AETHERIS DEVELOPER PLATFORM
One unified API. Four frontier models. Production-grade infrastructure for the next generation of intelligent products.
AVAILABLE MODELS
Flagship reasoning model
ALPHA is the Aetheris flagship reasoning model — built for deep analysis, long-context understanding, and reliable agentic workflows.
Multimodal vision model
SKY is the Aetheris multimodal vision model — image understanding, OCR, and rich visual reasoning paired with natural language.
Ultra-fast lightweight model
SKYFLASH is optimized for speed — millisecond response times for chat, classification, summarization, and real-time experiences.
General purpose foundation
SKY 1.0 is the balanced general-purpose foundation model that powers most Aetheris products — accurate, affordable, dependable.
Image generation
AMIT 1 is the Aetheris image generation model — photorealistic outputs, fast renders, and strong prompt adherence.
DEVELOPER EXPERIENCE
curl https://aetherisz.in/v1/alpha \
-H "Authorization: Bearer sk-aet-YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "alpha",
"messages": [
{ "role": "user", "content": "Design the future." }
]
}'curl -N https://aetherisz.in/v1/alpha \
-H "Authorization: Bearer sk-aet-YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "alpha",
"stream": true,
"messages": [
{ "role": "user", "content": "Stream a haiku." }
]
}'Get your key from the Dashboard. Pricing shown per model above; billed per token in INR.
LIVE API SERVICE
One endpoint. Multiple models. Real-time streaming. Production-ready.
/v1/alphacURL
curl -X POST /v1/alpha \
-H "Authorization: Bearer sk-aet-..." \
-H "Content-Type: application/json" \
-d '{
"model": "alpha",
"stream": true,
"messages": [{"role":"user","content":"Hello"}]
}'JavaScript
const res = await fetch("/v1/alpha", {
method: "POST",
headers: {
"Authorization": "Bearer sk-aet-...",
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "alpha",
stream: true,
messages: [{ role: "user", content: "Hello" }],
}),
});
const reader = res.body!.getReader();
const decoder = new TextDecoder();
while (true) {
const { value, done } = await reader.read();
if (done) break;
for (const line of decoder.decode(value).split("\n")) {
if (!line.startsWith("data:")) continue;
const payload = line.slice(5).trim();
if (payload === "[DONE]") break;
const { content } = JSON.parse(payload);
process.stdout.write(content);
}
}Flagship reasoning model
Response will appear here.