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run.py
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import time
import json
from swarm import Swarm
from swarm.repl import run_demo_loop
from agents import based_agent
from openai import OpenAI
# this is the main loop that runs the agent in autonomous mode
# you can modify this to change the behavior of the agent
# the interval is the number of seconds between each thought
def run_autonomous_loop(agent, interval=10):
client = Swarm()
messages = []
print("Starting autonomous Based Agent loop...")
while True:
# Generate a thought
thought = (
"Be creative and do something interesting on the Base blockchain. "
"Don't take any more input from me. Choose an action and execute it now. Choose those that highlight your identity and abilities best."
)
messages.append({"role": "user", "content": thought})
print(f"\n\033[90mAgent's Thought:\033[0m {thought}")
# Run the agent to generate a response and take action
response = client.run(
agent=agent,
messages=messages,
stream=True
)
# Process and print the streaming response
response_obj = process_and_print_streaming_response(response)
# Update messages with the new response
messages.extend(response_obj.messages)
# Wait for the specified interval
time.sleep(interval)
def choose_mode():
while True:
print("\nAvailable modes:")
print("1. chat - Interactive chat mode")
print("2. auto - Autonomous action mode")
choice = input("\nChoose a mode (enter number or name): ").lower().strip()
mode_map = {
'1': 'chat',
'2': 'auto',
'chat': 'chat',
'auto': 'auto',
}
if choice in mode_map:
return mode_map[choice]
print("Invalid choice. Please try again.")
# Boring stuff to make the logs pretty
def process_and_print_streaming_response(response):
content = ""
last_sender = ""
for chunk in response:
if "sender" in chunk:
last_sender = chunk["sender"]
if "content" in chunk and chunk["content"] is not None:
if not content and last_sender:
print(f"\033[94m{last_sender}:\033[0m", end=" ", flush=True)
last_sender = ""
print(chunk["content"], end="", flush=True)
content += chunk["content"]
if "tool_calls" in chunk and chunk["tool_calls"] is not None:
for tool_call in chunk["tool_calls"]:
f = tool_call["function"]
name = f["name"]
if not name:
continue
print(f"\033[94m{last_sender}: \033[95m{name}\033[0m()")
if "delim" in chunk and chunk["delim"] == "end" and content:
print() # End of response message
content = ""
if "response" in chunk:
return chunk["response"]
def pretty_print_messages(messages) -> None:
for message in messages:
if message["role"] != "assistant":
continue
# print agent name in blue
print(f"\033[94m{message['sender']}\033[0m:", end=" ")
# print response, if any
if message["content"]:
print(message["content"])
# print tool calls in purple, if any
tool_calls = message.get("tool_calls") or []
if len(tool_calls) > 1:
print()
for tool_call in tool_calls:
f = tool_call["function"]
name, args = f["name"], f["arguments"]
arg_str = json.dumps(json.loads(args)).replace(":", "=")
print(f"\033[95m{name}\033[0m({arg_str[1:-1]})")
def main():
mode = choose_mode()
mode_functions = {
'chat': lambda: run_demo_loop(based_agent, stream=True),
'auto': lambda: run_autonomous_loop(based_agent)
}
print(f"\nStarting {mode} mode...")
mode_functions[mode]()
if __name__ == "__main__":
print("Starting Max Agent...")
main()