ModelResponse

Represents one loaded embedding or reranking model.

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

Use ModelResponse to inspect model metadata such as the model name, algorithm, mining function, creation time, and model attributes.

Attributes

Attribute	Type	Description
model_name	str or None	Name of the loaded model.
algorithm	str or None	Algorithm or model format reported by the database.
mining_function	str or None	Model mining function, such as embedding or reranking.
creation_date	str or None	Timestamp when the model was created in the database.
attributes	list[ModelAttributeItem] or None	Model attribute metadata, including input and output attribute definitions returned by the service.

Methods

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)	ModelResponse	Creates a response object from a dictionary payload.
model_validate_json(json_data)	ModelResponse	Creates a response object from a JSON string.

Iterate Attributes

Use the response serialization helper to iterate every public attribute.

response = client.describe_model(model_name="ALL_MINILM_L12_V2")

payload = response.to_dict()

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

Sample Response

{
  "model_name": "ALL_MINILM_L12_V2",
  "algorithm": "ONNX",
  "mining_function": "EMBEDDING",
  "creation_date": "2026-01-27T07:23:21Z",
  "attributes": [
    {
      "name": "DATA",
      "value": "TEXT",
      "data_type": "VARCHAR2",
      "data_length": 32767
    },
    {
      "name": "ORA$ONNXTARGET",
      "value": "VECTOR",
      "data_type": "VECTOR",
      "data_length": 1593,
      "vector_info": "VECTOR(384,FLOAT32)"
    }
  ]
}

Returned By

Returned by: load_model(), describe_model().