Sequential Crew
The Sequential Crew component groups agent tasks and executes them in a defined order, enabling streamlined, multi-step workflow automation within your flows.
Component description
How the Sequential Crew component works
Sequential Crew Component
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
| Name | Type | Required | Description |
|---|---|---|---|
| Tasks | List of SequentialTask | No | The set of tasks (each handled by an agent) to be executed in sequence. |
| Max RPM | Integer | No | Maximum requests per minute (RPM) allowed for task execution (default: 100). |
| Show Progress of Agent | Boolean | No | If enabled, displays detailed progress of each agent as they perform their tasks. |
| Cache | Boolean | No | When enabled, caches the results to improve efficiency if the same tasks are rerun. |
- Tasks: This is where you define and input the list of tasks for the crew to execute. Each task should follow the
SequentialTaskformat. - 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
Messageobject 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.
Examples of flow templates using Sequential Crew component
To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the Sequential Crew component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.
Frequently asked questions
- What does the Sequential Crew component do?
The Sequential Crew component organizes and runs a series of agent tasks in a strict sequence, ensuring each step is completed before the next begins.
- When should I use Sequential Crew in my workflow?
Use Sequential Crew when your process requires several tasks to be executed in a specific order, such as multi-stage data processing, validation chains, or any scenario where output from one task is needed for the next.
- Can I monitor the progress of each task?
Yes, the component includes an option to show the progress of each agent during execution for better transparency and monitoring.
- Does Sequential Crew support caching?
The component supports caching, which can improve performance when handling repetitive or similar tasks.
- Where can I find more documentation?
You can find detailed documentation at https://docs.crewai.com/how-to/Sequential/
Try Sequential Crew in FlowHunt
Automate your workflows and handle multi-step tasks with ease using the Sequential Crew component.
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