`DatabaseSummaryResponse`

Summarizes vector database resources.

For the list of response object types, see Response Objects.

Use DatabaseSummaryResponse to inspect database-level counts for vector tables, vectors, and loaded models.

Attributes

Attribute	Type	Description
`total_tables`	`int` or `float` or `None`	Total number of vector tables.
`total_vectors`	`int` or `float` or `None`	Total number of vectors across vector tables.
`total_models`	`int` or `float` or `None`	Total number of loaded models.

Method	Return Type	Description
`model_dump()`	`dict[str, Any]`	Returns a dictionary representation of the response.
`model_dump_json()`	`str`	Returns a JSON string representation of the response.
`to_dict()`	`dict[str, Any]`	Returns a dictionary representation compatible with earlier SDK response handling.
`to_json()`	`str`	Returns a JSON string representation compatible with earlier SDK response handling.
`to_str()`	`str`	Returns a readable string representation compatible with earlier SDK response handling.
`model_validate(obj)`	`DatabaseSummaryResponse`	Creates a response object from a dictionary payload.
`model_validate_json(json_data)`	`DatabaseSummaryResponse`	Creates a response object from a JSON string.

Use the response serialization helper to iterate every public attribute.

response = client.describe_vector_database()

payload = response.to_dict()

for attribute, value in payload.items():
    print(attribute, value)

{
  "total_tables": 3,
  "total_vectors": 125000,
  "total_models": 2
}