条件任务
介绍¶
crewAI 中的条件任务允许根据先前任务的结果动态调整工作流程。这个强大的功能使得团队能够根据情况做出决策并选择性地执行任务,从而增强了您基于 AI 的流程的灵活性和效率。
from typing import List
from pydantic import BaseModel
from crewai import Agent, Crew
from crewai.tasks.conditional_task import ConditionalTask
from crewai.tasks.task_output import TaskOutput
from crewai.task import Task
from crewai_tools import SerperDevTool
# Define a condition function for the conditional task
# if false task will be skipped, true, then execute task
def is_data_missing(output: TaskOutput) -> bool:
return len(output.pydantic.events) < 10: # this will skip this task
# Define the agents
data_fetcher_agent = Agent(
role="Data Fetcher",
goal="Fetch data online using Serper tool",
backstory="Backstory 1",
verbose=True,
tools=[SerperDevTool()],
)
data_processor_agent = Agent(
role="Data Processor",
goal="Process fetched data",
backstory="Backstory 2",
verbose=True,
)
summary_generator_agent = Agent(
role="Summary Generator",
goal="Generate summary from fetched data",
backstory="Backstory 3",
verbose=True,
)
class EventOutput(BaseModel):
events: List[str]
task1 = Task(
description="Fetch data about events in San Francisco using Serper tool",
expected_output="List of 10 things to do in SF this week",
agent=data_fetcher_agent,
output_pydantic=EventOutput,
)
conditional_task = ConditionalTask(
description="""
Check if data is missing. If we have less than 10 events,
fetch more events using Serper tool so that
we have a total of 10 events in SF this week..
""",
expected_output="List of 10 Things to do in SF this week ",
condition=is_data_missing,
agent=data_processor_agent,
)
task3 = Task(
description="Generate summary of events in San Francisco from fetched data",
expected_output="summary_generated",
agent=summary_generator_agent,
)
# Create a crew with the tasks
crew = Crew(
agents=[data_fetcher_agent, data_processor_agent, summary_generator_agent],
tasks=[task1, conditional_task, task3],
verbose=2,
)
result = crew.kickoff()
print("results", result)