Fix #89: make THINK vs SAY divergence observable

extropy/core/models/simulation.py

@@ -357,6 +357,10 @@ class ReasoningResponse(BaseModel):
     position: str | None = Field(
         default=None, description="Classified position (filled by Pass 2)"
     )
+    public_position: str | None = Field(
+        default=None,
+        description="Public-facing position when THINK/SAY diverges (high fidelity)",
+    )
     sentiment: float | None = Field(
         default=None, description="Sentiment value (-1 to 1)"
     )

extropy/simulation/engine.py

@@ -926,24 +926,25 @@ def _process_reasoning_chunk(
                 public_conviction = max(0.0, min(1.0, public_conviction))
 
             public_will_share = response.will_share
-            public_position = response.position
+            candidate_public_position = response.public_position or response.position
+            public_position = candidate_public_position
 
             if (
                 old_public_conviction is not None
                 and old_public_conviction >= _FIRM_CONVICTION
             ):
                 if (
                     old_public_position is not None
-                    and response.position is not None
-                    and old_public_position != response.position
+                    and candidate_public_position is not None
+                    and old_public_position != candidate_public_position
                 ):
                     new_conviction = (
                         public_conviction if public_conviction is not None else 0.0
                     )
                     if new_conviction < _MODERATE_CONVICTION:
                         logger.info(
                             f"[CONVICTION] Agent {agent_id}: public flip from {old_public_position} "
-                            f"to {response.position} rejected (old conviction={float_to_conviction(old_public_conviction)}, "
+                            f"to {candidate_public_position} rejected (old conviction={float_to_conviction(old_public_conviction)}, "
                             f"new conviction={float_to_conviction(public_conviction)})"
                         )
                         public_position = old_public_position
@@ -2041,6 +2042,7 @@ def _export_results(self) -> None:
             "population_size": len(self.agents),
             "strong_model": self.config.strong,
             "fast_model": self.config.fast,
+            "fidelity": self.config.fidelity,
             "seed": self.seed,
             "multi_touch_threshold": self.config.multi_touch_threshold,
             "completed_at": datetime.now().isoformat(),