Runtime State

The practice of saving an execution state at defined points so a task or workflow can resume from the last checkpoint after interruption or failure.

A chronological record of the steps, decisions, tool invocations, inputs, outputs, and state transitions that occur during the execution of an AI system, agent, or workflow.

The process where an AI agent or system carries out a defined action, operation, or scheduled instruction.

The process of carrying out a selected action or tool invocation as part of an agent's plan while tracking its outcome and execution state.

The process by which an AI system detects execution failures, handles exceptions, and restores normal operation through retries, fallbacks, alternative actions, or corrective procedures.