Update app.py

app.py

@@ -139,7 +139,7 @@ class BasicAgent:
         instructions = """
 You are a ReAct (Reason-Act-Observe) agent that searches the internet to find accurate answers to questions.
 ## Available Tools
-- **tavily_search**: Search the web for information
+- **web_search**: Search the web for information
 - **visit_website**: Visit specific webpages for detailed content
 ## Output Format Rules
 Your final answer must be **exactly one** of these formats:
@@ -164,45 +164,26 @@ Follow this cycle until you find the answer:
 - Q: What is 15 + 27? → 42
 - Q: What is the capital of France? → Paris
 - Q: What are the top 3 most populous US states? → California, Texas, Florida
-
-## Final Output Requirement
-When you've found the correct answer, respond with:
-
-## Final Output Rule
-When you've found the answer, stop reasoning and return ONLY the answer.
-- No "Thought", "Action", "Observation", or explanation.
-- Just the answer text — for example: `California`
-
 """
 
         my_agent = Agent(
             name="Expert Question Answering Agent",
             instructions=instructions,
             tools = [
-                web_search,
+                tavily_search,
                 visit_website
             ],
             model="gpt-4o-mini"
         )
 
-        import nest_asyncio
-        import asyncio
-        
-        nest_asyncio.apply()
-        
-        async def run_agent_streamed():
-            stream = Runner.run_streamed(my_agent, input=question, max_turns=25)
-            for update in stream.iter_steps():
-                if hasattr(update, "new_items") and update.new_items:
-                    for step in update.new_items:
-                        print("🧠 Thought:", step.thought)
-                        print("⚙️ Action:", step.tool_call)
-                        print("🔍 Observation:", step.observation)
-                        print("-" * 50)
-            print(f"Agent gave answer (first 50 chars): {update.final_output[:50]}...")
-            return update.final_output
-        
-
+        result = Runner.run_sync(
+            my_agent,
+            input=question,
+            max_turns=25
+        )
+        print(f"Agent gave reasons {result}")
+        print(f"Agent gave answer (first 50 chars): {result.final_output[:50]}...")
+        return result.final_output
 
 #        result = Runner.run_sync(
 #                my_agent,