Add actuator simulation tuning

app/actuators/models.py

@@ -154,6 +154,19 @@ class DecisionFactor(BaseModel):
     evidence: list[str] = Field(default_factory=list)
 
 
+class SimulationOutcome(BaseModel):
+    scenario_id: str = Field(pattern=r"^[a-z0-9_.-]{1,120}$")
+    actuator_entity_id: str
+    sensor_states: dict[str, str] = Field(default_factory=dict)
+    sensor_weights: dict[str, float] = Field(default_factory=dict)
+    prediction: BehaviorPrediction | None = None
+    decision_factors: list[DecisionFactor] = Field(default_factory=list)
+    would_execute: bool = False
+    blockers: list[str] = Field(default_factory=list)
+    score: float = Field(default=0.0, ge=0.0, le=1.0)
+    recommendation: str = Field(default="", max_length=700)
+
+
 class DecisionTrace(BaseModel):
     trace_id: str = Field(pattern=r"^[a-z0-9_.-]{1,120}$")
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))