// Web search via 9Router /v1/search using Tavily / Exa / Brave / Serper / SearXNG / Google PSE / Linkup / SearchAPI / You.com / Perplexity. Use when the user wants to search the web, look up information, find articles, or query a search engine.
| name | 9router-web-search |
| description | Web search via 9Router /v1/search using Tavily / Exa / Brave / Serper / SearXNG / Google PSE / Linkup / SearchAPI / You.com / Perplexity. Use when the user wants to search the web, look up information, find articles, or query a search engine. |
Requires NINEROUTER_URL (and NINEROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/decolua/9router/refs/heads/master/skills/9router/SKILL.md for setup.
curl $NINEROUTER_URL/v1/models/web | jq '.data[] | select(.kind=="webSearch") | .id'
# Per-provider params (searchTypes, maxResults, required options like cx for google-pse)
curl "$NINEROUTER_URL/v1/models/info?id=tavily/search"
IDs end in /search (e.g. tavily/search). Combos (owned_by:"combo") chain providers with auto-fallback.
POST $NINEROUTER_URL/v1/search
| Field | Required | Notes |
|---|---|---|
model (or provider) | yes | from /v1/models/web (e.g. tavily or brave) |
query | yes | search query |
max_results | no | default 5 |
search_type | no | web (default) / news |
country, language, time_range, domain_filter | no | provider-dependent |
curl -X POST $NINEROUTER_URL/v1/search \
-H "Authorization: Bearer $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"tavily","query":"9Router open source","max_results":5}'
JS:
const r = await fetch(`${process.env.NINEROUTER_URL}/v1/search`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.NINEROUTER_KEY}`, "Content-Type": "application/json" },
body: JSON.stringify({ model: "search-combo", query: "latest LLM benchmarks", max_results: 10 }),
});
console.log(await r.json());
{
"provider": "tavily",
"query": "9Router open source",
"results": [
{
"title": "...", "url": "https://...", "display_url": "github.com/...",
"snippet": "...", "position": 1, "score": 0.92,
"published_at": null, "favicon_url": null, "content": null,
"metadata": { "author": null, "language": null, "source_type": null, "image_url": null },
"citation": { "provider": "tavily", "retrieved_at": "2026-...", "rank": 1 }
}
],
"answer": null,
"usage": { "queries_used": 1, "search_cost_usd": 0.008 },
"metrics": { "response_time_ms": 850, "upstream_latency_ms": 700, "total_results_available": 12 },
"errors": []
}
All accept query + max_results. Optional fields vary:
| Provider | Supports | Required extras |
|---|---|---|
tavily | country, domain_filter, news topic | — |
exa | domain_filter (incl/excl), news category | — |
brave-search | country, language | — |
serper | country, language, news endpoint | — |
perplexity | country, language, domain_filter | — |
linkup | domain_filter, time_range | depth: fast/standard/deep (option) |
google-pse | country, language, time_range, offset | cx required (providerOptions) |
searchapi | country, language, pagination | — |
youcom | country, language, time_range, domain_filter, full_page | — |
searxng | language, time_range | Self-hosted, noAuth |
Provider IS the model — "provider":"tavily" ≡ "model":"tavily".
Fetch URL → markdown / text / HTML via 9Router /v1/web/fetch using Firecrawl / Jina Reader / Tavily Extract / Exa Contents. Use when the user wants to scrape a webpage, extract URL content, read article, or convert a URL to markdown.
Chat / code generation via 9Router using OpenAI /v1/chat/completions or Anthropic /v1/messages format with streaming + auto-fallback combos. Use when the user wants to ask an LLM, generate code, summarize text, or run prompts through 9Router.
Generate vector embeddings via 9Router /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia / GitHub embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
Generate images via 9Router /v1/images/generations using OpenAI / Gemini Imagen / DALL-E / FLUX / MiniMax / SDWebUI / ComfyUI / Codex models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).
Speech-to-text via 9Router /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI / NVIDIA / HuggingFace models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
Text-to-speech via 9Router /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Hyperbolic / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.
