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AI Agent Orchestration
Definition
AI agent orchestration is the coordination and management of one or more AI agents, defining how they are created, scheduled, communicate, and collaborate to achieve a shared or individual set of goals.
Purpose
The purpose of AI agent orchestration is to ensure reliable, scalable, and predictable execution of agent-based systems by controlling agent interactions, task delegation, and lifecycle management.
Key Characteristics
- Coordination of multiple agents or agent instances
- Explicit control over agent lifecycle and execution order
- Task decomposition and delegation across agents
- Managed communication and data exchange between agents
- Monitoring, error handling, and recovery mechanisms
Usage in Practice
In practice, AI agent orchestration is used to manage multi-step workflows, distribute tasks across specialized agents, coordinate tool usage, and ensure that complex objectives are completed reliably in enterprise and production environments.
One implementation of this concept is offered by Kenaz through the AI Agents Pipeline service.