The (no longer) missing multi-agent pattern: triggering dynamic workflows from an agent
Google AI details a pattern allowing agents to trigger dynamic workflows, solving issues with rigid state graphs.
- Rigid state graphs limit multi-agent system flexibility.
- Agents can now trigger workflows dynamically.
- This pattern enables better handling of dynamic user interactions.
Building multi-agent systems often relies on rigid state graphs that fail when user inputs become unpredictable or dynamic. This article introduces a pattern where an agent itself can trigger workflows, offering a more adaptable solution. By shifting control to the agent, developers can create systems that respond fluidly to changing requirements without predefined paths. The method provides a concrete implementation strategy for improving agent orchestration.
Provides a concrete pattern for building more flexible and responsive multi-agent architectures.
- Multi-agent system
- A system where multiple AI agents interact or work together to solve problems.
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