fix: modify test

examples/cot_agent_example.py

@@ -19,7 +19,7 @@ async def main():
     agent = CoTAgent()
 
     # Provide a problem that requires thinking
-    question = "Zhang, Li, and Wang have a total of 85 apples. Zhang has twice as many apples as Li, and Wang has 5 more apples than Li. How many apples does each person have?"
+    question = "How do you put an elephant into a refrigerator?"
 
     logger.info(f"Question: {question}")
 

examples/multi_step_cot_example.py

@@ -1,55 +0,0 @@
-#!/usr/bin/env python3
-"""
-Multi-step CoT Agent Example - Demonstrates how to use Chain of Thought mode in multi-turn conversations
-"""
-
-import asyncio
-import sys
-from pathlib import Path
-
-# Add project root directory to path
-sys.path.append(str(Path(__file__).resolve().parent.parent))
-
-from app.agent import CoTAgent
-from app.logger import logger
-from app.schema import Message
-
-
-async def main():
-    # Create CoT agent
-    agent = CoTAgent(max_steps=3)  # Set maximum steps to 3
-
-    # Initial question
-    initial_question = "As artificial intelligence technology develops, what ethical challenges might we face?"
-
-    logger.info(f"Initial question: {initial_question}")
-
-    # Add initial question to agent's memory
-    agent.memory.add_message(Message.user_message(initial_question))
-
-    # Step 1: Get initial thoughts
-    logger.info("Step 1: Initial thoughts")
-    response1 = await agent.step()
-    print(f"\nResponse:\n{response1}\n")
-
-    # Step 2: Ask follow-up question
-    follow_up_question = "Among the ethical challenges you mentioned, which one do you think is most urgent to address? Why?"
-    logger.info(f"Follow-up question: {follow_up_question}")
-
-    agent.memory.add_message(Message.user_message(follow_up_question))
-    response2 = await agent.step()
-    print(f"\nResponse:\n{response2}\n")
-
-    # Step 3: Ask final follow-up
-    final_question = "Can you suggest some specific solutions for addressing this most urgent ethical challenge?"
-    logger.info(f"Final question: {final_question}")
-
-    agent.memory.add_message(Message.user_message(final_question))
-    response3 = await agent.step()
-    print(f"\nResponse:\n{response3}\n")
-
-    logger.info("Multi-step CoT conversation complete!")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())