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feat(web-search): let the model pick a SearxNG category

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Rename the web_search tool's `topic` parameter to `category` and expand the
enum to general/news/it/science, mapped to SearxNG `categories=`. The model can
now target the right corpus per query (e.g. `it` for code, `science` for
papers) — useful when generic engines rate-limit. The Tavily-era `finance`
topic (no SearxNG equivalent) is dropped. Threaded consistently through
_prepare_web_search / _exec_web_search / both search clients.

BREAKING: the web_search `topic` argument is now `category`.
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Patrick Buckley
2026-05-31 18:58:30 -07:00
parent eea8bf9e96
commit 15b3aad815
6 changed files with 41 additions and 24 deletions
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docs/tools.md
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@@ -344,7 +344,7 @@ Search the web using a text query.
|---------------|---------|----------|-------------|
| `query` | string | yes | The search query. |
| `max_results` | integer | no | Max results to return (default 5, max 20). |
| `topic` | string | no | Search topic: `general` or `news` (default `general`). |
| `category` | string | no | Search category: `general` (default), `news`, `it` (code/tech), or `science`. Maps to SearxNG categories; the model picks per query. |
- **What it does**: Searches the web and returns ranked results with titles, URLs, and content snippets. Uses provider-native search when available:
- **Anthropic**: Replaced at the API boundary with Anthropic's `web_search_20250305` server-side tool. Claude decides when to search; the API executes it and returns results with citations inline. No backend needed.