vike-web-fetchlisted

# vike-web-fetch ## Command ```bash vike web fetch <url> [--ask "<question>"] [--json] ``` ## Examples ```bash vike web fetch https://example.com/article vike web fetch https://example.com/article --ask "what's the launch date?" vike web fetch https://docs.hyperliquid.xyz/funding --ask "how often does funding settle?" ``` ## Output ```json { "url": "https://...", "content_length": 12345, "content": "First 8K chars of extracted content...", "answer": "Answer to your question if --ask was provided" } ``` If `--ask` is omitted, you get raw extracted content only. ## How it works 1. Tries Tavily's `/extract` endpoint first — returns clean markdown-like text 2. Falls back to raw HTTP GET if Tavily extract is unavailable 3. If `--ask` is provided, sends content + question to Cerebras Llama 3.3 70B for a focused answer ## Why we use Cerebras (not Gemini / OpenAI) Cerebras Llama 3.3 70B is ~10x cheaper than Gemini 2.5 Flash and ~3-5x faster (1000+ tok/sec inference). Same answer quality for short Q&A on supplied content. ## Anti-patterns - Don't fetch pay-walled URLs and expect text — you'll get a paywall page. Cite the URL and tell the user instead. - Don't fetch huge files (PDFs > 10MB, videos) — the extract will be truncated and likely garbage. - Don't ask `--ask` questions the content can't possibly answer — Cerebras will hallucinate. Stay tight to what's on the page. ## Pairs well with - `vike web search` — find URLs to fetch first - `vike-web-research` —