What is AI Orchestration?
The coordination and management of multiple AI agents or LLM calls within a system.
Definition
AI orchestration refers to the layer that manages how multiple AI agents, LLM calls, tools, and data flows work together in a system. An orchestrator decides which agent or model handles which task, routes outputs between agents, manages state and context, and handles error recovery. It's the 'conductor' of a multi-agent system.
Example
A sales automation system uses an orchestrator: the prospecting agent finds leads → the research agent enriches them → the outreach agent writes emails → the logging agent updates the CRM. The orchestrator sequences these and passes outputs between them.
AI Orchestration vs ai-agent: What's the difference?
The coordination and management of multiple AI agents or LLM calls within a system.
An agent performs a task. Orchestration manages how multiple agents or steps work together toward a larger goal.