fix simulation reporting and research resilience

backend/app/models/agent.py

@@ -67,7 +67,7 @@ class LifeState(BaseModel):
     life_log: list[str] = Field(default_factory=list)
 
 
-class AgentPersona(BaseModel):
+class AgentPersona(BaseModel):
     id: int
     name: str
     role: str
@@ -88,4 +88,7 @@ class AgentPersona(BaseModel):
     knowledge_level: str = Field(default="full")
     life_state: LifeState | None = None
     abandoned_products: set[str] = Field(default_factory=set)
-    has_defected: bool = False
+    has_defected: bool = False
+    # Keeps degraded citizen generation observable without changing the
+    # existing persona contract. Normal LLM-generated citizens use "llm".
+    generation_source: str = "llm"

backend/app/models/world.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 from typing import Literal
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, model_validator
 
 
 class Location(BaseModel):
@@ -10,11 +10,23 @@ class Location(BaseModel):
     description: str
 
 
-class TimeConfig(BaseModel):
+class TimeConfig(BaseModel):
     total_days: int = 365
     rounds_per_day: int = 3
-    active_agents_per_round_min: int = 3
-    active_agents_per_round_max: int = 10
+    active_agents_per_round_min: int = 3
+    active_agents_per_round_max: int = 10
+
+    @model_validator(mode="after")
+    def validate_ranges(self) -> "TimeConfig":
+        if self.total_days < 1:
+            raise ValueError("total_days must be positive")
+        if self.rounds_per_day < 1:
+            raise ValueError("rounds_per_day must be positive")
+        if self.active_agents_per_round_min < 0 or self.active_agents_per_round_max < 0:
+            raise ValueError("active agent counts cannot be negative")
+        if self.active_agents_per_round_min > self.active_agents_per_round_max:
+            raise ValueError("active_agents_per_round_min cannot exceed max")
+        return self
 
 
 class WorldBlueprint(BaseModel):