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Once a pi-ai route became a declaration rather than a catalog lookup, adding an OpenAI-compatible gateway meant knowing its model ids up front. Most such endpoints publish that list at `GET /models`, but no seam operation could ask: every one is keyed by a registered provider route, and the provider being added has no route, no stored profile, and no stored credential — the endpoint and key are values in a form. Interrogation is therefore keyed by settings namespace, which a configuration surface already holds from the configurable-provider directory. `registerModelDiscovery` offers it per namespace, `discoverModels` asks, and the request carries the draft itself. The reply is candidates, not a catalog: every field but the id is optional because most listings disclose nothing else, and adopting one is a settings write like any other. Nothing here reads or writes settings or credentials, so `settings.yaml` still decides what a route serves. `llm.discoverModels` carries the same draft over the wire. Its apiKey is the third and last payload a secret may ride, and it is never stored, logged, or echoed; every refusal folds into `model-discovery-failed`, naming the endpoint asked but never the credential offered. The pi-ai side is a plain GET for OpenAI-compatible protocols only — their listing shape is the one gateways, self-hosted servers, and the official endpoints agree on. Others say so, sending the user to hand-entry rather than reporting a guessed shape as an empty provider. The reply is read under a four-megabyte ceiling held on the bytes actually received, because the endpoint is a URL the user typed.