dsh-tavily-web-search
Run the following command in DeepSeek Harness:
dsh plugin install paul-yangmy/dsh-tavily-web-search
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install paul-yangmy/dsh-tavily-web-search in the DeepSeek Harness terminal to install; source: https://github.com/paul-yangmy/dsh-tavily-web-search
About this plugin
The default web_search in DSH returns only a bare list of URLs, forcing the model to guess what each link actually says. dsh-tavily-web-search swaps the search backend to Tavily so every query comes back with a generated answer summary and structured citations that include title, snippet, and published date, giving the model directly usable context in a single step.
The API Key resolves in the order of literal string, credential service, then environment variable. The DSH credential service is recommended for hot key rotation without a process restart. Search depth is fixed to basic with a hard cap of 20 results, and availability depends on Tavily service health and network conditions.
Ideal for developers who want their model to ground web answers in summaries and source metadata in one pass, rather than iterating over raw URLs to extract meaning manually.
Use Cases
- Get answer summaries and structured citations from web searches instead of bare URL lists only
- Build RAG or Q&A pipelines where every claim is backed by titled, dated source snippets
- Upgrade the default DSH web search experience in one step without manually wiring a search API
Best For
- Developers using DSH web_search who want summaries and source metadata baked into results
- AI teams that need model answers with cited sources to cut manual link-verification overhead
- Plugin users who prefer a zero-build, pure-JS drop-in with no extra tooling
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