update

Author: ZFancy

prototype/agingbench/telemetry/card_render.py

@@ -149,6 +149,27 @@ def _per_mechanism_severity(mechanism: str, block: dict) -> float:
         return _revision_severity(block)
     if mechanism == "maintenance":
         return _maintenance_severity(block)
+    if mechanism == "consistency":
+        return _consistency_severity(block)
+    return 0.0
+
+
+def _consistency_severity(block: dict) -> float:
+    """Consistency block isn't a mechanism but it carries the aging-happened
+    signal. Score by behavior_drift_at_repeat magnitude so the 5th sparkline
+    on the website gets a meaningful strength meter rather than always 0.
+    """
+    drift = float(block.get("behavior_drift_at_repeat") or 0.0)
+    if drift > 0.5:
+        return 5.0
+    if drift > 0.3:
+        return 4.0
+    if drift > 0.15:
+        return 3.0
+    if drift > 0.05:
+        return 2.0
+    if drift > 0.0:
+        return 1.0
     return 0.0
 
 

prototype/agingbench/telemetry/inference/consistency.py

@@ -158,8 +158,11 @@ def infer_consistency(
         "tool_path_jaccard_drop_mean": round(tool_drop_mean, 4),
         "response_cosine_drop_mean":   round(resp_drop_mean, 4),
         "outcome_consistency_rate":    (round(outcome_rate, 4) if outcome_rate is not None else None),
-        "consistency_drop_trajectory": [(i, round(v, 4) if v is not None else None)
-                                        for i, v in enumerate(drop_trajectory)],
+        # Flat list of values (one per session) — matches the shape of every
+        # other website-rendered trajectory (e.g. context_noise_ratio_trajectory).
+        # Tuple/(idx, value) form was producing empty sparklines in the demo UI.
+        "consistency_drop_trajectory": [round(v, 4) if v is not None else None
+                                        for v in drop_trajectory],
         "consistency_drop_slope":      (round(drop_slope, 6) if drop_slope is not None else None),
         "consistency_drop_verdict":    drop_verdict,
         "coverage":                    coverage.as_dict(),