Quickstart: uncensored openai compatible API

Install the official SDK

Start by installing the library for your preferred language. We support the standard OpenAI clients, so you can use the tools you already know. This ensures your code works with our endpoint immediately.

Set your base URL and API key

Point your client to our base URL and pass your key. We do not change the standard headers, only the endpoint. This keeps your integration simple and compatible with existing tools.

Send your first prompt to 'uncensored'

Make a request to the chat completions endpoint. You must specify the model as 'uncensored' to bypass standard guardrails. This model answers freely for lawful adult use.

Handle streaming responses

Enable streaming to receive tokens as they are generated. This provides a smoother user experience for long outputs. You can also check usage data in the final chunk.

Use JSON mode and function calling

Structure your responses or call external tools with ease. Set the response format to JSON or define tools in your request. This gives you programmatic control over the output.

Understand rate limits and quotas

Monitor your usage to avoid interruptions. We enforce strict limits to ensure stability for all users. Errors and refusals do not consume your prepaid credit.

cURL

Copycurl https://api.claudetokensprice.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Calculate total cost for 5 million tokens at current price"}]
  }'

Python

Copyfrom openai import OpenAI

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