API Documentation

Authentication and Base URL

Use your API key with the base URL to start making requests. The endpoint is https://api.fullyuncensoredai.com/v1Authorization header. Every new account gets immediate access upon signup.

Chat Completions Endpoint

Send requests to POST /v1/chat/completions with the model uncensored. The API processes text input and returns generated text output. You can control the response with parameters like temperature and top_p. Errors and refusals do not consume credit.

Copycurl https://api.fullyuncensoredai.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Explain how to configure a proxy for the api"}]
  }'

Streaming Responses with SSE

Enable streaming by setting stream: true in your request. The API returns Server-Sent Events (SSE) for real-time token delivery. The final chunk includes the complete token usage statistics. This approach reduces perceived 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)

JSON Mode and Function Calling

Use response_format: {"type": "json_object"} for structured output. Function calling is supported via the tools parameter. This allows your application to execute logic based on the model's decisions. Ensure your tool definitions match the expected schema.

Copyimport OpenAI from "openai";

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

Python SDK Integration

Install the official OpenAI Python package and configure the base URL. Pass your API key to the client initialization. The SDK handles the HTTP details automatically. This method is ideal for backend services and scripts.

Copyfrom openai import OpenAI

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

Rate Limits and Concurrency

Each key allows 300 requests per minute and 8 concurrent requests. The context window is 100,000 tokens total. Requests exceeding 8 MB in body size will fail. You will receive a 429 error if you exceed the rate limit. A 401 error indicates an invalid key.