GateCtr

GateCtr provides a middleware layer that intercepts calls to large language model APIs, compresses prompts, and selects lower‑cost model variants while preserving output quality. By routing each request to the cheapest suitable model and applying token‑reduction techniques, it can lower token consumption by up to 40 % without requiring any code changes from the client side.

The tool also includes a budget‑firewall feature that enforces spending limits. Users can configure hard caps that stop requests once a threshold is reached, and soft alerts that warn of approaching limits, helping to avoid unexpected invoices. A real‑time usage dashboard shows token counts and costs for each request, giving developers visibility into their AI spend.

GateCtr is positioned for developers who integrate LLM APIs into applications and need a straightforward way to control expenses and maintain predictable billing while retaining the same functional behavior of their prompts.