Documentation Index
Fetch the complete documentation index at: https://docs.hipocap.com/llms.txt
Use this file to discover all available pages before exploring further.
Datapoint
Pydantic model for evaluation and dataset datapoints.
Datapoint(
data: dict,
target: dict = {},
metadata: dict = {},
id: UUID | None = None,
created_at: datetime | None = None,
)
HumanEvaluator
HumanEvaluator(options: list[{"label": str, "value": float}] = [])
LaminarDataset
LaminarDataset(
name: str | None = None,
id: UUID | None = None,
fetch_size: int = 25,
)
TypedDict used for browser session recording input masking.
MaskInputOptions = TypedDict(
"MaskInputOptions",
{
"textarea": bool | None,
"text": bool | None,
"number": bool | None,
"select": bool | None,
"email": bool | None,
"tel": bool | None,
},
)
SessionRecordingOptions
SessionRecordingOptions = TypedDict(
"SessionRecordingOptions",
{
"mask_input_options": MaskInputOptions | None,
},
)
Version Helpers
get_latest_pypi_version() -> str
is_latest_version() -> bool
get_latest_pypi_version() returns __version__ on failure.is_latest_version() returns True on failure.
