- name
- tavily-search
- description
- Web search and data retrieval via Tavily API. Use when you need to search the web, get news, find answers, or look up sources. Supports 5 modes: search (general), news (fresh headlines), qna (Q&A), images, and context. Returns structured results with title, URL, snippet, and optional AI answer summary.
Tavily Search — Enhanced Edition
Tavily is a search API optimized for AI applications — returns structured results with relevance scores and optional AI-generated summaries.
Quick Start
# Standard search (default, 5 results, ~brave format)
python3 {baseDir}/scripts/tavily_search.py --query "..." --format md
# Include AI short answer
python3 {baseDir}/scripts/tavily_search.py --query "..." --include-answer
# Advanced search (higher quality, slower)
python3 {baseDir}/scripts/tavily_search.py --query "..." --search-depth advancedOutput Formats
| Format | Description | Best For |
|---|---|---|
--format md | Human-readable Markdown | Direct user display |
--format brave | title/url/snippet JSON | Structured processing (default) |
--format raw | Full JSON with all fields | Debugging / advanced use |
Modes
--mode search (default)
General web search. Good for research, finding links, fact-checking.
python3 {baseDir}/scripts/tavily_search.py --query "OpenAI GPT-5 release" --mode search--mode news
Fresh news headlines (past N days). Good for current events, breaking news.
python3 {baseDir}/scripts/tavily_search.py --query "US Iran war" --mode news --days 7--mode qna
Direct Q&A — asks Tavily to answer a specific question from web sources.
python3 {baseDir}/scripts/tavily_search.py --query "What happened at Nvidia GTC 2026?" --mode qna--mode images
Image search results.
python3 {baseDir}/scripts/tavily_search.py --query "Tesla Cybertruck" --mode images--mode context
Research-oriented — includes related topics, better for deep dives.
python3 {baseDir}/scripts/tavily_search.py --query "Claude AI agent architecture" --mode contextCommon Options
| Flag | Default | Description |
|---|---|---|
--max-results N | 5 | Number of results (max 10) |
--include-answer | off | Add AI-generated short answer |
--search-depth | basic | basic (fast) or advanced (better quality) |
--days N | 3 | Freshness for news mode (1-7) |
--domains | none | Restrict to domain(s), e.g. --domains reuters.com bbc.com |
Environment Variables
| Variable | Description |
|---|---|
TAVILY_API_KEY | API key (from tavily.io) |
TAVILY_SEARCH_DEPTH | Default: basic or advanced |
Examples
# Quick fact-check
python3 {baseDir}/scripts/tavily_search.py --query "Charlie Kirk death September 2025" --include-answer
# Latest news on a topic
python3 {baseDir}/scripts/tavily_search.py --query "AI agents March 2026" --mode news --days 7 --format md
# Deep research with related topics
python3 {baseDir}/scripts/tavily_search.py --query "Claude Opus 4.6 capabilities" --mode context --search-depth advanced
# Domain-restricted search
python3 {baseDir}/scripts/tavily_search.py --query "China EV market 2026" --domains reuters.com bloomberg.comNotes
- Keep
--max-resultssmall (3–5) by default to reduce token/reading load - Prefer
--format mdwhen displaying results directly to users - Use
--include-answerfor quick summaries without reading all results - Dev plan: 1000 searches/month. Pro plan: unlimited.