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AI Tanpa Tapisan API untuk Pembangun

Buat kunci

https://api.geminiaiuncensored.com/v1

GeminiaPanduan Permulaan Pantas API

Panduan Permulaan Pantas API

Sambungkan klien anda ke API LLM tanpa sensor kami menggunakan hujung serasi OpenAI piawai dan sahkan dengan kunci API yang dijana.

URL Asas dan Pengesahan

URL asas untuk semua permintaan ialah https://api.geminiaiuncensored.com/v1. Lulus kunci anda dalam Authorization header sebagai token bearer. Ini berfungsi dengan mana-mana SDK yang menerima URL asas tersuai.

Menghantar Permintaan Pertama Anda

Hantar permintaan POST ke /v1/chat/completions dengan ID model uncensored. API ini memulangkan teks mentah tanpa penapis kandungan untuk topik dewasa yang sah.

  • Tetapkan model ke uncensored.
  • Termasuk messages
  • Use standard parameters like temperature.

This confirms your key works and returns immediate text output.

Python SDK Integration

Initialize the client with your base URL and key. Send a simple prompt to test the connection. The response object contains the generated text in choices[0].message.content.

Node SDK Integration

Configure the client with the same base URL. Use the chat.completions.create method. The response structure mirrors the standard OpenAI format.

Streaming Responses with SSE

Enable streaming by setting stream: true. The API sends Server-Sent Events for each token. Handle the content field in each chunk to build the final response incrementally.

Limits and Errors

Expect a 401 if the key is invalid. A 402 means you need to top up with crypto. Rate limits are 300 requests per minute. The context window is 100,000 tokens. Handle refusals for minor sexual content.

cURL

curl https://api.geminiaiuncensored.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Generate a Python function to calculate factorial recursively"}]
  }'

Python

from openai import OpenAI

client = OpenAI(base_url="https://api.geminiaiuncensored.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

import OpenAI from "openai";

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

stream = 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)

Frequently asked questions

Is this the official Gemini API?

No, we run our own uncensored model. It is compatible but not affiliated with Google.

How do I pay?

We accept USDT on TRC20 or USDC on Base. Credits never expire.

What is the context window?

The model supports 100,000 tokens for input and output combined.

Obtain your API key

Register, retrieve your key, update your base URL. That covers the entire setup.

Create key