Workflow State Graph

Data artifactOrchestrationOrchestration & Toolsarc:WorkflowStateGraph

A declarative workflow definition specifying nodes (states), edges and conditional edges (transitions), and entry point, kept separate from the state schema it operates on.

Responsibility. Declares the permissible states and transitions of a workflow.

Also known as: State machine definition, Logic tree, Graph structure, Decision tree graph, Graph of nodes, static edges and conditional edges

Direct neighbourhood (hover for relationship types)

Relationships

configures structural

Oversight Gate abstract Ch10.2
State-Graph Orchestrator Ch1.5A Ch1.5B +4

Design guidance

SHOULD define routing on edges separately from node functions so control flow is explicit and analyzable.
SHOULD be the source from which workflow visualisations and architecture documentation are generated, keeping them synchronised with code.
SHOULD use static edges for deterministic transitions and conditional edges only at decision points.
SHOULD tag workflow nodes with authority metadata ('human approval required', 'autonomous if confidence exceeds threshold', 'always escalate to human') so decision provenance is transparent.

Classification

Patterns: State machineLogic tree
Technologies: LangGraph StateGraphLangGraph
Quality attributes: Maintainability (ISO/IEC 25010)
Risks mitigated: Invalid state transitions

Sources

Ch1.5A: T. Nguyen, "Stateful Orchestration - Introduction and Core Concepts," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.5A. ISBN: 9798244538229.
Ch1.5B: T. Nguyen, "Stateful Orchestration - Worked Examples," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.5B. ISBN: 9798244538229.
Ch2.1: T. Nguyen, "Framework Landscape and Selection," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.1. ISBN: 9798244538229.
Ch2.2: T. Nguyen, "LangGraph," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.2. ISBN: 9798244538229.
Ch5.4: T. Nguyen, "Hierarchical Planning Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 5.4. ISBN: 9798244538229.
Ch10.2: T. Nguyen, "Proactive Agents," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.2. ISBN: 9798244538229.
Ref7.07: E. Li, V. Bellotti, R. Kraus, and R. Kao, "Build a retrieval-augmented generation (RAG) agent with NVIDIA Nemotron," NVIDIA Technical Blog, Sep. 23, 2025. [Online]. Available: https://developer.nvidia.com/blog/build-a-rag-agent-with-nvidia-nemotron/