Architecting high-performance gateways that scrub input prompts, evaluate safety rules, and direct queries to optimized private model containers.
Deploying a single massive model for all business tasks results in elevated latency and computation costs. This LLM routing architecture acts as a traffic control plane, directing basic requests to fast sub-7B models while reserving larger parameter models for high-value reasoning. All evaluation occurs locally behind the firewalls.
API requests enter the gateway proxy. A lightweight security filter evaluates the text, scrubbing personal identifiers, database keys, and proprietary codes.
A rapid, local routing classifier parses the user query, identifying the required skill type (e.g. database query, formatting task, or complex compliance audit).
Basic queries are routed to smaller parameter local instances, optimizing GPU memory. Complex legal or geological queries are dispatched to multi-GPU clusters running larger models.
Model answers are checked for compliance and accuracy against corporate rules before returning to the requesting client app.