SIENTIAPDE-1645: Expose detailed model training information via a new Prometheus gauge. This gauge, sientia_training_info, records metadata such as dataset sizes, feature count, and evaluation metrics (MSE, MAE, R2) along with the training run's timestamp.

model_manager/metrics.py

@@ -27,6 +27,22 @@ APP_UP = Gauge(
 
 _TRAINING_LABELS = ['pod_id', 'model_name', 'model_type']
 
+SIENTIA_TRAINING_INFO = Gauge(
+    'sientia_training_info',
+    'Metadata and execution timestamp (ms) of the last successful model training run',
+    [
+        'pod_id',
+        'model_name',
+        'model_type',
+        'dataset_train_rows',
+        'dataset_val_rows',
+        'feature_count',
+        'mse',
+        'mae',
+        'r2',
+    ],
+)
+
 SIENTIA_TRAINING_MODEL_TRAINED_TOTAL = Counter(
     'sientia_training_model_trained_total',
     'Number of successfully completed model training runs',