Files
OmniRoute/open-sse/config/imageRegistry.ts
pageragatz b9cd5ed138 feat(providers): optional AI Horde API key and live image catalog (#10542)
* feat(providers): optional AI Horde API key and live image catalog

Allow a registered Horde key on the no-auth connection and send it for
chat and image jobs. List only image models that currently have workers,
and generate through Horde's native async API.

# Conflicts:
#	open-sse/config/imageRegistry.ts
#	src/app/(dashboard)/dashboard/providers/[id]/ProviderDetailPageClient.tsx
#	src/shared/constants/providers.ts
#	src/sse/services/auth.ts

* fix(providers): validate AI Horde keys against find_user

The OpenAI-compatible /v1/models probe returns 200 for any Bearer token
on oai.aihorde.net, so Check always succeeded. Use Horde's /v2/find_user
lookup instead; an empty key still counts as the optional anonymous path.

* chore(changelog): name the AI Horde fragment for #10542

* fix(images): harden AI Horde optional-key selection and outbound fetches

- Optional-key selection now honors connection health (rate-limit cooldown
  and terminal/unavailable test status) before handing a stored key back,
  rotating to the next healthy key or falling back to the anonymous no-auth
  path instead of using an unhealthy stored key.
- Route the Horde submit/check/status/cancel and catalog calls through the
  repository's bounded outbound-fetch helper (timeout, no more bare fetch())
  and route R2 image downloads through the established bounded remote-image
  fetch (SSRF host guard, DNS-rebinding pin, streaming byte cap, redirect
  limit) instead of an unbounded fetch().
- Extend the generation deadline to cover the full request lifecycle
  (catalog freshness check, submit, polling, and image download), and add a
  regression test proving that exceeding the deadline issues a DELETE
  cancel to Horde's API rather than only timing out locally.

Co-authored-by: diegosouzapw <8016841+diegosouzapw@users.noreply.github.com>

---------

Co-authored-by: pqr <pqr@soraka.ititti.es>
Co-authored-by: diegosouzapw <8016841+diegosouzapw@users.noreply.github.com>
2026-08-18 10:51:57 -03:00

999 lines
34 KiB
TypeScript

/**
* Image Generation Provider Registry
*
* Defines providers that support the /v1/images/generations endpoint.
* Each provider has its own request format and endpoint.
*/
import { LMARENA_DIRECT_IMAGE_MODELS } from "./providers/registry/lmarena/directModels.ts";
import { SEGMIND_IMAGE_PROVIDER } from "./providers/registry/segmind/imageModels.ts";
import { KIE_IMAGE_MODELS } from "./providers/registry/kie/imageModels.ts";
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";
import { AI_HORDE_IMAGE_PROVIDER } from "./providers/registry/aihorde/imageModels.ts";
interface ImageModelEntry {
id: string;
name: string;
inputModalities?: string[];
// See STABILITY_AI_IMAGE_MODELS for why this exists: some models accept "text"
// but mechanically require an image regardless.
imageRequired?: boolean;
description?: string;
isMarket?: boolean;
supportedSizes?: string[];
mediaCapabilities?: Record<string, unknown>;
}
interface ImageProviderConfig {
id: string;
baseUrl: string;
fallbackUrl?: string;
proUrl?: string;
statusUrl?: string;
alias?: string;
authType: string;
authHeader: string;
format: string;
models: ImageModelEntry[];
routingAliases?: readonly string[];
supportedSizes: string[];
}
interface ImageModelAliasEntry {
provider: string;
model: string;
name: string;
listInCatalog: boolean;
inputModalities?: string[];
imageRequired?: boolean;
description?: string;
mediaCapabilities?: Record<string, unknown>;
}
interface ImageCatalogModelEntry {
id: string;
name: string;
provider: string;
supportedSizes: string[];
inputModalities: string[];
description?: string;
mediaCapabilities?: Record<string, unknown>;
}
const IMAGE_MODEL_ALIASES: Record<string, ImageModelAliasEntry> = {
"gemini-3.1-flash-image-preview": {
provider: "antigravity",
model: "gemini-3.1-flash-image",
name: "Gemini 3.1 Flash Image",
listInCatalog: false,
},
"flux-kontext": {
provider: "black-forest-labs",
model: "flux-kontext-pro",
name: "FLUX Kontext Pro",
listInCatalog: true,
inputModalities: ["text", "image"],
},
"flux-kontext-max": {
provider: "black-forest-labs",
model: "flux-kontext-max",
name: "FLUX Kontext Max",
listInCatalog: true,
inputModalities: ["text", "image"],
},
"flux-2-max": {
provider: "black-forest-labs",
model: "flux-2-max",
name: "FLUX.2 Max",
listInCatalog: true,
inputModalities: ["text", "image"],
},
"flux-2-pro": {
provider: "black-forest-labs",
model: "flux-2-pro",
name: "FLUX.2 Pro",
listInCatalog: true,
inputModalities: ["text", "image"],
},
"flux-2-flex": {
provider: "black-forest-labs",
model: "flux-2-flex",
name: "FLUX.2 Flex",
listInCatalog: true,
inputModalities: ["text", "image"],
},
"flux-2-dev": {
provider: "together",
model: "black-forest-labs/FLUX.2-dev",
name: "FLUX.2 Dev",
listInCatalog: true,
inputModalities: ["text", "image"],
},
kontext: {
provider: "black-forest-labs",
model: "flux-kontext-pro",
name: "FLUX Kontext Pro",
listInCatalog: false,
inputModalities: ["text", "image"],
},
"pollinations/kontext": {
provider: "black-forest-labs",
model: "flux-kontext-pro",
name: "FLUX Kontext Pro",
listInCatalog: false,
inputModalities: ["text", "image"],
},
};
function resolveImageModelAlias(modelStr) {
const alias = IMAGE_MODEL_ALIASES[modelStr];
return alias ? { provider: alias.provider, model: alias.model } : null;
}
// A bare alias may only rewrite a provider-prefixed model when it stays on the
// SAME provider (e.g. `antigravity/gemini-3.1-flash-image-preview` →
// antigravity's callable `gemini-3.1-flash-image`). A cross-provider bare alias
// must NOT override an explicit prefix — #9982 removed the unconditional bare
// fallback because `fal-ai/flux-2-max` was being hijacked to black-forest-labs
// by the bare `flux-2-max` alias.
function resolveSameProviderBareAlias(providerId, model) {
const aliased = resolveImageModelAlias(model);
return aliased && aliased.provider === providerId ? aliased : null;
}
function findImageModelConfig(providerId, modelId) {
const provider = IMAGE_PROVIDERS[providerId];
if (!provider) return null;
return provider.models.find((model) => model.id === modelId) || null;
}
// Kept out of getImageModelEntry() (which sits at the complexity-ratchet cap) — an
// alias can override imageRequired directly, else it falls back to its target
// model's own flag. Consumers coerce the result with Boolean(), so no `?? false`.
function resolveAliasImageRequired(alias, modelConfig) {
return alias.imageRequired ?? modelConfig?.imageRequired;
}
export const IMAGE_PROVIDERS: Record<string, ImageProviderConfig> = {
agnes: {
id: "agnes",
baseUrl: "https://apihub.agnes-ai.com/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "agnes-image",
models: [
{
id: "agnes-image-2.1-flash",
name: "Agnes Image 2.1 Flash",
inputModalities: ["text", "image"],
description: "Agnes text-to-image, image-to-image, and multi-image composition model",
},
],
supportedSizes: ["1K", "2K", "3K", "4K"],
},
"qwen-cloud-token-plan": {
id: "qwen-cloud-token-plan",
alias: "qct",
baseUrl:
"https://token-plan.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation",
authType: "apikey",
authHeader: "bearer",
format: "qwen-token-plan-image",
models: [
{
id: "wan2.7-image",
name: "Wan 2.7 Image",
inputModalities: ["text", "image"],
},
{
id: "wan2.7-image-pro",
name: "Wan 2.7 Image Pro",
inputModalities: ["text", "image"],
},
],
// Both models share 1K/2K support. The Pro model also accepts explicit 4K
// dimensions, which callers can still pass through the permissive request schema.
supportedSizes: ["1024x1024", "2048x2048"],
},
openai: {
id: "openai",
baseUrl: "https://api.openai.com/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai", // native OpenAI format
models: [
{ id: "gpt-image-2", name: "GPT Image 2" },
{ id: "gpt-image-1.5", name: "GPT Image 1.5" },
{ id: "gpt-image-1-mini", name: "GPT Image 1 Mini" },
],
supportedSizes: ["1024x1024", "1024x1792", "1792x1024"],
},
// Codex exposes image generation only as a Responses-API hosted tool under
// ChatGPT OAuth. Incoming GPT-Image-style `/v1/images/generations` requests are
// translated to /responses calls with `tools: [{ type: "image_generation" }]`
// by handleCodexImageGeneration.
codex: {
id: "codex",
alias: "cx",
baseUrl: "https://chatgpt.com/backend-api/codex/responses",
authType: "oauth",
authHeader: "bearer",
format: "codex-responses",
models: [
{ id: "gpt-5.6-sol", name: "GPT 5.6 Sol (Codex Image)" },
{ id: "gpt-5.6-terra", name: "GPT 5.6 Terra (Codex Image)" },
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna (Codex Image)" },
],
supportedSizes: ["1024x1024", "1024x1536", "1536x1024"],
},
"chatgpt-web": {
id: "chatgpt-web",
alias: "cgpt-web",
baseUrl: "https://chatgpt.com/backend-api/f/conversation",
authType: "apikey",
authHeader: "cookie",
format: "chatgpt-web",
models: [{ id: "gpt-5.5", name: "GPT-5.5 Instant (ChatGPT Web Image)" }],
supportedSizes: ["1024x1024", "1024x1536", "1536x1024"],
},
"microsoft-designer-web": {
id: "microsoft-designer-web",
alias: "msdesigner",
baseUrl:
"https://designerapp.officeapps.live.com/designerapp/DallE.ashx?action=GetDallEImagesCogSci",
authType: "apikey",
authHeader: "bearer",
format: "designer-web",
models: [{ id: "dall-e-3", name: "DALL-E 3 (Microsoft Designer Web)" }],
supportedSizes: ["1024x1024", "1792x1024", "1024x1792"],
},
xai: {
id: "xai",
baseUrl: "https://api.x.ai/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "grok-imagine-image-quality", name: "Grok Imagine Image Quality" },
{ id: "grok-imagine-image", name: "Grok Imagine Image" },
],
supportedSizes: ["1024x1024", "2048x2048"],
},
"vercel-ai-gateway": {
id: "vercel-ai-gateway",
alias: "vag",
baseUrl: "https://ai-gateway.vercel.sh/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "gpt-image-1", name: "GPT Image 1" },
{ id: "black-forest-labs/flux-1.1-pro", name: "FLUX 1.1 Pro" },
],
supportedSizes: ["1024x1024", "1024x1792", "1792x1024"],
},
together: {
id: "together",
baseUrl: "https://api.together.xyz/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{
id: "black-forest-labs/FLUX.2-max",
name: "FLUX.2 Max",
inputModalities: ["text", "image"],
},
{
id: "black-forest-labs/FLUX.2-pro",
name: "FLUX.2 Pro",
inputModalities: ["text", "image"],
},
{
id: "black-forest-labs/FLUX.2-flex",
name: "FLUX.2 Flex",
inputModalities: ["text", "image"],
},
{
id: "black-forest-labs/FLUX.2-dev",
name: "FLUX.2 Dev",
inputModalities: ["text", "image"],
},
{ id: "openai/gpt-image-1.5", name: "GPT Image 1.5", inputModalities: ["text", "image"] },
{ id: "Wan-AI/Wan2.6-image", name: "Wan 2.6 Image", inputModalities: ["text", "image"] },
{
id: "Qwen/Qwen-Image-2.0-Pro",
name: "Qwen Image 2.0 Pro",
inputModalities: ["text", "image"],
},
{ id: "Qwen/Qwen-Image-2.0", name: "Qwen Image 2.0", inputModalities: ["text", "image"] },
{ id: "google/flash-image-3.1", name: "NanoBanana 2", inputModalities: ["text", "image"] },
{
id: "google/gemini-3-pro-image",
name: "NanoBanana Pro",
inputModalities: ["text", "image"],
},
],
supportedSizes: ["1024x1024", "512x512"],
},
fireworks: {
id: "fireworks",
baseUrl: "https://api.fireworks.ai/inference/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "accounts/fireworks/flux-kontext-max", name: "FLUX Kontext Max" },
{ id: "accounts/fireworks/flux-kontext-pro", name: "FLUX Kontext Pro" },
{ id: "accounts/fireworks/flux-1-schnell-fp8", name: "FLUX.1 schnell" },
{ id: "accounts/fireworks/models/flux-1-dev-fp8", name: "FLUX 1 Dev FP8" },
{ id: "accounts/fireworks/models/stable-diffusion-xl-1024-v1-0", name: "SDXL 1024 v1.0" },
],
supportedSizes: ["1024x1024", "512x512"],
},
antigravity: {
id: "antigravity",
baseUrl: "https://daily-cloudcode-pa.googleapis.com/v1internal:generateContent",
authType: "oauth",
authHeader: "bearer",
format: "gemini-image", // Special format: uses Gemini generateContent API
models: [{ id: "gemini-3.1-flash-image", name: "Gemini 3.1 Flash Image" }],
supportedSizes: ["1024x1024"],
},
// Google AI Studio Imagen family — dedicated :predict endpoint, not generateContent.
// See providers/registry/gemini/imageModels.ts for the full rationale.
gemini: GEMINI_IMAGEN_PROVIDER,
//Curruntly no models serving
nebius: {
id: "nebius",
baseUrl: "https://api.tokenfactory.nebius.com/v1/images/generations",
fallbackUrl: "https://api.studio.nebius.com/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [{ id: "black-forest-labs/flux-schnell", name: "No Model yet" }],
supportedSizes: ["1024x1024"],
},
hyperbolic: {
id: "hyperbolic",
baseUrl: "https://api.hyperbolic.xyz/v1/image/generation",
authType: "apikey",
authHeader: "bearer",
format: "hyperbolic", // custom: uses model_name, returns base64 images
models: [{ id: "SDXL1.0-base", name: "No Model yet" }],
supportedSizes: ["1024x1024"],
},
//Curruntly no models serving
nanobanana: {
id: "nanobanana",
baseUrl: "https://api.nanobananaapi.ai/api/v1/nanobanana/generate",
proUrl: "https://api.nanobananaapi.ai/api/v1/nanobanana/generate-pro",
statusUrl: "https://api.nanobananaapi.ai/api/v1/nanobanana/record-info",
authType: "apikey",
authHeader: "bearer",
format: "nanobanana", // custom format (async: submit task, then poll)
models: [
{ id: "nanobanana-flash", name: "NanoBanana Flash (Gemini 2.5 Flash)" },
{ id: "nanobanana-pro", name: "NanoBanana Pro (Gemini 3 Pro)" },
],
supportedSizes: ["1024x1024", "1024x1280", "1024x1536", "1536x1024", "1280x1024"],
},
kie: {
id: "kie",
baseUrl: "https://api.kie.ai",
statusUrl: "https://api.kie.ai/api/v1/jobs/recordInfo",
authType: "apikey",
authHeader: "bearer",
format: "kie-image",
models: KIE_IMAGE_MODELS,
supportedSizes: ["1:1", "16:9", "9:16", "4:3", "3:4"],
},
haiper: {
id: "haiper",
baseUrl: "https://api.haiper.ai/v1/jobs/gen2/text2image",
statusUrl: "https://api.haiper.ai/v1/jobs",
authType: "apikey",
authHeader: "HAIPER_KEY",
format: "haiper-image",
models: [{ id: "gen2", name: "Gen 2 Image" }],
supportedSizes: ["16:9", "9:16", "1:1", "4:3", "3:4"],
},
// #2482: MiniMax already has entries in musicRegistry/audioRegistry/videoRegistry,
// but was missing an image provider entirely, so MiniMax image-model requests
// fell through the format dispatch below to a 400/unmatched-format response.
minimax: {
id: "minimax",
baseUrl: "https://api.minimax.io/v1/image_generation",
authType: "apikey",
authHeader: "bearer",
format: "minimax-image",
models: [
{ id: "image-01", name: "MiniMax Image-01" },
{ id: "image-01-live", name: "MiniMax Image-01 Live" },
],
supportedSizes: ["1:1", "16:9", "9:16", "4:3", "3:4", "3:2", "2:3", "1024x1024"],
},
leonardo: {
id: "leonardo",
baseUrl: "https://cloud.leonardo.ai/api/rest/v1/generations",
authType: "apikey",
authHeader: "bearer",
format: "leonardo-image",
models: [
{ id: "phoenix", name: "Phoenix" },
{ id: "sdxl", name: "SDXL" },
],
supportedSizes: ["1024x1024", "1024x576", "576x1024"],
},
ideogram: {
id: "ideogram",
baseUrl: "https://api.ideogram.ai/generate",
authType: "apikey",
authHeader: "Api-Key",
format: "ideogram-image",
models: [
{ id: "V_3", name: "Ideogram V3" },
{ id: "V_2A", name: "Ideogram V2A" },
],
supportedSizes: ["1024x1024", "1024x1792", "1792x1024"],
},
freepik: FREEPIK_IMAGE_PROVIDER,
sdwebui: {
id: "sdwebui",
baseUrl: "http://localhost:7860/sdapi/v1/txt2img",
authType: "none",
authHeader: "none",
format: "sdwebui",
models: [
{ id: "stable-diffusion-v1-5", name: "Stable Diffusion v1.5" },
{ id: "sdxl-base-1.0", name: "SDXL Base 1.0" },
],
supportedSizes: ["512x512", "768x768", "1024x1024"],
},
comfyui: {
id: "comfyui",
baseUrl: "http://localhost:8188",
authType: "none",
authHeader: "none",
format: "comfyui",
models: [
{ id: "flux-dev", name: "FLUX Dev" },
{ id: "sdxl", name: "SDXL" },
],
supportedSizes: ["512x512", "768x768", "1024x1024"],
},
openrouter: {
id: "openrouter",
baseUrl: "https://openrouter.ai/api/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "openai/gpt-5.4-image-2", name: "GPT Image 2 (via OpenRouter)" },
{ id: "openai/gpt-5-image-mini", name: "GPT Image 1 Mini (via OpenRouter)" },
{ id: "google/gemini-3.1-flash-image-preview", name: "Nano Banana 2 (via OpenRouter)" },
{ id: "google/gemini-3-pro-image-preview", name: "Nano Banana Pro (via OpenRouter)" },
{ id: "black-forest-labs/flux.2-max", name: "FLUX.2 Max (via OpenRouter)" },
{ id: "black-forest-labs/flux.2-pro", name: "FLUX.2 Pro (via OpenRouter)" },
{ id: "black-forest-labs/flux.2-flex", name: "FLUX.2 Flex (via OpenRouter)" },
],
supportedSizes: ["1024x1024", "1024x1792", "1792x1024"],
},
pollinations: {
id: "pollinations",
alias: "pol",
baseUrl: "https://gen.pollinations.ai/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "klein", name: "FLUX.2 Klein 4B" },
{ id: "flux", name: "Flux Schnell" },
{ id: "zimage", name: "Z-Image Turbo" },
{ id: "qwen-image", name: "Qwen Image Plus" },
{ id: "wan-image", name: "Wan 2.7 Image" },
{ id: "gpt-image-2", name: "GPT Image 2" },
{ id: "gptimage-large", name: "GPT Image 1.5" },
{ id: "gptimage", name: "GPT Image 1 Mini" },
],
supportedSizes: ["1024x1024", "512x512"],
},
"fal-ai": {
id: "fal-ai",
baseUrl: "https://fal.run",
authType: "apikey",
authHeader: "key",
format: "fal-ai",
models: [
{ id: "flux-2-max", name: "FLUX.2 Max" },
{ id: "flux-2-pro", name: "FLUX.2 Pro" },
{ id: "flux-2-flex", name: "FLUX.2 Flex" },
{ id: "bria/text-to-image/3.2", name: "Bria 3.2" },
{ id: "bytedance/seedream/v4.5/text-to-image", name: "SeeDream V4.5" },
{ id: "bytedance/dreamina/v3.1/text-to-image", name: "Dreamina V3.1" },
{ id: "ideogram/v3", name: "Ideogram V3" },
// Prefix-only on purpose: adobe-firefly owns the bare nano-banana ids
// (operator decision 2026-07-31, pinned by cheaperinference-image-models
// guard). The dispatch path tolerates the fal-ai/ prefix (fal.ts).
{ id: "fal-ai/nano-banana-pro", name: "Nano Banana Pro" },
{ id: "fal-ai/nano-banana-2", name: "Nano Banana 2" },
{ id: "recraft/v4/pro/text-to-image", name: "Recraft V4 Pro via Fal" },
{ id: "recraft/v4/text-to-image", name: "Recraft V4 via Fal" },
{ id: "stable-diffusion-v35-medium", name: "Stable Diffusion v3.5 Medium" },
],
supportedSizes: ["1024x1024", "1024x1280", "1280x1024"],
},
"stability-ai": {
id: "stability-ai",
baseUrl: "https://api.stability.ai",
authType: "apikey",
authHeader: "bearer",
format: "stability-ai",
models: STABILITY_AI_IMAGE_MODELS,
supportedSizes: ["1024x1024", "1024x1280", "1280x1024"],
},
"black-forest-labs": {
id: "black-forest-labs",
baseUrl: "https://api.bfl.ai",
authType: "apikey",
authHeader: "x-key",
format: "black-forest-labs",
models: [
{ id: "flux-2-max", name: "FLUX.2 Max" },
{ id: "flux-2-pro", name: "FLUX.2 Pro" },
{ id: "flux-2-flex", name: "FLUX.2 Flex" },
{ id: "flux-pro-1.1-ultra", name: "flux-pro-1.1-ultra" },
{ id: "flux-pro-1.1", name: "flux-pro-1.1" },
{ id: "flux-2-klein-9b", name: "flux 2 Klein 9B" },
{ id: "flux-2-klein-4b", name: "flux 2 Klein 4B" },
{ id: "flux-kontext-max", name: "flux-kontext-max", inputModalities: ["text", "image"] },
{ id: "flux-kontext-pro", name: "flux-kontext-pro", inputModalities: ["text", "image"] },
{ id: "flux-dev", name: "flux-dev" },
{ id: "flux-pro", name: "flux-pro" },
],
supportedSizes: ["1024x1024", "1024x1280", "1280x1024"],
},
recraft: {
id: "recraft",
baseUrl: "https://external.api.recraft.ai",
authType: "apikey",
authHeader: "bearer",
format: "recraft",
models: [
{ id: "recraftv4_pro", name: "Recraft V4 Pro" },
{ id: "recraftv4", name: "Recraft V4" },
{ id: "recraftv3", name: "Recraft V3" },
{ id: "recraftv2", name: "Recraft V2" },
],
supportedSizes: ["1024x1024", "1024x1280", "1280x1024"],
},
topaz: {
id: "topaz",
baseUrl: "https://api.topazlabs.com",
authType: "apikey",
authHeader: "x-api-key",
format: "topaz",
models: [{ id: "topaz-enhance", name: "topaz-enhance", inputModalities: ["image"] }],
supportedSizes: ["1024x1024"],
},
// Segmind (#6656): 200+ models, `POST /v1/{model}`, x-api-key, raw image bytes.
segmind: SEGMIND_IMAGE_PROVIDER,
nanogpt: {
id: "nanogpt",
baseUrl: "https://nano-gpt.com/api/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [
{ id: "qwen-image", name: "Qwen Image", inputModalities: ["text", "image"] },
{ id: "z-image-turbo", name: "Z Image Turbo" },
{ id: "chroma", name: "Chroma" },
{ id: "hidream", name: "Hidream I1 Full" },
],
supportedSizes: ["1024x1024", "1024x1280", "1280x1024"],
},
// NVIDIA NIM image generation (FLUX models). Distinct from the NVIDIA *chat* entry
// (open-sse/config/providers/registry/nvidia/index.ts, host integrate.api.nvidia.com,
// OpenAI-compatible) — image generation lives on ai.api.nvidia.com/v1/genai/<model>
// with a native NIM body per model, so it gets a dedicated `nvidia-nim` format/handler
// (handleNvidiaNimImageGeneration) rather than reusing the OpenAI image path.
// Ported from upstream 9router#1195.
nvidia: {
id: "nvidia",
baseUrl: "https://ai.api.nvidia.com/v1/genai",
authType: "apikey",
authHeader: "bearer",
format: "nvidia-nim",
models: [
{
id: "black-forest-labs/flux.1-dev",
name: "FLUX.1 Dev",
inputModalities: ["text", "image"],
},
{ id: "black-forest-labs/flux.1-schnell", name: "FLUX.1 Schnell" },
{
id: "black-forest-labs/flux.1-kontext-dev",
name: "FLUX.1 Kontext Dev (Edit)",
inputModalities: ["text", "image"],
},
{
id: "black-forest-labs/flux.2-klein-4b",
name: "FLUX.2 Klein 4B",
inputModalities: ["text", "image"],
},
],
supportedSizes: ["1024x1024", "768x1344", "512x512"],
},
// SenseNova (商汤日日新) Text-to-Image on the free Token Plan. OpenAI-compatible
// `/v1/images/generations`, so the generic OpenAI image handler routes it — same
// SenseNova api-key/connection as the chat provider. (9router#2233)
sensenova: {
id: "sensenova",
baseUrl: "https://api.sensenova.cn/v1/images/generations",
authType: "apikey",
authHeader: "bearer",
format: "openai",
models: [{ id: "sensenova-u1-fast", name: "SenseNova U1 Fast" }],
supportedSizes: ["1024x1024"],
},
// HuggingFace Hub Inference API text-to-image task. Returns raw image bytes
// (not JSON), so it uses a dedicated "huggingface-image" format handled by
// handleHuggingFaceImageGeneration. Same base URL convention as the HF
// STT/TTS entries in audioRegistry.ts. Model list is deliberately small —
// the dashboard's "suggested models" chip row (GET
// /api/v1/providers/suggested-models) surfaces additional HF Hub models
// beyond this seed list.
huggingface: {
id: "huggingface",
// HF retired api-inference.huggingface.co; text-to-image now routes through
// router.huggingface.co with the hf-inference provider pinned in the path.
baseUrl: "https://router.huggingface.co/hf-inference/models",
authType: "apikey",
authHeader: "bearer",
format: "huggingface-image",
models: [
{ id: "black-forest-labs/FLUX.1-dev", name: "FLUX.1 Dev (HF)" },
{ id: "black-forest-labs/FLUX.1-schnell", name: "FLUX.1 Schnell (HF)" },
{ id: "stabilityai/stable-diffusion-xl-base-1.0", name: "Stable Diffusion XL (HF)" },
],
supportedSizes: ["1024x1024"],
},
// Arena (formerly LMArena) Direct-chat Image category (static scrape 2026-07-09).
// Not listed in the chat registry — image catalog only. Generation path still
// uses cookie session auth via the lmarena provider connection (stable wire id).
lmarena: {
id: "lmarena",
alias: "lma",
baseUrl: "https://arena.ai/nextjs-api/stream/create-evaluation",
authType: "apikey",
authHeader: "cookie",
format: "openai",
models: LMARENA_DIRECT_IMAGE_MODELS,
supportedSizes: ["1024x1024", "1024x1792", "1792x1024"],
},
// Adobe Firefly (unofficial) — IMS access_token (clio-playground-web) or browser
// Cookie from firefly.adobe.com. Async 3P image generate + poll.
// Model list = static fallback from models/discovery capture; live discovery
// refreshes via resolveAdobeFireflyCatalog when credentials work.
"adobe-firefly": {
id: "adobe-firefly",
alias: "firefly",
baseUrl: "https://firefly-3p.ff.adobe.io/v2/3p-images/generate-async",
authType: "apikey",
authHeader: "bearer",
format: "adobe-firefly-image",
models: toRegistryImageModels(),
routingAliases: ADOBE_FIREFLY_IMAGE_ROUTING_ALIASES,
supportedSizes: [],
},
// Cheaper Inference (OSS-sponsor gateway). Declared AFTER adobe-firefly on
// purpose: it shares the nano-banana-pro / nano-banana-2 ids, and parseImageModel
// resolves a bare id by first-match over this object's iteration order, so
// Firefly keeps the bare ids and these are prefix-only. See the module for the
// full collision note.
cheaperinference: CHEAPERINFERENCE_IMAGE_PROVIDER,
// Keep Bailian Coding Plan after existing duplicate model owners so adding
// explicit `bailian-coding-plan/` and `bcp/` routes does not change
// historical bare-model routing.
"bailian-coding-plan": {
id: "bailian-coding-plan",
alias: "bcp",
baseUrl:
"https://coding-intl.dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation",
authType: "apikey",
authHeader: "bearer",
format: "bailian-coding-plan-image",
models: [
{
id: "wan2.7-image",
name: "Wan 2.7 Image",
inputModalities: ["text", "image"],
},
{
id: "wan2.7-image-pro",
name: "Wan 2.7 Image Pro",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0",
name: "Qwen Image 2.0",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0-pro",
name: "Qwen Image 2.0 Pro",
inputModalities: ["text", "image"],
},
],
supportedSizes: ["1024x1024", "2048x2048"],
},
// Keep Alibaba after existing duplicate model owners so adding explicit
// `alibaba/` and `ali/` routes does not change historical bare-model routing.
alibaba: {
id: "alibaba",
alias: "ali",
baseUrl:
"https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation",
authType: "apikey",
authHeader: "bearer",
format: "alibaba-image",
models: [
{
id: "qwen-image-3.0-pro",
name: "Qwen Image 3.0 Pro",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0-pro-2026-06-22",
name: "Qwen Image 2.0 Pro (2026-06-22)",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0",
name: "Qwen Image 2.0",
inputModalities: ["text", "image"],
},
{ id: "z-image-turbo", name: "Z-Image Turbo" },
{ id: "wan2.6-t2i", name: "Wan 2.6 T2I" },
],
supportedSizes: ["1024x1024", "1280x1280", "2048x2048"],
},
// Keep regular Qwen Cloud isolated from Alibaba, Bailian Coding Plan, and
// Qwen Cloud Token Plan. Explicit `qwen-cloud/` or `qwc/` routes use only
// the regular Qwen Cloud connection and its regional DashScope endpoint.
"qwen-cloud": {
id: "qwen-cloud",
alias: "qwc",
baseUrl:
"https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation",
authType: "apikey",
authHeader: "bearer",
format: "qwen-cloud-image",
models: [
{
id: "wan2.7-image-pro",
name: "Wan 2.7 Image Pro",
inputModalities: ["text", "image"],
},
{
id: "wan2.7-image",
name: "Wan 2.7 Image",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-3.0-pro",
name: "Qwen Image 3.0 Pro",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0-pro-2026-06-22",
name: "Qwen Image 2.0 Pro (2026-06-22)",
inputModalities: ["text", "image"],
},
{
id: "qwen-image-2.0-2026-03-03",
name: "Qwen Image 2.0 (2026-03-03)",
inputModalities: ["text", "image"],
},
{ id: "z-image-turbo", name: "Z-Image Turbo" },
],
// 1K/2K are shared by the whole catalog. Wan 2.7 Image Pro callers can
// still pass supported 4K dimensions through the permissive request schema.
supportedSizes: ["1024x1024", "2048x2048"],
},
aihorde: AI_HORDE_IMAGE_PROVIDER,
};
/**
* Get image provider config by ID
*/
export function getImageProvider(providerId) {
return IMAGE_PROVIDERS[providerId] || null;
}
/**
* Parse image model string (format: "provider/model")
* Returns { provider, model }
*/
export function parseImageModel(modelStr) {
if (!modelStr) return { provider: null, model: null };
const directAlias = resolveImageModelAlias(modelStr);
if (directAlias) {
return directAlias;
}
// Try each provider prefix
for (const [providerId, config] of Object.entries(IMAGE_PROVIDERS)) {
if (modelStr.startsWith(providerId + "/")) {
const model = modelStr.slice(providerId.length + 1);
const aliased =
resolveImageModelAlias(`${providerId}/${model}`) ||
resolveSameProviderBareAlias(providerId, model);
return aliased || { provider: providerId, model };
}
// Check alias if available
if (config.alias && modelStr.startsWith(config.alias + "/")) {
const model = modelStr.slice(config.alias.length + 1);
const aliased =
resolveImageModelAlias(`${providerId}/${model}`) ||
resolveSameProviderBareAlias(providerId, model);
return aliased || { provider: providerId, model };
}
}
// No provider prefix — try to find the model in every provider
for (const [providerId, config] of Object.entries(IMAGE_PROVIDERS)) {
if (config.routingAliases?.includes(modelStr) || config.models.some((m) => m.id === modelStr)) {
return { provider: providerId, model: modelStr };
}
}
return { provider: null, model: modelStr };
}
/**
* Get all image models as a flat list
*/
function imageProviderCatalogEntries(
providerId: string,
config: ImageProviderConfig
): ImageCatalogModelEntry[] {
return config.models.map((model) => ({
id: `${providerId}/${model.id}`,
name: model.name,
provider: providerId,
supportedSizes: model.supportedSizes || config.supportedSizes,
inputModalities: model.inputModalities || ["text"],
description: model.description || undefined,
mediaCapabilities: model.mediaCapabilities,
}));
}
function imageAliasCatalogEntry(
alias: string,
target: ImageModelAliasEntry
): ImageCatalogModelEntry | null {
if (!target.listInCatalog) return null;
const providerConfig = IMAGE_PROVIDERS[target.provider];
const modelConfig = findImageModelConfig(target.provider, target.model);
return {
id: alias,
name: target.name || modelConfig?.name || alias,
provider: target.provider,
supportedSizes: providerConfig?.supportedSizes || [],
inputModalities: target.inputModalities || modelConfig?.inputModalities || ["text"],
description: target.description || modelConfig?.description || undefined,
};
}
export function getAllImageModels(): ImageCatalogModelEntry[] {
const providerModels = Object.entries(IMAGE_PROVIDERS).flatMap(([providerId, config]) =>
imageProviderCatalogEntries(providerId, config)
);
const aliasModels = Object.entries(IMAGE_MODEL_ALIASES).flatMap(([alias, target]) => {
const entry = imageAliasCatalogEntry(alias, target);
return entry ? [entry] : [];
});
return [...providerModels, ...aliasModels];
}
export function getImageModelAliases() {
return IMAGE_MODEL_ALIASES;
}
/**
* #6457 — precise provider+modelId membership check against the image registry.
* Unlike getImageModelEntry() (which also resolves bare aliases and unprefixed
* ids by scanning every provider), this only answers "is `modelId` registered
* as an image model under this exact `providerId`?" — used by the chat catalog
* builder to keep upstream-discovered models (e.g. HuggingFace's live
* `/v1/models`, which returns image/diffusion models with no modality field)
* out of the chat listing when they are already known image-only models.
*/
export function isRegisteredImageModel(providerId, modelId) {
return Boolean(findImageModelConfig(providerId, modelId));
}
export function getImageModelEntry(modelStr) {
if (!modelStr) return null;
const alias = IMAGE_MODEL_ALIASES[modelStr];
if (alias) {
const modelConfig = findImageModelConfig(alias.provider, alias.model);
return {
provider: alias.provider,
model: alias.model,
inputModalities: alias.inputModalities || modelConfig?.inputModalities || ["text"],
imageRequired: resolveAliasImageRequired(alias, modelConfig),
description: alias.description || modelConfig?.description || undefined,
};
}
const { provider, model } = parseImageModel(modelStr);
if (!provider || !model) return null;
const modelConfig = findImageModelConfig(provider, model);
if (!modelConfig) return null;
return {
provider,
model,
inputModalities: modelConfig.inputModalities || ["text"],
imageRequired: modelConfig.imageRequired,
description: modelConfig.description || undefined,
};
}
/**
* An image input is only MANDATORY for edit-only models — those whose modalities
* are `["image"]` with no `"text"`. Models listing both `["text", "image"]` accept
* an image but can also run pure text-to-image, so they must NOT be gated on an
* image input (that gate previously blocked 41 dual-modality t2i models).
*/
export function modalitiesRequireImageInput(inputModalities) {
const list = Array.isArray(inputModalities) ? inputModalities : ["text"];
return list.includes("image") && !list.includes("text");
}