nat.experimental.test_time_compute.models.ttc_item#

Classes#

TTCItem

Represents an item in the TTC functions and pipelines

Module Contents#

class TTCItem(/, **data: Any)#

Bases: pydantic.BaseModel

Represents an item in the TTC functions and pipelines

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config#

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

input: Any | None = None#
output: Any | None = None#
plan: Any | None = None#
feedback: str | None = None#
score: float | None = None#
metadata: Any | None = None#
name: str | None = None#