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title: "Monitoring Observability" component_type: hook version: "1.0.0" audience: contributor status: stable summary: " Monitoring & Observability Hook for CODITECT" keywords: ['monitoring', 'observability', 'optimization'] tokens: ~1500 created: 2025-12-22 updated: 2025-12-22

Monitoring & Observability Hook for CODITECT

Provides comprehensive visibility into hook execution, performance, and system health. Collects metrics, logs traces, and enables debugging and optimization.

Event: PostToolUse (all tools) Matcher: tool_name = "*" (all tools) Trigger: After every tool execution for complete observability

File: monitoring_observability.py

Classes

`MonitoringObservability`

Monitors hook execution and system observability

Functions

`main()`

Main hook entry point

`load_metrics()`

Load existing metrics

`init_metrics()`

Initialize metrics structure

`save_metrics()`

Save metrics to file

`record_trace(event, tool_name, duration, status, details)`

Record execution trace

`update_health_status()`

Update system health status

`get_performance_summary()`

Get performance summary

`monitor_execution(hook_input)`

Monitor hook execution

`record_completion(monitoring_data, status, error)`

Record hook completion

Usage

python monitoring_observability.py

title: "Monitoring Observability" component_type: hook version: "1.0.0" audience: contributor status: stable summary: " Monitoring & Observability Hook for CODITECT" keywords: ['monitoring', 'observability', 'optimization'] tokens: ~1500 created: 2025-12-22 updated: 2025-12-22​

Classes​

MonitoringObservability​

Functions​

main()​

load_metrics()​

init_metrics()​

save_metrics()​

record_trace(event, tool_name, duration, status, details)​

update_health_status()​

get_performance_summary()​

monitor_execution(hook_input)​

record_completion(monitoring_data, status, error)​

Usage​