Initial standalone memabra release

docs/training-reports/report-774e00aa-847e-4329-b4e4-6745a7510deb.json

@@ -0,0 +1,43 @@
+{
+  "report_id": "report-774e00aa-847e-4329-b4e4-6745a7510deb",
+  "timestamp": "2026-04-14T18:28:06.116516+00:00",
+  "source_trajectory_ids": [
+    "traj-0680f16c-a3e2-43d9-92bc-413943c87fb2",
+    "traj-11dd5532-5b59-4562-aba9-ec1e3fb314c9",
+    "traj-45cddb43-6197-4bfc-88b5-94e0b896054f",
+    "traj-4de4cc12-7e2d-45cb-a523-1141dbeb15e2",
+    "traj-72bc5ccc-1dfd-4d8f-a5be-4198aacad1dc",
+    "traj-95c5c1ae-ef96-40b5-8f0b-a9e156d3657a",
+    "traj-976dcb41-a7c5-473a-b907-753fe7c6721a",
+    "traj-c8100fdb-052f-401e-b04f-b99a62d84289",
+    "traj-c9ba219d-f53d-4292-a2e5-f91378600a09",
+    "traj-e7644f00-be04-4d15-9489-7b3668004f36"
+  ],
+  "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
+}