比如一个项目有多个任务,先搜索,然后再生成,搜索需要使用gpt4或搜索引擎,生成使用gpt3.5。通过crewAI定义多agent,多task实现。
crewAI源码很简单,不涉及AI功能。
pip install crewai
pip install duckduckgo-search
import os
from crewai import Agent, Task, Crew, Process
os.environ["OPENAI_API_KEY"] = "YOUR KEY"
from langchain.tools import DuckDuckGoSearchRun
search_tool = DuckDuckGoSearchRun()
# 定义一个拥有 DuckDuckGoSearchRun 搜索归纳功能的 Agent
researcher = Agent(
role='Senior Research Analyst', # 高级研究分析师
goal='Uncover cutting-edge developments in AI and data science in',
backstory="""You work at a leading tech think tank.
Your expertise lies in identifying emerging trends.
You have a knack for dissecting complex data and presenting
actionable insights.""",
verbose=True,
allow_delegation=False,
tools=[search_tool]
)
# 定义一个
writer = Agent(
role='Tech Content Strategist', # 技术内容策略师
goal='Craft compelling content on tech advancements',
backstory="""You are a renowned Content Strategist, known for
your insightful and engaging articles.
You transform complex concepts into compelling narratives.""",
verbose=True,
allow_delegation=True,
# (optional) llm=ollama_llm
)
# 任务一,通过 DuckDuckGoSearchRun 搜索引擎归纳关键词
task1 = Task(
description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
Identify key trends, breakthrough technologies, and potential industry impacts.
Your final answer MUST be a full analysis report""",
agent=researcher
)
# 任务二,基于任务一的归纳,写一篇博客
task2 = Task(
description="""Using the insights provided, develop an engaging blog
post that highlights the most significant AI advancements.
Your post should be informative yet accessible, catering to a tech-savvy audience.
Make it sound cool, avoid complex words so it doesn't sound like AI.
Your final answer MUST be the full blog post of at least 4 paragraphs.""",
agent=writer
)
# 定义
crew = Crew(
agents=[researcher, writer],
tasks=[task1, task2],
verbose=2, # You can set it to 1 or 2 to different logging levels
)
# 执行
result = crew.kickoff()
print("######################")
print(result)