The whole dayFri 13 Nov 2026
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DeepSeek opens DeepSeek App search, file and voice tools via API

Available on 13 November 2026 across OpenAI Chat Completions, Responses and Anthropic Messages endpoints with deepseek-flash, alongside an MIT-licensed browser client on GitHub.

Cobalt-blue DeepSeek whale emblem mounted on a dark obsidian API router hub linked to search, document and audio waveform nodes
Image: AI Compass illustration (DeepSeek marks)

DeepSeek opened the server-side conversation tools powering the consumer DeepSeek App through the DeepSeek API on 13 November 2026, paired with an MIT-licensed browser frontend at github.com/deepseek-ai/chat-demo. Following DeepSeek Harness Creator Mode, developers can call these built-in tools across three protocol endpoints using the model ID deepseek-flash: OpenAI-style Chat Completions (api.deepseek.com/chat/completions), the Responses API (api.deepseek.com/responses) and an Anthropic-compatible Messages endpoint (api.deepseek.com/anthropic/v1/messages).

Server-side search, URL fetching, document OCR and speech endpoints

Enabling deepseek_web_search runs either standard cited web and image search or multi-step Deep Thinking Search when reasoning mode is active, while deepseek_read_url fetches URLs pasted into user prompts directly on DeepSeek’s servers. Client applications render the returned thinking, server_tool_use, tool-result and citation blocks and pass those blocks back unchanged on subsequent turns.

DeepSeek API assistant message diagram ordering thinking, server_tool_use with web_search_tool_result, web_fetch_tool_result and cited text blocks
DeepSeek’s API streams interleaved thinking, server-side search and URL-fetch result blocks ahead of cited text.Image: DeepSeek

Additional request fields and standalone endpoints cover PDF, Word, PowerPoint and image parsing, optical character recognition (OCR), speech-to-text (ASR), text-to-speech (TTS), automatic conversation title generation and input-output content safety checks. DeepSeek’s chatbot guide did not publish separate per-call fee schedules for the built-in search or parsing tools.

Key details

Supported API protocols
Chat Completions (/chat/completions), Responses (/responses) and Anthropic Messages (/anthropic/v1/messages)
Reference model and client
deepseek-flash model ID; MIT-licensed static web app at github.com/deepseek-ai/chat-demo (Node.js 22.12+)
Server-executed tools
deepseek_web_search (standard and Deep Thinking Search), deepseek_read_url, file parsing, OCR, ASR and TTS
Client storage design
API key stored in browser localStorage; conversation trees and attachments persisted in IndexedDB

Release details & context

Sampling overrides under content safety and static browser deployment

DeepSeek’s documentation notes a key runtime constraint for production deployments: turning on the built-in input and output content safety filter automatically overrides custom temperature and top_p sampling parameters on that request.

The companion chat-demo frontend compiles to static assets hosted at cdn.deepseek.com/chat-demo and GitHub Pages with zero backend server required, supporting KaTeX maths rendering, Mermaid diagrams, conversation branch switching, Simplified Chinese and English interfaces, and direct import of ZIP chat-history archives exported from the consumer DeepSeek Chat service.

Common questions

Do client apps need to execute web scraping locally when calling deepseek_web_search or deepseek_read_url?

No, DeepSeek executes both search and URL fetching on its own servers and returns structured result and citation blocks that the client simply passes back on multi-turn requests.

What happens to custom temperature and top_p settings when DeepSeek’s content safety check is enabled?

Enabling the API’s built-in input-output content safety parameter overrides custom temperature and top_p values on those calls.

DeepSeek release timeline (4 launches tracked)

  1. Earlier17 Oct 2026
    DeepSeek releases DeepSeek-V4.1-Flash-1017 with MIT-licensed open weights

    DeepSeek says DeepSeek-V4.1-Flash-1017 scores 77.0 on DeepSWE v1.1, ahead of Claude Opus 5’s 74.0 and GPT-5.6 Sol’s 73.0.

  2. Earlier20 Oct 2026
    DeepSeek open-sources DeepInfer, the stack behind V4.1-Flash

    DeepSeek’s DeepInfer is the open-source inference code that serves DeepSeek-V4.1-Flash in production.

  3. Earlier2 Nov 2026
    DeepSeek Harness adds Creator Mode for building live UI plugins in chat

    DeepSeek added Creator Mode to its open-source DeepSeek Harness so users can build and hot-install custom UI plugins and themes from chat.

Explore the full DeepSeek dossier or browse all product releases.

Also in the Friday 13 November edition

Read all 15 launches on one page
  1. 01
  2. 03
  3. 04
  4. 05
  5. 06
  6. 07
  7. 08
  8. 09
  9. 10
  10. 11
  11. 12
  12. 13
  13. 14
  14. 15

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