pinecone-io
diff --git a/‎Makefile‎
Lines changed: 1 addition & 1 deletion b/‎Makefile‎
Lines changed: 1 addition & 1 deletion
diff --git a/‎codegen/apis‎ b/‎codegen/apis‎
diff --git a/‎codegen/python-oas-templates‎ b/‎codegen/python-oas-templates‎
diff --git a/‎pinecone/core/openapi/db_control/api/manage_indexes_api.py‎
Lines changed: 2 additions & 2 deletions b/‎pinecone/core/openapi/db_control/api/manage_indexes_api.py‎
Lines changed: 2 additions & 2 deletions
diff --git a/‎pinecone/core/openapi/db_control/model/backup_model.py‎
Lines changed: 6 additions & 6 deletions b/‎pinecone/core/openapi/db_control/model/backup_model.py‎
Lines changed: 6 additions & 6 deletions
diff --git a/‎pinecone/core/openapi/db_control/model/byoc_spec.py‎
Lines changed: 13 additions & 6 deletions b/‎pinecone/core/openapi/db_control/model/byoc_spec.py‎
Lines changed: 13 additions & 6 deletions
@@ -25,7 +25,7 @@ type-check:
 	uv run mypy pinecone --exclude pinecone/core
 
 generate-oas:
-	./codegen/build-oas.sh "2024-07"
+	./codegen/build-oas.sh "2025-10"
 
 version:
 	@python -c "import re; print(re.search(r'version = \"([^\"]+)\"', open('pyproject.toml').read()).group(1))"
 
@@ -72,7 +72,7 @@ def __configure_index(
         ) -> IndexModel | ApplyResult[IndexModel]:
             """Configure an index  # noqa: E501
 
-            Configure an existing index. For serverless indexes, you can configure index deletion protection, tags, and integrated inference embedding settings for the index. For pod-based indexes, you can configure the pod size, number of replicas, tags, and index deletion protection.  It is not possible to change the pod type of a pod-based index. However, you can create a collection from a pod-based index and then [create a new pod-based index with a different pod type](http://docs.pinecone.io/guides/indexes/pods/create-a-pod-based-index#create-a-pod-index-from-a-collection) from the collection. For guidance and examples, see [Configure an index](http://docs.pinecone.io/guides/indexes/pods/manage-pod-based-indexes).  # noqa: E501
+            Configure an existing index. For guidance and examples, see [Manage indexes](https://docs.pinecone.io/guides/manage-data/manage-indexes).  # noqa: E501
             This method makes a synchronous HTTP request by default. To make an
             asynchronous HTTP request, please pass async_req=True
 
@@ -1562,7 +1562,7 @@ async def __configure_index(
         ) -> IndexModel:
             """Configure an index  # noqa: E501
 
-            Configure an existing index. For serverless indexes, you can configure index deletion protection, tags, and integrated inference embedding settings for the index. For pod-based indexes, you can configure the pod size, number of replicas, tags, and index deletion protection.  It is not possible to change the pod type of a pod-based index. However, you can create a collection from a pod-based index and then [create a new pod-based index with a different pod type](http://docs.pinecone.io/guides/indexes/pods/create-a-pod-based-index#create-a-pod-index-from-a-collection) from the collection. For guidance and examples, see [Configure an index](http://docs.pinecone.io/guides/indexes/pods/manage-pod-based-indexes).  # noqa: E501
+            Configure an existing index. For guidance and examples, see [Manage indexes](https://docs.pinecone.io/guides/manage-data/manage-indexes).  # noqa: E501
 
 
             Args:
 
@@ -29,16 +29,16 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from pinecone.core.openapi.db_control.model.backup_model_schema import BackupModelSchema
     from pinecone.core.openapi.db_control.model.index_tags import IndexTags
+    from pinecone.core.openapi.db_control.model.metadata_schema import MetadataSchema
 
 
 def lazy_import():
-    from pinecone.core.openapi.db_control.model.backup_model_schema import BackupModelSchema
     from pinecone.core.openapi.db_control.model.index_tags import IndexTags
+    from pinecone.core.openapi.db_control.model.metadata_schema import MetadataSchema
 
-    globals()["BackupModelSchema"] = BackupModelSchema
     globals()["IndexTags"] = IndexTags
+    globals()["MetadataSchema"] = MetadataSchema
 
 
 from typing import Dict, Literal, Tuple, Set, Any, Type, TypeVar
@@ -112,7 +112,7 @@ def openapi_types(cls):
             "description": (str,),  # noqa: E501
             "dimension": (int,),  # noqa: E501
             "metric": (str,),  # noqa: E501
-            "schema": (BackupModelSchema,),  # noqa: E501
+            "schema": (MetadataSchema,),  # noqa: E501
             "record_count": (int,),  # noqa: E501
             "namespace_count": (int,),  # noqa: E501
             "size_bytes": (int,),  # noqa: E501
@@ -216,7 +216,7 @@ def _from_openapi_data(
             description (str): Optional description providing context for the backup. [optional]  # noqa: E501
             dimension (int): The dimensions of the vectors to be inserted in the index. [optional]  # noqa: E501
             metric (str): The distance metric to be used for similarity search. You can use 'euclidean', 'cosine', or 'dotproduct'. If the 'vector_type' is 'sparse', the metric must be 'dotproduct'. If the `vector_type` is `dense`, the metric defaults to 'cosine'. Possible values: `cosine`, `euclidean`, or `dotproduct`. [optional]  # noqa: E501
-            schema (BackupModelSchema): [optional]  # noqa: E501
+            schema (MetadataSchema): [optional]  # noqa: E501
             record_count (int): Total number of records in the backup. [optional]  # noqa: E501
             namespace_count (int): Number of namespaces in the backup. [optional]  # noqa: E501
             size_bytes (int): Size of the backup in bytes. [optional]  # noqa: E501
@@ -331,7 +331,7 @@ def __init__(
             description (str): Optional description providing context for the backup. [optional]  # noqa: E501
             dimension (int): The dimensions of the vectors to be inserted in the index. [optional]  # noqa: E501
             metric (str): The distance metric to be used for similarity search. You can use 'euclidean', 'cosine', or 'dotproduct'. If the 'vector_type' is 'sparse', the metric must be 'dotproduct'. If the `vector_type` is `dense`, the metric defaults to 'cosine'. Possible values: `cosine`, `euclidean`, or `dotproduct`. [optional]  # noqa: E501
-            schema (BackupModelSchema): [optional]  # noqa: E501
+            schema (MetadataSchema): [optional]  # noqa: E501
             record_count (int): Total number of records in the backup. [optional]  # noqa: E501
             namespace_count (int): Number of namespaces in the backup. [optional]  # noqa: E501
             size_bytes (int): Size of the backup in bytes. [optional]  # noqa: E501
 
@@ -29,13 +29,16 @@
 from typing import TYPE_CHECKING
 
 if TYPE_CHECKING:
-    from pinecone.core.openapi.db_control.model.backup_model_schema import BackupModelSchema
+    from pinecone.core.openapi.db_control.model.metadata_schema import MetadataSchema
+    from pinecone.core.openapi.db_control.model.read_capacity import ReadCapacity
 
 
 def lazy_import():
-    from pinecone.core.openapi.db_control.model.backup_model_schema import BackupModelSchema
+    from pinecone.core.openapi.db_control.model.metadata_schema import MetadataSchema
+    from pinecone.core.openapi.db_control.model.read_capacity import ReadCapacity
 
-    globals()["BackupModelSchema"] = BackupModelSchema
+    globals()["MetadataSchema"] = MetadataSchema
+    globals()["ReadCapacity"] = ReadCapacity
 
 
 from typing import Dict, Literal, Tuple, Set, Any, Type, TypeVar
@@ -98,7 +101,8 @@ def openapi_types(cls):
         lazy_import()
         return {
             "environment": (str,),  # noqa: E501
-            "schema": (BackupModelSchema,),  # noqa: E501
+            "read_capacity": (ReadCapacity,),  # noqa: E501
+            "schema": (MetadataSchema,),  # noqa: E501
         }
 
     @cached_class_property
@@ -107,6 +111,7 @@ def discriminator(cls):
 
     attribute_map: Dict[str, str] = {
         "environment": "environment",  # noqa: E501
+        "read_capacity": "read_capacity",  # noqa: E501
         "schema": "schema",  # noqa: E501
     }
 
@@ -164,7 +169,8 @@ def _from_openapi_data(cls: Type[T], environment, *args, **kwargs) -> T:  # noqa
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
-            schema (BackupModelSchema): [optional]  # noqa: E501
+            read_capacity (ReadCapacity): [optional]  # noqa: E501
+            schema (MetadataSchema): [optional]  # noqa: E501
         """
 
         _enforce_allowed_values = kwargs.pop("_enforce_allowed_values", False)
@@ -258,7 +264,8 @@ def __init__(self, environment, *args, **kwargs) -> None:  # noqa: E501
                                 Animal class but this time we won't travel
                                 through its discriminator because we passed in
                                 _visited_composed_classes = (Animal,)
-            schema (BackupModelSchema): [optional]  # noqa: E501
+            read_capacity (ReadCapacity): [optional]  # noqa: E501
+            schema (MetadataSchema): [optional]  # noqa: E501
         """
 
         _enforce_allowed_values = kwargs.pop("_enforce_allowed_values", True)