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adding new docs

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João Moura
2025-04-07 02:46:22 -04:00
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docs/concepts/tasks.mdx
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@@ -12,6 +12,18 @@ Tasks provide all necessary details for execution, such as a description, the ag
Tasks within CrewAI can be collaborative, requiring multiple agents to work together. This is managed through the task properties and orchestrated by the Crew's process, enhancing teamwork and efficiency.
<Note type="info" title="Enterprise Enhancement: Visual Task Builder">
CrewAI Enterprise includes a Visual Task Builder in Crew Studio that simplifies complex task creation and chaining. Design your task flows visually and test them in real-time without writing code.
![Task Builder Screenshot](../images/enterprise/crew-studio-quickstart.png)
The Visual Task Builder enables:
- Drag-and-drop task creation
- Visual task dependencies and flow
- Real-time testing and validation
- Easy sharing and collaboration
</Note>
### Task Execution Flow
Tasks can be executed in two ways:
@@ -414,7 +426,7 @@ It's also important to note that the output of the final task of a crew becomes
### Using `output_pydantic`
The `output_pydantic` property allows you to define a Pydantic model that the task output should conform to. This ensures that the output is not only structured but also validated according to the Pydantic model.
Here’s an example demonstrating how to use output_pydantic:
Here's an example demonstrating how to use output_pydantic:
```python Code
import json
@@ -495,7 +507,7 @@ In this example:
### Using `output_json`
The `output_json` property allows you to define the expected output in JSON format. This ensures that the task's output is a valid JSON structure that can be easily parsed and used in your application.
Here’s an example demonstrating how to use `output_json`:
Here's an example demonstrating how to use `output_json`:
```python Code
import json