Integrate the Uncensored LLM API

Prerequisites: SDK Setup

Install your preferred language client to start sending requests. The API works with any OpenAI-compatible SDK, so you do not need custom drivers. Create an account via Google or email to get your key instantly. No phone number is required for verification. You receive a single active key that replaces previous ones. Credit never expires, so you can pause usage without losing funds.

Authentication and Base URL

Use https://api.aiuncensoredinfo.com/v1 as your base URL. Pass your API key in the Authorization header as a bearer token. The system rejects invalid keys with a 401 error. Ensure your header format matches standard HTTP expectations. This setup works with curl, Python, Node, and other tools. Keep your key secure in environment variables. Do not share it in public repositories.

Sending Your First Request

Send a POST request to /v1/chat/completions with your model ID. Use uncensored as the model identifier. The endpoint accepts standard chat parameters like messages and temperature. You can specify a maximum output length to control costs. The system returns text responses immediately. Errors do not consume your prepaid credit. This ensures you only pay for successful completions. Configure your client to handle standard JSON responses.

cURL

Copycurl https://api.aiuncensoredinfo.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "What is the capital of France?"}]
  }'

Python

Copyfrom openai import OpenAI

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

Node.js

Copyimport OpenAI from "openai";

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

Streaming

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)