API Hızlı Başlangıç Kılavuzu

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

Copycurl 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

Copyfrom 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

Copyimport 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

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)