How to Call DeepSeek API
Most users searching for “DeepSeek API call” are trying to answer a simple question: what do I actually send, where do I send it, and how do I authenticate it. In a real workflow, the answer depends on whether you are using an official endpoint directly or an OpenAI-compatible proxy access layer.
The basic pieces you need
- a Base URL,
- an API key,
- a model name,
- a request body that follows the expected API structure.
Why OpenAI-compatible access matters
Many users do not want to rewrite their entire client or SDK workflow. They want a DeepSeek-compatible endpoint that still works with OpenAI-style request structure. This is one of the main reasons AI Token Proxy is useful: it lets users work in a familiar request pattern while still targeting DeepSeek-compatible usage.
Typical request flow
- Create or obtain an API key.
- Set the Base URL.
- Select the model.
- Send a request with your messages payload.
- Read the response and track usage or billing.
Example request structure
Where AI Token Proxy fits in
AI Token Proxy is designed for users who want DeepSeek API usage in a more practical system. Instead of only giving you an endpoint, it wraps the workflow with:
- API key creation and management,
- billing and recharge flow,
- usage records,
- a proxy debug page for request testing,
- setup guidance for common AI tools.
Why this matters for real users
If you only search for “DeepSeek API call,” you might think the job is just about one HTTP request. In reality, most users also care about where the key comes from, how usage is billed, how to test requests quickly, and how to plug the same key into tools like NextChat or Chatbox. That is why a managed proxy system can be easier than handling each step separately.
AI Token Proxy provides a DeepSeek-compatible API access layer with key management, billing visibility, usage tracking, and a built-in debug console.