Integration Guide: deepseek coder api key

Base URL and Authentication

Your API key authenticates every request. Set the base URL to https://api.deepseekcoderapikey.com/v1 in your client configuration. This URL handles both the chat completions and models endpoints without requiring extra path segments. You receive a single key per account, and generating a new one replaces the previous key immediately.

Store the key in an environment variable named DEEPSEEK_API_KEY or pass it directly to your SDK client. The endpoint accepts standard headers, so you can swap providers by changing only the base URL and the key value. This approach works with Cursor, VS Code extensions, and local dev tools that expect an OpenAI-compatible interface.

Authentication fails with a 401 status if the key is missing or invalid. Use the

Copycurl https://api.deepseekcoderapikey.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Convert this SQL query to python pandas syntax"}]
  }'

example to verify connectivity before integrating into your application logic.

Chat Completions Endpoint (POST)

Send messages to the POST /v1/chat/completions endpoint using the model ID uncensored. This endpoint processes text input and returns text output, supporting both synchronous and streaming responses. You can configure the model behavior using parameters like temperature, top_p, and stop sequences.

The context window allows up to 100,000 tokens for the combined prompt and completion. If you do not specify a max_tokens limit, the model defaults to 2,048 tokens per request. Use the

Copyfrom openai import OpenAI

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

snippet to see how to structure a standard chat request with the official OpenAI Python SDK.

Errors such as insufficient credit return a 402 status code, while malformed requests return 400. Check the response body for detailed error messages to debug your payload structure quickly.

Models Endpoint (GET)

Query the available models by sending a GET /v1/models request. This endpoint returns a list of model objects, including the uncensored model ID. You can use this endpoint to verify that your API key is valid and that the service is online before making heavy usage requests.

The response includes metadata such as the model ID, object type, and ownership information. Use this data to dynamically configure your application or to log available models for debugging purposes. The endpoint does not require a body, only the standard authentication header.

Integrating this check into your startup sequence ensures that your application fails fast if the API is unreachable. It also helps you verify that the correct base URL is configured before proceeding with actual chat completions.

Streaming Responses (SSE)

Enable streaming by setting the stream parameter to true in your request. The API returns a Server-Sent Events (SSE) stream, delivering tokens as they are generated. This approach reduces perceived latency for coding assistants and allows real-time UI updates in your application.

Each chunk contains partial content, and the final chunk includes the total token usage statistics. Parse the SSE stream carefully to handle network interruptions and buffer partial tokens. The

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)

example demonstrates how to handle the stream in JavaScript.

Streaming is ideal for long-form code generation or detailed explanations. It provides a smoother user experience compared to waiting for the entire response. Ensure your client handles the end-of-stream event correctly to finalize the response.

Function Calling and JSON Mode

Use function calling to let the model invoke external tools. Define your functions in the tools parameter and specify the tool_choice to control when the model uses them. The API supports standard tool definitions, allowing you to integrate with your own backend services.

For structured outputs, enable JSON mode by setting response_format to json_object. This forces the model to return valid JSON, which is useful for parsing configuration data or API responses. The

Copyimport OpenAI from "openai";

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

snippet shows how to configure JSON mode in Node.js.

Combine function calling with streaming for interactive tool usage. The model can invoke multiple tools in a single turn, allowing for complex multi-step workflows. Ensure your client handles tool output correctly to maintain the conversation context.

Rate Limits and Constraints

Your API key is limited to 300 requests per minute and 8 concurrent requests. The maximum request body size is 8 MB. If you exceed these limits, the API returns a 429 Too Many Requests error. Implement exponential backoff in your client to handle rate limits gracefully.

Errors like 401 indicate an invalid key, while 402 signals insufficient credit. Refunds are not issued for credit, but double charges can be resolved via the Support page. Credit never expires, so you can top up when convenient.

The context window of 100,000 tokens applies to the total prompt and completion. Monitor your token usage to stay within budget. Use the prepaid credit system to pay only for what you use, with no monthly fees or subscriptions.