DeepSeek AI offers a powerful suite of language models accessible through their API. This article addresses common questions about DeepSeek API, covering account management, billing, API usage, and integration with tools like LangChain. Whether you're just getting started or looking to optimize your implementation, this guide provides valuable insights.
Experiencing issues signing into your DeepSeek account? This could be due to automated risk control measures triggered by recent account activity. If you believe this is an error, appeal by filling out this form. The DeepSeek team will review your request promptly.
A "Login failed. Your email domain is currently not supported for registration" error indicates that your email service provider is not currently compatible with DeepSeek's registration system. Try using a different email address from a supported provider. If problems persist, reach out to the DeepSeek support team at [email protected].
A common concern is the longevity of topped-up balances. The good news is that your topped-up balance on DeepSeek does not expire! You can always check the expiration date of granted balances (e.g., promotional credits) on the billing page.
Rate limits are in place to ensure fair usage and maintain the stability of the DeepSeek API. These limits are dynamic, adjusting based on real-time traffic and your account's recent usage patterns. Currently, DeepSeek does not offer the option to increase the dynamic rate limit for individual accounts. You can always check the API Status Page to ensure the API is running smoothly.
Users sometimes observe a speed difference between the DeepSeek API and the web service. This is primarily due to the output method. The web service employs streaming output displaying tokens incrementally.
The API, by default, uses non-streaming output (stream=false), delivering the complete generation only when finished. For enhanced interactivity and perceived speed, enable streaming output in your API calls.
When using non-streaming requests (i.e. waiting for the full response), the API returns empty lines to prevent TCP connection timeouts. Similarly, for streaming requests, it sends SSE keep-alive comments (: keep-alive).
If you're parsing HTTP responses directly, ensure your code appropriately handles these empty lines or keep-alive comments to avoid errors.
DeepSeek API is compatible with LangChain framework. Use the deepseek_langchain.py demo code as a reference. Remember to replace the placeholder API key with your actual key.
Understanding token usage is crucial for managing costs. Refer to the Token & Token Usage guide for details on how tokens are counted, and how to estimate costs. See also Context Caching for optimising token usage via strategic caching of previous calculations.
For the latest updates, community support, and more, DeepSeek provides several channels:
By understanding these key aspects of the DeepSeek API, you can effectively leverage its capabilities for your AI-powered applications.
