菜单
Fetch URL → markdown / text / HTML via KeiRouter /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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | keirouter-web-fetch |
| description | Fetch URL → markdown / text / HTML via KeiRouter /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. |
Requires KEIROUTER_URL (and KEIROUTER_KEY if auth enabled). See https://raw.githubusercontent.com/mydisha/keirouter/main/skills/keirouter/SKILL.md for setup.
curl $KEIROUTER_URL/v1/models/web | jq '.data[] | select(.kind=="webFetch") | .id'
# Per-provider params
curl "$KEIROUTER_URL/v1/models/info?id=firecrawl/fetch"
IDs end in /fetch (e.g. firecrawl/fetch, jina/fetch). fetch-combo chains providers with auto-fallback.
POST $KEIROUTER_URL/v1/web/fetch
| Field | Required | Notes |
|---|---|---|
model (or provider) | yes | from /v1/models/web (e.g. firecrawl or jina-reader) |
url | yes | URL to extract |
format | no | markdown (default) / text / html |
max_characters | no | truncate output |
curl -X POST $KEIROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"jina-reader","url":"https://example.com","format":"markdown"}'
curl -X POST $KEIROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"firecrawl","url":"https://example.com","format":"markdown","max_characters":0}'
curl -X POST $KEIROUTER_URL/v1/web/fetch \
-H "Authorization: Bearer $KEIROUTER_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"tavily","url":"https://example.com","format":"markdown","max_characters":0}'
JS:
const r = await fetch(`${process.env.KEIROUTER_URL}/v1/web/fetch`, {
method: "POST",
headers: { "Authorization": `Bearer ${process.env.KEIROUTER_KEY}`, "Content-Type": "application/json" },
body: JSON.stringify({ model: "jina-reader", url: "https://example.com", format: "markdown", max_characters: 5000 }),
});
const { data } = await r.json();
console.log(data.title, data.content.length);
{
"provider": "jina-reader",
"url": "...",
"title": "...",
"content": { "format": "markdown", "text": "...", "length": 1234 },
"metadata": { "author": null, "published_at": null, "language": null },
"usage": { "fetch_cost_usd": 0 },
"metrics": { "response_time_ms": 850, "upstream_latency_ms": 700 }
}
| Provider | Auth | Best for |
|---|---|---|
firecrawl | Bearer | JS-rendered pages, format=markdown/html |
jina-reader | Bearer (optional) | Free tier (~1M chars/mo); fastest plain markdown |
tavily | Bearer | Bulk extract; returns raw_content |
exa | x-api-key | Pre-indexed pages; fast text extraction |
Entry point for KeiRouter — local/remote AI gateway with OpenAI-compatible REST for chat, image, TTS, embeddings, web search, web fetch. Use when the user mentions KeiRouter, KEIROUTER_URL, or wants AI without writing provider boilerplate. This skill covers setup + indexes capability skills; fetch the relevant capability SKILL.md from the URLs below when needed.
Chat / code generation via KeiRouter 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 KeiRouter.
Generate vector embeddings via KeiRouter /v1/embeddings using OpenAI / Gemini / Mistral / Voyage / Nvidia embedding models for RAG, semantic search, similarity. Use when the user wants embeddings, vectors, RAG, semantic search, or to embed text.
Generate images via KeiRouter /v1/images/generations using OpenAI DALL-E / Gemini Imagen / FLUX / MiniMax / Stability AI / Fal.ai models. Use when the user wants to create, generate, draw, or render an image, picture, or text-to-image (txt2img).
Speech-to-text via KeiRouter /v1/audio/transcriptions using OpenAI Whisper / Groq / Gemini / Deepgram / AssemblyAI models. Use when the user wants to transcribe audio, convert speech to text, or get subtitles from audio files.
Text-to-speech via KeiRouter /v1/audio/speech using OpenAI / ElevenLabs / Deepgram / Edge TTS / Google TTS / Inworld voices. Use when the user wants to convert text to speech, generate audio, voiceover, narrate, or read text aloud.