fix: complete template coverage in training data + disclose model alias

src/buddhagpt/datagen.py

@@ -26,6 +26,14 @@ SYSTEM = (
     '{"question": "Example question three?", "answer": "Example answer three, 120-250 words..."}'
 )
 
+def interleaved_variant(call_index: int) -> int:
+    """Map a running call index to a template variant, cycling through all templates.
+
+    Used so any generation run (however many calls it makes) covers every template in
+    TEMPLATES rather than exhausting one variant per full pass over the corpus.
+    """
+    return call_index % len(TEMPLATES)
+
 def build_messages(sutta: dict, variant: int) -> list[dict]:
     tmpl = TEMPLATES[variant % len(TEMPLATES)]
     return [