API Documentation

Authentication and Base URL

Your API key authenticates every request to the uncensored AI service. You receive this key immediately after signing up via Google or email. No phone number is required. Store this key securely and pass it in the Authorization header.

• Base URL: https://api.apillmuncensored.com/v1
• Header: Authorization: Bearer YOUR_API_KEY
• Model ID: uncensored

Use this base URL with any standard OpenAI-compatible client. The system rejects requests with invalid or expired keys immediately.

First Request

Send a simple text generation request to test connectivity. This call confirms your key works and demonstrates the uncensored nature of the model. You can send any prompt without content filters for lawful adult use.

Replace YOUR_API_KEY with your actual key.

Copycurl https://api.apillmuncensored.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 features of this api."}]
  }'

The response returns the generated text. If you receive an error, check your key or credit balance.

Python SDK Integration

Use the official OpenAI Python library to interact with the API. This method is ideal for backend services and scripts. Configure the client with the correct base URL and your API key.

Copyfrom openai import OpenAI

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

This code snippet sends a message and prints the response. You can adjust parameters like temperature for more creative or deterministic outputs.

Node.js SDK Integration

Integrate the API into your Node.js applications using the OpenAI npm package. This approach works well for server-side rendering or API endpoints.

Copyimport OpenAI from "openai";

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

Set the baseURL to point to our uncensored endpoint. The SDK handles the request formatting automatically. Ensure you have the latest version of the OpenAI package installed.

Streaming Responses

Stream tokens as they are generated for real-time user experiences. This reduces perceived latency and allows for immediate display of output. Enable streaming by setting stream: true in your request.

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)

The API sends Server-Sent Events (SSE). Each chunk contains partial text. The final chunk includes token usage statistics. This is efficient for chat interfaces.

Limits, Errors, and Context

Understand the constraints to build robust applications. The context window is 100,000 tokens total. Max output is 16,000 tokens per request. You can make 300 requests per minute per key.

Common errors include:

• 401: Invalid API key.
• 402: Insufficient credit. Top up with crypto to continue.
• 429: Rate limit exceeded. Wait and retry.

Errors do not consume credit. Requests are charged only for successful token generation.