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docs/how-to/human-input-on-execution.mdx

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+---
+title: Human Input on Execution
+description: Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent's attributes and tools.
+icon: user-check
+---
+
+## Human input in agent execution
+
+Human input is critical in several agent execution scenarios, allowing agents to request additional information or clarification when necessary. 
+This feature is especially useful in complex decision-making processes or when agents require more details to complete a task effectively.
+
+## Using human input with CrewAI
+
+To integrate human input into agent execution, set the `human_input` flag in the task definition. When enabled, the agent prompts the user for input before delivering its final answer. 
+This input can provide extra context, clarify ambiguities, or validate the agent's output.
+
+### Example:
+
+```shell
+pip install crewai
+```
+
+```python 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)
+```