release: 0.5.0

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "0.4.0"
+  ".": "0.5.0"
 }

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 49
 openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/mixedbread%2Fmixedbread-82c2c1c322149cd73b2e8e45f475919b941752a89e74464ccecd1aee9352e9be.yml
-openapi_spec_hash: f6661e9fafda26e7e9f3fc06739a33ad
-config_hash: 0619498f633d6a0d92ae15b21fd06d89
+openapi_spec_hash: 07482ed86f5ccf7b480c514d6d5ebb15
+config_hash: 167171738605c297aa5e8bc73abc66e3

CHANGELOG.md

@@ -1,5 +1,15 @@
 # Changelog
 
+## 0.5.0 (2025-05-26)
+
+Full Changelog: [v0.4.0...v0.5.0](https://github.com/mixedbread-ai/mixedbread-python/compare/v0.4.0...v0.5.0)
+
+### Features
+
+* **api:** update via SDK Studio ([5bfd6a5](https://github.com/mixedbread-ai/mixedbread-python/commit/5bfd6a5ca4c7e1f8e71a0e675272f7a5e23f9123))
+* **api:** update via SDK Studio ([e0b1fc1](https://github.com/mixedbread-ai/mixedbread-python/commit/e0b1fc12231187039ca03302b3a7b3f320fac4aa))
+* **api:** update via SDK Studio ([1977f12](https://github.com/mixedbread-ai/mixedbread-python/commit/1977f125d46011248652cc976f94e9c9585e9dfe))
+
 ## 0.4.0 (2025-05-26)
 
 Full Changelog: [v0.3.1...v0.4.0](https://github.com/mixedbread-ai/mixedbread-python/compare/v0.3.1...v0.4.0)

api.md

@@ -31,11 +31,12 @@ Types:
 ```python
 from mixedbread.types import (
     ExpiresAfter,
-    FileCounts,
-    ScoredVectorStoreChunk,
+    ScoredAudioURLInputChunk,
+    ScoredImageURLInputChunk,
+    ScoredTextInputChunk,
+    ScoredVideoURLInputChunk,
     VectorStore,
     VectorStoreChunkSearchOptions,
-    VectorStoreFileSearchOptions,
     VectorStoreDeleteResponse,
     VectorStoreQuestionAnsweringResponse,
     VectorStoreSearchResponse,

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mixedbread"
-version = "0.4.0"
+version = "0.5.0"
 description = "The official Python library for the Mixedbread API"
 dynamic = ["readme"]
 license = "Apache-2.0"

src/mixedbread/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "mixedbread"
-__version__ = "0.4.0"  # x-release-please-version
+__version__ = "0.5.0"  # x-release-please-version

src/mixedbread/resources/vector_stores/files.py

@@ -24,7 +24,6 @@
 from ...types.vector_stores.vector_store_file import VectorStoreFile
 from ...types.vector_stores.file_delete_response import FileDeleteResponse
 from ...types.vector_stores.file_search_response import FileSearchResponse
-from ...types.vector_store_file_search_options_param import VectorStoreFileSearchOptionsParam
 
 __all__ = ["FilesResource", "AsyncFilesResource"]
 
@@ -259,7 +258,7 @@ def search(
         vector_store_ids: List[str],
         top_k: int | NotGiven = NOT_GIVEN,
         filters: Optional[file_search_params.Filters] | NotGiven = NOT_GIVEN,
-        search_options: VectorStoreFileSearchOptionsParam | NotGiven = NOT_GIVEN,
+        search_options: file_search_params.SearchOptions | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -659,7 +658,7 @@ async def search(
         vector_store_ids: List[str],
         top_k: int | NotGiven = NOT_GIVEN,
         filters: Optional[file_search_params.Filters] | NotGiven = NOT_GIVEN,
-        search_options: VectorStoreFileSearchOptionsParam | NotGiven = NOT_GIVEN,
+        search_options: file_search_params.SearchOptions | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,

src/mixedbread/types/__init__.py

@@ -6,7 +6,6 @@
 from .api_key import APIKey as APIKey
 from .embedding import Embedding as Embedding
 from .data_source import DataSource as DataSource
-from .file_counts import FileCounts as FileCounts
 from .file_object import FileObject as FileObject
 from .object_type import ObjectType as ObjectType
 from .vector_store import VectorStore as VectorStore
@@ -29,23 +28,23 @@
 from .api_key_delete_response import APIKeyDeleteResponse as APIKeyDeleteResponse
 from .data_source_list_params import DataSourceListParams as DataSourceListParams
 from .embedding_create_params import EmbeddingCreateParams as EmbeddingCreateParams
+from .scored_text_input_chunk import ScoredTextInputChunk as ScoredTextInputChunk
 from .multi_encoding_embedding import MultiEncodingEmbedding as MultiEncodingEmbedding
 from .vector_store_list_params import VectorStoreListParams as VectorStoreListParams
 from .data_source_create_params import DataSourceCreateParams as DataSourceCreateParams
 from .data_source_oauth2_params import DataSourceOauth2Params as DataSourceOauth2Params
 from .data_source_update_params import DataSourceUpdateParams as DataSourceUpdateParams
 from .embedding_create_response import EmbeddingCreateResponse as EmbeddingCreateResponse
-from .scored_vector_store_chunk import ScoredVectorStoreChunk as ScoredVectorStoreChunk
 from .vector_store_create_params import VectorStoreCreateParams as VectorStoreCreateParams
 from .vector_store_search_params import VectorStoreSearchParams as VectorStoreSearchParams
 from .vector_store_update_params import VectorStoreUpdateParams as VectorStoreUpdateParams
 from .data_source_delete_response import DataSourceDeleteResponse as DataSourceDeleteResponse
+from .scored_audio_url_input_chunk import ScoredAudioURLInputChunk as ScoredAudioURLInputChunk
+from .scored_image_url_input_chunk import ScoredImageURLInputChunk as ScoredImageURLInputChunk
+from .scored_video_url_input_chunk import ScoredVideoURLInputChunk as ScoredVideoURLInputChunk
 from .vector_store_delete_response import VectorStoreDeleteResponse as VectorStoreDeleteResponse
 from .vector_store_search_response import VectorStoreSearchResponse as VectorStoreSearchResponse
 from .data_source_oauth2_params_param import DataSourceOauth2ParamsParam as DataSourceOauth2ParamsParam
-from .vector_store_file_search_options_param import (
-    VectorStoreFileSearchOptionsParam as VectorStoreFileSearchOptionsParam,
-)
 from .vector_store_question_answering_params import (
     VectorStoreQuestionAnsweringParams as VectorStoreQuestionAnsweringParams,
 )

src/mixedbread/types/extractions/__init__.py

@@ -2,9 +2,7 @@
 
 from __future__ import annotations
 
-from .text_input import TextInput as TextInput
 from .extraction_job import ExtractionJob as ExtractionJob
-from .image_url_input import ImageURLInput as ImageURLInput
 from .text_input_param import TextInputParam as TextInputParam
 from .extraction_result import ExtractionResult as ExtractionResult
 from .job_create_params import JobCreateParams as JobCreateParams

src/mixedbread/types/rerank_response.py

@@ -4,7 +4,6 @@
 from typing_extensions import Literal
 
 from .._models import BaseModel
-from .object_type import ObjectType
 from .shared.usage import Usage
 
 __all__ = ["RerankResponse", "Data"]
@@ -34,7 +33,7 @@ class RerankResponse(BaseModel):
     data: List[Data]
     """The ranked documents."""
 
-    object: Optional[ObjectType] = None
+    object: Optional[Literal["list"]] = None
     """The object type of the response"""
 
     top_k: int

src/mixedbread/types/scored_audio_url_input_chunk.py

@@ -0,0 +1,51 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from .._models import BaseModel
+
+__all__ = ["ScoredAudioURLInputChunk", "AudioURL"]
+
+
+class AudioURL(BaseModel):
+    url: str
+    """The audio URL. Can be either a URL or a Data URI."""
+
+
+class ScoredAudioURLInputChunk(BaseModel):
+    chunk_index: int
+    """position of the chunk in a file"""
+
+    mime_type: Optional[str] = None
+    """mime type of the chunk"""
+
+    model: Optional[str] = None
+    """model used for this chunk"""
+
+    score: float
+    """score of the chunk"""
+
+    file_id: str
+    """file id"""
+
+    filename: str
+    """filename"""
+
+    vector_store_id: str
+    """vector store id"""
+
+    metadata: Optional[object] = None
+    """file metadata"""
+
+    type: Optional[Literal["audio_url"]] = None
+    """Input type identifier"""
+
+    audio_url: AudioURL
+    """The audio input specification."""
+
+    transcription: Optional[str] = None
+    """speech recognition (sr) text of the audio"""
+
+    summary: Optional[str] = None
+    """summary of the audio"""

src/mixedbread/types/scored_image_url_input_chunk.py

@@ -0,0 +1,51 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from .._models import BaseModel
+
+__all__ = ["ScoredImageURLInputChunk", "ImageURL"]
+
+
+class ImageURL(BaseModel):
+    url: str
+    """The image URL. Can be either a URL or a Data URI."""
+
+
+class ScoredImageURLInputChunk(BaseModel):
+    chunk_index: int
+    """position of the chunk in a file"""
+
+    mime_type: Optional[str] = None
+    """mime type of the chunk"""
+
+    model: Optional[str] = None
+    """model used for this chunk"""
+
+    score: float
+    """score of the chunk"""
+
+    file_id: str
+    """file id"""
+
+    filename: str
+    """filename"""
+
+    vector_store_id: str
+    """vector store id"""
+
+    metadata: Optional[object] = None
+    """file metadata"""
+
+    type: Optional[Literal["image_url"]] = None
+    """Input type identifier"""
+
+    image_url: ImageURL
+    """The image input specification."""
+
+    ocr_text: Optional[str] = None
+    """ocr text of the image"""
+
+    summary: Optional[str] = None
+    """summary of the image"""

src/mixedbread/types/scored_text_input_chunk.py

@@ -0,0 +1,40 @@
+# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+
+from typing import Optional
+from typing_extensions import Literal
+
+from .._models import BaseModel
+
+__all__ = ["ScoredTextInputChunk"]
+
+
+class ScoredTextInputChunk(BaseModel):
+    chunk_index: int
+    """position of the chunk in a file"""
+
+    mime_type: Optional[str] = None
+    """mime type of the chunk"""
+
+    model: Optional[str] = None
+    """model used for this chunk"""
+
+    score: float
+    """score of the chunk"""
+
+    file_id: str
+    """file id"""
+
+    filename: str
+    """filename"""
+
+    vector_store_id: str
+    """vector store id"""
+
+    metadata: Optional[object] = None
+    """file metadata"""
+
+    type: Optional[Literal["text"]] = None
+    """Input type identifier"""
+
+    text: str
+    """Text content to process"""