Agent orchestration is a pivotal feature in its initial release, offering multiple workflow models tailored for various tasks. The simplest, sequential orchestration, involves calling agents one by one, utilizing each response to inform the next. In contrast, concurrent orchestration allows multiple agents to operate simultaneously, enhancing efficiency and accelerating workflow progression. Key models include group chat orchestration, where agents collaborate and refine responses collectively, and hand-off orchestration, which evolves sequential processes by dynamically updating prompts based on contextual changes. Additionally, the innovative “magentic” workflow introduces a supervisory agent that manages subsets and integrates human input when necessary, perfect for tackling complex problems previously unsuitable for automation. Given their distinct nature from traditional workflows, thorough experimentation is recommended before deployment. Careful management of base prompts is essential to ensure operations are properly concluded, and agents generate error messages when consensus cannot be reached, rather than producing misleading outputs.
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