Update bot.py

asynchronous processing and a basic structure for handling user-specific contexts.  Needs further testing.

bot.py

@@ -5,7 +5,9 @@ import configparser
 import openai
 import time
 import textwrap
+import asyncio
 
+# Configuration and Initialization
 config = configparser.ConfigParser()
 config.read('/path/to/config/config.ini')
 openai.api_key = config['openai']['api_key']
@@ -16,7 +18,7 @@ botnick = "Nickname"
 nspass = "NICKSERV_PASSWORD"
 modeset = "+B"
 
-print(channel)
+# Connect to IRC
 irc = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
 irc.connect((server, 6667))
 irc.send(bytes("USER "+ botnick +" "+ botnick +" "+ botnick + " " + botnick + "\n", "UTF-8"))
@@ -27,24 +29,10 @@ time.sleep(5)
 irc.send(bytes("MODE "+ botnick +" "+ modeset +"\n", "UTF-8"))
 time.sleep(5)
 irc.send(bytes("JOIN "+ channel +" "+ server +"\n", "UTF-8"))
-response = irc.recv(2040).decode("UTF-8")
-if "JOIN " + channel in response:
-    print("Joined channel", channel)
-else:
-    print("Error joining channel", channel)
-
-
-# Read and discard any messages in the channel for the next 30 seconds
-start_time = time.time()
-while time.time() - start_time < 15:
-    text = irc.recv(2040).decode("UTF-8")
-
-
-# Now start responding to new messages
-
-previous_messages = []
-max_history_length = 10
 
+# Message Handling
+async def handle_messages():
+    user_contexts = {}
     while True:
         text = irc.recv(2040).decode("UTF-8")
         print(text)
@@ -53,15 +41,25 @@ while True:
             irc.send(bytes('PONG ' + text.split()[1] + '\r\n', "UTF-8"))
 
         if "PRIVMSG" in text and botnick in text:
-        prompt = text.split(botnick)[1].strip()
+            username, prompt = parse_message(text)
-        previous_messages.append({"role": "system", "content": "You are a IRC chat bot for interacting with users using short answers only"})
+            context = user_contexts.get(username, [])
-        previous_messages.append({"role": "user", "content": prompt})
 
-        if len(previous_messages) > max_history_length:
+            context.append({"role": "user", "content": prompt})
-            previous_messages.pop(0)
+            if len(context) > max_history_length:
-        response = openai.ChatCompletion.create(
+                context.pop(0)
+
+            response = await get_openai_response(context)
+            reply = response['choices'][0]['message']['content']
+            print(reply)
+
+            for chunk in textwrap.wrap(reply, 200):
+                irc.send(bytes("PRIVMSG "+ channel +" :"+ chunk +"\n", "UTF-8"))
+            user_contexts[username] = context
+
+async def get_openai_response(context):
+    return openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
-            messages=previous_messages,
+        messages=context,
         temperature=0.85,
         max_tokens=150,
         top_p=1,
@@ -69,9 +67,13 @@ while True:
         presence_penalty=1.0,
     )
 
-        print("Sending:", response)
+def parse_message(text):
-        reply = response['choices'][0]['message']['content']
+    # Implement message parsing logic here
-        print(reply)
+    pass
 
-        for chunk in textwrap.wrap(reply, 200):
+# Main
-            irc.send(bytes("PRIVMSG "+ channel +" :"+ chunk +"\n", "UTF-8"))
+async def main():
+    await handle_messages()
+
+if __name__ == "__main__":
+    asyncio.run(main())