Start coding with our API

Install the OpenAI SDK

Start by installing the standard library in your project environment. This ensures compatibility with our openai compatible api endpoints without requiring custom wrappers. The official package handles serialization and retries automatically.

pip install openai

Configure your base_url and API key

Point your client directly to our infrastructure using the dedicated base URL. Authentication relies on a single key generated instantly after signup. This setup bypasses generic proxies and connects straight to our uncensored model.

base_url="https://api.pricingapiopenai.com/v1"

API_KEY="your-key-here"

Send your first chat completion

Make a standard request to generate text responses. The model accepts system prompts and user messages just like any other provider. You will receive a direct text output without hidden filters or refusals for lawful content.

Copycurl https://api.pricingapiopenai.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Send me the monthly pricing for the high tier plan"}]
  }'

Enable streaming for real-time responses

Activate streaming to receive tokens as they are generated. This reduces perceived latency for end-users and keeps the connection open until completion. The final chunk includes the total token usage for billing transparency.

Copyfrom openai import OpenAI

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

Use function calling and JSON mode

Request structured data or tool definitions to integrate with your backend logic. Set the response format to ensure strict JSON output when needed. You can also define tools for dynamic agent behaviors.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.pricingapiopenai.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);

Monitor your token usage

Track consumption through the response metadata or your dashboard. Errors do not charge credits, and prepaid credit never expires. You can monitor real-time usage to stay within your budget limits.

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)