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app/api/routes.py

@@ -353,11 +353,18 @@ async def ml_status():
     from ..ml.runtime import get_model
 
     model = get_model()
+    sample = None
+    if model is not None and model.loaded:
+        try:
+            sample = model.predict(["john.smith [SEP] stripe.com"])
+        except Exception as exc:  # pragma: no cover - defensive
+            sample = [f"predict raised: {exc}"]
     return {
         "enabled": settings.ml_disposable_enabled,
         "repo": settings.ml_model_repo,
         "loaded": bool(model is not None and model.loaded),
         "last_error": getattr(model, "last_error", None) if model else None,
+        "predict_sample": sample,
     }