Definition
In the context of AI agents, orchestration refers to the management and coordination of multiple agents or tasks to achieve a complex goal. It involves defining workflows, managing dependencies, and ensuring seamless interaction between different components.
Why it matters (in Poovi’s context)
Effective orchestration is vital for building robust and scalable AI agent systems, enabling them to handle intricate processes and collaborate efficiently.
Key properties or components
- Workflow management
- Task sequencing
- Agent coordination
- State management
- Error handling
Contradictions or debates
Over-orchestration can lead to rigidity and reduced adaptability in agent behaviour, while under-orchestration can result in chaos and inefficiency.