tavily

Q: How do I install tavily?

Run npx skills add https://github.com/itechmeat/llm-code --skill tavily in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tavily/ (personal) or .claude/skills/tavily/ (project).

by itechmeatAI & Agents

Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python.

Installs: 39
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/itechmeat/llm-code --skill tavily

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads tavily automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Tavily

AI-optimized search engine for building LLM applications with real-time web data.

Quick Navigation

Topic	Reference
REST API	api.md
Python SDK	python.md
JavaScript SDK	javascript.md
Best Practices	best-practices.md
Integrations	integrations.md

When to Use

Building RAG applications with real-time web data
AI agents that need current information
Content extraction from web pages
Site crawling with AI-guided instructions
Autonomous research tasks

Installation

Install: pip install tavily-python (Python) or npm i @tavily/core (JavaScript).

Quick Start

Python

from tavily import TavilyClient

client = TavilyClient(api_key="tvly-YOUR_API_KEY")
response = client.search("What is the latest news about AI?")
print(response)

JavaScript

import { tavily } from "@tavily/core";

const client = tavily({ apiKey: "tvly-YOUR_API_KEY" });
const response = await client.search("What is the latest news about AI?");
console.log(response);

cURL

curl -X POST https://api.tavily.com/search \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer tvly-YOUR_API_KEY" \
  -d '{"query": "What is the latest news about AI?"}'

Core APIs

API	Purpose	Credits
Search	Web search optimized for LLMs	1-2 per request
Extract	Extract content from URLs	1-2 per 5 URLs
Map	Map website structure	1-2 per 10 pages
Crawl	Crawl + extract from sites	Map + Extract
Research	Autonomous deep research (beta)	4-250 per task

Pricing & Credits

Free tier: 1,000 credits/month (no credit card required)

Plan	Credits/month	Price/credit
Researcher	1,000	Free
Project	4,000	$0.0075
Bootstrap	15,000	$0.0067
Startup	38,000	$0.0058
Growth	100,000	$0.005
Pay-as-go	Per usage	$0.008

Credit Costs

API	Basic	Advanced
Search	1	2
Extract	1/5 URLs	2/5 URLs
Map	1/10 pages	2/10 pages
Crawl	Map + Extract costs
Research (mini)	4-110	-
Research (pro)	15-250	-

Rate Limits

Environment	RPM (requests/min)
Development	100
Production	1,000

Note: Crawl endpoint limited to 100 RPM for both environments.

Production keys require paid plan or PAYGO enabled.

Search API

Primary endpoint for LLM-optimized web search.

response = client.search(
    query="Latest AI developments",
    search_depth="advanced",      # "basic" (1 credit) or "advanced" (2 credits)
    max_results=10,               # 1-20 results
    include_answer=True,          # Include AI-generated answer
    include_raw_content=False,    # Include raw HTML
    include_domains=["arxiv.org"],  # Filter to specific domains
    exclude_domains=["pinterest.com"]  # Exclude domains
)

Response Structure

{
    "query": "...",
    "answer": "AI-generated summary...",  # if include_answer=True
    "results": [
        {
            "title": "Page Title",
            "url": "https://...",
            "content": "Extracted relevant content...",
            "score": 0.95,
            "raw_content": "..."  # if include_raw_content=True
        }
    ]
}

Extract API

Extract content from specific URLs.

response = client.extract(
    urls=["https://example.com/article1", "https://example.com/article2"],
    extract_depth="basic"  # "basic" or "advanced"
)

Crawl API

Crawl websites with AI-guided instructions.

response = client.crawl(
    url="https://docs.example.com",
    instructions="Find all pages about Python SDK",  # Optional AI guidance
    max_depth=2,
    limit=50
)

Map API

Get website structure without extracting content.

response = client.map(
    url="https://docs.example.com",
    instructions="Find documentation pages"  # Optional
)

Research API (Beta)

Autonomous deep research on complex topics.

response = client.research(
    input="What are the implications of quantum computing on cryptography?",
    model="pro"  # "pro" (15-250 credits) or "mini" (4-110 credits)
)

Why Tavily?

Feature	Traditional Search	Tavily
Output	URLs + snippets	Full content
Scraping	Manual	Built-in
LLM optimization	None	Purpose-built
Filtering	Manual	AI-powered
Context limits	Not handled	Optimized

Best Practices

Use search_depth="basic" for simple queries (saves credits)
Use include_answer=True for quick summaries
Filter domains to improve relevance
Use Extract when you know specific URLs
Use Research for complex, multi-step queries
Use Python keyless mode only for trials; it supports search() and extract() only and remains rate-limited

Prohibitions

Do not expose API keys in client-side code
Do not exceed rate limits (implement backoff)
Do not scrape sites that block Tavily crawler
API Playground
Documentation
Community

FAQ

What does the tavily skill do?

How do I install tavily?

Run npx skills add https://github.com/itechmeat/llm-code --skill tavily in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/tavily/ (personal) or .claude/skills/tavily/ (project).

Which AI agents can use tavily?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is tavily safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains tavily?

It is published by itechmeat in itechmeat/llm-code. It has 39 recorded installs.

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tavily

Install

Install

Describe the task

Review the result

SKILL.md

Tavily

Links

Quick Navigation

When to Use

Installation

Quick Start

Python

JavaScript

cURL

Core APIs

Pricing & Credits

Credit Costs

Rate Limits

Search API

Response Structure

Extract API

Crawl API

Map API

Research API (Beta)

Why Tavily?

Best Practices

Prohibitions

FAQ

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