Augmenting a network graph with agentic AI produces a “digital twin” that can help isolate network failures.
Read the original at Amazon Science: Graph-centric agentic intelligence
How OpenSmartRoute helps
A team using OpenSmartRoute gains immediate visibility into how agentic intelligence impacts their network costs and safety. The router scores every candidate on quality, cost, speed, and safety before sending a request. This prevents expensive models from handling tasks that cheaper alternatives can solve well.
The system sets up hard rules to keep personal data on-premises and never cross a region or cost cap. An input guard spots prompt injection and personal data before a request leaves the environment. This ensures the digital twin remains secure while it isolates network failures.
A savings ledger shows what each routed request cost next to the most expensive model price. The team sees exactly how much money the agentic approach saves compared to a baseline. New models enter the catalogue as single entries and compete on the next request. Nothing else changes in the app when the routing logic updates.