Quickstart for DeepSeek users

Authentication and Base URL

Our API is hosted at https://api.deepseekapikey.com/v1. To authenticate, include your API key in the Authorization header as a Bearer token. You can generate a key on the Get API key page using just an email and password. If you lose your key, you can regenerate it at any time, which immediately revokes the previous one. Unlike some vendors, we do not require a credit card for the initial trial account.

First Request

Send a standard POST request to /v1/chat/completions. Use the model ID uncensored to access our open-weight model. The request body follows the standard structure with a messages array containing your prompt. This endpoint supports text input and text output, making it a drop-in replacement for many existing integrations.

Copycurl https://api.deepseekapikey.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Write a blunt product review of a cheap VPN."}]
  }'

Python SDK Integration

If you are using the official OpenAI Python client, you can point it to our base URL by overriding the base_url parameter. Pass your key to the client initialization. This approach allows you to keep your existing Python code structure while routing requests through our uncensored endpoint. The client handles JSON serialization and response parsing automatically.

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.deepseekapikey.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

For Node.js applications, initialize the OpenAI client with the same configuration strategy. Set the baseURL to our API endpoint and provide your key. This ensures that all subsequent calls, including tool usage, route correctly to our servers. This method works with any OpenAI-compatible SDK that respects the baseURL override.

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.deepseekapikey.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

Enable streaming by setting stream: true in your request payload. The API returns a Server-Sent Events (SSE) stream, allowing you to receive tokens as they are generated. This is ideal for user interfaces that benefit from real-time feedback. The stream format matches the standard OpenAI SSE specification, so your existing streaming handlers should work without modification.

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)

Limits, Errors, and Context

The context window supports 100,000 tokens for both prompt and completion combined. If you exceed the rate limit of 300 requests per minute, the API returns a 429 error. Authentication failures return a 401 status, while insufficient prepaid credit results in a 402 error. You can check available models via GET /v1/models, though the primary endpoint is designed for chat completions. Prompts are not used for training, and the model blocks sexual content involving minors.