atlasbot: tune synth and followup style

atlasbot/engine/answerer.py

@@ -483,8 +483,17 @@ class AnswerEngine:
         plan: ModePlan,
         call_llm: Callable[..., Any],
     ) -> str:
+        style_hint = _style_hint(classify)
         if not subanswers:
-            prompt = prompts.SYNTHESIZE_PROMPT + "\nQuestion: " + question
+            prompt = (
+                prompts.SYNTHESIZE_PROMPT
+                + "\nQuestion: "
+                + question
+                + "\nStyle: "
+                + style_hint
+                + "\nQuestionType: "
+                + (classify.get("question_type") or "unknown")
+            )
             return await call_llm(prompts.SYNTHESIZE_SYSTEM, prompt, context=context, model=plan.model, tag="synth")
         draft_prompts = []
         for idx in range(plan.drafts):
@@ -492,6 +501,10 @@ class AnswerEngine:
                 prompts.SYNTHESIZE_PROMPT
                 + "\nQuestion: "
                 + question
+                + "\nStyle: "
+                + style_hint
+                + "\nQuestionType: "
+                + (classify.get("question_type") or "unknown")
                 + "\nSubanswers:\n"
                 + "\n".join([f"- {item}" for item in subanswers])
                 + f"\nDraftIndex: {idx + 1}"
@@ -982,6 +995,14 @@ def _default_scores() -> AnswerScores:
     return AnswerScores(confidence=60, relevance=60, satisfaction=60, hallucination_risk="medium")
 
 
+def _style_hint(classify: dict[str, Any]) -> str:
+    style = (classify.get("answer_style") or "").strip().lower()
+    qtype = (classify.get("question_type") or "").strip().lower()
+    if style == "insightful" or qtype in {"open_ended", "planning"}:
+        return "insightful"
+    return "direct"
+
+
 def _needs_evidence_fix(reply: str, classify: dict[str, Any]) -> bool:
     if not reply:
         return False

atlasbot/llm/prompts.py

@@ -81,12 +81,15 @@ SUBANSWER_PROMPT = (
 SYNTHESIZE_SYSTEM = (
     CLUSTER_SYSTEM
     + " Synthesize a final answer from sub-answers. "
-    + "Keep it conversational and grounded."
+    + "Keep it conversational and grounded. "
+    + "Do not say 'based on the snapshot' or 'based on the context'."
 )
 
 SYNTHESIZE_PROMPT = (
     "Write a final response to the user. "
-    "Use sub-answers as evidence, avoid raw metric dumps unless asked."
+    "Use sub-answers as evidence, avoid raw metric dumps unless asked. "
+    "If Style is insightful or the question is open-ended, choose 1-2 salient points and explain why they stand out. "
+    "If Style is direct, answer concisely with the specific value requested."
 )
 
 EVIDENCE_FIX_SYSTEM = (
@@ -188,7 +191,8 @@ FOLLOWUP_SYSTEM = (
 )
 
 FOLLOWUP_PROMPT = (
-    "Answer the follow-up using provided evidence. Be conversational and concise."
+    "Answer the follow-up using provided evidence. "
+    "Be conversational and concise, and avoid restating all metrics."
 )
 
 SELECT_CLAIMS_PROMPT = (