fix: Pydantic validation error with list-type metadata in vector search (#3797)

Author: stainless-app[bot]

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 103
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-185ec058880381a5526ac91a488af1833f55656e36cd10b3795eb8fd4d75026f.yml
-openapi_spec_hash: fa935c08e25d23cff624e5e150f8e6ca
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-73fc7f59a69be032d1b18e2fff3ed7509e175703332723b27aac50e2514ca854.yml
+openapi_spec_hash: a22051c017a4822ef689585896659675
 config_hash: 39578cfdeb4a10121f2cb3fa3e4d5e20

src/llama_stack_client/types/vector_stores/vector_store_file.py

@@ -63,7 +63,14 @@ class VectorStoreFile(BaseModel):
 
     vector_store_id: str
 
-    attributes: Optional[Dict[str, object]] = None
+    attributes: Optional[Dict[str, Union[str, float, bool]]] = None
+    """Set of 16 key-value pairs that can be attached to an object.
+
+    This can be useful for storing additional information about the object in a
+    structured format, and querying for objects via API or the dashboard. Keys are
+    strings with a maximum length of 64 characters. Values are strings with a
+    maximum length of 512 characters, booleans, or numbers.
+    """
 
     last_error: Optional[LastError] = None
     """Error information for failed vector store file processing."""