Documentation Index
Fetch the complete documentation index at: https://student-213fb9fc.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Overview
AJ STUDIOZ Cloud Infra exposes an OpenAI-compatible REST API at https://api.ajstudioz.co.in/v1. This means any tool, SDK, or library that supports OpenAI can be pointed at our API with minimal changes.
Base URL
https://api.ajstudioz.co.in/v1
Replace https://api.openai.com/v1 with the above URL in any OpenAI SDK or configuration.
Python SDK
from openai import OpenAI
client = OpenAI(
base_url="https://api.ajstudioz.co.in/v1",
api_key="YOUR_API_KEY"
)
# Chat completions
response = client.chat.completions.create(
model="gemma3:27b",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What is machine learning?"}
],
temperature=0.7,
max_tokens=500
)
print(response.choices[0].message.content)
Node.js SDK
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: "https://api.ajstudioz.co.in/v1",
apiKey: process.env.AJSTUDIOZ_API_KEY,
});
const response = await openai.chat.completions.create({
model: "deepseek-v3.2",
messages: [
{ role: "user", content: "Explain neural networks briefly." }
],
});
console.log(response.choices[0].message.content);
Supported OpenAI Endpoints
| OpenAI Endpoint | AJ STUDIOZ Equivalent | Status |
|---|
POST /v1/chat/completions | POST /v1/chat/completions | ✅ Supported |
POST /v1/completions | POST /v1/completions | ✅ Supported |
GET /v1/models | GET /v1/models | ✅ Supported |
POST /v1/embeddings | POST /v1/embeddings | ✅ Supported |
POST /v1/images/generations | — | ❌ Not supported |
POST /v1/audio/transcriptions | — | ❌ Not supported |
Chat Completions Parameters
All standard OpenAI parameters are supported:
| Parameter | Type | Description |
|---|
model | string | Model name (e.g. gemma3:27b) |
messages | array | Chat history |
temperature | float | Sampling temperature (0–2) |
max_tokens | integer | Maximum tokens to generate |
stream | boolean | Enable streaming |
top_p | float | Nucleus sampling |
frequency_penalty | float | Frequency penalty |
presence_penalty | float | Presence penalty |
stop | string/array | Stop sequences |
n | integer | Number of completions |
Function calling is supported for capable models:
from openai import OpenAI
client = OpenAI(
base_url="https://api.ajstudioz.co.in/v1",
api_key="YOUR_API_KEY"
)
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get the current weather for a city",
"parameters": {
"type": "object",
"properties": {
"city": {
"type": "string",
"description": "The city name"
}
},
"required": ["city"]
}
}
}
]
response = client.chat.completions.create(
model="qwen3-coder:480b",
messages=[{"role": "user", "content": "What's the weather in Paris?"}],
tools=tools,
tool_choice="auto"
)
print(response.choices[0].message.tool_calls)
Using with Popular Frameworks
LangChain
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(
model="gemma3:27b",
base_url="https://api.ajstudioz.co.in/v1",
api_key="YOUR_API_KEY"
)
response = llm.invoke("What is the meaning of life?")
print(response.content)
LlamaIndex
from llama_index.llms.openai import OpenAI
llm = OpenAI(
model="deepseek-v3.2",
api_base="https://api.ajstudioz.co.in/v1",
api_key="YOUR_API_KEY"
)
Cursor / Claude-Code / Windsurf
Set in settings:
- API Base URL:
https://api.ajstudioz.co.in/v1
- API Key: Your AJ STUDIOZ API key
- Model: any model from the model list