nat.atif.final_metrics#

Final (trajectory-level) metrics model for ATIF trajectories.

Classes#

FinalMetrics

Aggregate statistics for the entire trajectory.

Module Contents#

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

Bases: pydantic.BaseModel

Aggregate statistics for the entire trajectory.

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.

total_prompt_tokens: int | None = None#
total_completion_tokens: int | None = None#
total_cached_tokens: int | None = None#
total_cost_usd: float | None = None#
total_steps: int | None = None#
extra: dict[str, Any] | None = None#
model_config#

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