DeepSeek's current docs now publish full thinking-mode tool-call samples, including a reasoning_content transcript that makes replay debugging easier

Checked on July 6, 2026: DeepSeek's official docs currently expose both a Python thinking-mode tool-call sample and a separate output transcript page, giving developers a first-party reference for tool schemas, chained calls, blank content turns, and reasoning_content replay behavior.

Accepted official-source monitoring note

Today's publish-safe item stays DeepSeek-first and uses backup official documentation because the live @deepseek_ai timeline still was not safely readable in this run. DeepSeek's English homepage still anchors the official X account, but the clearer current developer signal is in the official docs sitemap and the newly exposed sample pages under the API docs.

What we verified on July 6, 2026

DeepSeek's official docs sitemap currently includes a dedicated Python thinking-mode tool-call sample page.
The same official docs surface also includes a separate tool-call output transcript page, which exposes how reasoning_content, content, and tool_calls evolve across multiple turns.
The sample uses a chained pattern rather than a one-shot demo: the model first calls get_date, then uses that result to call get_weather, then answers the user.
The output transcript shows that content can be empty during a valid tool-call turn, which is an important debugging boundary for agent runtimes that incorrectly expect a final answer on every assistant message.
This is support and protocol coverage only. It does not create any new plan card, stock promise, or pricing change in this repo.

Why this is publishable

This is a current first-party developer reference from official DeepSeek docs, not a community wrapper or third-party tutorial.

It gives developers a concrete official baseline for thinking-mode tool calls instead of generic function-calling theory.
It is distinct from the older thinking-mode and reasoning-model pages already on the site because the new angle is sample-level implementation evidence and transcript-level replay evidence.
It answers a recurring support problem: whether blank content or multi-step tool chains are normal in DeepSeek's official flow.
It creates a tight source cluster for today's two new inner pages without repeating the July 5 alias-retirement warning.

Rejected candidates today

Direct official X timeline as the primary source: rejected because the timeline still was not safely readable here.
The July 24 alias-retirement warning: still official, but rejected as today's headline because it was already used in the July 5 publish and would be duplicate-content risk.
The official status page: checked and healthy, but weaker than the newly surfaced docs samples for today's single news slot.
Official GitHub and Hugging Face surfaces: checked as backup official sources, but neither exposed a clearer current DeepSeek API support signal than the sample-plus-transcript docs pair.

Editorial takeaway

The strongest current DeepSeek developer update is not another launch recap. It is that the official docs now give teams a first-party implementation fixture for thinking-mode tool calls and a first-party transcript for replay debugging. That is more actionable than another generic reasoning explainer and safer than over-reading an inaccessible X timeline.