Assistant: 
User: User: import os
import sys
import signal
import g4f
import io
import asyncio

asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())

# UTF-8 çıktısı ayarı
if sys.stdout.encoding.lower() != 'utf-8':
    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')

def clear_terminal():
    os.system('cls' if os.name == 'nt' else 'clear')

GREEN, RED, BLUE, RESET = "\033[92m", "\033[91m", "\033[94m", "\033[0m"

message_history = []

def signal_handler(sig, frame):
    clear_terminal()
    print(f"{BLUE}CTRL+C ile çıkış yapıldı.{RESET}")
    sys.exit(0)

signal.signal(signal.SIGINT, signal_handler)

def call_ai(query: str):
    chat_completion = g4f.ChatCompletion.create(
        model="Copilot",
        messages=message_history + [{"role": "user", "content": query}],
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.7,
        provider=g4f.Provider.Bing
    )
    return chat_completion

def chat():
    global message_history
    clear_terminal()
    
    message_history.append({
        "role": "system",
        "content": ("Sizin adınız Copilot; sohbet botusunuz. Lütfen yanıtlarınızı kısa ve öz tutun ve yanıtlarınızda ** şeklinde metni vurgulamayın, markdown kullanmayın.")
    })
    
    message_history.append({
        "role": "assistant",
        "content": ("Anlaşıldı! Ben Copilot, günlük bilgileri paylaşabilir, kullanıcılarla sohbet edebilir ve ** gibi vurgulamalar yapmadan, markdown kullanmadan kısa, öz yanıtlar verebilirim.")
    })
    
    while True:
        user_message = input(f"{GREEN}Sen: {RESET}")
        if user_message.lower() in ["exit", "çık", "q"]:
            clear_terminal()
            print(f"{BLUE}Sohbet sonlandırıldı.{RESET}")
            break
        elif user_message.lower() in ["clear", "cls"]:
            clear_terminal()
            message_history = [msg for msg in message_history if msg["role"] == "system"]
            continue

        message_history.append({"role": "user", "content": user_message})

        assistant_message = call_ai(user_message)
        print(f"{RED}Bot: {RESET}{assistant_message}\n")
        message_history.append({"role": "assistant", "content": assistant_message})

if __name__ == "__main__":
    chat()

Ai: This script is designed to create a chat interface with an AI model using the `g4f` library. However, there are a few important improvements and clarifications needed to make this code functional and correct based on the assumptions and elements present.

### Key Issues and Improvements:

1. **Library and Functionality Check**:
   - Make sure you have the `g4f` library properly installed, and that it supports the methods you're using. This library and its methods need to be implemented correctly in your environment or replaced with an existing AI interaction library like `openai`.

2. **Signal Handling**:
   - The function `signal_handler` is good for clean exits. Still, you should ensure that `CTRL+C` correctly works with your use case, especially in environments like Jupyter notebooks, where handling signals can work differently.

3. **UTF-8 Output**:
   - The UTF-8 encoding setup is generally beneficial when dealing with non-ASCII text. Ensure this configuration doesn't interfere with your interactive console use.

4. **Asynchronous Setup**:
   - The script sets an asyncio event loop policy for Windows. Ensure your environment needs this specific setup to run correctly.

5. **Chat Functionality**:
   - Throughout this script, the `g4f.ChatCompletion.create` returns a variable `chat_completion`. However, there’s an assumption that this result can be directly printed, which isn't typically how API responses work.

6. **Message Object Structure**:
   - The messages history is maintained to give context to the AI model during subsequent requests. Pay attention to let the AI understand the context with proper formatted role-based messages.

7. **Printing and User Feedback**:
   - The bot response is printed with `RED` text color. Ensure that such ANSI escape sequences are supported by your terminal, like many UNIX systems. Windows terminal might require specific configurations.

8. **Chat Loop**:
   - You already have input handling for various commands like `exit`, `clear`. Ensure that `clear_terminal` function uses the correct command for your OS environment.

### Example Code Snippet with Improvements

Below is a placeholder code snippet assuming the `g4f` behavior is similar to how one might expect a GPT-like API to behave, where the response needs to be parsed or accessed from a JSON-like response object:

```python
def call_ai(query: str):
    # Call to AI and assume a placeholder structure for the response
    chat_completion = g4f.ChatCompletion.create(
        model="Copilot",
        messages=message_history + [{"role": "user", "content": query}],
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.7,
        provider=g4f.Provider.Bing
    )
    # The expected structure of chat_completion
    return chat_completion["choices"][0]["message"]["content"]

def chat():
    global message_history
    clear_terminal()
    
    message_history.append({
        "role": "system",
        "content": ("Your name is Copilot. You're a chatbot. Keep your responses short and do not use markdown or emphasis.")
    })
    
    message_history.append({
        "role": "assistant",
        "content": ("Understood! I am Copilot, ready to provide information and chat without using markdown or emphasis.")
    })
    
    while True:
        user_message = input(f"{GREEN}You: {RESET}")
        if user_message.lower() in ["exit", "çık", "q"]:
            clear_terminal()
            print(f"{BLUE}Chat ended.{RESET}")
            break
        elif user_message.lower() in ["clear", "cls"]:
            clear_terminal()
            continue

        message_history.append({"role": "user", "content": user_message})

        assistant_message = call_ai(user_message)
        print(f"{RED}Bot: {RESET}{assistant_message}\n")
        message_history.append({"role": "assistant", "content": assistant_message})

if __name__ == "__main__":
    chat()
```

### Conclusion
Ensure the `g4f` library and its `ChatCompletion` API method correctly implement or mirror expected AI service behavior. Each component of the script should align with your specific codebase requirements and run environment.
User: kütüphaneleri ekle
Assistant:
Assistant: