Tavily Search
AI-optimized web search using Tavily API. Designed for AI agents - returns clean, relevant content.
Search
node {baseDir}/scripts/search.mjs "query" --bucket research
node {baseDir}/scripts/search.mjs "query" -n 10 --bucket research
node {baseDir}/scripts/search.mjs "query" --deep --bucket research
node {baseDir}/scripts/search.mjs "query" --topic news --bucket research
Options
-n <count>: Number of results (default: 5, max: 20)--deep: Use advanced search for deeper research (slower, more comprehensive)--topic <topic>: Search topic -general(default) ornews--days <n>: For news topic, limit to last n days--bucket <name>: Which monthly budget bucket to charge —brief/report/intraday/research/extract/default. Ad-hoc/manual research uses--bucket research. Omitting it charges the smalldefaultbucket (60/mo), which is exhausted quickly on purpose.
Budget (免费档 1000 credits/月, 全局共享)
basic 搜索 1 credit,--deep 2,extract 1/5 URL。硬护栏在 lib/ledger.mjs(本地月度账本,reservation 式扣费,超限 exit 0 优雅降级返回 "unavailable" — 别当报错,退回内置搜索)。账本在仓库外 /root/.openclaw/tavily-credit-ledger.json;查真实账单:curl -H "Authorization: Bearer $TAVILY_API_KEY" https://api.tavily.com/usage(注意有延迟,不能当实时闸)。
Extract content from URL
node {baseDir}/scripts/extract.mjs "https://example.com/article" --bucket extract
--bucket works the same as for search (charges that monthly bucket; omit → default). extract costs 1 credit per 5 URLs.
Notes:
- Needs
TAVILY_API_KEYfrom https://tavily.com - Tavily is optimized for AI - returns clean, relevant snippets
- Use
--deepfor complex research questions - Use
--topic newsfor current events