Unlimited AI API: Quickstart Guide

Base URL and Authentication

Our API is fully compatible with the OpenAI SDK format. You must set the base URL to https://api.unlimitedaiapi.com/v1. This ensures all requests route to our dedicated uncensored model, not a proxy or aggregator. Authentication uses a Bearer token in the Authorization header. You can generate your key immediately after signing up with just an email and password. The key is shown once after signup, but you can regenerate it at any time, which invalidates the old one. We do not require a phone number or credit card for the trial tier.

First Request

Start by sending a simple chat completion request. This confirms your API key works and gives you an idea of the response speed. The model ID is always uncensored. You can send multiple messages in a single request to maintain context. The model accepts standard OpenAI message formats. There are no complex routing rules or vendor-specific quirks to manage.

Copycurl https://api.unlimitedaiapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Check the response for the choices array containing the generated text. If you get a 401 error, verify your API key. A 402 error means your prepaid credit is exhausted.

Python SDK Integration

Using the official openai Python library makes integration trivial. Set the base_url and api_key in your client initialization. This approach works for synchronous calls, which is the standard mode for most scripts. We support standard text input and output. We do not offer embeddings or image generation, so keep your payload focused on text. The SDK handles tokenization automatically, so you do not need to count tokens manually for basic usage.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.unlimitedaiapi.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Ensure you are using a recent version of the SDK to support the base_url parameter correctly. This setup connects directly to our infrastructure without third-party routing layers.

Node SDK Usage

For Node.js environments, the official openai package works with minimal configuration. Pass your API key and the correct base URL during initialization. This allows you to leverage existing Node.js infrastructure while maintaining full control over your API calls. We support standard request-response patterns. Streaming is handled separately via Server-Sent Events. The model is an open-weight model tuned for fewer refusals, making it suitable for creative or controversial topics within legal bounds.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.unlimitedaiapi.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

Remember that we charge per token, so monitor your usage via the response headers or your dashboard. There are no hidden fees or monthly subscriptions.

Streaming Responses

You can enable streaming by setting the stream parameter to true in your request. The API returns Server-Sent Events (SSE) instead of a single JSON object. This reduces perceived latency for long outputs. Each chunk contains a partial delta of the response. You must accumulate these deltas to reconstruct the full text. Pricing remains based on the total input and output tokens processed, regardless of streaming. This is ideal for UIs that want to display text as it is generated.

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

Handle SSE parsing carefully to avoid memory leaks if a connection drops unexpectedly. The 100,000 token context window applies to the entire conversation history, not just the current turn.

Limits, Errors, and Context

Your API key is limited to 300 requests per minute. If you exceed this, you will receive a 429 rate limit error. The maximum request body size is 8 MB. The model has a 100,000 token context window, combining both prompt and completion tokens. This is sufficient for most long-document tasks. We do not offer fine-tuning or model routing. If you need embeddings, you must use a separate service. The hard content limit blocks sexual content involving minors, but otherwise allows lawful adult and controversial topics. Errors like 401 indicate an invalid key, while 402 indicates insufficient prepaid credit.