AI Agents · Lesson

Tavily and SerpAPI for Agent Search

API setup, query construction, and result parsing for web-search tools.

Why Agents Need Web Search

LLMs have a knowledge cutoff date. For questions about current events, live prices, recent news, or fast-changing topics, the model's training data is stale.

Web search tools like Tavily and SerpApi give agents real-time access to the internet, bridging the gap between static training data and current reality.

Tavily: Purpose-Built for AI Agents

Tavily is a search API designed specifically for AI agents. Unlike general web scraping, it returns clean, structured results with pre-extracted content — no HTML parsing needed.

Install with pip install tavily-python. Get an API key at tavily.com.

from tavily import TavilyClient
import os

client = TavilyClient(api_key=os.getenv('TAVILY_API_KEY'))

results = client.search(
    query='latest OpenAI GPT-5 release date',
    max_results=5
)

for r in results['results']:
    print(r['title'])
    print(r['url'])
    print(r['content'][:200])
    print('---')

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