API Documentation

Base URL and Authentication

Use https://api.uncensoredaiapp.com/v1 as your base URL. Pass your API key in the Authorization header as a Bearer token. You get one key per account, replaced when you generate a new one. The key appears immediately after signup via Google or email.

First Request

Send a POST request to /v1/chat/completions with the model set to uncensored. The API returns text based on your prompt. Errors like 401 or 402 indicate auth or credit issues.

Copycurl https://api.uncensoredaiapp.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List three ways to optimize postgres queries"}]
  }'

Python SDK Integration

Use the official OpenAI Python library. Set the base URL and API key, then call chat.completions.create. This approach works for most standard text generation tasks without extra setup.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.uncensoredaiapp.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 Usage

Initialize the OpenAI Node client with your base URL. Call chat.completions.create with model uncensored. This method handles standard JSON responses efficiently for web apps.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.uncensoredaiapp.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 and SSE

Set stream: true to receive Server-Sent Events. Each chunk contains partial text. Token usage details appear in the final chunk. This reduces latency for long responses.

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)

Rate Limits and Errors

Limit is 300 requests per minute per key. Max concurrent requests: 8. Request body limit: 8 MB. Context window: 100,000 tokens. Max output: 16,000 tokens. Errors include 401 for invalid keys, 402 for no credit, and 429 for rate limits.