atlasbot: enforce fast answer body

services/comms/scripts/atlasbot/bot.py

@@ -2926,6 +2926,7 @@ def _open_ended_system() -> str:
         "If the question asks for a list, embed the list inline in a sentence (comma-separated). "
         "If the question is ambiguous, pick a reasonable interpretation and state it briefly. "
         "Avoid repeating the exact same observation as the last response if possible; vary across metrics, workload, or hardware details. "
+        "Always include at least one substantive answer sentence before the score lines. "
         "When the fact pack includes hottest_cpu/ram/net/io lines, use them to answer hottest/busiest node questions. "
         "When the fact pack includes postgres_hottest_db, use it for questions about the busiest database. "
         "Do not invent numbers or facts. "
@@ -3801,6 +3802,24 @@ def _fast_fact_lines(
     return selected
 
 
+def _has_body_lines(answer: str) -> bool:
+    lines = [line.strip() for line in (answer or "").splitlines() if line.strip()]
+    for line in lines:
+        lowered = line.lower()
+        if lowered.startswith("confidence"):
+            continue
+        if lowered.startswith("relevance"):
+            continue
+        if lowered.startswith("satisfaction"):
+            continue
+        if lowered.startswith("hallucinationrisk"):
+            continue
+        if lowered.startswith("hallucination risk"):
+            continue
+        return True
+    return False
+
+
 def _open_ended_fast_single(
     prompt: str,
     *,
@@ -3818,6 +3837,15 @@ def _open_ended_fast_single(
         system_override=_open_ended_system(),
         model=model,
     )
+    if not _has_body_lines(reply):
+        reply = _ollama_call(
+            ("atlasbot_fast", "atlasbot_fast"),
+            prompt + " Provide one clear sentence before the score lines.",
+            context=context,
+            use_history=False,
+            system_override=_open_ended_system(),
+            model=model,
+        )
     if state:
         state.update("done", step=_open_ended_total_steps("fast"))
     return _ensure_scores(reply)