Skip to main contentA DAG (Directed Acyclic Graph) is a type of graph structure that consists of nodes and directed edges, where:
- Each edge has a direction (from one node to another)
- There are no cycles โ you cannot start from a node and return to it by following the direction of the edges
In simple terms, a DAG is like a flowchart where tasks move in one direction and never loop back.
Why DAGs Matter in Orchestration
In orchestration systems like Lyzr Agent Orchestration (LAO), DAGs play a critical role in defining task flows or execution pipelines. Each task or agent is represented as a node, and the edges define the order of execution.
๐ ๏ธ Benefits of Using DAGs in Orchestration
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Clear Task Dependencies
DAGs allow you to define which tasks depend on others, making the execution order explicit and easy to visualize.
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Parallel Execution
Independent branches of a DAG can run in parallel, improving performance and efficiency.
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Failure Isolation
Since each node is isolated and independent, failures can be detected and handled without collapsing the entire pipeline.
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Reproducibility
By defining a clear execution flow, DAGs make processes predictable, repeatable, and easier to debug.