Add dimensions param to text2vec_azure_openai

test/collection/test_config.py

@@ -48,13 +48,15 @@ def test_basic_config():
             resource_name="resource",
             deployment_id="deployment",
             base_url="https://api.openai.com",
+            dimensions=356,
         ),
         {
             "text2vec-openai": {
                 "resourceName": "resource",
                 "deploymentId": "deployment",
                 "vectorizeClassName": True,
                 "baseURL": "https://api.openai.com/",
+                "dimensions": 356,
             }
         },
     ),
@@ -1267,6 +1269,7 @@ def test_vector_config_flat_pq() -> None:
                 resource_name="resource",
                 deployment_id="deployment",
                 source_properties=["prop"],
+                dimensions=512,
             )
         ],
         {
@@ -1277,6 +1280,7 @@ def test_vector_config_flat_pq() -> None:
                         "deploymentId": "deployment",
                         "vectorizeClassName": True,
                         "properties": ["prop"],
+                        "dimensions": 512,
                     }
                 },
                 "vectorIndexType": "hnsw",

weaviate/collections/classes/config_named_vectors.py

@@ -848,10 +848,11 @@ def text2vec_azure_openai(
         resource_name: str,
         deployment_id: str,
         *,
-        vector_index_config: Optional[_VectorIndexConfigCreate] = None,
+        base_url: Optional[AnyHttpUrl] = None,
+        dimensions: Optional[int] = None,
         source_properties: Optional[List[str]] = None,
+        vector_index_config: Optional[_VectorIndexConfigCreate] = None,
         vectorize_collection_name: bool = True,
-        base_url: Optional[AnyHttpUrl] = None,
     ) -> _NamedVectorConfigCreate:
         """Create a named vector using the `text2vec_azure_openai` model.
 
@@ -861,6 +862,14 @@ def text2vec_azure_openai(
         Arguments:
             `name`
                 The name of the named vector.
+            `resource_name`
+                The resource name to use, REQUIRED.
+            `deployment_id`
+                The deployment ID to use, REQUIRED.
+            `base_url`
+                The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default.
+            `dimensions`
+                The dimensionality of the vectors. Defaults to `None`, which uses the server-defined default.
             `source_properties`
                 Which properties should be included when vectorizing. By default all text properties are included.
             `vector_index_config`
@@ -873,6 +882,7 @@ def text2vec_azure_openai(
             source_properties=source_properties,
             vectorizer=_Text2VecAzureOpenAIConfig(
                 baseURL=base_url,
+                dimensions=dimensions,
                 resourceName=resource_name,
                 deploymentId=deployment_id,
                 vectorizeClassName=vectorize_collection_name,

weaviate/collections/classes/config_vectorizers.py

@@ -209,6 +209,7 @@ class _Text2VecAzureOpenAIConfig(_VectorizerConfigCreate):
     resourceName: str
     deploymentId: str
     vectorizeClassName: bool
+    dimensions: Optional[int]
 
     def _to_dict(self) -> Dict[str, Any]:
         ret_dict = super()._to_dict()
@@ -685,6 +686,7 @@ def text2vec_azure_openai(
         deployment_id: str,
         vectorize_collection_name: bool = True,
         base_url: Optional[AnyHttpUrl] = None,
+        dimensions: Optional[int] = None,
     ) -> _VectorizerConfigCreate:
         """Create a `_Text2VecAzureOpenAIConfigCreate` object for use when vectorizing using the `text2vec-azure-openai` model.
 
@@ -700,12 +702,15 @@ def text2vec_azure_openai(
                 Whether to vectorize the collection name. Defaults to `True`.
             `base_url`
                 The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default.
+            `dimensions`
+                The dimensionality of the vectors. Defaults to `None`, which uses the server-defined default.
 
         Raises:
             `pydantic.ValidationError` if `resource_name` or `deployment_id` are not `str`.
         """
         return _Text2VecAzureOpenAIConfig(
             baseURL=base_url,
+            dimensions=dimensions,
             resourceName=resource_name,
             deploymentId=deployment_id,
             vectorizeClassName=vectorize_collection_name,