Uncensored local ai API Documentation

Base URL and Authentication

The uncensored LLM API lives at https://api.uncensoredlocalai.com/v1. Pass your key in the Authorization header using the Bearer scheme. Get your key instantly via Google or email on the signup page; no phone number required.

Copycurl https://api.uncensoredlocalai.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Generate a 500 word essay on the history of cryptography"}]
  }'

Every account gets a single active key. If you generate a new one, the old key stops working immediately. There is no subscription, just prepaid credit that never expires.

POST /v1/chat/completions Endpoint

Send your prompts to the standard chat completions endpoint. The model id is simply "uncensored". It is an open-weight model tuned for zero refusals on lawful adult content, not a GPT or Claude clone.

Copyfrom openai import OpenAI

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

Requests are processed server-side. You get text in and text out. No embeddings, no image generation, no audio. Just raw token generation via the standard OpenAI protocol.

Node.js

Copyimport OpenAI from "openai";

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