Retry Strategy

A policy that defines how and when a system re-attempts failed operations 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.

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

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.

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.