diff --git a/scripts/chat.py b/scripts/chat.py
index 5938d8f8..9dc14b7c 100644
--- a/scripts/chat.py
+++ b/scripts/chat.py
@@ -1,3 +1,4 @@
+import time
 import openai
 import keys
 
@@ -18,42 +19,47 @@ def create_chat_message(role, content):
     return {"role": role, "content": content}
 
 def chat_with_ai(prompt, user_input, full_message_history, permanent_memory, token_limit, debug = False):
-    """
-    Interact with the OpenAI API, sending the prompt, user input, message history, and permanent memory.
+    while True:
+        try:
+            """
+            Interact with the OpenAI API, sending the prompt, user input, message history, and permanent memory.
 
-    Args:
-    prompt (str): The prompt explaining the rules to the AI.
-    user_input (str): The input from the user.
-    full_message_history (list): The list of all messages sent between the user and the AI.
-    permanent_memory (list): The list of items in the AI's permanent memory.
-    token_limit (int): The maximum number of tokens allowed in the API call.
+            Args:
+            prompt (str): The prompt explaining the rules to the AI.
+            user_input (str): The input from the user.
+            full_message_history (list): The list of all messages sent between the user and the AI.
+            permanent_memory (list): The list of items in the AI's permanent memory.
+            token_limit (int): The maximum number of tokens allowed in the API call.
 
-    Returns:
-    str: The AI's response.
-    """
-    current_context = [create_chat_message("system", prompt), create_chat_message("system", f"Permanent memory: {permanent_memory}")]
-    current_context.extend(full_message_history[-(token_limit - len(prompt) - len(permanent_memory) - 10):])
-    current_context.extend([create_chat_message("user", user_input)])
+            Returns:
+            str: The AI's response.
+            """
+            current_context = [create_chat_message("system", prompt), create_chat_message("system", f"Permanent memory: {permanent_memory}")]
+            current_context.extend(full_message_history[-(token_limit - len(prompt) - len(permanent_memory) - 10):])
+            current_context.extend([create_chat_message("user", user_input)])
 
-    # Debug print the current context
-    if debug:
-        print("------------ CONTEXT SENT TO AI ---------------")
-        for message in current_context:
-            # Skip printing the prompt
-            if message["role"] == "system" and message["content"] == prompt:
-                continue
-            print(f"{message['role'].capitalize()}: {message['content']}")
-        print("----------- END OF CONTEXT ----------------")
+            # Debug print the current context
+            if debug:
+                print("------------ CONTEXT SENT TO AI ---------------")
+                for message in current_context:
+                    # Skip printing the prompt
+                    if message["role"] == "system" and message["content"] == prompt:
+                        continue
+                    print(f"{message['role'].capitalize()}: {message['content']}")
+                print("----------- END OF CONTEXT ----------------")
 
-    response = openai.ChatCompletion.create(
-        model="gpt-4",
-        messages=current_context,
-    )
+            response = openai.ChatCompletion.create(
+                model="gpt-4",
+                messages=current_context,
+            )
 
-    assistant_reply = response.choices[0].message["content"]
+            assistant_reply = response.choices[0].message["content"]
 
-    # Update full message history
-    full_message_history.append(create_chat_message("user", user_input))
-    full_message_history.append(create_chat_message("assistant", assistant_reply))
+            # Update full message history
+            full_message_history.append(create_chat_message("user", user_input))
+            full_message_history.append(create_chat_message("assistant", assistant_reply))
 
-    return assistant_reply
+            return assistant_reply
+        except openai.RateLimitError:
+            print("Error: ", "API Rate Limit Reached. Waiting 60 seconds...")
+            time.sleep(60)