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100 lines
3.7 KiB
Plaintext
100 lines
3.7 KiB
Plaintext
---
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title: Input Humano na Execução
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description: Integrando o CrewAI com input humano durante a execução em processos complexos de tomada de decisão e aproveitando ao máximo todos os atributos e ferramentas do agente.
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icon: user-plus
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mode: "wide"
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---
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## Input humano na execução dos agentes
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O input humano é fundamental em vários cenários de execução de agentes, permitindo que os agentes solicitem informações adicionais ou esclarecimentos quando necessário.
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Esse recurso é especialmente útil em processos complexos de tomada de decisão ou quando os agentes precisam de mais detalhes para concluir uma tarefa de forma eficaz.
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## Usando input humano com CrewAI
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Para integrar input humano durante a execução do agente, defina o parâmetro `human_input` na definição da tarefa. Quando ativado, o agente solicitará informações ao usuário antes de fornecer sua resposta final.
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Esse input pode oferecer contexto extra, esclarecer ambiguidades ou validar a saída produzida pelo agente.
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### Exemplo:
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```shell
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pip install crewai
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```
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```python Code
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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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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 Tools
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search_tool = SerperDevTool()
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# Define your agents with roles, goals, tools, and additional attributes
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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]
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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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tools=[search_tool],
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cache=False, # Disable cache for this agent
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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 2025. "
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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 2025, leave nothing out',
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agent=researcher,
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human_input=True
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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 2025',
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agent=writer,
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human_input=True
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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=True,
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memory=True,
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planning=True # Enable planning feature for the crew
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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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