[EIS] Add Decision models to the sheet sync and supported models page

.github/scripts/sheet2docs/config.yml

@@ -111,6 +111,14 @@ outputs:
      sort:
        by: "Name"
        direction: "ascending"
+#
+   - filename: "decision-models.csv"
+     filter:
+       column: "Type"
+       values: ["Decision"]
+     sort:
+       by: "Name"
+       direction: "ascending"
 #
 #   - filename: "all-models.csv"
 #     # No filter: includes all rows

.github/scripts/sheet2docs/sync_sheet.py

@@ -785,7 +785,8 @@ def filter_columns(
 def write_csv(
     data: List[Dict[str, Any]],
     output_path: str,
-    delimiter: str = ','
+    delimiter: str = ',',
+    fieldnames: Optional[List[str]] = None
 ) -> None:
     """
     Write data to CSV file.
@@ -794,6 +795,8 @@ def write_csv(
         data: List of row dictionaries
         output_path: Path where CSV should be written
         delimiter: CSV delimiter character (default: comma)
+        fieldnames: Column names, used to write a header-only file when
+                    there are no rows (for example, a type with no models yet)
 
     Raises:
         SystemExit: If file cannot be written
@@ -807,9 +810,10 @@ def write_csv(
         # Write CSV
         if not data:
             print("Warning: No data to write to CSV", file=sys.stderr)
-            # Write empty file with just headers
+            # Write a file with just the header row
             with open(output_path, 'w', newline='', encoding='utf-8') as f:
-                f.write('')
+                if fieldnames:
+                    csv.writer(f, delimiter=delimiter).writerow(fieldnames)
             return
 
         # Get field names from first row
@@ -899,7 +903,9 @@ def main():
         output_dir = output_config.get('directory', '.')
         output_path = os.path.join(output_dir, filename)
         delimiter = output_config.get('delimiter', ',')
-        write_csv(output_data, output_path, delimiter)
+        fieldnames = [col.get('target', col['source'])
+                      for col in output_config['columns']]
+        write_csv(output_data, output_path, delimiter, fieldnames)
 
         generated_paths.append(output_path)
 

explore-analyze/elastic-inference/decision-models.csv

@@ -0,0 +1 @@
+Author,Name,ID,Model Card,Provider Terms,Input Modalities,Output Modalities,EOL Date,Data Retention Period (Days),Data Used To Train Models?,Inference Regions,Release Status,Stack Version

explore-analyze/elastic-inference/eis-supported-models.md

@@ -40,6 +40,12 @@ For region availability and request routing, refer to [Region and hosting](eis-r
 :caption: Scroll horizontally to view more information.
 :::
 
+### Decision models
+
+:::{csv-include} decision-models.csv
+:caption: Scroll horizontally to view more information.
+:::
+
 ::::{important}
 
 * The applicable terms of use, uptime, and performance for each of the AI models available with EIS are each described in the applicable AI model's Provider Terms and Model Card.