Update app.py

app.py

@@ -30,7 +30,7 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 GROQ_TEXT_MODEL = "llama-3.1-8b-instant"
 GROQ_FINAL_MODEL = "llama-3.1-8b-instant"
 GROQ_STRONG_MODEL = "openai/gpt-oss-20b"
-GROQ_RESEARCH_MODEL = "openai/gpt-oss-20b"
+GROQ_RESEARCH_MODEL = "llama-3.1-8b-instant"
 GROQ_VISION_MODEL = "meta-llama/llama-4-scout-17b-16e-instruct"
 GROQ_AUDIO_MODEL = "whisper-large-v3-turbo"
 
@@ -675,9 +675,16 @@ class BasicAgent:
         question = state.get("question", "")
 
         query = self.make_search_query(question)
+        print(f"[research query] {query}")
+
         web_results = safe_tool_run(web_search_tool, query, limit=5000)
         wiki_results = safe_tool_run(wikipedia_tool, query, limit=5000)
 
+        print(f"[web len] {len(web_results)}")
+        print(f"[wiki len] {len(wiki_results)}")
+        print(f"[web preview] {repr(web_results[:500])}")
+        print(f"[wiki preview] {repr(wiki_results[:500])}")
+
         context = truncate_text(
             f"Search query:\n{query}\n\n"
             f"Web search results:\n{web_results}\n\n"
@@ -691,6 +698,8 @@ class BasicAgent:
             context_label="Web/Wikipedia research results",
             llm=self.research_llm,
         )
+
+        print(f"[research raw_answer] {repr(raw_answer[:500])}")
         return {"context": context, "raw_answer": raw_answer}
 
     def verify_answer(self, state: AgentState) -> dict[str, Any]: