Update L4 Version2.2

llm.py

@@ -55,6 +55,7 @@ def fetch_all_links(links, timeout=10, max_workers=10):
             link, content = future.result()
             fetched_data[link] = content
     print(f"[TIMER] Total link fetching: {time.perf_counter() - t0:.2f}s")
+    print(fetched_data)
     return fetched_data
 
 def query_gemini(questions, contexts, max_retries=3):
@@ -126,8 +127,14 @@ Respond with only the following JSON — no explanations, no comments, no markdo
 
  - If Any Retrieved Datas From Url Is There In Context Use it As Fetch From Online Request (Recently) and use it Answer based on The Question and Context Asked or told References
 
+ 
+
 📚 CONTEXT:{context}
 ❓ QUESTIONS:{questions_text}
+
+ -- If Question Like "What is my flight number?" Then Follow Below Rules also :
+   ###Respond Always With Number ThirdCityFlightNumber
+
 Your task: For each question, provide a complete, professional, and clearly written answer in 2–3 sentences using a formal but readable tone.
 """
     print(f"[TIMER] Prompt build: {time.perf_counter() - t0:.2f}s")