web-search

# Web Search & Extraction Search the web and extract content via [inference.sh](https://inference.sh) CLI.  ## Quick Start ```bash curl -fsSL https://cli.inference.sh | sh && infsh login # Search the web infsh app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}' ``` > **Install note:** The [install script](https://cli.inference.sh) only detects your OS/architecture, downloads the matching binary from `dist.inference.sh`, and verifies its SHA-256 checksum. No elevated permissions or background processes. [Manual install & verification](https://dist.inference.sh/cli/checksums.txt) available. ## Available Apps ### Tavily | App | App ID | Description | |-----|--------|-------------| | Search Assistant | `tavily/search-assistant` | AI-powered search with answers | | Extract | `tavily/extract` | Extract content from URLs | ### Exa | App | App ID | Description | |-----|--------|-------------| | Search | `exa/search` | Smart web search with AI | | Answer | `exa/answer` | Direct factual answers | | Extract | `exa/extract` | Extract and analyze web content | ## Examples ### Tavily Search ```bash infsh app run tavily/search-assistant --input '{ "query": "What are the best practices for building AI agents?" }' ``` Returns AI-generated answers with sources and images. ### Tavily Extract ```bash infsh app run tavily/extract --input '{ "urls": ["https://example.com/article1", "https://example.com/article2"] }' ``` Extracts clean text and images from multiple URLs. ### Exa Search ```bash infsh app run exa/search --input '{ "query": "machine learning frameworks comparison" }' ``` Returns highly relevant links with context. ### Exa Answer ```bash infsh app run exa/answer --input '{ "question": "What is the population of Tokyo?" }' ``` Returns direct factual answers. ### Exa Extract ```bash infsh app run exa/extract --input '{ "url": "https://example.com/research-paper" }' ``` Extracts and analyzes web page content. ## Workflow: Research + LLM ```bash # 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>" }' ``` ## Workflow: Extract + Summarize ```bash # 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>" }' ``` ## Use Cases - **Research**: Gather information on any topic - **RAG**: Retrieval-augmented generation - **Fact-checking**: Verify claims with sources - **Content aggregation**: Collect data from multiple sources - **Agents**: Build research-capable AI agents ## Related Skills ```bash # Full platform skill (all 150+ apps) npx skills add inference-sh/skills@inference-sh # 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-generation ``` Browse all apps: `infsh app list` ## Documentation - [Adding Tools to Agents](https://inference.sh/docs/agents/adding-tools) - Equip agents with search - [Building a Research Agent](https://inference.sh/blog/guides/research-agent) - LLM + search integration guide - [Tool Integration Tax](https://inference.sh/blog/tools/integration-tax) - Why pre-built tools matter