Update app.py

app.py

@@ -303,27 +303,7 @@ def search_web(query):
             link = result.get("link", "No Link")
             snippet = result.get("snippet", "No Snippet")
             raw_output += f"Title: {title}\nLink: {link}\nSnippet: {snippet}\n\n"
-        prompt = f"""
-You are a helpful assistant. Given the following web search results and the user's question, do the following:
-
-1. Identify which entries are relevant.
-2. Extract and combine useful insights and data.
-3. Present the answer in natural, fluent British English, suitable for a professional summary.
-
-Important:
-- If the results contain **lists or categories**, you may summarise them into key points.
-- Avoid markdown formatting like `**` or `##`.
-- Write the final answer in a natural tone, as if explaining to a colleague.
-- If the results do not answer the question, say: “Sorry, I couldn't find a reliable answer from the current results.”
-
---- Web Search Results ---
-{raw_output}
-
---- User's Question ---
-"{query}"
-
-Answer:
-"""
+        prompt = "Summarize the following search results in a concise, human-friendly way:\n" + raw_output
         summarized = _general_chat(prompt)
         return summarized if summarized else raw_output.strip()
     else:
@@ -640,12 +620,15 @@ def weather_agent_tool(query: str) -> str:
         summary_prompt = f"""
 You are a helpful weather reasoning assistant.
 
+The user wants to know about the weather conditions at a specific time: {target_dt.strftime('%Y-%m-%d %H:%M')} in {location}.  
+Use the data below to answer their question. This may refer to the past, present, or future — do not assume it is the current weather.
+
 Based on the following weather data and the user's question, think step-by-step to extract the most relevant information, and give a natural, friendly, and cautious answer in British English.
 
 Avoid being overly confident — never say "Yes, it will..." or "Definitely." Instead, use expressions like:
 - "It is very likely that..."
 - "There is a high chance of..."
-- "Based on the current data, it seems that..."
+- "Based on the available data, it seems that..."
 - "There may be..."
 
 Also, after answering the question, include a short weather summary and a useful suggestion (e.g., bring an umbrella, wear sunscreen, avoid outdoor activities).
@@ -757,12 +740,15 @@ def weather_tool(query: str) -> str:
         summary_prompt = f"""
 You are a helpful weather reasoning assistant.
 
+The user wants to know about the weather conditions at a specific time: {target_dt.strftime('%Y-%m-%d %H:%M')} in {location}.  
+Use the data below to answer their question. This may refer to the past, present, or future — do not assume it is the current weather.
+
 Based on the following weather data and the user's question, think step-by-step to extract the most relevant information, and give a natural, friendly, and cautious answer in British English.
 
 Avoid being overly confident — never say "Yes, it will..." or "Definitely." Instead, use expressions like:
 - "It is very likely that..."
 - "There is a high chance of..."
-- "Based on the current data, it seems that..."
+- "Based on the available data, it seems that..."
 - "There may be..."
 
 Also, after answering the question, include a short weather summary and a useful suggestion (e.g., bring an umbrella, wear sunscreen, avoid outdoor activities).
@@ -1153,7 +1139,7 @@ This demo presents a GPT-style Multi-Agent AI Assistant, built with **LangChain,
 2. What are the key ideas mentioned in this file? *(→ RAG QA Agent)*
 3. What is LangChain used for? | What are the latest trends in AI startups in 2025? | Tell me the most recent breakthrough in quantum computing. *(→ Online Rag Agent)*
 4. What's the current time in London? | What’s today’s date in New York? | What time is it in Taipei right now? *(→ Time Agent)*
-5. Will it rain or snow in Sapporo tomorrow night? | Is it too windy for cycling in Amsterdam at 6am? | Do I need to bring an umbrella later this evening in Edinburgh? | Should I wear sunscreen in Bangkok around noon tomorrow? | Is it gonna rain later? | What was the weather like in Paris on last Sunday? | Will it be cold the day after tomorrow around 6:37am in Helsinki? | Will the weather be suitable for hiking next Sunday morning in Lake District?*(→ Weather Agent)*
+5. Will it rain or snow in Sapporo tomorrow night? | Is it too windy for cycling in Amsterdam at 6am? | Do I need to bring an umbrella later this evening in Edinburgh? | Should I wear sunscreen in Bangkok around noon tomorrow? | Is it gonna rain later? | What was the weather like in Paris on last Sunday? | Will the weather be suitable for hiking at 3pm in Lake District?*(→ Weather Agent)*
 6. If I earn $15 per hour and work 8 hours a day for 5 days, how much will I earn? | What is 5 * 22.5 / sin(45) | 3^3 + 4^2 | Calculate 25 * log(1000) | What is the square root of 144 *(→ Math Agent)*
 7. Who are you? | What can you do? | What is the meaning of life? *(→ General Chat Agent)*