Yes, you can use the OpenAI SDK with DeepSeek. Configure the OpenAI client to use DeepSeek’s official OpenAI-compatible base URL, supply a DeepSeek API key, and use a DeepSeek model ID such as deepseek-flash. The OpenAI SDK is only the…
DeepSeek JSON Output is the API feature that asks DeepSeek to return a valid JSON string instead of ordinary prose. In Chat Completions, you enable it with response_format={“type”:”json_object”}. In the Responses API, you can use text.format={“type”:”json_object”} for JSON mode or…
DeepSeek API rate limits are currently documented mainly as account-level concurrency limits, not as a simple “requests per minute per API key” table. The official Rate Limit & Isolation documentation lists deepseek-flash at 2,500 concurrent connections per account and deepseek-v4-pro…
A DeepSeek API key is the credential used to authenticate requests to the official DeepSeek API. You create it in the DeepSeek Platform API Keys page, keep it secret, and send it to the API as a Bearer token in…
You can use DeepSeek as the model backend for Claude Code without replacing the Claude Code terminal workflow. DeepSeek provides an official Anthropic-compatible API endpoint specifically supported by Claude Code: configure Claude Code to send its model requests to ,…
DeepSeek currently supports image understanding through the deepseek-flash API model. You can send text together with JPEG, PNG, GIF, or WebP images and ask the model to describe a picture, read visible text, inspect a screenshot, analyze a chart, or…
DeepSeek Tool Calls let the model request an external function, but the model does not execute that function itself. Your application defines the available tools, DeepSeek can return one or more function calls with arguments, your code validates and executes…
DeepSeek Context Caching is an automatic server-side cache for reusable prefixes in API input. When a later request fully matches a prefix that DeepSeek has already persisted to its disk cache, those input tokens can be served as a cache…
DeepSeek Thinking Mode makes the model generate reasoning before its final answer. In the current DeepSeek API, thinking is enabled by default at high effort, and you can switch it off or choose low, high, or max reasoning effort depending…
To diagnose a DeepSeek API error, capture the HTTP status and the accompanying error message before changing your code. Then identify whether the failure comes from credentials, billing, the request itself, service capacity, the network, or response handling. Repeatedly sending…
