0aff31e2d3
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
960 B
960 B
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Ejemplo: Agente con Tavily Search
import { createAgent } from "langchain";
import { TavilySearchResults } from "@langchain/community/tools/tavily_search";
const searchTool = new TavilySearchResults({ apiKey: process.env.TAVILY_API_KEY, maxResults: 5 });
const agent = createAgent({
model: "openai:gpt-4.1-mini",
tools: [searchTool],
});
const result = await agent.invoke({
messages: [{ role: "user", content: "¿Cuales son las ultimas noticias sobre IA?" }],
});
Tavily - Optimizado para LLMs: extrae contenido relevante, filtra anuncios/ruido, API key gratuita limitada