I want to split a large set of data into multiple smaller parts (split by an agent), then assign them to multiple same(or not same) agents/workflows/teams for parallel execution, and finally merge the results.
I can manually split the data and assign tasks, but I want to know if agno can handle this entirely on its own.
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Yes! There are various ways and it depends on how you want to construct it specifically.
Perhaps a collaborative team could work Collaborate - Agno
Otherwise the Coordinate - Agno coordinate team
For both of these I can recommend running in async mode, i.e. to use arun or aprint_response
@Dirk Hi, thank your for your reply. What I mean is the parallelization task is planned by agent, not by human. could you provide some demo code?
Yes so the links I provided is for a team of agents, where the Team actually is itself an agent. So it does plan which agents in the team to call. If run in async mode, then these functions are also run in parallel, so it then achieves parallelization