Uncensored ai model API Documentation

The uncensored AI model API lives at https://api.modelaiuncensored.com/v1. You get one active API key per account, issued immediately after signup via Google or email. Pass this key in the Authorization header as a Bearer token. We do not support multiple keys per account, so rotate your key by generating a new one on the dashboard if needed.

Send a standard chat completion request to test the connection. The model id is uncensored. You will receive a direct response without content filtering for lawful topics. This endpoint replaces your existing OpenAI base URL in any client.

Copycurl https://api.modelaiuncensored.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "return the first ten lines of a json schema for user authentication"}]
  }'

Use the official OpenAI Python library to interact with our API. Change the base URL to our endpoint and set your API key. This allows you to keep your existing code structure while gaining access to our uncensored LLM capabilities.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.modelaiuncensored.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)

For JavaScript developers, the OpenAI Node SDK works out of the box. Configure the base URL and API key in your initialization object. This ensures compatibility with your existing TypeScript or JavaScript projects without needing a custom client.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.modelaiuncensored.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);

Enable streaming by setting stream: true in your request. We return Server-Sent Events (SSE) for real-time output. The final chunk of the stream contains a usage object detailing the input and output tokens processed. This allows you to track costs accurately as the model generates text.

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)

Our API supports a 100,000 token context window for prompt and completion combined. You are limited to 300 requests per minute per key and a maximum of 8 concurrent requests. If your key is invalid, you receive a 401 error. A 402 error indicates insufficient prepaid credit, while 429 signals you have hit the rate limit.