Initial standalone memabra release

docs/training-reports/report-abcad13b-e47e-422d-899b-bd3506c50f90.json

@@ -0,0 +1,43 @@
+{
+  "report_id": "report-abcad13b-e47e-422d-899b-bd3506c50f90",
+  "timestamp": "2026-04-14T14:58:22.633922+00:00",
+  "source_trajectory_ids": [
+    "traj-03ec4e07-01bd-4a3e-92b8-7d47b9f4f38d",
+    "traj-162d3154-0c71-4219-b995-a25767b32ce3",
+    "traj-2b57f91d-15e9-4758-a2c9-233bb766bd6a",
+    "traj-40731eb6-ff31-4441-bd55-68f96738601d",
+    "traj-45ab0672-f94c-4823-b102-ef12fccf1058",
+    "traj-51596c64-2922-4446-b61d-d312ab01bc60",
+    "traj-614127bd-e303-48b1-a863-3d8eecbaae13",
+    "traj-b1e405c0-f500-4b8b-b651-37be305ab040",
+    "traj-d21d0b04-b11b-4052-81bc-b3691d043dab",
+    "traj-e8dafb23-71db-4d33-993e-3af2cbfbd39d"
+  ],
+  "sample_count": 10,
+  "baseline_metrics": {
+    "task_count": 1,
+    "avg_reward": 0.44,
+    "error_rate": 0.0,
+    "avg_latency_ms": 0.0
+  },
+  "challenger_metrics": {
+    "task_count": 1,
+    "avg_reward": 0.44,
+    "error_rate": 0.0,
+    "avg_latency_ms": 0.0
+  },
+  "promotion_decision": {
+    "accepted": false,
+    "reasons": [
+      "Reward delta 0.0000 below minimum 1.0"
+    ],
+    "metrics": {
+      "reward_delta": 0.0,
+      "error_rate_delta": 0.0,
+      "latency_delta_ms": 0.0,
+      "baseline_avg_reward": 0.44,
+      "challenger_avg_reward": 0.44
+    }
+  },
+  "promoted_version_id": null
+}