Initial standalone memabra release

docs/training-reports/report-c01cc9e5-1955-4dd9-9c76-c47a81862cbb.json

@@ -0,0 +1,43 @@
+{
+  "report_id": "report-c01cc9e5-1955-4dd9-9c76-c47a81862cbb",
+  "timestamp": "2026-04-14T17:38:32.809545+00:00",
+  "source_trajectory_ids": [
+    "traj-3972e30c-c93d-4a1e-b53b-f2dee9ec910e",
+    "traj-51f1987a-30d2-44bd-b0c0-a958bc8cdc04",
+    "traj-564404fe-f2c1-4962-81a1-6d1c44cfa858",
+    "traj-652c319b-368f-43a5-a00d-5f5eed161e12",
+    "traj-6578adb1-ca9c-46ba-b544-d8e3bdd2ae22",
+    "traj-6b30fbd2-751c-4f50-9bd0-a689840b0687",
+    "traj-76e06af8-ed94-4866-93ab-1f874dce5926",
+    "traj-809634f9-e464-4b97-9db7-f574c9160993",
+    "traj-b99be6b0-71ae-4b3c-9d6a-d3a0159fdf92",
+    "traj-c24e00a1-8ce2-4178-80b0-ace21f9b3c8b"
+  ],
+  "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
+}