Initial standalone memabra release

docs/training-reports/report-883d758b-a1da-4510-88c5-cebf8ce0ba31.json

@@ -0,0 +1,43 @@
+{
+  "report_id": "report-883d758b-a1da-4510-88c5-cebf8ce0ba31",
+  "timestamp": "2026-04-14T17:16:51.844103+00:00",
+  "source_trajectory_ids": [
+    "traj-10750d7e-aec2-49e4-8c6a-49bf8d2bf620",
+    "traj-10fcbc94-01ac-42e2-804f-1d54ef7f5a87",
+    "traj-472748b4-dc44-408f-9ee5-a7991053cb4b",
+    "traj-52cf389a-e84e-4490-aa75-a0c116f8f82b",
+    "traj-66a4e8e5-42d0-4046-a9be-4c02c50325a5",
+    "traj-6d41eb83-b2cb-4987-a44f-16eb13d32d26",
+    "traj-9552c648-2d0b-4ca7-84ea-d738964bb54c",
+    "traj-aa5b30f3-a9f4-46c8-951e-4d3360ca1c15",
+    "traj-f4a7999c-0982-4ae0-ab0e-770de4c4ab8c",
+    "traj-f9a2ae8d-8fff-4e7b-951a-2e536bd8c96e"
+  ],
+  "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
+}