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Web search via ExtremeRouter /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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
AI Gateway routing, provider management, and core engine expertise for ExtremeRouter. Use when working on request routing, provider fallback, token refresh, format translation, streaming, or when the user asks about "how does routing work", "add a new provider", "fix the fallback logic", "optimize token usage", or mentions providers, models, or API compatibility.
Code refactoring, tech debt cleanup, and code review expertise for ExtremeRouter. Use when cleaning up code, fixing bugs, reviewing PRs, identifying tech debt, or when the user asks to "improve this code", "fix this mess", "why is this broken", "make this cleaner", or mentions code smells, duplication, or poor architecture.
UI/UX design and page redesign expertise for ExtremeRouter dashboard. Use when redesigning pages, creating new UI components, improving visual hierarchy, or when the user mentions design, layout, styling, or user experience. Also use when the user asks to "make it look better", "improve the dashboard", "redesign this page", or complains about "AI slop" aesthetics.
Chat / code generation via ExtremeRouter 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 ExtremeRouter.
Generate vector embeddings via ExtremeRouter /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 ExtremeRouter /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).
| name | extremerouter-web-search |
| description | Web search via ExtremeRouter /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/rsalmn/extremerouter/refs/heads/master/skills/extremerouter/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 $NINEROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"tavily","query":"ExtremeRouter open source","max_results":5}'
JS:
const r = await fetch(`${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": "ExtremeRouter 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".