AI / CrewAI Interview Questions
How does context passing work between dependent Tasks in CrewAI?
When one task's output is needed by a later task, CrewAI lets that later task reference the earlier one so its structured TaskOutput becomes part of the later task's input context.
- Because TaskOutput can expose results as raw text, JSON, or a Pydantic model, dependent tasks can consume structured data rather than parsing free text themselves
- This context passing is what allows a Sequential process to function as a genuine pipeline, not just a series of unrelated task executions
- In a Hierarchical process, the manager can also factor prior task results into how it assigns and validates subsequent tasks
This mechanism is central to building multi-step workflows, like research feeding into drafting feeding into review, without manually shuttling text between agents yourself.
What allows a later task to consume structured data from an earlier one?
What does context passing let the Sequential process function as?
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