The process of coordinating large language models (LLMs), tools, and workflows to accomplish complex tasks.
More about LLM Orchestration
LLM Orchestration refers to the coordination and management of large language models, tools, and external resources to execute advanced tasks or workflows. It typically involves tool integration, context injection, and sometimes chaining or routing between multiple LLMs or APIs.
LLM orchestration is crucial for building production-grade AI agents, supporting agentic workflows, and ensuring robust, scalable multi-step automation.