multi_agent_collaboration

You can orchestrate multiple agents in parallel by using a central coordinator to trigger delegateParallel for up to three specialized agents. This coordinates simultaneous sub-task execution and merges their independent outputs into a unified result.

Multi-agent coordination is a workflow where a central coordinator delegates sub-tasks like data gathering and analysis to specialized agents. It ensures dependency-aware serial execution and cross-agent synthesis to produce a single coherent answer.

You manage serial workflows with task dependencies by using the delegateToAgent tool sequentially within the orchestration framework. The central coordinator routes each sub-task to the appropriate specialized agent and integrates the results step-by-step.

Yes, you can use a single central coordinator to merge results from cross-agent synthesis. The coordinator integrates outputs from both serial and parallel delegated sub-tasks to produce a unified and coherent final outcome.

The maximum number of parallel agents supported for task delegation is three. The orchestration framework allows a central coordinator to execute up to three specialized agents simultaneously to complete sub-tasks fast.

You need workflow orchestration when a project can be split into distinct sub-tasks or requires cross-agent synthesis. It manages dependency-aware serial execution and parallel delegation to integrate specialized expertise into one result.