CrewAI：构建 LLM 多智能体工作流的框架 2026 版

from crewai import Agent

researcher = Agent(
    role='科技研究员',
    goal='研究用户最新的 AI 趋势',
    backstory='你是一位专注于前沿技术的研究员',
    verbose=True
)

from crewai import Task

task = Task(
    description='分析 Ray 框架的最新应用场景',
    agent=researcher,
    expected_output='200字摘要'
)

from crewai import Crew

crew = Crew(
    agents=[researcher, writer],
    tasks=[task1, task2],
    verbose=True
)

result = crew.kickoff()

from crewai.tools import tool

@tool("Search Tool")
def search_tool(query: str) -> str:
    return search_web(query)

researcher = Agent(
    role='研究员',
    tools=[search_tool],
    ...
)

crew = Crew(
    agents=[planner, researcher, writer, reviewer],
    tasks=[plan_task, research_task, write_task, review_task],
    process=Process.sequential  # 默认顺序
)

crew = Crew(
    agents=[analyst1, analyst2],
    tasks=[task1, task2],
    process=Process.hierarchical  # 树形协作
)

from crewai.tools import tool

@tool("Custom Calculation")
def calculate(input_data: str) -> str:
    """执行自定义计算"""
    return eval(input_data)

# 1. 规划师
planner = Agent(role='项目规划师', goal='规划调研计划')

# 2. 数据收集
collector = Agent(role='数据收集员', goal='收集目标市场数据')
collector.add_tool(web_search)
collector.add_tool(api_call)

# 3. 分析师
analyzer = Agent(role='数据分析师', goal='深度分析数据')
analyzer.add_tool(calculation)

# 4. 撰稿人
writer = Agent(role='撰稿人', goal='产出报告')
writer.add_tool(document_reader)

crew = Crew(agents=[planner, collector, analyzer, writer])
result = crew.kickoff()

coder = Agent(role='程序员', goal='编写代码')
tester = Agent(role='测试工程师', goal='编写测试')
reviewer = Agent(role='代码审查员', goal='审查代码')

coding_task = Task(description='实现用户登录功能')
testing_task = Task(description='编写登录测试用例')
review_task = Task(description='审查代码质量')

crew = Crew(agents=[coder, tester, reviewer])

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(model='gpt-4', temperature=0.7)

agent = Agent(
    llm=llm,
    ...
)

from crewai.memory import LongTermMemory, ShortTermMemory

agent = Agent(
    long_term_memory=LongTermMemory(),
    short_term_memory=ShortTermMemory(),
    ...
)

pip install crewai
export OPENAI_API_KEY=sk-xxx
python crew.py

FROM python:3.10
RUN pip install crewai
CMD ["python", "main.py"]