Tasks
Overview
Overview of task types available in Compozy for building AI-powered workflows
Tasks Overview
Tasks are the fundamental building blocks of Compozy workflows. They represent individual operations that can be executed as part of your AI-powered applications. Each task type is designed for specific use cases, from simple operations to complex orchestration patterns.
Basic Tasks
Simple, single-operation tasks that form the foundation of all workflows. Perfect for API calls, data processing, and straightforward operations.
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Router Tasks
Intelligent routing based on conditions and dynamic data. Route workflow execution to different paths based on runtime decisions.
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Aggregate Tasks
Combine and transform data from multiple sources into unified results. Ideal for data consolidation and analysis workflows.
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Collection Tasks
Process arrays and collections with advanced filtering, mapping, and transformation capabilities for data-intensive operations.
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Composite Tasks
Orchestrate multiple sub-tasks with different execution strategies. Build complex workflows from simpler components.
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Parallel Processing
Execute multiple tasks concurrently with configurable strategies for maximum performance and efficiency.
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Memory Tasks
Persistent data storage and retrieval within workflows. Manage state, cache results, and share data across task executions.
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Signal Tasks
Event-driven task execution through signal publishing and subscription. Enable reactive and loosely-coupled workflow patterns.
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Wait Tasks
Coordinate workflows through signals and events. Pause execution until specific conditions are met or signals are received.
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Getting Started
New to Compozy tasks? Start with Basic Tasks to understand the fundamentals, then explore Parallel Processing to build more sophisticated workflows.
For production deployments, consider enterprise-grade orchestration techniques and best practices.