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d3d0e0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | from __future__ import annotations
from dataclasses import asdict, dataclass, field
from typing import Any
from data_agent_baseline.benchmark.schema import AnswerTable
@dataclass(frozen=True, slots=True)
class StepRecord:
step_index: int
thought: str
action: str
action_input: dict[str, Any]
raw_response: str
observation: dict[str, Any]
ok: bool
def to_dict(self) -> dict[str, Any]:
return asdict(self)
@dataclass(slots=True)
class AgentRuntimeState:
steps: list[StepRecord] = field(default_factory=list)
answer: AnswerTable | None = None
failure_reason: str | None = None
@dataclass(frozen=True, slots=True)
class AgentRunResult:
task_id: str
answer: AnswerTable | None
steps: list[StepRecord]
failure_reason: str | None
@property
def succeeded(self) -> bool:
return self.answer is not None and self.failure_reason is None
def to_dict(self) -> dict[str, Any]:
return {
"task_id": self.task_id,
"answer": self.answer.to_dict() if self.answer is not None else None,
"steps": [step.to_dict() for step in self.steps],
"failure_reason": self.failure_reason,
"succeeded": self.succeeded,
}
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