Hypereal API Referansı
Tek bir ck_ön ekli API anahtarı. OpenAI uyumlu REST. Claude Code, Codex CLI, Cursor, OpenAI SDK, Anthropic SDK'ya bırakın veya doğrudan curl ile çağırın. Sohbet, resimler, video, ses, kod ajanları — hepsi tek bir temel URL'nin arkasında.
Enterprise API uses a separate managed API surface.
This page documents the standard API paths. For managed Enterprise API models, capacity controls, and insurance, use the Enterprise overview and Enterprise API docs.
01 · 90 saniyede başlayın
Hızlı Başlangıç
Bir anahtar oluşturun, istemcinizi hypereal.cloud'e yönlendirin ve gönderin. Kimlik doğrulama ve istek yapıları OpenAI uyumludur — çoğu SDK, yalnızca temel URL'yi değiştirerek çalışır.
En az 2 $ (200 kredi) yükleyin ve şu adresten bir anahtar oluşturun: /manage-api-keys. Anahtarlar şununla başlar: ck_.
Temel URL: https://hypereal.cloud/api/v1
Kimlik doğrulama başlığı şudur: Authorization: Bearer ck_.... Zaten bildiğiniz OpenAI istek gövdeleriyle aynı.
curl https://hypereal.cloud/api/v1/chat/completions \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Say hi in one word."}]
}'import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.HYPEREAL_API_KEY, // ck_...
baseURL: 'https://hypereal.cloud/api/v1',
});
const completion = await client.chat.completions.create({
model: 'gpt-5.5',
messages: [{ role: 'user', content: 'Say hi in one word.' }],
});
console.log(completion.choices[0].message.content);For coding agents, start withclaude-sonnet-4-6and use Claude Code or another Anthropic-compatible client that sendscache_control. Hypereal supportscache_controlcaching and Hypereal Cache. Hypereal Cache is on by default and can sharply reduce token consumption for repeated coding-agent context. You can sethypereal.cacheto"auto"explicitly, or omit it for the same default.
SDK
Hypereal SDK
Install hypereal-sdk for typed access to chat, responses, image generation, video generation, audio, jobs and storage from Node.js 18+.
Published as hypereal-sdk on npm.
Use client.images.generate(), chat, responses, jobs and storage.
See the full SDK overview at /sdk.
pnpm add hypereal-sdk
import { Hypereal } from 'hypereal-sdk';
const client = new Hypereal({
apiKey: process.env.HYPEREAL_API_KEY!,
});
const image = await client.images.generate({
model: 'gemini-3-1-flash-t2i',
prompt: 'A cinematic portrait in neon light',
aspect_ratio: '16:9',
});
console.log(image);const object = await client.storage.uploadFile(file, {
filename: 'training-image.png',
contentType: 'image/png',
kind: 'dataset',
});
const listed = await client.storage.list({ kind: 'dataset' });02
Kimlik Doğrulama
Her istek ck_-ön ekli bir anahtar gerektirir. Üç kabul edilen başlık biçimi tüm SDK'ları kapsar.
Bearer ck_... — OpenAI SDK, Codex CLI ve Cursor tarafından kullanılır.ck_... — Anthropic SDK ve Claude Code tarafından şurada kullanılır: /v1/messages.ck_... — Google Gemini SDK / yerel biçim, şunlar tarafından kabul edilir: /v1/gemini.?key=ck_... de çalışır.03 · OpenAI uyumlu
Sohbet Tamamlamaları
En çok kullanılan uç nokta. OpenAI Sohbet Tamamlamaları bağlantı formatı. GPT, Gemini, Qwen, DeepSeek, GLM ve diğer tüm Anthropic dışı LLM'ler için kullanılır.
/api/v1/chat/completionsİstek gövdesi
/v1/messages kullanın.role, content).false. SSE akışı ne zaman true; kullanım son parçaya dahil edilir.Fiyatlandırma
Her modelin giriş/çıkış oranına göre token başına faturalandırılır. 100 kredi = 1,00 $. Uç noktayı çağırmak için minimum bakiye 200 kredi (2,00 $) olmalıdır.
curl https://hypereal.cloud/api/v1/chat/completions \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.5",
"messages": [
{"role": "system", "content": "You are a terse assistant."},
{"role": "user", "content": "Two-line haiku about caches."}
],
"stream": true,
"max_tokens": 256
}'import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.HYPEREAL_API_KEY,
baseURL: 'https://hypereal.cloud/api/v1',
});
const stream = await client.chat.completions.create({
model: 'gpt-5.5',
stream: true,
messages: [{ role: 'user', content: 'Stream me a haiku.' }],
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}OpenAI ve sağlayıcı uyumlu modeller
gpt-5.5gpt-5.5-instantgpt-5.5-progpt-5.4gpt-5.4-minideepseek-v4-prodeepseek-v4-flashdeepseek-v3.2kimi-k2.6kimi-k2.5glm-5.1glm-5qwen3-maxqwen3.5-plusqwen3.5-flashMiniMax-M2.504 · Anthropic uyumlu
Mesajlar
Genişletilmiş düşünme, çoklu yukarı akış yük devretme ve 15 saniyelik SSE canlı tutma özelliklerine sahip Anthropic /v1/messages bağlantı formatı. Claude Code, OpenCode, OpenClaw ve resmi Anthropic SDK için bunu kullanın.
/api/v1/messagesİstek gövdesi
claude-sonnet-4-6, claude-opus-4-6, veya claude-haiku-4-5. Eski Anthropic kimlikleri (claude-sonnet-4-5-20250929, claude-3-5-sonnet-20241022, claude-3-5-haiku-20241022) otomatik olarak en son eşdeğerlerine takma adlanır.system,tools, or text content blocks for Anthropic prompt caching. Hypereal defaults a cache breakpoint when omitted and reports cache usage in response metadata."auto" to make the default explicit for repeated requests, orfalse to bypass it for a request.budget_tokens akıl yürütme izini sınırlar. Uç nokta, uzun düşünme akışlarını kapatmasını engellemek için proxy'lere 15 saniyelik SSE pingleri gönderir.curl https://api.hypereal.cloud/v1/messages \
-H "x-api-key: ck_..." \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-sonnet-4-6",
"max_tokens": 1024,
"system": [{
"type": "text",
"text": "You are a senior TypeScript refactoring assistant.",
"cache_control": {"type": "ephemeral"}
}],
"messages": [
{"role": "user", "content": "Plan a 3-step refactor of a Next.js app."}
],
"hypereal": {"cache": "auto"}
}'import Anthropic from '@anthropic-ai/sdk';
const client = new Anthropic({
apiKey: process.env.HYPEREAL_API_KEY, // ck_...
baseURL: 'https://api.hypereal.cloud',
});
const msg = await client.messages.create({
model: 'claude-sonnet-4-6',
max_tokens: 1024,
system: [{
type: 'text',
text: 'You are a senior TypeScript refactoring assistant.',
cache_control: { type: 'ephemeral' },
}],
hypereal: { cache: 'auto' },
messages: [{ role: 'user', content: 'Hello, Claude.' }],
});
console.log(msg.content);Anthropic modelleri
claude-opus-4-7claude-opus-4-6claude-sonnet-4-6claude-haiku-4-5managed-claude-opus-4-7-maxmanaged-claude-opus-4-6-maxmanaged-claude-opus-4-5-maxmanaged-claude-sonnet-4-6-maxmanaged-claude-sonnet-4-5-maxmanaged-claude-haiku-4-5-max05 · OpenAI Yanıtlar API'si
Yanıtlar
OpenAI'nin yeni Yanıtlar API'si (Codex CLI'nin `wire_api = responses` modu ve OpenAI Agents SDK tarafından kullanılır). Sohbet/tamamlama ile aynı kimlik doğrulama; istek gövdesi `messages` yerine `input` kullanır.
/api/v1/responsesNotlar
- Anthropic modelleri 400 döndürür — bunlar şuraya aittir:
/v1/messages. - Akışlı ve akışsız her ikisi de şuradan faturalandırılır:
response.usage.input_tokens/output_tokens. - Bazı üst akışlar her zaman SSE yayar — uç nokta bunu algılar ve şeffaf bir şekilde akış sağlar, hatta
stream:falseolsa bile. - Çoklu üst akış yük devretme. Uzun bir istemci zaman aşımı (300s+) ayarlayın.
curl https://hypereal.cloud/api/v1/responses \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-5.1-codex",
"input": "Write a TypeScript function that debounces a callback.",
"stream": true
}'import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.HYPEREAL_API_KEY,
baseURL: 'https://hypereal.cloud/api/v1',
});
const response = await client.responses.create({
model: 'gpt-5.3-codex',
input: 'Refactor this file into smaller modules.',
});
console.log(response.output_text);Codex'e ayarlı modeller
gpt-5.3-codexgpt-5.3-codex-spark06 · Codex CLI / Codex Masaüstü
Codex CLI
Codex, `wire_api = responses` sağlayıcısını /api/v1/responses adresine yönlendirir. CLI, temel URL'nin önüne `/responses` ekler, bu nedenle temel URL'yi gösterildiği gibi yapılandırın.
/api/v1/responses# ~/.codex/config.toml model_provider = "hypereal" model = "gpt-5.3-codex" [model_providers.hypereal] name = "Hypereal" base_url = "https://hypereal.cloud/api/v1" wire_api = "responses" env_key = "HYPEREAL_API_KEY"
Ardından anahtarınızı dışa aktarın:export HYPEREAL_API_KEY=ck_...
Her zamanki gibi codex çalıştırın. Codex'in gönderdiği her şey — tam akıl yürütme akışları, araç çağrıları, dosya düzenlemeleri — değişmeden proxy edilir. Faturalandırma, standart input_tokens / output_tokens kullanım bloğundan anahtarlanır.
Aynı kurulum OpenCode, Claude Code (şunu kullanın: /v1/messages), Cursor (şunu kullanın: /v1/chat/completions) ve Gemini CLI (şunu kullanın: /v1/gemini) için de çalışır.
07
Resim oluşturma
OpenAI uyumlu /images/generations şekli. Senkron — uç nokta, yukarı akış tamamlandığında resim URL'lerini (veya base64) döndürür. Resim başına faturalandırılır; `n` 1-10 ile sınırlıdır.
/api/v1/images/generationsİstek gövdesi
image, reference_images).1024x1024, 1536x1024. Sağlayıcıya bağlıdır.creditsPerGeneration × nkarşılayamazsa, uç nokta 402 döndürür.gpt-image-2, nano_banana_pro, and gemini-3-1-flash-t2i. Use gpt-5.5 only with chat, messages, or responses endpoints.curl https://hypereal.cloud/api/v1/images/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "nano_banana_pro",
"prompt": "isometric studio shot of a tiny cyberpunk apartment, neon rim light",
"n": 1,
"size": "1024x1024"
}'const res = await fetch('https://hypereal.cloud/api/v1/images/generations', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.HYPEREAL_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'nano_banana_pro',
prompt: 'a chrome teapot floating over the ocean at sunset',
n: 1,
}),
});
const { data } = await res.json();
console.log(data[0].url); // or data[0].b64_json depending on the modelGPT Image 2 — text-to-image & image-to-image
Use the same /api/v1/images/generations endpoint with "model": "gpt-image-2". Pass an array of public image URLs in reference_images to switch from pure text-to-image to image-conditioned generation (edits, restyles, character consistency).
sizeaccepts1024x1024,1536x1024(landscape),1024x1536(portrait),2048x2048,4096x4096. 2K and 4K are square only.- Reference images must be public HTTPS URLs (base64 is not accepted by this model). Up to 4 references per request.
- Pricing is per-tier: 1K, 2K, and 4K each have their own credit cost — see the model table below.
- Synchronous response: the call returns the final image URL (no polling needed). Allow up to ~120 s.
# Text-to-image (1K landscape)
curl https://hypereal.cloud/api/v1/images/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2",
"prompt": "a chrome teapot floating over the ocean at sunset",
"size": "1536x1024"
}'
# Image-to-image / edit
curl https://hypereal.cloud/api/v1/images/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-image-2",
"prompt": "same character, snowy mountain background, golden hour",
"size": "1024x1024",
"reference_images": [
"https://example.com/source.jpg"
]
}'NanoBanana 2 — image-to-image & multimodal inputs
Model id gemini-3-1-flash-t2i (NanoBanana 2). Pass references in image_urls to switch into image-to-image / multi-reference mode. Up to 4 reference images, blended in prompt order. Use the standard aspect_ratio field — landscape, portrait, and square are all supported at every resolution tier.
- Supported
aspect_ratio: 1:1, 3:2, 2:3, 4:3, 3:4, 16:9, 9:16, 21:9. - Supported
resolution: 0.5K, 1K, 2K, 4K. - Reference images may be public HTTPS URLs or base64 data URLs.
- Multi-reference works with a text prompt — combine, e.g., a character + outfit + scene reference and describe the final composition in the prompt.
# Multimodal: text + multiple reference images
curl https://hypereal.cloud/api/v1/images/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-1-flash-t2i",
"prompt": "Place the character (img 1) wearing the jacket (img 2) into the scene from img 3, cinematic light",
"aspect_ratio": "16:9",
"resolution": "2K",
"image_urls": [
"https://example.com/character.png",
"https://example.com/jacket.png",
"https://example.com/scene.png"
]
}'Resim modelleri
gpt-image-2gpt-4o-imagenano_banananano_banana_2gemini-3.1-flash-image-previewgemini-2.5-flash-image-previewflux-kontext-proflux-2-prodoubao-seedream-4-0doubao-seedream-4-5doubao-seedream-5-0gemini-3.1-flash-image-preview-officialflux-kontext-maxgemini-2.5-flash-image-officialnano_banana_progemini-3-pro-image-previewflux-2-flexgemini-3-pro-image-preview-officialgemini-3-pro-image-preview-4Kgemini-3.1-fast-imagengemini-3.1-thinking-imagen08 · uzun süreli
Video oluşturma
Senkron uzun süreli yoklama uç noktası — klip hazır olana kadar bağlantıyı açık tutun. HTTP istemci zaman aşımınızı 600s olarak ayarlayın. Faturalandırma saniye başına (çoğu model) veya klip başına (Veo, Vidu, Grok) yapılır.
/api/v1/videos/generateİstek gövdesi
per_second modelleri için anlamlıdır.16:9, 9:16, 1:1. Sağlayıcıya bağlıdır.Gemini Omni Flash accepts 16:9 or 9:16.720P.last_image_url veya image kabul eder — o model için yukarı akış belgelerine bakın.curl https://hypereal.cloud/api/v1/videos/generate \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini_omni_flash",
"prompt": "a white cube rotating on a black background, clean product demo",
"duration": 6,
"aspect_ratio": "16:9",
"resolution": "720P",
"image_urls": [
"https://example.com/product-reference.png"
]
}'const res = await fetch('https://hypereal.cloud/api/v1/videos/generate', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.HYPEREAL_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'gemini_omni_flash',
prompt: 'a cat walking on the moon, cinematic, no text',
duration: 6,
aspect_ratio: '16:9',
resolution: '720P',
image_urls: ['https://example.com/cat-reference.png'],
}),
});
const data = await res.json();
console.log(data.jobId, data.pollUrl); // poll /v1/jobs/{id} for the mp4Video modelleri
happyhorse-1.0gemini_omni_flashwan2.6-flashkling-2-6MiniMax-Hailuo-02doubao-seedance-1-0-pro-fastMiniMax-Hailuo-2.3wan2.6kling-video-o1kling-v3-omnikling-v3kling-v3-videodoubao-seedance-1-0-pro-qualitydoubao-seedance-2-0doubao-seedance-2-0-fastdoubao-seedance-1-5-proVeo3.1-fast-officialVeo3.1-quality-officialveo3.1-fastveo3.1-qualityvidu-q3-progrok-video-309 · Fish Audio
Ses — TTS, ses klonlama, ASR
Üç model kimliği tek bir uç noktayı paylaşır. Gövdenin ve yanıtın şekli, hangisini çağırdığınıza bağlıdır. Sağlayıcı Fish Audio'dur (doğrudan çağrılır, ToAPI aracılığıyla değil), istek başına faturalandırılır.
/api/v1/audio/generationsaudio-tts ve audio-clone.audio-asr (giriş) ve audio-clone (referans ses ≥ 10s).data: [{ url }] TTS / klon için, text (+ isteğe bağlı segments, duration) ASR için.curl https://hypereal.cloud/api/v1/audio/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "audio-tts",
"text": "Welcome to Hypereal. One key, every model.",
"voice_id": "en_male_calm"
}'curl https://hypereal.cloud/api/v1/audio/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "audio-clone",
"text": "This is my cloned voice.",
"audio": "https://example.com/reference-30s.mp3"
}'curl https://hypereal.cloud/api/v1/audio/generations \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "audio-asr",
"audio": "https://example.com/recording.mp3"
}'Ses modelleri
audio-ttsaudio-cloneaudio-asr10 · Google yerel şekli
Gemini
Aynı uç noktada hem Gemini-yerel (`contents` / `generationConfig` / `systemInstruction`) hem de OpenAI şekillerini kabul eder. Uç nokta, iletmeden önce dahili olarak OpenAI'ye dönüştürür. Çoğu kod için, bir Gemini model kimliği ile /v1/chat/completions daha basittir.
/api/v1/geminitemperature, maxOutputTokens vb.contents.Kimlik doğrulama başlığı: x-goog-api-key: ck_..., ?key=ck_... veya Authorization: Bearer ck_... hepsi çalışır.
curl "https://hypereal.cloud/api/v1/gemini" \
-H "x-goog-api-key: ck_..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.5-thinking",
"contents": [
{"role": "user", "parts": [{"text": "Outline a launch plan."}]}
],
"generationConfig": {"temperature": 0.6, "maxOutputTokens": 2048}
}'// The /v1/gemini endpoint accepts both Gemini-native and OpenAI shapes.
// For SDK use, the OpenAI client + /v1/chat/completions is simpler.
const res = await fetch('https://hypereal.cloud/api/v1/gemini', {
method: 'POST',
headers: {
'x-goog-api-key': process.env.HYPEREAL_API_KEY!,
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'gemini-3.5-fast',
contents: [{ role: 'user', parts: [{ text: 'Hi' }] }],
}),
});
console.log(await res.json());Gemini modelleri
gemini-3.5-thinkinggemini-3.5-fastgemini-3.1-pro-previewgemini-3-pro-previewgemini-3-flash-preview11
Hatalar ve hız limitleri
Tüm hatalar '{ error: { type, message } }' biçiminde JSON'dur. Hız limitleri anahtar başına değil, kullanıcı başına değerlendirilir — birden fazla anahtar aynı kotayı paylaşır.
ck_ ön eki yok), süresi dolmuş veya etkin olmayan anahtar.X-RateLimit-Limit, X-RateLimit-Remaining ve X-RateLimit-Reset başlıkları hız limiti yanıtlarında döndürülür.model, bilinmeyen model kimliği (yanıt şunları içerir: available_models) veya biçim için yanlış uç nokta (örn. bir Anthropic modeli /chat/completionsüzerinde).DEVELOPER
ComfyUI as API
Deploy a ComfyUI container as a Hypereal-managed GPU endpoint. Same per-second billing, auto-scaling, webhook delivery as any other deployment — you control the workflow graph and the model weights.
/comfy workflow-JSON paster and /v1/comfy/* routes were retired. ComfyUI now ships as a regular Deployment — you bring a Docker image (e.g. runpod/worker-comfyui or your own), we mount it on real GPUs./v1/gpu/run/{slug}Submits a job to your ComfyUI deployment. Async by default; pass "sync": true to wait inline up to 240s.
curl -X POST https://hypereal.cloud/v1/gpu/run/my-comfy-workflow \
-H "Authorization: Bearer $HYPEREAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"prompt": "a cinematic portrait of an astronaut",
"seed": 42,
"workflow_overrides": { "Sampler.steps": 30 }
}
}'{
"job_id": "K3uA7Pq9xLm4",
"status": "queued",
"provider_job_id": "..."
}/v1/gpu/jobs/{id}Poll for status. We live-poll the worker on each request so you see queued → running → succeeded in near real time. On succeeded credits settle to the actual GPU-seconds; on failed we refund the hold. Pin a webhookUrl on the deployment to skip polling.
{
"job_id": "K3uA7Pq9xLm4",
"status": "succeeded",
"output": { "images": ["data:image/png;base64,..."] },
"executionMs": 18420,
"creditsCharged": 56
}# List
curl https://hypereal.cloud/v1/deployments \
-H "Authorization: Bearer $HYPEREAL_API_KEY"
# Create (point at any ComfyUI worker image)
curl -X POST https://hypereal.cloud/v1/deployments \
-H "Authorization: Bearer $HYPEREAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"slug": "my-comfy-workflow",
"name": "My Comfy",
"dockerImage": "runpod/worker-comfyui:dev-cuda12.1.1",
"gpuTypes": "ADA_48_PRO,AMPERE_80"
}'Open /infra/deployments/new: pick a GPU tier, point at your ComfyUI Docker image (custom builds with your weights and custom nodes pre-baked work fine), set min/max workers and idle timeout. Your endpoint goes live in 60s.
Full Infrastructure docs: /docs/infra — handler spec, pricing, webhook protocol, R2 storage for weights.
ENTERPRISE
Gateway features
Cost visibility, budget guardrails, request logs, multi-provider failover, and smart routing — all built into the same API key. No extra setup, no separate dashboard tier.
Spend, by model, in real time
Per-model pie, daily cost trend, top-10 most expensive requests. Available on every account at /usage. Export the underlying logs to CSV at any time:
GET /api/api-usage/export?days=30 Authorization: session cookie → hypereal-usage-2026-05-10.csv
Per-key monthly cap, with email guardrails
Set spendingLimit on any API key. We email at 80% (heads up) and 100% (hard cap). Optional: auto-disable the key on overshoot so a runaway loop never costs you a four-figure invoice.
POST /api/api-keys
{
"name": "prod-eu",
"spendingLimit": 50000 // 500 USD / month
}Every call, searchable
Every API call is indexed by endpoint, model, status code, latency, and cost. Filter and search at /usage, or pull the JSON directly:
GET /api/api-usage?days=30&limit=1000
{
logs: [...],
costByModel: [...],
topExpensiveRequests: [...]
}Outages don't reach your users
Every supported model has a fallback chain. On 5xx, timeout, or 429 we transparently retry the next provider with exponential backoff. You always get a result or a single, clean error — never a flap.
primary: seedance-2-0-turbo-t2v (region us-east) fallback: seedance-2-0-t2v (region us-west) fallback: seedance-2-0 (region eu-central) retries: 1 per target, exp backoff
Pick by intent, we pick the cheapest qualified model
Send intent instead of model and we'll route to the cheapest provider in that capability bucket — without giving up determinism: pin a model whenever you want and we'll honor it exactly.
POST /v1/images/generate
{
"intent": "text-to-image-fast", // ← we'll pick the cheapest qualified model
"prompt": "a quiet sunrise over Mt Fuji"
}
# Or pin explicitly:
{ "model": "nano-banana-t2i", "prompt": "..." }SERVERLESS
GPU models
Hosted serverless GPU inference at /v1/gpu/{slug}. One API key, credit billing, audit log, and webhooks. Same wallet and dashboard as your LLM calls.
1. Pick a model
Browse the live catalog at /gpu-recommend. Each model lists its slug, per-call or per-second credit cost, and the maximum execution time per call.
2. Sync invocation (small jobs)
Short-running models return the output inline.
curl -X POST https://api.hypereal.cloud/v1/gpu/sdxl \
-H "Authorization: Bearer ck_..." \
-H "Content-Type: application/json" \
-d '{"input": {"prompt": "a tabby cat astronaut"}}'
→ { "id": "...",
"status": "succeeded",
"outputs": ["https://cdn.hypereal.cloud/gpu/.../out.png"],
"costCredits": 50,
"durationMs": 4210 }3. Async invocation (long jobs)
Long-running models queue and return a job id immediately with a 202. Poll, or wait for our cron + webhook poller to settle the job.
# Submit
POST /v1/gpu/wan-video
{ "input": { "prompt": "drone over Tokyo, neon, rain", "seconds": 5 } }
→ 202 { "id": "abc...", "status": "queued", "pollUrl": "/v1/gpu/jobs/abc..." }
# Poll
GET /v1/gpu/jobs/abc...
→ { "id": "abc...",
"status": "succeeded",
"outputs": ["https://cdn.hypereal.cloud/gpu/.../clip.mp4"],
"costCredits": 312,
"durationMs": 156000 }Failed and timed-out jobs auto-refund the credit reservation. Per-second billing reconciles on completion using the model's reported execution time, capped at the model'smaxSeconds.
ENTERPRISE
Teams, RBAC & SSO
Organizations, five built-in roles, SAML and OIDC single sign-on. Built so security and procurement can sign off without a custom rider.
Org-scoped keys, audit log, billing
Every API key, webhook, ComfyUI workflow, and GPU template can belong to an organization instead of an individual. Teammates share one budget, one audit trail, and one invoice. Personal keys keep working alongside.
POST /api/orgs
{
"name": "Acme Inc"
}
→ { id, slug, role: "owner" }Owner · Admin · Developer · Billing · Viewer
- Owner — everything, including delete-org
- Admin — manage members, keys, SSO, webhooks
- Developer — create/delete API keys, manage workflows + GPUs
- Billing — view + manage payments and audit log
- Viewer — read-only access to keys, billing, audit
Configure your IdP in 3 steps
- Create a SAML app in Okta / Azure AD / Auth0 / Google.
- Set ACS URL to
https://hypereal.cloud/api/auth/sso/<providerId> - Paste the IdP metadata XML into /settings/organization → SSO.
Set the email-domain claim (e.g. acme.com) and the login form will auto-route corporate emails to your IdP — no password prompt.
Issuer + client credentials
Drop in your issuer URL, client id, and client secret. We fetch the/.well-known/openid-configuration on save and surface a green check when the IdP is reachable.
POST /api/orgs/{id}/sso
{
"type": "oidc",
"issuer": "https://idp.acme.com",
"clientId": "...",
"clientSecret": "...",
"domain": "acme.com"
}12
Fiyatlandırma ve krediler
Bir birim: 100 kredi = 1.00 USD. LLM'ler, her modelin giriş / çıkış oranını kullanarak token başına faturalandırılır. Medya modelleri resim başına, saniye başına veya klip başına faturalandırılır.
LLM'ler
Token sayısı × MTok başına oran. Akış istekleri, son kullanım bloğuna göre faturalandırılır.
Resimler
Oluşturma başına sabit ücret × gerçek n dönen.
Video ve ses
Saniye başına (çoğu video), klip başına (Veo, Vidu, Grok) veya istek başına (Fish Audio).
Claude, GPT, Gemini ve belirli resim modelleri (GPT Image 2, Nano Banana) doğrudan sağlayıcılar üzerinden fiyatlandırılır. Video, ses ve diğer medya modelleri standart oranlarda faturalandırılır.

