feat: inform model if a search query has no results

app/tools/literature.py

@@ -1,13 +1,18 @@
 from xml.etree import ElementTree
 
 import httpx
+from pydantic_ai import ModelRetry
 from tenacity import retry, stop_after_attempt, wait_random_exponential
 
 from app.config import settings
 from app.tools.utils import generate_id
 
 
-@retry(stop=stop_after_attempt(3), wait=wait_random_exponential(multiplier=0.5, max=10))
+@retry(
+    stop=stop_after_attempt(3),
+    wait=wait_random_exponential(multiplier=0.5, max=10),
+    reraise=True,
+)
 def search_semantic_scholar(
     query: str, top_k: int = 20, min_citation_count: int = 5
 ) -> list[dict]:
@@ -29,7 +34,10 @@ def search_semantic_scholar(
         timeout=10.0,
     )
     resp.raise_for_status()
-    return resp.json().get("data", [])
+    data = resp.json().get("data", [])
+    if not data:
+        raise ModelRetry(f"No results for '{query}'. Try different keywords.")
+    return data
 
 
 @retry(stop=stop_after_attempt(5), wait=wait_random_exponential(multiplier=0.5, max=10))