Commit eab2e5a3
Changed files (6)
src
openai
src/openai/resources/embeddings.py
@@ -16,9 +16,8 @@ from .._compat import cached_property
from .._extras import numpy as np, has_numpy
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 .._base_client import make_request_options
+from ..types.embedding_model import EmbeddingModel
from ..types.create_embedding_response import CreateEmbeddingResponse
__all__ = ["Embeddings", "AsyncEmbeddings"]
@@ -48,7 +47,7 @@ class Embeddings(SyncAPIResource):
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,
@@ -160,7 +159,7 @@ class AsyncEmbeddings(AsyncAPIResource):
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_content import FileContent as FileContent
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 __future__ import annotations
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"]
.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: