Web Search

--- name: web-search description: "Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative" allowed-tools: Bash(belt *) --- > **Install the belt CLI skill:** `npx skills add belt-sh/cli` # Web Search & Extraction Search the web and extract content via [inference.sh](https://inference.sh) CLI.  ## Quick Start > Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md) ```bash belt login # Search the web belt app run tavily/search-assistant --input '{"query": "latest AI developments 2024"}' ``` ## 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 belt 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 belt 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 belt app run exa/search --input '{ "query": "machine learning frameworks comparison" }' ``` Returns highly relevant links with context. ### Exa Answer ```bash belt app run exa/answer --input '{ "question": "What is the population of Tokyo?" }' ``` Returns direct factual answers. ### Exa Extract ```bash belt 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 belt app run tavily/search-assistant --input '{ "query": "latest developments in quantum computing" }' > search_results.json # 2. Analyze with Claude belt app run openrouter/claude-sonnet-45 --input '{ "prompt": "Based on this research, summarize the key trends: " }' ``` ## Workflow: Extract + Summarize ```bash # 1. Extract content from URL belt app run tavily/extract --input '{ "urls": ["https://example.com/long-article"] }' > content.json # 2. Summarize with LLM belt app run openrouter/claude-haiku-45 --input '{ "prompt": "Summarize this article in 3 bullet points: " }' ``` ## 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 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-generation ``` Browse all apps: `belt 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