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95 lines
3.5 KiB
Markdown
95 lines
3.5 KiB
Markdown
---
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title: Human Input on Execution
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description: Comprehensive guide on integrating CrewAI with human input during execution in complex decision-making processes or when needed help during complex tasks.
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---
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# Human Input in Agent Execution
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Human input plays a pivotal role in several agent execution scenarios, enabling agents to seek additional information or clarification when necessary. This capability is invaluable in complex decision-making processes or when agents need more details to complete a task effectively.
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## Using Human Input with CrewAI
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Incorporating human input with CrewAI is straightforward, enhancing the agent's ability to make informed decisions. While the documentation previously mentioned using a "LangChain Tool" and a specific "DuckDuckGoSearchRun" tool from `langchain_community.tools`, it's important to clarify that the integration of such tools should align with the actual capabilities and configurations defined within your `Agent` class setup.
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### Example:
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```shell
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pip install crewai
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pip install 'crewai[tools]'
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```
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```python
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import os
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from crewai import Agent, Task, Crew
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from crewai_tools import SerperDevTool
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from langchain.agents import load_tools
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os.environ["SERPER_API_KEY"] = "Your Key" # serper.dev API key
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os.environ["OPENAI_API_KEY"] = "Your Key"
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# Loading Human Tools
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human_tools = load_tools(["human"])
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search_tool = SerperDevTool()
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# Define your agents with roles, goals, and tools
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researcher = Agent(
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role='Senior Research Analyst',
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goal='Uncover cutting-edge developments in AI and data science',
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backstory=(
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"You are a Senior Research Analyst at a leading tech think tank."
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"Your expertise lies in identifying emerging trends and technologies in AI and data science."
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"You have a knack for dissecting complex data and presenting actionable insights."
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),
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verbose=True,
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allow_delegation=False,
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tools=[search_tool]+human_tools # Passing human tools to the agent
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)
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writer = Agent(
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role='Tech Content Strategist',
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goal='Craft compelling content on tech advancements',
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backstory=(
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"You are a renowned Tech Content Strategist, known for your insightful and engaging articles on technology and innovation."
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"With a deep understanding of the tech industry, you transform complex concepts into compelling narratives."
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),
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verbose=True,
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allow_delegation=True
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)
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# Create tasks for your agents
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task1 = Task(
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description=(
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"Conduct a comprehensive analysis of the latest advancements in AI in 2024."
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"Identify key trends, breakthrough technologies, and potential industry impacts."
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"Compile your findings in a detailed report."
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"Make sure to check with a human if the draft is good before finalizing your answer."
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),
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expected_output='A comprehensive full report on the latest AI advancements in 2024, leave nothing out',
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agent=researcher,
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)
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task2 = Task(
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description=(
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"Using the insights from the researcher's report, develop an engaging blog post that highlights the most significant AI advancements."
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"Your post should be informative yet accessible, catering to a tech-savvy audience."
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"Aim for a narrative that captures the essence of these breakthroughs and their implications for the future."
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),
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expected_output='A compelling 3 paragraphs blog post formatted as markdown about the latest AI advancements in 2024',
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agent=writer
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)
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# Instantiate your crew with a sequential process
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crew = Crew(
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agents=[researcher, writer],
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tasks=[task1, task2],
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verbose=2
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)
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# Get your crew to work!
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result = crew.kickoff()
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print("######################")
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print(result)
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```
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