In this tutorial, we explore how to build a fully offline, multi-step reasoning agent that uses the Instructor library to generate structured outputs and reliably orchestrate complex tool calls. In this implementation, we design an agent capable of choosing the right tool, validating inputs, planning multi-stage workflows, and recovering from errors. We bring together Instructor, […] The post How to Build a Fully Offline Multi-Tool Reasoning Agent with Dynamic Planning, Error Recovery, and Intelligent Function Routing appeared first on MarkTechPost .