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Orchestrations are pre-built workflow patterns that allow developers to quickly create complex workflows by simply plugging in their own AI agents.
Why Multi-Agent?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively.
Supported Orchestrations
| Pattern | Description | Typical Use Case |
|---|---|---|
| Concurrent | Broadcasts a task to all agents, collects results independently. | Parallel analysis, independent subtasks, ensemble decision making. |
| Sequential | Passes the result from one agent to the next in a defined order. | Step-by-step workflows, pipelines, multi-stage processing. |
| Handoff | Dynamically passes control between agents based on context or rules. | Dynamic workflows, escalation, fallback, or expert handoff scenarios. |
| Magentic | Inspired by MagenticOne. | Complex, generalist multi-agent collaboration. |
Next Steps
Explore the individual orchestration patterns to understand their unique features and how to use them effectively in your applications.