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| from pydantic import BaseModel, Field | |
| from typing import Optional, Dict, Any, List | |
| class ModerationAction(BaseModel): | |
| decision: str | |
| reason: str | |
| confidence: float = Field(ge=0.0, le=1.0) | |
| labels: List[str] = [] | |
| class ContentObservation(BaseModel): | |
| content_id: str | |
| content_type: str | |
| text: Optional[str] = None | |
| image_description: Optional[str] = None | |
| detector_score: Optional[float] = None | |
| metadata: Dict[str, Any] = {} | |
| step_num: int | |
| total_steps: int | |
| class StepResult(BaseModel): | |
| observation: Optional[ContentObservation] = None | |
| reward: float | |
| done: bool | |
| info: Dict[str, Any] = {} | |
| class ResetResult(BaseModel): | |
| observation: ContentObservation | |
| class EnvState(BaseModel): | |
| task: str | |
| step_num: int | |
| total_steps: int | |
| cumulative_reward: float | |
| done: bool | |
| history: List[Dict[str, Any]] = [] | |
| class ResetRequest(BaseModel): | |
| task: Optional[str] = "text_spam" | |