API documentation for the uncensored model

Base URL and authentication

Send requests to https://api.kimiapiprice.com/v1 with your API key in the Authorization header. Your key grants access to the uncensored model via standard OpenAI-compatible endpoints. Create your key on the dashboard page using Google or email. The key appears immediately and works with any OpenAI SDK by updating the base URL.

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

First request (cURL)

Execute a basic completion to verify your setup and credit balance. This simple call demonstrates the standard request structure for text generation.

Replace YOUR_API_KEY with your actual key. The response returns the generated text and token usage details. You can test the endpoint before integrating it into your main application logic.

Copycurl https://api.kimiapiprice.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "what is the current token price per million tokens"}]
  }'

Python SDK integration

Install the official OpenAI package and point it to our base URL. This allows you to use familiar Python methods for chat completions. The code snippet below shows how to initialize the client and send a simple message. You can adjust parameters like temperature to control creativity.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.kimiapiprice.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 SDK integration

Initialize the client with the custom base URL and your API key. This approach works seamlessly with existing Node.js applications that already use OpenAI clients. You can pass the model ID uncensored to ensure you get the correct model. Handle errors gracefully to manage rate limits or credit exhaustion.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.kimiapiprice.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 responses via SSE

Enable streaming by setting stream: true in your request. The server sends chunks of text as they are generated. This reduces perceived latency for long responses. Parse the Server-Sent Events (SSE) stream in your client to display text in real time. This is ideal for chat interfaces and live demos.

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)

Rate limits, errors, and context

Your key allows 300 requests per minute and 8 concurrent requests. The context window supports 100,000 tokens total. Handle errors like 401 for invalid keys and 402 for insufficient credit. Errors and refusals do not consume your prepaid credits. The maximum output per request is 16,000 tokens unless specified otherwise.