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Web Search Provider — DeepSeek Harness 插件(DSH Plugin)
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dsh-web-search-provider

Web Search Provider

改进 Deepseek Harness 中的网页搜索,使用服务器端搜索服务。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add dsh-web-search-provider@0.2.2
README兼容性版本

兼容性与来源证明

Web Search Provider 以 dsh-web-search-provider 发布,当前版本为 0.2.2。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
npm
Registry 更新时间
2026/9/20

版本

0.2.2stable
2026/8/16
0.2.1stable
2026/8/16

相关插件

正在加载相关插件…

最新版
0.2.2
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
119.3 kB
文件数
20
Surface
any
许可证
MIT
发布源
npm
GitHub
★ 1
周下载
126
安全扫描
✓ v0.2.2 扫描通过
最近提交
2026/9/1
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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报告问题

相关插件

继续浏览 search-research 分类下经过校验的插件。

Weknora@wxg-prc-cpg/dsh-weknora适用于 DeepSeek Harness (dsh) 的 WeKnora 知识检索工具:通过自有知识库进行语义搜索、文档阅读以及 RAG/代理回答。Anysearch Dsh@anysearch/anysearch-dsh适用于 DeepSeek Harness 的 AnySearch 网络搜索和获取提供程序及高级工具Research Reportdsh-research-report适用于 DeepSeek Harness 的可验证研究报告引擎:基于内容寻址的证据账本(声明↔快照绑定,可检测篡改),以及带版本的封存报告,其中每项声明都带有验证结论,清单哈希用于封存目录Industry Researchdsh-industry-research适用于 DeepSeek Harness 的行业与公司研究领域包:方法论技能、行业链结构模型(industry_map)、通过 ctx.web 进行的公开来源政策/新闻跟踪(industry_track)、公司扫描卡片(company_scan)以及可审计的研究

README

dsh-web-search-provider

简体中文

Network search support for the Deepseek Harness, powered by the model provider's server-side capability.

Using this plugin requires the model provider to use the OpenAI Responses API or an Anthropic-compatible Messages API, and to provide a web search capability.

[!TIP] The Anthropic-compatible Messages API only provides a search capability, while the OpenAI Responses API additionally supports viewing a URL's page content / finding specific content within a URL's page. Providers on the OpenAI Responses API are recommended.

[!TIP] Verified to work with: the Deepseek official Messages API (the DSH built-in Deepseek provider), the OpenCode Go Messages API, the OpenCode Go Response API, and an OpenAI relay station's Response API.

[!WARNING] The DSH built-in OpenCode Go provider uses different API types for different models. For example, for its Deepseek V4 Flash/Pro models, to use this plugin's capability you need to manually add a custom provider of the Response / Message API type.

[!WARNING] Some model providers may charge extra for the web search capability this plugin uses.

This plugin does not provide its support through the web_search tool inside the Deepseek Harness, so you can use it alongside other web search provider plugins (such as the built-in web-search-deepseek).

Comparing with web-search-deepseek

TL;DR Compared with web-search-deepseek, this plugin has a clear advantage in both token consumption and time.

web-search-deepseek is the Deepseek Harness's built-in search plugin: when the model in a session calls the web_search tool, it creates a new internal session to run the search and returns several URLs with their content summaries.

Compared with web-search-deepseek, the AI in this plugin's sessions sends the network search request directly to the server, making each individual search faster. Also, the model can directly view / search page content (only with the OpenAI Responses API), reducing the tokens the AI spends on bash/curl to read a page's full content.

Using the Deepseek official Messages API's deepseek-v4-flash model with high think, each plugin performed 5 specified searches per run, tested 10 times:

PluginAverage tokensAverage time
web-search-deepseek4,44647.5s
web-search-provider82214.5s

Time is measured from the answer duration shown in the Deepseek Harness. Tokens are the average of the "output" tokens reported on the Deepseek Open Platform, using two different API tokens (because the Deepseek Harness does not count tokens consumed inside tool calls).

The results are for reference only. On tasks that need more web search content, this plugin is expected to show a more pronounced advantage.

Install

dsh plugin add dsh-web-search-provider

Or install from source:

pnpm install

Reference the built plugin from a cordis.yml overlay:

- insert:
    - id: web-search-provider
      name: 'dsh-web-search-provider'
      config:
        enabled: true
        probe: true

Config

Settings section web-search-provider (a live namespace: edits reach the next request). All fields are optional unless noted.

KeyDefaultMeaning
enabledtrueMaster switch; false sends every request down the normal adapter path.
providers[]Provider whitelist (llm-pi-ai route keys). A request is served only when its provider is also the current chat route (the plan derives its endpoint facts from that route); the whitelist restricts which of its providers may be served. Empty = serve the current chat route.
baseURLrouteEndpoint base override for the route's candidates; /responses or /messages is appended.
modelloop modelModel override; used by the capability probe and by the served wire request.
apiKeyEnvroute refCredential reference resolved per operation.
includeSourcestrueAppend include: ['web_search_call.action.sources'] to Responses wire requests.
stripServerToolstrueStrip the function-tool variants (web_search/open_page/find_in_page) from the wire tools.
idleTimeoutMs300000Idle bound for one inline request, in milliseconds.
probetrueVerify the endpoint executes native search before serving.
probeTimeoutMs30000Bound on one probe request, in milliseconds.
- id: web-search-provider
  name: 'dsh-web-search-provider'
  config:
    enabled: true
    probe: true

Known limitations

  • For providers that use the Response API / Message API but do not provide a search capability, the session errors on first use. Keep sending messages / open a new session and DSH keeps working without this plugin's capability.
  • When the AI uses this plugin's web search capability, there is no visible search-call UI. The usage may appear as multiple consecutive thinking segments, with the tail of a thinking segment containing something like "Let me make search queries".

Contributing

Building

pnpm install
pnpm build        # tsc emits lib/types, tsdown bundles lib/index.js
pnpm test         # vitest unit suite