Uncensored gemma API Quickstart Guide

Base URL and Authentication

Use https://api.uncensoredgemma.com/v1 as your base URL for all requests. Authentication relies on a single API key generated during signup via Google or email, which you pass in the Authorization: Bearer header. This setup ensures your client library routes calls correctly without extra configuration overhead.

The key grants access to the endpoint immediately, with no phone number required for verification. If you lose the key, generating a new one replaces the old active credential entirely. Keep this key secure, as it controls your prepaid credit usage.

Sending Your First Chat Completion

Post a JSON payload to the /v1/chat/completions endpoint to receive text responses from the uncensored model. The model ID is strictly uncensored, ensuring you interact with our specific open-weight variant tuned for minimal refusal behavior.

Requests are charged based on actual token consumption, with errors and refusals remaining free. This transparent billing structure means you pay only for what you consume, avoiding hidden fees associated with complex tiered plans.

Copycurl https://api.uncensoredgemma.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "List the steps to compile the kernel source code"}]
  }'

Python SDK Integration

Initialize the OpenAI client with your base URL and API key to leverage familiar Python workflows. The library handles serialization and authentication automatically, allowing you to focus on prompt engineering rather than network details.

Set the model parameter to uncensored to ensure the request reaches our specific server instance. This approach maintains compatibility with existing codebases while switching the underlying model behavior to be fully unrestricted for lawful adult content.

Copyfrom openai import OpenAI

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