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Data models for the HR Onboarding/Offboarding Environment.
Defines the Action and Observation types used by the environment.
The agent sends HROnboardingAction (a tool call) and receives
HROnboardingObservation (the tool result + task context).
"""
from typing import Any, Dict, List, Optional
from pydantic import Field
from openenv.core.env_server.types import Action, Observation
class HROnboardingAction(Action):
"""Action for the HR environment — a tool call with name and arguments.
The agent picks one of 25 available tools and provides arguments.
Example:
HROnboardingAction(
tool_name="hr_create_employee",
arguments={"name": "Priya Sharma", "department": "Engineering",
"level": "L2", "role": "Software Engineer"}
)
"""
tool_name: str = Field(..., description="Name of the tool to call (e.g. hr_create_employee, it_assign_asset)")
arguments: Dict[str, Any] = Field(default_factory=dict, description="Arguments to pass to the tool")
class HROnboardingObservation(Observation):
"""Observation returned after each step in the HR environment.
Contains the tool execution result, task context, and episode progress.
"""
task_id: str = Field(default="", description="Current task identifier")
instruction: str = Field(default="", description="Task instruction for the agent")
tool_name: str = Field(default="", description="Name of the tool that was called")
tool_result: Dict[str, Any] = Field(default_factory=dict, description="Result returned by the tool")
step: int = Field(default=0, description="Current step number")
max_steps: int = Field(default=15, description="Maximum steps allowed")
available_tools: List[str] = Field(default_factory=list, description="List of available tool names")
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