diff --git a/.gitignore b/.gitignore
index 87797408..95ceb189 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,4 @@
 .prism.log
-.vscode
 _dev
 
 __pycache__
diff --git a/.release-please-manifest.json b/.release-please-manifest.json
index aff3ead3..bf7fe4fa 100644
--- a/.release-please-manifest.json
+++ b/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "0.1.0-beta.2"
+  ".": "0.1.0-beta.3"
 }
\ No newline at end of file
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 00000000..5b010307
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "python.analysis.importFormat": "relative",
+}
diff --git a/CHANGELOG.md b/CHANGELOG.md
index d4262368..2eeef144 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,19 @@
 # Changelog
 
+## 0.1.0-beta.3 (2025-07-25)
+
+Full Changelog: [v0.1.0-beta.2...v0.1.0-beta.3](https://github.com/digitalocean/gradientai-python/compare/v0.1.0-beta.2...v0.1.0-beta.3)
+
+### Bug Fixes
+
+* **parsing:** parse extra field types ([93bea71](https://github.com/digitalocean/gradientai-python/commit/93bea71735195fa3f32de6b64bbc0aaac60a6d6c))
+
+
+### Chores
+
+* **project:** add settings file for vscode ([3b597aa](https://github.com/digitalocean/gradientai-python/commit/3b597aa96e1f588506de47d782444992383f5522))
+* update README with new gradient name ([03157fb](https://github.com/digitalocean/gradientai-python/commit/03157fb38616c68568024ab7e426b45d414bf432))
+
 ## 0.1.0-beta.2 (2025-07-22)
 
 Full Changelog: [v0.1.0-beta.1...v0.1.0-beta.2](https://github.com/digitalocean/gradientai-python/compare/v0.1.0-beta.1...v0.1.0-beta.2)
diff --git a/README.md b/README.md
index 310601a8..18767b69 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,15 @@
-# GradientAI Python API library
+# Gradient Python API library
 
 ### 🚧 Preview Status
 
-> GradientAI SDK is currently in **preview**. It is reasonably stable and suitable for use, but **some features and APIs may still change** as development continues.  
+> Gradient SDK is currently in **preview**. It is reasonably stable and suitable for use, but **some features and APIs may still change** as development continues.  
 > Use with care in production environments and keep an eye on releases for updates or breaking changes.
 
 <!-- prettier-ignore -->
 [![PyPI version](https://img.shields.io/pypi/v/do_gradientai.svg?label=pypi%20(stable))](https://pypi.org/project/do_gradientai/)
-[![Docs](https://img.shields.io/badge/Docs-8A2BE2)](https://gradientai-sdk.digitalocean.com/getting-started/overview/)
+[![Docs](https://img.shields.io/badge/Docs-8A2BE2)](https://gradientai.digitalocean.com/getting-started/overview/)
 
-The GradientAI Python library provides convenient access to the GradientAI REST API from any Python 3.8+
+The Gradient Python library provides convenient access to the Gradient REST API from any Python 3.8+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -17,7 +17,7 @@ It is generated with [Stainless](https://www.stainless.com/).
 
 ## Documentation
 
-The getting started guide can be found on [gradientai-sdk.digitalocean.com](https://gradientai-sdk.digitalocean.com/getting-started/overview).
+The getting started guide can be found on [gradient-sdk.digitalocean.com](https://gradient-sdk.digitalocean.com/getting-started/overview).
 The REST API documentation can be found on [developers.digitalocean.com](https://developers.digitalocean.com/documentation/v2/).
 The full API of this library can be found in [api.md](api.md).
 
@@ -30,10 +30,10 @@ pip install --pre do_gradientai
 
 ## Usage
 
-The GradientAI SDK provides clients for:
+The Gradient SDK provides clients for:
 * DigitalOcean API
-* GradientAI Serverless Inference
-* GradientAI Agent Inference
+* Gradient Serverless Inference
+* Gradient Agent Inference
 
 The full API of this library can be found in [api.md](api.md).
 
diff --git a/pyproject.toml b/pyproject.toml
index c9469187..74463764 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "do_gradientai"
-version = "0.1.0-beta.2"
+version = "0.1.0-beta.3"
 description = "The official Python library for GradientAI"
 dynamic = ["readme"]
 license = "Apache-2.0"
diff --git a/src/do_gradientai/_models.py b/src/do_gradientai/_models.py
index ffcbf67b..b8387ce9 100644
--- a/src/do_gradientai/_models.py
+++ b/src/do_gradientai/_models.py
@@ -208,14 +208,18 @@ def construct(  # pyright: ignore[reportIncompatibleMethodOverride]
             else:
                 fields_values[name] = field_get_default(field)
 
+        extra_field_type = _get_extra_fields_type(__cls)
+
         _extra = {}
         for key, value in values.items():
             if key not in model_fields:
+                parsed = construct_type(value=value, type_=extra_field_type) if extra_field_type is not None else value
+
                 if PYDANTIC_V2:
-                    _extra[key] = value
+                    _extra[key] = parsed
                 else:
                     _fields_set.add(key)
-                    fields_values[key] = value
+                    fields_values[key] = parsed
 
         object.__setattr__(m, "__dict__", fields_values)
 
@@ -370,6 +374,23 @@ def _construct_field(value: object, field: FieldInfo, key: str) -> object:
     return construct_type(value=value, type_=type_, metadata=getattr(field, "metadata", None))
 
 
+def _get_extra_fields_type(cls: type[pydantic.BaseModel]) -> type | None:
+    if not PYDANTIC_V2:
+        # TODO
+        return None
+
+    schema = cls.__pydantic_core_schema__
+    if schema["type"] == "model":
+        fields = schema["schema"]
+        if fields["type"] == "model-fields":
+            extras = fields.get("extras_schema")
+            if extras and "cls" in extras:
+                # mypy can't narrow the type
+                return extras["cls"]  # type: ignore[no-any-return]
+
+    return None
+
+
 def is_basemodel(type_: type) -> bool:
     """Returns whether or not the given type is either a `BaseModel` or a union of `BaseModel`"""
     if is_union(type_):
diff --git a/src/do_gradientai/_version.py b/src/do_gradientai/_version.py
index a31f70ad..2789c067 100644
--- a/src/do_gradientai/_version.py
+++ b/src/do_gradientai/_version.py
@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "do_gradientai"
-__version__ = "0.1.0-beta.2"  # x-release-please-version
+__version__ = "0.1.0-beta.3"  # x-release-please-version
diff --git a/tests/test_models.py b/tests/test_models.py
index bfbef61a..9a3891e3 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -1,5 +1,5 @@
 import json
-from typing import Any, Dict, List, Union, Optional, cast
+from typing import TYPE_CHECKING, Any, Dict, List, Union, Optional, cast
 from datetime import datetime, timezone
 from typing_extensions import Literal, Annotated, TypeAliasType
 
@@ -934,3 +934,30 @@ class Type2(BaseModel):
     )
     assert isinstance(model, Type1)
     assert isinstance(model.value, InnerType2)
+
+
+@pytest.mark.skipif(not PYDANTIC_V2, reason="this is only supported in pydantic v2 for now")
+def test_extra_properties() -> None:
+    class Item(BaseModel):
+        prop: int
+
+    class Model(BaseModel):
+        __pydantic_extra__: Dict[str, Item] = Field(init=False)  # pyright: ignore[reportIncompatibleVariableOverride]
+
+        other: str
+
+        if TYPE_CHECKING:
+
+            def __getattr__(self, attr: str) -> Item: ...
+
+    model = construct_type(
+        type_=Model,
+        value={
+            "a": {"prop": 1},
+            "other": "foo",
+        },
+    )
+    assert isinstance(model, Model)
+    assert model.a.prop == 1
+    assert isinstance(model.a, Item)
+    assert model.other == "foo"