Quickstart: Integrate Your AI API Key

Prerequisites: Your API Key and Base URL

To start, visit the Get API key page. Enter your email and password to receive your unique AI API key immediately. No credit card is required for the initial trial. You will also need the base URL for our OpenAI compatible API endpoint:

• Base URL: https://api.getaiapikey.com/v1
• Model ID: uncensored

Keep these credentials secure. You can regenerate your key at any time from your dashboard, which will immediately revoke the previous one. Our service is designed to drop into existing projects with minimal configuration changes.

First Request: Standard Chat Completions

Send a standard POST request to the chat completions endpoint. This example uses curl to demonstrate how simple the integration is. Replace YOUR_API_KEY with your actual key. The model identifier is fixed at uncensored.

This endpoint handles text-in, text-out interactions. It does not support embeddings, images, audio, or video generation, keeping the focus purely on language processing. Ensure your request body stays under 8 MB.

Using the Python SDK

For Python developers, use the official openai library. Point it to our base URL and provide your AI API key. This approach allows you to keep your existing code structure while switching to an uncensored model for lawful adult content or broader creative freedom.

The client handles serialization and connection pooling automatically. You can adjust the max_tokens parameter to control output length, keeping within the 100,000 token context window that includes both prompt and completion.

Using the Node.js SDK

Node.js users can achieve the same drop-in compatibility by configuring the OpenAI SDK with our custom base URL. This ensures that your existing application logic remains intact while gaining access to our specific model capabilities.

Remember that each account is limited to one active key, which can be regenerated at any time. This simplicity reduces the overhead often found in multi-model aggregators, giving you a direct connection to the uncensored model.

Streaming Responses (SSE)

For real-time user experiences, enable streaming by setting stream: true in your request. The API returns Server-Sent Events (SSE) containing partial token responses. This reduces perceived latency for end-users.

Streaming works identically across all supported SDKs. Ensure your client is set up to handle incremental data chunks. The total context window remains 100,000 tokens, so manage your prompt length carefully to avoid truncation during long conversations.

Limits, Errors, and Model Listing

Monitor your usage to avoid interruptions. You are limited to 300 requests per minute per key. If you exceed this, you will receive a 429 rate limit error. A 401 error indicates an invalid or expired key, while a 402 error means you need to top up your prepaid credit.

Use the GET /v1/models endpoint to verify connectivity. It returns the available model details. Our service does not offer SLA guarantees or enterprise certifications, focusing instead on straightforward, transparent pricing. Credits never expire, allowing you to pause and resume usage at your own pace.

cURL

Copycurl https://api.getaiapikey.com/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."}]
  }'

Python

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.getaiapikey.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.js

Copyimport OpenAI from "openai";

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

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)