Skill Routing

Skill Routing is the automated process of selecting the most appropriate skill (or model) to handle a given request — typically driven by an LLM analyzing the request and choosing from available options. Routing decisions consider intent (what is the user trying to accomplish?), cost (which option is cheapest while meeting quality bar?), capabilities (does the skill support the needed format/domain?), and policy (is this user authorized for this skill?). Real-world applications include AI customer-support systems that route requests to specialized skills (billing questions to billing skill, technical questions to technical skill), multi-model routing that sends simple queries to cheap models and complex queries to expensive models, and agentic AI that decides at each step which tool to invoke. Tools supporting skill routing include LangChain routers, LlamaIndex agents, Microsoft Semantic Kernel planner, OpenAI Assistants API with multiple skills, and emerging routing-specific platforms like Martian and OpenRouter. AI governance, AI compliance, and AI risk management programs treat routing decisions as auditable events supporting responsible AI in dynamic enterprise AI applications.

Centralpoint Routes Across Models and Skills Intelligently: Oxcyon's Centralpoint AI Governance Platform routes each request to the right model (OpenAI, Gemini, Llama, embedded) and the right skill — logging every routing decision. Centralpoint meters consumption, keeps prompts and skills on-prem, and embeds routing-enabled chatbots into your portals via a single JavaScript line.


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