release: 0.1.0

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.1.0-alpha.42"
+  ".": "0.1.0"
 }

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 32
 openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/mixedbread%2Fmixedbread-82c2c1c322149cd73b2e8e45f475919b941752a89e74464ccecd1aee9352e9be.yml
-openapi_spec_hash: dbd7616a32c90fd25b32994830fb12f6
-config_hash: 20a40be2c85d83a4bb34aee53cefd856
+openapi_spec_hash: a47fe4cb39ee0cb74ee5888de2f0a5e1
+config_hash: f87f729f63f3b34364d1c144753b920d

CHANGELOG.md

@@ -1,5 +1,19 @@
 # Changelog
 
+## 0.1.0 (2025-04-04)
+
+Full Changelog: [v0.1.0-alpha.42...v0.1.0](https://github.com/mixedbread-ai/mixedbread-python/compare/v0.1.0-alpha.42...v0.1.0)
+
+### Features
+
+* **api:** update via SDK Studio ([#189](https://github.com/mixedbread-ai/mixedbread-python/issues/189)) ([7d2c3ea](https://github.com/mixedbread-ai/mixedbread-python/commit/7d2c3eaf947540a650971b52c6aeb907c35f330b))
+* **api:** update via SDK Studio ([#191](https://github.com/mixedbread-ai/mixedbread-python/issues/191)) ([ecc7b0c](https://github.com/mixedbread-ai/mixedbread-python/commit/ecc7b0ca2ef2ced5c03615aac32a3cc6e79ac162))
+
+
+### Chores
+
+* **internal:** remove trailing character ([#192](https://github.com/mixedbread-ai/mixedbread-python/issues/192)) ([1d85db1](https://github.com/mixedbread-ai/mixedbread-python/commit/1d85db180e2c005f90348abd96622c7bb51cd39b))
+
 ## 0.1.0-alpha.42 (2025-04-03)
 
 Full Changelog: [v0.1.0-alpha.41...v0.1.0-alpha.42](https://github.com/mixedbread-ai/mixedbread-python/compare/v0.1.0-alpha.41...v0.1.0-alpha.42)

README.md

@@ -16,7 +16,7 @@ The REST API documentation can be found on [mixedbread.com](https://mixedbread.c
 
 ```sh
 # install from PyPI
-pip install --pre mixedbread
+pip install mixedbread
 ```
 
 ## Usage

api.md

@@ -1,7 +1,7 @@
 # Shared Types
 
 ```python
-from mixedbread.types import SearchFilter, SearchFilterCondition
+from mixedbread.types import SearchFilter, SearchFilterCondition, Usage
 ```
 
 # Mixedbread

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mixedbread"
-version = "0.1.0-alpha.42"
+version = "0.1.0"
 description = "The official Python library for the Mixedbread API"
 dynamic = ["readme"]
 license = "Apache-2.0"

src/mixedbread/_client.py

@@ -242,7 +242,7 @@ def embed(
         self,
         *,
         model: str,
-        input: List[str],
+        input: Union[str, List[str]],
         dimensions: Optional[int] | NotGiven = NOT_GIVEN,
         prompt: Optional[str] | NotGiven = NOT_GIVEN,
         normalized: bool | NotGiven = NOT_GIVEN,
@@ -599,7 +599,7 @@ async def embed(
         self,
         *,
         model: str,
-        input: List[str],
+        input: Union[str, List[str]],
         dimensions: Optional[int] | NotGiven = NOT_GIVEN,
         prompt: Optional[str] | NotGiven = NOT_GIVEN,
         normalized: bool | NotGiven = NOT_GIVEN,

src/mixedbread/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "mixedbread"
-__version__ = "0.1.0-alpha.42"  # x-release-please-version
+__version__ = "0.1.0"  # x-release-please-version

src/mixedbread/resources/embeddings.py

@@ -51,7 +51,7 @@ def create(
         self,
         *,
         model: str,
-        input: List[str],
+        input: Union[str, List[str]],
         dimensions: Optional[int] | NotGiven = NOT_GIVEN,
         prompt: Optional[str] | NotGiven = NOT_GIVEN,
         normalized: bool | NotGiven = NOT_GIVEN,
@@ -141,7 +141,7 @@ async def create(
         self,
         *,
         model: str,
-        input: List[str],
+        input: Union[str, List[str]],
         dimensions: Optional[int] | NotGiven = NOT_GIVEN,
         prompt: Optional[str] | NotGiven = NOT_GIVEN,
         normalized: bool | NotGiven = NOT_GIVEN,

src/mixedbread/types/__init__.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from .shared import SearchFilter as SearchFilter, SearchFilterCondition as SearchFilterCondition
+from .shared import Usage as Usage, SearchFilter as SearchFilter, SearchFilterCondition as SearchFilterCondition
 from .embedding import Embedding as Embedding
 from .file_counts import FileCounts as FileCounts
 from .file_object import FileObject as FileObject

src/mixedbread/types/client_embed_params.py

@@ -12,7 +12,7 @@ class ClientEmbedParams(TypedDict, total=False):
     model: Required[str]
     """The model to use for creating embeddings."""
 
-    input: Required[List[str]]
+    input: Required[Union[str, List[str]]]
     """The input to create embeddings for."""
 
     dimensions: Optional[int]

src/mixedbread/types/embedding_create_params.py

@@ -12,7 +12,7 @@ class EmbeddingCreateParams(TypedDict, total=False):
     model: Required[str]
     """The model to use for creating embeddings."""
 
-    input: Required[List[str]]
+    input: Required[Union[str, List[str]]]
     """The input to create embeddings for."""
 
     dimensions: Optional[int]

src/mixedbread/types/embedding_create_response.py

@@ -5,20 +5,10 @@
 
 from .._models import BaseModel
 from .embedding import Embedding
+from .shared.usage import Usage
 from .multi_encoding_embedding import MultiEncodingEmbedding
 
-__all__ = ["EmbeddingCreateResponse", "Usage"]
-
-
-class Usage(BaseModel):
-    prompt_tokens: int
-    """The number of tokens used for the prompt"""
-
-    total_tokens: int
-    """The total number of tokens used"""
-
-    completion_tokens: Optional[int] = None
-    """The number of tokens used for the completion"""
+__all__ = ["EmbeddingCreateResponse"]
 
 
 class EmbeddingCreateResponse(BaseModel):

src/mixedbread/types/rerank_response.py

@@ -4,19 +4,9 @@
 from typing_extensions import Literal
 
 from .._models import BaseModel
+from .shared.usage import Usage
 
-__all__ = ["RerankResponse", "Usage", "Data"]
-
-
-class Usage(BaseModel):
-    prompt_tokens: int
-    """The number of tokens used for the prompt"""
-
-    total_tokens: int
-    """The total number of tokens used"""
-
-    completion_tokens: Optional[int] = None
-    """The number of tokens used for the completion"""
+__all__ = ["RerankResponse", "Data"]
 
 
 class Data(BaseModel):

src/mixedbread/types/shared/__init__.py

@@ -1,4 +1,5 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
+from .usage import Usage as Usage
 from .search_filter import SearchFilter as SearchFilter
 from .search_filter_condition import SearchFilterCondition as SearchFilterCondition

src/mixedbread/types/shared/usage.py

@@ -0,0 +1,18 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+
+from ..._models import BaseModel
+
+__all__ = ["Usage"]
+
+
+class Usage(BaseModel):
+    prompt_tokens: int
+    """The number of tokens used for the prompt"""
+
+    total_tokens: int
+    """The total number of tokens used"""
+
+    completion_tokens: Optional[int] = None
+    """The number of tokens used for the completion"""

tests/api_resources/test_client.py

@@ -25,15 +25,15 @@ class TestClient:
     def test_method_embed(self, client: Mixedbread) -> None:
         client_ = client.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         )
         assert_matches_type(EmbeddingCreateResponse, client_, path=["response"])
 
     @parametrize
     def test_method_embed_with_all_params(self, client: Mixedbread) -> None:
         client_ = client.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
             dimensions=768,
             prompt="Provide a detailed summary of the following text.",
             normalized=True,
@@ -45,7 +45,7 @@ def test_method_embed_with_all_params(self, client: Mixedbread) -> None:
     def test_raw_response_embed(self, client: Mixedbread) -> None:
         response = client.with_raw_response.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         )
 
         assert response.is_closed is True
@@ -57,7 +57,7 @@ def test_raw_response_embed(self, client: Mixedbread) -> None:
     def test_streaming_response_embed(self, client: Mixedbread) -> None:
         with client.with_streaming_response.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -95,18 +95,18 @@ def test_streaming_response_info(self, client: Mixedbread) -> None:
     @parametrize
     def test_method_rerank(self, client: Mixedbread) -> None:
         client_ = client.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         )
         assert_matches_type(RerankResponse, client_, path=["response"])
 
     @parametrize
     def test_method_rerank_with_all_params(self, client: Mixedbread) -> None:
         client_ = client.rerank(
-            model="x",
-            query="What is mixedbread ai?",
+            model="mixedbread-ai/mxbai-rerank-large-v2",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
-            rank_fields=["field1", "field2"],
+            rank_fields=["content", "title"],
             top_k=10,
             return_input=False,
         )
@@ -115,7 +115,7 @@ def test_method_rerank_with_all_params(self, client: Mixedbread) -> None:
     @parametrize
     def test_raw_response_rerank(self, client: Mixedbread) -> None:
         response = client.with_raw_response.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         )
 
@@ -127,7 +127,7 @@ def test_raw_response_rerank(self, client: Mixedbread) -> None:
     @parametrize
     def test_streaming_response_rerank(self, client: Mixedbread) -> None:
         with client.with_streaming_response.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         ) as response:
             assert not response.is_closed
@@ -146,15 +146,15 @@ class TestAsyncClient:
     async def test_method_embed(self, async_client: AsyncMixedbread) -> None:
         client = await async_client.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         )
         assert_matches_type(EmbeddingCreateResponse, client, path=["response"])
 
     @parametrize
     async def test_method_embed_with_all_params(self, async_client: AsyncMixedbread) -> None:
         client = await async_client.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
             dimensions=768,
             prompt="Provide a detailed summary of the following text.",
             normalized=True,
@@ -166,7 +166,7 @@ async def test_method_embed_with_all_params(self, async_client: AsyncMixedbread)
     async def test_raw_response_embed(self, async_client: AsyncMixedbread) -> None:
         response = await async_client.with_raw_response.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         )
 
         assert response.is_closed is True
@@ -178,7 +178,7 @@ async def test_raw_response_embed(self, async_client: AsyncMixedbread) -> None:
     async def test_streaming_response_embed(self, async_client: AsyncMixedbread) -> None:
         async with async_client.with_streaming_response.embed(
             model="mixedbread-ai/mxbai-embed-large-v1",
-            input=["string"],
+            input="x",
         ) as response:
             assert not response.is_closed
             assert response.http_request.headers.get("X-Stainless-Lang") == "python"
@@ -216,18 +216,18 @@ async def test_streaming_response_info(self, async_client: AsyncMixedbread) -> N
     @parametrize
     async def test_method_rerank(self, async_client: AsyncMixedbread) -> None:
         client = await async_client.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         )
         assert_matches_type(RerankResponse, client, path=["response"])
 
     @parametrize
     async def test_method_rerank_with_all_params(self, async_client: AsyncMixedbread) -> None:
         client = await async_client.rerank(
-            model="x",
-            query="What is mixedbread ai?",
+            model="mixedbread-ai/mxbai-rerank-large-v2",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
-            rank_fields=["field1", "field2"],
+            rank_fields=["content", "title"],
             top_k=10,
             return_input=False,
         )
@@ -236,7 +236,7 @@ async def test_method_rerank_with_all_params(self, async_client: AsyncMixedbread
     @parametrize
     async def test_raw_response_rerank(self, async_client: AsyncMixedbread) -> None:
         response = await async_client.with_raw_response.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         )
 
@@ -248,7 +248,7 @@ async def test_raw_response_rerank(self, async_client: AsyncMixedbread) -> None:
     @parametrize
     async def test_streaming_response_rerank(self, async_client: AsyncMixedbread) -> None:
         async with async_client.with_streaming_response.rerank(
-            query="What is mixedbread ai?",
+            query="What are the key features of the Mixedbread embedding model?",
             input=["Document 1", "Document 2"],
         ) as response:
             assert not response.is_closed