CloudMirrorConfig# pydantic model ray.serve.llm.CloudMirrorConfig[source]# The configuration for mirroring an LLM model from cloud storage. field bucket_uri: str | None = None# field extra_files: List[ExtraFiles] [Optional]# validator check_uri_format » bucket_uri[source]# classmethod from_file(path: str, **kwargs) → ModelT# Load a model from a YAML file path. classmethod parse_yaml(file, **kwargs) → ModelT# property storage_type: str# Returns the storage type (‘s3’, ‘gcs’, ‘abfss’, or ‘azure’) based on the URI prefix.