LLM Orchestration
Coordinating multiple model calls, tools, and data sources into one reliable system.
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LLM Orchestration is the control layer that decides which model runs, in what order, with what context, and how outputs flow between steps — turning isolated prompts into a production system. Coordinating multiple model calls, tools, and data sources into one reliable system.
What is LLM Orchestration?
LLM Orchestration is the control layer that decides which model runs, in what order, with what context, and how outputs flow between steps — turning isolated prompts into a production system.
What is an example of LLM Orchestration?
A pipeline routes simple questions to a fast model, escalates complex ones to a reasoning model, and falls back to a human when confidence is low.
Why does LLM Orchestration matter for AI and automation?
Coordinating multiple model calls, tools, and data sources into one reliable system. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.