aiconfig-custom-metrics

What problem does it solve?

Creates, tracks, retrieves, updates, and deletes custom business metrics in LaunchDarkly, enabling end-to-end visibility of metric performance across projects.

Core Features & Use Cases

• Lifecycle management of custom metrics: define metrics, push events, fetch definitions, modify properties, and remove metrics using the API and SDK.
• Real-world scenarios include measuring feature impact, user engagement, revenue effects, and operational telemetry for AI configurations.

Quick Start

• Initialize the LaunchDarkly SDK and authenticate with a valid API token.
• Use create_metric() to define a new metric, then ld_client.track() to emit events.
• Retrieve, list, or update metrics to verify configurations and data collection.