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| import os | |
| from tavily import TavilyClient | |
| from langchain_core.tools import tool | |
| def perform_research(topic: str): | |
| """ | |
| Searches the web for recent news using Tavily. | |
| """ | |
| api_key = os.getenv("TAVILY_API_KEY") | |
| if not api_key: | |
| return "Error: TAVILY_API_KEY not found." | |
| client = TavilyClient(api_key=api_key) | |
| try: | |
| # Search specifically for news | |
| response = client.search(query=topic, topic="news", days=2) | |
| results = response.get("results", []) | |
| context = [] | |
| for r in results[:4]: | |
| context.append(f"Title: {r['title']}\nURL: {r['url']}\nSummary: {r['content']}") | |
| return "\n\n".join(context) | |
| except Exception as e: | |
| return f"Search failed: {str(e)}" | |