from exa_py import Exa

exa = Exa(api_key="your-exa-api-key")

# Semantic search (not keyword search)
results = exa.search(
    "Latest breakthroughs in protein folding AI research",
    num_results=5,
    use_autoprompt=True # Automatically optimize queries
)

for result in results.results:
    print(f"Title: {result.title}")
    print(f"URL: {result.url}")
    print(f"Published time: {result.published_date}")
    print()

from exa_py import Exa

exa = Exa(api_key="your-exa-api-key")

# Search and get complete content
results = exa.search_and_contents(
    "AI regulation in Europe 2025",
    num_results=3,
    text=True, # Get the text of the article
    highlights=True, # Get key fragments
    start_published_date="2025-01-01" # Only content after 2025
)

for result in results.results:
    print(f"Title: {result.title}")
    print(f"Content summary: {result.text[:500]}...")
    print()

from langchain.tools import tool
from exa_py import Exa

exa = Exa(api_key="your-exa-key")

@tool
def search_web(query: str) -> str:
    """Search the web for the latest information"""
    results = exa.search_and_contents(
        query,
        num_results=3,
        text=True,
        start_published_date="2024-01-01"
    )
    
    output = ""
    for r in results.results:
        output += f"Source: {r.url}\n"
        output += f"Content: {r.text[:1000]}\n\n"
    return output

# Add the search_web tool to the Agent's tool list