Quickstart

Send your first API request in 5 minutes

Prerequisites

Create an API Key

1. aLog in to Dashboard, go to Console → LLM → My API Keys
2. bClick Create New Key, set a name (e.g. "dev-key", "production")
3. cCopy the key sk-xxxxxxxxxxxx and store it in a safe place

Subscribe to a Model from Marketplace

1. aOpen the key detail drawer → "Subscriptions" tab
2. bClick Subscribe More Models → browse and select a model (e.g. GPT-4o, Claude Sonnet)
3. cView pricing and rating, then click "Use Now"

Save Endpoint URL

Send Your First Request

curl

curl -X POST https://api.arzastore.com/v1/chat/completions  -H "Authorization: Bearer sk-your-api-key"  -H "Content-Type: application/json"  -d '{
 "model": "gpt-4o",
 "messages": [
 {"role": "system", "content": "Bạn là trợ lý AI hữu ích."},
 {"role": "user", "content": "Xin chào! Giới thiệu về bạn."}
 ],
 "max_tokens": 1024
 }'

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(
 api_key="sk-your-api-key",
 base_url="https://api.arzastore.com/v1"
)
response = client.chat.completions.create(
 model="gpt-4o",
 messages=[
 {"role": "system", "content": "Bạn là trợ lý AI hữu ích."},
 {"role": "user", "content": "Xin chào! Giới thiệu về bạn."}
 ],
 max_tokens=1024
)
print(response.choices[0].message.content)

Node.js (OpenAI SDK)

import OpenAI from "openai";
const client = new OpenAI({
 apiKey: "sk-your-api-key",
 baseURL: "https://api.arzastore.com/v1",
});
const response = await client.chat.completions.create({
 model: "gpt-4o",
 messages: [
 { role: "system", content: "Bạn là trợ lý AI hữu ích." },
 { role: "user", content: "Xin chào! Giới thiệu về bạn." }
 ],
 max_tokens: 1024,
});
console.log(response.choices[0].message.content);

Streaming (Optional)

Add stream: true to receive response in chunks, for faster display to end users.

Python Streaming

from openai import OpenAI
client = OpenAI(
 api_key="sk-your-api-key",
 base_url="https://api.arzastore.com/v1"
)
stream = client.chat.completions.create(
 model="gpt-4o",
 messages=[
 {"role": "user", "content": "Viết một bài thơ ngắn về Việt Nam"}
 ],
 stream=True
)
for chunk in stream:
 if chunk.choices[0].delta.content:
 print(chunk.choices[0].delta.content, end="", flush=True)

Node.js Streaming

import OpenAI from "openai";
const client = new OpenAI({
 apiKey: "sk-your-api-key",
 baseURL: "https://api.arzastore.com/v1",
});
const stream = await client.chat.completions.create({
 model: "gpt-4o",
 messages: [
 { role: "user", content: "Viết một bài thơ ngắn về Việt Nam" }
 ],
 stream: true,
});
for await (const chunk of stream) {
 const content = chunk.choices[0]?.delta?.content || "";
 process.stdout.write(content);
}

Choose the Right Model

Task	Recommended Model	Reason
Simple chat, Q&A	gpt-4o-mini, claude-haiku-4.5	Fast, cheap, good enough
Coding, debugging	claude-sonnet-4.6, gpt-4.1	Strong at code, balanced speed/quality
Complex analysis	claude-opus-4.6, o3	Highest quality, strong reasoning
Long documents	gemini-2.5-pro	Very large context window

Next Steps