diff --git a/test_client.py b/test_client.py
index e151a23..ea0e685 100644
--- a/test_client.py
+++ b/test_client.py
@@ -4,7 +4,6 @@ Simple Python script to interact with local LLM server's OpenAI-compatible API
 """
 
 import requests
-import json
 import sys
 
 # Local LLM server configuration
diff --git a/test_llm.py b/test_llm.py
deleted file mode 100644
index 944d3e7..0000000
--- a/test_llm.py
+++ /dev/null
@@ -1,74 +0,0 @@
-#!/usr/bin/env python3
-"""
-Simple Python script to interact with local LLM server's OpenAI-compatible API
-"""
-
-import requests
-
-# Local LLM server configuration
-LLM_SERVER_URL = "http://localhost:8080/v1/chat/completions"
-MODEL_NAME = "proxy-test"  # Default model name, can be changed based on your setup
-
-def send_message(message, model=MODEL_NAME, temperature=0.7, max_tokens=1000):
-    """
-    Send a message to local LLM server API
-    
-    Args:
-        message (str): The message to send
-        model (str): Model name (depends on your LLM server setup)
-        temperature (float): Controls randomness (0.0 to 1.0)
-        max_tokens (int): Maximum tokens in response
-    
-    Returns:
-        str: The AI response or error message
-    """
-    
-    headers = {
-        "Content-Type": "application/json",
-        "Authorization": "Bearer test-inf"
-    }
-    
-    data = {
-        "model": model,
-        "messages": [
-            {
-                "role": "user",
-                "content": message
-            }
-        ],
-        "temperature": temperature,
-        "max_tokens": max_tokens,
-        "stream": False
-    }
-    
-    response = requests.post(LLM_SERVER_URL, headers=headers, json=data, timeout=60)
-    response.raise_for_status()
-    
-    result = response.json()
-    return result["choices"][0]["message"]["content"]
-
-def main():
-    """Run in interactive mode for continuous conversation"""
-    print("Local LLM Chat Client")
-    print("-" * 40)
-    
-    while True:
-        try:
-            user_input = input("\nYou: ").strip()
-                
-            if not user_input:
-                continue
-                
-            print("AI: ", end="", flush=True)
-            response = send_message(user_input)
-            print(response)
-            
-        except KeyboardInterrupt:
-            print("\nGoodbye!")
-            break
-        except EOFError:
-            print("\nGoodbye!")
-            break
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file