bug: Cannot use pydantic models with namedtuples

[dcferreira]

Describe the bug

I have a BentoML service that serves whisper, and when upgrading our codebase to pydantic 2.x I think I ran into a bug in BentoML's parsing of pydantic models into OpenAPI spec.

For the return type of my endpoint, I have a pydantic class in which some fields are named tuples from another library (such as this).
When trying to build the docker image, while the OpenAPI spec is created, I get the error:

  File "/Users/dcferreira/projects/other/bentoml_openapi_example/.venv/lib/python3.11/site-packages/_bentoml_sdk/io_models.py", line 97, in <dictcomp>
    components.update({k: Schema(**v) for k, v in defs.items()})
                          ^^^^^^^^^^^
TypeError: Schema.__init__() got an unexpected keyword argument 'prefixItems'

I believe this is the same issue as in this other library, where this prefixItems is a new thing in the OpenAPI spec.
This was working with pydantic 1.10.

To reproduce

1. Create a service.py

from __future__ import annotations
from collections import namedtuple
import bentoml
from pydantic import BaseModel

EXAMPLE_INPUT = "world!"

MyTuple = namedtuple("MyTuple", ["foo", "bar"])

class OtherParams(BaseModel):
  foo: str = "foo"
  bar: str = "bar"
  tuple1: tuple[str, str] = ("foo", "bar")
  tuple2: MyTuple = MyTuple(foo="foo", bar="bar")

EXAMPLE_PARAMS = OtherParams()

@bentoml.service()
class HelloWorld:
  def __init__(self) -> None:
      self.val = "hello "

  @bentoml.api
  def run(self, text: str = EXAMPLE_INPUT, params: OtherParams = EXAMPLE_PARAMS) -> str:
      print(params.dict())
      return self.val + text

2. Run bentoml serve service:HelloWorld
3. Send any request to the server
4. It will crash with the above error

As an alternative, you can replace steps 2-4 with running bentoml build . if you use this bentofile.yaml

service: 'service:HelloWorld'
labels:
  owner: bentoml-team
  project: gallery
include:
  - '*.py'
python:
  packages:
    - pydantic

If you remove the tuple2 from the pydantic class above, everything works as expected.

Expected behavior

No response

Environment

Environment variable

BENTOML_DEBUG=''
BENTOML_QUIET=''
BENTOML_BUNDLE_LOCAL_BUILD=''
BENTOML_DO_NOT_TRACK=''
BENTOML_CONFIG=''
BENTOML_CONFIG_OPTIONS=''
BENTOML_PORT=''
BENTOML_HOST=''
BENTOML_API_WORKERS=''

System information

bentoml: 1.2.12
python: 3.11.4
platform: macOS-14.4.1-arm64-arm-64bit
uid_gid: 501:20

pip_packages

aiohttp==3.9.5
aiosignal==1.3.1
annotated-types==0.6.0
anyio==4.3.0
appdirs==1.4.4
asgiref==3.8.1
attrs==23.2.0
bentoml==1.2.12
build==1.2.1
cattrs==23.1.2
certifi==2024.2.2
circus==0.18.0
click==8.1.7
click-option-group==0.5.6
cloudpickle==3.0.0
deepmerge==1.1.1
Deprecated==1.2.14
frozenlist==1.4.1
fs==2.4.16
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
importlib-metadata==6.11.0
inflection==0.5.1
Jinja2==3.1.3
markdown-it-py==3.0.0
MarkupSafe==2.1.5
mdurl==0.1.2
multidict==6.0.5
numpy==1.26.4
nvidia-ml-py==11.525.150
opentelemetry-api==1.20.0
opentelemetry-instrumentation==0.41b0
opentelemetry-instrumentation-aiohttp-client==0.41b0
opentelemetry-instrumentation-asgi==0.41b0
opentelemetry-sdk==1.20.0
opentelemetry-semantic-conventions==0.41b0
opentelemetry-util-http==0.41b0
packaging==24.0
pathspec==0.12.1
pip-requirements-parser==32.0.1
pip-tools==7.4.1
prometheus_client==0.20.0
psutil==5.9.8
pydantic==2.7.1
pydantic_core==2.18.2
Pygments==2.18.0
pyparsing==3.1.2
pyproject_hooks==1.1.0
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
python-multipart==0.0.9
PyYAML==6.0.1
pyzmq==26.0.3
rich==13.7.1
schema==0.7.7
simple-di==0.1.5
six==1.16.0
sniffio==1.3.1
starlette==0.37.2
tomli_w==1.0.0
tornado==6.4
typing_extensions==4.11.0
uvicorn==0.29.0
watchfiles==0.21.0
wrapt==1.16.0
yarl==1.9.4
zipp==3.18.1