Configs Targeting

This handles the targeting side of LaunchDarkly's AI configs, letting you set up rules for who gets which model configuration. You can do percentage rollouts, attribute-based targeting, segment rules, and individual overrides. The workflow is get current targeting to grab variation UUIDs, then send semantic patch instructions to add rules or update the fallthrough. One gotcha worth knowing: the usual turnTargetingOn instruction doesn't work for configs, you have to use updateFallthroughVariationOrRollout instead. The Python implementation shows the pattern pretty clearly. Useful if you're running controlled experiments with different model settings or rolling out prompt changes gradually.

Install to Claude Code

npx -y skills add launchdarkly/agent-skills --skill configs-targeting --agent claude-code