Use plain-language live input warnings

src/datacenter_verification_api/feature_completion.py

@@ -285,10 +285,19 @@ def complete_features(
     capacity = number_or_none(out.get("o1_normalized_h100e_capacity"))
     fabric = number_or_none(out.get("o7_synchronized_fabric_footprint"))
     if capacity is not None and allocation is not None and allocation > capacity + 1:
-        warnings.append("allocated GPUs exceed monitored H100e capacity")
+        warnings.append(
+            "The allocated GPU count is higher than this site's monitored GPU capacity. "
+            "Lower allocated GPUs or choose a higher-capacity site."
+        )
     if capacity is not None and fabric is not None and fabric > capacity + 1:
-        warnings.append("fabric footprint exceeds monitored H100e capacity")
+        warnings.append(
+            "The network fabric size is higher than this site's monitored GPU capacity. "
+            "Lower fabric footprint or choose a higher-capacity site."
+        )
     if allocation is not None and allocation > 0 and fabric is not None and fabric > allocation + 1:
-        warnings.append("fabric footprint exceeds allocated GPUs")
+        warnings.append(
+            "The network fabric size is higher than the allocated GPU count. "
+            "Lower fabric footprint or raise allocated GPUs."
+        )
 
     return out, warnings

src/datacenter_verification_api/model_service.py

@@ -177,7 +177,10 @@ class ModelService:
         if request.feature_row_id:
             base_row = self.feature_lookup.get(request.feature_row_id)
             if base_row is None:
-                warnings.append(f"feature_row_id not found in base lookup: {request.feature_row_id}")
+                warnings.append(
+                    "The selected datapoint was not found in the live API reference table. "
+                    "Live scoring may be less reliable because many model inputs may be missing."
+                )
 
         row: dict[str, Any]
         has_base_row = base_row is not None
@@ -200,7 +203,7 @@ class ModelService:
                     if key in KNOWN_NON_MODEL_METADATA_FIELDS:
                         debug_warnings.append(f"{source_name} field is metadata-only and was not sent to the model: {key}")
                 elif key not in self.feature_columns:
-                    warnings.append(f"{source_name} field is not a model feature and was kept only as metadata: {key}")
+                    warnings.append(f"The live API ignored an unrecognized input field: {key}")
 
         for column in self.feature_columns:
             row.setdefault(column, None)
@@ -217,7 +220,8 @@ class ModelService:
             null_count = sum(1 for column in self.feature_columns if row.get(column) is None)
             if null_count > len(self.feature_columns) // 3:
                 warnings.append(
-                    f"no base row supplied; {null_count} of {len(self.feature_columns)} model features are null"
+                    f"The live API is missing {null_count} of {len(self.feature_columns)} model inputs. "
+                    "Choose a sampled datapoint before editing controls for a more reliable live score."
                 )
 
         return row, warnings, debug_warnings