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Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
---
name: tavily-search-1103225d0fa1
description: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
homepage: https://tavily.com
metadata: {"clawhub":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}
---
# Tavily Search
Search the web and get relevant results optimized for LLM consumption.
## Authentication
Get your API key at https://tavily.com and add to your OpenClaw config:
```json
{
"skills": {
"entries": {
"tavily-search": {
"enabled": true,
"apiKey": "tvly-YOUR_API_KEY_HERE"
}
}
}
}
```
Or set the environment variable:
```bash
export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"
```
## Quick Start
### Using the Script
```bash
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
```
### Examples
```bash
# Basic search
node {baseDir}/scripts/search.mjs "python async patterns"
# With more results
node {baseDir}/scripts/search.mjs "React hooks tutorial" -n 10
# Advanced search
node {baseDir}/scripts/search.mjs "machine learning" --deep
# News search
node {baseDir}/scripts/search.mjs "AI news" --topic news
# Domain-filtered search
node {baseDir}/scripts/search.mjs "Python docs" --include-domains docs.python.org
```
## Options
| Option | Description | Default |
|--------|-------------|---------|
| `-n <count>` | Number of results (1-20) | 10 |
| `--depth <mode>` | Search depth: `ultra-fast`, `fast`, `basic`, `advanced` | `basic` |
| `--topic <topic>` | Topic: `general` or `news` | `general` |
| `--time-range <range>` | Time range: `day`, `week`, `month`, `year` | - |
| `--include-domains <domains>` | Comma-separated domains to include | - |
| `--exclude-domains <domains>` | Comma-separated domains to exclude | - |
| `--raw-content` | Include full page content | false |
| `--json` | Output raw JSON | false |
## Search Depth
| Depth | Latency | Relevance | Use Case |
|-------|---------|-----------|----------|
| `ultra-fast` | Lowest | Lower | Real-time chat, autocomplete |
| `fast` | Low | Good | Need chunks but latency matters |
| `basic` | Medium | High | General-purpose, balanced |
| `advanced` | Higher | Highest | Precision matters, research |
## Tips
- **Keep queries under 400 characters** - Think search query, not prompt
- **Break complex queries into sub-queries** - Better results than one massive query
- **Use `--include-domains`** to focus on trusted sources
- **Use `--time-range`** for recent information
- **Filter by `score`** (0-1) to get highest relevance results---
name: tavily-search-1103225d0fa1
description: Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata.
homepage: https://tavily.com
metadata: {"clawhub":{"emoji":"🔍","requires":{"bins":["node"],"env":["TAVILY_API_KEY"]},"primaryEnv":"TAVILY_API_KEY"}}
---
# Tavily Search
Search the web and get relevant results optimized for LLM consumption.
## Authentication
Get your API key at https://tavily.com and add to your OpenClaw config:
```json
{
"skills": {
"entries": {
"tavily-search": {
"enabled": true,
"apiKey": "tvly-YOUR_API_KEY_HERE"
}
}
}
}
```
Or set the environment variable:
```bash
export TAVILY_API_KEY="tvly-YOUR_API_KEY_HERE"
```
## Quick Start
### Using the Script
```bash
node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news
```
### Examples
```bash
# Basic search
node {baseDir}/scripts/search.mjs "python async patterns"
# With more results
node {baseDir}/scripts/search.mjs "React hooks tutorial" -n 10
# Advanced search
node {baseDir}/scripts/search.mjs "machine learning" --deep
# News search
node {baseDir}/scripts/search.mjs "AI news" --topic news
# Domain-filtered search
node {baseDir}/scripts/search.mjs "Python docs" --include-domains docs.python.org
```
## Options
| Option | Description | Default |
|--------|-------------|---------|
| `-n <count>` | Number of results (1-20) | 10 |
| `--depth <mode>` | Search depth: `ultra-fast`, `fast`, `basic`, `advanced` | `basic` |
| `--topic <topic>` | Topic: `general` or `news` | `general` |
| `--time-range <range>` | Time range: `day`, `week`, `month`, `year` | - |
| `--include-domains <domains>` | Comma-separated domains to include | - |
| `--exclude-domains <domains>` | Comma-separated domains to exclude | - |
| `--raw-content` | Include full page content | false |
| `--json` | Output raw JSON | false |
## Search Depth
| Depth | Latency | Relevance | Use Case |
|-------|---------|-----------|----------|
| `ultra-fast` | Lowest | Lower | Real-time chat, autocomplete |
| `fast` | Low | Good | Need chunks but latency matters |
| `basic` | Medium | High | General-purpose, balanced |
| `advanced` | Higher | Highest | Precision matters, research |
## Tips
- **Keep queries under 400 characters** - Think search query, not prompt
- **Break complex queries into sub-queries** - Better results than one massive query
- **Use `--include-domains`** to focus on trusted sources
- **Use `--time-range`** for recent information
- **Filter by `score`** (0-1) to get highest relevance resultsImported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.