swarms/docs/swarms/structs/task.md

• This is the class for the Task
• For the constructor, it takes in the description, agent, args, kwargs, result, history, schedule_time, scheduler, trigger, action, condition, priority, and dependencies
• The execute method runs the task by calling the agent or model with the arguments and keyword arguments
• It sets a trigger, action, and condition for the task
• Task completion is checked with is_completed method
• add_dependency adds a task to the list of dependencies
• set_priority sets the priority of the task

# Example 1: Creating and executing a Task
from swarms.structs import Task, Agent
from swarms.models import OpenAIChat
agent = Agent(llm=OpenAIChat(openai_api_key=""), max_loops=1, dashboard=False)
task = Task(agent=agent)
task.execute("What's the weather in miami")
print(task.result)

# Example 2: Adding a dependency and setting priority
task2 = Task(description="Task 2", agent=agent)
task.add_dependency(task2)
task.set_priority(1)

# Example 3: Executing a scheduled task
task3 = Task(description="Scheduled Task", agent=agent)
task3.schedule_time = datetime.datetime.now() + datetime.timedelta(minutes=30)
task3.handle_scheduled_task()
print(task3.is_completed())