Further enhance and add in advanced NLP enhancements with a more advanced COT that requires multiple functions.

```
import g4f
from g4f.Provider import AmigoChat
import random
import time
import threading

class AdvancedChatbot:
    def __init__(self):
        # List of available providers
        self.providers = [AmigoChat]
        
        # Chat history
        self.conversation_history = []
        
        # Provider rotation index
        self.current_provider_index = 0

        # Initialize AI workers pool
        self.num_workers = 3  # Number of AI workers
        self.worker_responses = []
        
    def get_next_provider(self):
        """Rotate through providers"""
        provider = self.providers[self.current_provider_index]
        self.current_provider_index = (self.current_provider_index + 1) % len(self.providers)
        return provider
    
    def generate_chain_of_thought(self, prompt):
        """Generate a chain-of-thought reasoning prompt"""
        cot_prompt = (
            "You are an advanced AI assistant with hierarchical reasoning abilities. "
            "Engage in deep meta-thinking and provide a detailed chain-of-thought leading to the final answer.\n\n"
            f"User's question: {prompt}\n\n"
            "Your detailed reasoning and answer:"
        )
        return cot_prompt
    
    def ai_worker(self, prompt, worker_id):
        """An AI worker that processes the prompt independently"""
        provider = self.get_next_provider()
        try:
            response = g4f.ChatCompletion.create(
                model="gpt-4o",  # Using a more advanced model
                provider=provider,
                messages=[{"role": "user", "content": prompt}],
                stream=False
            )
            self.worker_responses.append((worker_id, response))
        except Exception as e:
            print(f"Worker {worker_id} error with provider {provider.__name__}: {str(e)}")
            self.worker_responses.append((worker_id, f"Worker {worker_id} encountered an error."))
        
    def aggregate_responses(self):
        """Aggregate responses from AI workers and produce a final answer"""
        # For simplicity, we'll select the most comprehensive response
        if not self.worker_responses:
            return "I'm sorry, I couldn't generate a response at this time."

        # Sort responses by length (as a proxy for comprehensiveness)
        self.worker_responses.sort(key=lambda x: len(x[1]), reverse=True)
        best_response = self.worker_responses[0][1]
        return best_response
    
    def chat(self, user_input):
        """Process user input and generate response with advanced reasoning"""
        # Add user input to history
        self.conversation_history.append({"role": "user", "content": user_input})
        
        # Generate context-aware prompt with chain-of-thought
        context = "\n".join(
            [f"{msg['role'].capitalize()}: {msg['content']}" for msg in self.conversation_history[-3:]]
        )  # Last 3 messages for context
        
        thought_prompt = self.generate_chain_of_thought(user_input)
        full_prompt = f"Previous conversation:\n{context}\n\n{thought_prompt}"
        
        # Start AI workers
        self.worker_responses = []
        threads = []
        for i in range(self.num_workers):
            worker_thread = threading.Thread(target=self.ai_worker, args=(full_prompt, i+1))
            threads.append(worker_thread)
            worker_thread.start()
        
        # Wait for all workers to finish
        for thread in threads:
            thread.join()
        
        # Aggregate responses
        final_response = self.aggregate_responses()
        
        # Add response to history
        self.conversation_history.append({"role": "assistant", "content": final_response})
        
        return final_response, "Advanced AI Workers"
    
    def clear_history(self):
        """Clear conversation history"""
        self.conversation_history = []
        return "Conversation history cleared."
    
def main():
    print("Advanced AI Chatbot with Chain-of-Thought and Hierarchical Reasoning Initialized")
    print("Type 'quit' to exit or 'clear' to clear conversation history")
    print("-" * 50)
    
    chatbot = AdvancedChatbot()
    
    while True:
        user_input = input("\nYou: ").strip()
        
        if user_input.lower() == 'quit':
            print("Goodbye!")
            break
            
        if user_input.lower() == 'clear':
            print(chatbot.clear_history())
            continue
            
        if user_input:
            print("\nProcessing...")
            response, provider = chatbot.chat(user_input)
            print(f"\nAI ({provider}):\n{response}")
            print("-" * 50)
    
if __name__ == "__main__":
    main()