Web search

curl http://localhost:1234/v1/web/search \
  -H "Content-Type: application/json" \
  -d '{"query": "NVIDIA GeForce RTX 5090 memory size", "depth": "quick"}'

import requests

r = requests.post("http://localhost:1234/v1/web/search",
                  json={"query": "NVIDIA GeForce RTX 5090 memory size", "depth": "quick"}).json()
for s in r["sources"]:
    print(f"[{s['index']}] {s['title']} - {s['url']}")
prompt = f"Using these sources:\n{r['context']}\n\nAnswer: how much memory does the RTX 5090 have?"

const r = await (await fetch("http://localhost:1234/v1/web/search", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ query: "NVIDIA GeForce RTX 5090 memory size", depth: "quick" }),
})).json();
r.sources.forEach(s => console.log(`[${s.index}] ${s.title} - ${s.url}`));

{
  "object": "web.search",
  "query": "NVIDIA GeForce RTX 5090 memory size",
  "searched": true,
  "depth": "quick",
  "queries": ["NVIDIA GeForce RTX 5090 memory size specs", "NVIDIA GeForce RTX 5090 memory size"],
  "pages_read": 5,
  "seconds": 6.8,
  "note": null,
  "sources": [
    { "index": 1, "type": "web", "title": "GeForce RTX 5090 Graphics Cards | NVIDIA",
      "url": "https://www.nvidia.com/…", "site": "nvidia.com", "snippet": "32 GB GDDR7 …" }
  ],
  "context": "[1] GeForce RTX 5090 Graphics Cards | NVIDIA / nvidia.com / https://www.nvidia.com/…\n…"
}