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import os
from datetime import datetime
from dotenv import load_dotenv
from tavily import TavilyClient
from tools.base_tool import BaseTool
load_dotenv()
class WebSearchTool(BaseTool):
"""A tool for performing web searches using the Tavily API."""
def __init__(self):
super().__init__(
name="web_search",
description=(
"Use this tool to find up-to-date or real-time information from the web. "
"Best for current events, recent news, trending topics, or anything not covered in internal documents or Wikipedia. "
"Input should be a full natural-language query, e.g., 'Champion of the 2024 Champions League'."
)
)
self.api_key = os.getenv("TAVILY_API_KEY")
if not self.api_key:
raise ValueError("Missing API Key: Please set 'TAVILY_API_KEY' in the .env file.")
self.tavily_client = TavilyClient(api_key=self.api_key)
def run(self, query: str) -> str:
"""Performs a web search for a given query and returns summarized results as a string."""
if not query or not query.strip():
return "Error: Query cannot be empty."
# Append today's date to guide LLM reasoning
today = datetime.now().strftime("%Y-%m-%d")
query_with_date = f"(Today is {today}) {query}"
try:
search_results = self.tavily_client.search(query=query_with_date, max_results=2)
if not search_results or "results" not in search_results:
return "Error: No search results available."
results = search_results["results"]
if not results:
return "Error: No results found."
# Format the top results as a readable string
formatted = []
for i, result in enumerate(results, start=1):
title = result.get("title", "No title")
content = result.get("content", "No content")
url = result.get("url", "No URL")
formatted.append(f"{i}. **{title}**\n{content}\n🔗 {url}")
return "\n\n".join(formatted)
except Exception as e:
return f"Error: Search request failed: {str(e)}"
# === For standalone testing ===
if __name__ == "__main__":
queries = ["F1 winner 2024"]
web_search_tool = WebSearchTool()
for query in queries:
results = web_search_tool.run(query)
if results:
print(f"Context for '{query}':")
for res in results:
print(res)
print("\n")
else:
print(f"No context found for '{query}'\n") |