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* refactor: extract FetchTAT sharing the TAT-rejection classifier doResolveTAT minted the tenant access token inline. Extract the HTTP call into FetchTAT(ctx, httpClient, brand, appID, appSecret) so callers that already hold plaintext credentials — notably the post-config-init probe — can validate them without a second keychain round-trip. FetchTAT routes a non-zero TAT body code through the same classifyTATResponseCode the credential layer already uses, so a rejection is the canonical CategoryConfig / SubtypeInvalidClient (10003 / 10014) typed error — identical to what every token-resolving command returns. Transport, HTTP-status and JSON-parse failures stay raw (untyped) so callers can use errs.IsTyped to separate a deterministic credential rejection from upstream noise. doResolveTAT now delegates to FetchTAT; observable behavior unchanged. * feat: validate credentials after config init After config init saves the App ID / App Secret, fire a best-effort probe: mint a tenant access token with the just-saved credentials, then POST the application probe endpoint. When the credentials are deterministically rejected, FetchTAT returns a typed errs.* error and runProbe propagates it, so config init exits non-zero with the canonical ConfigError / invalid_client envelope (the same one every other command shows for the same bad creds) instead of letting the user discover the mistake on a later request. Ambiguous failures (transport, HTTP non-200, JSON parse, timeout, http-client init) come back untyped and are swallowed (errs.IsTyped is the discriminator), so a valid configuration is never blocked by upstream noise. The probe is wired into all four init paths and skipped when the user reused an existing secret. The saved config is not rolled back on rejection: stdout still records what was saved, stderr carries the typed error envelope.