Uncesored ai API Documentation

Base URL and Authentication

The base URL for all requests is https://api.uncesoredai.com/v1. You authenticate by passing your API key in the Authorization header as a Bearer token. This setup works with any standard OpenAI-compatible client or SDK. You receive your key immediately after signing up with Google or an email address. There is no phone number required for account creation. Your key is unique to your account and replaces any previous active key.

First Request

Send a completion by POSTing to /v1/chat/completions. The model ID is uncensored. This endpoint accepts text input and returns text output. It does not support embeddings, images, or audio. You can start by sending a simple system prompt and user message. The API responds with generated text based on your instructions. Errors and refusals do not consume your prepaid credit.

Copycurl https://api.uncesoredai.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List the top five open source LLMs for local deployment"}]
  }'

Python SDK Integration

Use the official OpenAI Python library to interact with the API. Set the base URL to our endpoint and provide your API key. The library handles serialization and request formatting automatically. You can specify the model as uncensored for unrestricted generation. Streaming and JSON modes are supported via the same client interface. This approach minimizes boilerplate code for your applications.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.uncesoredai.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 SDK Integration

The Node.js SDK follows the same configuration pattern. Configure the base URL and API key in the client instance. Set the model name to uncensored to access the uncensored model. You can make synchronous or asynchronous requests depending on your use case. The SDK manages the connection pool and retries automatically. This ensures reliable integration into your JavaScript or TypeScript projects.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.uncesoredai.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 Responses

Enable streaming by setting stream: true in your request parameters. The API returns a Server-Sent Events (SSE) stream of partial completions. This allows you to display text to users in real-time. The final chunk of the stream contains the total token usage statistics. Streaming reduces perceived latency for long-form content generation. You can parse the chunks to update your UI incrementally.

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)

Limits, Errors, and Context

Your account supports 300 requests per minute and 8 concurrent requests per key. The request body must not exceed 8 MB. The context window is 100,000 tokens for prompt and completion combined. You may encounter a 401 error if the API key is invalid. A 402 error indicates insufficient prepaid credit. A 429 error means you have exceeded the rate limit. Requests are refused if they contain sexual content involving minors. Error responses do not charge your credit balance.