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
modelkeuncensored. - 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.