CrewAI — framework multi-Agent basado en roles (guía 2026)

Quick Start — 3-Agent Research Crew

Los tres Agents se ejecutan secuencialmente — la salida del investigador alimenta al redactor, que alimenta al editor. Cambia a process=Process.hierarchical para añadir un agent manager que decide dinámicamente la asignación de tareas. allow_delegation=True permite que un Agent delegue subtareas a otro miembro del equipo.

# pip install crewai crewai-tools
import os
from crewai import Agent, Task, Crew, Process
from crewai_tools import SerperDevTool

os.environ["OPENAI_API_KEY"] = "sk-..."
os.environ["SERPER_API_KEY"] = "..."

search = SerperDevTool()

researcher = Agent(
    role="Senior research analyst",
    goal="Find authoritative facts on a given topic",
    backstory="A 10-year industry analyst with an allergy to unsourced claims.",
    tools=[search],
    allow_delegation=False,
    verbose=True,
)
writer = Agent(
    role="Technical writer",
    goal="Turn research notes into a crisp 300-word brief",
    backstory="Writes for developers who hate fluff.",
    allow_delegation=False,
)
editor = Agent(
    role="Editor",
    goal="Enforce brevity and factual accuracy",
    backstory="Former tech-book editor. Cuts 30% of every draft.",
    allow_delegation=True,
)

research_task = Task(description="Research the state of multi-agent frameworks in 2026.",
                    agent=researcher, expected_output="A bullet list with citations.")
draft_task    = Task(description="Draft a 300-word brief from the research.",
                    agent=writer, expected_output="A short brief.")
edit_task     = Task(description="Edit and finalize the brief.",
                    agent=editor, expected_output="The final 300-word brief.")

crew = Crew(
    agents=[researcher, writer, editor],
    tasks=[research_task, draft_task, edit_task],
    process=Process.sequential,
    verbose=True,
)
print(crew.kickoff())

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