API Documentation: uncensored Chat Completions

Authentication & Base URL

Every request requires a valid API key passed in the Authorization header. Our base URL is https://api.deepseekopenaicompatibleapi.com/v1. You receive this key immediately after signing up via Google or email. No phone number is required. The key identifies your account and tracks prepaid credit usage. Errors and refusals do not consume tokens, so you only pay for successful completions.

Chat Completions Endpoint

Send messages to POST /v1/chat/completions to generate text responses. The model ID is always uncensored. This endpoint handles standard chat formats with system, user, and assistant roles. It does not support embeddings, images, or fine-tuning. Configure your request with the desired model parameters and content. The response returns the generated text along with token usage statistics.

Streaming Responses (SSE)

Enable streaming by setting stream: true in your request body. The server returns Server-Sent Events (SSE) for real-time token delivery. Token usage data appears only in the final chunk of the stream. This approach reduces perceived latency for long outputs. Buffer the incoming events on the client side to reconstruct the full message.

cURL

Copycurl https://api.deepseekopenaicompatibleapi.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Summarize the release notes of the last stable build"}]
  }'

Python

Copyfrom openai import OpenAI

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