Checkpointing

The dynamic status, variable values, and memory context preserved by an agent or system during active execution.

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 of reverting an execution state or system to a previous known good state following an error or failure.

A defined approach for automatically re-attempting failed operations or tasks to handle transient errors.

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