Plugins

LogLayer's plugin system allows you to extend and modify logging behavior at various points in the log lifecycle. Plugins can modify data and messages before they're sent to the logging library, control whether logs should be sent, and intercept metadata calls.

Available Plugins

Name	Package	Changelog	Description
Datadog APM Trace Injector Server		Changelog	Automatically inject Datadog APM trace context into logs for correlation
Filter Browser Server		Changelog	Filter logs using string patterns, regular expressions, or JSON Queries
OpenTelemetry Server		Changelog	Add OpenTelemetry trace context to logs
Redaction Browser Server		Changelog	Redact sensitive information from logs
Sprintf Browser Server		Changelog	Printf-style string formatting support

Plugin Management

Adding Plugins

You can add plugins when creating the LogLayer instance:

const log = new LogLayer({
  transport: new ConsoleTransport({
    logger: console
  }),
  plugins: [
    timestampPlugin(),
    {
      // id is optional
      id: 'sensitive-data-filter',
      onBeforeDataOut(params) {
        // a simple plugin that does something
        return params.data
      }
    }
  ]
})

Or add them later:

log.addPlugins([timestampPlugin()])
log.addPlugins([{
    onBeforeDataOut(params) {
        // a simple plugin that does something
        return params.data
    }
}])

Enabling/Disabling Plugins

Plugins can be enabled or disabled at runtime using their ID (if defined):

// Disable a plugin
log.disablePlugin('sensitive-data-filter')

// Enable a plugin
log.enablePlugin('sensitive-data-filter')

Removing Plugins

Remove a plugin using its ID (if defined):

log.removePlugin('sensitive-data-filter')

Replacing All Plugins

Replace all existing plugins with new ones:

log.withFreshPlugins([
  timestampPlugin(),
  {
    onBeforeDataOut(params) {
      // do something
      return params.data
    }
  }
])

When used with child loggers, this only affects the current logger instance and does not modify the parent's plugins.

Potential Performance Impact

Replacing plugins at runtime may have a performance impact if you are frequently creating new plugins. It is recommended to re-use the same plugin instance(s) where possible.