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通过inference.sh CLI使用Tavily和Exa进行网页搜索与内容提取。应用包括:Tavily Search、Tavily Extract、Exa Search、Exa Answer、Exa Extract。功能:AI驱动搜索、内容提取、直接答疑、调研。适用场景:调研、RAG流水线、事实核查、内容聚合、Agent。相关触发词:网页搜索、tavily、exa、搜索API、内容提取、调研、互联网搜索、AI搜索、搜索助手、网页抓取、rag、Perplexity替代方案
npx skill4agent add skillssh/skills web-search
需要inference.sh CLI()。安装说明infsh
infsh login
# Search the web
infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}'| 应用 | 应用ID | 描述 |
|---|---|---|
| Search Assistant | | 带答疑功能的AI驱动搜索 |
| Extract | | 从URL提取内容 |
| 应用 | 应用ID | 描述 |
|---|---|---|
| Search | | 带AI的智能网页搜索 |
| Answer | | 直接给出事实性答案 |
| Extract | | 提取并分析网页内容 |
infsh app run tavily/search-assistant --input '{
"query": "What are the best practices for building AI agents?"
}'infsh app run tavily/extract --input '{
"urls": ["https://example.com/article1", "https://example.com/article2"]
}'infsh app run exa/search --input '{
"query": "machine learning frameworks comparison"
}'infsh app run exa/answer --input '{
"question": "What is the population of Tokyo?"
}'infsh app run exa/extract --input '{
"url": "https://example.com/research-paper"
}'# 1. Search for information
infsh app run tavily/search-assistant --input '{
"query": "latest developments in quantum computing"
}' > search_results.json
# 2. Analyze with Claude
infsh app run openrouter/claude-sonnet-45 --input '{
"prompt": "Based on this research, summarize the key trends: <search-results>"
}'# 1. Extract content from URL
infsh app run tavily/extract --input '{
"urls": ["https://example.com/long-article"]
}' > content.json
# 2. Summarize with LLM
infsh app run openrouter/claude-haiku-45 --input '{
"prompt": "Summarize this article in 3 bullet points: <content>"
}'# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# LLM models (combine with search for RAG)
npx skills add inference-sh/skills@llm-models
# Image generation
npx skills add inference-sh/skills@ai-image-generationinfsh app list