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When NOT to search: Skip search for well-established facts your training covers reliably (e.g. "what is a list comprehension"). Search when the answer may have changed, when you need citable sources, or when the user explicitly asks you to look something up.
无需搜索的场景:如果你的训练知识已可靠覆盖既定事实(例如“什么是列表推导式”),则无需搜索。当答案可能已更新、你需要可引用的来源,或用户明确要求你查询信息时,再进行搜索。
| Tool | Best for | Latency | Caching |
|---|---|---|---|
| URLs, snippets, news, source discovery | Fast | 5 min (query string only) |
| Deep questions, academic, analysis, how-to | Slow (≤30s) | 5 min (query+mode+detail) |
| Conversational synthesis, fallback | Slow (≤60s) | None — every call hits the API |
| 工具 | 适用场景 | 响应延迟 | 缓存机制 |
|---|---|---|---|
| URL、网页片段、新闻、来源查找 | 快速 | 5分钟(仅基于查询字符串) |
| 深度问题、学术研究、分析、操作指南 | 缓慢(≤30秒) | 5分钟(基于查询+模式+细节程度) |
| 对话式合成结果、备选方案 | 缓慢(≤60秒) | 无缓存 — 每次调用都会请求API |
ddg-search_web-searchddg-search_web-searchquerymode"short""detailed""short""detailed"numResults⚠️ Cache footgun: The cache key is the query string only. If you runthenweb-search(query="X", mode="short")within 5 minutes, you'll get the cached short results. Requestweb-search(query="X", mode="detailed")on the first call. To bust the cache, slightly rephrase the query. To read a single URL directly, use themode="detailed"tool instead.webfetch
querymode"short""detailed""short""detailed"numResults⚠️ 缓存陷阱:缓存键仅为查询字符串。如果在5分钟内先调用,再调用web-search(query="X", mode="short"),你将获取缓存的简短结果。 首次调用时请指定web-search(query="X", mode="detailed")。若要绕过缓存,可稍微改写查询词。如果要直接读取单个URL,使用mode="detailed"工具替代。webfetch
ddg-search_iask-searchddg-search_iask-searchquerymode"thinking""question""academic""forums""wiki""thinking"detailLevel"concise""detailed""comprehensive"querymode"thinking""question""academic""forums""wiki""thinking"detailLevel"concise""detailed""comprehensive"ddg-search_monica-searchddg-search_monica-searchqueryiask-searchRate limiting: Monica enforces a 429 rate limit — space out repeated Monica calls. No caching — every call hits the API.
queryiask-search速率限制:Monica会触发429请求超限限制 — 请间隔重复调用Monica的时间。 无缓存 — 每次调用都会请求API。
ddg-search_web-search(query="...", numResults=5)ddg-search_web-search(query="...", numResults=5)ddg-search_iask-search(query="...", mode="thinking", detailLevel="comprehensive")
ddg-search_web-search(query="...", numResults=5)
webfetch(url="https://...")ddg-search_iask-search(query="...", mode="thinking", detailLevel="comprehensive")
ddg-search_web-search(query="...", numResults=5)
webfetch(url="https://...")ddg-search_web-search(query="... site:reuters.com OR site:bbc.com", mode="detailed", numResults=5)ddg-search_web-search(query="... site:reuters.com OR site:bbc.com", mode="detailed", numResults=5)ddg-search_iask-search(query="...", mode="academic", detailLevel="detailed")ddg-search_iask-search(query="...", mode="academic", detailLevel="detailed")ddg-search_iask-search(query="...", mode="forums", detailLevel="detailed")ddg-search_iask-search(query="...", mode="forums", detailLevel="detailed")iask-searchweb-searchmonica-searchweb-searchiask-searchweb-searchmonica-searchweb-searchDeepSeek R1 achieved 79.8% on AIME 2024, matching OpenAI o1 (Epoch AI). Supabase Pro costs $25/month and includes auth, storage, and realtime (Supabase Pricing).
DeepSeek R1 achieved 79.8% on AIME 2024. ... Sources: Epoch AI, Supabase Pricing
DeepSeek R1在2024年AIME中取得79.8%的成绩,与OpenAI o1持平(Epoch AI)。 Supabase Pro每月费用25美元,包含身份验证、存储和实时功能(Supabase定价)。
DeepSeek R1在2024年AIME中取得79.8%的成绩。 ... 来源:Epoch AI、Supabase定价
"Python asyncio error handling 2024""Python async""model collapse" definition"2025""latest"query site:docs.python.org"X vs Y"web-searchiask-searchmode="thinking""Python asyncio error handling 2024""Python async""model collapse" definition"2025""latest"query site:docs.python.orgweb-search"X vs Y"iask-searchmode="thinking"