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Action

class Action(BaseModel):

Represents an action taken in an environment.

This class defines the input context, the LLM-generated output, and metadata required for verification and tracking within an RL framework.

Attributes: llm_response (str): The response generated by the LLM. metadata (Dict[str, Any]): Additional metadata such as model parameters, prompt details, or response confidence scores. timestamp (datetime): The timestamp when the action was generated (UTC).

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Observation

class Observation(BaseModel):

Environment observation.

Attributes: question: The question posed to the LLM. context: Additional context for the question. metadata: Optional metadata about the observation.

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StepResult

class StepResult(BaseModel):

Result of an environment step.

Attributes: observation: The next observation. reward: Dictionary of reward scores for different aspects. done: Whether the episode is complete. info: Additional information about the step.

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as_tuple

def as_tuple(self):

Returns all fields of the model as a tuple, in declaration order