nat.atif.step

Step model for ATIF trajectories.

Classes

Step	A single step in an ATIF trajectory.

Module Contents

class Step(/, **data: Any)

Bases: pydantic.BaseModel

A single step in an ATIF 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.

step_id: int = None

timestamp: str | None = None

source: Literal['system', 'user', 'agent'] = None

model_name: str | None = None

reasoning_effort: str | float | None = None

message: str | list[nat.atif.content.ContentPart] = None

reasoning_content: str | None = None

tool_calls: list[nat.atif.tool_call.ToolCall] | None = None

observation: nat.atif.observation.Observation | None = None

metrics: nat.atif.metrics.Metrics | None = None

is_copied_context: bool | None = None

extra: dict[str, Any] | None = None

model_config

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

classmethod validate_timestamp(v: str | None) → str | None

Validate that timestamp is a valid ISO 8601 string.

validate_agent_only_fields() → Step

Validate that certain fields are only present for agent steps.