LangGraph Wizard-AI workflow and agent builder

LangGraph Wizard: Introduction and Design Purpose

LangGraph Wizard is a guided assistant tailored to simplify the creation, orchestration, and optimization of LangGraph agents—multi-step workflows for language model-based applications. Its design is centered around modularity, clarity, and extensibility. It helps developers and researchers break down complex agentic problems into structured, node-based workflows. Each node represents a unit of computation (e.g., LLM call, tool invocation), and transitions between nodes model decision-making or control logic. For example, a support chatbot might start with a 'chatbot' node that handles user queries. If it encounters a tool invocation (like web search), it conditionally transitions to a 'tools' node, runs the search, then loops back to the chatbot. LangGraph Wizard helps implement these flows while enabling state management, tool integration, and human-in-the-loop interactions. Use Case: Building a support chatbot that answers FAQs, escalates edge cases to human reviewers, and maintains stateful conversation across sessions. LangGraph Wizard guides users through defining graph nodes, setting routing logic, integrating search toolsJSON Code Correction, and persisting state using checkpointers.