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swarms/examples/tasks/task_example 2.py

72 lines
1.9 KiB

import os
from datetime import datetime, timedelta
from swarms import Agent, OpenAIChat
from swarms.prompts.finance_agent_sys_prompt import (
FINANCIAL_AGENT_SYS_PROMPT,
)
from swarms.structs.task import Task
from swarms.utils.loguru_logger import logger
# Example setup
# Get the OpenAI API key from the environment variable
api_key = os.getenv("OPENAI_API_KEY")
# Create an instance of the OpenAIChat class
model = OpenAIChat(
api_key=api_key, model_name="gpt-4o-mini", temperature=0.1
)
# Initialize the agent
agent = Agent(
agent_name="Financial-Analysis-Agent_sas_chicken_eej",
system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
llm=model,
max_loops=1,
autosave=True,
dashboard=False,
verbose=True,
dynamic_temperature_enabled=True,
saved_state_path="finance_agent.json",
user_name="swarms_corp",
retry_attempts=1,
context_length=200000,
return_step_meta=False,
)
# Define a task with a condition and action
def condition_check():
# Example condition: Check if a certain file exists
return os.path.exists("finance_agent.json")
def post_execution_action():
logger.info("Task completed! Post execution action triggered.")
# Schedule the task to run 10 seconds from now
schedule_time = datetime.now() + timedelta(seconds=10)
# Schedule the task for 1 month from now
# schedule_time = datetime.now() + timedelta(days=30)
# Create the task instance
task = Task(
agent=agent,
description="How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria",
condition=condition_check,
action=post_execution_action,
schedule_time=schedule_time,
trigger=None,
)
# Run the task
task.run(
"How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria"
)
# The task will be scheduled to run at the specified time, check the condition,
# execute if the condition is met, and perform the post-execution action.