agent-runtime-hooks

Agent lifecycle hooks enable agent execution observation by registering events like beforeStep and afterStep to log steps, trace tool calls, and monitor behavior across nested sub-agents during orchestration.

Yes, you can pause an AI agent for human intervention by registering a beforeToolCall hook to intercept tool execution, mock outcomes, or manually validate decisions before proceeding.

You mock tool call outcomes for agent testing by registering beforeToolCall and afterToolCall hooks to intercept execution, simulate responses, and validate agent decisions without triggering real tools.

Yes, the lifecycle hook system supports nested sub-agent calls, context compression, and tracing integrations to maintain observability and control across complex, multi-layered agent execution workflows.

Auditing agent decisions in production is best achieved by registering lifecycle hooks like onError and onComplete to capture execution events, trace tool interactions, and log decision paths across sub-agents.

Intercepting events across nested sub-agents requires an event-driven hook system capable of context compression and tracing integrations, ensuring hooks properly propagate through beforeStep and afterStep without breaking orchestration state.