The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / state-graph
State graph
An agent execution modeled as a directed graph of states and transitions — each node is a reasoning or tool-call step, each edge is a conditional transition.
What this means in practice
State graphs make agent control flow explicit and auditable, enabling deterministic replay and targeted intervention.
Synonyms
agent state graph , LangGraph state graph
See also
- Agent runtime — The execution substrate that hosts the agent loop, its tool calls, state, and recovery logic — e.g., LangGraph, CrewAI, AutoGen, or OpenAI Agents SDK.
- Agent loop — The iterative pattern in which a model plans, calls tools, observes the results, and replans — continuing until a goal is met, an iteration budget is exhausted, or a human intervenes.
- ReAct — An agentic prompt pattern interleaving reasoning steps (Thought) and action steps (Act — typically a tool call) over multiple turns, with observations from each action feeding the next reasoning step.
- Replayability — The ability to deterministically reproduce an agent trace given captured inputs — a recorded session, the prompt, the tool responses, the random seed.