DeepchecksLLMClient.data_iterator

DeepchecksLLMClient.data_iterator(app_name: str, version_name: str, environment: EnvType | str, start_time: datetime | int | None = None, end_time: datetime | int | None = None, user_interaction_ids: List[str] | None = None) → Iterable[Interaction]

Fetch all interactions from the specified environment type (PROD/EVAL) as an iterable.

Supports pagination, so this API is suitable for iterating over large amounts of data.

Parameters:

app_namestr

Application name

version_namestr

Name of application version

environmentEnvType | str

The environment type from which to fetch interactions. This can be either “PROD” or “EVAL”.

start_timedatetime | int | None, optional

The start time from which to fetch interactions. This can be a datetime object or an integer. If not provided, interactions will be fetched from the beginning.

end_timedatetime | int | None, optional

The end time until which to fetch interactions. This can be a datetime object or an integer. If not provided, interactions will be fetched up to the most recent.

user_interaction_ids: list | None, optional

user interactions ids to include into the list of interactions.annotation_reason

Returns:

Iterable[Interaction]

An iterable collection of interactions.