Understanding Agent Tools: A Technical Overview
A deep dive into the tools that power autonomous agents, from web search to code execution and vector RAG.
Tool Architecture
Each tool in Natuleadan is implemented as a modular plugin that extends the agent’s capabilities. Tools are registered at initialization and called dynamically based on the agent’s reasoning.
Web Search Tool
The Web Search tool uses a combination of search APIs and web scraping to retrieve real-time information. The agent formulates queries, fetches results, and synthesizes findings into actionable insights.
Code Execution Tool
Code execution runs inside isolated sandboxes powered by Upstash Box. Each sandbox is ephemeral, secure, and supports Python, JavaScript, and TypeScript. The agent can install packages, process data, and return results.
RAG Tool
Retrieval Augmented Generation uses Qdrant vector databases to store and query document embeddings. The agent can index documents and perform semantic searches, retrieving relevant context for its tasks.
File Processing Tool
Agents can read and extract content from PDF, DOCX, images, and audio files. Processing happens server-side with content extracted into the agent’s context window.