Many misunderstandings come from mixing the official website, chat entry, API docs, and the raw API endpoint.
Best for product discovery, official entry confirmation, and links into the chat experience.
Useful for trying Q&A, drafts, and quick tasks before writing code.
Use this for parameters, model names, Thinking, Tool Calls, JSON Output, and code samples.
Programmatic calls go to api.deepseek.com, not to the browser-facing website.
Developers need API keys, quota management, and a reliable place to validate current docs.
IDEs, automation tools, and agent frameworks can use DeepSeek, but should still follow official parameters and response formats.
These are the capabilities that usually determine whether an integration is stable or fragile.
A general-purpose entry for most Q&A, rewriting, summarization, and day-to-day API tasks.
Better suited to tasks that benefit from stronger step-by-step reasoning.
You can also switch modes on deepseek-chat with the thinking parameter instead of relying on one fixed model name.
For search, function execution, and action-oriented tasks, tool calling is more reliable than plain text only.
Use structured output and schemas whenever the result will be consumed by downstream code.
Completion-style and beta features may require a separate base_url or special settings.
If the goal is production readiness, not just a demo, follow this order.
Decide whether you need standard chat, stronger reasoning, or a beta feature before you start coding.
Define system, user, assistant, and tool-message boundaries clearly to avoid unstable multi-turn behavior.
Choose text, Markdown, JSON, or function arguments up front so downstream handling stays consistent.
Protect against missing fields, tool-call failures, empty responses, and truncation issues.
Track success rate, failure cases, token cost, and human review effort if you want to improve the workflow over time.
A few clarifications prevent a lot of implementation churn.