First request in five minutes

Base URL & Authentication

Our API follows the OpenAI standard, making integration straightforward. Use the base URL https://api.uncensoredchatgpt.top/v1 with your API key. Authentication requires the header Authorization: Bearer YOUR_API_KEY. Create your key instantly via Google or email on the Get API key page. No phone number or credit card is needed for the initial setup. The uncensored chatgpt endpoint is ready for immediate use.

Send a First Request

Send a standard completion request to test connectivity. The uncensored llm api accepts simple text prompts and returns unrestricted text output. Verify your key works with this basic structure.

Copycurl https://api.uncensoredchatgpt.top/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Ensure you receive a valid JSON response containing your generated text. This confirms your uncensored api is active and ready for production.

Python SDK Integration

Use the official OpenAI Python client for seamless integration. Point it to our base URL and provide your key. This approach works for any OpenAI-compatible client.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.uncensoredchatgpt.top/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 method is ideal for backend services or scripts. It handles the HTTP layer automatically, letting you focus on prompt engineering for your uncensored ai models api needs.

Node.js SDK Usage

For JavaScript environments, the Node SDK offers similar ease. Import the client, configure the base URL, and make your first call. This is essential for web apps or serverless functions.

Copyimport OpenAI from "openai";

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

Node.js developers can quickly implement uncensored chatgpt capabilities into their existing stacks. The library manages retries and formatting, ensuring reliable text generation.

Streaming Responses (SSE)

Enable streaming by setting stream: true in your request. The API returns data via Server-Sent Events (SSE) as tokens are generated. This provides real-time feedback for users.

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)

Token usage statistics appear in the final chunk. Streaming is optimal for chat interfaces where latency matters. It keeps the uncensored api responsive even for longer outputs.

Limits, Errors & Context

Watch your limits: 300 requests per minute, 8 concurrent requests, and an 8 MB body size. A 64k context window allows long prompts, but max output is 16k tokens. Handle errors gracefully: 401 means an invalid key, 402 indicates no prepaid credit, and 429 signals rate limiting. These constraints ensure fair usage for the uncensored ai api.