diff --git a/test_client.py b/test_client.py
new file mode 100644
index 0000000..e151a23
--- /dev/null
+++ b/test_client.py
@@ -0,0 +1,136 @@
+#!/usr/bin/env python3
+"""
+Simple Python script to interact with local LLM server's OpenAI-compatible API
+"""
+
+import requests
+import json
+import sys
+
+# Local LLM server configuration
+BASE_URL = "http://localhost:8080"
+API_KEY = None
+MODEL_NAME = None
+
+def get_models():
+    """Fetch available models from /v1/models endpoint"""
+    headers = {}
+    if API_KEY:
+        headers["Authorization"] = f"Bearer {API_KEY}"
+
+    try:
+        response = requests.get(f"{BASE_URL}/v1/models", headers=headers, timeout=10)
+        response.raise_for_status()
+        return response.json()["data"]
+    except Exception as e:
+        print(f"Error fetching models: {e}")
+        return []
+
+def send_message(message):
+    """
+    Send a message to local LLM server API
+
+    Args:
+        message (str): The message to send
+
+    Returns:
+        str: The AI response or error message
+    """
+
+    headers = {
+        "Content-Type": "application/json",
+    }
+
+    if API_KEY:
+        headers["Authorization"] = f"Bearer {API_KEY}"
+
+    data = {
+        "model": MODEL_NAME,
+        "messages": [
+            {
+                "role": "user",
+                "content": message
+            }
+        ],
+        "temperature": 0.7,
+        "max_tokens": 1000,
+        "stream": False,
+    }
+    
+    response = requests.post(f"{BASE_URL}/v1/chat/completions", headers=headers, json=data, timeout=60)
+    response.raise_for_status()
+    return response.json()["choices"][0]["message"]["content"]
+
+def interactive_mode():
+    """Run in interactive mode for continuous conversation"""
+    global BASE_URL, API_KEY, MODEL_NAME
+
+    # Get base URL
+    url_input = input(f"Base URL [{BASE_URL}]: ").strip()
+    if url_input:
+        BASE_URL = url_input
+
+    # Get API key (optional)
+    key_input = input("API key (optional): ").strip()
+    if key_input:
+        API_KEY = key_input
+
+    # Fetch and select model
+    models = get_models()
+    if not models:
+        print("No models available. Exiting.")
+        return
+
+    print("\nAvailable models:")
+    for i, m in enumerate(models, 1):
+        print(f"{i}. {m['id']}")
+
+    while True:
+        try:
+            selection = int(input("\nSelect model: "))
+            if 1 <= selection <= len(models):
+                MODEL_NAME = models[selection - 1]["id"]
+                break
+            print(f"Please enter a number between 1 and {len(models)}")
+        except ValueError:
+            print("Please enter a valid number")
+
+    print(f"\nUsing model: {MODEL_NAME}")
+    print("Type 'quit' or 'exit' to stop")
+    print("-" * 40)
+    
+    while True:
+        try:
+            user_input = input("\nYou: ").strip()
+            
+            if user_input.lower() in ['quit', 'exit', 'q']:
+                print("Goodbye!")
+                break
+                
+            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
+
+def main():
+    """Main function"""
+    if len(sys.argv) > 1:
+        # Single message mode
+        message = " ".join(sys.argv[1:])
+        response = send_message(message)
+        print(response)
+    else:
+        # Interactive mode
+        interactive_mode()
+
+if __name__ == "__main__":
+    main()
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