FAQs

How is task execution handled in the hierarchical process?

Where can I get the latest CrewAI documentation?

What are the key differences between Hierarchical and Sequential Processes in CrewAI?

What are the benefits of using memory in the CrewAI framework?

What is the purpose of setting a maximum RPM limit for an agent?

What role does human input play in the execution of tasks within a CrewAI crew?

What advanced customization options are available for tailoring and enhancing agent behavior and capabilities in CrewAI?

In what scenarios is human input particularly useful in agent execution?

What are the different types of memory that are available in crewAI?

How do I use Output Pydantic in a Task?

To use Output Pydantic in a task, you need to define the expected output of the task as a Pydantic model. Here’s a quick example:

1

Define a Pydantic model

from pydantic import BaseModel

class User(BaseModel):
    name: str
    age: int

2

Create a task with Output Pydantic

from crewai import Task, Crew, Agent
from my_models import User

task = Task(
    description="Create a user with the provided name and age",
    expected_output=User,  # This is the Pydantic model
    agent=agent,
    tools=[tool1, tool2]
)

3

Set the output_pydantic attribute in your agent

from crewai import Agent
from my_models import User

agent = Agent(
    role='User Creator',
    goal='Create users',
    backstory='I am skilled in creating user accounts',
    tools=[tool1, tool2],
    output_pydantic=User
)

Here’s a tutorial on how to consistently get structured outputs from your agents:

How can I create custom tools for my CrewAI agents?

How can you control the maximum number of requests per minute that the entire crew can perform?

Getting Started

Features

Integration Docs

How-To Guides

Resources

Hierarchical Process:

Sequential Process:

Which Process is Better for Complex Projects?