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"""Pydantic models for the OrgOS OpenEnv environment."""
from typing import Any, Dict, List
from pydantic import BaseModel
class OrgOSAction(BaseModel):
app: str # "jira" | "zendesk" | "salesforce" | "workday"
operation: str # app-specific operation name
args: Dict[str, Any] = {}
class RewardBreakdown(BaseModel):
workflow_completion: float = 0.0 # 0.30 weight
rule_compliance: float = 0.0 # 0.25 weight
schema_adaptation: float = 0.0 # 0.20 weight
efficiency: float = 0.0 # 0.15 weight
policy_drift_handling: float = 0.0 # 0.10 weight
class OrgOSObservation(BaseModel):
done: bool
reward: float
current_score: float
workflow_id: str # "A", "B", or "C"
step_count: int
# Per-app state views (what the agent sees)
app_states: Dict[str, str] # app_name → string preview
# Workflow progress
workflow_goal: str
completed_steps: List[str]
pending_steps: List[str]
# Schema drift info (partial — agent must probe to discover rest)
schema_hints: Dict[str, str] # e.g. {"jira.priority": "severity"}
# Business rules in effect this episode
active_rules: Dict[str, Any] # {"sla_p0_minutes": 15, ...}
# Per-step feedback
rule_violations: List[str]
reward_breakdown: RewardBreakdown
message: str
class OrgOSState(BaseModel):
episode_id: str
workflow_id: str
schema_versions: Dict[str, str] # {"jira": "v2", "zendesk": "v1", ...}
step_count: int
max_steps: int
rule_violation_count: int
workflow_completion: float
rule_compliance_rate: float
policy_drift_active: bool
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