Update src/api/agent.py

src/api/agent.py

@@ -405,13 +405,20 @@ def _rule_based_classify(question: str) -> Dict[str, str]:
 def _hours_answer() -> str:
     return (
         "Here are the current <strong>Khalifa University Library</strong> hours:<br><br>"
-        "<strong>Habshan Library (SAN Campus):</strong><br>"
+        "<strong>📍 Main Campus Library (E Building, Main Campus, Abu Dhabi)</strong><br>"
         "Sunday – Wednesday: 8:00 AM – 7:00 PM<br>"
         "Thursday: 8:00 AM – 4:00 PM<br>"
         "Friday: Closed<br>"
-        "Saturday: 12:00 PM – 8:00 PM<br><br>"
+        "Saturday: 12:00 PM – 8:00 PM<br>"
+        f'Reference desk: <a href="tel:+97123124604">+971 2 312 4604</a><br><br>'
+        "<strong>📍 Habshan Library (Building 5, SAN Campus, Abu Dhabi)</strong><br>"
+        "Sunday – Wednesday: 8:00 AM – 7:00 PM<br>"
+        "Thursday: 8:00 AM – 4:00 PM<br>"
+        "Friday: Closed<br>"
+        "Saturday: 12:00 PM – 8:00 PM<br>"
+        f'Service desk: <a href="tel:+97123123160">+971 2 312 3160</a><br><br>'
         "⚠️ Hours may change during exam periods, public holidays, and Ramadan. "
-        "Always check the official Library Hours page for the latest times:<br>"
+        "Always check the official Library Hours page for the latest:<br>"
         f'<a href="{LIBRARY_HOURS_URL}" target="_blank">{LIBRARY_HOURS_URL}</a>'
     )
 
@@ -1436,10 +1443,23 @@ def _database_recommendation_answer(question: str) -> str:
 # ── Research Snapshot ─────────────────────────────────────────────────────────
 
 async def _research_snapshot(context: SearchContextPayload, model: str) -> Tuple[str, List[dict], List[dict]]:
+    """
+    Research snapshot:
+    - Runs Semantic Scholar + PRIMO in parallel for speed.
+    - If Semantic Scholar returns papers: generate cited summary, show refs, then AI tools at bottom.
+    - If Semantic Scholar returns nothing: silently fall back to PRIMO results + AI tools.
+      Never mention Semantic Scholar failure to the user.
+    - AI tools panel always appears at the end.
+    """
+    import asyncio as _asyncio
     topic = context.topic
-    papers = await _semantic_scholar_search(topic, limit=8)
     references: List[dict] = []
-    primo_result, primo_url = await _search_primo_catalog(context, limit=6)
+
+    # Parallel fetch — don't wait for Semantic Scholar before starting PRIMO
+    papers, (primo_result, primo_url) = await _asyncio.gather(
+        _semantic_scholar_search(topic, limit=8),
+        _search_primo_catalog(context, limit=6),
+    )
     search_results = primo_result.get("results", []) or []
 
     if papers:
@@ -1451,10 +1471,9 @@ async def _research_snapshot(context: SearchContextPayload, model: str) -> Tuple
         answer = f"<strong>📖 Research Snapshot: {_escape(topic)}</strong><br><br>{summary}"
         if search_results:
             answer += (
-                "<br><br><strong>KU Library starting points:</strong> "
-                "I also pulled KU-accessible results below so you can move directly from the snapshot to subscribed material."
+                "<br><br><strong>KU Library results:</strong> "
+                "KU-accessible items are shown below — open them directly or use the AI tools for a deeper search."
             )
-        answer += f"<br><br><strong>AI sources:</strong> {_database_guidance_for_topic(context)}"
         answer += "<br><br><strong>Selected references:</strong><br>"
         for i, paper in enumerate(papers[:6], 1):
             answer += (
@@ -1464,22 +1483,27 @@ async def _research_snapshot(context: SearchContextPayload, model: str) -> Tuple
                 f'{_escape(paper["authors"])} · {paper["year"]} · {_escape(paper["venue"] or "")}'
                 f"</span>"
             )
+        # AI tools always at the bottom
+        answer += f"<br><br>{_database_guidance_for_topic(context)}"
         answer += _source_badge("semantic", "https://www.semanticscholar.org/")
         if search_results:
             answer += _source_badge("primo", primo_url)
         references = [{"title": p["title"], "url": p["link"]} for p in papers[:6]]
         return answer, search_results, references
 
+    # Semantic Scholar returned nothing — silent fallback, no error message
     if search_results:
         answer = (
-            f"<strong>📚 KU Library starting points on {_escape(topic)}</strong><br><br>"
-            "I couldn't build a Semantic Scholar snapshot right now, but here are KU-accessible library results you can open immediately. "
-            f"<br><br><strong>AI sources:</strong> {_database_guidance_for_topic(context)}"
+            f"<strong>📚 Research starting points: {_escape(topic)}</strong><br><br>"
+            "Here are KU-accessible results you can open immediately. "
+            "For a deeper literature synthesis, use the AI research tools below."
+            f"<br><br>{_database_guidance_for_topic(context)}"
         )
     else:
         answer = (
-            f"I couldn't retrieve a research snapshot for <strong>{_escape(topic)}</strong> right now.<br><br>"
-            f"<strong>AI sources:</strong> {_database_guidance_for_topic(context)}"
+            f"<strong>📚 Research starting points: {_escape(topic)}</strong><br><br>"
+            "I didn't find direct results right now — try the AI research tools below for a deep search on this topic."
+            f"<br><br>{_database_guidance_for_topic(context)}"
         )
     answer += _source_badge("primo", primo_url)
     return answer, search_results, []