92 lines
3.2 KiB
Python
Executable File
92 lines
3.2 KiB
Python
Executable File
#!/usr/bin/env python3
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import json
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import readline
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import signal
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import socket
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import sys
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from openai import OpenAI
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from termcolor import colored
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from config import OPENAI_KEY
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from lib.openai.bash import func_run_bash
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from lib.openai.functs import function_description
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from lib.openai.talk import func_talk
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from lib.personality import load_personality
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def signal_handler(sig, frame):
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print()
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sys.exit(0)
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# Keep pycharm from removing this import.
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readline.get_completion_type()
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signal.signal(signal.SIGINT, signal_handler)
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client = OpenAI(api_key=OPENAI_KEY)
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temp_name = 'Sakura'
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character_card = load_personality('Sakura', 'a shy girl', 'a desktop computer', 'Use Japanese emoticons.')
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context: list[dict[str, str]] = [character_card]
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def main():
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print(colored(f'System Management Intelligence Interface', 'green', attrs=['bold']) + ' ' + colored(temp_name, 'green', attrs=['bold', 'underline']) + colored(' on ', 'green', attrs=['bold']) + colored(socket.gethostname(), 'green', attrs=['bold', 'underline']) + '\n')
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while True:
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next_input = str(input('> '))
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print('')
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context.append({'role': 'user', 'content': next_input})
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i = 0
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while True:
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temp_context = context
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if i > 0:
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# Insert a prompt if this is not the first message.
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temp_context.append({'role': 'system', 'content': 'Run another command or call "talk" to communicate with the user.'})
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response = client.chat.completions.create(
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model="gpt-4",
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messages=temp_context,
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functions=function_description,
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temperature=0.7
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)
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function_call = response.choices[0].message.function_call
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if function_call:
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function_name = function_call.name
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function_arguments = function_call.arguments
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if function_name == 'talk':
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response_text = func_talk(response)
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context.append({'role': 'assistant', 'content': response_text})
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print(colored(response_text, 'blue') + '\n')
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break
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elif function_name == 'end_chat':
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print(colored('The AI has terminated the connection.', 'red', attrs=['bold']))
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sys.exit(1)
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print(f'Executing {function_name}("{function_arguments}")' + '\n')
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if function_name != 'run_bash':
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context.append({'role': 'system', 'content': f'"{function_name}" is not a valid function.'})
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else:
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command_output = func_run_bash(function_arguments)
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result_to_ai = {
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'stdout': command_output[0],
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'stderr': command_output[1],
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'return_code': command_output[2]
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}
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context.append({'role': 'function', 'name': function_name, 'content': json.dumps(result_to_ai)})
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# Restart the loop to let the agent decide what to do next.
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else:
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context.append({'role': 'system', 'content': f'Must call a function. Use "talk" to communicate with the user.'})
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i += 1
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if __name__ == "__main__":
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main()
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