Query Tavily's API for live web search results with sources.
npx skills add https://github.com/vm0-ai/vm0-skills --skill tavily
Please help me install this Agent Skill. Skill: tavily Source: https://github.com/vm0-ai/vm0-skills/tree/main/tavily Command: npx skills add https://github.com/vm0-ai/vm0-skills --skill tavily
This Skill provides live web search results to ground LLMs and agents with current sources and citations.
curl -s -X POST "https://api.tavily.com/search" -H "Authorization: Bearer ${TAVILY_API_KEY}" -H "Content-Type: application/json" -d '{"query":"AI trends 2025","search_depth":"basic","max_results":5}' | jq .
High-intent search queries and answers about installing and using this skill.
Live web search integrates fresh, current information into retrieval-augmented generation by querying Tavily's API with your search query, returning ranked results with sources and links ready to ground LLM responses with verified citations.
Yes, web search works with agents and automation by issuing POST requests to Tavily's API endpoint, accepting parameters like query, search_depth, max_results, and domain filters to retrieve current information for decision-making and task execution.
Web search returns ranked results with source URLs, snippets, and optionally raw content, enabling LLMs to cite verified references and ground answers in current facts rather than training data alone.
Configure the API request with include_domains and exclude_domains parameters to target specific sources, and set search_depth to basic or advanced for faster results or comprehensive coverage across the web.
Yes, provide your Tavily API key via the TAVILY_API_KEY environment variable in POST requests to authenticate and access live search results.
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