Crew Sequenziale

The Sequential Crew component is designed to organize and execute multiple AI agent tasks in a strict sequence, one after the other. This structure is particularly useful for building workflows where the output of one task can inform or trigger the next, ensuring a controlled and logical progression through your AI pipeline.

What Does This Component Do?

Sequential Crew acts as a manager for a group of agents, ensuring that their assigned tasks are executed in a specific order. Each agent completes its task before the next one begins, allowing for clear task dependencies and step-by-step workflow construction. This is ideal for scenarios where tasks must be performed in a certain sequence, such as data preprocessing, analysis, and reporting.

Key Inputs

• Tasks: This is where you define and input the list of tasks for the crew to execute. Each task should follow the SequentialTask format.
• Max RPM: Controls how many tasks can be processed per minute, which is useful for rate-limiting or adhering to external service limits.
• Show Progress: When set to true, provides transparency into the execution flow by showing what each agent is doing at any moment.
• Cache: Enables caching, allowing the system to reuse results from previous runs to save on computation and time.

Output

• Output: The component outputs a Message object which typically contains the final result after all tasks have been executed in sequence.

Why Use Sequential Crew?

• Task Dependency Management: Ensures that each task is executed only after the previous one finishes, making it easy to build dependent, multi-step workflows.
• Transparency & Debugging: The ability to show agent progress helps you to monitor, debug, and optimize your workflow.
• Efficiency: The caching option saves computation by preventing redundant task execution.
• Rate Control: By setting Max RPM, you avoid overwhelming external APIs or hitting rate limits.

Example Use Cases

• Data ingestion → data cleaning → data analysis → report generation
• Multi-step document processing (e.g., OCR → translation → summarization)
• Any workflow where outputs from one step are required as inputs for the next

Documentation

For detailed usage instructions, visit the Sequential Crew documentation .

Summary:
The Sequential Crew component is essential for orchestrating ordered, multi-step AI workflows, providing control, efficiency, and transparency as your agents work together in sequence.