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0b6a889 | 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 50 51 | """Typed Pydantic models for the FinePrint OpenEnv environment."""
from pydantic import BaseModel, Field
from typing import Optional, Dict, Any, List
class Action(BaseModel):
"""Agent action for the FinePrint policy compliance environment."""
command: str = Field(
...,
description=(
"Command to execute. One of: view_policies, view_workflow, "
"check_compliance, request_verification, quote_policy, "
"respond_to_user, take_action, escalate, abort_workflow, "
"clarify, submit"
),
)
args: Dict[str, Any] = Field(default_factory=dict, description="Command arguments")
metadata: Dict[str, Any] = Field(default_factory=dict)
class Observation(BaseModel):
"""Environment observation returned to the agent after each step."""
output: str = Field(default="", description="Command output or feedback text")
task_description: str = Field(default="", description="Current task description")
workflow_names: List[str] = Field(default_factory=list, description="Available workflow names")
available_commands: List[str] = Field(
default_factory=lambda: [
"view_policies", "view_workflow", "check_compliance",
"request_verification", "quote_policy", "respond_to_user",
"take_action", "escalate", "abort_workflow", "clarify", "submit",
],
)
done: bool = False
reward: Optional[float] = None
metadata: Dict[str, Any] = Field(default_factory=dict)
class State(BaseModel):
"""Episode state tracking."""
episode_id: Optional[str] = None
step_count: int = Field(default=0, ge=0)
task_id: str = ""
max_steps: int = 30
current_workflow: str = ""
active_version: str = ""
agent_version: str = ""
class Config:
extra = "allow"
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