chore(types): improve type name for embedding models

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 68
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-ff407aa10917e62f2b0c12d1ad2c4f1258ed083bd45753c70eaaf5b1cf8356ae.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-de1981b64ac229493473670d618500c6362c195f1057eb7de00bd1bc9184fbd5.yml

api.md

@@ -70,7 +70,7 @@ Methods:
 Types:
 
 ```python
-from openai.types import CreateEmbeddingResponse, Embedding
+from openai.types import CreateEmbeddingResponse, Embedding, EmbeddingModel
 ```
 
 Methods:

src/openai/resources/embeddings.py

@@ -18,6 +18,7 @@
 from .._resource import SyncAPIResource, AsyncAPIResource
 from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
 from .._base_client import make_request_options
+from ..types.embedding_model import EmbeddingModel
 from ..types.create_embedding_response import CreateEmbeddingResponse
 
 __all__ = ["Embeddings", "AsyncEmbeddings"]
@@ -47,7 +48,7 @@ def create(
         self,
         *,
         input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
-        model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
+        model: Union[str, EmbeddingModel],
         dimensions: int | NotGiven = NOT_GIVEN,
         encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -137,7 +138,7 @@ async def create(
         self,
         *,
         input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
-        model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
+        model: Union[str, EmbeddingModel],
         dimensions: int | NotGiven = NOT_GIVEN,
         encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,

src/openai/types/__init__.py

@@ -26,6 +26,7 @@
 from .file_deleted import FileDeleted as FileDeleted
 from .file_purpose import FilePurpose as FilePurpose
 from .model_deleted import ModelDeleted as ModelDeleted
+from .embedding_model import EmbeddingModel as EmbeddingModel
 from .images_response import ImagesResponse as ImagesResponse
 from .completion_usage import CompletionUsage as CompletionUsage
 from .file_list_params import FileListParams as FileListParams

src/openai/types/embedding_create_params.py

@@ -5,6 +5,8 @@
 from typing import List, Union, Iterable
 from typing_extensions import Literal, Required, TypedDict
 
+from .embedding_model import EmbeddingModel
+
 __all__ = ["EmbeddingCreateParams"]
 
 
@@ -20,7 +22,7 @@ class EmbeddingCreateParams(TypedDict, total=False):
     for counting tokens.
     """
 
-    model: Required[Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]]]
+    model: Required[Union[str, EmbeddingModel]]
     """ID of the model to use.
 
     You can use the

src/openai/types/embedding_model.py

@@ -0,0 +1,7 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing_extensions import Literal, TypeAlias
+
+__all__ = ["EmbeddingModel"]
+
+EmbeddingModel: TypeAlias = Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]