
Aiconfig Ai Metrics
Instruments LaunchDarkly AI Config metrics into your existing provider calls by walking a four-tier ladder from managed runners down to manual tracking. The skill picks the lowest-ceremony option that still captures duration, tokens, and success/error for the Monitoring tab. You audit the call shape (chat loop vs one-shot), check which provider package exists (OpenAI, LangChain, Vercel AI SDK), then follow the matching reference pattern. The approach is opinionated: default to the highest tier that fits, wrap the existing call instead of rewriting it, and always check `config.enabled` before hitting the provider. Covers Python and Node across a dozen frameworks and providers.
- skills.sh installs
- 2K
- GitHub stars
- 19
- last updated
- Jul 14, 2026
Install
$ npx -y skills add launchdarkly/agent-skills --skill aiconfig-ai-metrics --agent claude-codeInstalls into .claude/skills of the current project.
Files
Deprecated — renamed to built-in-metrics
This skill has been renamed. Do not follow any instructions here and do not perform the task from this skill.
Invoke the built-in-metrics skill instead — it contains the current, complete instructions.
If you arrived here from an old reference (documentation, a saved prompt, or automation), update it from aiconfig-ai-metrics to built-in-metrics.
Sponsors
Details
- Repository
- github.com/launchdarkly/agent-skills
- Category
- AI & Agent Building
- First seen
- May 16, 2026
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