API Documentation

Base URL and Authentication

Start by authenticating with the base URL https://api.googlegeminiuncensored.com/v1. You receive a single active API key immediately after signing up via Google or email. Use this key in the Authorization header as a Bearer token for all subsequent requests.

• Base URL: https://api.googlegeminiuncensored.com/v1
• Header: Authorization: Bearer YOUR_API_KEY

Copycurl https://api.googlegeminiuncensored.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List the top five open source LLMs for local deployment"}]
  }'

Chat Completions Endpoint

Send text generation requests to POST /v1/chat/completions. This endpoint accepts standard message arrays and returns raw text responses without content filters for lawful adult use.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.googlegeminiuncensored.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)

The model ID is uncensored. It is an open-weight model running on our servers, distinct from GPT or Gemini. It does not route between vendors or offer embeddings.

Streaming Responses (SSE)

Enable streaming by setting stream: true in your request body. The API returns Server-Sent Events (SSE) where token usage data appears in the final chunk.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.googlegeminiuncensored.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 reduces perceived latency for long outputs. Each chunk contains partial text deltas. Parse the last event to get the total token consumption for billing transparency.

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)