tavily-best-practices

Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research. Tavily is a search API designed for LLMs, enabling AI applications to access real-time web data. Python: JavaScript: See references/sdk.md for complete SDK reference. For custom agents/workflows: For out-of-the-box research: Key parameters: query , max_results , search_depth (ultra-fast/fast/basic/advanced), include_domains , exclude_domains , time_range See references/search.md for complete search reference. Key parameters: urls (max 20), extract_depth , query , chunks_per_source (1-5) See references/extract.md for complete extract reference. Key parameters: url , max_depth , max_breadth , limit , instructions , chunks_per_source , select_paths , exclude_paths See references/crawl.md for complete crawl reference. Key parameters: input , model ("mini"/"pro"/"auto"), stream , output_schema , citation_format See references/research.md for complete research reference. For complete parameters, response fields, patterns, and examples: - Five core methods: search() for web results, extract() for URL content, crawl() for site-wide extraction, map() for URL discovery, and research() for end-to-end AI synthesis - Supports Python and JavaScript SDKs with async clients for parallel queries and configurable search depth (ultra-fast/fast/basic/advanced) - Crawl method accepts...