ZenMux

Connect with one credential, point your existing SDKs to a ZenMux endpoint, and keep coding. The same OpenAI- or Anthropic-style formats you already use continue to work. From there, define routing rules by task, environment, or user tier. Draft creation can favor low-cost engines, while high‑stakes summarization or tool use can select higher‑accuracy options. You can pin a specific model for trials or let the router choose based on past performance.

Day to day, teams watch request traces, timings, and token counts to see what actually happened for each call. If latency creeps up or answers drift in quality, you adjust the route or cap spend without redeploying. Traffic splitting lets you run controlled experiments, compare outputs and costs, and promote the winning setup when the data is clear.

In production, resilience is automatic. When a provider slows, rate‑limits, or goes offline, traffic flows to alternate channels you’ve approved. If a session is hurt by extreme lag or a fabricated answer, built‑in incident coverage records the event and issues credits according to the policy, cutting back-and-forth support and protecting budgets.

Teams that need proof can review public testing runs and the documented methodology, then match that with their own logs. Request‑level details and model‑level spend exports make it easy for engineering, finance, and compliance to audit decisions and verify that routes use the models they expect. more