feat(api): update via SDK Studio

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 58
 openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/digitalocean%2Fdigitalocean-genai-sdk-e40feaac59c85aace6aa42d2749b20e0955dbbae58b06c3a650bc03adafcd7b5.yml
 openapi_spec_hash: 825c1a4816938e9f594b7a8c06692667
-config_hash: 01ce4f461115cf14fd2b26a7d08a3a6a
+config_hash: f8b4e76be8bb430b0a00d2fd04d71615

api.md

@@ -294,12 +294,12 @@ Methods:
 Types:
 
 ```python
-from gradientai.types.inference import ModelRetrieveResponse, ModelListResponse
+from gradientai.types.inference import Model, ModelListResponse
 ```
 
 Methods:
 
-- <code title="get /models/{model}">client.inference.models.<a href="./src/gradientai/resources/inference/models.py">retrieve</a>(model) -> <a href="./src/gradientai/types/inference/model_retrieve_response.py">ModelRetrieveResponse</a></code>
+- <code title="get /models/{model}">client.inference.models.<a href="./src/gradientai/resources/inference/models.py">retrieve</a>(model) -> <a href="./src/gradientai/types/inference/model.py">Model</a></code>
 - <code title="get /models">client.inference.models.<a href="./src/gradientai/resources/inference/models.py">list</a>() -> <a href="./src/gradientai/types/inference/model_list_response.py">ModelListResponse</a></code>
 
 # Models

src/gradientai/resources/inference/models.py

@@ -14,8 +14,8 @@
     async_to_streamed_response_wrapper,
 )
 from ..._base_client import make_request_options
+from ...types.inference.model import Model
 from ...types.inference.model_list_response import ModelListResponse
-from ...types.inference.model_retrieve_response import ModelRetrieveResponse
 
 __all__ = ["ModelsResource", "AsyncModelsResource"]
 
@@ -50,7 +50,7 @@ def retrieve(
         extra_query: Query | None = None,
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
-    ) -> ModelRetrieveResponse:
+    ) -> Model:
         """
         Retrieves a model instance, providing basic information about the model such as
         the owner and permissioning.
@@ -73,7 +73,7 @@ def retrieve(
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
-            cast_to=ModelRetrieveResponse,
+            cast_to=Model,
         )
 
     def list(
@@ -129,7 +129,7 @@ async def retrieve(
         extra_query: Query | None = None,
         extra_body: Body | None = None,
         timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
-    ) -> ModelRetrieveResponse:
+    ) -> Model:
         """
         Retrieves a model instance, providing basic information about the model such as
         the owner and permissioning.
@@ -152,7 +152,7 @@ async def retrieve(
             options=make_request_options(
                 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
             ),
-            cast_to=ModelRetrieveResponse,
+            cast_to=Model,
         )
 
     async def list(

src/gradientai/types/inference/__init__.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+from .model import Model as Model
 from .api_key_list_params import APIKeyListParams as APIKeyListParams
 from .model_list_response import ModelListResponse as ModelListResponse
 from .api_key_create_params import APIKeyCreateParams as APIKeyCreateParams
@@ -11,5 +12,4 @@
 from .api_key_create_response import APIKeyCreateResponse as APIKeyCreateResponse
 from .api_key_delete_response import APIKeyDeleteResponse as APIKeyDeleteResponse
 from .api_key_update_response import APIKeyUpdateResponse as APIKeyUpdateResponse
-from .model_retrieve_response import ModelRetrieveResponse as ModelRetrieveResponse
 from .api_key_update_regenerate_response import APIKeyUpdateRegenerateResponse as APIKeyUpdateRegenerateResponse

src/gradientai/types/inference/model_retrieve_response.py renamed to src/gradientai/types/inference/model.py

@@ -4,10 +4,10 @@
 
 from ..._models import BaseModel
 
-__all__ = ["ModelRetrieveResponse"]
+__all__ = ["Model"]
 
 
-class ModelRetrieveResponse(BaseModel):
+class Model(BaseModel):
     id: str
     """The model identifier, which can be referenced in the API endpoints."""
 

src/gradientai/types/inference/model_list_response.py

@@ -3,26 +3,13 @@
 from typing import List
 from typing_extensions import Literal
 
+from .model import Model
 from ..._models import BaseModel
 
-__all__ = ["ModelListResponse", "Data"]
-
-
-class Data(BaseModel):
-    id: str
-    """The model identifier, which can be referenced in the API endpoints."""
-
-    created: int
-    """The Unix timestamp (in seconds) when the model was created."""
-
-    object: Literal["model"]
-    """The object type, which is always "model"."""
-
-    owned_by: str
-    """The organization that owns the model."""
+__all__ = ["ModelListResponse"]
 
 
 class ModelListResponse(BaseModel):
-    data: List[Data]
+    data: List[Model]
 
     object: Literal["list"]

tests/api_resources/inference/test_models.py

@@ -9,7 +9,7 @@
 
 from gradientai import GradientAI, AsyncGradientAI
 from tests.utils import assert_matches_type
-from gradientai.types.inference import ModelListResponse, ModelRetrieveResponse
+from gradientai.types.inference import Model, ModelListResponse
 
 base_url = os.environ.get("TEST_API_BASE_URL", "http://127.0.0.1:4010")
 
@@ -23,7 +23,7 @@ def test_method_retrieve(self, client: GradientAI) -> None:
         model = client.inference.models.retrieve(
             "llama3-8b-instruct",
         )
-        assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+        assert_matches_type(Model, model, path=["response"])
 
     @pytest.mark.skip()
     @parametrize
@@ -35,7 +35,7 @@ def test_raw_response_retrieve(self, client: GradientAI) -> None:
         assert response.is_closed is True
         assert response.http_request.headers.get("X-Stainless-Lang") == "python"
         model = response.parse()
-        assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+        assert_matches_type(Model, model, path=["response"])
 
     @pytest.mark.skip()
     @parametrize
@@ -47,7 +47,7 @@ def test_streaming_response_retrieve(self, client: GradientAI) -> None:
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
 
             model = response.parse()
-            assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+            assert_matches_type(Model, model, path=["response"])
 
         assert cast(Any, response.is_closed) is True
 
@@ -97,7 +97,7 @@ async def test_method_retrieve(self, async_client: AsyncGradientAI) -> None:
         model = await async_client.inference.models.retrieve(
             "llama3-8b-instruct",
         )
-        assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+        assert_matches_type(Model, model, path=["response"])
 
     @pytest.mark.skip()
     @parametrize
@@ -109,7 +109,7 @@ async def test_raw_response_retrieve(self, async_client: AsyncGradientAI) -> Non
         assert response.is_closed is True
         assert response.http_request.headers.get("X-Stainless-Lang") == "python"
         model = await response.parse()
-        assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+        assert_matches_type(Model, model, path=["response"])
 
     @pytest.mark.skip()
     @parametrize
@@ -121,7 +121,7 @@ async def test_streaming_response_retrieve(self, async_client: AsyncGradientAI)
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
 
             model = await response.parse()
-            assert_matches_type(ModelRetrieveResponse, model, path=["response"])
+            assert_matches_type(Model, model, path=["response"])
 
         assert cast(Any, response.is_closed) is True