diff --git a/.github/workflows/tests.yaml b/.github/workflows/tests.yaml
index 267998a..d5c499e 100644
--- a/.github/workflows/tests.yaml
+++ b/.github/workflows/tests.yaml
@@ -6,27 +6,24 @@ jobs:
     name: lint
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@master
-    - uses: actions/setup-python@v2
-      with:
-        python-version: 3.8
-    - uses: pre-commit/action@v2.0.0
-  pytest:
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.10"
+      - uses: pre-commit/action@v3.0.0
+  tests:
     name: pytest
     runs-on: ubuntu-latest
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.7", "3.8", "3.9", "3.10"]
+        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
         os: [ubuntu-latest, macos-latest, windows-latest]
     steps:
-      - uses: actions/checkout@master
-      - uses: actions/setup-python@v2
+      - uses: actions/checkout@v3
+      - uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
-      - name: Ensure poetry
-        uses: abatilo/actions-poetry@v2.1.2
-      - name: Install dependencies
-        run: poetry install
-      - name: Run matrix of tests with Tox
-        run: poetry run tox
+      - uses: abatilo/actions-poetry@v2
+      - run: poetry install
+      - run: poetry run nox --non-interactive
diff --git a/.gitignore b/.gitignore
index 3e19f0a..8b94a83 100644
--- a/.gitignore
+++ b/.gitignore
@@ -75,3 +75,7 @@ dmypy.json
 
 # PyCharm / IntelliJ
 .idea/
+
+# vim
+*.swp
+*.swo
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index dac743a..d1123e8 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,24 +1,25 @@
-default_language_version:
-    python: python3.8
 fail_fast: true
 repos:
-  - repo: git://github.com/pre-commit/pre-commit-hooks
-    rev: v2.1.0
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v3.0.0
     hooks:
-    - id: check-merge-conflict
-    - id: check-yaml
-    - id: debug-statements
-    - id: end-of-file-fixer
-      exclude: ^docs/.*$
-    - id: trailing-whitespace
-      exclude: README.md
-    - id: flake8
+      - id: check-merge-conflict
+      - id: check-yaml
+      - id: debug-statements
+      - id: end-of-file-fixer
+        exclude: ^docs/.*$
+      - id: trailing-whitespace
+        exclude: README.md
+  - repo: https://github.com/pycqa/flake8
+    rev: "6.1.0"
+    hooks:
+      - id: flake8
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v0.812
+    rev: v1.4.1
     hooks:
       - id: mypy
         args: [--ignore-missing-imports, --no-strict-optional]
-  - repo: https://github.com/python/black
-    rev: 20.8b1
+  - repo: https://github.com/psf/black
+    rev: 23.7.0
     hooks:
       - id: black
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index cdb97b2..abb1b00 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,36 +1,43 @@
 # Contributing Guide
 
 You will need:
-- Python 3.6 or higher
+- Python 3.7 or higher
 
 ## Getting started
 
-To get your development environment set up, run:
+To get your development environment set up, create and activate a virtual
+environment, and install poetry:
+
+```
+pipx install poetry
+# or with conda
+conda install poetry
+```
+
+Then install dependencies with poetry:
 
 ```sh
-pip install -e .[dev]
+poetry install
 ```
 
-in an activated virtual environment. This will install the repo version of
+This will install the repo version of
 `graphene-pydantic` and then install the development dependencies. Once that
 has completed, you can start developing.
 
-## Contributor License Agreement
+### Running tests
+
+To run the tests locally, you can simply run `pytest`.
 
+In CI, we run tests using [nox](https://nox.thea.codes/en/stable/index.html),
+which runs the test multiple times using different package versions. Run
+`poetry run nox` to run the entire test suite.
 
-We require all contributors to sign the [Upside CLA](./CONTRIBUTOR_LICENSE_AGREEMENT.md).
+### Pre-commit, linting
 
-In simple terms, the CLA affirms that the work you're contributing is original,
-that you grant Upside permission to use that work (including license to any
-patents necessary), and that Upside may relicense your work for our commercial
-products if necessary. Note that this description is a summary and the specific
-legal terms should be read directly in the CLA.
+We use [pre-commit](https://pre-commit.com/) to manage git pre-commit hooks. This
+will fail linting locally so you can see errors before they run in CI. Run `pre-commit install`
+to install the hooks.
 
-The CLA does not change the terms of the standard open source license used by
-our software. You are still free to use our projects within your own projects or
-businesses, republish modified source, and more. Please reference the license of
-this project to learn more.
+To run them manually, run `pre-commit run --all-files`.
 
-To sign the CLA, open a pull request as usual. If you haven't signed the CLA
-yet, we cannot merge any pull request until the CLA is signed. You only need to
-sign the CLA once.
+To skip them when committing, run `git commit` with the `--no-verify` flag.
diff --git a/README.md b/README.md
index 3eb6bac..17d0561 100644
--- a/README.md
+++ b/README.md
@@ -120,7 +120,7 @@ class Person(PydanticObjectType):
         model = PersonModel
         # exclude specified fields
         exclude_fields = ("id",)
-        
+
     full_name = graphene.String()
 
     def resolve_full_name(self, info, **kwargs):
@@ -137,19 +137,19 @@ class NodeModel(BaseModel):
     id: int
     name: str
     labels: 'LabelsModel'
-    
+
 class LabelsModel(BaseModel):
     node: NodeModel
     labels: typing.List[str]
-    
+
 class Node(PydanticObjectType):
     class Meta:
         model = NodeModel
-        
+
 class Labels(PydanticObjectType):
     class Meta:
         model = LabelsModel
-        
+
 
 Node.resolve_placeholders()  # make the `labels` field work
 Labels.resolve_placeholders()  # make the `node` field work
@@ -157,7 +157,7 @@ Labels.resolve_placeholders()  # make the `node` field work
 
 ### Full Examples
 
-Please see [the examples directory](./examples) for more. 
+Please see [the examples directory](./examples) for more.
 
 ### License
 
@@ -169,37 +169,37 @@ This project depends on third-party code which is subject to the licenses set fo
 
 ### Contributing
 
-Please see the [Contributing Guide](./CONTRIBUTING.md). Note that you must sign the [CLA](./CONTRIBUTOR_LICENSE_AGREEMENT.md).
+Please see the [Contributing Guide](./CONTRIBUTING.md).
 
 ### Caveats
 
 #### Mappings
 
-Note that even though Pydantic is perfectly happy with fields that hold mappings (e.g. dictionaries), because [GraphQL's type system doesn't have them](https://graphql.org/learn/schema/) those fields can't be exported to Graphene types. For instance, this will fail with an error `Don't know how to handle mappings in Graphene`: 
+Note that even though Pydantic is perfectly happy with fields that hold mappings (e.g. dictionaries), because [GraphQL's type system doesn't have them](https://graphql.org/learn/schema/) those fields can't be exported to Graphene types. For instance, this will fail with an error `Don't know how to handle mappings in Graphene`:
 
 ``` python
 import typing
 from graphene_pydantic import PydanticObjectType
 
 class Pet:
-  pass
+    pass
 
 class Person:
-  name: str
-  pets_by_name: typing.Dict[str, Pet]
-  
-class GraphQLPerson(PydanticObjectType):  
-  class Meta:
-    model = Person
+    name: str
+    pets_by_name: typing.Dict[str, Pet]
+
+class GraphQLPerson(PydanticObjectType):
+    class Meta:
+        model = Person
 ```
 
 However, note that if you use `exclude_fields` or `only_fields` to exclude those values, there won't be a problem:
 
 ``` python
 class GraphQLPerson(PydanticObjectType):
-  class Meta:
-    model = Person
-    exclude_fields = ("pets_by_name",)
+    class Meta:
+        model = Person
+        exclude_fields = ("pets_by_name",)
 ```
 
 #### Union types
diff --git a/examples/departments.py b/examples/departments.py
index f3e165e..47effbe 100644
--- a/examples/departments.py
+++ b/examples/departments.py
@@ -21,8 +21,8 @@ class SalaryModel(pydantic.BaseModel):
 
 
 class EmployeeModel(PersonModel):
-    hired_on: datetime.datetime = None
-    salary: T.Optional[SalaryModel]
+    hired_on: T.Optional[datetime.datetime] = None
+    salary: T.Optional[SalaryModel] = None
 
 
 class ManagerModel(EmployeeModel):
@@ -96,13 +96,13 @@ def resolve_list_departments(self, info):
                         salary=SalaryModel(rating="GS-9", amount=75000.23),
                         hired_on=datetime.datetime(2019, 1, 1, 15, 26),
                     ),
-                    EmployeeModel(id=uuid.uuid4(), name="Derek"),
+                    EmployeeModel(id=uuid.uuid4(), name="Derek", salary=None),
                 ],
             )
         ]
 
 
-if __name__ == "__main__":
+def main():
     schema = graphene.Schema(query=Query)
     query = """
         query {
@@ -128,7 +128,10 @@ def resolve_list_departments(self, info):
         }
     }
     """
-    result = schema.execute(query)
+    return schema.execute(query)
+
 
+if __name__ == "__main__":
+    result = main()
     print(result.errors)
     print(json.dumps(result.data, indent=2))
diff --git a/graphene_pydantic/converters.py b/graphene_pydantic/converters.py
index 53c422f..1e3297c 100644
--- a/graphene_pydantic/converters.py
+++ b/graphene_pydantic/converters.py
@@ -2,51 +2,49 @@
 import collections.abc
 import datetime
 import decimal
-import inspect
 import enum
+import inspect
 import sys
 import typing as T
 import uuid
+from typing import Type, get_origin
 
+import graphene
 from graphene import (
-    UUID,
     Boolean,
     Enum,
     Field,
     Float,
+    ID,
     InputField,
     Int,
+    JSONString,
     List,
     String,
+    UUID,
     Union,
 )
 from graphene.types.base import BaseType
 from graphene.types.datetime import Date, DateTime, Time
 from pydantic import BaseModel
-from pydantic.fields import ModelField
-from pydantic.typing import evaluate_forwardref
+from pydantic.fields import FieldInfo
+from pydantic_core import PydanticUndefined
 
-from .registry import Registry
-from .util import construct_union_class_name
+from .registry import Placeholder, Registry
+from .util import construct_union_class_name, evaluate_forward_ref
 
-from pydantic import fields
+PYTHON10 = sys.version_info >= (3, 10)
+if PYTHON10:
+    from types import UnionType
 
-SHAPE_SINGLETON = (fields.SHAPE_SINGLETON,)
-SHAPE_SEQUENTIAL = (
-    fields.SHAPE_LIST,
-    fields.SHAPE_TUPLE,
-    fields.SHAPE_TUPLE_ELLIPSIS,
-    fields.SHAPE_SEQUENCE,
-    fields.SHAPE_SET,
-)
+GRAPHENE2 = graphene.VERSION[0] < 3
 
-if hasattr(fields, "SHAPE_DICT"):
-    SHAPE_MAPPING = T.cast(
-        T.Tuple, (fields.SHAPE_MAPPING, fields.SHAPE_DICT, fields.SHAPE_DEFAULTDICT)
-    )
-else:
-    SHAPE_MAPPING = T.cast(T.Tuple, (fields.SHAPE_MAPPING,))
+try:
+    from bson import ObjectId
 
+    BSON_OBJECT_ID_SUPPORTED = True
+except ImportError:
+    BSON_OBJECT_ID_SUPPORTED = False
 
 try:
     from graphene.types.decimal import Decimal as GrapheneDecimal
@@ -56,7 +54,6 @@
     # graphene 2.1.5+ is required for Decimals
     DECIMAL_SUPPORTED = False
 
-
 NONE_TYPE = None.__class__  # need to do this because mypy complains about type(None)
 
 
@@ -77,7 +74,7 @@ def _get_field(root, _info):
 
 
 def convert_pydantic_input_field(
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
@@ -87,26 +84,29 @@ def convert_pydantic_input_field(
     Convert a Pydantic model field into a Graphene type field that we can add
     to the generated Graphene data model type.
     """
-    declared_type = getattr(field, "type_", None)
+    declared_type = getattr(field, "annotation", None)
     field_kwargs.setdefault(
-        "type_",
+        "type" if GRAPHENE2 else "type_",
         convert_pydantic_type(
             declared_type, field, registry, parent_type=parent_type, model=model
         ),
     )
-    field_kwargs.setdefault("required", field.required)
-    field_kwargs.setdefault("default_value", field.default)
+    field_kwargs.setdefault("required", field.is_required())
+    field_kwargs.setdefault(
+        "default_value", None if field.default is PydanticUndefined else field.default
+    )
     # TODO: find a better way to get a field's description. Some ideas include:
     # - hunt down the description from the field's schema, or the schema
     #   from the field's base model
     # - maybe even (Sphinx-style) parse attribute documentation
-    field_kwargs.setdefault("description", field.field_info.description)
+    field_kwargs.setdefault("description", field.description)
 
     return InputField(**field_kwargs)
 
 
 def convert_pydantic_field(
-    field: ModelField,
+    name: str,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
@@ -116,35 +116,67 @@ def convert_pydantic_field(
     Convert a Pydantic model field into a Graphene type field that we can add
     to the generated Graphene data model type.
     """
-    declared_type = getattr(field, "type_", None)
+    declared_type = getattr(field, "annotation", None)
+
+    # Convert Python 10 UnionType to T.Union
+    if PYTHON10:
+        is_union_type = (
+            get_origin(declared_type) is T.Union
+            or get_origin(declared_type) is UnionType
+        )
+    else:
+        is_union_type = get_origin(declared_type) is T.Union
+
+    if is_union_type:
+        declared_type = T.Union[declared_type.__args__]
+
     field_kwargs.setdefault(
-        "type",
+        "type" if GRAPHENE2 else "type_",
         convert_pydantic_type(
             declared_type, field, registry, parent_type=parent_type, model=model
         ),
     )
-    field_kwargs.setdefault("required", field.required)
-    field_kwargs.setdefault("default_value", field.default)
+    field_kwargs.setdefault(
+        "required",
+        field.is_required()
+        or (
+            type(field.default) is not PydanticUndefined
+            and getattr(declared_type, "_name", "") != "Optional"
+            and not is_union_type
+        ),
+    )
+    field_kwargs.setdefault(
+        "default_value", None if field.default is PydanticUndefined else field.default
+    )
+    if field.alias:
+        field_kwargs.setdefault("name", field.alias)
     # TODO: find a better way to get a field's description. Some ideas include:
     # - hunt down the description from the field's schema, or the schema
     #   from the field's base model
     # - maybe even (Sphinx-style) parse attribute documentation
-    field_kwargs.setdefault("description", field.field_info.description)
+    field_kwargs.setdefault("description", field.description)
+
+    # Handle Graphene 2 and 3
+    field_type = field_kwargs.pop("type", field_kwargs.pop("type_", None))
+    if field_type is None:
+        raise ValueError("No field type could be determined.")
 
-    # Somehow, this happens
-    if "type_" not in field_kwargs and "type" in field_kwargs:
-        field_kwargs["type_"] = field_kwargs.pop("type")
+    resolver_function = getattr(parent_type, "resolve_" + name, None)
+    if resolver_function and callable(resolver_function):
+        field_resolver = resolver_function
+    else:
+        field_resolver = get_attr_resolver(name)
 
-    return Field(resolver=get_attr_resolver(field.name), **field_kwargs)
+    return Field(field_type, resolver=field_resolver, **field_kwargs)
 
 
 def convert_pydantic_type(
     type_: T.Type,
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
-) -> BaseType:  # noqa: C901
+) -> T.Union[Type[T.Union[BaseType, List]], Placeholder]:  # noqa: C901
     """
     Convert a Pydantic type to a Graphene Field type, including not just the
     native Python type but any additional metadata (e.g. shape) that Pydantic
@@ -153,26 +185,30 @@ def convert_pydantic_type(
     graphene_type = find_graphene_type(
         type_, field, registry, parent_type=parent_type, model=model
     )
-    if field.shape in SHAPE_SINGLETON:
-        return graphene_type
-    elif field.shape in SHAPE_SEQUENTIAL:
-        # TODO: _should_ Sets remain here?
-        return List(graphene_type)
-    elif field.shape in SHAPE_MAPPING:
+    field_type = getattr(field.annotation, "__origin__", None)
+    if field_type == map:  # SHAPE_MAPPING
         raise ConversionError("Don't know how to handle mappings in Graphene.")
 
+    return graphene_type
+
 
 def find_graphene_type(
     type_: T.Type,
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
-) -> BaseType:  # noqa: C901
+) -> T.Union[Type[T.Union[BaseType, List]], Placeholder]:  # noqa: C901
     """
     Map a native Python type to a Graphene-supported Field type, where possible,
     throwing an error if we don't know what to map it to.
     """
+
+    # Convert Python 10 UnionType to T.Union
+    if PYTHON10:
+        if isinstance(type_, UnionType):
+            type_ = T.Union[type_.__args__]
+
     if type_ == uuid.UUID:
         return UUID
     elif type_ in (str, bytes):
@@ -187,6 +223,10 @@ def find_graphene_type(
         return Boolean
     elif type_ == float:
         return Float
+    elif BSON_OBJECT_ID_SUPPORTED and type_ == ObjectId:
+        return ID
+    elif type_ == dict:
+        return JSONString
     elif type_ == decimal.Decimal:
         return GrapheneDecimal if DECIMAL_SUPPORTED else Float
     elif type_ == int:
@@ -219,12 +259,13 @@ def find_graphene_type(
         if not sibling:
             raise ConversionError(
                 "Don't know how to convert the Pydantic field "
-                f"{field!r} ({field.type_}), could not resolve "
+                f"{field!r} ({field.annotation}), could not resolve "
                 "the forward reference. Did you call `resolve_placeholders()`? "
                 "See the README for more on forward references."
             )
+
         module_ns = sys.modules[sibling.__module__].__dict__
-        resolved = evaluate_forwardref(type_, module_ns, None)
+        resolved = evaluate_forward_ref(type_, module_ns, None)
         # TODO: make this behavior optional. maybe this is a place for the TypeOptions to play a role?
         if registry:
             registry.add_placeholder_for_model(resolved)
@@ -233,24 +274,40 @@ def find_graphene_type(
         )
     elif issubclass(type_, enum.Enum):
         return Enum.from_enum(type_)
-    elif issubclass(type_, str):
+    elif issubclass(type_, (str, bytes)):
         return String
+    elif issubclass(type_, datetime.datetime):
+        return DateTime
+    elif issubclass(type_, datetime.date):
+        return Date
+    elif issubclass(type_, datetime.time):
+        return Time
+    elif issubclass(type_, bool):
+        return Boolean
+    elif issubclass(type_, float):
+        return Float
+    elif issubclass(type_, decimal.Decimal):
+        return GrapheneDecimal if DECIMAL_SUPPORTED else Float
+    elif issubclass(type_, int):
+        return Int
+    elif issubclass(type_, (tuple, list, set)):
+        return List
     else:
         raise ConversionError(
-            f"Don't know how to convert the Pydantic field {field!r} ({field.type_})"
+            f"Don't know how to convert the Pydantic field {field!r} ({field.annotation})"
         )
 
 
 def convert_generic_python_type(
     type_: T.Type,
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
-) -> BaseType:  # noqa: C901
+) -> T.Union[Type[T.Union[BaseType, List]], Placeholder]:  # noqa: C901
     """
     Convert annotated Python generic types into the most appropriate Graphene
-    Field type -- e.g. turn `typing.Union` into a Graphene Union.
+    Field type -- e.g., turn `typing.Union` into a Graphene Union.
     """
     origin = type_.__origin__
     if not origin:  # pragma: no cover  # this really should be impossible
@@ -267,19 +324,15 @@ def convert_generic_python_type(
         return convert_literal_type(
             type_, field, registry, parent_type=parent_type, model=model
         )
-    elif (
-        origin
-        in (
-            T.Tuple,
-            T.List,
-            T.Set,
-            T.Collection,
-            T.Iterable,
-            list,
-            set,
-        )
-        or issubclass(origin, collections.abc.Sequence)
-    ):
+    elif origin in (
+        T.Tuple,
+        T.List,
+        T.Set,
+        T.Collection,
+        T.Iterable,
+        list,
+        set,
+    ) or issubclass(origin, collections.abc.Sequence):
         # TODO: find a better way of divining that the origin is sequence-like
         inner_types = getattr(type_, "__args__", [])
         if not inner_types:  # pragma: no cover  # this really should be impossible
@@ -297,14 +350,14 @@ def convert_generic_python_type(
     elif origin in (T.Dict, T.Mapping, collections.OrderedDict, dict) or issubclass(
         origin, collections.abc.Mapping
     ):
-        raise ConversionError("Don't know how to handle mappings in Graphene")
+        raise ConversionError("Don't know how to handle mappings in Graphene.")
     else:
         raise ConversionError(f"Don't know how to handle {type_} (generic: {origin})")
 
 
 def convert_union_type(
     type_: T.Type,
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
@@ -337,11 +390,11 @@ def convert_union_type(
 
 def convert_literal_type(
     type_: T.Type,
-    field: ModelField,
+    field: FieldInfo,
     registry: Registry,
     parent_type: T.Type = None,
     model: T.Type[BaseModel] = None,
-):
+) -> T.Union[Type[T.Union[BaseType, List]], Placeholder]:
     """
     Convert an annotated Python Literal type into a Graphene Scalar or Union of Scalars.
     """
diff --git a/graphene_pydantic/inputobjecttype.py b/graphene_pydantic/inputobjecttype.py
index a34cfee..95f444d 100644
--- a/graphene_pydantic/inputobjecttype.py
+++ b/graphene_pydantic/inputobjecttype.py
@@ -36,14 +36,24 @@ def construct_fields(
     if exclude_fields:
         excluded = exclude_fields
     elif only_fields:
-        excluded = tuple(k for k in model.__fields__ if k not in only_fields)
+        excluded = tuple(k for k in model.model_fields if k not in only_fields)
 
     fields_to_convert = (
-        (k, v) for k, v in model.__fields__.items() if k not in excluded
+        (k, v) for k, v in model.model_fields.items() if k not in excluded
     )
 
     fields = {}
     for name, field in fields_to_convert:
+        # Graphql does not accept union as input. Refer https://github.com/graphql/graphql-spec/issues/488
+        annotation = getattr(field, "annotation", None)
+        if isinstance(annotation, str) or isinstance(annotation, int):
+            union_types = field.annotation.__args__
+            if type(None) not in union_types or len(union_types) > 2:
+                continue
+            # But str|None or Union[str, None] is valid input equivalent to Optional[str]
+            base_type = list(filter(lambda x: x is not type(None), union_types)).pop()
+            field.annotation = T.Optional[base_type]
+
         converted = convert_pydantic_input_field(
             field, registry, parent_type=obj_type, model=model
         )
@@ -127,11 +137,11 @@ def resolve_placeholders(cls):
         meta = cls._meta
         fields_to_update = {}
         for name, field in meta.fields.items():
-            target_type = field._type
-            if hasattr(target_type, "_of_type"):
-                target_type = target_type._of_type
+            target_type = field.type
+            while hasattr(target_type, "of_type"):
+                target_type = target_type.of_type
             if isinstance(target_type, Placeholder):
-                pydantic_field = meta.model.__fields__[name]
+                pydantic_field = meta.model.model_fields[name]
                 graphene_field = convert_pydantic_input_field(
                     pydantic_field,
                     meta.registry,
diff --git a/graphene_pydantic/objecttype.py b/graphene_pydantic/objecttype.py
index d4d484f..91f6bbd 100644
--- a/graphene_pydantic/objecttype.py
+++ b/graphene_pydantic/objecttype.py
@@ -6,6 +6,7 @@
 from graphene.types.utils import yank_fields_from_attrs
 
 from .converters import convert_pydantic_field
+from .inputobjecttype import PydanticInputObjectType
 from .registry import Placeholder, Registry, get_global_registry
 
 
@@ -35,16 +36,16 @@ def construct_fields(
     if exclude_fields:
         excluded = exclude_fields
     elif only_fields:
-        excluded = tuple(k for k in model.__fields__ if k not in only_fields)
+        excluded = tuple(k for k in model.model_fields if k not in only_fields)
 
     fields_to_convert = (
-        (k, v) for k, v in model.__fields__.items() if k not in excluded
+        (k, v) for k, v in model.model_fields.items() if k not in excluded
     )
 
     fields = {}
     for name, field in fields_to_convert:
         converted = convert_pydantic_field(
-            field, registry, parent_type=obj_type, model=model
+            name, field, registry, parent_type=obj_type, model=model
         )
         registry.register_object_field(obj_type, name, field)
         fields[name] = converted
@@ -139,12 +140,13 @@ def resolve_placeholders(cls):
         meta = cls._meta
         fields_to_update = {}
         for name, field in meta.fields.items():
-            target_type = field._type
-            if hasattr(target_type, "_of_type"):
-                target_type = target_type._of_type
+            target_type = field.type
+            while hasattr(target_type, "of_type"):
+                target_type = target_type.of_type
             if isinstance(target_type, Placeholder):
-                pydantic_field = meta.model.__fields__[name]
+                pydantic_field = meta.model.model_fields[name]
                 graphene_field = convert_pydantic_field(
+                    name,
                     pydantic_field,
                     meta.registry,
                     parent_type=cls,
@@ -154,3 +156,9 @@ def resolve_placeholders(cls):
                 meta.registry.register_object_field(cls, name, pydantic_field)
         # update the graphene side of things
         meta.fields.update(fields_to_update)
+
+    @classmethod
+    def is_type_of(cls, root, info) -> bool:
+        if isinstance(root, PydanticInputObjectType):
+            return type(root._meta.model) is type(cls._meta.model)  # noqa: E721
+        return isinstance(root, cls._meta.model)
diff --git a/graphene_pydantic/registry.py b/graphene_pydantic/registry.py
index d7bb232..362f2a2 100644
--- a/graphene_pydantic/registry.py
+++ b/graphene_pydantic/registry.py
@@ -2,8 +2,9 @@
 from collections import defaultdict
 from typing import Dict, Generic, Optional, Type, TypeVar, Union
 
+from graphene.types.base import BaseType
 from pydantic import BaseModel
-from pydantic.fields import ModelField
+from pydantic.fields import FieldInfo
 
 if typing.TYPE_CHECKING:  # pragma: no cover
     from graphene_pydantic import PydanticInputObjectType  # noqa: F401
@@ -39,9 +40,9 @@ class Registry(Generic[T]):
 
     def __init__(self, required_obj_type: ObjectType):
         self._required_obj_type: ObjectType = required_obj_type
-        self._registry: Dict[ModelType, Output] = {}
+        self._registry: Dict[ModelType, Union[Type[BaseType], Placeholder]] = {}
         self._registry_object_fields: Dict[
-            ObjectType, Dict[str, ModelField]
+            ObjectType, Dict[str, FieldInfo]
         ] = defaultdict(dict)
 
     def register(self, obj_type: ObjectType):
@@ -52,7 +53,9 @@ def register(self, obj_type: ObjectType):
         ), "Can't register models linked to another Registry"
         self._registry[obj_type._meta.model] = obj_type
 
-    def get_type_for_model(self, model: ModelType) -> Optional[Output]:
+    def get_type_for_model(
+        self, model: ModelType
+    ) -> Union[Type[BaseType], Placeholder]:
         return self._registry.get(model)
 
     def add_placeholder_for_model(self, model: ModelType):
@@ -61,7 +64,7 @@ def add_placeholder_for_model(self, model: ModelType):
         self._registry[model] = Placeholder(model)
 
     def register_object_field(
-        self, obj_type: ObjectType, field_name: str, obj_field: ModelField
+        self, obj_type: ObjectType, field_name: str, obj_field: FieldInfo
     ):
         assert_is_correct_type(obj_type, self._required_obj_type)
 
@@ -71,7 +74,7 @@ def register_object_field(
 
     def get_object_field_for_graphene_field(
         self, obj_type: ObjectType, field_name: str
-    ) -> Optional[ModelField]:
+    ) -> Optional[FieldInfo]:
         return self._registry_object_fields.get(obj_type, {}).get(field_name)
 
 
diff --git a/graphene_pydantic/util.py b/graphene_pydantic/util.py
index 725b940..535106d 100644
--- a/graphene_pydantic/util.py
+++ b/graphene_pydantic/util.py
@@ -1,4 +1,10 @@
+import sys
 import typing as T
+from typing import (
+    Any,
+    ForwardRef,
+    cast,
+)  # type: ignore
 
 
 def construct_union_class_name(inner_types: T.Sequence[T.Type]) -> str:
@@ -10,3 +16,16 @@ def construct_union_class_name(inner_types: T.Sequence[T.Type]) -> str:
     caps_cased_names = "".join(n[0].upper() + n[1:] for n in type_names)
 
     return f"UnionOf{caps_cased_names}"
+
+
+if sys.version_info < (3, 9):
+
+    def evaluate_forward_ref(type_: ForwardRef, globalns: Any, localns: Any) -> Any:
+        return type_._evaluate(globalns, localns)
+
+else:
+
+    def evaluate_forward_ref(type_: ForwardRef, globalns: Any, localns: Any) -> Any:
+        # Even though it is the right signature for python 3.9, mypy complains with
+        # `error: Too many arguments for "_evaluate" of "ForwardRef"` hence the cast...
+        return cast(Any, type_)._evaluate(globalns, localns, set())
diff --git a/noxfile.py b/noxfile.py
new file mode 100644
index 0000000..8021922
--- /dev/null
+++ b/noxfile.py
@@ -0,0 +1,36 @@
+import sys
+from nox import parametrize, session
+
+
+@session
+@parametrize(
+    "pydantic",
+    (
+        (2, 0),
+        (2, 1),
+        (2, 2),
+        (2, 3),
+        (2, 4),
+        (2, 5),
+        (2, 6),
+        (2, 7),
+        (2, 8),
+        (2, 9),
+        (2, 10),
+    ),
+)
+@parametrize("graphene", ("2.1.8", "2.1.9", "3.0", "3.1", "3.2", "3.3", "3.4"))
+def tests(session, pydantic, graphene):
+    if sys.version_info > (3, 10) and pydantic in ((1, 7), (1, 8)):
+        return session.skip()
+    if sys.version_info > (3, 10) and graphene <= "3":
+        return session.skip()
+    if sys.version_info > (3, 11) and pydantic < (2, 9):
+        return session.skip()
+    pydantic_version_string = ".".join([str(n) for n in pydantic])
+    session.install(f"pydantic=={pydantic_version_string}")
+    session.install(f"graphene=={graphene}")
+    session.install("pytest", "pytest-cov", ".")
+    session.run(
+        "pytest", "-v", "tests/", "--cov-report=term-missing", "--cov=graphene_pydantic"
+    )
diff --git a/poetry.lock b/poetry.lock
index 93f73f7..c9f278d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,351 +1,666 @@
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+
 [[package]]
 name = "aniso8601"
 version = "9.0.1"
 description = "A library for parsing ISO 8601 strings."
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "aniso8601-9.0.1-py2.py3-none-any.whl", hash = "sha256:1d2b7ef82963909e93c4f24ce48d4de9e66009a21bf1c1e1c85bdd0812fe412f"},
+    {file = "aniso8601-9.0.1.tar.gz", hash = "sha256:72e3117667eedf66951bb2d93f4296a56b94b078a8a95905a052611fb3f1b973"},
+]
 
 [package.extras]
 dev = ["black", "coverage", "isort", "pre-commit", "pyenchant", "pylint"]
 
 [[package]]
-name = "aspy.yaml"
-version = "1.3.0"
-description = "A few extensions to pyyaml."
-category = "dev"
+name = "annotated-types"
+version = "0.5.0"
+description = "Reusable constraint types to use with typing.Annotated"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.7"
+files = [
+    {file = "annotated_types-0.5.0-py3-none-any.whl", hash = "sha256:58da39888f92c276ad970249761ebea80ba544b77acddaa1a4d6cf78287d45fd"},
+    {file = "annotated_types-0.5.0.tar.gz", hash = "sha256:47cdc3490d9ac1506ce92c7aaa76c579dc3509ff11e098fc867e5130ab7be802"},
+]
 
 [package.dependencies]
-pyyaml = "*"
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
+[[package]]
+name = "argcomplete"
+version = "3.1.2"
+description = "Bash tab completion for argparse"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "argcomplete-3.1.2-py3-none-any.whl", hash = "sha256:d97c036d12a752d1079f190bc1521c545b941fda89ad85d15afa909b4d1b9a99"},
+    {file = "argcomplete-3.1.2.tar.gz", hash = "sha256:d5d1e5efd41435260b8f85673b74ea2e883affcbec9f4230c582689e8e78251b"},
+]
+
+[package.extras]
+test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
 
 [[package]]
 name = "atomicwrites"
-version = "1.4.0"
+version = "1.4.1"
 description = "Atomic file writes."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
+]
 
 [[package]]
 name = "attrs"
-version = "21.4.0"
+version = "23.1.0"
 description = "Classes Without Boilerplate"
-category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
+    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+]
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
-docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "black"
-version = "21.12b0"
+version = "24.3.0"
 description = "The uncompromising code formatter."
-category = "dev"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.8"
+files = [
+    {file = "black-24.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7d5e026f8da0322b5662fa7a8e752b3fa2dac1c1cbc213c3d7ff9bdd0ab12395"},
+    {file = "black-24.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9f50ea1132e2189d8dff0115ab75b65590a3e97de1e143795adb4ce317934995"},
+    {file = "black-24.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2af80566f43c85f5797365077fb64a393861a3730bd110971ab7a0c94e873e7"},
+    {file = "black-24.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:4be5bb28e090456adfc1255e03967fb67ca846a03be7aadf6249096100ee32d0"},
+    {file = "black-24.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4f1373a7808a8f135b774039f61d59e4be7eb56b2513d3d2f02a8b9365b8a8a9"},
+    {file = "black-24.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:aadf7a02d947936ee418777e0247ea114f78aff0d0959461057cae8a04f20597"},
+    {file = "black-24.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c02e4ea2ae09d16314d30912a58ada9a5c4fdfedf9512d23326128ac08ac3d"},
+    {file = "black-24.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:bf21b7b230718a5f08bd32d5e4f1db7fc8788345c8aea1d155fc17852b3410f5"},
+    {file = "black-24.3.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:2818cf72dfd5d289e48f37ccfa08b460bf469e67fb7c4abb07edc2e9f16fb63f"},
+    {file = "black-24.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4acf672def7eb1725f41f38bf6bf425c8237248bb0804faa3965c036f7672d11"},
+    {file = "black-24.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c7ed6668cbbfcd231fa0dc1b137d3e40c04c7f786e626b405c62bcd5db5857e4"},
+    {file = "black-24.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:56f52cfbd3dabe2798d76dbdd299faa046a901041faf2cf33288bc4e6dae57b5"},
+    {file = "black-24.3.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:79dcf34b33e38ed1b17434693763301d7ccbd1c5860674a8f871bd15139e7837"},
+    {file = "black-24.3.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e19cb1c6365fd6dc38a6eae2dcb691d7d83935c10215aef8e6c38edee3f77abd"},
+    {file = "black-24.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65b76c275e4c1c5ce6e9870911384bff5ca31ab63d19c76811cb1fb162678213"},
+    {file = "black-24.3.0-cp38-cp38-win_amd64.whl", hash = "sha256:b5991d523eee14756f3c8d5df5231550ae8993e2286b8014e2fdea7156ed0959"},
+    {file = "black-24.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c45f8dff244b3c431b36e3224b6be4a127c6aca780853574c00faf99258041eb"},
+    {file = "black-24.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6905238a754ceb7788a73f02b45637d820b2f5478b20fec82ea865e4f5d4d9f7"},
+    {file = "black-24.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7de8d330763c66663661a1ffd432274a2f92f07feeddd89ffd085b5744f85e7"},
+    {file = "black-24.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:7bb041dca0d784697af4646d3b62ba4a6b028276ae878e53f6b4f74ddd6db99f"},
+    {file = "black-24.3.0-py3-none-any.whl", hash = "sha256:41622020d7120e01d377f74249e677039d20e6344ff5851de8a10f11f513bf93"},
+    {file = "black-24.3.0.tar.gz", hash = "sha256:a0c9c4a0771afc6919578cec71ce82a3e31e054904e7197deacbc9382671c41f"},
+]
 
 [package.dependencies]
-click = ">=7.1.2"
+click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
-pathspec = ">=0.9.0,<1"
+packaging = ">=22.0"
+pathspec = ">=0.9.0"
 platformdirs = ">=2"
-tomli = ">=0.2.6,<2.0.0"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
-typing-extensions = [
-    {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
-    {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
-]
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-python2 = ["typed-ast (>=1.4.3)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "cfgv"
 version = "3.3.1"
 description = "Validate configuration and produce human readable error messages."
-category = "dev"
 optional = false
 python-versions = ">=3.6.1"
+files = [
+    {file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
+    {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
+]
 
 [[package]]
 name = "click"
-version = "8.0.3"
+version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
+files = [
+    {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
+    {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
+]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "colorama"
-version = "0.4.4"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+files = [
+    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
+    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
+]
+
+[[package]]
+name = "colorlog"
+version = "6.7.0"
+description = "Add colours to the output of Python's logging module."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "colorlog-6.7.0-py2.py3-none-any.whl", hash = "sha256:0d33ca236784a1ba3ff9c532d4964126d8a2c44f1f0cb1d2b0728196f512f662"},
+    {file = "colorlog-6.7.0.tar.gz", hash = "sha256:bd94bd21c1e13fac7bd3153f4bc3a7dc0eb0974b8bc2fdf1a989e474f6e582e5"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
 name = "coverage"
-version = "6.2"
+version = "7.2.7"
 description = "Code coverage measurement for Python"
-category = "dev"
 optional = false
-python-versions = ">=3.6"
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 packaging = "*"
 pluggy = ">=0.12,<2.0"
@@ -359,9 +674,12 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 name = "pytest-cov"
 version = "2.7.1"
 description = "Pytest plugin for measuring coverage."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
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+]
 
 [package.dependencies]
 coverage = ">=4.4"
@@ -372,420 +690,134 @@ testing = ["fields", "hunter", "process-tests (==2.0.2)", "six", "virtualenv"]
 
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-
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 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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-    {file = "virtualenv-20.13.0.tar.gz", hash = "sha256:d8458cf8d59d0ea495ad9b34c2599487f8a7772d796f9910858376d1600dd2dd"},
-]
-zipp = [
-    {file = "zipp-3.7.0-py3-none-any.whl", hash = "sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"},
-    {file = "zipp-3.7.0.tar.gz", hash = "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d"},
-]
+content-hash = "8f050cd6fce164a7e7f5999ecacd74720ec5b9c6c70d09c2d7e3bcf9349b0330"
diff --git a/pyproject.toml b/pyproject.toml
index 3925c9d..4b5fd29 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,43 +1,40 @@
 [tool.poetry]
 name = "graphene_pydantic"
-version = "0.3.0"
+version = "0.6.1"
 description = "Graphene Pydantic integration"
 readme = "README.md"
 repository = "https://github.com/graphql-python/graphene-pydantic"
 authors = [
-  "Rami Chowdhury <rami@upside.com>"
+  "Rami Chowdhury <rami.chowdhury@gmail.com>",
+  "Dan Riggs <danielriggs@gmail.com>",
 ]
 license = "Apache-2.0"
 classifiers = [
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Developers",
     "Topic :: Software Development :: Libraries",
-    "Programming Language :: Python :: 3.6",
-    "Programming Language :: Python :: 3.7",
     "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: Implementation :: PyPy",
 ]
 keywords = ["api", "graphql", "protocol", "rest", "relay", "graphene", "pydantic", "model"]
 
 [tool.poetry.dependencies]
-python = "^3.7"
-# To keep things simple, we only support newer versions of Graphene & Pydantic
-graphene = "~=3.0"
-pydantic = [
-    { version = ">=1.0,<2.0", python = ">3.6,<3.10" },
-    { version = ">=1.9,<2.0", python = "~3.10" }
-]
+python = "^3.8"
+graphene = ">=2.1.8"
+pydantic = ">=2.0"
 
-[tool.poetry.dev-dependencies]
+[tool.poetry.group.dev.dependencies]
 pytest = "~6.2"
 pytest-cov = "~2.7.1"
-tox = "~3.12.0"  # sync with tox.ini
-mypy = "0.901"
-black = "21.12b0"
-pre-commit = "~1.17.0"
+mypy = "^1.4.1"
+black = "24.3.0"
+pre-commit = "^2.9.2"
+nox = "^2023.4.22"
 
 [build-system]
-requires = ["poetry>=1.0"]
+requires = ["poetry>=1.5"]
 build-backend = "poetry.masonry.api"
diff --git a/tests/test_converters.py b/tests/test_converters.py
index 1b0f1d9..6c18450 100644
--- a/tests/test_converters.py
+++ b/tests/test_converters.py
@@ -1,30 +1,32 @@
-import sys
 import datetime
 import decimal
 import enum
+import sys
 import typing as T
 import uuid
+from typing import Optional
 
 import graphene
 import graphene.types
-import pydantic
 import pytest
-from pydantic import BaseModel, create_model
+from pydantic import BaseModel
+from pydantic import create_model
 
 import graphene_pydantic.converters as converters
 from graphene_pydantic.converters import ConversionError, convert_pydantic_field
 from graphene_pydantic.objecttype import PydanticObjectType
-from graphene_pydantic.registry import get_global_registry, Placeholder
+from graphene_pydantic.registry import Placeholder, get_global_registry
 
 
 def _get_field_from_spec(name, type_spec_or_default):
     kwargs = {name: type_spec_or_default}
     m = create_model("model", **kwargs)
-    return m.__fields__[name]
+    return m.model_fields[name]
 
 
 def _convert_field_from_spec(name, type_spec_or_default):
     return convert_pydantic_field(
+        name,
         _get_field_from_spec(name, type_spec_or_default),
         get_global_registry(PydanticObjectType),
     )
@@ -40,12 +42,12 @@ def test_required_string():
 
 
 def test_default_values():
-    field = _convert_field_from_spec("s", "hi")
+    field = _convert_field_from_spec("s", (str, "hi"))
     assert field is not None
     assert isinstance(field, graphene.Field)
-    # there's a default value, so it's not required
-    assert not isinstance(field.type, graphene.NonNull)
-    assert field.type == graphene.String
+    # there's a default value, so it never null
+    assert isinstance(field.type, graphene.NonNull)
+    assert field.type.of_type == graphene.String
     assert field.default_value == "hi"
 
 
@@ -65,33 +67,71 @@ def test_default_values():
 def test_builtin_scalars(input, expected):
     field = _convert_field_from_spec("attr", input)
     assert isinstance(field, graphene.Field)
-    assert field.type == expected
+    assert field.type.of_type == expected
     assert field.default_value == input[1]
 
 
-def test_union():
+def test_union_optional():
     field = _convert_field_from_spec("attr", (T.Union[int, float, str], 5.0))
     assert issubclass(field.type, graphene.Union)
     assert field.default_value == 5.0
     assert field.type.__name__.startswith("UnionOf")
 
 
-if sys.version_info >= (3, 8):
-    # Python < 3.8 does not support typing.Literal
+@pytest.mark.parametrize(
+    "input",
+    [
+        (T.Union[int, float, str], ...),
+        (T.Union[int, float, str, None], ...),
+        (Optional[T.Union[int, float, str]], ...),
+        (Optional[T.Union[int, float, None]], ...),
+    ],
+)
+def test_union(input):
+    field = _convert_field_from_spec("attr", input)
+    assert isinstance(field.type, graphene.NonNull)
+    assert field.default_value == None
+    assert field.type.of_type.__name__.startswith("UnionOf")
+
+
+if sys.version_info >= (3, 10):
+    # Python < 3.10 does not support typing.Literal except as a
+    # _SpecialGenericAlias, which Pydantic doesn't like
 
     def test_literal():
         field = _convert_field_from_spec(
             "attr", (T.Literal["literal1", "literal2", 3], 3)
         )
-        assert issubclass(field.type, graphene.Union)
+        assert issubclass(field.type.of_type, graphene.Union)
         assert field.default_value == 3
-        assert field.type.__name__.startswith("UnionOf")
+        assert field.type.of_type.__name__.startswith("UnionOf")
 
     def test_literal_singleton():
         field = _convert_field_from_spec("attr", (T.Literal["literal1"], "literal1"))
-        assert issubclass(field.type, graphene.String)
+        assert issubclass(field.type.of_type, graphene.String)
         assert field.default_value == "literal1"
-        assert field.type == graphene.String
+        assert field.type.of_type == graphene.String
+
+    def test_union_pipe_optional():
+        field = _convert_field_from_spec("attr", (int | float | str, 5.0))
+        assert issubclass(field.type, graphene.Union)
+        assert field.default_value == 5.0
+        assert field.type.__name__.startswith("UnionOf")
+
+    @pytest.mark.parametrize(
+        "input",
+        [
+            (int | float | str, ...),
+            (int | float | str | None, ...),
+            (Optional[int | float | str], ...),
+            (Optional[int | float | None], ...),
+        ],
+    )
+    def test_union_pipe(input):
+        field = _convert_field_from_spec("attr", input)
+        assert isinstance(field.type, graphene.NonNull)
+        assert field.default_value == None
+        assert field.type.of_type.__name__.startswith("UnionOf")
 
 
 def test_mapping():
@@ -103,34 +143,34 @@ def test_mapping():
 def test_decimal(monkeypatch):
     monkeypatch.setattr(converters, "DECIMAL_SUPPORTED", True)
     field = _convert_field_from_spec("attr", (decimal.Decimal, decimal.Decimal(1.25)))
-    assert field.type.__name__ == "Decimal"
+    assert field.type.of_type.__name__ == "Decimal"
 
     monkeypatch.setattr(converters, "DECIMAL_SUPPORTED", False)
     field = _convert_field_from_spec("attr", (decimal.Decimal, decimal.Decimal(1.25)))
-    assert field.type.__name__ == "Float"
+    assert field.type.of_type.__name__ == "Float"
 
 
 def test_iterables():
     field = _convert_field_from_spec("attr", (T.List[int], [1, 2]))
-    assert isinstance(field.type, graphene.types.List)
+    assert isinstance(field.type.of_type, graphene.types.List)
 
     field = _convert_field_from_spec("attr", (list, [1, 2]))
-    assert field.type == graphene.types.List
+    assert field.type.of_type == graphene.types.List
 
     field = _convert_field_from_spec("attr", (T.Set[int], {1, 2}))
-    assert isinstance(field.type, graphene.types.List)
+    assert isinstance(field.type.of_type, graphene.types.List)
 
     field = _convert_field_from_spec("attr", (set, {1, 2}))
-    assert field.type == graphene.types.List
+    assert field.type.of_type == graphene.types.List
 
     field = _convert_field_from_spec("attr", (T.Tuple[int, float], (1, 2.2)))
-    assert isinstance(field.type, graphene.types.List)
+    assert isinstance(field.type.of_type, graphene.types.List)
 
     field = _convert_field_from_spec("attr", (T.Tuple[int, ...], (1, 2.2)))
-    assert isinstance(field.type, graphene.types.List)
+    assert isinstance(field.type.of_type, graphene.types.List)
 
     field = _convert_field_from_spec("attr", (tuple, (1, 2)))
-    assert field.type == graphene.types.List
+    assert field.type.of_type == graphene.types.List
 
     field = _convert_field_from_spec("attr", (T.Union[None, int], 1))
     assert field.type == graphene.types.Int
@@ -142,8 +182,8 @@ class Color(enum.Enum):
         GREEN = 2
 
     field = _convert_field_from_spec("attr", (Color, Color.RED))
-    assert field.type.__name__ == "Color"
-    assert field.type._meta.enum == Color
+    assert field.type.of_type.__name__ == "Color"
+    assert field.type.of_type._meta.enum == Color
 
 
 def test_existing_model():
@@ -157,12 +197,15 @@ class Meta:
             model = Foo
 
     field = _convert_field_from_spec("attr", (Foo, Foo(name="bar")))
-    assert field.type == GraphFoo
+    assert field.type.of_type == GraphFoo
 
 
 def test_unresolved_placeholders():
     # no errors should be raised here -- instead a placeholder is created
-    field = _convert_field_from_spec("attr", (create_model("Model", size=int), None))
+    field = _convert_field_from_spec(
+        "attr", (create_model("Model", size=(int, ...)), None)
+    )
+    assert type(field.type.of_type) is Placeholder
     assert any(
         isinstance(x, Placeholder)
         for x in get_global_registry(PydanticObjectType)._registry.values()
@@ -176,7 +219,7 @@ class NodeModel(BaseModel):
         # nodes: Union['NodeModel', None]
         nodes: T.Optional["NodeModel"]
 
-    NodeModel.update_forward_refs()
+    NodeModel.model_rebuild()
 
     class NodeModelSchema(PydanticObjectType):
         class Meta:  # noqa: too-few-public-methods
diff --git a/tests/test_examples/__init__.py b/tests/test_examples/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_examples/test_departments.py b/tests/test_examples/test_departments.py
new file mode 100644
index 0000000..ae45efd
--- /dev/null
+++ b/tests/test_examples/test_departments.py
@@ -0,0 +1,30 @@
+from examples import departments
+
+
+def test_departments():
+    result = departments.main()
+    assert not result.errors
+
+    deps = result.data["listDepartments"]
+    assert len(deps) == 1
+
+    employees = deps[0]["employees"]
+    assert len(employees) == 3
+
+    def employee_by_name(employees, name):
+        return [e for e in employees if e["name"] == name][0]
+
+    jason = employee_by_name(employees, "Jason")
+    carmen = employee_by_name(employees, "Carmen")
+    derek = employee_by_name(employees, "Derek")
+
+    # Jason is a manager
+    assert jason["teamSize"] == 2
+    assert carmen.get("teamSize") is None
+
+    # some sanity checks on optional fields,
+    # knowing what the test data is
+    assert jason.get("hiredOn") is None
+    assert carmen.get("hiredOn") is not None
+    assert carmen["salary"]["rating"] == "GS-9"
+    assert derek["salary"] is None
diff --git a/tests/test_forward_refs.py b/tests/test_forward_refs.py
index 2511d61..0021c05 100644
--- a/tests/test_forward_refs.py
+++ b/tests/test_forward_refs.py
@@ -4,11 +4,10 @@
 
 import graphene
 import pydantic
+import pytest
 
 from graphene_pydantic import PydanticObjectType
 
-import pytest
-
 if sys.version_info < (3, 7):
     pytest.skip("ForwardRefs feature requires Python 3.7+", allow_module_level=True)
 
@@ -17,8 +16,8 @@ class FooModel(pydantic.BaseModel):
     id: uuid.UUID
     name: str
     bar: "BarModel" = None
-    baz: T.Optional["BazModel"]
-    some_bars: T.Optional[T.List["BarModel"]]
+    baz: T.Optional["BazModel"] = None
+    some_bars: T.Optional[T.List["BarModel"]] = None
 
 
 class BazModel(pydantic.BaseModel):
@@ -33,7 +32,7 @@ class BarModel(pydantic.BaseModel):
 
 
 # deliberately in this order
-BazModel.update_forward_refs()
+BazModel.model_rebuild()
 
 
 class Foo(PydanticObjectType):
@@ -52,7 +51,7 @@ class Meta:
 
 
 # yes this is deliberately after too
-FooModel.update_forward_refs()
+FooModel.model_rebuild()
 
 Foo.resolve_placeholders()
 Bar.resolve_placeholders()
diff --git a/tests/test_graphene.py b/tests/test_graphene.py
index 5e700ba..8dfa382 100644
--- a/tests/test_graphene.py
+++ b/tests/test_graphene.py
@@ -1,8 +1,8 @@
-import uuid
-from typing import List, Optional
+from typing import List
 
 import graphene
 import pydantic
+from pydantic import TypeAdapter
 
 from graphene_pydantic import PydanticInputObjectType, PydanticObjectType
 
@@ -39,7 +39,7 @@ class Query(graphene.ObjectType):
     def resolve_list_foo_bars(parent, info, match: FooBarInput = None):
         if match is None:
             return foo_bars
-        return [f for f in foo_bars if f == match]
+        return [f for f in foo_bars if f == FooBar.model_validate(match)]
 
 
 class CreateFooBar(graphene.Mutation):
@@ -50,7 +50,7 @@ class Arguments:
 
     @staticmethod
     def mutate(root, info, data: FooBarInput):
-        foo_bars.append(pydantic.parse_obj_as(FooBar, data))
+        foo_bars.append(TypeAdapter(FooBar).validate_python(data))
         return data
 
 
@@ -75,7 +75,10 @@ def test_query():
 
     assert result.errors is None
     assert result.data is not None
-    assert pydantic.parse_obj_as(List[FooBar], result.data["listFooBars"]) == foo_bars
+    assert (
+        TypeAdapter(List[FooBar]).validate_python(result.data["listFooBars"])
+        == foo_bars
+    )
 
 
 def test_query_with_match():
@@ -95,7 +98,10 @@ def test_query_with_match():
 
     assert result.errors is None
     assert result.data is not None
-    assert pydantic.parse_obj_as(List[FooBar], result.data["listFooBars"]) == foo_bars
+    assert (
+        TypeAdapter(List[FooBar]).validate_python(result.data["listFooBars"])
+        == foo_bars
+    )
 
 
 def test_mutation():
@@ -120,4 +126,6 @@ def test_mutation():
     assert result.errors is None
     assert result.data is not None
     assert foo_bars[0] == new_foo_bar
-    assert pydantic.parse_obj_as(FooBar, result.data["createFooBar"]) == new_foo_bar
+    assert (
+        TypeAdapter(FooBar).validate_python(result.data["createFooBar"]) == new_foo_bar
+    )
diff --git a/tests/test_registry.py b/tests/test_registry.py
index eb00f50..b8c875f 100644
--- a/tests/test_registry.py
+++ b/tests/test_registry.py
@@ -57,5 +57,4 @@ def test_register_object_field_and_get_for_graphene_field():
     r = get_global_registry(PydanticObjectType)
     field = r.get_object_field_for_graphene_field(GraphFoo, "name")
     assert field is not None
-    assert field.type_ == str
-    assert field.name == "name"
+    assert field.annotation == str
diff --git a/tox.ini b/tox.ini
deleted file mode 100644
index dc0f3ed..0000000
--- a/tox.ini
+++ /dev/null
@@ -1,22 +0,0 @@
-# https://tox.readthedocs.io/en/latest/example/basic.html#compressing-dependency-matrix
-[tox]
-# NOTE: Pydantic <1.9 does not support Python 3.10
-envlist = py{37,38,39}-graphene{30}-pydantic{17,18,19}, py310-graphene30-pydantic19
-# CI will supply any versions not available locally
-skip_missing_interpreters = True
-# required if working with pyproject.toml
-isolated_build = True
-requires =
-    tox-poetry-dev-dependencies
-
-[testenv]
-whitelist_externals = poetry
-deps =
-    graphene30: graphene>=3.0,<3.1
-    pydantic17: pydantic==1.7
-    pydantic18: pydantic==1.8
-    pydantic19: pydantic==1.9
-    pytest
-    pytest-cov
-commands =
-    pytest -v tests/ --cov-report=term-missing --cov=graphene_pydantic {posargs}