You can add LaunchDarkly metrics to any AI agent call. This skill helps you pick the easiest way to track duration, tokens, and success or error. It walks you through a four-tier ladder. You start at the top and stop at the first tier that fits your code. The goal is to use the least amount of extra work while still getting all the data the monitoring tab needs.
Developers who use an AI SDK like OpenAI, LangChain, or a custom provider will find this useful. The skill tells you exactly what pattern to follow. For example, if your call is a chat loop you can use the managed runner. If not, you might use a provider package or a custom extractor. Only as a last resort do you write manual tracker calls.
Global
mkdir -p ~/.claude/skills/built-in-metricsProject
mkdir -p .claude/skills/built-in-metricsSource Repository
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