Fallback Endpoint Doctrine

The Fallback Endpoint Doctrine treats any single model host as a dependency risk, not a platform. Because OpenAI-compatible gateways let an agency swap the base URL while keeping the SDK, the real asset is the integration contract, not the vendor. Standardize on one gateway for day-to-day delivery, then keep a second endpoint warm for the workloads a client retainer cannot afford to lose. TokenDelivery.ai illustrates the pattern: it serves open-weight models such as Gemma 4 26B A4B with byte-for-byte identical outputs on identical inputs, which makes reproducible client testing possible, but deterministic serving still depends on one operator staying up. Forrester's September 2026 argument that private deployments beat shared public models sharpens the stakes, since differentiation now comes from what sits behind the endpoint. The doctrine is simple: one primary, one fallback, one config file, tested quarterly.