CascadeResult

Result of a cascade consensus execution.

Usage

Source

CascadeResult(
    winner,
    winner_model,
    confidence,
    fanned_out,
    rounds=list(),
    consensus_strategy=None,
    agreement_score=None,
    initial_model="",
    initial_confidence=0.0,
    complexity=TaskComplexity.SIMPLE
)

Parameters

winner: str

The final selected response text.

winner_model: str

The model that produced the winning response.

confidence: float

Confidence in the final result.

fanned_out: bool

Whether the cascade fanned out to additional models.

rounds: list[CascadeRound] = list()


Details of each round in the cascade.

consensus_strategy: ConsensusStrategy | None = None

The consensus strategy used if fan-out occurred, or None.

agreement_score: float | None = None

Agreement score from consensus (if fan-out occurred), or None.

initial_model: str = ""

The model used in the initial round.

initial_confidence: float = 0.0

The confidence score from the initial round.

complexity: TaskComplexity = TaskComplexity.SIMPLE


The estimated task complexity.