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references/api-reference.md
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# Tavily API Reference
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## Overview
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Tavily is a search engine optimized for Large Language Models (LLMs) and AI applications. It provides:
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- **AI-optimized results**: Results specifically formatted for LLM consumption
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- **Answer generation**: Optional AI-generated summaries from search results
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- **Raw content extraction**: Clean, parsed HTML content from sources
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- **Domain filtering**: Include or exclude specific domains
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- **Image search**: Relevant images for visual context
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- **Topic specialization**: General or news-focused search
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## API Key Setup
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1. Visit https://tavily.com and sign up
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2. Generate an API key from your dashboard
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3. Store the key securely:
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- **Recommended**: Add to Clawdbot config under `skills.entries.tavily.apiKey`
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- **Alternative**: Set `TAVILY_API_KEY` environment variable
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## Search Parameters
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### Required
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- `query` (string): The search query
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### Optional
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| Parameter | Type | Default | Description |
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|-----------|------|---------|-------------|
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| `search_depth` | string | `"basic"` | `"basic"` (fast, ~1-2s) or `"advanced"` (comprehensive, ~5-10s) |
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| `topic` | string | `"general"` | `"general"` or `"news"` (current events, last 7 days) |
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| `max_results` | int | 5 | Number of results (1-10) |
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| `include_answer` | bool | true | Include AI-generated answer summary |
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| `include_raw_content` | bool | false | Include cleaned HTML content of sources |
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| `include_images` | bool | false | Include relevant images |
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| `include_domains` | list[str] | null | Only search these domains |
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| `exclude_domains` | list[str] | null | Exclude these domains |
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## Response Format
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```json
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{
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"success": true,
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"query": "What is quantum computing?",
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"answer": "Quantum computing is a type of computing that uses...",
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"results": [
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{
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"title": "Quantum Computing Explained",
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"url": "https://example.com/quantum",
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"content": "Quantum computing leverages...",
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"score": 0.95,
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"raw_content": null
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}
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],
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"images": ["https://example.com/image.jpg"],
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"response_time": "1.67",
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"usage": {
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"credits": 1
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}
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}
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```
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## Use Cases & Best Practices
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### When to Use Tavily
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1. **Research tasks**: Comprehensive information gathering
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2. **Current events**: News-focused queries with `topic="news"`
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3. **Domain-specific search**: Use `include_domains` for trusted sources
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4. **Visual content**: Enable `include_images` for visual context
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5. **LLM consumption**: Results are pre-formatted for AI processing
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### Search Depth Comparison
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| Depth | Speed | Results Quality | Use Case |
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|-------|-------|-----------------|----------|
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| `basic` | 1-2s | Good | Quick lookups, simple facts |
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| `advanced` | 5-10s | Excellent | Research, complex topics, comprehensive analysis |
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**Recommendation**: Start with `basic`, use `advanced` for research tasks.
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### Domain Filtering
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**Include domains** (allowlist):
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```python
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include_domains=["python.org", "github.com", "stackoverflow.com"]
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```
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Only search these specific domains - useful for trusted sources.
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**Exclude domains** (denylist):
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```python
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exclude_domains=["pinterest.com", "quora.com"]
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```
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Remove unwanted or low-quality sources.
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### Topic Selection
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**General** (`topic="general"`):
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- Default mode
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- Broader web search
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- Historical and evergreen content
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- Best for most queries
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**News** (`topic="news"`):
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- Last 7 days only
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- News-focused sources
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- Current events and developments
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- Best for "latest", "recent", "current" queries
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## Cost & Rate Limits
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- **Credits**: Each search consumes credits (1 credit for basic search)
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- **Free tier**: Check https://tavily.com/pricing for current limits
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- **Rate limits**: Varies by plan tier
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## Error Handling
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Common errors:
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1. **Missing API key**
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```json
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{
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"error": "Tavily API key required",
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"setup_instructions": "Set TAVILY_API_KEY environment variable"
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}
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```
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2. **Package not installed**
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```json
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{
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"error": "tavily-python package not installed",
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"install_command": "pip install tavily-python"
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}
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```
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3. **Invalid API key**
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```json
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{
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"error": "Invalid API key"
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}
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```
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4. **Rate limit exceeded**
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```json
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{
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"error": "Rate limit exceeded"
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}
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```
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## Python SDK
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The skill uses the official `tavily-python` package:
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```python
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from tavily import TavilyClient
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client = TavilyClient(api_key="tvly-...")
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response = client.search(
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query="What is AI?",
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search_depth="advanced",
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max_results=10
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)
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```
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Install: `pip install tavily-python`
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## Comparison with Other Search APIs
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| Feature | Tavily | Brave Search | Perplexity |
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|---------|--------|--------------|------------|
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| AI Answer | ✅ Yes | ❌ No | ✅ Yes |
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| Raw Content | ✅ Yes | ❌ No | ❌ No |
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| Domain Filtering | ✅ Yes | Limited | ❌ No |
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| Image Search | ✅ Yes | ✅ Yes | ❌ No |
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| News Mode | ✅ Yes | ✅ Yes | ✅ Yes |
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| LLM Optimized | ✅ Yes | ❌ No | ✅ Yes |
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| Speed | Medium | Fast | Medium |
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| Free Tier | ✅ Yes | ✅ Yes | Limited |
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## Additional Resources
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- Official Docs: https://docs.tavily.com
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- Python SDK: https://github.com/tavily-ai/tavily-python
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- API Reference: https://docs.tavily.com/documentation/api-reference
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- Pricing: https://tavily.com/pricing
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