LangGraph Orchestration — State Machine Agent Workflow Build

I will build a LangGraph-based agent orchestration system — implementing your agent workflow as a directed graph with nodes representing agent actions or LLM calls, edges defining conditional routing between nodes, and state management persisting context across the full graph execution. LangGraph's graph-based orchestration provides precise control over agent execution flow that sequential or hierarchical frameworks don't — conditional routing based on intermediate results, cycle detection for iterative refinement loops, and explicit state schema definition that makes the orchestration logic visible and auditable.

The build covers graph topology design for your workflow, node implementation for each agent action, conditional edge routing logic, state schema definition, checkpoint persistence for long-running workflows, and a streaming execution mode for real-time output delivery.