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app.py

@@ -101,12 +101,15 @@ def run_all_agents(img: Image.Image) -> Tuple[List[AgentEvidence], ForensicVerdi
     # Bayesian synthesis
     verdict = bayesian_synthesis(ordered)
 
-    # Attach modality info to verdict for reporting
+    # Attach modality info to verdict for reporting — include ALL indicators for diagnostics
     verdict.reasoning_tree["modality"] = {
         "detected": modality.modality,
         "confidence": modality.confidence,
-        "indicators": {k: v for k, v in modality.indicators.items() if not isinstance(v, np.ndarray)},
+        "indicators": {k: v for k, v in modality.indicators.items() 
+                       if not isinstance(v, np.ndarray) and k != "modality_scores"},
+        "modality_scores": modality.indicators.get("modality_scores", {}),
         "adjustments_applied": len(modality.score_adjustments),
+        "adjustments_list": list(modality.score_adjustments.keys())[:10],  # First 10 for display
     }
 
     # Generate explanations