What is LLM Orchestration?
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.
Frequently Asked Questions
What are common components in LLM orchestration?
Components include task routers, system prompts, API rate limiting, and tool management modules.
What challenges does LLM orchestration solve?
It enables complex multi-tool workflows, context-aware automation, and scalable agentic architectures.
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