.match_type(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1029, in match_type return self._match_generic_type(obj, origin) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1062, in _match_generic_type return self._list_schema(self._get_first_arg_or_any(obj)) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 431, in _list_schema return core_schema.list_schema(self.generate_schema(items_type)) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 655, in generate_schema schema = self._generate_schema_inner(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 929, in _generate_schema_inner return self.match_type(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1029, in match_type return self._match_generic_type(obj, origin) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1058, in _match_generic_type return self._union_schema(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1378, in _union_schema choices.append(self.generate_schema(arg)) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 655, in generate_schema schema = self._generate_schema_inner(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 929, in _generate_schema_inner return self.match_type(obj) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 999, in match_type return self._typed_dict_schema(obj, None) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_generate_schema.py", line 1487, in _typed_dict_schema for field_name, annotation in get_cls_type_hints_lenient(typed_dict_cls, self._types_namespace).items(): File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 245, in get_cls_type_hints_lenient hints[name] = eval_type_lenient(value, globalns, localns) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 257, in eval_type_lenient return eval_type_backport(value, globalns, localns) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 279, in eval_type_backport return _eval_type_backport(value, globalns, localns, type_params) File "/usr/local/lib/python3.8/dist-packages/pydantic/_internal/_typing_extra.py", line 311, in _eval_type_backport raise TypeError( TypeError: Unable to evaluate type annotation 'Required[Union[str, Iterable[ChatCompletionContentPartTextParam]]]'. If you are making use of the new typing syntax (unions using `|` since Python 3.10 or builtins subscripting since Python 3.9), you should either replace the use of new syntax with the existing `typing` constructs or install the `eval_type_backport` package. ```

Before submitting a new issue...

• [X] Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

[DarkLight1337]

You need to upgrade Pydantic to 2.9 and FastAPI to 0.114. See #8212

[youqugit]

You need to upgrade Pydantic to 2.9 and FastAPI to 0.114. See #8212

Pydantic and FastAPI is meeting the requirements

root@135f6c4efbf9:/app# pip show Pydantic
Name: pydantic
Version: 2.9.1
Summary: Data validation using Python type hints
Home-page: https://github.com/pydantic/pydantic
Author: 
Author-email: Samuel Colvin <s@muelcolvin.com>, Eric Jolibois <em.jolibois@gmail.com>, Hasan Ramezani <hasan.r67@gmail.com>, Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Terrence Dorsey <terry@pydantic.dev>, David Montague <david@pydantic.dev>, Serge Matveenko <lig@countzero.co>, Marcelo Trylesinski <marcelotryle@gmail.com>, Sydney Runkle <sydneymarierunkle@gmail.com>, David Hewitt <mail@davidhewitt.io>, Alex Hall <alex.mojaki@gmail.com>
License: 
Location: /usr/local/lib/python3.8/dist-packages
Requires: annotated-types, pydantic-core, typing-extensions
Required-by: confection, fastapi, lm-format-enforcer, mistral_common, openai, outlines, spacy, thinc, vllm
root@135f6c4efbf9:/app# pip show FastAPI
Name: fastapi
Version: 0.114.1
Summary: FastAPI framework, high performance, easy to learn, fast to code, ready for production
Home-page: https://github.com/fastapi/fastapi
Author: 
Author-email: =?utf-8?q?Sebasti=C3=A1n_Ram=C3=ADrez?= <tiangolo@gmail.com>
License: 
Location: /usr/local/lib/python3.8/dist-packages
Requires: pydantic, starlette, typing-extensions
Required-by: vllm

[DarkLight1337]

Which version of typing_extensions do you have installed?

[youqugit]

typing_extensions Version: 4.12.2

[DarkLight1337]

What is your version of openai-python?

[youqugit]

openai-python is not installed

[DarkLight1337]

Sorry, I mean openai.

[youqugit]

root@135f6c4efbf9:/app# pip show openai
Name: openai
Version: 1.45.0
Summary: The official Python library for the openai API
Home-page: https://github.com/openai/openai-python
Author: 
Author-email: OpenAI <support@openai.com>
License: 
Location: /usr/local/lib/python3.8/dist-packages
Requires: anyio, distro, httpx, jiter, pydantic, sniffio, tqdm, typing-extensions
Required-by: vllm

[DarkLight1337]

Hmm, I installed these versions locally and failed to repro the issue. The only thing left to check is the Python version, since I'm on Python 3.10 rather than Python 3.8.

[youqugit]

ye,My python vresion is Python 3.8.10

[DarkLight1337]

Actually wait - can you also upgrade the version of pydantic_core?

[youqugit]

vllm-0.6.1+cu118-cp38-cp38-manylinux1_x86_64.whl May have some problems? pydantic_core is 2.23.3 I try to update it

[youqugit]

root@135f6c4efbf9:/app# pip install -U pydantic_core -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple, https://pypi.ngc.nvidia.com
Requirement already satisfied: pydantic_core in /usr/local/lib/python3.8/dist-packages (2.23.3)
Requirement already satisfied: typing-extensions!=4.7.0,>=4.6.0 in /usr/local/lib/python3.8/dist-packages (from pydantic_core) (4.12.2)

[DarkLight1337]

Hmm, since Python 3.8 is going to reach EOL soon, it may be better to just upgrade your Python version. Otherwise, temporarily downgrading fastapi < 0.113 may also work.

[youqugit]

Thank you I will try it

[youqugit]

Hmm, since Python 3.8 is going to reach EOL soon, it may be better to just upgrade your Python version. Otherwise, temporarily downgrading fastapi < 0.113 may also work.

This is the right way

[pachewise]

@DarkLight1337 fixing the version will solve this for now, but proposed a permanent fix here

[DarkLight1337]

@DarkLight1337 fixing the version will solve this for now, but proposed a permanent fix here

Thanks for looking into this in such detail!