agent-runtime-hooks

You can add logging to agent workflows by registering custom hooks at lifecycle events like beforeStep and afterStep. This lets you monitor executions, log tool calls, and measure step durations for debugging.

Yes, you can intercept and modify tool calls during execution by attaching handlers to lifecycle events. This allows you to mock, extend, or monitor tool calls and human interventions for better transparency.

Agent lifecycle hooks are registered handlers triggered at execution events like beforeStep, afterStep, or onComplete. You need them to observe, customize, or audit AI agent behavior during development and runtime operations.

To measure execution time, register beforeStep and afterStep hooks to capture timestamps around individual agent steps. This profiles performance by tracking durations across tool calls and workflow phases.

Yes, the hook system supports intercepting context compression along with steps, tool calls, and human interventions. You can attach custom handlers to monitor and modify these specific agent pipeline events.

The best way to audit tool calls and human interventions is registering lifecycle hooks to intercept and log these events. This provides detailed observability and control over the agent execution pipeline.