Agentes de IA: Dominando 3 Patrones Esenciales (Tool Using). Parte 1 de 3

This article explores the "Tool Using" pattern in AI agent development using Python and the Agno framework. This pattern enables LLMs to move beyond text generation to become deterministic reasoning engines by leveraging external tools. The core concept involves the LLM analyzing a user's query and choosing to call a specific function (a tool) if it needs outside information or computation. The LLM creates a "recipe" in JSON for an external program to execute, returning the result back to the LLM. The demonstration involves a SysAdmin bot that uses tools like RAM and CPU metrics. This approach provides real-time access and eliminates mathematical inaccuracies, however, it adds latency. Key technical considerations include security, fault tolerance, and proper function typing for reliable tool usage. The article highlights the importance of precise tool descriptions and managing context window size. It emphasizes the need for cautious tool design to prevent vulnerabilities like prompt injection.