vector store name should be mandatory

docs/_static/llama-stack-spec.html

@@ -12583,6 +12583,9 @@
                     }
                 },
                 "additionalProperties": false,
+                "required": [
+                    "name"
+                ],
                 "title": "OpenaiCreateVectorStoreRequest"
             },
             "VectorStoreObject": {

docs/_static/llama-stack-spec.yaml

@@ -8791,6 +8791,8 @@ components:
           description: >-
             The provider-specific vector database ID.
       additionalProperties: false
+      required:
+        - name
       title: OpenaiCreateVectorStoreRequest
     VectorStoreObject:
       type: object

llama_stack/apis/vector_io/vector_io.py

@@ -165,7 +165,7 @@ class VectorIO(Protocol):
     @webmethod(route="/openai/v1/vector_stores", method="POST")
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,

llama_stack/distribution/routers/vector_io.py

@@ -108,7 +108,7 @@ class VectorIORouter(VectorIO):
     # OpenAI Vector Stores API endpoints
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,

llama_stack/providers/remote/vector_io/chroma/chroma.py

@@ -189,7 +189,7 @@ class ChromaVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
 
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,

llama_stack/providers/remote/vector_io/milvus/milvus.py

@@ -187,7 +187,7 @@ class MilvusVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
 
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,

llama_stack/providers/remote/vector_io/qdrant/qdrant.py

@@ -189,7 +189,7 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
 
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,

llama_stack/providers/utils/memory/openai_vector_store_mixin.py

@@ -74,7 +74,7 @@ class OpenAIVectorStoreMixin(ABC):
 
     async def openai_create_vector_store(
         self,
-        name: str | None = None,
+        name: str,
         file_ids: list[str] | None = None,
         expires_after: dict[str, Any] | None = None,
         chunking_strategy: dict[str, Any] | None = None,