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aiconfig-targeting

Configure AI Config targeting rules for LaunchDarkly projects.

25|8|Updated Feb 3, 2026
Search Tags:#automation#api#targeting#segments#ai-configs#aiconfigs#rollouts
One-click install
npx skills add https://github.com/launchdarkly/agent-skills --skill aiconfig-targeting-launchdarkly
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aiconfig-targeting
Source: https://github.com/launchdarkly/agent-skills/tree/main/skills/ai-configs/aiconfig-targeting
Command: npx skills add https://github.com/launchdarkly/agent-skills --skill aiconfig-targeting-launchdarkly

SYSTEM DOCUMENTATION & REQUIREMENTS

## What problem does it solve? AI Config targeting is essential to control how variations are served across contexts, enabling safer, scalable feature management.

## Core Features & Use Cases

  • Enable percentage rollouts to AI Config variations for targeted audiences.
  • Create attribute-based and segment-based targeting rules to tailor behavior.
  • Manage fallthrough/default variations and guarded rollouts for safe deployments.

### Quick Start Copy the aiconfig-targeting folder into your agent's skills path and begin configuring targeting rules immediately.

Frequently Asked Questions about aiconfig-targeting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure percentage rollouts for AI Config variations in LaunchDarkly?▼

Configure percentage rollouts for AI Config variations by applying semantic patch API calls to environment-scoped updates. This controls how variations are served across contexts, enabling targeted audience distribution and safe deployments.

Can I target AI Config variations using custom attributes and segments?▼

Yes, you can create attribute-based and segment-based targeting rules to tailor AI Config behavior. This allows precise control over which contexts receive specific variations within your LaunchDarkly projects.

What is a fallthrough configuration and why do I need it for AI Config targeting?▼

A fallthrough configuration sets the default variation served when no targeting rules match a context. Managing safe default fallthroughs ensures guarded rollouts and prevents unintended behavior during AI Config deployments.

How do I update AI Config targeting rules safely using the semantic patch API?▼

Update AI Config targeting rules by executing semantic patch API calls that handle variation-ID mapping and environment-scoped updates. This ensures precise rule modifications without disrupting existing context targeting configurations.

Does LaunchDarkly AI Config targeting support environment-scoped updates?▼

Yes, AI Config targeting supports environment-scoped updates. You can apply semantic patch API calls to configure variation serving, percentage rollouts, and fallthrough rules independently across different project environments.

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