How to Guides
Human Input on Execution
操作指南
工具
- Browserbase Web 加载器
- 代码文档 RAG 搜索
- 代码解释器
- Composio 工具
- CSV RAG 搜索
- DALL-E 工具
- 目录RAG搜索
- 目录读取
- DOCX RAG 搜索
- EXA 搜索网页加载器
- 文件读取
- 文件写入
- Firecrawl 爬取网站
- Firecrawl 抓取网站
- Firecrawl 搜索
- Github 搜索
- Google Serper 搜索
- JSON RAG 搜索
- MDX RAG 搜索
- MySQL RAG 搜索
- NL2SQL 工具
- PDF RAG 搜索
- PG RAG 搜索
- 抓取网站
- Selenium 爬虫
- 蜘蛛抓取器
- TXT RAG 搜索
- 视觉工具
- 网站RAG搜索
- XML RAG 搜索
- YouTube 频道 RAG 搜索
- YouTube视频RAG搜索
遥测
How to Guides
执行时的人工输入
在复杂的决策过程中,将CrewAI与人类输入相结合,并充分利用代理的属性和工具的全部能力。
代理执行中的人类输入
在多个代理执行场景中,人工输入至关重要,允许代理在必要时请求额外信息或澄清。 这一功能在复杂的决策过程中或当代理需要更多详细信息以有效完成任务时尤为有用。
使用人类输入与CrewAI
要将人类输入集成到代理执行中,请在任务定义中设置human_input标志。启用后,代理在提供最终答案之前会提示用户输入。
此输入可以提供额外的上下文,澄清歧义,或验证代理的输出。
示例:
pip install crewai
Code
import os
from crewai import Agent, Task, Crew
from crewai_tools import SerperDevTool
os.environ["SERPER_API_KEY"] = "Your Key" # serper.dev API key
os.environ["OPENAI_API_KEY"] = "Your Key"
# Loading Tools
search_tool = SerperDevTool()
# Define your agents with roles, goals, tools, and additional attributes
researcher = Agent(
role='Senior Research Analyst',
goal='Uncover cutting-edge developments in AI and data science',
backstory=(
"You are a Senior Research Analyst at a leading tech think tank. "
"Your expertise lies in identifying emerging trends and technologies in AI and data science. "
"You have a knack for dissecting complex data and presenting actionable insights."
),
verbose=True,
allow_delegation=False,
tools=[search_tool]
)
writer = Agent(
role='Tech Content Strategist',
goal='Craft compelling content on tech advancements',
backstory=(
"You are a renowned Tech Content Strategist, known for your insightful and engaging articles on technology and innovation. "
"With a deep understanding of the tech industry, you transform complex concepts into compelling narratives."
),
verbose=True,
allow_delegation=True,
tools=[search_tool],
cache=False, # Disable cache for this agent
)
# Create tasks for your agents
task1 = Task(
description=(
"Conduct a comprehensive analysis of the latest advancements in AI in 2024. "
"Identify key trends, breakthrough technologies, and potential industry impacts. "
"Compile your findings in a detailed report. "
"Make sure to check with a human if the draft is good before finalizing your answer."
),
expected_output='A comprehensive full report on the latest AI advancements in 2024, leave nothing out',
agent=researcher,
human_input=True
)
task2 = Task(
description=(
"Using the insights from the researcher\'s report, 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. "
"Aim for a narrative that captures the essence of these breakthroughs and their implications for the future."
),
expected_output='A compelling 3 paragraphs blog post formatted as markdown about the latest AI advancements in 2024',
agent=writer,
human_input=True
)
# Instantiate your crew with a sequential process
crew = Crew(
agents=[researcher, writer],
tasks=[task1, task2],
verbose=True,
memory=True,
planning=True # Enable planning feature for the crew
)
# Get your crew to work!
result = crew.kickoff()
print("######################")
print(result)
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