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models.py
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"""Data models for the OpenEnv email triage environment."""
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from typing import Literal
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from pydantic import BaseModel
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class EmailObservation(BaseModel):
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"""Represents the email context visible to the agent at each step."""
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email_id: str
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subject: str
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body: str
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sender: str
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timestamp: str
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thread_history: list[str]
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task_id: str
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step_number: int
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total_emails: int
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class TriageAction(BaseModel):
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"""Represents the action chosen by the agent for an email."""
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label: Literal["urgent", "normal", "spam", "archive"]
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summary: str
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route_to: str
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class RewardResult(BaseModel):
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"""Represents deterministic grading output before reward shaping."""
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score: float
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breakdown: dict[str, float]
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feedback: str
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class EnvironmentState(BaseModel):
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"""Represents full internal environment state for debugging and evaluation."""
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task_id: str
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current_step: int
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total_steps: int
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done: bool
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action_history: list[TriageAction]
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reward_history: list[float]
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class StepResult(BaseModel):
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"""Represents the standardized output of environment step calls."""
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observation: EmailObservation
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reward: float
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done: bool
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info: dict[str, str | int | float | bool]
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class ResetResult(BaseModel):
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"""Represents the standardized output of environment reset calls."""
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observation: EmailObservation
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info: dict[str, str | int | float | bool]
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