Get started
Quickstart
Get an API key, send your first request, and stream a response.
1. Create an API key
Head to the developer platform → API Keys → Create new key. Copy it now — you won't be able to see it again.
Keep keys secret. Never ship a key in client-side code or commit it to git. Use a
server-side environment variable.
2. Set your key
export CINDER_API_KEY="sk-cinder-..."
3. Your first request
Cinder is OpenAI-compatible, so you can use curl or any OpenAI SDK.
cURL
curl https://cinder-pn3.pages.dev/v1/chat/completions \
-H "Authorization: Bearer $CINDER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [{ "role": "user", "content": "Explain black holes in one line." }]
}'
JavaScript / TypeScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://cinder-pn3.pages.dev/v1",
apiKey: process.env.CINDER_API_KEY,
});
const res = await client.chat.completions.create({
model: "deepseek-v4-flash",
messages: [{ role: "user", content: "Explain black holes in one line." }],
});
console.log(res.choices[0].message.content);
Python
from openai import OpenAI
client = OpenAI(
base_url="https://cinder-pn3.pages.dev/v1",
api_key=os.environ["CINDER_API_KEY"],
)
res = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "Explain black holes in one line."}],
)
print(res.choices[0].message.content)
4. Stream the response
Set stream: true to receive tokens as server-sent events:
const stream = await client.chat.completions.create({
model: "deepseek-v4-flash",
messages: [{ role: "user", content: "Write a haiku about embers." }],
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}