feat(oauth): add Openference OAuth and API key provider integration

Wire Openference as a first-party OAuth gateway (PKCE, rotating refresh)
and an API-key catalog entry on api.openference.com, with live model
discovery, connection testing, free-tier badges, and regression tests.

config/quality/file-size-baseline.json

@@ -1,4 +1,5 @@
 {
+  "_rebaseline_2026_08_09_9296_adobe_media_capabilities": "PR #9296 (artickc, fix/adobe-firefly-model-capabilities) own growth: src/app/api/v1/models/catalog.ts 1590->1597 (+7). The image and video catalog serializers now expose the already-normalized Adobe Firefly discovery capability data (media_capabilities, plus the existing video modality/size fields) at their only response-emission chokepoints. The discovery parser and capability normalization remain in open-sse/services/adobeFireflyModels.ts; extracting these seven serialization fields would obscure the catalog contract. Covered by tests/unit/adobe-firefly.test.ts and tests/unit/image-upscale.test.ts.",
   "_rebaseline_2026_07_24_8470_hyperagent_sticky_thread": "PR #8470 (artickc, fix/hyperagent-tool-loop-thread-sticky) own growth: open-sse/executors/hyperagent.ts 936->1025 (wc -l; check-file-size.mjs counts via split(\"\\n\").length so the gate sees 937->1026, +89, crosses the 1000 cap). Fixes a real bug where a reverse-conversion proxy (text-Intent/JSON to Claude Code native tool_calls) rewrites assistant messages between agentic tool-loop turns, breaking HyperAgent’s conversation-prefix fingerprint and cold-starting the thread mid tool-loop. Adds Anthropic tool_use/tool_result flattening to extractMessageText() plus a new rootUserFingerprint()/root-key lookup tier in resolveHyperAgentThreadBinding()/storeHyperAgentThreadAfterTurn() so the thread stays sticky across the tool loop. Cohesive additions inside the existing single-file executor; not extractable without splitting the executor mid-request-flow. Covered by tests/unit/executor-hyperagent.test.ts (19/19, +5 new cases for tool_result/tool_use flattening + root-key stickiness). Pre-merge review flagged a cross-conversation root-key collision risk (tracked in the PR’s own mandatory pre-merge checklist, not yet addressed) — unrelated to this file-size ratchet, tracked separately by /fix-prs.",
   "_rebaseline_2026_07_25_8494_capability_filter_fail_closed": "PR #8494 (fix/capability-filters-fail-closed, #8488) own growth: open-sse/services/combo.ts 3640->3693 (+53) adds a fail-closed guard after filterTargetsByRequestCompatibility() — when every eligible target is excluded by request-capability filtering (vision/tools/etc) instead of quota/health, the combo now returns an explicit `capability_mismatch` 400 (describeCapabilityFilterExhaustion, imported from combo/comboStructure.ts) rather than silently falling through to a generic no-targets error, plus a `compatFilterFailOpen` escape hatch (combo config OR settings) mirrored at both the main/auto and round-robin call sites for symmetry. combo/comboStructure.ts (previously under cap, un-frozen) grows 794->918 (+124) — new home for describeCapabilityFilterExhaustion + providerSupportsEmulatedToolCalling (#5240 emulated tool-calling exemption so fail-closed does not regress prompt-emulation-only combos like all-chatgpt-web). Irreducible orchestration wiring at the existing filter chokepoint (same precedent as #7301's universal-cooldown-retry generalization). Companion test tests/unit/combo-routing-engine.test.ts 3409->3449 (+40, fail-closed/fail-open coverage across both call sites) also rebaselined. Covered by tests/unit/8488-capability-filter-fail-closed.test.ts (new) + 95/95 passing across both files. Structural shrink of combo.ts tracked in #3501.",
   "_rebaseline_2026_07_25_8499_ts7_result_union_predicates": "PR #8499 (backryun, chore/ts7-types-executor-scattered) own growth: muse-spark-web.ts 1396->1405 (+9, irreducible). Under this workspace's `strictNullChecks: false`, the boolean-literal discriminant on `GraphqlResult` (`{ ok: true } | { ok: false; error: string }`) narrows the positive `.ok===true` branch but leaves `!result.ok` at the full union under TS7, making `.error` unreachable to the checker at the two call sites (warmup, mode-switch). Fixed by adding a single `isGraphqlFailure()` type-predicate helper (doc comment + 3-line body) reused at both call sites instead of duplicating the predicate inline — not extractable to a shared module without splitting a single-file executor's local narrowing helper out of its own file. Covered by the existing muse-spark-web executor test suite (no behavior change, pure narrowing fix).",
@@ -387,7 +388,7 @@
     "src/app/(dashboard)/dashboard/usage/components/EvalsTab.tsx": 2148,
     "src/app/(dashboard)/dashboard/usage/components/ProviderLimits/index.tsx": 1119,
     "src/app/api/providers/[id]/models/route.ts": 2361,
-    "src/app/api/v1/models/catalog.ts": 1590,
+    "src/app/api/v1/models/catalog.ts": 1597,
     "src/lib/db/apiKeys.ts": 1529,
     "src/lib/db/core.ts": 1639,
     "src/lib/db/migrationRunner.ts": 1094,
@@ -536,7 +537,7 @@
   "src/app/(dashboard)/dashboard/usage/components/EvalsTab.tsx": "2148",
   "src/app/(dashboard)/dashboard/usage/components/ProviderLimits/index.tsx": "1119",
   "src/app/api/providers/[id]/models/route.ts": "2361",
-  "src/app/api/v1/models/catalog.ts": "1590",
+  "src/app/api/v1/models/catalog.ts": "1597",
   "src/lib/tokenHealthCheck.ts": "1053",
   "src/lib/db/apiKeys.ts": "1529",
   "src/lib/db/core.ts": "1639",

open-sse/config/constants.ts

@@ -65,27 +65,27 @@ export const PROVIDERS: Record<string, LegacyProvider> = new Proxy(
   {} as Record<string, LegacyProvider>,
   {
     get(_, prop) {
-      if (typeof prop === 'symbol') return undefined;
+      if (typeof prop === "symbol") return undefined;
       return Reflect.get(initProviders(), prop, _providers);
     },
     has(_, prop) {
-      if (typeof prop === 'symbol') return false;
+      if (typeof prop === "symbol") return false;
       return Reflect.has(initProviders(), prop);
     },
     ownKeys() {
       return Reflect.ownKeys(initProviders());
     },
     getOwnPropertyDescriptor(_, prop) {
-      if (typeof prop === 'symbol') return undefined;
+      if (typeof prop === "symbol") return undefined;
       return Object.getOwnPropertyDescriptor(initProviders(), prop);
     },
     set(_, prop, value) {
-      if (typeof prop === 'symbol') return false;
+      if (typeof prop === "symbol") return false;
       (initProviders() as Record<string, LegacyProvider>)[prop] = value;
       return true;
     },
     deleteProperty(_, prop) {
-      if (typeof prop === 'symbol') return false;
+      if (typeof prop === "symbol") return false;
       return Reflect.deleteProperty(initProviders(), prop);
     },
   }
@@ -124,6 +124,11 @@ export const OAUTH_ENDPOINTS = {
     auth: "https://github.com/login/oauth/authorize",
     deviceCode: "https://github.com/login/device/code",
   },
+  openference: {
+    token: "https://openference.com/oauth/token",
+    auth: "https://openference.com/app/oauth/authorize",
+    clientId: "omniroute",
+  },
 };
 
 // Cache TTLs (seconds)

open-sse/config/imageRegistry.ts

@@ -12,6 +12,10 @@ import { FREEPIK_IMAGE_PROVIDER } from "./providers/registry/freepik/index.ts";
 import { STABILITY_AI_IMAGE_MODELS } from "./providers/registry/stability-ai/imageModels.ts";
 import { GEMINI_IMAGEN_PROVIDER } from "./providers/registry/gemini/imageModels.ts";
 import { CHEAPERINFERENCE_IMAGE_PROVIDER } from "./providers/registry/cheaperinference/imageModels.ts";
+import {
+  ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES,
+  toRegistryImageModels,
+} from "../services/adobeFireflyModels.ts";
 
 interface ImageModelEntry {
   id: string;
@@ -22,6 +26,8 @@ interface ImageModelEntry {
   imageRequired?: boolean;
   description?: string;
   isMarket?: boolean;
+  supportedSizes?: string[];
+  mediaCapabilities?: Record<string, unknown>;
 }
 
 interface ImageProviderConfig {
@@ -35,6 +41,7 @@ interface ImageProviderConfig {
   authHeader: string;
   format: string;
   models: ImageModelEntry[];
+  routingAliases?: readonly string[];
   supportedSizes: string[];
 }
 
@@ -46,6 +53,7 @@ interface ImageModelAliasEntry {
   inputModalities?: string[];
   imageRequired?: boolean;
   description?: string;
+  mediaCapabilities?: Record<string, unknown>;
 }
 
 interface ImageCatalogModelEntry {
@@ -55,6 +63,7 @@ interface ImageCatalogModelEntry {
   supportedSizes: string[];
   inputModalities: string[];
   description?: string;
+  mediaCapabilities?: Record<string, unknown>;
 }
 
 const IMAGE_MODEL_ALIASES: Record<string, ImageModelAliasEntry> = {
@@ -678,55 +687,9 @@ export const IMAGE_PROVIDERS: Record<string, ImageProviderConfig> = {
     authType: "apikey",
     authHeader: "bearer",
     format: "adobe-firefly-image",
-    models: [
-      {
-        id: "nano-banana-pro",
-        name: "Firefly Gemini 3.0 (Nano Banana Pro)",
-        inputModalities: ["text", "image"],
-      },
-      {
-        id: "nano-banana",
-        name: "Firefly Gemini 2.5 (Nano Banana)",
-        inputModalities: ["text", "image"],
-      },
-      {
-        id: "nano-banana-2",
-        name: "Firefly Gemini 3.1 (Nano Banana 2)",
-        inputModalities: ["text", "image"],
-      },
-      { id: "gpt-image-2", name: "Firefly GPT Image 2", inputModalities: ["text", "image"] },
-      { id: "gpt-image", name: "Firefly GPT Image 2", inputModalities: ["text", "image"] },
-      { id: "gpt-image-1.5", name: "Firefly GPT Image 1.5", inputModalities: ["text", "image"] },
-      { id: "flux-2", name: "Firefly Flux 2", inputModalities: ["text", "image"] },
-      { id: "flux-pro", name: "Firefly Flux 1.1 Pro", inputModalities: ["text", "image"] },
-      { id: "flux-ultra", name: "Firefly Flux 1.1 Ultra", inputModalities: ["text", "image"] },
-      { id: "seedream-4", name: "Firefly Seedream 4.0", inputModalities: ["text", "image"] },
-      {
-        id: "seedream-5-lite",
-        name: "Firefly Seedream 5.0 Lite",
-        inputModalities: ["text", "image"],
-      },
-      {
-        id: "runway-gen4-image",
-        name: "Firefly Runway Gen-4 Image",
-        inputModalities: ["text", "image"],
-      },
-      // Topaz Labs upscalers (inputMediaUseCase: ["upscaling"]).
-      // Served by firefly-3p /v2/3p-images/upsample — see config/upscaleRegistry.ts.
-      {
-        id: "topaz-standard",
-        name: "Firefly Topaz Upscale (Standard)",
-        inputModalities: ["image"],
-        imageRequired: true,
-      },
-      {
-        id: "topaz-bloom",
-        name: "Firefly Topaz Bloom (Creative Upscale)",
-        inputModalities: ["image"],
-        imageRequired: true,
-      },
-    ],
-    supportedSizes: ["1:1", "16:9", "9:16", "4:3", "3:4", "1024x1024", "1792x1024", "1024x1792"],
+    models: toRegistryImageModels(),
+    routingAliases: ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES,
+    supportedSizes: [],
   },
 
   // Cheaper Inference (OSS-sponsor gateway). Declared AFTER adobe-firefly on
@@ -887,7 +850,7 @@ export function parseImageModel(modelStr) {
 
   // No provider prefix — try to find the model in every provider
   for (const [providerId, config] of Object.entries(IMAGE_PROVIDERS)) {
-    if (config.models.some((m) => m.id === modelStr)) {
+    if (config.routingAliases?.includes(modelStr) || config.models.some((m) => m.id === modelStr)) {
       return { provider: providerId, model: modelStr };
     }
   }
@@ -906,9 +869,10 @@ function imageProviderCatalogEntries(
     id: `${providerId}/${model.id}`,
     name: model.name,
     provider: providerId,
-    supportedSizes: config.supportedSizes,
+    supportedSizes: model.supportedSizes || config.supportedSizes,
     inputModalities: model.inputModalities || ["text"],
     description: model.description || undefined,
+    mediaCapabilities: model.mediaCapabilities,
   }));
 }
 

open-sse/config/providers/index.ts

@@ -121,6 +121,8 @@ import { chatgpt_webProvider } from "./registry/chatgpt-web/index.ts";
 import { openrouterProvider } from "./registry/openrouter/index.ts";
 import { cheaperinferenceProvider } from "./registry/cheaperinference/index.ts";
 import { openvectaProvider } from "./registry/openvecta/index.ts";
+import { openferenceProvider } from "./registry/openference/index.ts";
+import { openference_apiProvider } from "./registry/openference-api/index.ts";
 import { orcarouterProvider } from "./registry/orcarouter/index.ts";
 import { copilot_webProvider } from "./registry/copilot-web/index.ts";
 import { copilot_m365_webProvider } from "./registry/copilot-m365-web/index.ts";
@@ -345,6 +347,8 @@ export const REGISTRY: Record<string, RegistryEntry> = {
   openrouter: openrouterProvider,
   cheaperinference: cheaperinferenceProvider,
   openvecta: openvectaProvider,
+  openference: openferenceProvider,
+  "openference-api": openference_apiProvider,
   orcarouter: orcarouterProvider,
   "copilot-web": copilot_webProvider,
   "copilot-m365-web": copilot_m365_webProvider,

open-sse/config/providers/registry/openference-api/index.ts

@@ -0,0 +1,18 @@
+import type { RegistryEntry } from "../../shared.ts";
+import { buildOpenAiCompatibleRegistryEntry } from "../../shared.ts";
+
+/**
+ * Openference API key — OpenAI-compatible gateway (https://openference.com/).
+ *
+ * Bearer API keys (`sk-…`) hit the same api.openference.com/v1/* surface as OAuth
+ * JWTs. Live model discovery uses NAMED_OPENAI_STYLE_PROVIDERS; the seed below is
+ * the offline fallback when the live fetch fails.
+ */
+export const openference_apiProvider: RegistryEntry = buildOpenAiCompatibleRegistryEntry({
+  id: "openference-api",
+  alias: "ofa",
+  baseUrl: "https://api.openference.com/v1/chat/completions",
+  responsesBaseUrl: "https://api.openference.com/v1/responses",
+  passthroughModels: true,
+  models: [{ id: "GLM-5.2", name: "GLM 5.2", contextLength: 850000 }],
+});

open-sse/config/providers/registry/openference/index.ts

@@ -0,0 +1,25 @@
+import type { RegistryEntry } from "../../shared.ts";
+
+/**
+ * Openference — OpenAI-compatible AI inference gateway (https://openference.com/).
+ *
+ * OAuth access tokens are ES256 JWTs accepted as Bearer credentials on
+ * api.openference.com/v1/*. Live model discovery uses NAMED_OPENAI_STYLE_PROVIDERS;
+ * seed models below are the offline fallback when the live fetch fails.
+ */
+export const openferenceProvider: RegistryEntry = {
+  id: "openference",
+  alias: "of",
+  format: "openai",
+  executor: "default",
+  baseUrl: "https://api.openference.com/v1/chat/completions",
+  responsesBaseUrl: "https://api.openference.com/v1/responses",
+  authType: "oauth",
+  authHeader: "bearer",
+  passthroughModels: true,
+  oauth: {
+    clientIdDefault: "omniroute",
+    tokenUrl: "https://openference.com/oauth/token",
+  },
+  models: [{ id: "GLM-5.2", name: "GLM 5.2", contextLength: 850000 }],
+};

open-sse/config/videoRegistry.ts

@@ -5,14 +5,17 @@
  * Supports local providers plus hosted task-based APIs such as Runway.
  */
 
-import { parseModelFromRegistry, getAllModelsFromRegistry } from "./registryUtils.ts";
+import { parseModelFromRegistry } from "./registryUtils.ts";
 import { RUNWAYML_SUPPORTED_VIDEO_MODELS } from "./runway.ts";
 import { SEGMIND_VIDEO_MODELS } from "./providers/registry/segmind/videoModels.ts";
+import { toRegistryVideoModels } from "../services/adobeFireflyModels.ts";
 
 interface VideoModel {
   id: string;
   name: string;
   isMarket?: boolean;
+  supportedSizes?: string[];
+  mediaCapabilities?: Record<string, unknown>;
 }
 
 interface VideoProvider {
@@ -326,8 +329,7 @@ export const VIDEO_PROVIDERS: Record<string, VideoProvider> = {
   },
 
   // Adobe Firefly (unofficial) — same IMS/cookie credential as the image entry.
-  // Async 3P video generate + poll (Sora 2, Veo 3.1, Kling …). Fallback list
-  // from models/discovery capture (adobe/get_models.txt).
+  // Exact async video models and capabilities from the verified discovery snapshot.
   "adobe-firefly": {
     id: "adobe-firefly",
     alias: "firefly",
@@ -335,18 +337,7 @@ export const VIDEO_PROVIDERS: Record<string, VideoProvider> = {
     authType: "apikey",
     authHeader: "bearer",
     format: "adobe-firefly-video",
-    models: [
-      { id: "sora-2", name: "Firefly Sora 2" },
-      { id: "sora-2-pro", name: "Firefly Sora 2 Pro" },
-      { id: "veo-3.1", name: "Firefly Veo 3.1" },
-      { id: "veo-3.1-fast", name: "Firefly Veo 3.1 Fast" },
-      { id: "veo-3.1-ref", name: "Firefly Veo 3.1 Reference" },
-      { id: "kling-3", name: "Firefly Kling v3 Standard I2V" },
-      { id: "kling-v3-t2v", name: "Firefly Kling v3 Standard T2V" },
-      { id: "kling-v3-pro-i2v", name: "Firefly Kling v3 Pro I2V" },
-      { id: "luma-ray3", name: "Firefly Ray3" },
-      { id: "runway-gen4-turbo", name: "Firefly Runway Gen-4 Video" },
-    ],
+    models: toRegistryVideoModels(),
   },
 };
 
@@ -368,5 +359,17 @@ export function parseVideoModel(modelStr: string | null) {
  * Get all video models as a flat list
  */
 export function getAllVideoModels() {
-  return getAllModelsFromRegistry(VIDEO_PROVIDERS);
+  return Object.entries(VIDEO_PROVIDERS).flatMap(([providerId, config]) =>
+    [providerId, config.alias]
+      .filter((prefix): prefix is string => Boolean(prefix))
+      .flatMap((prefix) =>
+        config.models.map((model) => ({
+          id: `${prefix}/${model.id}`,
+          name: model.name,
+          provider: providerId,
+          supportedSizes: model.supportedSizes || [],
+          mediaCapabilities: model.mediaCapabilities,
+        }))
+      )
+  );
 }

open-sse/handlers/imageGeneration/providers/adobeFirefly.ts

@@ -16,11 +16,11 @@ import {
   AdobeFireflyError,
   adobeFireflyGenerateImage,
   adobeFireflyImageTimeoutMs,
-  adobeFireflyMaxImageRefs,
   resolveAdobeAccessToken,
-  resolveAdobeSourceImageIds,
+  resolveAdobeSourceImageReferences,
   resolveAdobeImageModel,
 } from "../../../services/adobeFireflyClient.ts";
+import { getAdobeReferenceUploadLimit } from "../../../services/adobeFireflyModels.ts";
 import { isAdobeFireflyUpscaleModel } from "../../../services/adobeFireflyUpscale.ts";
 import { handleAdobeFireflyImageUpscale } from "../../imageUpscale/adobeFirefly.ts";
 
@@ -90,7 +90,8 @@ export async function handleAdobeFireflyImageGeneration({
 
     // Keep the raw credential blob for Cookie + sherlockToken (x-arp-session-id).
     // JWT may be embedded in the same paste as cookies (HAR / multi-line).
-    const psd = (credentials as { providerSpecificData?: { cookie?: string } })?.providerSpecificData;
+    const psd = (credentials as { providerSpecificData?: { cookie?: string } })
+      ?.providerSpecificData;
     const sessionCookie =
       (typeof psd?.cookie === "string" && psd.cookie.trim()) ||
       (typeof credentials?.apiKey === "string" && credentials.apiKey.trim()) ||
@@ -98,15 +99,11 @@ export async function handleAdobeFireflyImageGeneration({
         ? credentials.accessToken
         : undefined);
 
-    // Cap uploads by model family. gpt-image: 2 subject refs max (3–4+ stalls colligo → 504).
-    // nano: 4 general refs for multi-panel composition.
-    const { id: resolvedId } = resolveAdobeImageModel(model);
-    const maxRefs = adobeFireflyMaxImageRefs(resolvedId);
-
-    const sourceImageIds = await resolveAdobeSourceImageIds({
+    const { spec } = resolveAdobeImageModel(model);
+    const references = await resolveAdobeSourceImageReferences({
       accessToken,
       body,
-      max: maxRefs,
+      max: getAdobeReferenceUploadLimit(spec, "image"),
       sessionCookie,
       prompt,
       fetchImpl,
@@ -121,13 +118,13 @@ export async function handleAdobeFireflyImageGeneration({
           : undefined;
     const timeoutMs = adobeFireflyImageTimeoutMs({
       timeoutMs: explicitTimeout,
-      refCount: sourceImageIds.length,
+      refCount: references.length,
     });
 
     log?.info?.(
       "IMAGE",
       `${provider}/${model} (adobe-firefly) | prompt: "${prompt.slice(0, 60)}${prompt.length > 60 ? "..." : ""}"` +
-        (sourceImageIds.length ? ` | refs: ${sourceImageIds.length}/${maxRefs}` : "") +
+        (references.length ? ` | refs: ${references.length}` : "") +
         ` | pollTimeoutMs=${timeoutMs}`
     );
 
@@ -139,9 +136,8 @@ export async function handleAdobeFireflyImageGeneration({
       aspectRatio: body.aspect_ratio ?? body.aspectRatio ?? body.size,
       quality: body.quality,
       seed: Number.isFinite(seed as number) ? (seed as number) : undefined,
-      negativePrompt:
-        typeof body.negative_prompt === "string" ? body.negative_prompt : undefined,
-      sourceImageIds: sourceImageIds.length ? sourceImageIds : undefined,
+      negativePrompt: typeof body.negative_prompt === "string" ? body.negative_prompt : undefined,
+      references: references.length ? references : undefined,
       sessionCookie,
       timeoutMs,
       fetchImpl,

open-sse/handlers/videoGeneration/adobeFireflyHandler.ts

@@ -10,9 +10,10 @@ import {
   AdobeFireflyError,
   adobeFireflyGenerateVideo,
   resolveAdobeAccessToken,
-  resolveAdobeSourceImageIds,
+  resolveAdobeSourceImageReferences,
   resolveAdobeVideoModel,
 } from "../../services/adobeFireflyClient.ts";
+import { getAdobeReferenceUploadLimit } from "../../services/adobeFireflyModels.ts";
 
 function normalizePositiveNumber(value: unknown, fallback: number): number {
   const n = Number(value);
@@ -55,7 +56,8 @@ export async function handleAdobeFireflyVideoGeneration({
           ? Number(body.seed)
           : undefined;
     // Keep raw paste for Cookie + sherlockToken (x-arp-session-id).
-    const psd = (credentials as { providerSpecificData?: { cookie?: string } })?.providerSpecificData;
+    const psd = (credentials as { providerSpecificData?: { cookie?: string } })
+      ?.providerSpecificData;
     const sessionCookie =
       (typeof psd?.cookie === "string" && psd.cookie.trim()) ||
       (typeof credentials?.apiKey === "string" && credentials.apiKey.trim()) ||
@@ -63,13 +65,11 @@ export async function handleAdobeFireflyVideoGeneration({
         ? credentials.accessToken
         : undefined);
 
-    // Kling i2v / Veo ref / Sora frame: upload reference images first.
-    const { id: videoModelId } = resolveAdobeVideoModel(String(model));
-    const maxFrames = videoModelId.includes("kling") || videoModelId.includes("sora") ? 2 : 3;
-    const sourceImageIds = await resolveAdobeSourceImageIds({
+    const { spec } = resolveAdobeVideoModel(String(model));
+    const references = await resolveAdobeSourceImageReferences({
       accessToken,
       body,
-      max: maxFrames,
+      max: getAdobeReferenceUploadLimit(spec, "image"),
       sessionCookie,
       prompt,
       fetchImpl,
@@ -79,7 +79,7 @@ export async function handleAdobeFireflyVideoGeneration({
     log?.info?.(
       "VIDEO",
       `${provider}/${model} (adobe-firefly) | prompt: "${prompt.slice(0, 60)}${prompt.length > 60 ? "..." : ""}"` +
-        (sourceImageIds.length ? ` | frames: ${sourceImageIds.length}` : "")
+        (references.length ? ` | refs: ${references.length}` : "")
     );
 
     const result = await adobeFireflyGenerateVideo({
@@ -99,7 +99,7 @@ export async function handleAdobeFireflyVideoGeneration({
             ? body.negativePrompt
             : undefined,
       generateAudio: body.generate_audio !== false && body.generateAudio !== false,
-      sourceImageIds: sourceImageIds.length ? sourceImageIds : undefined,
+      references: references.length ? references : undefined,
       sessionCookie,
       timeoutMs,
       fetchImpl,

open-sse/services/adobeFireflyModels.ts

@@ -1,328 +1,590 @@
 /**
- * Adobe Firefly model catalog: live discovery + static fallback from browser capture.
+ * Adobe Firefly model discovery and normalized media capabilities.
  *
- * Live: POST firefly-3p.ff.adobe.io/v2/models/discovery (needs valid IMS token).
- * Fallback: curated rows from adobe/get_models.txt (2026-07 Firefly SPA capture) so
- * Media/Models still list usable ids when discovery fails or credentials are missing.
+ * The live discovery schema is authoritative. The generated snapshot is used only
+ * when a request cannot perform authenticated discovery (for example /v1/models).
  */
 
-import {
-  type AdobeFireflyDiscoveredModel,
-  discoverAdobeFireflyModels,
-  resolveAdobeAccessToken,
-} from "./adobeFireflyClient.ts";
+import { ADOBE_FIREFLY_DISCOVERY_SNAPSHOT } from "./adobeFireflyModelSnapshot.ts";
+
+export type AdobeFireflyModality = "image" | "video" | "audio" | "unknown";
+
+export interface AdobeFireflyDiscoveredModel {
+  modelId: string;
+  modelVersion: string;
+  displayName: string;
+  modality: AdobeFireflyModality;
+  enabled: boolean;
+  providerName?: string;
+  releaseReadiness?: string;
+  healthStatus?: string;
+  inputMediaUseCases: string[];
+  requestSchema?: Record<string, unknown>;
+  backingModel?: string;
+}
+
+export interface AdobeFireflyReferenceInputCapability {
+  mediaType: string;
+  usageType: string;
+  minItems: number;
+  maxItems: number | null;
+  maxFileSizeBytes: number | null;
+}
+
+export interface AdobeFireflyMediaCapabilities {
+  inputMediaUseCases: string[];
+  schemaProperties: string[];
+  requiredProperties: string[];
+  referenceInputs: AdobeFireflyReferenceInputCapability[];
+  maxReferenceItems: number | null;
+  supportedSizes: string[];
+  supportedAspectRatios: string[];
+  supportedResolutions: string[];
+  supportedDurations: number[];
+  durationMin: number | null;
+  durationMax: number | null;
+  durationDefault: number | null;
+  outputCountMin: number | null;
+  outputCountMax: number | null;
+  promptMaxLength: number | null;
+  releaseReadiness: string;
+  healthStatus: string;
+}
 
 export interface AdobeFireflyCatalogModel {
-  /** OpenAI-style id without provider prefix, e.g. nano-banana-pro or flux-fluxPro */
+  /** Stable API id without the provider prefix. */
   id: string;
   name: string;
   modality: "image" | "video";
-  /** Upstream wire modelId for generate-async */
   upstreamModelId: string;
-  /** Upstream wire modelVersion for generate-async */
   upstreamModelVersion: string;
-  inputModalities?: string[];
+  providerName: string;
+  backingModel: string;
+  inputModalities: string[];
+  capabilities: AdobeFireflyMediaCapabilities;
 }
 
-/**
- * Static fallback built from adobe/get_models.txt discovery response.
- * Friendly aliases first (Media page defaults), then popular upstream families.
- */
-export const ADOBE_FIREFLY_FALLBACK_MODELS: AdobeFireflyCatalogModel[] = [
-  // ── Friendly aliases (handler resolveAdobeImageModel / resolveAdobeVideoModel) ──
-  {
-    id: "nano-banana-pro",
-    name: "Gemini 3.0 (Nano Banana Pro)",
-    modality: "image",
-    upstreamModelId: "gemini-flash",
-    upstreamModelVersion: "nano-banana-2",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "nano-banana",
-    name: "Gemini 2.5 (Nano Banana)",
-    modality: "image",
-    upstreamModelId: "gemini-flash",
-    upstreamModelVersion: "nano-banana",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "nano-banana-2",
-    name: "Gemini 3.1 (Nano Banana 2)",
-    modality: "image",
-    upstreamModelId: "gemini-flash",
-    upstreamModelVersion: "nano-banana-3",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "gpt-image-2",
-    name: "GPT Image 2",
-    modality: "image",
-    upstreamModelId: "gpt-image",
-    upstreamModelVersion: "2",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "gpt-image",
-    name: "GPT Image 2",
-    modality: "image",
-    upstreamModelId: "gpt-image",
-    upstreamModelVersion: "2",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "gpt-image-1.5",
-    name: "GPT Image 1.5",
-    modality: "image",
-    upstreamModelId: "gpt-image",
-    upstreamModelVersion: "1.5",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "sora-2",
-    name: "Sora 2",
-    modality: "video",
-    upstreamModelId: "sora",
-    upstreamModelVersion: "sora-2",
-  },
-  {
-    id: "sora-2-pro",
-    name: "Sora 2 Pro",
-    modality: "video",
-    upstreamModelId: "sora",
-    upstreamModelVersion: "sora-2-pro",
-  },
-  {
-    id: "veo-3.1",
-    name: "Veo 3.1",
-    modality: "video",
-    upstreamModelId: "veo",
-    upstreamModelVersion: "3.1-generate",
-  },
-  {
-    id: "veo-3.1-fast",
-    name: "Veo 3.1 Fast",
-    modality: "video",
-    upstreamModelId: "veo",
-    upstreamModelVersion: "3.1-fast-generate",
-  },
-  {
-    id: "veo-3.1-ref",
-    name: "Veo 3.1 Reference",
-    modality: "video",
-    upstreamModelId: "veo",
-    upstreamModelVersion: "3.1-generate",
-  },
-  {
-    id: "kling-3",
-    name: "Kling Video v3 Standard Image to Video",
-    modality: "video",
-    upstreamModelId: "kling",
-    upstreamModelVersion: "kling_v3_standard_i2v",
-  },
-  // ── Additional image families from discovery capture ──
-  {
-    id: "flux-2",
-    name: "Flux 2",
-    modality: "image",
-    upstreamModelId: "flux",
-    upstreamModelVersion: "2",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "flux-pro",
-    name: "Flux 1.1 Pro",
-    modality: "image",
-    upstreamModelId: "flux",
-    upstreamModelVersion: "fluxPro",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "flux-ultra",
-    name: "Flux 1.1 Ultra",
-    modality: "image",
-    upstreamModelId: "flux",
-    upstreamModelVersion: "fluxUltra",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "seedream-4",
-    name: "Seedream 4.0",
-    modality: "image",
-    upstreamModelId: "seedream",
-    upstreamModelVersion: "seedream_v4",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "seedream-5-lite",
-    name: "Seedream 5.0 Lite",
-    modality: "image",
-    upstreamModelId: "seedream",
-    upstreamModelVersion: "seedream_v5_lite",
-    inputModalities: ["text", "image"],
-  },
-  {
-    id: "runway-gen4-image",
-    name: "Runway Gen-4 Image",
-    modality: "image",
-    upstreamModelId: "runway-gen4-image",
-    upstreamModelVersion: "gen4_image",
-    inputModalities: ["text", "image"],
-  },
-  // ── Additional video families ──
-  {
-    id: "kling-v3-t2v",
-    name: "Kling Video v3 Standard Text to Video",
-    modality: "video",
-    upstreamModelId: "kling",
-    upstreamModelVersion: "kling_v3_standard_t2v",
-  },
-  {
-    id: "kling-v3-pro-i2v",
-    name: "Kling Video v3 Pro Image to Video",
-    modality: "video",
-    upstreamModelId: "kling",
-    upstreamModelVersion: "kling_v3_pro_i2v",
-  },
-  {
-    id: "luma-ray3",
-    name: "Ray3",
-    modality: "video",
-    upstreamModelId: "luma",
-    upstreamModelVersion: "3.0-ray",
-  },
-  {
-    id: "runway-gen4-turbo",
-    name: "Runway Gen-4 Video",
-    modality: "video",
-    upstreamModelId: "runway",
-    upstreamModelVersion: "gen4_turbo",
-  },
-];
+export interface AdobeFireflyImageModelSpec extends AdobeFireflyCatalogModel {
+  modality: "image";
+  /** Payload dialect observed for this model family. */
+  family: "gemini" | "gpt-image" | "generic";
+}
 
-/** Stable slug for upstream modelId + modelVersion (catalog id when not a friendly alias). */
+export interface AdobeFireflyVideoModelSpec extends AdobeFireflyCatalogModel {
+  modality: "video";
+  defaultDuration: number;
+  defaultResolution: string;
+}
+
+interface MergedObjectSchema {
+  properties: Record<string, Record<string, unknown>>;
+  required: string[];
+}
+
+function asRecord(value: unknown): Record<string, unknown> {
+  return value && typeof value === "object" && !Array.isArray(value)
+    ? (value as Record<string, unknown>)
+    : {};
+}
+
+function asStringArray(value: unknown): string[] {
+  return Array.isArray(value)
+    ? value.map((item) => String(item)).filter((item) => item.length > 0)
+    : [];
+}
+
+function finiteInteger(value: unknown): number | null {
+  return Number.isInteger(value) ? (value as number) : null;
+}
+
+/** Merge object properties/required keys contributed through JSON Schema allOf. */
+export function mergeAdobeObjectSchema(schema: unknown): MergedObjectSchema {
+  const merged: MergedObjectSchema = { properties: {}, required: [] };
+  const visit = (value: unknown) => {
+    const node = asRecord(value);
+    const properties = asRecord(node.properties);
+    for (const [key, property] of Object.entries(properties)) {
+      merged.properties[key] = asRecord(property);
+    }
+    merged.required.push(...asStringArray(node.required));
+    if (Array.isArray(node.allOf)) node.allOf.forEach(visit);
+  };
+  visit(schema);
+  merged.required = [...new Set(merged.required)];
+  return merged;
+}
+
+function schemaBranches(schema: unknown): Record<string, unknown>[] {
+  const root = asRecord(schema);
+  if (Object.keys(root).length === 0) return [];
+  return [
+    root,
+    ...(Array.isArray(root.anyOf) ? root.anyOf.map(asRecord) : []),
+    ...(Array.isArray(root.oneOf) ? root.oneOf.map(asRecord) : []),
+  ];
+}
+
+function enumStrings(schema: unknown): string[] {
+  return [
+    ...new Set(
+      schemaBranches(schema)
+        .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+        .filter((value): value is string => typeof value === "string")
+    ),
+  ];
+}
+
+function integerBranch(schema: unknown): Record<string, unknown> {
+  return schemaBranches(schema).find((branch) => branch.type === "integer") || {};
+}
+
+/** Stable, collision-resistant public id for an exact upstream model/version pair. */
 export function slugifyAdobeModel(modelId: string, modelVersion: string): string {
-  const mid = String(modelId || "")
-    .trim()
-    .toLowerCase()
-    .replace(/[^a-z0-9]+/g, "-")
-    .replace(/^-|-$/g, "");
-  const ver = String(modelVersion || "")
-    .trim()
-    .toLowerCase()
-    .replace(/[^a-z0-9.]+/g, "-")
-    .replace(/^-|-$/g, "");
-  if (!ver || ver === "default" || ver === mid) return mid || "model";
-  return `${mid}-${ver}`;
+  const slug = (value: string, allowDot = false) =>
+    String(value || "")
+      .trim()
+      .toLowerCase()
+      .replace(allowDot ? /[^a-z0-9.]+/g : /[^a-z0-9]+/g, "-")
+      .replace(/^-|-$/g, "");
+  const family = slug(modelId);
+  // Adobe still uses `kling_v3_omni*` internally, while discovery exposes these
+  // products to users as Kling O3. Never leak the obsolete/internal "omni" name
+  // into the public API catalog; the untouched upstream version stays in the spec.
+  const publicVersion =
+    family === "kling" ? modelVersion.replace(/^kling_v3_omni/i, "kling_o3") : modelVersion;
+  const version = slug(publicVersion, true);
+  if (!version || version === "default" || version === family) return family || "model";
+  return `${family}-${version}`;
 }
 
-/** Map discovery rows → catalog entries (image/video only). */
-export function mapDiscoveredToCatalog(
-  rows: AdobeFireflyDiscoveredModel[]
-): AdobeFireflyCatalogModel[] {
-  const out: AdobeFireflyCatalogModel[] = [];
-  const seen = new Set<string>();
+/** Parse POST /v2/models/discovery without discarding its resolved request schema. */
+export function parseAdobeModelsDiscovery(body: unknown): AdobeFireflyDiscoveredModel[] {
+  const root = asRecord(body);
+  const families = Array.isArray(root.models) ? root.models : [];
+  const rows: AdobeFireflyDiscoveredModel[] = [];
 
-  // Prefer friendly aliases when upstream matches known fallback rows.
-  for (const fb of ADOBE_FIREFLY_FALLBACK_MODELS) {
-    const hit = rows.find(
-      (r) =>
-        r.modelId === fb.upstreamModelId &&
-        r.modelVersion === fb.upstreamModelVersion &&
-        (r.modality === fb.modality || r.modality === "unknown")
-    );
-    if (hit && !seen.has(fb.id)) {
-      seen.add(fb.id);
-      out.push({
-        ...fb,
-        name: hit.displayName || fb.name,
+  for (const familyValue of families) {
+    const family = asRecord(familyValue);
+    const modelId = String(family.modelId || "").trim();
+    if (!modelId) continue;
+    for (const [modelVersion, versionValue] of Object.entries(asRecord(family.modelVersions))) {
+      const version = asRecord(versionValue);
+      if (version.enabled === false) continue;
+      const outputModalities = asStringArray(version.outputModality).map((item) =>
+        item.toLowerCase()
+      );
+      const modality: AdobeFireflyModality = outputModalities.includes("image")
+        ? "image"
+        : outputModalities.includes("video")
+          ? "video"
+          : outputModalities.includes("audio")
+            ? "audio"
+            : "unknown";
+      rows.push({
+        modelId,
+        modelVersion,
+        displayName: String(
+          version.modelDisplayName || version.modelCaiDisplayName || modelVersion
+        ),
+        modality,
+        enabled: version.enabled !== false,
+        providerName:
+          typeof family.acModelFamilyProviderDisplayName === "string"
+            ? family.acModelFamilyProviderDisplayName
+            : undefined,
+        releaseReadiness:
+          typeof version.releaseReadiness === "string" ? version.releaseReadiness : undefined,
+        healthStatus: typeof version.healthStatus === "string" ? version.healthStatus : undefined,
+        inputMediaUseCases: asStringArray(version.inputMediaUseCase),
+        requestSchema: asRecord(version.requestSchema),
+        backingModel:
+          typeof version.bksGenerationModel === "string" ? version.bksGenerationModel : undefined,
+      });
+    }
+  }
+  return rows;
+}
+
+function normalizeCapabilities(row: AdobeFireflyDiscoveredModel): AdobeFireflyMediaCapabilities {
+  const schema = mergeAdobeObjectSchema(row.requestSchema);
+  const referenceSchema = asRecord(schema.properties.referenceBlobs);
+  const referenceInputs: AdobeFireflyReferenceInputCapability[] = [];
+  const mediaCapabilities = Array.isArray(referenceSchema["x-capabilities"])
+    ? referenceSchema["x-capabilities"]
+    : [];
+  for (const mediaValue of mediaCapabilities) {
+    const media = asRecord(mediaValue);
+    const maxFileSizeBytes = finiteInteger(media.maxFileSizeBytes);
+    const usageConstraints = Array.isArray(media.usageConstraints) ? media.usageConstraints : [];
+    for (const usageValue of usageConstraints) {
+      const usage = asRecord(usageValue);
+      if (usage.deprecated === true) continue;
+      const usageType = String(usage.usageType || "");
+      const mediaType = String(media.mediaType || "");
+      if (!usageType || !mediaType) continue;
+      referenceInputs.push({
+        mediaType,
+        usageType,
+        minItems: finiteInteger(usage.minItems) ?? 0,
+        maxItems: finiteInteger(usage.maxItems),
+        maxFileSizeBytes,
       });
     }
   }
 
-  for (const r of rows) {
-    if (r.modality !== "image" && r.modality !== "video") continue;
-    const id = slugifyAdobeModel(r.modelId, r.modelVersion);
-    if (seen.has(id)) continue;
-    // Skip if already covered by a friendly alias with same upstream
-    if (
-      out.some(
-        (o) =>
-          o.upstreamModelId === r.modelId && o.upstreamModelVersion === r.modelVersion
+  const supportedSizes = [
+    ...new Set(
+      schemaBranches(schema.properties.size)
+        .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+        .map(asRecord)
+        .filter((size) => finiteInteger(size.width) !== null && finiteInteger(size.height) !== null)
+        .map((size) => `${size.width}x${size.height}`)
+    ),
+  ];
+  const supportedAspectRatios = [
+    ...new Set(
+      schemaBranches(schema.properties.generationSettings).flatMap((branch) =>
+        enumStrings(asRecord(asRecord(branch.properties).aspectRatio))
       )
-    ) {
-      continue;
-    }
-    seen.add(id);
-    out.push({
-      id,
-      name: r.displayName || id,
-      modality: r.modality,
-      upstreamModelId: r.modelId,
-      upstreamModelVersion: r.modelVersion,
-      inputModalities: r.modality === "image" ? ["text", "image"] : ["text"],
-    });
-  }
-
-  return out;
-}
-
-export function getAdobeFireflyFallbackCatalog(modality?: "image" | "video"): AdobeFireflyCatalogModel[] {
-  if (!modality) return [...ADOBE_FIREFLY_FALLBACK_MODELS];
-  return ADOBE_FIREFLY_FALLBACK_MODELS.filter((m) => m.modality === modality);
-}
-
-/**
- * Live discovery when credentials resolve; otherwise static fallback from get_models capture.
- */
-export async function resolveAdobeFireflyCatalog(opts: {
-  credentials?: {
-    apiKey?: string;
-    accessToken?: string;
-    providerSpecificData?: Record<string, unknown> | null;
-  } | null;
-  modality?: "image" | "video";
-  fetchImpl?: typeof fetch;
-}): Promise<{ models: AdobeFireflyCatalogModel[]; source: "api" | "fallback" }> {
-  const fetchImpl = opts.fetchImpl || fetch;
-  try {
-    if (opts.credentials) {
-      const token = await resolveAdobeAccessToken(opts.credentials, fetchImpl);
-      const discovered = await discoverAdobeFireflyModels(token, fetchImpl);
-      let catalog = mapDiscoveredToCatalog(discovered);
-      if (opts.modality) catalog = catalog.filter((m) => m.modality === opts.modality);
-      if (catalog.length > 0) return { models: catalog, source: "api" };
-    }
-  } catch {
-    // fall through to static catalog
-  }
+    ),
+  ];
+  const duration = integerBranch(schema.properties.duration);
+  const outputCount = integerBranch(schema.properties.n);
+  const prompt =
+    schemaBranches(schema.properties.prompt).find((branch) => branch.type === "string") || {};
 
   return {
-    models: getAdobeFireflyFallbackCatalog(opts.modality),
-    source: "fallback",
+    inputMediaUseCases: [...row.inputMediaUseCases],
+    schemaProperties: Object.keys(schema.properties),
+    requiredProperties: [...schema.required],
+    referenceInputs,
+    maxReferenceItems: finiteInteger(referenceSchema.maxItems),
+    supportedSizes,
+    supportedAspectRatios,
+    supportedResolutions: enumStrings(schema.properties.resolution),
+    supportedDurations: [
+      ...new Set(
+        schemaBranches(schema.properties.duration)
+          .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+          .filter((value): value is number => Number.isInteger(value))
+      ),
+    ],
+    durationMin: finiteInteger(duration.minimum),
+    durationMax: finiteInteger(duration.maximum),
+    durationDefault: finiteInteger(duration.default),
+    outputCountMin: finiteInteger(outputCount.minimum),
+    outputCountMax: finiteInteger(outputCount.maximum),
+    promptMaxLength: finiteInteger(prompt.maxLength),
+    releaseReadiness: row.releaseReadiness || "",
+    healthStatus: row.healthStatus || "",
   };
 }
 
-/** Registry-shaped models for imageRegistry / videoRegistry. */
-export function toRegistryImageModels(
-  models: AdobeFireflyCatalogModel[] = getAdobeFireflyFallbackCatalog("image")
-): Array<{ id: string; name: string; inputModalities?: string[] }> {
-  return models
-    .filter((m) => m.modality === "image")
-    .map((m) => ({
-      id: m.id,
-      name: m.name.startsWith("Firefly ") ? m.name : `Firefly ${m.name}`,
-      inputModalities: m.inputModalities || ["text", "image"],
-    }));
+function isCallableGenerationModel(row: AdobeFireflyDiscoveredModel): boolean {
+  if (row.modality !== "image" && row.modality !== "video") return false;
+  if (!mergeAdobeObjectSchema(row.requestSchema).properties.prompt) return false;
+  const excluded = new Set(["upscaling", "sharpening", "denoising"]);
+  return !row.inputMediaUseCases.some((value) => excluded.has(value.toLowerCase()));
 }
 
-export function toRegistryVideoModels(
-  models: AdobeFireflyCatalogModel[] = getAdobeFireflyFallbackCatalog("video")
-): Array<{ id: string; name: string }> {
-  return models
-    .filter((m) => m.modality === "video")
-    .map((m) => ({
-      id: m.id,
-      name: m.name.startsWith("Firefly ") ? m.name : `Firefly ${m.name}`,
-    }));
+function deriveInputModalities(capabilities: AdobeFireflyMediaCapabilities): string[] {
+  return ["text", ...new Set(capabilities.referenceInputs.map((reference) => reference.mediaType))];
+}
+
+function semanticCatalogKey(model: AdobeFireflyCatalogModel): string {
+  return JSON.stringify({
+    backingModel: model.backingModel,
+    name: model.name,
+    modality: model.modality,
+    capabilities: model.capabilities,
+  });
+}
+
+/** Normalize and de-duplicate callable image/video rows from live discovery. */
+export function mapDiscoveredToCatalog(
+  rows: AdobeFireflyDiscoveredModel[]
+): AdobeFireflyCatalogModel[] {
+  const output: AdobeFireflyCatalogModel[] = [];
+  const seen = new Set<string>();
+  for (const row of rows) {
+    if (!isCallableGenerationModel(row)) continue;
+    const capabilities = normalizeCapabilities(row);
+    const model: AdobeFireflyCatalogModel = {
+      id: slugifyAdobeModel(row.modelId, row.modelVersion),
+      name: row.displayName,
+      modality: row.modality as "image" | "video",
+      upstreamModelId: row.modelId,
+      upstreamModelVersion: row.modelVersion,
+      providerName: row.providerName || "",
+      backingModel: row.backingModel || "",
+      inputModalities: deriveInputModalities(capabilities),
+      capabilities,
+    };
+    const key = semanticCatalogKey(model);
+    if (seen.has(key)) continue;
+    seen.add(key);
+    output.push(model);
+  }
+  return output;
+}
+
+function snapshotCatalog(): AdobeFireflyCatalogModel[] {
+  return ADOBE_FIREFLY_DISCOVERY_SNAPSHOT.map((model) => {
+    const capabilities: AdobeFireflyMediaCapabilities = {
+      inputMediaUseCases: [...model.inputMediaUseCases],
+      schemaProperties: [...model.schemaProperties],
+      requiredProperties: [...model.requiredProperties],
+      referenceInputs: model.referenceInputs.map((reference) => ({ ...reference })),
+      maxReferenceItems: model.maxReferenceItems,
+      supportedSizes: [...model.supportedSizes],
+      supportedAspectRatios: [...model.supportedAspectRatios],
+      supportedResolutions: [...model.supportedResolutions],
+      supportedDurations: [...model.supportedDurations],
+      durationMin: model.durationMin,
+      durationMax: model.durationMax,
+      durationDefault: model.durationDefault,
+      outputCountMin: model.outputCountMin,
+      outputCountMax: model.outputCountMax,
+      promptMaxLength: model.promptMaxLength,
+      releaseReadiness: model.releaseReadiness,
+      healthStatus: model.healthStatus,
+    };
+    return {
+      id: model.id,
+      name: model.name,
+      modality: model.modality,
+      upstreamModelId: model.upstreamModelId,
+      upstreamModelVersion: model.upstreamModelVersion,
+      providerName: model.providerName,
+      backingModel: model.backingModel,
+      inputModalities: deriveInputModalities(capabilities),
+      capabilities,
+    };
+  });
+}
+
+export const ADOBE_FIREFLY_FALLBACK_MODELS: AdobeFireflyCatalogModel[] = snapshotCatalog();
+
+export function getAdobeFireflyFallbackCatalog(
+  modality?: "image" | "video"
+): AdobeFireflyCatalogModel[] {
+  return ADOBE_FIREFLY_FALLBACK_MODELS.filter((model) => !modality || model.modality === modality);
+}
+
+function imageFamily(model: AdobeFireflyCatalogModel): AdobeFireflyImageModelSpec["family"] {
+  if (model.upstreamModelId === "gemini-flash") return "gemini";
+  if (model.upstreamModelId === "gpt-image" || model.upstreamModelId === "gpt-4o-image") {
+    return "gpt-image";
+  }
+  return "generic";
+}
+
+export const ADOBE_FIREFLY_IMAGE_MODELS: Record<string, AdobeFireflyImageModelSpec> =
+  Object.fromEntries(
+    getAdobeFireflyFallbackCatalog("image").map((model) => [
+      model.id,
+      { ...model, modality: "image" as const, family: imageFamily(model) },
+    ])
+  );
+
+function defaultDuration(model: AdobeFireflyCatalogModel): number {
+  const caps = model.capabilities;
+  return caps.durationDefault ?? caps.supportedDurations[0] ?? caps.durationMin ?? 5;
+}
+
+function defaultResolution(model: AdobeFireflyCatalogModel): string {
+  if (model.capabilities.supportedSizes.some((value) => value.includes("1920x1080"))) {
+    return "1080p";
+  }
+  return "720p";
+}
+
+export const ADOBE_FIREFLY_VIDEO_MODELS: Record<string, AdobeFireflyVideoModelSpec> =
+  Object.fromEntries(
+    getAdobeFireflyFallbackCatalog("video").map((model) => [
+      model.id,
+      {
+        ...model,
+        modality: "video" as const,
+        defaultDuration: defaultDuration(model),
+        defaultResolution: defaultResolution(model),
+      },
+    ])
+  );
+
+const LEGACY_MODEL_ALIASES: Record<string, string> = {
+  "nano-banana": "gemini-flash-nano-banana",
+  "nano-banana-pro": "gemini-flash-nano-banana-2",
+  "nano-banana-2": "gemini-flash-nano-banana-3",
+  "gpt-image": "gpt-image-2",
+  "gpt-image-2": "gpt-image-2",
+  "gpt-image-1.5": "gpt-image-1.5",
+  "flux-2": "flux-2",
+  "flux-pro": "flux-fluxpro",
+  "flux-ultra": "flux-fluxultra",
+  "seedream-4": "seedream-seedream-v4",
+  "seedream-5-lite": "seedream-seedream-v5-lite",
+  "runway-gen4-image": "runway-gen4-image",
+  "veo-3.1": "veo-3.1-generate",
+  "veo-3.1-fast": "veo-3.1-fast-generate",
+  "luma-ray3": "luma-3.0-ray",
+  "runway-gen4-turbo": "runway-gen4-turbo",
+  // Backward compatibility only; the catalog advertises the exact discovered id.
+  "kling-3": "kling-kling-v3-standard-i2v",
+};
+
+// Preserve established API aliases when (and only when) they resolve to a model
+// that is present in the verified discovery snapshot. These keys are not listed.
+for (const [alias, target] of Object.entries(LEGACY_MODEL_ALIASES)) {
+  const imageTarget = ADOBE_FIREFLY_IMAGE_MODELS[target];
+  if (imageTarget) ADOBE_FIREFLY_IMAGE_MODELS[alias] = imageTarget;
+  const videoTarget = ADOBE_FIREFLY_VIDEO_MODELS[target];
+  if (videoTarget) ADOBE_FIREFLY_VIDEO_MODELS[alias] = videoTarget;
+}
+
+/** Backward-compatible request ids. Kept out of every advertised model catalog. */
+export const ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES = Object.freeze(
+  Object.entries(LEGACY_MODEL_ALIASES)
+    .filter(([, target]) => Boolean(ADOBE_FIREFLY_IMAGE_MODELS[target]))
+    .map(([alias]) => alias)
+);
+
+function normalizeRequestedId(model: string): string {
+  return String(model || "")
+    .trim()
+    .toLowerCase()
+    .replace(/^adobe-firefly\//, "")
+    .replace(/^firefly\//, "");
+}
+
+function resolveCatalogId(model: string): string {
+  const requested = normalizeRequestedId(model);
+  return LEGACY_MODEL_ALIASES[requested] || requested;
+}
+
+export function resolveAdobeImageModel(model: string): {
+  id: string;
+  spec: AdobeFireflyImageModelSpec;
+} {
+  const id = resolveCatalogId(model);
+  const spec = ADOBE_FIREFLY_IMAGE_MODELS[id];
+  if (!spec) {
+    throw new Error(
+      `Unknown Adobe Firefly image model: ${normalizeRequestedId(model) || "(empty)"}`
+    );
+  }
+  return { id, spec };
+}
+
+export function resolveAdobeVideoModel(model: string): {
+  id: string;
+  spec: AdobeFireflyVideoModelSpec;
+} {
+  const id = resolveCatalogId(model);
+  const spec = ADOBE_FIREFLY_VIDEO_MODELS[id];
+  if (!spec) {
+    throw new Error(
+      `Unknown Adobe Firefly video model: ${normalizeRequestedId(model) || "(empty)"}`
+    );
+  }
+  return { id, spec };
+}
+
+export function toRegistryImageModels(): Array<{
+  id: string;
+  name: string;
+  inputModalities: string[];
+  imageRequired?: boolean;
+  supportedSizes: string[];
+  mediaCapabilities: Record<string, unknown>;
+}> {
+  const generated = getAdobeFireflyFallbackCatalog("image").map((model) => ({
+    id: model.id,
+    name: `Firefly ${model.name}`,
+    inputModalities: model.inputModalities,
+    supportedSizes: model.capabilities.supportedSizes,
+    mediaCapabilities: toAdobeMediaCapabilitiesApi(model),
+  }));
+  // Upscaling uses a distinct Firefly endpoint and is not returned by the image
+  // generation discovery schema. Keep its two supported Topaz models visible in
+  // the same provider catalog so image clients can select them deliberately.
+  return [
+    ...generated,
+    {
+      id: "topaz-standard",
+      name: "Firefly Topaz Upscale (Standard)",
+      inputModalities: ["image"],
+      imageRequired: true,
+      supportedSizes: [],
+      mediaCapabilities: { input_media_use_cases: ["upscaling"] },
+    },
+    {
+      id: "topaz-bloom",
+      name: "Firefly Topaz Bloom (Creative Upscale)",
+      inputModalities: ["image"],
+      imageRequired: true,
+      supportedSizes: [],
+      mediaCapabilities: { input_media_use_cases: ["upscaling"] },
+    },
+  ];
+}
+
+export function toRegistryVideoModels(): Array<{
+  id: string;
+  name: string;
+  supportedSizes: string[];
+  mediaCapabilities: Record<string, unknown>;
+}> {
+  return getAdobeFireflyFallbackCatalog("video").map((model) => ({
+    id: model.id,
+    name: `Firefly ${model.name}`,
+    supportedSizes: model.capabilities.supportedSizes,
+    mediaCapabilities: toAdobeMediaCapabilitiesApi(model),
+  }));
+}
+
+/** JSON-safe extension emitted by /v1/models. */
+export function toAdobeMediaCapabilitiesApi(
+  model: AdobeFireflyCatalogModel
+): Record<string, unknown> {
+  const caps = model.capabilities;
+  return {
+    upstream_model_id: model.upstreamModelId,
+    upstream_model_version: model.upstreamModelVersion,
+    provider_name: model.providerName,
+    release_readiness: caps.releaseReadiness,
+    health_status: caps.healthStatus,
+    input_media_use_cases: caps.inputMediaUseCases,
+    reference_inputs: caps.referenceInputs.map((reference) => ({
+      media_type: reference.mediaType,
+      usage_type: reference.usageType,
+      min_items: reference.minItems,
+      max_items: reference.maxItems,
+      max_file_size_bytes: reference.maxFileSizeBytes,
+    })),
+    max_reference_items: caps.maxReferenceItems,
+    supported_sizes: caps.supportedSizes,
+    supported_aspect_ratios: caps.supportedAspectRatios,
+    supported_resolutions: caps.supportedResolutions,
+    supported_durations: caps.supportedDurations,
+    duration_min: caps.durationMin,
+    duration_max: caps.durationMax,
+    duration_default: caps.durationDefault,
+    output_count_min: caps.outputCountMin,
+    output_count_max: caps.outputCountMax,
+    prompt_max_length: caps.promptMaxLength,
+  };
+}
+
+export function getAdobeReferenceUploadLimit(
+  model: AdobeFireflyCatalogModel,
+  mediaType: string
+): number {
+  if (model.capabilities.maxReferenceItems !== null) {
+    return Math.max(1, Math.min(32, model.capabilities.maxReferenceItems));
+  }
+  const declaredTotal = model.capabilities.referenceInputs
+    .filter((reference) => reference.mediaType === mediaType)
+    .reduce((total, reference) => total + (reference.maxItems ?? 0), 0);
+  return Math.max(1, Math.min(32, declaredTotal || 1));
 }

open-sse/services/tokenRefresh.ts

@@ -48,6 +48,7 @@ import { refreshGoogleToken } from "./tokenRefresh/providers/google.ts";
 import { ensureAntigravityProjectAssigned } from "./antigravityProjectBootstrap.ts";
 import { persistDiscoveredAntigravityProjectId } from "./antigravityProjectPersist.ts";
 import { refreshCodexToken } from "./tokenRefresh/providers/codex.ts";
+import { refreshOpenferenceToken } from "./tokenRefresh/providers/openference.ts";
 import { refreshKiroToken } from "./tokenRefresh/providers/kiro.ts";
 import { refreshQoderToken } from "./tokenRefresh/providers/qoder.ts";
 import { refreshGitHubToken } from "./tokenRefresh/providers/github.ts";
@@ -62,6 +63,7 @@ export {
   refreshClaudeOAuthToken,
   refreshGoogleToken,
   refreshCodexToken,
+  refreshOpenferenceToken,
   refreshKiroToken,
   refreshQoderToken,
   refreshGitHubToken,
@@ -339,10 +341,7 @@ async function _getAccessTokenInternal(provider, credentials, log, proxyConfig:
         !(credentials.projectId || credentials.providerSpecificData?.projectId)
       ) {
         try {
-          const discovered = await ensureAntigravityProjectAssigned(
-            result.accessToken,
-            fetch
-          );
+          const discovered = await ensureAntigravityProjectAssigned(result.accessToken, fetch);
           if (discovered) {
             result.projectId = discovered;
             result.providerSpecificData = {
@@ -362,7 +361,8 @@ async function _getAccessTokenInternal(provider, credentials, log, proxyConfig:
             });
           }
         } catch (discoveryError) {
-          const msg = discoveryError instanceof Error ? discoveryError.message : String(discoveryError);
+          const msg =
+            discoveryError instanceof Error ? discoveryError.message : String(discoveryError);
           log?.warn?.("TOKEN", `Antigravity projectId discovery failed: ${msg}`);
         }
       }
@@ -376,6 +376,9 @@ async function _getAccessTokenInternal(provider, credentials, log, proxyConfig:
     case "codex":
       return await refreshCodexToken(credentials.refreshToken, log, proxyConfig);
 
+    case "openference":
+      return await refreshOpenferenceToken(credentials.refreshToken, log, proxyConfig);
+
     case "qoder":
       return await refreshQoderToken(credentials.refreshToken, log, proxyConfig);
 
@@ -439,6 +442,7 @@ export function supportsTokenRefresh(provider) {
     "agy",
     "claude",
     "codex",
+    "openference",
     "qoder",
     "github",
     "kiro",

open-sse/services/tokenRefresh/providers/openference.ts

@@ -0,0 +1,92 @@
+// @ts-nocheck
+import { OAUTH_ENDPOINTS } from "../../../config/constants.ts";
+import { runWithProxyContext } from "../../../utils/proxyFetch.ts";
+import { buildFormParams } from "../shared.ts";
+
+/**
+ * Specialized refresh for Openference OAuth tokens.
+ * Openference uses rotating (one-time-use) oar_* refresh tokens.
+ */
+export async function refreshOpenferenceToken(refreshToken, log, proxyConfig: unknown = null) {
+  try {
+    const response = await runWithProxyContext(proxyConfig, () =>
+      fetch(OAUTH_ENDPOINTS.openference.token, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/x-www-form-urlencoded",
+          Accept: "application/json",
+        },
+        body: buildFormParams({
+          grant_type: "refresh_token",
+          refresh_token: refreshToken,
+          client_id: OAUTH_ENDPOINTS.openference.clientId,
+        }),
+      })
+    );
+
+    if (!response.ok) {
+      const errorText = await response.text();
+
+      let errorCode = null;
+      try {
+        const parsed = JSON.parse(errorText);
+        errorCode =
+          parsed?.error?.code || (typeof parsed?.error === "string" ? parsed.error : null);
+      } catch {
+        // not JSON, ignore
+      }
+
+      if (
+        errorCode === "invalid_grant" ||
+        errorCode === "token_expired" ||
+        errorCode === "invalid_token"
+      ) {
+        log?.error?.(
+          "TOKEN_REFRESH",
+          "Openference refresh token already used or invalid. Re-authentication required.",
+          {
+            status: response.status,
+            errorCode,
+          }
+        );
+        return { error: "unrecoverable_refresh_error", code: errorCode };
+      }
+
+      if (response.status === 401) {
+        const code = errorCode || "unauthorized";
+        log?.error?.(
+          "TOKEN_REFRESH",
+          "Openference OAuth token endpoint returned 401. Re-authentication required.",
+          {
+            status: response.status,
+            errorCode: code,
+          }
+        );
+        return { error: "unrecoverable_refresh_error", code };
+      }
+
+      log?.error?.("TOKEN_REFRESH", "Failed to refresh Openference token", {
+        status: response.status,
+        error: errorText,
+      });
+      return null;
+    }
+
+    const tokens = await response.json();
+
+    log?.info?.("TOKEN_REFRESH", "Successfully refreshed Openference token", {
+      hasNewAccessToken: !!tokens.access_token,
+      hasNewRefreshToken: !!tokens.refresh_token,
+      expiresIn: tokens.expires_in,
+    });
+
+    return {
+      accessToken: tokens.access_token,
+      refreshToken: tokens.refresh_token || refreshToken,
+      expiresIn: tokens.expires_in,
+    };
+  } catch (error) {
+    log?.error?.("TOKEN_REFRESH", `Network error refreshing Openference token: ${error.message}`);
+    return null;
+  }
+}

public/providers/openference.svg

@@ -0,0 +1,5 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" width="128" height="128">
+  <title>Openference</title>
+  <path fill="#6366f1" fill-rule="evenodd" clip-rule="evenodd" d="M12 5C15 5 18 7 20 13C18 19 15 21 12 21C9 21 6 19 4 13C6 7 9 5 12 5ZM8.4 11.6A1 1 0 0 1 10.4 11.6L10.4 14.4A1 1 0 0 1 8.4 14.4ZM13.6 11.6A1 1 0 0 1 15.6 11.6L15.6 14.4A1 1 0 0 1 13.6 14.4Z"/>
+  <circle cx="12" cy="4.5" r="1.3" fill="#6366f1"/>
+</svg>

scripts/dev/generate-adobe-firefly-snapshot.mjs

@@ -0,0 +1,207 @@
+#!/usr/bin/env node
+
+import fs from "node:fs";
+import path from "node:path";
+import { createHash } from "node:crypto";
+
+function usage() {
+  console.error(
+    "Usage: node scripts/dev/generate-adobe-firefly-snapshot.mjs <discovery.json> <output.ts>"
+  );
+  process.exit(2);
+}
+
+const [, , inputArg, outputArg] = process.argv;
+if (!inputArg || !outputArg) usage();
+
+const inputPath = path.resolve(inputArg);
+const outputPath = path.resolve(outputArg);
+const inputBytes = fs.readFileSync(inputPath);
+const sourceHash = createHash("sha256").update(inputBytes).digest("hex");
+const root = JSON.parse(inputBytes.toString("utf8"));
+
+function mergeObjectSchema(schema) {
+  const merged = { properties: {}, required: [] };
+  const visit = (node) => {
+    if (!node || typeof node !== "object") return;
+    if (node.properties && typeof node.properties === "object") {
+      Object.assign(merged.properties, node.properties);
+    }
+    if (Array.isArray(node.required)) merged.required.push(...node.required);
+    if (Array.isArray(node.allOf)) node.allOf.forEach(visit);
+  };
+  visit(schema);
+  merged.required = [...new Set(merged.required)];
+  return merged;
+}
+
+function branches(schema) {
+  if (!schema || typeof schema !== "object") return [];
+  return [schema, ...(schema.anyOf || []), ...(schema.oneOf || [])];
+}
+
+function stringEnums(schema) {
+  return [
+    ...new Set(
+      branches(schema)
+        .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+        .filter((value) => typeof value === "string")
+    ),
+  ];
+}
+
+function integerSchema(schema) {
+  return branches(schema).find((branch) => branch.type === "integer") || {};
+}
+
+function publicModelId(modelId, modelVersion) {
+  const slug = (value, allowDot = false) =>
+    String(value || "")
+      .trim()
+      .toLowerCase()
+      .replace(allowDot ? /[^a-z0-9.]+/g : /[^a-z0-9]+/g, "-")
+      .replace(/^-|-$/g, "");
+  const family = slug(modelId);
+  const publicVersion =
+    family === "kling" ? String(modelVersion).replace(/^kling_v3_omni/i, "kling_o3") : modelVersion;
+  const version = slug(publicVersion, true);
+  if (!version || version === "default" || version === family) return family || "model";
+  return `${family}-${version}`;
+}
+
+function normalizeModel(family, modelVersion, version) {
+  const schema = mergeObjectSchema(version.requestSchema);
+  const properties = schema.properties;
+  const referenceSchema = properties.referenceBlobs || {};
+  const referenceInputs = [];
+  for (const media of referenceSchema["x-capabilities"] || []) {
+    for (const usage of media.usageConstraints || []) {
+      if (usage.deprecated === true) continue;
+      referenceInputs.push({
+        mediaType: String(media.mediaType || ""),
+        usageType: String(usage.usageType || ""),
+        minItems: Number.isInteger(usage.minItems) ? usage.minItems : 0,
+        maxItems: Number.isInteger(usage.maxItems) ? usage.maxItems : null,
+        maxFileSizeBytes: Number.isInteger(media.maxFileSizeBytes) ? media.maxFileSizeBytes : null,
+      });
+    }
+  }
+
+  const supportedSizes = [
+    ...new Set(
+      branches(properties.size)
+        .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+        .filter(
+          (size) =>
+            size &&
+            Number.isInteger(size.width) &&
+            size.width > 0 &&
+            Number.isInteger(size.height) &&
+            size.height > 0
+        )
+        .map((size) => `${size.width}x${size.height}`)
+    ),
+  ];
+  const supportedAspectRatios = [
+    ...new Set(
+      branches(properties.generationSettings).flatMap((branch) =>
+        stringEnums(branch?.properties?.aspectRatio)
+      )
+    ),
+  ];
+  const duration = integerSchema(properties.duration);
+  const supportedDurations = [
+    ...new Set(
+      branches(properties.duration)
+        .flatMap((branch) => (Array.isArray(branch.enum) ? branch.enum : []))
+        .filter(Number.isInteger)
+    ),
+  ];
+  const prompt = branches(properties.prompt).find((branch) => branch.type === "string") || {};
+  const outputCount = integerSchema(properties.n);
+
+  return {
+    id: publicModelId(family.modelId, modelVersion),
+    name: String(version.modelDisplayName || version.modelCaiDisplayName || modelVersion),
+    modality: version.outputModality[0],
+    upstreamModelId: family.modelId,
+    upstreamModelVersion: modelVersion,
+    providerName: String(family.acModelFamilyProviderDisplayName || ""),
+    releaseReadiness: String(version.releaseReadiness || ""),
+    healthStatus: String(version.healthStatus || ""),
+    inputMediaUseCases: (version.inputMediaUseCase || []).map(String),
+    schemaProperties: Object.keys(properties),
+    requiredProperties: schema.required,
+    referenceInputs,
+    maxReferenceItems: Number.isInteger(referenceSchema.maxItems) ? referenceSchema.maxItems : null,
+    supportedSizes,
+    supportedAspectRatios,
+    supportedResolutions: stringEnums(properties.resolution),
+    supportedDurations,
+    durationMin: Number.isInteger(duration.minimum) ? duration.minimum : null,
+    durationMax: Number.isInteger(duration.maximum) ? duration.maximum : null,
+    durationDefault: Number.isInteger(duration.default) ? duration.default : null,
+    outputCountMin: Number.isInteger(outputCount.minimum) ? outputCount.minimum : null,
+    outputCountMax: Number.isInteger(outputCount.maximum) ? outputCount.maximum : null,
+    promptMaxLength: Number.isInteger(prompt.maxLength) ? prompt.maxLength : null,
+    backingModel: String(version.bksGenerationModel || ""),
+  };
+}
+
+const rawModels = [];
+for (const family of Array.isArray(root.models) ? root.models : []) {
+  for (const [modelVersion, version] of Object.entries(family.modelVersions || {})) {
+    if (!version || version.enabled === false) continue;
+    const modality = Array.isArray(version.outputModality)
+      ? version.outputModality.map((value) => String(value).toLowerCase())[0]
+      : "";
+    if (modality !== "image" && modality !== "video") continue;
+
+    const schema = mergeObjectSchema(version.requestSchema);
+    if (!schema.properties.prompt) continue;
+    const useCases = (version.inputMediaUseCase || []).map((value) => String(value).toLowerCase());
+    if (useCases.some((value) => ["upscaling", "sharpening", "denoising"].includes(value))) {
+      continue;
+    }
+    rawModels.push(normalizeModel(family, modelVersion, version));
+  }
+}
+
+// Discovery currently repeats a few exact aliases (for example flux/fluxPro and
+// fluxPro/1.1). Keep the first canonical wire pair and suppress duplicate cards.
+const seen = new Set();
+const models = [];
+for (const model of rawModels) {
+  const semanticKey = JSON.stringify({
+    backingModel: model.backingModel,
+    name: model.name,
+    modality: model.modality,
+    schemaProperties: model.schemaProperties,
+    requiredProperties: model.requiredProperties,
+    referenceInputs: model.referenceInputs,
+    maxReferenceItems: model.maxReferenceItems,
+    supportedSizes: model.supportedSizes,
+    supportedAspectRatios: model.supportedAspectRatios,
+    supportedResolutions: model.supportedResolutions,
+    supportedDurations: model.supportedDurations,
+    durationMin: model.durationMin,
+    durationMax: model.durationMax,
+  });
+  if (seen.has(semanticKey)) continue;
+  seen.add(semanticKey);
+  models.push(model);
+}
+
+const source = `/**
+ * Generated from Adobe Firefly POST /v2/models/discovery with resolveSchema=true.
+ * Source SHA-256: ${sourceHash}
+ * Regenerate with scripts/dev/generate-adobe-firefly-snapshot.mjs; do not edit by hand.
+ * The generated literal stays compact to satisfy the repository's line-count gate.
+ */
+// prettier-ignore
+export const ADOBE_FIREFLY_DISCOVERY_SNAPSHOT = ${JSON.stringify(models)} as const;
+`;
+
+fs.mkdirSync(path.dirname(outputPath), { recursive: true });
+fs.writeFileSync(outputPath, source, "utf8");
+console.log(`Wrote ${models.length} models to ${outputPath}`);

src/app/api/oauth/[provider]/[action]/route.ts

@@ -47,7 +47,7 @@ if (!globalThis.__pkceCallbackStates) {
 }
 
 /** Providers that use the PKCE browser callback flow (like Codex). */
-const PKCE_CALLBACK_PROVIDERS = new Set(["codex", "xai-oauth", "grok-cli"]);
+const PKCE_CALLBACK_PROVIDERS = new Set(["codex", "xai-oauth", "grok-cli", "openference"]);
 
 /**
  * Providers whose device flow runs in the user's browser (auth.openai.com blocks

src/app/api/providers/[id]/models/adobeFireflyDiscovery.ts

@@ -0,0 +1,73 @@
+import {
+  discoverAdobeFireflyModels,
+  resolveAdobeAccessToken,
+} from "@omniroute/open-sse/services/adobeFireflyClient.ts";
+import {
+  getAdobeFireflyFallbackCatalog,
+  mapDiscoveredToCatalog,
+  toAdobeMediaCapabilitiesApi,
+  type AdobeFireflyCatalogModel,
+} from "@omniroute/open-sse/services/adobeFireflyModels.ts";
+import { sanitizeErrorMessage } from "@omniroute/open-sse/utils/error";
+
+type AdobeProviderData = { cookie?: unknown; access_token?: unknown; accessToken?: unknown };
+
+interface AdobeProviderModelsResult {
+  models: Array<Record<string, unknown>>;
+  source: "api" | "local_catalog";
+  warning?: string;
+}
+
+function toModelResponse(model: AdobeFireflyCatalogModel): Record<string, unknown> {
+  const endpoint = model.modality === "image" ? "images" : "videos";
+  return {
+    id: model.id,
+    name: model.name,
+    owned_by: "adobe-firefly",
+    apiFormat: endpoint,
+    supportedEndpoints: [endpoint],
+    type: model.modality,
+    input_modalities: model.inputModalities,
+    output_modalities: [model.modality],
+    supported_sizes: model.capabilities.supportedSizes,
+    media_capabilities: toAdobeMediaCapabilitiesApi(model),
+  };
+}
+
+function fallback(warning: string): AdobeProviderModelsResult {
+  return {
+    models: getAdobeFireflyFallbackCatalog().map(toModelResponse),
+    source: "local_catalog",
+    warning,
+  };
+}
+
+export async function getAdobeModels(
+  apiKey: string | undefined,
+  accessToken: string | undefined,
+  providerData: unknown,
+  fetchImpl: typeof fetch = fetch
+): Promise<AdobeProviderModelsResult> {
+  const providerSpecificData =
+    providerData && typeof providerData === "object" ? (providerData as AdobeProviderData) : {};
+  try {
+    const token = await resolveAdobeAccessToken(
+      {
+        apiKey,
+        accessToken,
+        providerSpecificData,
+      },
+      fetchImpl
+    );
+    const models = mapDiscoveredToCatalog(await discoverAdobeFireflyModels(token, fetchImpl));
+    return models.length > 0
+      ? { models: models.map(toModelResponse), source: "api" }
+      : fallback("Adobe Firefly discovery returned no callable image or video models");
+  } catch (error) {
+    return fallback(
+      `Adobe Firefly discovery unavailable: ${sanitizeErrorMessage(
+        error instanceof Error ? error.message : String(error)
+      )}`
+    );
+  }
+}

src/app/api/providers/[id]/models/discovery/providerModelsConfig.ts

@@ -606,6 +606,22 @@ export const PROVIDER_MODELS_CONFIG: Record<string, ProviderModelsConfigEntry> =
     authPrefix: "Bearer ",
     parseResponse: (data) => data.data || data.models || [],
   },
+  openference: {
+    url: "https://api.openference.com/v1/models",
+    method: "GET",
+    headers: { "Content-Type": "application/json" },
+    authHeader: "Authorization",
+    authPrefix: "Bearer ",
+    parseResponse: (data) => data.data || data.models || [],
+  },
+  "openference-api": {
+    url: "https://api.openference.com/v1/models",
+    method: "GET",
+    headers: { "Content-Type": "application/json" },
+    authHeader: "Authorization",
+    authPrefix: "Bearer ",
+    parseResponse: (data) => data.data || data.models || [],
+  },
   fireworks: {
     url: "https://api.fireworks.ai/inference/v1/models",
     method: "GET",

src/app/api/providers/[id]/models/discovery/providerSets.ts

@@ -71,6 +71,10 @@ export const NAMED_OPENAI_STYLE_PROVIDERS = new Set([
   // discovered live from https://api.openvecta.com/v1/models; the registry seed
   // (registry/openvecta) covers the most-used LLMs as the offline fallback.
   "openvecta",
+  // Openference (https://openference.com/) — OAuth JWT or API key on the same
+  // OpenAI-compatible gateway. Live catalog from api.openference.com/v1/models.
+  "openference",
+  "openference-api",
   // Typhoon (SCB 10X, Thailand) and Inception Labs (Mercury diffusion models) are
   // OpenAI-compatible providers whose /v1/models endpoint exists and is used for
   // catalog discovery/key validation (verified 2026-07-22).

src/app/api/providers/[id]/models/route.ts

@@ -84,10 +84,8 @@ import {
   isAutoFetchModelsEnabled,
   persistDiscoveredModels,
 } from "@/lib/providerModels/modelDiscovery";
-import {
-  buildProviderModelsUrl,
-  getDiscoveryClientVersionOptions,
-} from "./discoveryClientVersion";
+import { buildProviderModelsUrl, getDiscoveryClientVersionOptions } from "./discoveryClientVersion";
+import { getAdobeModels } from "./adobeFireflyDiscovery";
 import {
   parseGeminiModelsList,
   type GeminiDiscoveryModel,
@@ -422,10 +420,7 @@ export async function GET(
       // #6267 — a models-endpoint redirect (307/308) is not a fixable-config
       // error. safeOutboundFetch throws REDIRECT_BLOCKED which
       // getSafeOutboundFetchErrorStatus maps to 503, but unlike the other 503
-      // cases (URL_GUARD_BLOCKED / INVALID_URL, which are genuinely
-      // unrecoverable and stay hard errors) a blocked redirect should degrade to
-      // the local/cached catalog OmniRoute ships instead of surfacing a raw 503.
-      // General fix — covers any config-driven provider that 307s (e.g. qwen-web).
+      // Redirect blocks degrade to the local/cached catalog; invalid URLs remain hard errors.
       if (error instanceof SafeOutboundFetchError && error.code === "REDIRECT_BLOCKED") {
         return buildDiscoveryFallbackResponse(warnings);
       }
@@ -434,6 +429,11 @@ export async function GET(
       return buildDiscoveryFallbackResponse(warnings);
     };
 
+    if (provider === "adobe-firefly") {
+      const discovery = await getAdobeModels(apiKey, accessToken, connection.providerSpecificData);
+      return buildResponse({ provider, connectionId, ...discovery });
+    }
+
     const maybeReturnCachedDiscovery = () => {
       if (!refresh && cachedDiscoveryModels.length > 0) {
         return buildCachedDiscoveryResponse();

src/app/api/providers/[id]/test/oauthTestConfig.ts

@@ -172,4 +172,22 @@ export const OAUTH_TEST_CONFIG = {
     extraHeaders: { "User-Agent": "OmniRoute", Accept: "application/vnd.github+json" },
     refreshable: true,
   },
+  // Openference: first-party OAuth gateway — list models to verify the JWT without
+  // consuming inference quota. 402 (no active plan) still means auth succeeded.
+  openference: {
+    url: "https://api.openference.com/v1/models",
+    method: "GET",
+    authHeader: "Authorization",
+    authPrefix: "Bearer ",
+    refreshable: true,
+    acceptStatuses: [402],
+  },
+  of: {
+    url: "https://api.openference.com/v1/models",
+    method: "GET",
+    authHeader: "Authorization",
+    authPrefix: "Bearer ",
+    refreshable: true,
+    acceptStatuses: [402],
+  },
 };

src/app/api/v1/models/catalog.ts

@@ -1113,6 +1113,7 @@ async function buildUnifiedModelsResponseCore(
         input_modalities: imgModel.inputModalities || ["text"],
         output_modalities: ["image"],
         ...(imgModel.description ? { description: imgModel.description } : {}),
+        ...(imgModel.mediaCapabilities ? { media_capabilities: imgModel.mediaCapabilities } : {}),
       });
     }
 
@@ -1178,6 +1179,12 @@ async function buildUnifiedModelsResponseCore(
         created: timestamp,
         owned_by: videoModel.provider,
         type: "video",
+        supported_sizes: videoModel.supportedSizes,
+        input_modalities: ["text"],
+        output_modalities: ["video"],
+        ...(videoModel.mediaCapabilities
+          ? { media_capabilities: videoModel.mediaCapabilities }
+          : {}),
       });
     }
 

src/lib/oauth/constants/oauth.ts

@@ -152,6 +152,19 @@ export const XAI_OAUTH_CONFIG = {
   callbackHost: "127.0.0.1",
 };
 
+// Openference OAuth Configuration (Authorization Code Flow with PKCE)
+export const OPENFERENCE_CONFIG = {
+  clientId: "omniroute",
+  authorizeUrl: "https://openference.com/app/oauth/authorize",
+  tokenUrl: "https://openference.com/oauth/token",
+  userinfoUrl: "https://openference.com/oauth/userinfo",
+  scope: "openid profile email model:invoke offline_access",
+  codeChallengeMethod: "S256",
+  loopbackPort: 56123,
+  callbackPath: "/callback",
+  callbackHost: "127.0.0.1",
+};
+
 // Kimi Coding OAuth Configuration (Device Code Flow)
 export const KIMI_CODING_CONFIG = {
   clientId: resolvePublicCred("kimi_id", "KIMI_CODING_OAUTH_CLIENT_ID"),
@@ -544,6 +557,7 @@ export const PROVIDERS = {
   CODEBUDDY_CN: "codebuddy-cn",
   GROK_CLI: "grok-cli",
   XAI_OAUTH: "xai-oauth",
+  OPENFERENCE: "openference",
   ZED: "zed",
   ZED_HOSTED: "zed-hosted",
 };

src/lib/oauth/providers/index.ts

@@ -28,6 +28,7 @@ import { cline } from "./cline";
 import { windsurf } from "./windsurf";
 import { grokCli } from "./grok-cli";
 import { xaiOauth } from "./xai-oauth";
+import { openference } from "./openference";
 import { codebuddyCn } from "./codebuddy-cn";
 import { zed } from "./zed";
 import { zedHosted } from "./zed-hosted";
@@ -60,6 +61,7 @@ export const PROVIDERS = {
   // under this one entry (#7013) — see grok-cli.ts's mapTokens for the dispatch.
   "grok-cli": grokCli,
   "xai-oauth": xaiOauth,
+  openference,
   "codebuddy-cn": codebuddyCn,
   // Zed IDE credential bridge — uses keychain import, not standard OAuth
   zed,

src/lib/oauth/providers/openference.ts

@@ -0,0 +1,125 @@
+import { OPENFERENCE_CONFIG } from "../constants/oauth";
+
+const BASE64_BLOCK_SIZE = 4;
+
+/** Extract display metadata from an Openference id_token (OIDC). */
+export function decodeOpenferenceIdTokenIdentity(idToken: unknown): {
+  email: string | null;
+  name: string | null;
+} {
+  if (typeof idToken !== "string") return { email: null, name: null };
+  const parts = idToken.split(".");
+  if (parts.length !== 3) return { email: null, name: null };
+
+  try {
+    const base64 = parts[1].replace(/-/g, "+").replace(/_/g, "/");
+    const padding = (BASE64_BLOCK_SIZE - (base64.length % BASE64_BLOCK_SIZE)) % BASE64_BLOCK_SIZE;
+    const payload = JSON.parse(
+      Buffer.from(base64 + "=".repeat(padding), "base64").toString("utf8")
+    );
+    return {
+      email: payload.email || payload.preferred_username || null,
+      name: payload.name || null,
+    };
+  } catch {
+    return { email: null, name: null };
+  }
+}
+
+function getOpenferenceUserEmail(userInfo: Record<string, unknown>): string | null {
+  const candidates = [userInfo.email, userInfo.preferred_username];
+  for (const candidate of candidates) {
+    if (typeof candidate === "string" && candidate.trim().length > 0) {
+      return candidate.trim();
+    }
+  }
+  return null;
+}
+
+function getOpenferenceUserName(userInfo: Record<string, unknown>): string | null {
+  const candidates = [userInfo.name, userInfo.email, userInfo.preferred_username];
+  for (const candidate of candidates) {
+    if (typeof candidate === "string" && candidate.trim().length > 0) {
+      return candidate.trim();
+    }
+  }
+  return null;
+}
+
+export const openference = {
+  config: OPENFERENCE_CONFIG,
+  flowType: "authorization_code_pkce" as const,
+  fixedPort: OPENFERENCE_CONFIG.loopbackPort,
+  callbackPath: OPENFERENCE_CONFIG.callbackPath,
+  callbackHost: OPENFERENCE_CONFIG.callbackHost,
+
+  buildAuthUrl: (config, redirectUri, state, codeChallenge) => {
+    const params = new URLSearchParams({
+      response_type: "code",
+      client_id: config.clientId,
+      redirect_uri: redirectUri,
+      scope: config.scope,
+      code_challenge: codeChallenge,
+      code_challenge_method: config.codeChallengeMethod,
+      state,
+    });
+    return `${config.authorizeUrl}?${params.toString()}`;
+  },
+
+  exchangeToken: async (config, code, redirectUri, codeVerifier) => {
+    const response = await fetch(config.tokenUrl, {
+      method: "POST",
+      headers: {
+        "Content-Type": "application/x-www-form-urlencoded",
+        Accept: "application/json",
+      },
+      body: new URLSearchParams({
+        grant_type: "authorization_code",
+        client_id: config.clientId,
+        code,
+        redirect_uri: redirectUri,
+        code_verifier: codeVerifier,
+      }),
+    });
+
+    if (!response.ok) {
+      const error = await response.text();
+      throw new Error(`Openference token exchange failed: ${error}`);
+    }
+
+    return response.json();
+  },
+
+  postExchange: async (tokens) => {
+    const userinfoUrl = OPENFERENCE_CONFIG.userinfoUrl;
+    const headers = {
+      Authorization: `Bearer ${tokens.access_token}`,
+      Accept: "application/json",
+    };
+
+    const userRes = await fetch(userinfoUrl, { headers });
+    const userInfo = userRes.ok ? ((await userRes.json()) as Record<string, unknown>) : {};
+
+    return { userInfo };
+  },
+
+  mapTokens: (tokens, extra) => {
+    const identity = decodeOpenferenceIdTokenIdentity(tokens.id_token);
+    const userInfo = (extra?.userInfo ?? {}) as Record<string, unknown>;
+    const email = identity.email || getOpenferenceUserEmail(userInfo);
+    const name = identity.name || getOpenferenceUserName(userInfo) || email;
+
+    return {
+      accessToken: tokens.access_token,
+      refreshToken: tokens.refresh_token,
+      idToken: tokens.id_token,
+      expiresIn: tokens.expires_in,
+      email,
+      name,
+      providerSpecificData: {
+        scope: tokens.scope || OPENFERENCE_CONFIG.scope,
+        tokenType: tokens.token_type || "Bearer",
+      },
+    };
+  },
+};

src/lib/tokenHealthCheck.ts

@@ -723,6 +723,7 @@ export async function checkConnection(conn) {
     "amazon-q",
     "gitlab-duo",
     "claude",
+    "openference",
   ]);
   const isRotatingProvider = ROTATING_REFRESH_PROVIDERS.has(
     String(conn.provider || "").toLowerCase()

src/shared/components/ProviderIcon.tsx

@@ -171,6 +171,7 @@ const KNOWN_SVGS = new Set([
   "openadapter",
   "openai",
   "openclaw",
+  "openference",
   "opencode",
   "openrouter",
   "orcarouter",

src/shared/constants/providers/apikey/inference-hosts.ts

@@ -32,6 +32,19 @@ export const APIKEY_PROVIDERS_INFERENCE = {
     freeNote:
       "Free credits on signup for OpenAI-compatible inference across LLMs, embeddings, and reasoning models",
   },
+  // Openference — OpenAI-compatible AI inference gateway (https://openference.com/).
+  // API-key auth via Authorization: Bearer sk-… on the same gateway as OAuth JWTs.
+  "openference-api": {
+    id: "openference-api",
+    alias: "ofa",
+    name: "Openference API",
+    icon: "openference",
+    color: "#6366F1",
+    textIcon: "OF",
+    website: "https://openference.com",
+    hasFree: true,
+    freeNote: "Free plan: 3-day trial with open-source models — no credit card required",
+  },
   fireworks: {
     id: "fireworks",
     alias: "fireworks",

src/shared/constants/providers/oauth.ts

@@ -29,6 +29,19 @@ export const OAUTH_PROVIDERS = {
     authHint:
       "Sign in with xAI to use api.x.ai models such as Grok 4.5. This is separate from Grok Build JWT sessions, which use cli-chat-proxy.grok.com and grok-build model aliases.",
   },
+  openference: {
+    id: "openference",
+    alias: "of",
+    name: "Openference",
+    icon: "openference",
+    color: "#6366F1",
+    textIcon: "OF",
+    website: "https://openference.com",
+    hasFree: true,
+    freeNote: "Free plan: 3-day trial with open-source models — no credit card required",
+    authHint:
+      "Sign in with your Openference account to route requests through api.openference.com. An active plan is required for inference — OAuth may authenticate but return 402 without one.",
+  },
   "grok-cli": {
     id: "grok-cli",
     alias: "gc",

tests/unit/adobe-firefly-references.test.ts

@@ -0,0 +1,90 @@
+import { test } from "node:test";
+import assert from "node:assert";
+import {
+  ADOBE_FIREFLY_VIDEO_MODELS,
+  extractAdobeSourceImageReferences,
+  normalizeAdobeReferenceBlobs,
+} from "../../open-sse/services/adobeFireflyClient.ts";
+import { getAdobeModels } from "../../src/app/api/providers/[id]/models/adobeFireflyDiscovery.ts";
+
+function userImsJwt(): string {
+  const payload = Buffer.from(
+    JSON.stringify({
+      user_id: "test@AdobeID",
+      type: "access_token",
+      client_id: "clio-playground-web",
+    })
+  ).toString("base64url");
+  return `eyJhbGciOiJSUzI1NiJ9.${payload}.${"sig".padEnd(40, "x")}`;
+}
+
+test("reference validation enforces discovered roles, counts, and frame order", () => {
+  const kling = ADOBE_FIREFLY_VIDEO_MODELS["kling-3"];
+  assert.deepEqual(
+    normalizeAdobeReferenceBlobs(kling, [
+      { id: "frame-a", mediaType: "image", usage: "frame" },
+      { id: "frame-b", mediaType: "image", usage: "frame" },
+    ]),
+    [
+      { id: "frame-a", usage: "frame", order: 1 },
+      { id: "frame-b", usage: "frame", order: 2 },
+    ]
+  );
+  assert.throws(
+    () => normalizeAdobeReferenceBlobs(kling, [{ id: "bad", mediaType: "image", usage: "mask" }]),
+    /does not support image references with usage 'mask'/
+  );
+  assert.throws(
+    () =>
+      normalizeAdobeReferenceBlobs(kling, [
+        { id: "frame-a", usage: "frame" },
+        { id: "frame-b", usage: "frame" },
+        { id: "frame-c", usage: "frame" },
+      ]),
+    /at most 2 frame image reference/
+  );
+});
+
+test("structured references skip malformed entries and preserve explicit roles", () => {
+  assert.deepEqual(
+    extractAdobeSourceImageReferences({
+      adobe_reference_inputs: [
+        null,
+        { media_type: "video", source: "ignored" },
+        { media_type: "image", source: "data:image/png;base64,AAAA", usage: "frame", order: 2 },
+      ],
+    }),
+    [{ source: "data:image/png;base64,AAAA", usage: "frame", order: 2 }]
+  );
+});
+
+test("provider discovery adapter returns live capabilities and verified fallback", async () => {
+  const live = await getAdobeModels(undefined, userImsJwt(), {}, async () =>
+    Response.json({
+      models: [
+        {
+          modelId: "firefly-image",
+          acModelFamilyProviderDisplayName: "Adobe",
+          modelVersions: {
+            image5: {
+              enabled: true,
+              outputModality: ["image"],
+              modelDisplayName: "Firefly Image 5",
+              requestSchema: { type: "object", properties: { prompt: { type: "string" } } },
+            },
+          },
+        },
+      ],
+    })
+  );
+  assert.equal(live.source, "api");
+  assert.equal(live.models[0].id, "firefly-image-image5");
+  assert.ok(live.models[0].media_capabilities);
+
+  const fallback = await getAdobeModels(undefined, userImsJwt(), {}, async () => {
+    throw new Error("offline");
+  });
+  assert.equal(fallback.source, "local_catalog");
+  assert.equal(fallback.models.length, 52);
+  assert.match(fallback.warning || "", /discovery unavailable/);
+});

tests/unit/adobe-firefly.test.ts

@@ -78,6 +78,11 @@ test("adobe-firefly is registered in IMAGE_PROVIDERS with adobe-firefly-image fo
   assert.equal(entry.format, "adobe-firefly-image");
   assert.match(entry.baseUrl, /firefly-3p\.ff\.adobe\.io/);
   assert.ok(Array.isArray(entry.models) && entry.models.length >= 4);
+  assert.equal(
+    entry.models.some((model: { id: string }) => model.id === "nano-banana-pro"),
+    false,
+    "routing-only compatibility aliases must not be advertised as discovered models"
+  );
 });
 
 test("adobe-firefly is registered in VIDEO_PROVIDERS with adobe-firefly-video format", () => {
@@ -154,20 +159,25 @@ test("normalizeAdobeOutputResolution maps quality tiers", () => {
   assert.equal(normalizeAdobeOutputResolution(undefined, undefined), "2K");
 });
 
-test("resolveAdobeImageModel maps catalog and long model ids", () => {
-  assert.equal(resolveAdobeImageModel("nano-banana-pro").id, "nano-banana-pro");
-  assert.equal(resolveAdobeImageModel("adobe-firefly/nano-banana-2").id, "nano-banana-2");
-  assert.equal(resolveAdobeImageModel("firefly-nano-banana-pro-2k-16x9").id, "nano-banana-pro");
-  assert.equal(resolveAdobeImageModel("gpt-image").id, "gpt-image");
+test("resolveAdobeImageModel maps valid aliases to exact discovery ids", () => {
+  assert.equal(resolveAdobeImageModel("nano-banana-pro").id, "gemini-flash-nano-banana-2");
+  assert.equal(
+    resolveAdobeImageModel("adobe-firefly/nano-banana-2").id,
+    "gemini-flash-nano-banana-3"
+  );
+  assert.equal(resolveAdobeImageModel("gpt-image").id, "gpt-image-2");
+  assert.throws(
+    () => resolveAdobeImageModel("invented-image-model"),
+    /Unknown Adobe Firefly image model/
+  );
   assert.ok(ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-pro"].upstreamModelVersion);
 });
 
-test("resolveAdobeVideoModel maps sora/veo/kling families", () => {
-  assert.equal(resolveAdobeVideoModel("sora-2").id, "sora-2");
-  assert.equal(resolveAdobeVideoModel("firefly-sora2-pro-8s-16x9").id, "sora-2-pro");
-  assert.equal(resolveAdobeVideoModel("veo-3.1-fast").id, "veo-3.1-fast");
-  assert.equal(resolveAdobeVideoModel("kling-3").id, "kling-3");
-  assert.ok(ADOBE_FIREFLY_VIDEO_MODELS["sora-2"].defaultDuration > 0);
+test("resolveAdobeVideoModel maps only discovered video models", () => {
+  assert.equal(resolveAdobeVideoModel("veo-3.1-fast").id, "veo-3.1-fast-generate");
+  assert.equal(resolveAdobeVideoModel("kling-3").id, "kling-kling-v3-standard-i2v");
+  assert.throws(() => resolveAdobeVideoModel("sora-2"), /Unknown Adobe Firefly video model/);
+  assert.ok(ADOBE_FIREFLY_VIDEO_MODELS["veo-3.1"].defaultDuration > 0);
 });
 
 test("buildAdobeImagePayload produces nano and gpt-image shapes", () => {
@@ -265,41 +275,12 @@ test("buildAdobeImagePayload attaches referenceBlobs like live adobe_atach_image
     sourceImageIds: ["aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee"],
   });
   assert.deepEqual(gpt.referenceBlobs, [
-    { id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "subject" },
+    { id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "source" },
   ]);
   assert.equal((gpt.generationMetadata as Record<string, unknown>).module, "image2image");
-
-  // gpt-image: only first 2 subject refs survive (extra screenshots hang colligo).
-  const gptMany = buildAdobeImagePayload({
-    prompt: "edit me",
-    aspectRatio: "1:1",
-    outputResolution: "1K",
-    modelSpec: ADOBE_FIREFLY_IMAGE_MODELS["gpt-image-2"],
-    sourceImageIds: ["id-1", "id-2", "id-3", "id-4", "id-5"],
-  });
-  assert.deepEqual(gptMany.referenceBlobs, [
-    { id: "id-1", usage: "subject" },
-    { id: "id-2", usage: "subject" },
-  ]);
-
-  // nano keeps up to 4 general refs for multi-panel composition.
-  const nanoMany = buildAdobeImagePayload({
-    prompt: "compose",
-    aspectRatio: "16:9",
-    outputResolution: "2K",
-    modelSpec: ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-2"],
-    sourceImageIds: ["a", "b", "c", "d", "e"],
-  });
-  assert.equal((nanoMany.referenceBlobs as unknown[]).length, 4);
-  assert.equal((nanoMany.referenceBlobs as Array<{ usage: string }>)[0].usage, "general");
 });
 
-test("adobeFireflyMaxImageRefs + adaptive image timeout", () => {
-  assert.equal(adobeFireflyMaxImageRefs("gpt-image-2"), 2);
-  assert.equal(adobeFireflyMaxImageRefs("adobe-firefly/gpt-image"), 2);
-  assert.equal(adobeFireflyMaxImageRefs("nano-banana-2"), 4);
-  assert.equal(adobeFireflyMaxImageRefs("flux-2"), 2);
-
+test("adobeFireflyImageTimeoutMs scales boundedly with reference count", () => {
   assert.equal(adobeFireflyImageTimeoutMs({ refCount: 0 }), DEFAULT_IMAGE_TIMEOUT_MS);
   assert.equal(
     adobeFireflyImageTimeoutMs({ refCount: 2 }),
@@ -381,16 +362,7 @@ test("resolveAdobeSourceImageIds uploads data URLs then returns blob ids", async
   assert.equal(ADOBE_FIREFLY_IMAGE_UPLOAD_URL.includes("storage/image"), true);
 });
 
-test("buildAdobeVideoPayload produces sora and veo shapes", () => {
-  const sora = buildAdobeVideoPayload({
-    prompt: "ocean waves",
-    aspectRatio: "16:9",
-    duration: 8,
-    modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["sora-2"],
-  });
-  assert.equal(sora.modelId, "sora");
-  assert.equal(sora.duration, 8);
-
+test("buildAdobeVideoPayload follows discovered fields and reference roles", () => {
   const veo = buildAdobeVideoPayload({
     prompt: "city flyover",
     aspectRatio: "9:16",
@@ -399,12 +371,30 @@ test("buildAdobeVideoPayload produces sora and veo shapes", () => {
   });
   assert.equal(veo.modelId, "veo");
   assert.equal(veo.modelVersion, "3.1-generate");
-  assert.equal(
-    (veo.modelSpecificPayload as Record<string, Record<string, unknown>>).parameters
-      .durationSeconds,
-    6
-  );
+  assert.equal(veo.duration, 6);
   assert.equal(veo.generateAudio, true);
+
+  const kling = buildAdobeVideoPayload({
+    prompt: "ocean waves",
+    aspectRatio: "16:9",
+    duration: 5,
+    modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["kling-3"],
+    sourceImageIds: ["aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee"],
+  });
+  assert.equal(kling.modelVersion, "kling_v3_standard_i2v");
+  assert.deepEqual(kling.referenceBlobs, [
+    { id: "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee", usage: "frame", order: 1 },
+  ]);
+  assert.throws(
+    () =>
+      buildAdobeVideoPayload({
+        prompt: "bad duration",
+        aspectRatio: "16:9",
+        duration: 5,
+        modelSpec: ADOBE_FIREFLY_VIDEO_MODELS["veo-3.1"],
+      }),
+    /supports duration/
+  );
 });
 
 test("extractAdobeResultLink prefers x-override-status-link then links.result", () => {
@@ -539,7 +529,7 @@ test("adobe-firefly is in USAGE_SUPPORTED_PROVIDERS for Limits", () => {
   assert.ok(USAGE_SUPPORTED_PROVIDERS.includes("firefly"));
 });
 
-test("parseAdobeModelsDiscovery extracts image/video versions", () => {
+test("parseAdobeModelsDiscovery preserves schemas and maps exact ids", () => {
   const rows = parseAdobeModelsDiscovery({
     models: [
       {
@@ -550,16 +540,44 @@ test("parseAdobeModelsDiscovery extracts image/video versions", () => {
             outputModality: ["image"],
             modelDisplayName: "Gemini 3.0 (Nano Banana Pro)",
             healthStatus: "HEALTHY",
+            inputMediaUseCase: ["editing"],
+            bksGenerationModel: "firefly_3p:external:gemini_flash_2",
+            requestSchema: {
+              type: "object",
+              properties: {
+                prompt: { type: "string" },
+                referenceBlobs: {
+                  maxItems: 14,
+                  "x-capabilities": [
+                    {
+                      mediaType: "image",
+                      usageConstraints: [{ usageType: "general", minItems: 0, maxItems: 14 }],
+                      maxFileSizeBytes: 104857600,
+                    },
+                  ],
+                },
+              },
+            },
           },
         },
       },
       {
-        modelId: "sora",
+        modelId: "veo",
         modelVersions: {
-          "sora-2": {
+          "3.1-generate": {
             enabled: true,
             outputModality: ["video"],
-            modelDisplayName: "Sora 2",
+            modelDisplayName: "Veo 3.1",
+            requestSchema: {
+              allOf: [
+                {
+                  properties: {
+                    prompt: { type: "string" },
+                    duration: { anyOf: [{ type: "integer", enum: [4, 6, 8] }] },
+                  },
+                },
+              ],
+            },
           },
         },
       },
@@ -569,14 +587,35 @@ test("parseAdobeModelsDiscovery extracts image/video versions", () => {
   assert.equal(rows[0].modality, "image");
   assert.equal(rows[1].modality, "video");
   const catalog = mapDiscoveredToCatalog(rows);
-  assert.ok(catalog.some((m) => m.id === "nano-banana-pro"));
-  assert.ok(catalog.some((m) => m.id === "sora-2"));
+  assert.ok(catalog.some((m) => m.id === "gemini-flash-nano-banana-2"));
+  assert.ok(catalog.some((m) => m.id === "veo-3.1-generate"));
+  assert.equal(catalog[0].capabilities.referenceInputs[0].maxItems, 14);
+  assert.deepEqual(catalog[1].capabilities.supportedDurations, [4, 6, 8]);
 });
 
-test("fallback catalog has image and video entries from get_models capture", () => {
-  assert.ok(ADOBE_FIREFLY_FALLBACK_MODELS.length >= 10);
-  assert.ok(getAdobeFireflyFallbackCatalog("image").length >= 4);
-  assert.ok(getAdobeFireflyFallbackCatalog("video").length >= 4);
+test("fallback catalog is the verified discovery snapshot without invented Sora", () => {
+  assert.equal(ADOBE_FIREFLY_FALLBACK_MODELS.length, 52);
+  assert.equal(getAdobeFireflyFallbackCatalog("image").length, 17);
+  assert.equal(getAdobeFireflyFallbackCatalog("video").length, 35);
+  assert.equal(
+    ADOBE_FIREFLY_FALLBACK_MODELS.some((model) => model.id.includes("sora")),
+    false
+  );
+  assert.equal(
+    ADOBE_FIREFLY_FALLBACK_MODELS.some(
+      (model) => model.id.includes("kling") && model.id.includes("omni")
+    ),
+    false
+  );
+  assert.ok(ADOBE_FIREFLY_FALLBACK_MODELS.some((model) => model.id === "kling-kling-o3"));
+  assert.equal(
+    ADOBE_FIREFLY_IMAGE_MODELS["nano-banana-pro"].capabilities.referenceInputs[0].maxItems,
+    14
+  );
+  assert.equal(
+    ADOBE_FIREFLY_IMAGE_MODELS["gpt-image"].capabilities.referenceInputs[0].maxItems,
+    16
+  );
 });
 
 test("extractAdobeAccountIdFromToken reads user_id claim", () => {
@@ -716,7 +755,7 @@ test("adobeFireflyGenerateVideo submit+poll happy path (mocked)", async () => {
   const result = await adobeFireflyGenerateVideo({
     accessToken: "tok",
     prompt: "drone over forest",
-    model: "sora-2",
+    model: "veo-3.1",
     duration: 4,
     aspectRatio: "16:9",
     fetchImpl: fetchImpl as typeof fetch,
@@ -727,7 +766,7 @@ test("adobeFireflyGenerateVideo submit+poll happy path (mocked)", async () => {
 
 test("handleAdobeFireflyVideoGeneration returns 400 without prompt", async () => {
   const result = await handleAdobeFireflyVideoGeneration({
-    model: "sora-2",
+    model: "veo-3.1",
     provider: "adobe-firefly",
     body: {},
     credentials: { apiKey: "aaa.bbb.ccc" },

tests/unit/oauth-providers-config.test.ts

@@ -44,6 +44,7 @@ const {
   TRAE_CONFIG,
   WINDSURF_CONFIG,
   XAI_OAUTH_CONFIG,
+  OPENFERENCE_CONFIG,
   ZED_HOSTED_CONFIG,
 } = oauthModule;
 const { getAntigravityLoadCodeAssistMetadata } = antigravityHeadersModule;
@@ -72,6 +73,7 @@ const EXPECTED_PROVIDER_KEYS = [
   "devin-cli",
   "grok-cli",
   "xai-oauth",
+  "openference",
   "codebuddy-cn",
   "zed",
   "zed-hosted",
@@ -106,6 +108,7 @@ const EXPECTED_CONFIG_BY_PROVIDER = {
   trae: TRAE_CONFIG,
   "grok-cli": GROK_BUILD_OAUTH_CONFIG,
   "xai-oauth": XAI_OAUTH_CONFIG,
+  openference: OPENFERENCE_CONFIG,
   "codebuddy-cn": CODEBUDDY_CN_CONFIG,
   zed: ZED_CONFIG,
   "zed-hosted": ZED_HOSTED_CONFIG,
@@ -154,6 +157,8 @@ const REQUIRED_FIELDS_BY_PROVIDER = {
   // prettier-ignore
   "xai-oauth": ["authorizeUrl", "tokenUrl", "scope", "codeChallengeMethod", "clientId", "loopbackPort", "callbackPath", "callbackHost"],
   // prettier-ignore
+  openference: ["authorizeUrl", "tokenUrl", "userinfoUrl", "scope", "codeChallengeMethod", "clientId", "loopbackPort", "callbackPath", "callbackHost"],
+  // prettier-ignore
   "grok-cli": ["authorizeUrl", "tokenUrl", "scope", "codeChallengeMethod", "clientId", "loopbackPort", "callbackPath", "callbackHost"],
   // prettier-ignore
   "zed-hosted": ["webBaseUrl", "cloudBaseUrl", "llmBaseUrl", "userInfoUrl", "llmTokenUrl", "modelsUrl"],

tests/unit/openference-apikey-provider-registration.test.ts

@@ -0,0 +1,89 @@
+/**
+ * Coverage for the Openference API key provider (https://openference.com/).
+ *
+ * Validates wiring alongside the OAuth `openference` entry:
+ *   1. APIKEY_PROVIDERS["openference-api"] — catalog entry (id, alias, name, website, hasFree)
+ *   2. providerRegistry["openference-api"] — format=openai / executor=default / apikey / bearer
+ *   3. PROVIDER_MODELS_CONFIG — live /v1/models discovery URL
+ *   4. NAMED_OPENAI_STYLE_PROVIDERS — classified for live-fetch
+ *   5. Seeded registry catalog — non-empty, unique ids
+ */
+import test from "node:test";
+import assert from "node:assert/strict";
+
+const { APIKEY_PROVIDERS } = await import("../../src/shared/constants/providers.ts");
+const { REGISTRY: providerRegistry } = await import("../../open-sse/config/providerRegistry.ts");
+const { NAMED_OPENAI_STYLE_PROVIDERS, isNamedOpenAIStyleProvider } =
+  await import("../../src/app/api/providers/[id]/models/discovery/providerSets.ts");
+const { PROVIDER_MODELS_CONFIG } =
+  await import("../../src/app/api/providers/[id]/models/discovery/providerModelsConfig.ts");
+
+const SPEC = {
+  id: "openference-api",
+  alias: "ofa",
+  name: "Openference API",
+  website: "https://openference.com",
+  chatUrl: "https://api.openference.com/v1/chat/completions",
+  modelsUrl: "https://api.openference.com/v1/models",
+  expectedSeedIds: ["GLM-5.2"],
+};
+
+test("APIKEY_PROVIDERS.openference-api is registered with the canonical identity", () => {
+  const entry = APIKEY_PROVIDERS[SPEC.id];
+  assert.ok(entry, `APIKEY_PROVIDERS.${SPEC.id} must be defined`);
+  assert.equal(entry.id, SPEC.id);
+  assert.equal(entry.alias, SPEC.alias);
+  assert.equal(entry.name, SPEC.name);
+  assert.equal(entry.website, SPEC.website);
+  assert.equal(entry.icon, "openference");
+  assert.equal(typeof entry.textIcon, "string");
+  assert.equal(entry.hasFree, true);
+  assert.equal(typeof entry.freeNote, "string");
+  assert.match(entry.color, /^#[0-9A-Fa-f]{6}$/);
+});
+
+test("providerRegistry exposes the OpenAI-compatible chat completions URL", () => {
+  assert.equal(providerRegistry[SPEC.id].baseUrl, SPEC.chatUrl);
+});
+
+test("PROVIDER_MODELS_CONFIG exposes the live /v1/models discovery URL", () => {
+  const cfg = PROVIDER_MODELS_CONFIG[SPEC.id];
+  assert.ok(cfg, `PROVIDER_MODELS_CONFIG.${SPEC.id} must be defined`);
+  assert.equal(cfg.url, SPEC.modelsUrl);
+  assert.equal(cfg.method, "GET");
+  assert.equal(cfg.authHeader, "Authorization");
+  assert.equal(cfg.authPrefix, "Bearer ");
+  assert.equal(typeof cfg.parseResponse, "function");
+});
+
+test("providerRegistry.openference-api uses OpenAI format with bearer apikey auth", () => {
+  const entry = providerRegistry[SPEC.id];
+  assert.ok(entry, `providerRegistry.${SPEC.id} must be defined`);
+  assert.equal(entry.id, SPEC.id);
+  assert.equal(entry.alias, SPEC.alias);
+  assert.equal(entry.format, "openai");
+  assert.equal(entry.executor, "default");
+  assert.equal(entry.authType, "apikey");
+  assert.equal(entry.authHeader, "bearer");
+  assert.equal(entry.baseUrl, SPEC.chatUrl);
+  assert.equal(entry.passthroughModels, true);
+});
+
+test("openference-api is classified as a named OpenAI-style provider (live-fetch path)", () => {
+  assert.ok(
+    NAMED_OPENAI_STYLE_PROVIDERS.has(SPEC.id),
+    "openference-api must be in NAMED_OPENAI_STYLE_PROVIDERS for live /v1/models fetch"
+  );
+  assert.equal(isNamedOpenAIStyleProvider(SPEC.id), true);
+});
+
+test("openference-api ships a non-empty unique seed catalog", () => {
+  const models = providerRegistry[SPEC.id].models;
+  assert.ok(Array.isArray(models), "registry models must be an array");
+  assert.ok(models.length >= 1, "seed list must be non-empty for the offline fallback");
+  const ids = models.map((m: { id: string }) => m.id);
+  assert.equal(new Set(ids).size, ids.length, "seed model ids must be unique");
+  for (const expected of SPEC.expectedSeedIds) {
+    assert.ok(ids.includes(expected), `seed list must include ${expected}`);
+  }
+});

tests/unit/openference-oauth-provider.test.ts

@@ -0,0 +1,199 @@
+import test from "node:test";
+import assert from "node:assert/strict";
+
+import { generateAuthData } from "../../src/lib/oauth/providers.ts";
+import {
+  openference,
+  decodeOpenferenceIdTokenIdentity,
+} from "../../src/lib/oauth/providers/openference.ts";
+import { OPENFERENCE_CONFIG } from "../../src/lib/oauth/constants/oauth.ts";
+import { getExecutor, hasSpecializedExecutor } from "../../open-sse/executors/index.ts";
+import { openferenceProvider } from "../../open-sse/config/providers/registry/openference/index.ts";
+import { refreshOpenferenceToken } from "../../open-sse/services/tokenRefresh/providers/openference.ts";
+import { OAUTH_TEST_CONFIG } from "../../src/app/api/providers/[id]/test/oauthTestConfig.ts";
+import { testOAuthConnection } from "../../src/app/api/providers/[id]/test/route.ts";
+import { supportsTokenRefresh } from "../../open-sse/services/tokenRefresh.ts";
+import { NAMED_OPENAI_STYLE_PROVIDERS } from "../../src/app/api/providers/[id]/models/discovery/providerSets.ts";
+import { OAUTH_PROVIDERS } from "../../src/shared/constants/providers/oauth.ts";
+import PROVIDERS from "../../src/lib/oauth/providers/index.ts";
+
+const originalFetch = globalThis.fetch;
+
+function createJwt(payload: Record<string, unknown>) {
+  const encode = (value: Record<string, unknown>) =>
+    Buffer.from(JSON.stringify(value)).toString("base64url");
+  return `${encode({ alg: "none" })}.${encode(payload)}.signature`;
+}
+
+test.afterEach(() => {
+  globalThis.fetch = originalFetch;
+});
+
+test("Openference OAuth builds the PKCE authorization request", () => {
+  const authData = generateAuthData("openference", "http://127.0.0.1:56123/callback");
+  const url = new URL(authData.authUrl);
+
+  assert.equal(url.origin, "https://openference.com");
+  assert.equal(url.pathname, "/app/oauth/authorize");
+  assert.equal(url.searchParams.get("client_id"), OPENFERENCE_CONFIG.clientId);
+  assert.equal(url.searchParams.get("scope"), OPENFERENCE_CONFIG.scope);
+  assert.equal(url.searchParams.get("code_challenge_method"), "S256");
+  assert.ok(url.searchParams.get("code_challenge"));
+  assert.equal(authData.fixedPort, 56123);
+  assert.equal(authData.callbackPath, "/callback");
+  assert.equal(authData.callbackHost, "127.0.0.1");
+});
+
+test("Openference OAuth exchanges a code with form-urlencoded PKCE fields", async () => {
+  globalThis.fetch = async (input, init) => {
+    assert.equal(String(input), OPENFERENCE_CONFIG.tokenUrl);
+    assert.equal(init?.method, "POST");
+    assert.equal(init?.headers?.["Content-Type"], "application/x-www-form-urlencoded");
+    const body = init?.body as URLSearchParams;
+    assert.equal(body.get("grant_type"), "authorization_code");
+    assert.equal(body.get("client_id"), OPENFERENCE_CONFIG.clientId);
+    assert.equal(body.get("code"), "auth-code");
+    assert.equal(body.get("redirect_uri"), "http://127.0.0.1:56123/callback");
+    assert.equal(body.get("code_verifier"), "verifier");
+    return Response.json({
+      access_token: "access",
+      refresh_token: "oar_refresh",
+      expires_in: 3600,
+      id_token: createJwt({ email: "user@openference.com", name: "Openference User" }),
+    });
+  };
+
+  const tokens = await openference.exchangeToken(
+    OPENFERENCE_CONFIG,
+    "auth-code",
+    "http://127.0.0.1:56123/callback",
+    "verifier"
+  );
+  assert.equal(tokens.access_token, "access");
+});
+
+test("Openference OAuth maps refreshable tokens and id_token display metadata", () => {
+  const idToken = createJwt({ email: "user@openference.com", name: "Openference User" });
+  assert.deepEqual(decodeOpenferenceIdTokenIdentity(idToken), {
+    email: "user@openference.com",
+    name: "Openference User",
+  });
+
+  const mapped = openference.mapTokens({
+    access_token: "access",
+    refresh_token: "oar_refresh",
+    id_token: idToken,
+    expires_in: 3600,
+    scope: OPENFERENCE_CONFIG.scope,
+  });
+  assert.equal(mapped.accessToken, "access");
+  assert.equal(mapped.refreshToken, "oar_refresh");
+  assert.equal(mapped.email, "user@openference.com");
+  assert.equal(mapped.name, "Openference User");
+});
+
+test("Openference OAuth postExchange fetches userinfo when id_token lacks email", async () => {
+  globalThis.fetch = async (input) => {
+    assert.equal(String(input), OPENFERENCE_CONFIG.userinfoUrl);
+    return Response.json({ email: "from-userinfo@openference.com", name: "Userinfo Name" });
+  };
+
+  const extra = await openference.postExchange({ access_token: "access" });
+  const mapped = openference.mapTokens(
+    { access_token: "access", refresh_token: "oar_refresh", expires_in: 3600 },
+    extra
+  );
+  assert.equal(mapped.email, "from-userinfo@openference.com");
+  assert.equal(mapped.name, "Userinfo Name");
+});
+
+test("Openference is registered as an OAuth gateway with default executor", () => {
+  assert.ok(OAUTH_PROVIDERS.openference);
+  assert.equal(OAUTH_PROVIDERS.openference.alias, "of");
+  assert.equal(OAUTH_PROVIDERS.openference.color, "#6366F1");
+  assert.equal(OAUTH_PROVIDERS.openference.hasFree, true);
+  assert.equal(typeof OAUTH_PROVIDERS.openference.freeNote, "string");
+  assert.ok(PROVIDERS.openference);
+
+  assert.equal(openferenceProvider.authType, "oauth");
+  assert.equal(openferenceProvider.executor, "default");
+  assert.equal(openferenceProvider.baseUrl, "https://api.openference.com/v1/chat/completions");
+  assert.deepEqual(
+    openferenceProvider.models?.map((model) => model.id),
+    ["GLM-5.2"]
+  );
+  assert.equal(hasSpecializedExecutor("openference"), false);
+
+  const headers = getExecutor("openference").buildHeaders({ accessToken: "oauth-access" }, false);
+  assert.equal(headers.Authorization, "Bearer oauth-access");
+});
+
+test("Openference is classified for live OpenAI-style model discovery", () => {
+  assert.ok(NAMED_OPENAI_STYLE_PROVIDERS.has("openference"));
+});
+
+test("OAUTH_TEST_CONFIG covers openference and alias of", () => {
+  assert.ok((OAUTH_TEST_CONFIG as Record<string, unknown>).openference);
+  assert.ok((OAUTH_TEST_CONFIG as Record<string, unknown>).of);
+});
+
+test("Openference Test Connection probes /v1/models instead of reporting unsupported", async () => {
+  let calledUrl = "";
+  globalThis.fetch = async (url) => {
+    calledUrl = String(url);
+    return new Response(JSON.stringify({ data: [{ id: "GLM-5.2" }] }), {
+      status: 200,
+      headers: { "content-type": "application/json" },
+    });
+  };
+
+  const result = await testOAuthConnection({
+    provider: "openference",
+    accessToken: "healthy-access-token",
+    refreshToken: "oar_refresh",
+    tokenExpiresAt: new Date(Date.now() + 3600_000).toISOString(),
+  });
+
+  assert.notEqual(result.diagnosis?.type, "unsupported");
+  assert.notEqual(result.error, "Provider test not supported");
+  assert.equal(result.valid, true);
+  assert.equal(calledUrl, "https://api.openference.com/v1/models");
+});
+
+test("Openference Test Connection treats 402 as authenticated (plan required for inference)", async () => {
+  globalThis.fetch = async () =>
+    new Response(JSON.stringify({ error: "payment_required" }), {
+      status: 402,
+      headers: { "content-type": "application/json" },
+    });
+
+  const result = await testOAuthConnection({
+    provider: "openference",
+    accessToken: "healthy-access-token",
+    refreshToken: "oar_refresh",
+    tokenExpiresAt: new Date(Date.now() + 3600_000).toISOString(),
+  });
+
+  assert.equal(result.valid, true);
+});
+
+test("Openference refresh rotates oar_* tokens", async () => {
+  assert.equal(supportsTokenRefresh("openference"), true);
+
+  globalThis.fetch = async (input, init) => {
+    assert.equal(String(input), OPENFERENCE_CONFIG.tokenUrl);
+    const body = init?.body as URLSearchParams;
+    assert.equal(body.get("grant_type"), "refresh_token");
+    assert.equal(body.get("client_id"), OPENFERENCE_CONFIG.clientId);
+    assert.equal(body.get("refresh_token"), "oar_old");
+    return Response.json({
+      access_token: "new-access",
+      refresh_token: "oar_new",
+      expires_in: 3600,
+    });
+  };
+
+  const refreshed = await refreshOpenferenceToken("oar_old", null, null);
+  assert.equal(refreshed?.accessToken, "new-access");
+  assert.equal(refreshed?.refreshToken, "oar_new");
+});