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chore(docs): bring AMP doc refresh from release/v1.0.0 into main (#3637)
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* WIP: v1 docs (#3626)

(cherry picked from commit d46e20fa09bcd2f5916282f5553ddeb7183bd92c)

* docs: parity for all translations

* docs: full name of acronym AMP

* docs: fix lingering unused code

* docs: expand contextual options in docs.json

* docs: add contextual action to request feature on GitHub

* chore: tidy docs formatting
This commit is contained in:
Tony Kipkemboi
2025-10-02 11:36:04 -04:00
committed by GitHub
parent f47e0c82c4
commit bf9e0423f2
242 changed files with 8999 additions and 3637 deletions
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docs/en/learn/human-input-on-execution.mdx
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@@ -1,18 +1,18 @@
---
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
icon: user-plus
mode: "wide"
---
## Human input in agent execution
Human input is critical in several agent execution scenarios, allowing agents to request additional information or clarification when necessary.
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.
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:
@@ -96,4 +96,4 @@ result = crew.kickoff()
print("######################")
print(result)
```
```