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Agent Tasks

Tasks are the specific units of work that AI agents perform. Understanding how to define and manage tasks is essential for creating effective agent systems.

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What is an Agent Task?

Just as human jobs are broken into specific responsibilities, agent systems work best when complex goals are divided into manageable tasks.

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Anatomy of a Task

A well-defined task includes:

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Task Types

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1. Information Tasks

These tasks involve finding, analyzing, or summarizing information.

Examples:

• Research a topic
• Summarize a document
• Extract data from text
• Answer questions

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2. Creation Tasks

These tasks involve generating new content.

Examples:

• Write an article
• Create a marketing plan
• Generate images (with appropriate tools)
• Design a workflow

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3. Analysis Tasks

These tasks involve evaluating information and drawing conclusions.

Examples:

• Analyze data trends
• Review content for quality
• Evaluate options
• Identify patterns

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4. Interaction Tasks

These tasks involve communicating or working with users or other systems.

Examples:

• Answer customer questions
• Guide users through processes
• Collect information from users
• Notify about events

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Creating Tasks in PraisonAI

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Task Flow

The typical lifecycle of a task follows this pattern:

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Task Configuration

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Understanding Tasks

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Task Types

decision_task = Task(
    type="decision",
    conditions={
        "success": ["next_task"],
        "failure": ["error_task"]
    }
)

loop_task = Task(
    type="loop",
    items=data_list,
    operation="process_item"
)

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Task Relationships

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Context Sharing

task_a = Task(name="research")
task_b = Task(
    name="analyze",
    context=[task_a]  # Uses task_a's output
)

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Task Best Practices

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Common Task Mistakes

In the next lesson, we’ll learn about creating your first complete agent application.